From 25d641d21ff1750407397160475865bbdf2d5993 Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 15:24:15 -0700 Subject: [PATCH 01/15] renames context_embeddings to document_embeddings --- .../Question_answering_using_embeddings.ipynb | 142 +++++++++--------- 1 file changed, 74 insertions(+), 68 deletions(-) diff --git a/examples/Question_answering_using_embeddings.ipynb b/examples/Question_answering_using_embeddings.ipynb index 85c265b8..71e30b51 100644 --- a/examples/Question_answering_using_embeddings.ipynb +++ b/examples/Question_answering_using_embeddings.ipynb @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "id": "9e3839a6-9146-4f60-b74b-19abbc24278d", "metadata": {}, "outputs": [], @@ -38,7 +38,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "id": "a167516c-7c19-4bda-afa5-031aa0ae13bb", "metadata": {}, "outputs": [ @@ -48,7 +48,7 @@ "\"The 2020 Summer Olympics men's high jump was won by Mariusz Przybylski of Poland.\"" ] }, - "execution_count": 5, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -83,7 +83,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "id": "a5451371-17fe-4ef3-aa02-affcf4edb0e0", "metadata": {}, "outputs": [ @@ -93,7 +93,7 @@ "\"Sorry, I don't know.\"" ] }, - "execution_count": 6, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -125,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "id": "fceaf665-2602-4788-bc44-9eb256a6f955", "metadata": {}, "outputs": [ @@ -135,7 +135,7 @@ "\"Gianmarco Tamberi and Mutaz Essa Barshim won the 2020 Summer Olympics men's high jump.\"" ] }, - "execution_count": 7, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -200,7 +200,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "id": "cc9c8d69-e234-48b4-87e3-935970e1523a", "metadata": {}, "outputs": [ @@ -245,57 +245,58 @@ " \n", " \n", " \n", - " Volleyball at the 2020 Summer Olympics – Women's tournament\n", - " Format\n", - " The preliminary round was a competition betwee...\n", - " 132\n", + " Nordic combined at the 2016 Winter Youth Olympics\n", + " Summary\n", + " Nordic combined at the 2016 Winter Youth Olymp...\n", + " 56\n", " \n", " \n", - " Rugby sevens at the 2020 Summer Olympics – Women's qualification\n", - " South America\n", - " Sudamérica Rugby held a tournament on 1–2 June...\n", - " 56\n", + " Morocco at the 2020 Summer Olympics\n", + " Judo\n", + " Morocco qualified two female judoka for each o...\n", + " 106\n", " \n", " \n", - " Canoeing at the 2020 Summer Olympics – Men's slalom C-1\n", - " Competition format\n", - " Slalom canoeing uses a three-round format, wit...\n", - " 136\n", + " Guinea-Bissau at the 2020 Summer Olympics\n", + " Wrestling\n", + " Guinea-Bissau qualified two wrestlers for each...\n", + " 69\n", " \n", " \n", - " Qualification\n", - " A National Olympic Committee (NOC) entered onl...\n", - " 171\n", + " Rome bid for the 2020 Summer Olympics\n", + " History\n", + " The Italian National Olympic Committee (CONI) ...\n", + " 738\n", " \n", " \n", - " Tunisia at the 2020 Summer Olympics\n", - " Athletics\n", - " Tunisian athletes further achieved the entry s...\n", - " 48\n", + " Italy at the 2020 Summer Olympics\n", + " Slalom\n", + " Italian canoeists qualified one boat for each ...\n", + " 76\n", " \n", " \n", "\n", "" ], "text/plain": [ - " content \\\n", - "title heading \n", - "Volleyball at the 2020 Summer Olympics – Women'... Format The preliminary round was a competition betwee... \n", - "Rugby sevens at the 2020 Summer Olympics – Wome... South America Sudamérica Rugby held a tournament on 1–2 June... \n", - "Canoeing at the 2020 Summer Olympics – Men's sl... Competition format Slalom canoeing uses a three-round format, wit... \n", - " Qualification A National Olympic Committee (NOC) entered onl... \n", - "Tunisia at the 2020 Summer Olympics Athletics Tunisian athletes further achieved the entry s... \n", + " content \\\n", + "title heading \n", + "Nordic combined at the 2016 Winter Youth Olympics Summary Nordic combined at the 2016 Winter Youth Olymp... \n", + "Morocco at the 2020 Summer Olympics Judo Morocco qualified two female judoka for each o... \n", + "Guinea-Bissau at the 2020 Summer Olympics Wrestling Guinea-Bissau qualified two wrestlers for each... \n", + "Rome bid for the 2020 Summer Olympics History The Italian National Olympic Committee (CONI) ... \n", + "Italy at the 2020 Summer Olympics Slalom Italian canoeists qualified one boat for each ... \n", "\n", - " tokens \n", - "title heading \n", - "Volleyball at the 2020 Summer Olympics – Women'... Format 132 \n", - "Rugby sevens at the 2020 Summer Olympics – Wome... South America 56 \n", - "Canoeing at the 2020 Summer Olympics – Men's sl... Competition format 136 \n", - " Qualification 171 \n", - "Tunisia at the 2020 Summer Olympics Athletics 48 " + " tokens \n", + "title heading \n", + "Nordic combined at the 2016 Winter Youth Olympics Summary 56 \n", + "Morocco at the 2020 Summer Olympics Judo 106 \n", + "Guinea-Bissau at the 2020 Summer Olympics Wrestling 69 \n", + "Rome bid for the 2020 Summer Olympics History 738 \n", + "Italy at the 2020 Summer Olympics Slalom 76 " ] }, - "execution_count": 8, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -324,7 +325,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 6, "id": "4b874907-5109-4eef-ad9a-add4367925a3", "metadata": {}, "outputs": [], @@ -337,7 +338,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "id": "ba475f30-ef7f-431c-b60d-d5970b62ad09", "metadata": {}, "outputs": [], @@ -368,7 +369,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 8, "id": "737266aa-cbe7-4691-87c1-fce8a31632f1", "metadata": {}, "outputs": [], @@ -398,7 +399,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 9, "id": "ab50bfca-cb02-41c6-b338-4400abe1d86e", "metadata": {}, "outputs": [], @@ -412,7 +413,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 10, "id": "b9a8c713-c8a9-47dc-85a4-871ee1395566", "metadata": {}, "outputs": [ @@ -446,7 +447,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 11, "id": "dcd680e9-f194-4180-b14f-fc357498eb92", "metadata": {}, "outputs": [], @@ -476,7 +477,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 12, "id": "e3a27d73-f47f-480d-b336-079414f749cb", "metadata": {}, "outputs": [ @@ -495,7 +496,7 @@ " (\"Athletics at the 2020 Summer Olympics – Women's long jump\", 'Summary'))]" ] }, - "execution_count": 15, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -506,7 +507,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 13, "id": "729c2ce7-8540-4ab2-bb3a-76c4dfcb689c", "metadata": {}, "outputs": [ @@ -525,7 +526,7 @@ " (\"Athletics at the 2020 Summer Olympics – Women's pole vault\", 'Summary'))]" ] }, - "execution_count": 16, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -554,7 +555,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 14, "id": "b763ace2-1946-48e0-8ff1-91ba335d47a0", "metadata": {}, "outputs": [ @@ -564,7 +565,7 @@ "'Context separator contains 3 tokens'" ] }, - "execution_count": 18, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -581,7 +582,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 15, "id": "0c5c0509-eeb9-4552-a5d4-6ace04ef73dd", "metadata": {}, "outputs": [], @@ -618,7 +619,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 16, "id": "f614045a-3917-4b28-9643-7e0c299ec1a7", "metadata": {}, "outputs": [ @@ -670,7 +671,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 17, "id": "b0edfec7-9243-4573-92e0-253d31c771ad", "metadata": {}, "outputs": [], @@ -685,7 +686,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 18, "id": "9c1c9a69-848e-4099-a90d-c8da36c153d5", "metadata": {}, "outputs": [], @@ -715,7 +716,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 19, "id": "c233e449-bf33-4c9e-b095-6a4dd278c8fd", "metadata": {}, "outputs": [ @@ -735,7 +736,7 @@ "'Gianmarco Tamberi and Mutaz Essa Barshim emerged as joint winners of the event following a tie between both of them as they cleared 2.37m.'" ] }, - "execution_count": 24, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -760,7 +761,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 20, "id": "1127867b-2884-44bb-9439-0e8ae171c835", "metadata": {}, "outputs": [ @@ -785,7 +786,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 21, "id": "720d9e0b-b189-4101-91ee-babf736199e6", "metadata": {}, "outputs": [ @@ -810,7 +811,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 22, "id": "4e8e51cc-e4eb-4557-9e09-2929d4df5b7f", "metadata": {}, "outputs": [ @@ -837,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 23, "id": "37c83519-e3c6-4c44-8b4a-98cbb3a5f5ba", "metadata": {}, "outputs": [ @@ -870,7 +871,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 24, "id": "26a1a9ef-e1ee-4f80-a1b1-6164ccfa5bac", "metadata": {}, "outputs": [ @@ -897,7 +898,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 25, "id": "9fba8a63-eb81-4661-ae17-59bb5e2933d6", "metadata": {}, "outputs": [ @@ -928,7 +929,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 26, "id": "2d4c693b-cdb9-4f4c-bd1b-f77b29097a1f", "metadata": {}, "outputs": [ @@ -961,7 +962,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3.9.9 ('openai')", "language": "python", "name": "python3" }, @@ -976,6 +977,11 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.9" + }, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } } }, "nbformat": 4, From 2515ddc7b8905e56160693e1a1fe08a6683436e4 Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 15:28:57 -0700 Subject: [PATCH 02/15] adds data for Obtain_dataset.ipynb --- examples/Obtain_dataset.ipynb | 81 +- examples/data/fine_food_reviews_1k.csv | 1001 ++++++++++++++++++++++++ 2 files changed, 1039 insertions(+), 43 deletions(-) create mode 100644 examples/data/fine_food_reviews_1k.csv diff --git a/examples/Obtain_dataset.ipynb b/examples/Obtain_dataset.ipynb index 80d1db33..bc6d0a40 100644 --- a/examples/Obtain_dataset.ipynb +++ b/examples/Obtain_dataset.ipynb @@ -45,57 +45,48 @@ " Text\n", " combined\n", " \n", - " \n", - " Id\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", - " 1\n", - " 1303862400\n", - " B001E4KFG0\n", - " A3SGXH7AUHU8GW\n", + " 0\n", + " 1351123200\n", + " B003XPF9BO\n", + " A3R7JR3FMEBXQB\n", " 5\n", - " Good Quality Dog Food\n", - " I have bought several of the Vitality canned d...\n", - " Title: Good Quality Dog Food; Content: I have ...\n", + " where does one start...and stop... with a tre...\n", + " Wanted to save some to bring to my Chicago fam...\n", + " Title: where does one start...and stop... wit...\n", " \n", " \n", - " 2\n", - " 1346976000\n", - " B00813GRG4\n", - " A1D87F6ZCVE5NK\n", + " 1\n", + " 1351123200\n", + " B003JK537S\n", + " A3JBPC3WFUT5ZP\n", " 1\n", - " Not as Advertised\n", - " Product arrived labeled as Jumbo Salted Peanut...\n", - " Title: Not as Advertised; Content: Product arr...\n", + " Arrived in pieces\n", + " Not pleased at all. When I opened the box, mos...\n", + " Title: Arrived in pieces; Content: Not pleased...\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Time ProductId UserId Score Summary \\\n", - "Id \n", - "1 1303862400 B001E4KFG0 A3SGXH7AUHU8GW 5 Good Quality Dog Food \n", - "2 1346976000 B00813GRG4 A1D87F6ZCVE5NK 1 Not as Advertised \n", + " Time ProductId UserId Score \\\n", + "0 1351123200 B003XPF9BO A3R7JR3FMEBXQB 5 \n", + "1 1351123200 B003JK537S A3JBPC3WFUT5ZP 1 \n", "\n", - " Text \\\n", - "Id \n", - "1 I have bought several of the Vitality canned d... \n", - "2 Product arrived labeled as Jumbo Salted Peanut... \n", + " Summary \\\n", + "0 where does one start...and stop... with a tre... \n", + "1 Arrived in pieces \n", "\n", - " combined \n", - "Id \n", - "1 Title: Good Quality Dog Food; Content: I have ... \n", - "2 Title: Not as Advertised; Content: Product arr... " + " Text \\\n", + "0 Wanted to save some to bring to my Chicago fam... \n", + "1 Not pleased at all. When I opened the box, mos... \n", + "\n", + " combined \n", + "0 Title: where does one start...and stop... wit... \n", + "1 Title: Arrived in pieces; Content: Not pleased... " ] }, "execution_count": 1, @@ -106,7 +97,8 @@ "source": [ "import pandas as pd\n", "\n", - "df = pd.read_csv('input/Reviews.csv', index_col=0)\n", + "input_datapath = 'data/fine_food_reviews_1k.csv' # to save space, we provide a pre-filtered dataset\n", + "df = pd.read_csv(input_datapath, index_col=0)\n", "df = df[['Time', 'ProductId', 'UserId', 'Score', 'Summary', 'Text']]\n", "df = df.dropna()\n", "df['combined'] = \"Title: \" + df.Summary.str.strip() + \"; Content: \" + df.Text.str.strip()\n", @@ -161,16 +153,14 @@ "# This will take just under 10 minutes\n", "df['babbage_similarity'] = df.combined.apply(lambda x: get_embedding(x, engine='text-similarity-babbage-001'))\n", "df['babbage_search'] = df.combined.apply(lambda x: get_embedding(x, engine='text-search-babbage-doc-001'))\n", - "df.to_csv('output/embedded_1k_reviews.csv')" + "df.to_csv('data/fine_food_reviews_with_embeddings_1k.csv')" ] } ], "metadata": { - "interpreter": { - "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8" - }, "kernelspec": { - "display_name": "Python 3.7.3 64-bit ('base': conda)", + "display_name": "Python 3.9.9 ('openai')", + "language": "python", "name": "python3" }, "language_info": { @@ -185,7 +175,12 @@ "pygments_lexer": "ipython3", "version": "3.9.9" }, - "orig_nbformat": 4 + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } }, "nbformat": 4, "nbformat_minor": 2 diff --git a/examples/data/fine_food_reviews_1k.csv b/examples/data/fine_food_reviews_1k.csv new file mode 100644 index 00000000..6aba5fdd --- /dev/null +++ b/examples/data/fine_food_reviews_1k.csv @@ -0,0 +1,1001 @@ +,Time,ProductId,UserId,Score,Summary,Text +0,1351123200,B003XPF9BO,A3R7JR3FMEBXQB,5,where does one start...and stop... with a treat like this,Wanted to save some to bring to my Chicago family but my North Carolina family ate all 4 boxes before I could pack. These are excellent...could serve to anyone +1,1351123200,B003JK537S,A3JBPC3WFUT5ZP,1,Arrived in pieces,"Not pleased at all. When I opened the box, most of the rings were broken in pieces. A total waste of money." +2,1351123200,B000JMBE7M,AQX1N6A51QOKG,4,"It isn't blanc mange, but isn't bad . . .","I'm not sure that custard is really custard without eggs. But this comes close. I got it for use in a ""Vegan pancake"" recipe. We were having houseguests who were Vegan and I wanted to make some special breakfasts while they were here. One of the cooking/recipe sites had a recipe using this and there were lots of great reviews. I tried the recipe and it turned out like wallpaper paste -- yuck!
However, the so-called custard isn't so bad. I think it's probably just cornstarch and annatto (yellow coloring with a slight flavor). It's fun playing with it. You could dress it up with fruit. Seems to come out on the thin side when you make it as directed, so I use less milk because I like my custards to set firm. As a custard sauce it's fine. I would say it tastes something between a pudding and a custard.

If you want a really good egg-free ""custard"" get an original recipe for ""blanc mange."" It takes a lot longer to make, but it's certainly worth the difference." +3,1351123200,B004AHGBX4,A2UY46X0OSNVUQ,3,These also have SALT and it's not sea salt.,"I like the fact that you can see what you're getting and that there are no bones or dark meat. There are 7 nice big chunks in every jar.

These taste like tuna in a can but, because they're preserved in glass, you don't have to worry about either aluminum or BPA; BUT ... they are not just tuna and spring water.

There is salt in there, too, and it's not healthy sea salt, it's toxic table salt.

I am trying to contact Tonnino to confirm that. I might be wrong because the label states that the ingredients are ""tuna fish"" but the sticker on the top clarifies that it is the smaller (healthier) yellowfin, so the ""salt"" listed in the ingredients might be sea salt but, if it was, why don't they say so?

Without confirmation, I will continue to look for a salt-free olive-oil free tuna preserved in glass.

If you know of one, please contact me!" +4,1351123200,B001BORBHO,A1AFOYZ9HSM2CZ,5,Happy with the product,My dog was suffering with itchy skin. He had been eating Natural Choice brand (cheaper) since he was a puppy. I was nervous to change foods. The vet suggested to change foods sand see if the skin issues cleared up. Wellness brand did the job. My dog seems to love the food and the skin issues cleared up within a few weeks. +5,1351123200,B008PSM0BQ,A3OUFIMGL2K6RS,4,Good Sauce,"This is a good all purpose sauce. Has good flavor that the heat doesn't overpower. Not really that spicy unless you use a whole bunch. 10 good drops is about enough to add a little heat to a pot of soup, but a lot more is needed if you want a lingering burn. Heat isn't quite up to par with other products out there, (such as Spontaneous Combustion) but this has the true aged cayenne hot sauce flavor." +6,1351123200,B008YA1LQK,A9YEAAQVHFUTX,5,Blackcat,Great coffee! Love all Green Mountain coffee and all the wonderful flavors. Would and do recommend this coffee to all my friends. +7,1351123200,B001KP6B98,ABWCUS3HBDZRS,5,Excellent product,After scouring every store in town for orange peels and not finding anything satisfactory I turned to the online options.

I received the candied orange peels today and I found exactly what I was looking for. The peels are perfect for the fruit cake I plan to bake. The peels are not crystallized with sugar which is great I like the texture and the taste of the peels and I am gonna order another box soon. +8,1351123200,B008YA1LQK,A2RSB6FVQ9K9OD,5,Bulk k-Cups,This is the best way to buy coffee for my office. Least expensive way to buy convenience with harder to find flavor and brand. I also buy this way for home. +9,1351123200,B001E5E2QI,A23WYVBCNE75X1,3,It's Okay,"Next time, I will buy Gevalia Irish Cream decaf coffee. I thought this would be as good, but it's mostly sugar." +10,1351123200,B000H9K4KA,A2WMZYYF8OSGD6,5,FABULOUS...,Absolutely wonderful. A real licorice taste. No phony baloney here!
It has a great flavor. I'd purchase it again for sure. +11,1351123200,B004QDA8WC,ANM000BVVUSCT,5,"Exactly what I was looking for: Fast, fantastic Chai!","I was skeptical as to how good an all-in-one Chai Tea for Keurig could be, but my doubts were erased at my first sip! The spice blend is great, as is the sweetening and the dairy component. This is the kind of thing I was hoping I could get from my single-serve coffeemaker!

Order some, you will thank yourself every time you brew a cup." +12,1351123200,B000K8T3OQ,AK43Y4WT6FFR3,1,Broken in a million pieces,"Chips were broken into small pieces. Problem isn't amazon's, it's Stacy's. Stacy (or amazon) needs to pack the original box of six better, the bags move around too much. There was room for at least two more bags in the box.
Amazon packed the Stacy's box in their box very tight and good.

I tried to complain to Stacy, they make it very hard, no luck.
Chips taste great though, maybe I'll pour them in a bowl with milk for breakfast." +13,1351123200,B0051C0J6M,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +14,1351123200,B0051C0J6M,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +15,1351123200,B003J9HAU2,A23WYVBCNE75X1,3,it's alright,My kitten prefers Kitten Chow or Iams. He leaves it in his bowl unlike other brands I have purchased in the past. +16,1351123200,B001444G5Q,A3FIA99WOIL40T,2,these are mini candy bars.,I was very disappointed with this order because no where on the description did it say that these were mini candy bars. If you don't want mini's DO NOT BY THIS PACKAGE!!!! Now I have to spend more money because it would cost a ton of money to send these back and I'm not going to give out mini's to trick or treaters. +17,1351123200,B006Q7YG24,A7EU2BWLLCJY2,5,My dogs love them!,"I've tried several different kinds of freeze-dried chicken treats and, for the most part, they are all so dehydrated that they literally turn into dust in the bag. You get a couple of solid pieces out of a bag, then the rest you have to sprinkle on top of dog food because it's just chicken powder. These don't do that! They have some additional ingredients in them besides chicken (veggies and fruit mostly) so they stay together very nicely. They are definitely designed for larger dogs - each treat is about the size of a fifty-cent piece (when was the last time you saw one of those?) and about a quarter to a half an inch thick. But they break easily into smaller pieces for little dogs. I have teeny, tiny chihuahuas so I have to break these treats into M&M-sized pieces for them, but they can't get enough! And the bag goes a long ways if you are breaking them down into smaller treats. These are now permanently on my shopping list for my babies." +18,1351123200,B008JKSJJ2,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +19,1351123200,B008JKSJJ2,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +20,1351123200,B006N3HZ6K,A2CSPTFY7QPT78,5,Great bold taste-- compare to Emeril's Bold,"I've been drinking Emeril's Bold for a year and a half, and wanted to try something different. A review led me to this brand, and I love it too! I'm a strong coffee gal-- I like Starbuck's-- so this is right up my alley." +21,1351123200,B006N3HZ6K,A3NIBMLKUK73JC,5,Great flavor no bite,This coffee is a favorite of mine and many others. Jet Fuel is dark roasted but smooth and rich with no bite! +22,1351123200,B008FHUGNQ,A2CSPTFY7QPT78,5,Great bold taste-- compare to Emeril's Bold,"I've been drinking Emeril's Bold for a year and a half, and wanted to try something different. A review led me to this brand, and I love it too! I'm a strong coffee gal-- I like Starbuck's-- so this is right up my alley." +23,1351123200,B008FHUGNQ,A3NIBMLKUK73JC,5,Great flavor no bite,This coffee is a favorite of mine and many others. Jet Fuel is dark roasted but smooth and rich with no bite! +24,1351123200,B003R0LKRW,A1OQSU5KYXEEAE,1,Food Caused Illness,"I switched my cats over from the Blue Buffalo Wildnerness Food to this food in May. The cats weren't thrilled with the food, but I stuck with it anyway. In October, I took one of the cats to vet for weight loss and hair loss. After various testing, the vet proposed the problem was this food. I don't know why it made one of the cats so sick and not the others, but I am very upset that I caused my cat to become ill by switching her food. I am throwing out the rest of this food immediatetly." +25,1351123200,B004F7EFVE,A24UHAYXKSS3AP,5,Yum,My kids love these Earnest Eats snacks. I like that they are more nutritional and healthier that traditional snack bars in the grocery store. I also admire the use non-oil alternative products such as almond butter and non-processed sugar such as dried fruit for sweetness. I have already ordered these bars 3 times and will continue! +26,1351123200,B0011T2SAO,AK0K4RNBQ9NM7,3,Saifun was too thin!,"This saifun was very thin and would not ""swell"" up like other brands of saifun I have used in the past. Had to use three times as much as the usual saifun amounts to make my dishes. Will not buy this again!!" +27,1351123200,B001D0DMMY,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +28,1351123200,B001D0DMMY,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +29,1351123200,B007I7Z3Z0,ATTK7J5JWVDYD,5,yummy,these are the best super yummy and i never get sick of the flavor. a little bit pricey but not filled with sugar +30,1351123200,B001EQ5MT8,A1LZ8VQVNPI30N,5,Better than you-know-who's coffee...,"So my wife is a latte freak, and nursing, so decaf is the approved type. After the Senseo left the market, I struggled and found the Aerobie AeroPress Coffee and Espresso Maker which is like a French Press for the 21st century. After getting our recipe figured out, my wife, who's been buying Venti Decaf Latte's at $4 a pop almost daily for years now declares that Seattle's best Level 3 Decaf in her home-made Latte is the best coffee she can get. We've tried other bands, and this is her favorite, hands down!" +31,1351123200,B004X8TGVY,A3HQAPXAJV7PRX,5,Like Triscuits but healthier,"We have bought a lot of Kashi Heart to Heart crackers since DH had a heart attack last year, but we've never tried the originals. I didn't realize it, but these are the woven wheat type of cracker like Triscuits, not crackers like the other ones we've been buying. They are not as salty as Triscuits (or they couldn't claim to be heart-healthy), but if you make heart-healthy spreads to put on them using flavorful salt substitutes, you won't miss the salt. They can be used for everything you'd use Triscuits for. I'm really glad these are available." +32,1351123200,B007OSBEV0,A2HE0D04TNG6CS,1,Disappointed,I received the offer from Amazon and had never tried this brand before. I thought since Martinson's had been in business for a long time that I would order. I was disappointed. The flavor was not what I expected and each cup of coffee had a residue in it. I have not had any of the other brands do that so I know it had to be the coffee. I am guessing that the coffee was ground to fine for a K-Cup. I only have 8 more left and will be glad. I will not buy this brand again. +33,1351123200,B003EML8PM,A3VERUHFCZ5S51,5,Ms. Mac's Review,I loved this item. I wish I could find it in the stores. Walmart carried this item in Louisiana for some time. When I travel to Louisiana I sometime can find this item at Fred's. I have not found this item in the Houston area. Easy to prepare and a great conversation piece. No one here has seen this before. I purchased this item at Amazon. +34,1351123200,B007OSBEV0,A2WMWK5GJCY8SH,5,Good coffee.,This is the best Donut Shop Blend out there. Though most k-cups taste a little freeze dried. Keurig needs to work on that. I prefer San Francisco Bay Coffee Company. +35,1351123200,B000VDL7RG,A2QGTXLC93BRV9,4,Good but not as good as I remember,"I could be wrong but it seems like these used to be better. After reading reviews I think something went down in quality once BIGS took over production but with that said, these are still good sunflower seeds and addicting. There was an abundance of seeds that looked like they were smashed together or had gotten a ton of whatever the seasoning was glued onto them in a glob but at least 90% of each package was the normal single seed, non-misformed kind. All in all these are worth buying if you like sunflower seeds but if you have had them before BIGS was outsourced to produce them you may be a little disappointed as I was as they went from great to good." +36,1351123200,B003U9TAH2,A1QA6BI0T8A81I,5,Very good,"It tastes delisious, and works efectively if yo drink it at the rigth time. Lean body is the suplement with the best flavor I've ever tasted" +37,1351123200,B000FBM3RC,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +38,1351123200,B0076YVPFC,A23E9ZPS2RQZS0,5,Tasty and Quick Pasta,"Barilla Whole Grain Fusilli with Vegetable Marinara is tasty and has an excellent chunky vegetable marinara. I just wish there was more of it. If you aren't starving or on a diet, the 9oz serving is enough for lunch although you might want to add a piece of fruit to feel full. The whole grain fusilli cooked to al dente tenderness following the instructions and the chunky marinara sauce is so good that I wished there was more of it. Rarely do I eat sauce alone but this sauce is good enough to." +39,1351123200,B0076YVPFC,A3FD3BHIUYIFPD,3,Handy,"Love the idea of ready in a minute pasta and for that alone this product gets praise. The pasta is whole grain so that's a big plus and it actually comes out al dente. The vegetable marinara sauce is tasty, but has a high salt content - 710mg for a 9 oz. serving.

It looks like much thought and testing went into creating the packaging, but I found it challenging. You need to pull back the film to expose the sauce tray -- and not spill it. I had to pull hard on the film, which made the sauce cup wiggle. Easy to work around, but tricky nonetheless.

All in all a step up from usual microwave in a minute fare." +40,1351123200,B005VUILWI,A1X2LENOF84LCQ,3,sweet enough for me but is not all stevia,"I feel it is sweet enough for me but I am trying to tame my sweet tooth and cutting back on sweets. I don't like that it has the agave in it, It is not something I am interested in using on a regular basis. There is some controversy it seems over how good agave really is for your body. I am looking for a natural sweetener that is good for you and tastes good. I am not completely convinced that this is what I want. Everyone has there own tastes and can make their own decisions. This is just my opinion." +41,1351123200,B005VUILWI,AS44QEHT3KSPK,3,ok....not the best,"I've tried a lot of stevia - not sure why this has agave or silica but then again, the last stevia I bought had lactose listed first, then stevia leaf.

The taste is good and it dissovles fast, but I wish it was just pure stevia." +42,1351123200,B003M60630,AJVDF84AZB2OU,5,Celestial Iced Black Tea,This is my favorite brand of black iced tea. I have tried others and they don't compare to the flavor of Celestial Seasons. +43,1351123200,B0000CNU0B,A27ZW7Y1XVK473,5,Great stuff,I use this to make a broth for noodles and soup. it reminds me of the days I spent in Japan. easy to use. +44,1351123200,B004SC56MS,A212SRA4Z8BNJY,5,Very pleased,"Good size for my papillon and pomeranian-mix. These are dense, not airy- so they last longer and from the USA." +45,1351123200,B0076YVPFC,A3OJX18B60PJR9,4,"Tasty & convenient but at $3.21 a package, not the best value available","Daverat's Wife speaking: I made this for my husband and it was very easy to prepare in the microwave. He enjoyed the meal and stated that he'd love to have them on hand if the price point was more reasonable. He ate his Fusilla & Veg Marinara with a large salad seasoned only with some balsamic vingar and had it for his dinner meal. To use the Chinese food cliche, he told me an hour later he was hungry again so I made him a grilled chicken breast. That got me to thinking that the packaged meal alone wouldn't work for us as a stand-alone meal. We'd have to add to it for it to work. If these were a dollar per package cheaper after Subscribe & Save, they might make a good shelf stable meal to which you could add cooked chicken strips, canned chicken, black beans or even a high quality pouched tuna. On it's own, it's not filling enough nor nutritionally complete.

Right at this moment, Amazon is showing me an offer for a $5 off Amazon coupon which when applied, brings the price point after Subscribe & Save down to $2.38, which is quite a bit better and rather tempting. However, after seeing this, I asked my husband if he wanted me to order some for the pantry and suddenly he wasn't as in love with the product any more. Oh well! When you add in the cost of a small salad plus some lean protein such as the gilled chicken breast, even with the $5 off, it brings the per meal cost back up to around $4.60. That may sound like a bargain if you eat out often or grab fast food a few nights a week but we don't. I plan our meals out for the week and even sometimes for an entire month ahead of time to get the most from every grocery item we buy and I could make this same dish using Barilla High protein pasta, my own vegetable marinara with veg from my gardens and come out quite a bit cheaper. I also think I could eliminate some of the high sodium contant and bring down the fat in the dish as well.

I gave it four stars, however, because hubby liked it, it was simple to prepare and even a starving teenager can toss in some chicken strips of canned chicken to make it a more filling meal. There's enough sauce in the meal to coat a moderate amount of added chicken or meat. I could see this being a good pantry staple for a college student or a busy single person. As shelf-stable meals go, even though I wasn't all that impressed with the sodium count and fat, this brand compares quite favorable with other shelf-stable meals. It could be a good choice for folks in ned of something o brag and nuke quickly at the end of a long day and in place of ordering in restaurant food. For a family on a budget.. not so much of a deal." +46,1351123200,B000EDG4TE,A3SFGVQV4SJHJH,5,"Bob's Red Mill Pumpkin Seeds, Raw","These came fresh, and sprout well for me. I am very pleased with them. They make a tasty and nutritious addition to our salads. As usual, Amazon delivery and postage was great with the super saving shipping option." +47,1351123200,B008RMU23S,A1JW7RH2UKUXW6,5,best ever,"The type of food stuff that calls to you in the middle of the night, knowing that you have to go to the kitchen and enjoy more of these" +48,1351123200,B006WYUFDU,AAYYRMUPU3JDO,5,Lab puppy loves it,"My 4 month old lab has been on this for about 2 months and loves it. I didn't want to feed her any chicken products, so I opted for the lamb. Her coat is shiny and she has lots of energy. If you're looking for an alternative to chicken-based puppy food, I highly recommend this one." +49,1351123200,B0001GCAR4,A1G3RMTUPLVQIL,4,pretty good but not the best,"being raised in germany, i always had the great marzipan. when i got this box it actually did taste pretty good but it was somewhat dry, though i think the toasting is the cause of that. it didnt have an intense flavor and was more sweet than almondy, another reason it wasnt my favorite. i love marzipan but i cant afford the real expensive stuff so i buy this stuff and its delicious either way, since i rarely get to try it.
shipping was on time and it was fresh. so all in all i rate this four, for the good service, and the good tasting candy.
warning- it was smaller than i expected." +50,1351123200,B00370ESNU,AD94E61T77UFV,2,"Flavor OK - Everything else, bad.","I was really excited to find this soda. Taste isn't bad, takes a couple of days to get used to. It's only fizzy when you first pour it out, then it turns into what looks like flat soda. The dealbreaker here is this soda has caused horrible diarrhea. I'm actually posting this review from the toilet as my stomach makes noises. This is my 3rd trip today.

I'll try my luck with the occasional Splenda soda. This has been a bad experience. I'm scared to give it to y kids because I don't want them to have an accident at school." +51,1351123200,B004LYQJSS,A1MZ9AO9IUJ6MY,5,amazing taste,This coffee is amazing...nice flavor..very smooth. Great morning coffee! I would definitely buy this again and the price is great! +52,1351123200,B003U4M4ZC,A3V7HRQR1OQPQ7,5,An Authentic Movie Theater Popcorn Experience.,"My wife is a popcorn fanatic and especially loves that Authentic Movie Theater Popcorn. I have been trying relentlessly to re-create that experience at home using various products, from clarified butter, to flavacol, to movie butter seasoning.. all of which came close but not exactly it. After trying the Snappy Butter Burst Oil we agreed this was the closest we've tasted that fit that flavor profile of Authentic Movie Theater Popcorn. Of course you have remember to include the other steps as well , like cooking on the stove vs. a hot-air popper and cooking with coconut oil while also using fine-grained salt to top afterwards. (not regular table salt, the fine-grained salt gives much better coverage ).

I could not find any nutritional information on the product so here it is :
1 tablespoon Serving Size
Total Fat : 14g
Saturated Fat: 2g
Trans Fatty Fat: 0
Polyunsaturated Fat: 8g
Monounsaturated Fat: 4g
Cholesterol: 0mg
Sodium: 0mg
Total Carbohydrate: 0g
Protein: 0g

Ingredients: soybean oil, Artificial Butter Flavor, TBHQ and citric acid, Beta Carotene

Suggestion: purchase a pump for use with the gallon size or , as we like to do, use a cup with a pouring spout (measuring cup will do), heat 1 - 2 tablespoons in microwave for 10-15 seconds and slowly pour warmed oil over popped corn ( layering in the popcorn to maximize coverage) .

kick back and enjoy your favorite movie, an episode of your favorite drama, or just enjoy the popcorn all to yourself - whatever suits your mood." +53,1351123200,B001NGAT9W,A111SHKHPDN8N,5,A Hit!,"We had an Autumn soup party a couple of weeks ago, featuring 3 different soups and different artisan breads. The overwhelmingly favorite soup was the Illinois Prairie Corn Chowder. It couldn't have been easier to prepare, and I added absolutely nothing to it (except the fresh corn, as recommended on the package) and it tasted fantastic. Everyone wanted my soup recipe and were surprised when I revealed that it was an easy to make packaged soup.

The package makes a lot of soup, about 12 servings. Since I had a large group, I made up two packages. We were able to send extra servings home with our guests, and still had plenty left over for ourselves.

I saw a review that suggested adding some cooked bacon to the soup. I'm going to try that next time, even though the package mix requires no extra flavoring. I just like the flavor of bacon.

I'd recommend this soup to anyone who likes corn, chowder, and a rich tasty soup." +54,1351123200,B001L492LW,AESXR5WVO087C,5,give this product a try,"You love them, don't love them or you will never try eatting
anchovies. That is usually the way it is. For those of you who
are passionate and really enjoy eatting anchovies then give
this product a try. Whether eatting them just because, putting
them in salad or saving some money and putting them on pizza
slices, this product does not disappoint. Not much more to add
if you have read the other positive reviews here about this
particular product. Upon placing the order the product arrived
8 days later. My only issue was one of the bottles appeared
slighty ajar and the oil/liquid had slightly leaked out. The
product seemed well packed so I can only assume it may have
been roughed up by the delivery company. All things considered
giving this product five stars and I highly recommend." +55,1351123200,B000WEPI1K,A3F14GVSJMJ0WH,2,dingos,The red part of the dingos was missing from 3 of the balls in one bag and two of them in the other. The others have not been opened yet and I found this very upsetting since this is the part the the puppies go for first. I don't mind paying that price if it is as shown. The bag show no white only balls.
Theresa Miller +56,1351123200,B0084HNA80,AXJ1QYBUL86ON,3,This price is ridiculous!,"There's nothing wrong with variety, except when it comes at too high a price. If you want variety, go in with a friend on a few of the 9 bags for $26.01 deals that are offered for different flavors of Beanitos. My favorite are the pinto bean with cheddar cheese variety. I lost interest very quickly in the black bean and sea salt and chipotle barbecue flavors." +57,1351123200,B006YXOOI6,A84YJWMIO30HH,5,expectations met,Is what it says it is would never think it came out of a can would not be suprised to see this product on major. store shelves on account of quality +58,1351123200,B00153SS6E,A3EL8POFM0SH1O,5,My precious child (yorkie) REFUSED to eat for 2 months!!!!!,"I have literally been frantic over ""Celli"" (nickname for Andrea Bocelli) not eating anything except treats..no nutritive value..for 2 months!!! I cooked grilled chicken breasts, beef cooked every way, even lean pork chops...no deal...It is very grueling to watch your only baby starving!!! I tried 32 flavors of dog food. He has always preferred dry food over canned food. So I was perusing the dog food offered by my ""hero sight"" Amazon,and something about Halo Spots Stew caught my attention. For days I went back and forth between flavors that my pooch would find appealing. Finally, I settled on the adult lamb recipe. After ordering I thought ""Oh no, the kibble is going to be too large for his small mouth""( Am I neurotic, doting mother or what?) Anyone who thinks I am totally disgusting doesn't know what this situation is like!! I was prepared to chop the dog food in my food processor...BUT, the food arrived quickly, as usual for Amazon, and what a surprise!!! Upon opening the bag of food, to my pleasant surprise, the smell of the food was so good..so fresh.. and the kibble is so small!! Now for the happy ending...Celli ate every bit in his bowl as if to say ""This is what I've been waiting for""...Mommy will rest tonight...Thanks Halo and Amazon...My love and gratitude to you!!!" +59,1351123200,B0041CH4I4,A4BFKBO2SU9AX,4,Yummy & Great Small Gift,"If someone who will remain nameless would stop eating all mine, then I wouldn't have had to get the box of 20 Chimes ginger candy tins. But I'm glad I did. The packaging is cute, and makes a great small gift to hand out to a co-worker having a rough day, a client when you visit, or a friend when you stop by to watch the game. The tins are recyclable in most locations. The individually wrapped candies are made with cane sugar and real ginger, no high fructose corn syrup so they are in a way better for you than other candy options. Ginger has anti-inflammatory properties and can settle a stomach and ease hearburn. When's the last time your chocolate bar did that?" +60,1351123200,B000LVM4EI,ATTK7J5JWVDYD,5,yummy,the best matza balls out there- super yummy with salt. too bad they guy stopped selling them since it was the best price out there. +61,1351123200,B00461CQQU,A2819LG8LK369A,5,Best coffee ever!,"In my opinion this is the best coffee ever! I've been drinking coffee for 50 plus years and this is what I serve to myself and friends. However, I wish I could find this grind in a pound size, so I could make a full pot rather than just a single cup." +62,1351123200,B007JFMH8M,A1CHOKV10NEI8X,5,Good cookies.,"Good oatmeal cookies.

You can pretend you're eating something healthy. When your marathoner, vegan, 4% body-fat co-worker says, ""Cookies?"" in their smug, disdainful fashion, you can reply, ""No, it's oatmeal"". Then cram another seven in your mouth, 'cause these are *really* good cookies.

E.M. Van Court" +63,1351123200,B0083T6HC0,A3MV6OUJ8WVZ2Z,3,34 unique and one duplicate,"It said 35 different but we got 34 different and a duplicate of the caramel cappuccino. Little disappointed in this. Otherwise it is what it said, a selection of coffee, flavored coffee, decaf, half caf, cider, hot cocoa and tea. I was hoping for the chocolate glazed donut and did not get one but I did get a cinnamon roll k cup." +64,1351123200,B003EM7J9Q,A3VERUHFCZ5S51,5,Ms. Mac's Review,I loved this item. I wish I could find it in the stores. Walmart carried this item in Louisiana for some time. When I travel to Louisiana I sometime can find this item at Fred's. I have not found this item in the Houston area. Easy to prepare and a great conversation piece. No one here has seen this before. I purchased this item at Amazon. +65,1351123200,B000NKHI16,A3TRJP82AD6LXF,5,Excellent! No artificial junk.,"It last longer then most gums today. Plus it doesnt have any artificial coloring, flavor or sweeteners. I also like the green ones." +66,1351123200,B008HF0KS2,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +67,1351123200,B00472OAJ4,A3EL8POFM0SH1O,5,My precious child (yorkie) REFUSED to eat for 2 months!!!!!,"I have literally been frantic over ""Celli"" (nickname for Andrea Bocelli) not eating anything except treats..no nutritive value..for 2 months!!! I cooked grilled chicken breasts, beef cooked every way, even lean pork chops...no deal...It is very grueling to watch your only baby starving!!! I tried 32 flavors of dog food. He has always preferred dry food over canned food. So I was perusing the dog food offered by my ""hero sight"" Amazon,and something about Halo Spots Stew caught my attention. For days I went back and forth between flavors that my pooch would find appealing. Finally, I settled on the adult lamb recipe. After ordering I thought ""Oh no, the kibble is going to be too large for his small mouth""( Am I neurotic, doting mother or what?) Anyone who thinks I am totally disgusting doesn't know what this situation is like!! I was prepared to chop the dog food in my food processor...BUT, the food arrived quickly, as usual for Amazon, and what a surprise!!! Upon opening the bag of food, to my pleasant surprise, the smell of the food was so good..so fresh.. and the kibble is so small!! Now for the happy ending...Celli ate every bit in his bowl as if to say ""This is what I've been waiting for""...Mommy will rest tonight...Thanks Halo and Amazon...My love and gratitude to you!!!" +68,1351123200,B008MOXGKC,A1BCDQAWWZ4JT0,3,Not Syrup,"The product has a good strong ginger flavor and is sweet; it is, however, not syrup. Sweet ginger water would be a more accurate description." +69,1351123200,B0002DGL26,A1QNH9R3AJ1T3K,5,Great product for puppies that are teething!,"This product was great for my teething puppy, who loves to chew everything and anything that he can find. Definitely a great alternative and he loved all three of the bones." +70,1351123200,B002U5A7U6,A1LBGXE29GG1IR,5,Addictive,"I never cared much for the original Cherry Coke, but I love the new Cherry Zero version. Twelve cans just don't last long around me as I will drink one after another." +71,1351123200,B002GWH9NG,A1U3V5T2YANITN,5,My favorite base coffee for blending,"There are many wonderful and complex flavors that good coffees can offer. This is my mainstay since it has great smooth and rich coffee flavor. It isn't acidy or bitter at all. Actually I like a little acidity so my favorite is to blend this with the Smoked Coffee offered on Coffee Bean Direct's website. Dark Sumatra makes the best base coffee for any blend that I've tried. Costa Rican Tarrazu won't stand on its own but will add just the right amount of acidity to make it my second best choice to blend with Dark Sumatra. If you want to discover the flavorful world of rich coffees, Dark Sumatra is the starting point, then start playing with it." +72,1351123200,B004NRHBBM,A1CXULFGIOT346,5,The best sticky rice out there,"I love Tamanishiki rice, it's some of the best quality rice you can get. True it's a little more expensive, but a large bag like this lasts a while and I find it to be worth the cost for a rice-lover like myself." +73,1351123200,B0009K77O8,A06364072LBY1F3ING9XN,5,"Best Tea, Fast shipping & packed and sealed nicely!","one of the best tea i've ever tasted so far! I had a hard time finding brown rice tea in any supemarket in NH, so i looked @ amazon and got one! If i ran out of tea, i will order more at Yamamotoyama :)" +74,1351123200,B0032GL19S,A25C2M3QF9G7OQ,5,"Tasty, and the yogurt coating is a nice addition","While I like yogurt out of a cup, I'm usually not fond of things that are dipped in yogurt. These are the exception - the yogurt coating on the bottom adds a very nice taste to the granola. Sweet, but not candy bar sweet. I prefer the strawberry over the vanilla, but both are good.

The granola itself is soft but still holds together as a bar. The calorie count is decent (120 per bar). The nutritional content is not stellar, but reasonably good and much better than candy alternatives.

Highly recommend, especially if you can get them on a price dip." +75,1351123200,B0083T6HC0,A3SDC426NPSMQE,1,NOT HAPPY!!,"If I can learn anything from this I have learned~You get what you pay for!! Please, whatever you do, don't get this particular package, because you will be horribly disappointed, unless you want the K-cups no one else would want or drink!! Yes, they are all different, but out of the 35 there I will only be drinking maybe 10 of them, the rest I will try to give away although I doubt anyone will want them!! Alot are decaf, which I don't drink, or they are tea or hot chocolate. I was hoping for actual flavored coffee, now I know to only order my K-cups from Keurig or I will buy them at the store!! I am sadly disappointed in this assortment of K-cups, and the person that packed my bag really did a HORRIBLE job!! Oh, and 4 of them are either empty, or the coffee in them is hard and stale!!" +76,1351123200,B000DZH1D6,A3GV7P0JK4I586,5,Best Ever Cookie,I bought two cases of the Pecan Shortbread cookies since I can't find them in the grocery store anymore. The other flavors are not so good. These are a great value when you combine with free shipping. They have a very good taste and you wouldn't even guess that they are a gluten free cookie. My shipment arrived unbroken but I have bought in the store and they were crumbs. I love this product. +77,1351123200,B004EDHD1I,APPNN3ALT0ME2,5,Great alternative to daily Starbucks trips,"My wife and I are big fans of hot morning drinks (with caffeine), especially in the winter. We realized this to be a great way for us to get our morning fix more affordably from home. It's been about a year now and somehow this ""flavor"" tea hasn't gotten old yet!" +78,1351123200,B0047462NO,A1JWY18IISLJZA,5,Perfect Bloody Mary Supplies,"It's the best bloody mary mix. And this is the perfect size. Enough for 1 or 2 drinks--you'll never throw any away. Maybe not the best size if you're mixing up a pitcher, but if you're just making a couple to half a dozen or so, this is great. Shipped well and lives nicely in the garage until called into action." +79,1351123200,B004754DO8,AT4GQGKQ8Z18Z,5,WAGGIN TRAIN CHIK'N BISCUITS,"MY DOGS LOVE THEM, HOWEVER TENDENCY IS TO GIVE TOO MANY, AS THEY BEG FOR THEM. THEY RECOMMEND 2 PER DAY AND I FIND THAT HARD TO STICK TO." +80,1351123200,B003NDDZR6,ASEUIZKTJIFQX,5,Found what I been looking for,I have found what I was looking for in a popcorn seasoning. I have been looking for at least three years. I plan to order more soon. +81,1351123200,B0029XLH4Y,A2CSPTFY7QPT78,5,Great bold taste-- compare to Emeril's Bold,"I've been drinking Emeril's Bold for a year and a half, and wanted to try something different. A review led me to this brand, and I love it too! I'm a strong coffee gal-- I like Starbuck's-- so this is right up my alley." +82,1351123200,B0029XLH4Y,A3NIBMLKUK73JC,5,Great flavor no bite,This coffee is a favorite of mine and many others. Jet Fuel is dark roasted but smooth and rich with no bite! +83,1351123200,B008HF0KS2,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +84,1351123200,B008ADQOL8,A1YYFX661KECLP,5,Incredible matcha!,This matcha is incredible - I got hooked on plain matcha - so having someone kick it up a notch and add this incredible flavour is amazing. I'm a big Boston Cream donut fan and this has the same taste too it. Highly recommend it! +85,1351123200,B00283A8TA,A3UC586EDL2M96,5,back to nature oatmeal cookies,Back to nature cookies are great cookies to buy ...they taste great and are more healthier for you ...cant beat that ..they are awesome ..we love all of the varieties ...these are all the cookies i buy ..all the kids that come to my house they will eat the entire box in one sitting ..and i love the fact they are getting better ingredients without all the bad stuff +86,1351123200,B0083T6HC0,A20BV8REQQXB8R,5,VERY HAPPY!!!,"I ordered on the 23rd and it was deliverd 2 days later. It was in a brown paper bag, but placed in a box. I had 35 exactly and only 1 repeat. People complained of too much decaf or half-caff which I would like but only had 3 of those. Only two hot cocoa and two spiced cider. I loved the variety and looking forward to a whole new variety next time I order; and I will order again." +87,1351123200,B003CIBPN8,A2CUGPQKBWYTQH,5,Great taste!,The best coconut water...it is much better in the bottle than the paper box. I would recommend it. It even tastes great at room temperature. +88,1351123200,B000E3ZFDU,A1PQDL14230X6U,5,Delicious!,"I enjoy this white beans seasoning, it gives a rich flavor to the beans I just love it, my mother in law didn't know about this Zatarain's brand and now she is traying different seasoning and she likes it very much.
Thank you Amazon for having it because now I can't find it in stores, I like to have this 12 boxes because I can made it whenever my family want it." +89,1351123200,B0034EDMCW,A1XV4W7JWX341C,5,"Ordered these bars for my daughter in college who's on the go...will re-order for both of us, they are soooo yummy & HEALTHY!",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the cranberry too.. +90,1351123200,B005DGIAMQ,A1PZONL4WESG1W,4,My Pit Loves It,This Nylabone chew-toy stick is great for my pit. She loves to chew things but gets tired of the regular shaped bones. This Nylabone stick is perfect. It's durable and my pit likes the hollow stick-shape for some reason. I think the bacon scent also attracts her. I definitely would recommend this toy for anybody that has a big dog that loves to chew! +91,1351123200,B005DGIAMQ,AW7RYHDFTRUXM,4,Nylabone DuraChes,"Not as hard as the white Nylabone chews but my chewer likes it better. It clearly will last a long time. The cavity for placing food products is not useful as cleaning it is problematic and as it becomes chewed, is difficult to insert stuff. Overall it is a good chew stick." +92,1351123200,B0065AOUKK,A3KK7HD497XU5Z,5,will do it again,Service was great. Hot White Chocolate is awesome. I will be ordering again soon!! Even the family is hooked and wants some more to. +93,1351123200,B000YSTGGW,AQH6FCS9F0Z9R,1,Makes babies constipated!,"Wrongful advertisement! I usually don't write any reviews but I had to give this one a star. Ever since I gave my 6 month old this organic oatmeal cereal (which she seemed to like with my breast milk) she has been constipated. Day no 4 and I am still waiting for her ""full diaper""! I can see how much she is suffering trying to poop, I tried prunes and this product is still sitting in her little tummy. Waste of money! Disappointed in whole foods that they would sell such a bad product!" +94,1351123200,B000KV7ZGQ,A281J4UAH70YBA,5,Fantastic for energetic big pups,"My 70 lb Shepard/boxer mix absolutely loves her tug-a-jug. It takes her about 20-30 mintues to finish a cup's worth of kibbles. She's had it for about 5 months, and has yet to get tired of it. Also it's really held up well." +95,1351123200,B0041KMB2U,A1DDY9Q3462A3O,5,Dat'l Do It spicy Pepper Sauce,"This sauce is hot, tasty and spicy! Much hotter than other Datil pepper sauces, and full of smokey flavor, like a bar-b-que sauce with a kick! I love it!" +96,1351123200,B000GZS9U2,A2H8FXK339OE5N,5,musical fruit,"Perfect pantry basic on the non meat protein shelf. Long shelf life, mixes well in many soups and stews and free of many contaminents. It is good for you and versatile." +97,1351123200,B004P3GGTW,A1Y4LW3U3U73EP,5,"Great coffee, free shipping, great price","We love this coffee. We are not coffee connoisseurs but do enjoy a good cup of Joe. It works wonderfully in our french press and makes a nice, fresh, coffee shop grade cup." +98,1351123200,B002UV8F36,A1G06YCQOTEOU2,5,Woody and Arlo's favorites!,"My two dogs LOVE these! I cut each strip into bite-sized six pieces. I like the fact that they are quite a healthy treat and low fat.
Healthy Partner Pet Snacks All Natural Beef Strips, 6-Ounce Bags (Pack of 4)" +99,1351123200,B000TV8RIW,A32IRVDU6EYX3D,2,Contains aspartame!,"I ordered this gum based on the premise that it contained xylitol rather than aspartame or other undesirable chemicals sweeteners. It does, in fact, contain xylitol...but all the other terrible stuff as well, including aspartame. I think that the item listing is misleading, or they have changed the formulation of this gum. I'm disappointed that I could have purchased chemical gum at any local store. Seller should make sure that the listing accurately describes the ingredients. It has a good taste, and I will use it rather than spend the money to send it back, but it's not what I was looking for. I will stick with SPRY gum from now on.

The seller did ship very quickly." +100,1351123200,B004H6MV28,ANM000BVVUSCT,5,"Exactly what I was looking for: Fast, fantastic Chai!","I was skeptical as to how good an all-in-one Chai Tea for Keurig could be, but my doubts were erased at my first sip! The spice blend is great, as is the sweetening and the dairy component. This is the kind of thing I was hoping I could get from my single-serve coffeemaker!

Order some, you will thank yourself every time you brew a cup." +101,1351123200,B004OFAX5Y,A2UHAFWITF9JYP,5,Scriptures are incredible! Makes a SUPER tasty gift,"Thank you Shepherds Garden for a great product! The scriptures are well chosen, thoughtful. It really makes a perfect gift and accompaniment to quiet time (or any time!) As for flavor, compared to celestial seasoning's (non-organic) country peach passion, Shepherds is has soft peach tones and a more earthy flavor. Unless you're not a peach person or avid tea lover you should love it. It's organic too, which is VERY important for tea, and being a white tea it also contains less fluoride if that's a consideration for you. I got 5 boxes directly from their site for my mom, grandmom, sister, and friends this Christmas (great to pair w/ homemade breads or coffeecake!). If you don't think you'll dig peach they have a chai that's truly superior to any chai I've tasted, cranberry is good & unique, and peppermint just rocks (free samples at their website too...). No, they're not flavored with crazy artificial chemicals, sweeteners, non-organic leaves, and colorants. But I LIKE THAT! And for goodness sake they're Bible verse teas! How cool is that?!" +102,1351123200,B003D4MYLS,AWZZUM4YPP3H9,5,I couldn't love the double bergamot more,I'm absolutely addicted to this tea. it's the best tea I've ever had. when Starbucks changed their black iced tea I had to find a replacement. this stuff is better than anything ever. I'm very passionate about tea. I've never had it hot but I'm sure it's delicious that way as well. +103,1351123200,B000O5DI1E,A2I4IQ00OTDIN8,5,Great product,"Pill pockets make it so easy to give our elderly dog his several medications each day. It used to be such a hassle; now as soon as the dog sees me at the medicine cabinet, he runs over to me, hoping it's time to get his medicine." +104,1351123200,B005HGIVTY,A3J1A0BZ0K5Y7B,1,naked coconut water,I have tried many different coconut water brands and flavors. This one does not have great flavor compared to other brands. I would not recommend this product...very bland. I should have listened to past reviews. +105,1351123200,B0032CJPOK,A1KG2FZQW58S2F,4,"It's not Mother's milk, but it's great formula!","After going back to work full-time, I really struggled with keeping up with nursing my baby full-time. I just could not meet the quota that baby wanted to consume through pumping, no matter how often I pumped, what supplements I took, what diet I had, etc. I started using the Enfamil samples they sent me in the mail before I had my baby. First of all, I was kinda disgusted with how yucky it smelled. Baby didn't seem to like it either and spit up most of it after drinking it. We went to try their formula for babies who are gassy and as I was waiting for it to warm up I read the ingredient label and was shocked to see that the very first ingredient was corn syrup solids. Really??? In infant formula? I know it needs to contain sugar but come on!
So that started me on a research binge and I found that all formulas have to have some sort of sugar in them, but the kind of sugar is what matters. Moms make lactose and glucose (although in smaller amounts than lactose) and there is also fructose and sucrose. Fructose is what they make from corn (AKA HFCS), and sucrose is what they use in artificial sweeteners. I voted primarily for lactose and glucose, but found that a lot of formulas focused on fructose and sucrose, and if they had glucose it was from brown rice (this was during the scare that rice had arsenic in it).
FINALLY I found Earth's Best. I was impressed that not only did it have lactose and glucose but glucose was the 4TH ingredient instead of the first or second. This was the most important point to me in purchasing, but even more important -was baby going to like it? When I mixed it the first time it didn't have a sour odor to it, and it smelled like milk (granted, as all formula, it smells after it sits for a while). It even looked like milk (hooray) AND baby gobbled it right up. ALL OF IT. She loves the stuff! Best part is there are no problems with transitioning from breast to bottle, so now she is supplemented with the formula after her fill of breast-milk when I'm home. She even gets excited to drink it!
I think there's something everyone needs to keep in mind. We don't live in a `clean' society any more. Everything has toxins and chemicals, you have to choose the lesser of two evils. Everything is bad in excess: sunshine can give you cancer, tap water can give you cavities and diseases and raw fruits and veggies can give you pesticides. Even air is bad for you, depending on where you live. So I say, do the best with what you have and don't let yourself get too carried away with all the hype about harmful stuff. In the end, I feel I made the right choice for my baby and chose the next best thing to breast-milk that I could find that was relatively affordable and easy to obtain." +106,1351123200,B0034EDMCW,A1Z42SO1EE4L02,5,Great Taste,I love the KIND bars. They taste great and are much healthier than other bars. Also they satisfy your taste for something sweet so are healthier than eating candy. +107,1351123200,B003VXFK44,A21VWSCGW7UUAR,4,"Good, but not Wolfgang Puck good","Honestly, I have to admit that I expected a little better. That's not to say that this is bad coffee - in fact it's quite bold without being too acidic, and pretty satisfying overall. I think my main problem is that Wolfgang Puck's name is attached to it, so perhaps it set my expectations a little high. I have a Wolfgang Puck knife set that I adore, and is very high quality for what I paid for it. This coffee was on sale, so it was well worth it also, I just hoped for something that would knock my socks off - which it didn't. I also purchased the Breakfast blend, and Jamaica me crazy at the same time. The breakfast blend was the best, in my opinion, and the jamaican coffee smelled the best, but was the least successful." +108,1351123200,B006N3I0DM,AMUD7YJD0Y8D3,5,My new favourite for a nice bold morning brew,"When using a drip coffee maker, I often slipped in an extra spoonful of grounds to make my morning coffee extra strong so that the milk would not dilute it too much. After recently having bought a Keurig, I was a bit disappointed at the somewhat watered-down light-bodied taste of most of the K-Cups which came as a sample with it.

So my first inclination was to browse the Amazon reviews of several varieties of K-Cup coffee and take advantage of what others who like a nice strong bold cup of coffee had learnt by trial and error - and that was a good move! I took you all at your word, ordered a 50-pack of this coffee on Monday, had my first cup of it this morning, and decided it was worth submitting my first ever review of any Amazon product ever, both to give it a 5-star rating myself and to thank those of you who take the time & trouble to give honest reviews for the benefit of people like me.

So for the record, on a price and quality scale this is my new favourite K-Cup coffee. Until now, my favourite on a pure quality scale was Starbucks Caffè Verona, Dark Roast, 27-Count K-Cups for Keurig Brewers (excellent but very pricey!) and for a bold-yet-affordable cup was Green Mountain Coffee Double Black Diamond, K-Cup Portion Pack for Keurig Brewers 24-Count (also excellent, and less pricey, but IMO not quite as nice in flavour as Emeril's ""Big Easy Bold"").

For anyone looking for a nice strong full-bodied and flavourful K-Cup coffee which won't break the bank, do try this one. If you're like me you won't be disappointed." +109,1351123200,B007JFXWRC,APVK8GGSSUDCE,5,A great caffeine-free tea!,"I like everything about Lipton's Blackberry Vanilla Herbal Tea! First of all, the box is very practical as it ""snaps"" closed to keep the tea bags fresh, which is always a good thing! The picture on the box is appealing and shows what the flavor is to a ""tea"" (pun intended). The pyramid tea bags are great for diffusion. And the flavor is wonderful! You don't need to add sugar or sweetener but it tastes good either way. Even a bit of honey can change the flavor but it's all good.

I give this product 5 stars!" +110,1351123200,B007JFXWRC,A3U1S5KR287T3I,5,Yummy!,"I love this tea. When I made it, it was a purplish color, and kind of strong. If you wanted it weaker you might want to not let it steep as long as I did. You can definitely make out both the blackberry and vanilla, and they blend very nicely. There is a slight aftertaste, but it isn't unpleasant. I made it hot, but didn't finish it and the air conditioning was on, so it got cold. It was quite cold when I tried it for the second time, and it tasted great! This is the type of tea I like drinking in the afternoon; I won't be switching my morning Lady Grey tea for this.

I love the tea bag design. With the pyramid tea bag I can see what the tea is, rather than look through an opaque square tea bag. The tea tasted very fresh, too." +111,1351123200,B006N3I0DM,A2BAYRWJ9I0LLB,5,Emerils Big Easy,"Best coffee available, I drink it on the middle setting of the five our maker has and one cups is enough." +112,1351123200,B007JFXWRC,A17C7XZHFOS12W,2,not really my cup of tea,"I love tea! I was hoping that this would be as tasty as it sounds-- blackberries! vanilla! caffeine free! But... eh. Sorry for the bad pun that I used for my title, but really-- it's not for me. It smelled great in the box, so I guess that's another reason why I was so disappointed in its flavor. I had it with honey, and it still wasn't very tasty. The reason why I gave it two stars is that it does taste slightly better as an iced tea, but still, not something I'd routinely drink.

As for the tea bags, they're really nice-- I love the shape and how sturdy they are. I might have to try another one of Lipton Pyramid Teas." +113,1351123200,B007JFXWRC,A26TYDQ2BFD4EG,4,"I do not love it, but I like it.","Blackberry tea...vanilla tea...you like it or you don't. I like it because it's decaffeinated and easy on the throat. To me, the pyramids do not pose any steeping advantage but I do like how they don't come individually wrapped. I shudder to think of where all those envelopes went as I discarded them over the years.

So if you're serious about your tea, by all means, go ahead. I do not love it, but I like it." +114,1351123200,B006W6YHV4,A27DIIBWR2ASZY,5,Crack for dogs.,These thing are like crack for dogs. I am not sure of the make-up but the doggies sure love them. +115,1351123200,B0076YVPKC,A1DRM3JV6T5O6P,4,Fine for a microwave dinner,The Barilla Mezze Penne with spicy marinara sauce is easy to prepare and tastes better than similar products. The sauce is not as spicy as I expected it to be but does have a flavorful tomato-y taste. The sauce is separate from the pasta and must be combined after cooking. +116,1351123200,B007JFXWRC,A8KWNRQPZLAXC,4,"Nice flavor, pleasant tea","These triangle tea bags are small, so I thought they might make a weak herb tea. But it's quite pleasant in flavor, not weak, not overpowering. My taste buds first picked up the blackberry, with a candy-like flavor, followed by the vanilla. Best flavor is experienced when the tea is allowed to cool 5 minutes before consumption. I do not find a sweetener necessary in this tea." +117,1351123200,B007JFXWRC,A2QEZU2SHYBHM5,5,My wife liked it,I ordered this for my wife and she really liked it. The tea brews quickly with the more open bag that allows water to flow around it better. Excellent product with a full rich tea flavor as the end result. +118,1351123200,B007JFXWRC,A33LH3ROCD8AY4,4,Highly recommended.,Often times I find herbal teas either too weak or too overpowering. This tea is a perfect blend.... Not too sweet or too tarte. +119,1351123200,B007R900WA,A14EIPV17IO55P,5,Excellent buy.,Ideal addition to Keurig coffee maker. This is our second one and this one was $10.00 cheaper. Will recommend to all our friends. +120,1351123200,B00015UC4S,A3J5U6VT5Z7IDU,2,not worth the money,"I works fine but unless you are a commercial producer the price is ridiculously high. It's at least 10 times more expensive than corn starch, which has been successfully used for likelt hundreds of years w/o a problem. I wouldn't buy it again" +121,1351123200,B001EO7FZO,A13GZCHAMKWYBT,4,Would be better packed in oil..,"These are good. They are truly roasted and have that roasted flavor. I would have given more stars if they weren't packed in water. I was surprised at that. I ended up draining the peppers thoroughly and putting in ziplock quart bags in the fridge. Of course, only used one can because these are the big cans. I use a bag at a time, saute in olive oil just to heat through with the herbs and spices that I intend for the meal. Excellent w/ Italian and other sausages and also had a cold pepper + olive oil salad. I used one entire can within a week and a half for several good meals and it certainly saved time during this hot summer not having to roast and clean my own!" +122,1351123200,B0007OF0F4,A37M5ZMHCCSTN6,5,excellent steak and meat seasoning,"The Lynchburg seasoning adds great flavor to all meats and is great for grilling. The various seasoning ingredients give a zest to chicken, pork and beef which enhances the flavor of the meat. This is a must have item !!" +123,1351123200,B000I5DJRI,A4QYIPL4Z43U2,5,Licorice for the Gluten Free,It is a very good tasting alternative to other licorice. Being Gluten Free and still getting to have a few good tasting snacks helps to stay on track. +124,1351123200,B000SATIFA,A2CXROF75RTCXB,2,Flavorless green tea,"The vacuum pack bag is great. The tea is blah. There is a hint of tea flavor. There are many whole leaves, but also quite a few small bits of leaf. I didn't find any stems in my first cup of the tea (brewed directly in the cup without a filter)." +125,1351123200,B006GA666U,A2BAYRWJ9I0LLB,5,Emerils Big Easy,"Best coffee available, I drink it on the middle setting of the five our maker has and one cups is enough." +126,1351123200,B006GA666U,AMUD7YJD0Y8D3,5,My new favourite for a nice bold morning brew,"When using a drip coffee maker, I often slipped in an extra spoonful of grounds to make my morning coffee extra strong so that the milk would not dilute it too much. After recently having bought a Keurig, I was a bit disappointed at the somewhat watered-down light-bodied taste of most of the K-Cups which came as a sample with it.

So my first inclination was to browse the Amazon reviews of several varieties of K-Cup coffee and take advantage of what others who like a nice strong bold cup of coffee had learnt by trial and error - and that was a good move! I took you all at your word, ordered a 50-pack of this coffee on Monday, had my first cup of it this morning, and decided it was worth submitting my first ever review of any Amazon product ever, both to give it a 5-star rating myself and to thank those of you who take the time & trouble to give honest reviews for the benefit of people like me.

So for the record, on a price and quality scale this is my new favourite K-Cup coffee. Until now, my favourite on a pure quality scale was Starbucks Caffè Verona, Dark Roast, 27-Count K-Cups for Keurig Brewers (excellent but very pricey!) and for a bold-yet-affordable cup was Green Mountain Coffee Double Black Diamond, K-Cup Portion Pack for Keurig Brewers 24-Count (also excellent, and less pricey, but IMO not quite as nice in flavour as Emeril's ""Big Easy Bold"").

For anyone looking for a nice strong full-bodied and flavourful K-Cup coffee which won't break the bank, do try this one. If you're like me you won't be disappointed." +127,1351123200,B0051ZCN9A,A3GLNZMOBLB710,5,Great for small breeds with sensitive systems,I have two small mixed breed dogs each under 10 pounds. This is to only food I have found that they can eat with out any problems. +128,1351123200,B000KY6NQG,A2EV9OYPMK4R9M,5,Crunchie,"Nowhere near as good as Violet Crumble from Aust. but a good subsitute as it's off the market. The chocolate is good, the honeycomb, a little sweet." +129,1351123200,B000GW257S,A353PLOL85WBCV,5,Splenda French Vanilla,"Our local Wal-Mart used to carry this product, it has just a touch of flavor to your coffee without all of the calories. Would recommend this and have to a few friends." +130,1351123200,B00412K49A,AT997T4MTH9B7,5,Love this stuff,This Green Mountain dark magic coffee is just what I was looking for. Strong enough taste to enjoy and it gets me going almost immediately. Haven't noticed any after taste and buying the 120 count it pans out to like $.61 a cup. Try it you'll like it. +131,1351123200,B001P7539A,A1582ZSGIITFP6,4,Right balance of butter and salt,"Pop Secret is one of my favorites and the Movie Theater Butter has the perfect blend of butter and salt for my tastes. The packages I received do not expire for 6 months. Pack of 6 is 18 bags, but in my house they should all be gone long before expiration." +132,1351123200,B0012KB3ZI,AIFGUCOUOOFJ3,5,Great for my older cat,"My older cat just stopped eating the dry kibble food a few months ago. She used to get Fancy Feast as a treat only, but now it is all she will eat. A lot of canned cat food smells repulsive! Fancy Feast actually looks & smells decent. The cat knows which cabinet I keep her food in & she sprints to the kitchen when she hears it open." +133,1351123200,B002YHU9LC,A1TWM78I835NGZ,5,"Mmmmmmm, popcorn!",Great popcorn! I'm a repeat buyer too. One pack makes just a teeny bit more than my Whirly Pop can hold with the lid closed. The kernels pop big and have a great flavor. The hulls are farely tame for big kernels. My only suggestion for Wabash Valley Farms would be to boost the butter flavor just a smidge. Maybe I'm old fashioned but popcorn popped on the stove top is so much better than microwaved. +134,1351123200,B002GWH92W,A343264GQDQ8Z0,5,It don't get any better for the price,"I am about half way through my first bag and looking to try a different bean. It still has the yummy oil on the beans that you only see when it is fresh or you roast your own. I like my coffee strong so I give my grinder several more grinds almost to espresso, but if you pre-wet a paper filter it works out great in a drip pot. It also causes a build up in the grinder which a tablespoon of rice fixes that. My difficulty is my own making. It has nothing to do with a superior product. I plan on staying with this company as long as Amazon handles it and am looking forward to trying all their beans to find my favorite. This is a very dark bean without almost no bitterness. You can serve this to the most discriminating guest with pride." +135,1351123200,B00954NYVY,A2S29X1UALPLSO,5,"Green Mountain kcup Black Magic, Black Diamond Extra Bold, Nantucket Blend","I have tried many of the available coffee's available but, I enjoy a robust coffee in the morning and both Black Magic and Black Diamond Extra Bold meet and exceed what I was expecting. The Nantucket Blend is a great coffee for anytime of day or night. I usually wait until Amazon has a sale on these to make my purchase...Make sure when you buy k cups that the Amazon Prime logo appears...Without the Amazon Prime Logo, I have found what I received in the past did not reflect what I had ordered.. Substitution get made without your knowledge and sometimes count is short, etc..." +136,1351123200,B0002I0GUY,A1AFOYZ9HSM2CZ,5,Happy with the product,My dog was suffering with itchy skin. He had been eating Natural Choice brand (cheaper) since he was a puppy. I was nervous to change foods. The vet suggested to change foods sand see if the skin issues cleared up. Wellness brand did the job. My dog seems to love the food and the skin issues cleared up within a few weeks. +137,1351123200,B000FPJ78G,A3F14GVSJMJ0WH,2,dingos,The red part of the dingos was missing from 3 of the balls in one bag and two of them in the other. The others have not been opened yet and I found this very upsetting since this is the part the the puppies go for first. I don't mind paying that price if it is as shown. The bag show no white only balls.
Theresa Miller +138,1351123200,B0087ACS5A,AJZKIQO848M2P,5,Half and half Iced Tea,Have used this product for a long time and still enjoy its taste very much. Really refreshing and sometimes I add just a slice of lemon. +139,1351123200,B002TOEMWW,A23NBI33FUN8F9,1,My Chihuahuas HATE This Product,"My two Chihuahuas loved ""Cadet Gourmet Pet Treats Duck Breast Fillets"", the 32-Ounce package I had been buying at Costco. However, I discovered it was made in China and feared this product could make them sick or cause death. So I started searching for a company in the USA that made dog jerky treats. I found Plato Natural Duck Strips and ordered a bag. This product does not look like or smell like duck jerky strips. My Chihuahuas sniffed it and just walked away. It doesn't even smell like duck. Rather, it smells somewhat fishy. A waste of my money!" +140,1351123200,B003C15EUK,A32QQ3P51L0LO4,5,Always great!,"Got these for my sister who has Celiac disease and needs gluten-free. These are one of the few candy bars she can have and
she LOVES them. So glad they come in the Pops, Jr. size. Just right!" +141,1351123200,B003Z6ZGZK,ALUMNTP7GDBS8,5,Don't underestimate this little packet,"Easy to travel with. I've used in Europe, I've used in American Wilderness. Light in wieght, strong in kick and flavor." +142,1351123200,B004Q89VXY,A14RUZEAZ9T15Q,5,The not boring black tea,"I find that most black teas are boring. Not this one. It has a fresh flavor that I love. I only drink iced black tea and I never use sugar or cream. You may love it, too." +143,1351123200,B005HVDZRM,A1QU5WEF3LS9YD,5,Twinings---a good cup of tea,I have been drinking Twining's tea for years. It used to be made in England but now they have a plant in North Carolina for the American trade. The tea is excellent. I drink the decaf for health reasons and find that it is as tasty as the regular tea. +144,1351123200,B002VL66C2,A1NTG1A0WLKEOG,5,Bennicks perfect mints,"These are simply the best mints made. I buy them when I'm in Scotland, and often have my daughter send them to me from Edinburgh. I am so pleased to be able to purchase them through Amazon. Please continue to have tem available." +145,1351123200,B003VCCYGW,A15NY8LOWZIUSZ,1,Small fortune spent for dead tree,"I purchased this plant after spending a small fortune hoping it would be all I hoped and read about in the description. Within the first week of purchase the plant shed all it's leaves and seems to be dead or dormant. It arrived with full beautiful leaves and a few flowers, I had high hopes. I followed the instructions to the tee and within no time it lost everything. I took it to a friend who is a professional with bonsai plants and he thinks it was sent as a dying tree meaning it comes looking great but it is really dying. I'm so angry that I spent so much and have had nothing but problems. I do have a green thumb and can usually resurrect anything but this may be a lost cause. I've tried to prune back the dead and fertilize and hope it will pull through but have a feeling I wasted $50.00. Don't waste your time hopes or money on this item. Buy local so you have support and hopefully a guarantee." +146,1351123200,B0049D7ICM,A5ZHJ9O3T5DS1,3,easy to use,Love the fragrance of this product. These bath salts smell wonderful and easy to use. A great gift idea would be to repackage this in individual containers for friends as a spa gift. Great price too. +147,1351123200,B006W6YHHI,A27DIIBWR2ASZY,5,Crack for dogs.,These thing are like crack for dogs. I am not sure of the make-up but the doggies sure love them. +148,1351123200,B003YHCN74,A16ZZXKX3U1WTQ,2,not alot of taste,"Put a cup in my rice cooker. Couldn't taste much spice -- was fairly bland. Container is small. I attached pictures. To note, Saffron is the last ingredient in the ingredients list so there's really hardly any." +149,1351123200,B0039OINN0,A1DFNY4MZG7NYO,3,buttons,They were ok but I was not impressed by them. The cost is too high and is not worth it for this product. +150,1351123200,B005HGAV0Q,A3557OEC4JU5RS,5,Great select ion.,These were great . I loved the varity. This is the second time I have ordered these. I will order them again. +151,1351123200,B000EUIZ8K,AOHXBDUSQ62SL,1,This is not the exact one like at Starbucks,"First, this is a good tea, but it is not the exact one like at Starbucks. The one at Starbucks is different kind of teabag that has a silk like bag. It's leaves are different too. They are more fuller and these are more ground. Now I realize why the tin box (Tazo Zen Green Tea) at Starbucks could be twice as expensive as this (the tin box has 15 bags for $8.00 at Starbucks). If you want the rich experience of the Zen Green Tea, buy the tin box from Starbucks. And of course, 'You get what you Pay'!" +152,1351123200,B008O2EHNC,A1ERISG9MS2M0L,1,weak coffee if used in Hamilton single brewer,"This product can not be returned, so when the coffee turned out weak this was a real waste. I used this in the Hamilton Beach single cup brewer." +153,1351123200,B0007A0AQW,A15X1BO4CLBN3C,5,cant get enough of it!!!,"Our lil shih tzu puppy cannot get enough of it. Everytime she sees the bag, she starts jumping up and down!!! Our older shih tzu doesnt like it at all but its perfect for puppies! Will definitely reorder!" +154,1351123200,B0067EO65S,A21BYYTI547OWE,4,not enough,"i love the cereal, but there is too much time elapsed between shipments. since i have a bowl every morning, i run out quickly. i wouldn't mind shipments coming twice as fast." +155,1351123200,B004H4R59Y,A2YDZGGEQPLHYY,4,yummy low fat snacks,Pretty yummy for a low fat snack...crunchy and tasty with a little zing from the roasted peppers. You can also get them plain with sea salt which are also quite satisfying. Great substitute for chips and such which are just empty calories and impossible to eat only a few. I am pretty sure the lentil chips have some nutritional value as well..... and they don't taste like you are eating styrofoam like some of the rice cakes out there. +156,1351123200,B0028677GY,A597F444N325M,5,Doggie loved these,"We are very careful to feed out pooch good treats. We look for American made. We also want to find the right ingredients on the label. These treats had that. More importantly, my dog loved them. I guess she thought she was getting 'junk food'. But she was not. She was getting the good stuff. I compared the price to other treats we buy and found these very reasonable." +157,1351123200,B000O5DI3W,AL3P8NCMOOEIH,5,Pill Pockets,Our dog loves them and she is kind of a picky eater. Makes giving her medicine for her arthritis very easy. +158,1351123200,B002XHW2PY,A3WH0FZKD9K94,5,Good for holiday candy,"Excellent product. Has a high enough cocoa butter amount so it can be used in candy making for holiday gifts. If you don't mind tempering, this is a good product to use." +159,1351123200,B000FBQ50I,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +160,1351123200,B001H17CJS,A7UQE24D5SB3R,5,Paws up!,We try different treats for our dogs and they seem to like the Holistic Select biscuits very much. This has good quality ingredients just like their kibbles which our dogs like as well. +161,1351123200,B000VK08OC,A20W0ALUJMJ2F8,3,Unusual taste,"Just got this honey today and tasted it. It has a slightly medicinal taste I don't care for. On doing a little research, I found that the bees feed on flowers of the tree that's also called teatree, and if you have ever smelled teetree oil that's what the honey tastes like..almost a menthol taste. But since it is supposed to have such benefits health-wise, and since it was so expensive, I guess I'll go ahead and try using it..maybe to sweeten drinks or something..but for breakfast toast I'll stick to our good local honey." +162,1351123200,B000LQORDE,AAUVIV5KLSC8A,5,grocery,I like this grocery.

It is too spicy and famous noodle in Korea.

I'm not Korean but I can eat it.

Customer service is so good because it is so speedy +163,1351123200,B000LQORDE,A12FMRU69K335E,5,Instant noodle with best taste and texture -- see Recall Info,"I just researched about the korean noodle recall because I love this Shin Ramyun noodle -- the best taste and texture instant noodle I have ever tasted. It is the Neoguri Seafood & Mild Noodles and Neoguri Seafood and Spicy Noodles that are problematic, not this Shin Ramyun type by the same company Nongshim, read this article:[...]
ADVICE: Because of high sodium in instant noodles, put only partial seasoning package and also try not to drink the soup!" +164,1351123200,B002OFH5G6,AVV2V46YR89K,5,My favorite,"These are one of my favorite snacks. I realize I may not be among the masses, but I find this is a great substitute for candy and the chocolate-nutty taste satisfy my sweet tooth without giving me the sugar high and subsequent crash I get from other bars. The nuggets are the perfect size and calorie limit for a snack or quick pick-me-up." +165,1351123200,B002E0S4UW,ALJYLCIGS3QYU,5,These are Delicious!,"Great taste, right price, fabulous snack! It is the only fruit I can get my little one to eat and I can't keep my high school son out of them either. They are great pick-me-ups on the way to my daughter's soccer practice or before my early morning run. And best of all, Amazon ships these right to my door every month. No more finding the right store who carries them. I just set up the automatic recurring shipment once and it works like a charm!" +166,1351123200,B00027UVL4,A8NAPMCV0PV8F,5,"Wow, what a smooth espresso !","My wife and I have always purchased Starbucks espresso, but our usual supplier ran out which gave me time to research other brands.
After doing some internet recon, we found that lavAzza is Italy's #1 chosen brand, so we figured it was worth 20.00 to try something new and we are glad we did, it was much smoother and all while producing more froth at the top of our mocha's.
We highly recommend this product, I know we will be purchasing it in the future, but only in the 150 pod size bringing down the cost-per-pod or (cpp) as we call it down from .50 per pod in the 40 count box to .30 per pod.

WOW smoother and creamier espresso at less cost than our OLD staple brand..." +167,1351123200,B003QU2LYY,AJZKIQO848M2P,5,Half and half Iced Tea,Have used this product for a long time and still enjoy its taste very much. Really refreshing and sometimes I add just a slice of lemon. +168,1351123200,B000FBM46W,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +169,1351123200,B004BIOE40,A1QNZ59Z8RY9VF,5,Amazing,"Tasted absolutely tremendous. Stuck it in a blender along with some carrots, avocado, soy milk, bananas, and lucky charms and froze the mixture on a popsicle. Would definitely recommend." +170,1351123200,B0045IPX14,A1IQUAUSHJPFUC,5,"Coffee great, seller not so great.","We drink Green Mountain coffee all the time, and it is one of the few suppliers that provide it in Half-Caf. I am a decafinated coffee drinker most of the time but my wife likes a little kick to start her morning and the Half-Caf does the trick, and Green Mountain's Half-Caf has a very good taste without the decalf after taste. We also buy other flavors provided by Green Mountain and they all have a great coffee taste." +171,1351123200,B005M4ERYE,A6QHA4PFD4500,5,Always a huge hit!,"Amazing hit when drizzled over the stock cheese dip recipe that comes with it. Could be the bacon (I use apple thick sliced) but such a huge hit. I had to buy a case but trust me, people will always want a bottle to take home after they have licked the plate!" +172,1351123200,B0081XIAOQ,A156021XP6CYX6,2,"Paw Flapper Fun, But Too Easy","I got my dog the Paw Flapper because he's a Basset Hound mix and loves to use his nose. He's also pretty smart, so keeping him occupied can be difficult. Unfortunately, this is a super simple puzzle. The first time he played with it, it took him about ten minutes to find all the treats. The next time, it took five minutes. There really isn't anything that challenging about it. Opening the flaps takes my dog a second, and all he has to do is keep pushing his nose into the holes to rotate the top and find all the treats. He had fun, but then it's a toy full of treats, so that's a given.

The puzzle does seem to be well made though, so it's not a bad product. It just isn't challenging enough. I'll be returning it and trying one of the other puzzles." +173,1351123200,B003SLXKMS,A3RI57SH1QFOW0,5,Awsome ears make for happy dogs! Excellent value in large packs.,I purchase these all the time. I have two large dogs and am always worried about them choking on rawhide or getting a blockage so I switched to these. Best decision I could have made. These are really big and my dogs beg for them. The larger packs are an excellent value and my dogs just love them. I could not be happier with them and neither could my dogs. +174,1351123200,B007TJGZ18,A2S29X1UALPLSO,5,"Green Mountain kcup Black Magic, Black Diamond Extra Bold, Nantucket Blend","I have tried many of the available coffee's available but, I enjoy a robust coffee in the morning and both Black Magic and Black Diamond Extra Bold meet and exceed what I was expecting. The Nantucket Blend is a great coffee for anytime of day or night. I usually wait until Amazon has a sale on these to make my purchase...Make sure when you buy k cups that the Amazon Prime logo appears...Without the Amazon Prime Logo, I have found what I received in the past did not reflect what I had ordered.. Substitution get made without your knowledge and sometimes count is short, etc..." +175,1351123200,B0028H06ZW,A1H31XV4OODPAK,5,"Dog likes, what's not to like?","My Westie was allergic when we first got her from OK Westie REscue. She has always been on some fish type food, and she continues to do well on this. No problems with it. It is really terrific to buy and have it shipped to the house." +176,1351123200,B002QYEZK4,A1QEDNEA4S6DZZ,4,It tasted like I remembered!,"Our local stores had stopped carrying the McCormick Swiss Steak mix, so I found it online and it was as good as I remembered!" +177,1351123200,B004ADXW8A,A2FUB3ANV9OJ17,1,These are not the oysters you want,"Crown Prince sells some good oysters, but these aren't it. These oysters are packed in industrial seed oil (cottonseed oil in this case), which is not only horrible health-wise, it also doesn't taste good. And they're from China, which has notoriously bad water pollution issues.

These are the good ones: Crown Prince Natural Smoked Oysters in Pure Olive Oil, 3-Ounce (Pack of 9). They're packed in olive oil and they're from South Korea. Unfortunately, Amazon is currently out of stock in them, but these are the ones you want." +178,1351123200,B004ZT86OO,AS9FS55P38TC2,3,Patience,"I am planning on buying these, people you need to have patience with spores. It can take up to a year to germinate. Do a Google search for germination from spores and you will have a few good outlines to follow." +179,1351123200,B0051IX1M0,A3TPPG1BXULZUR,5,i'm addicted,"I have a document of about 10 pages of health benefits of aloe juice. Add onto that the essential benefits of coconut juice. Flavor that with natural sweetning. I always know when my body is lacking something critical, because foods that contain these elements taste unbelievably good. I have been addicted to this juice, which is why I need to order from Amazon in bulk. Finally it is to the point of just tasting great, but I will continue to order as it is still my favorite beverage!" +180,1351123200,B000BP3Y84,A3ET2PU76CPR61,2,"um, it's LOADED WITH SUGAR, shoulda had a snickers heehee...","I could barely taste the flavor, it's so sweet.
I gave two stars instead of only one because it's really my fault (not the maker) I did not doing my usual thorough research!
A minimal google search would have uncovered the fact that sugar is ingredient #1 and corn syrup is #2 Yuk! I have to say, if something taste good, I could give a good gosh darn what the color is...they add red dye... oh why, or why must they add dye. Here's the ingredient list:
Sugar, Corn Syrup, Natural Anise Flavor, Color Added (Including Red 40)
Maybe I can crush em up, add flavor and something else to dilute sugar, they may be savable--oops! that's my hoarder tendency talking" +181,1351123200,B007FGJENG,A23CET5TDIXLFZ,5,Prefect fusion,I love dark chocolate and buy a lot of Dove dark. This is a fusion of dark chocolate and raspberry that is as addictive as the dark chocolate itself. +182,1351123200,B002UZSO2O,A35USNIX7XVUK0,5,Delicious!,"For anyone who says ""I don't like fruitcake"" or anyone who's never had fruitcake and wonders what all the fuss is about, try this. (As long as you're not allergic to tree nuts or any other ingredient.) It's chock-a-block with nuts and moist fruit. I will definitely be buying more." +183,1351123200,B005NDXJ2U,A2XURJBVAMC8SI,1,Great Ingrediants - old and dry,"We must have received a fruitcake made a year ago - this was so dry, you could not slice it- it just crumbled. You could tell the ingrediants were of high quality.

Last year we purchased a Jane Parker fruitcake and it was great, unfortunately, the large ones are no longer available through amazon.com. In addition, the tin ( which my wife wanted ) was damaged in 2-3 placed - fedex is rough on things" +184,1351123200,B000WFRUOC,A22RVTZEIVHZA,4,The cats like it,"My 7 cats like this food but it is a little yucky for the human. Pieces of mackerel swimming in a dark broth. It is billed as a ""complete"" food and contains carrots, peas and pasta. Why, I don't know, since these are not foods that a cat would eat in the wild. An OK alternative to go along with their dry food." +185,1351123200,B005MHRHRK,A1MFARTPOQ9XXJ,5,One of the healthiest of the Plum line,"These pouches are actually worth feeding to my one year old. Out of all of the plum organics pouches, this flavor is on of the four that is totally packed with vitamins actual nutrition due to the sweet potatoes. Most of the other products are very low on the actual nutrients scale. But my daughter loves these and I feel like they are actually worth the calories - she will only eat so much in a day and I want to make sure she gets the most nutritional punch per calorie possible! The other flavors are the purple carrot, green bean/spinach and greek yogurt/raspberry spinach." +186,1351123200,B0077HIJYS,A3HVA6BTVB1UYP,5,good for low carbers and diabetics,"compared to the usual white bread bun you might not choose this but if you are diabetic or a low carber it is a no brainer. these buns make it possible for us to have a real hamburger and not raise our blood sugar unduely. One thing though, it is better to refrigerate the buns and microwave a few seconds to warm it and not do the usual bbq or toast warming. I have found that microwaving makes reguar bread rubbery but not so the low carb buns (same for their hot dog buns) while the usual warming makes them dry. The ingredients are different and so the warming needed is different. Done this way they do not come out dry and cardboardy. and using more condiments helps also. So I give them a high rating even though the shipping makes them expensive and thus it is worth it for our health." +187,1351123200,B005QQ1MB4,A3BVT74XFWO6KD,5,Best Biscuit Flour you can get!,"I have use many ready made biscuit flours as well as many attempts to make my own, this is by far the best! Just wish I could get it at my local market!" +188,1351123200,B0051C1CQ8,ASLSYHR5D632W,4,Curiously delightful.,"I tried the plain type because I had never encountered a ""digestive"", the British comestible. This is an interesting variety that is positively habit-forming. Beware - you can consume a lot of calories without being aware of it." +189,1351123200,B002SIDKPE,A2XKTLI99QA90A,5,Very Good!,This decaf cappuccino tastes just like the caffeinated stuff. I live in a small town and was unable to find decaf cappuccino anywhere. This stuff is very good and I would highly recommend it. +190,1351123200,B006LEEWL2,A3FBXJ6D3EQSD5,5,only 5 lollipops remain,i took the lollipops to work and shared them w/the office about 3 weeks ago. only 5 are left. they are yummy and the perfect size sweet treat. +191,1351123200,B005HGAV8I,A2GPID97N39GPO,5,YUM!!!,If you like a little flavor to your coffee I would highly recommend this variety pack. I like a bit of a switch up and not the same standard coffee every day so that is why I ordered this pack. Coffee tastes great and got my order within two days. Once I run out..I'll be back to order again! +192,1351123200,B005HGAV8I,A3QI7PHBL9G2CK,5,Super Selection,"I was a little hesitant in ordering as there were several comments about the lack of selection, however, I was pleasantly surprised when I opened the box. There was definitely 25 different flavors and about 4 which there were 2 of. All in all a great way to sample different flavors without having to commit to an entire box of 16 which can be very costly especially if you end up not liking the flavor. I love being able to sample some that I might otherwise be hesitant to try." +193,1351123200,B002R8UANK,A09539661HB8JHRFVRDC,4,Fruitables Crunchy Dog Treats,"My lab goes wild for these and I am almost tempted to have a go at some myself, as they smell so great. So far I have resisted the temptation despite the fact that they are filled with healthy ingredients." +194,1351123200,B004NBDCD4,A2VLOJX99B7VLU,5,More Good Stuff,"Spitting seeds may not seem too etiquite but it sure is fun. All the available flavors are so intense it is hard to quit. It is however recommended to keep them to yourself and dispose of the spent ones properly, preferably in a disposable cup. Note too that there are some locations and occassions that it might not be acceptable to be spitting seeds. But in between those times give your mouth a treat." +195,1351123200,B00028HN5A,A3L1Z1IMR23PX5,4,Dangerous! Cat loved it!,"Nifty container (I love nifty things!), and my mustache kitty went ape when from the day I wrapped it, all the way until the unveiling come Christmas day.
The only reason I took one star off...the cat needs some ""down time"" before this becomes exciting again after a few days use.
About the fifth/sixth time I opened the container she would just sniff it, and look at me ""Like hey, it's your turn now bub.""
I believe that to be the inherent nature of Catnip however." +196,1351123200,B004NBDCD4,A1A8XCHIUN2688,3,Misleading label,"It's my fault for assuming that the ingredients would be sunflower seeds, sea salt and black pepper. This is not the case. It contains regular salt as well as sea salt, and a bunch of other ingredients. I do like the size of the seeds. They're nice and big. But there are also a lot of foreign debris like sticks and other matter. At least one in each bag. I will definitely NOT buy this product again." +197,1351123200,B002R8UANK,A3MHMWPZUAI565,2,Triggered strange vomit response to my dog,"I can't deny that these smell amazing- all the fruitables that I ordered smelled like human-counterpart treats...blueberries, yum.

I was excited to give my dog a ""real"" treat, and I have him one of this and one of another fruitables soft chew. A few hours later, we were shocked at the dog spitting up everything in this stomach- he threw up about 3 times, and then continued to spit up mucous and bile fluid. Gross, and really unfortunate :(

I contacted both fruitables and amazon, who both graciously accepted the open bags as returns, and fruitables checked the lot numbers of the bags I had. I guess my dog had a particular sensitivity to something in these, which stinks because I really wanted him to love these nice smelling treats.

Hopefully others have better luck with them!" +198,1351123200,B0076YVPLG,A1APK6FWZC13B,4,Perfect for a quick lunch!,"I was impressed with this meal, I couldn't imagine the quality Barilla is known for being seriously ready for consumption in sixty seconds. What I love most about it was the fact that it had real sauce that is comperable to what you would put on your homemade pasta. Most meals like this taste more like an upgraded cup of noodles, where this is a nice meal in a crunch. Now I will say you really need to read the instructions before cooking. The opening instructions can be assumed and cause the sauce to go flying when the food is done cooking. With that in mind, it's not ideal for kids to cook on their own. The film was rather tight and I can see a child or pre-teen getting burned if they are not paying attention while the open the contents. With that, please be careful. Outside of that, it was delicious for a microwave meal." +199,1351123200,B006N3IG4K,A21VWSCGW7UUAR,4,"Good, but not Wolfgang Puck good","Honestly, I have to admit that I expected a little better. That's not to say that this is bad coffee - in fact it's quite bold without being too acidic, and pretty satisfying overall. I think my main problem is that Wolfgang Puck's name is attached to it, so perhaps it set my expectations a little high. I have a Wolfgang Puck knife set that I adore, and is very high quality for what I paid for it. This coffee was on sale, so it was well worth it also, I just hoped for something that would knock my socks off - which it didn't. I also purchased the Breakfast blend, and Jamaica me crazy at the same time. The breakfast blend was the best, in my opinion, and the jamaican coffee smelled the best, but was the least successful." +200,1351123200,B007PA32KI,A2RSB6FVQ9K9OD,5,Bulk k-Cups,This is the best way to buy coffee for my office. Least expensive way to buy convenience with harder to find flavor and brand. I also buy this way for home. +201,1351123200,B001BOVE54,A33YYMSQPKBIB,5,Wonderful- She is a different cat!,"I ordered the Wellness Grain-Free Dry Cat food a few months ago. At first, I was less than thrilled, because for almost a month my cat's stools smelled more foul than I could stand. I was ready to finish the bag and then switch her back to her old food, despite the fact that her old food contained less healthy ingredients, but I am so happy I decided to wait it out because once her little system got used to the change (or maybe detoxed), she is a different cat!!!

I have had my cat for 9 years, and she has always been a bit grouchy. I chalked it up to her personality and never thought twice. However, since changing her food, her personality has greatly changed! She is so much happier and more content, much more loving. She is a much happier little feline!

So, I am now a happy customer. I would recommend this cat to anyone, it is so much healthier than most other cat foods out there. My cat loves the taste, and her behavior shows me she is feeling great too!" +202,1351123200,B007PA32KI,A9YEAAQVHFUTX,5,Blackcat,Great coffee! Love all Green Mountain coffee and all the wonderful flavors. Would and do recommend this coffee to all my friends. +203,1351123200,B0083I4SMM,A3EJDV2RTFROU4,4,Good Saffron,I have used this saffron in several recipes and found it to have a good flavor. The amount is small but a little goes a long way. +204,1351123200,B001ELJJZG,A24AIWQ5TEVQGU,5,This is a big container.,"October 25th, 2012

This is my 4th wine kit in 60 days and my second which I sourced from Amazon. As wine & beer making have several steps over time I will update this review as I proceed through all the steps. This is a very heavy container. Getting that bag empty will be the trickiest part of the wine kit I think. I was simply not strong enough to pick up the bag of 'must' from the bucket shipping container. What I did was to dump the contents of the shipping bucket into my plastic food grade fermentation vessel.

Because I couldn't lift the bag out of the primary I had to cut a hole in the bag as near to the bottom as possible and lift the bag out of the primary as the bag drained. This was still a tricky procedure as the 'must' initially just pooled on top of the 23 liter bag of must. I think next time I try one of these 55 lbs kits I am going to borrow my step-son who works unloading UPS trucks everyday and is strong as a horse to hold the bag of must clear of the 'primary' while I open the bag the proper way and let it drain into the primary.

I have at the time of this writing transferred the juice/must to my plastic primary fermentation vessel, added the bentonite, stirred, added the yeast, and stirred again. I don't take the specific gravity as I like my wines very dry and so I just let them ferment out completely. I do like that the kit includes corks (one less thing to purchase)." +205,1351123200,B008I1XPKA,A3BK8LC7IGAIIO,5,In love with Hazelnut~,"I won a pack of the Hazelnut K-cups from Brooklyn Bean Roasters. I was so excited to try it! I was very happy with it! The taste is very good, not too strong, but enough to taste wonderful. I would highly recommend the Hazelnut to any coffee lover. Brooklyn Bean Roasters is an amazing company as well and is really focused on their customers!" +206,1351123200,B005K4Q34S,A34VU0NSTNNTRQ,5,French Vanilla Cappuccino,Great price. Really love the the flavor. No need to add anything to this cappuccino to enhance the flavor. Really enjoyable anytime drink. This is a house hold favorite. +207,1351123200,B000EWMJ8U,A2JYHCN1498636,5,Beautiful,"I don't plan to grind these, have plenty other peppers for that. I got these to serve whole, especially for my brother who loves spicy Asian cuisine. And these actually came all the way from Thailand, which I thought makes them well worth the wait (took a couple of weeks with the shipping method I chose). These are gorgeous trimmings, and delicious, eye-watering goodness." +208,1351123200,B003AP2GKY,A9YEAAQVHFUTX,5,Blackcat,Great coffee! Love all Green Mountain coffee and all the wonderful flavors. Would and do recommend this coffee to all my friends. +209,1351123200,B003ZUKM64,A17UEI9FECJ336,5,Good substitute for home made stock,"I have tried several chicken soup seasoning bases, looking for one that would give me a rich chicken taste without overloading the recipe with salt. The Vogue product is the best of the ones I have tried. I do also keep a supply of the home made stock when I cook poultry, but I don't bother so much with that anymore because this product is such a good substitute. In addition to using it for the most obvious chicken-flavored dishes, I frequently add a teaspoon to various sauces and gravies -- just enough to add some depth to the mixture, but not enough to make it taste like chicken soup." +210,1351123200,B003AP2GKY,A2RSB6FVQ9K9OD,5,Bulk k-Cups,This is the best way to buy coffee for my office. Least expensive way to buy convenience with harder to find flavor and brand. I also buy this way for home. +211,1351123200,B000LQNK6E,A1CZ7AUH2WWB4Y,5,Best cup of noodles ever!,Tried many (from all over the world) different types of packaged quick-meal type noodles. These are by far the best I've had. +212,1351123200,B0052O8OOI,A19MKA9O504JJT,1,Doesn't taste good...,"I didn't like the flavor of this root beer snow cone syrup, it has a bitter flavor.

It is a great deal tho so it's too bad it doesn't taste good. :(" +213,1351123200,B0049KKR6Y,AH6PRLB7VBHV1,4,Stevia Sweetened Hard Candy,"I was thrilled to discover that some companies are trying hard to provide the general public with a healthy solution to their sweet Tooth. I am trying to avoid any food products that have Aspartame or any other sugar free sweetener with the exception of Stevia, which my doctor has recommended we use as the alternative to all the others. So my Hat's off to you for your diligence and care; Thank you.

I tried the hard candy, sour fruits, licorice, and lemon but was disappointed...I guess my sweet tooth craves something a bit sweeter! The sweets just weren't sweet enough for me! Everything arrived to my house in a short time of ordering; the packaging is good quality and well presented, I just didn't care for the candy. I felt there could have been more flavour.

Again, I commend you for providing this alternative to all of us who are trying to live a healthier life.

Eugenie" +214,1351123200,B0001B8WCG,A3FW29GQ2BNLHI,5,Delicious!,"Wonderful! Deep, rich, pure black raspberry syrup! Absolutely delicious on waffles, cheesecake, ice cream, yogurt, drinks, etc. Thrilled to see that there are at least some berry syrup makers who do not feel the need to ""sour"" the flavor of perfect berry products with citric acid!" +215,1351123200,B000SDKDM4,ACKC8VBHBFRIL,5,"Excellent coffee, excellent service","If you think that espresso means that your coffee beans are charred black and that the coffee should taste burned like Starbucks', then this coffee is not for you. Instead, if you are looking for a rich taste, aroma, and crema, I can recommend this coffee very highly. If brewed right, this coffee will have very rich undertones, without bitterness, and with a hint of chocolate. I have tried Illy as well, and while do I like the Illy, I prefer this Lavazza variety (the Illy is also more expensive). For those who haven't tried the Lavazza yet, I suspect that quite a few among you might like it, especially if Starbucks' taste is too harsh for you." +216,1351123200,B004N5ME0M,A1U3B1YJTKD50B,5,awesome,I WILL BUY IT IF U LOWER UR PRICE TO EXPENSIVE !!!!!! PLEASE LOWER ITS A GREAT PRODUCT BUT TO EXPENSIVE +217,1351123200,B000SDKDM4,A2LJZOZHTOKBOB,5,Delicious,"While there may be better coffee beans available, this is my first purchase and my first time grinding my own beans. I read several reviews before purchasing this brand, and am extremely pleased with the way the coffee tastes. Sooooo much better than Starbucks. I can't believe the difference! However, I should have purchased a smaller quantity since it is taking me quite a while to use up a 2 pound bag. I understand that coffee should be used up fairly soon after the bag has been opened." +218,1351123200,B001NI7OGG,A26HIQ5LWV4SBF,5,Amazing stuff!,"This sauces are absolutely great! First of all, unlike many others, they are not just plain hot, they are actually really, really tasty.

I'm an average heat lover. That means I don't count drops when adding Tabasco to my meal, but not eating whole habaneros instead of cucumbers either :)
So here's my humble opinion about this combo:

1) Jalapeno Death. Jalapenos, tomatillos and tequila. Very mild, crispy and refreshing. Amazing on tamales. Expect to finish this bottle fast.

2) Original Death - delicious, frutty and moderately spicy. If you felt like original Tabasco is not hot enough, this one will be just right. Good with pretty much everything. I did not try it on oysters yet, but expecting this to be superb combination.

3) After Death. That's where the fun begins! Nice punch of habanero and long peppery aftertaste. Great on red meat, absolutely gorgeous on lamb and pork. My favorite so far.

4) Sudden Death. Did you read the recommendation on the bottle about using a micro-drop? Oh, you didn't... Well, you probably should. This thing is HOT. But it feels interesting: not an instant kick, but rather fast growing powerful avalanche of heat with long earthy aftertaste. It will put tears on your eyes and smile on your face - that's for sure. And because there's no instant kick, it is really easy to overdose, so be careful.
This sauce also has Siberian ginseng in it (not sure if it affects taste, but just having it in sauce is cool indeed)

P.S. I'm looking forward to trying out Mega and Ultra Death

P.P.S. With this combo you also get two very nice and surprisingly well made skull keychains." +219,1351123200,B001L28RTM,A23WYVBCNE75X1,4,this product is good,"It tastes good. The container is too big to fit in my cupboard, but I refilled the current coffee creamer dispenser. It tastes good." +220,1351123200,B001I16ENM,A35YV570B5GIXI,5,Yummmmm,"Couldn't live without this product, I live in a country with no Starbucks so I make my own chai tea at home, much cheaper that way too!" +221,1351123200,B009WVB40S,A3ME78KVX31T21,5,Tasty!,"I purchased this to send to my son who's away at college. It was delivered right to his dorm room with very fast shipping. He loved it so much he called me to thank me, and sadly, he hardly ever calls me anymore! If you want your kids to call home, and have some good snack to get them through midterms then send them this." +222,1351123200,B008O3G2GG,A37UIFYX5G32W2,4,Not sure how to feel,"So, my dog likes it. I'll just get that out there right away.
But, it's awkward to carry and can be messy (which I didn't think it would be) but since you have to sometimes give it a little encouragement to get anything to come out, sometimes it just decides ""Oh you want ALL of it!"" and I have a sticky snouted puppy.
And, she has since lost interest in it and prefers treats she can smell better." +223,1351123200,B004UA53AI,A23WYVBCNE75X1,4,Pretty good,"It's flavorful with chunks of tomato. I used it the other night and along with some parmmesan cheese, didn't miss the vegetarian ground crumbles." +224,1351123200,B0081XIASW,A156021XP6CYX6,2,"Paw Flapper Fun, But Too Easy","I got my dog the Paw Flapper because he's a Basset Hound mix and loves to use his nose. He's also pretty smart, so keeping him occupied can be difficult. Unfortunately, this is a super simple puzzle. The first time he played with it, it took him about ten minutes to find all the treats. The next time, it took five minutes. There really isn't anything that challenging about it. Opening the flaps takes my dog a second, and all he has to do is keep pushing his nose into the holes to rotate the top and find all the treats. He had fun, but then it's a toy full of treats, so that's a given.

The puzzle does seem to be well made though, so it's not a bad product. It just isn't challenging enough. I'll be returning it and trying one of the other puzzles." +225,1351123200,B006Y00H08,AGGP41D58P0ZW,1,KNOCK OFF,"This is not the product that should come in this box. I have had this tea from a local store which was excellent, very flavorful pellets. This was a powdered product which was tasteless I can only assume it is another Chinese knock off. Don't bother spending money for it." +226,1351123200,B003GBCAV2,A360QC0UK1LO3,5,Great snack for no carb dieters,This is a great snack for the no carb dieter who miss crunchies like potato chips. Very satisfying and tastey! +227,1351123200,B001D0IZBM,AMUD7YJD0Y8D3,5,My new favourite for a nice bold morning brew,"When using a drip coffee maker, I often slipped in an extra spoonful of grounds to make my morning coffee extra strong so that the milk would not dilute it too much. After recently having bought a Keurig, I was a bit disappointed at the somewhat watered-down light-bodied taste of most of the K-Cups which came as a sample with it.

So my first inclination was to browse the Amazon reviews of several varieties of K-Cup coffee and take advantage of what others who like a nice strong bold cup of coffee had learnt by trial and error - and that was a good move! I took you all at your word, ordered a 50-pack of this coffee on Monday, had my first cup of it this morning, and decided it was worth submitting my first ever review of any Amazon product ever, both to give it a 5-star rating myself and to thank those of you who take the time & trouble to give honest reviews for the benefit of people like me.

So for the record, on a price and quality scale this is my new favourite K-Cup coffee. Until now, my favourite on a pure quality scale was Starbucks Caffè Verona, Dark Roast, 27-Count K-Cups for Keurig Brewers (excellent but very pricey!) and for a bold-yet-affordable cup was Green Mountain Coffee Double Black Diamond, K-Cup Portion Pack for Keurig Brewers 24-Count (also excellent, and less pricey, but IMO not quite as nice in flavour as Emeril's ""Big Easy Bold"").

For anyone looking for a nice strong full-bodied and flavourful K-Cup coffee which won't break the bank, do try this one. If you're like me you won't be disappointed." +228,1351123200,B003OPCL5U,A323AEDVZ84ZFT,4,"Not a pumpkin-y as I would have hoped, but a great flavour","I bought this coffee seeking fall flavors, but unfortunately, it just seemed there wasn't enough in this coffee! BUT the price for the amount of coffee you get is unbeatable and the flavor it still wonderful, just not as pumpkin-y as I would have hoped. Plus, it's organic and all that good stuff." +229,1351123200,B001D0IZBM,A2BAYRWJ9I0LLB,5,Emerils Big Easy,"Best coffee available, I drink it on the middle setting of the five our maker has and one cups is enough." +230,1351123200,B003D4IYSU,AWZZUM4YPP3H9,5,I couldn't love the double bergamot more,I'm absolutely addicted to this tea. it's the best tea I've ever had. when Starbucks changed their black iced tea I had to find a replacement. this stuff is better than anything ever. I'm very passionate about tea. I've never had it hot but I'm sure it's delicious that way as well. +231,1351123200,B00469R3WE,A1OUCH9GD6J0D5,3,Great Cereal Ridiculous Price,"So I've been looking for this cereal literally every time I go to the store ever since I had it at boot camp 5 months ago. I went to about 4 to 5 different stores all with no success, also none of the store associates from any of the stores knew what I was talking about. Least to say, I was extremely happy to see that I could order my dream cereal on here. The product description does say that its 50 oz. however, for some reason I thought I would receive a much bigger bag for the price of $17.47. The cereal, like I remember it, is very good and my boyfriend agrees that it is the best cereal he has ever had, but sadly after 5 months of searching I wont be ordering this cereal again. The price is way too steep and its simply not worth the price. I will wait for the price to fall before ordering." +232,1351123200,B008JA7CRW,A1V1EP514B5H7Y,5,Refreshing and healthy drink,"I was delighted to receive this new V8 drink as I've been a fan of V8 for a long time as it not only is healthy, but it tastes really good. I don't know if it gives more energy because how does one measure that? But, blueberries and pomegranate have been proven to be very healthy fruits and the low calorie count is an added plus. I will be going to my local supermarket to get more of this new drink instead of my usual juice." +233,1351123200,B006V5X8NO,AR6CLLQC3ZO8N,4,Good quality grinder,"I had become almost addicted to the garlic and sea salt grinder that the Dollar Tree used to sell. Of course, (as is the case with almost everything they sell that I really like) they quit carrying it, and that led me on a search for a replacement product. The Olde Thompson is very good, and I would purchase it again; however, I wish it had more garlic and less salt in the mixture. It isn't possible to add dried garlic flakes to the grinder because the top is not removable. (At least I couldn't figure out how to get it off.) The vendor's service was outstanding." +234,1351123200,B008JA7CRW,A4BNJSZVARL5W,5,Yum!,"I loved the V8 Pomegranate Blueberry energy drink! It was very good and has some of the fruits and veggies that we try to pack in all day. This is also an easy way to get the nutrition that most people are lacking. When you have a busy day, it's hard to get everything in and with the V8 Pomegranate Blueberry energy drink, it's so easy, you don't even have to think about it!" +235,1351123200,B0044IE94M,A187XBYBR3BSET,5,5 Hour Energy works very well...,Great price if you buy in bulk. Product works very well. No side effects. I have not tried a flavor that I didn't like. +236,1351123200,B008JA7CRW,A19OR7BSMSPDFB,4,Pretty Good,V8 Pomegranate and Blueberry Fusion Drink

I liked it. Smaller can so its not high calorie. It says energy buy its no added caffeine or sugar just natural fruit juice for a little boost. I love pomegranate and the blueberry adds just the right amount of sweetness. Not too tart not too sweet - well balanced. Nice change up and if you like Pom/blueberry :). I bought a 64 ounce afterward because I did enjoy it. +237,1351123200,B006Q7YFLQ,A7EU2BWLLCJY2,5,My dogs love them!,"I've tried several different kinds of freeze-dried chicken treats and, for the most part, they are all so dehydrated that they literally turn into dust in the bag. You get a couple of solid pieces out of a bag, then the rest you have to sprinkle on top of dog food because it's just chicken powder. These don't do that! They have some additional ingredients in them besides chicken (veggies and fruit mostly) so they stay together very nicely. They are definitely designed for larger dogs - each treat is about the size of a fifty-cent piece (when was the last time you saw one of those?) and about a quarter to a half an inch thick. But they break easily into smaller pieces for little dogs. I have teeny, tiny chihuahuas so I have to break these treats into M&M-sized pieces for them, but they can't get enough! And the bag goes a long ways if you are breaking them down into smaller treats. These are now permanently on my shopping list for my babies." +238,1351123200,B0044MTGHI,A3MV6SD9TXO1X7,5,Love love love.,Simple: VITACOST HAS A CUSTOMER FOR LIFE!!! It's much better than I imagined for so low a price- better than the expensive brands. I use it for everything. +239,1351123200,B003V8Y892,A33HARAFO31LTO,5,"Good product, good price","With all the checking I've done, this seems to be the best value around for Truvia packets. I use them for cooking and baking so they go fast in my home. Being able to buy them in quantity while saving some money is really appreciated." +240,1351123200,B007XARNIM,A14FR3U0FQPAEN,3,Hot!,"It tastes hotter than other gari products I've tried, but it's not a problem for me since I like snacking on hot food. However, the plastic bottle is really fragile and easily breaks, so it needs careful handling." +241,1351123200,B003F84REY,A27CKOACMX8O5F,5,Great Product,So glad to find this since the grocery stores no longer carry this product. it is a spice that not many people use anymore because they no longer cook from scratch +242,1351123200,B000FBQ4YU,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +243,1351123200,B007TGDXMU,A1JWY18IISLJZA,5,THE Alternative To High Priced K-Cups You've Been LOOKING For!,"You love K-Cups, but get annoyed with paying $1.50+ apiece? This product is for you. It's not a K-Cup. So my guess is that they don't pay royalties to Keurig. And they pass the savings along to you.

So if it's not a K-cup, what is it? Too hard to explain. It's like a cross between a tea-bag and a K-Cup.

Here's all that matters: it fits in your Keurig machine--no problem. They package it in a way that it stays fresh. And it brews as good of a cup of coffee as any K-Cup.

But it's WAY cheaper.

Try it. You'll love it!" +244,1351123200,B007TGDXMU,ATE959E0GRIG9,5,My Favorite Coffee!,"I liked the idea of less plastic with my K-Cup, and got the added bonus of a delicious cup of coffee!
I won't buy anything else now...I'm hooked!" +245,1351123200,B004O736HY,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +246,1351123200,B005FT1JTW,AD30TCZOL5F1N,5,"Love it, or not so much","As my title says, you either will love it or not. I love it, some friends who tried it and didnt like it were disapointed the flavor didnt quite match the aroma. This is one you will have to try for yourselves." +247,1351123200,B001PS5TMU,A398R5RS3RE8EO,3,"It was okay, but didn't really help","I bought this dog food after the ""Tainted Dog Food"" incident this year. I did some research to look for an alternative for my sensitive and allergic labracollie, and liked that Addiction used free-range animals and seemed to use natural ingredients. My dog loved the taste and dug right into it.

I had her on this diet for almost two weeks. I bought two bags at a local mom and pop pet store, but it did not particularly improve her stool--which is a big factor for me and her digestive health. Her stool was still softer than normal. Another issue I found was that the Venison meal was very high in protein. My dog is nine years-old and not as active as before, so I wasn't very fond of the protein content. This dog food may be better-suited for active or younger dogs.

At my local pet store, they also have Lamb, La Porchetta, Salmon Bleu, and a couple other puppy variations. I bought Lamb and Porchetta as well. Among the three my dog ate, she seemed to like the Venison the best. I knew this because she always hesitated with the Lamb and Porchetta. I have not tried the Kangaroo (which is available on Amazon), but I may buy a bag just so I can know how it is for future reference, and I can offer a review.

As for the price, yes, it's a little on the higher side. At $17.00 for a four-pound bag, I would try it for a couple weeks and make sure your dog does well (enough) on it before investing in a regular diet regimen of this dog food. For me, though, the results I received did not justify me having to spend the extra money for this dog food, even though my dog actually liked eating it.

Pros:
1. Apparently it tastes very good.
2. Good ingredients.
3. High protein content (good).

Cons:
1. Pricey.
2. High protein content (bad)." +248,1351123200,B001CDOBCM,AM0G358CX6F3B,5,A new perspective on a Manhattan,"If you love a good Manhattan and especially enjoy the cherry at the end, these cherries are for you.

Very dense, sweet and in a syrup, two cherries and a bit of syrup add a better sweet component than sweet vermouth. These things were born to be in a Manhattan! Also recommend skipping the vermouth and adding the Italian liquor Amaro. That and these cherries will change your Manhattan experience forever" +249,1351123200,B000FPJ78Q,A3F14GVSJMJ0WH,2,dingos,The red part of the dingos was missing from 3 of the balls in one bag and two of them in the other. The others have not been opened yet and I found this very upsetting since this is the part the the puppies go for first. I don't mind paying that price if it is as shown. The bag show no white only balls.
Theresa Miller +250,1351123200,B000I1RGQC,A3UC586EDL2M96,5,back to nature oatmeal cookies,Back to nature cookies are great cookies to buy ...they taste great and are more healthier for you ...cant beat that ..they are awesome ..we love all of the varieties ...these are all the cookies i buy ..all the kids that come to my house they will eat the entire box in one sitting ..and i love the fact they are getting better ingredients without all the bad stuff +251,1351123200,B004UIO5MM,A3C8DQDIG921IX,5,Great Coffee,"I have a coffee maker that grinds my coffee beans. It's hard to find whole bean decafinated coffee. When I find it in the brand that I like, I am excited. Seattle's Best is my favorite." +252,1351123200,B0001LQZOI,A2RKEA0GBBC0GU,5,Excellent Tea,"This is the best tea i have had yet. It reminds me of a fine wine,very smooth and full bodied.I use milk and honey with it and i a cant get over how good the tea tastes.I finally found a great tea thanks to amazon and the reviews from consumers on products like these." +253,1351123200,B005K4Q4LK,A28LXT9XBGRA18,1,Too sweet,It's silly to call this a Cappuccino. There is no coffee flavor whatsoever. I have even tried making this 1/2 and 1/2 with strong coffee. Still can't tolerate it. +254,1351123200,B0007A0AQM,A15X1BO4CLBN3C,5,cant get enough of it!!!,"Our lil shih tzu puppy cannot get enough of it. Everytime she sees the bag, she starts jumping up and down!!! Our older shih tzu doesnt like it at all but its perfect for puppies! Will definitely reorder!" +255,1351123200,B004SNMAOO,A3HVA6BTVB1UYP,5,love this bar,Sick of melting chocolate or yogurt icing in your bars. Well here is a good one without that. I love this bar. Just nuts and seeds. Simple and healthy. I am diabetic and a low carber and this bar is one of my favorites. Hard to find in stores so I buy on web. Was well packaged and received quickly. +256,1351123200,B002ZH4EXU,A3MNSYS64E5FAE,3,cats dont like,the service was great but the cats didnot like it.I guess i wont order again. the price is right and it came quick. +257,1351123200,B005K4Q4LK,A34VU0NSTNNTRQ,5,French Vanilla Cappuccino,Great price. Really love the the flavor. No need to add anything to this cappuccino to enhance the flavor. Really enjoyable anytime drink. This is a house hold favorite. +258,1351123200,B000FYYOZI,A13Q9TG853K1J6,5,Yum,"Good, light taste. Not too strong of a flavoring, and very little, if any, aftertaste. They go down easy,...MMMmm. Definitely happy with the purchase." +259,1351123200,B005K4Q4LK,AQ9336463S5W8,2,not what we thought,Thought it was coffee k cups we were purchasing but it is powdered drink mix. Read carefully before buying this brand. +260,1351123200,B004O736HY,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +261,1351123200,B000N30EC8,A3TRJP82AD6LXF,5,Quick and easy for on the go!,I got this for those mornings I am in a rush or running late. Saves time and is very healthy. They taste a lot better than I expected. Also would be a great afternoon snack for children. They would love the taste and would not realize they are getting something that is also healthy for them. +262,1351123200,B002R8SLUY,A09539661HB8JHRFVRDC,4,Fruitables Crunchy Dog Treats,"My lab goes wild for these and I am almost tempted to have a go at some myself, as they smell so great. So far I have resisted the temptation despite the fact that they are filled with healthy ingredients." +263,1351123200,B008JKTH2A,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +264,1351123200,B007TGDXMU,A2WMWK5GJCY8SH,5,The best by far!,San Francisco Bay Coffee Company makes the best coffee for the Kuerig by far. It's also half the price. It's always nice to have someone break a monopoly. +265,1351123200,B004779XSM,A1Y9VUR9W4V0PX,5,Always delicious!,Green Mountain has never let me down as far as taste. Always delicious! This flavor is a particular favorite. A must have staple in our office. +266,1351123200,B004779XSM,A2O3TJYRBCIFWO,5,So delicious!!,I love Green Mountain French Vanilla Cream coffee! The flavor is amazing and all I add in French Vanilla Creamer :) +267,1351123200,B002ACU9XY,A32C7CN1ZWSDEK,5,Favorite Coffee Pods!,"I had been buying Senseo coffee pods to use in my Hamilton Beach pod brewer. The Senseo pods became impossible to find locally, so I looked online. I drink decaf coffee, and it's often difficult to find decaf in different variaties. When I found these pods from Baronet, I decided to take a chance on them. They are so much better than the ones from Senseo! The flavor is rich and the price is quite a bit less than the old pods I was buying. The Baronet pods are also stronger in flavor, which is great if you want to make a larger mug of coffee. They come in flavors, too! Highly recommend!!" +268,1351123200,B003POD8O8,A3NA3L4T8Z3TJP,4,Really good automatic candy dispenser,"This product works great for regular M&M's, skittles, runts and other such small candies. The only reason I didn't give it 5 stars was that it doesn't do so well with peanut or almond M&M's. They seem to get crushed and jam inside the auger. For smaller candies, it's great! Perfect for the office!" +269,1351123200,B004XE0FKY,A134OXKUUA2N57,5,Fantastic -- But ...,"This is fantastic stuff. It's my favorite of all the flavors Fabrique Délices makes. But honestly, I walk three blocks and buy it for just under $6 at Gourmet & More on Gough Street in San Francisco. I can't understand the price or paying the shipping. I'd buy a terrine or use a loaf pan and make it myself rather than pay these kinds of prices. There's a whole classic text on making terrines and pates at Terrines, Pates & Galantines (The Good Cook Techniques & Recipes Series) and you can watch Julia Child do it on The French Chef. It's as easy as making meatloaf.

Beyond that I'd go to the Fabrique Délices web site and see if you can buy it locally in your area.

Enjoy." +270,1351123200,B000FBM3WC,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +271,1351123200,B0098WV8F2,AZHS1BFOK4OTV,4,YUMMMM!,"Am a peanut butter junkie, but hate the calories. This item is great....just add water for reconstitute the powder into yummy peanut butter...without the guilt." +272,1351123200,B005OVPKCI,A1CHOKV10NEI8X,3,"Bland, but OK","Quaker Oatmeal squares are a little on the bland side, but OK. Most Quaker dry cereals are a bit on the bland side for my taste, and have a dull texture. In this one, the cinnamon gives it a little more flavor than others, but it still has a texture that I don't find appealing.

E.M. Van Court" +273,1351123200,B0043P1NUO,A130VGG4P4PW5J,5,These are excellent and excellent $$$$ here at Amazon,This Old Dawg [Chihuahua] has been eating these for years [Bacon Strips as shown] and even with my teeth as old as they are - [16 yrs] I have no problem chewing these - The caramel squares are very good also - BUT not for me at my age.

It is nice to see these under the *Amazon Subscribe and Save* - ordering now - Had gotten the 50oz at Big Box a while back but they run out so often - +274,1351123200,B008JKTH2A,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +275,1351123200,B001KW900I,A3EL8POFM0SH1O,5,My precious child (yorkie) REFUSED to eat for 2 months!!!!!,"I have literally been frantic over ""Celli"" (nickname for Andrea Bocelli) not eating anything except treats..no nutritive value..for 2 months!!! I cooked grilled chicken breasts, beef cooked every way, even lean pork chops...no deal...It is very grueling to watch your only baby starving!!! I tried 32 flavors of dog food. He has always preferred dry food over canned food. So I was perusing the dog food offered by my ""hero sight"" Amazon,and something about Halo Spots Stew caught my attention. For days I went back and forth between flavors that my pooch would find appealing. Finally, I settled on the adult lamb recipe. After ordering I thought ""Oh no, the kibble is going to be too large for his small mouth""( Am I neurotic, doting mother or what?) Anyone who thinks I am totally disgusting doesn't know what this situation is like!! I was prepared to chop the dog food in my food processor...BUT, the food arrived quickly, as usual for Amazon, and what a surprise!!! Upon opening the bag of food, to my pleasant surprise, the smell of the food was so good..so fresh.. and the kibble is so small!! Now for the happy ending...Celli ate every bit in his bowl as if to say ""This is what I've been waiting for""...Mommy will rest tonight...Thanks Halo and Amazon...My love and gratitude to you!!!" +276,1351123200,B0018CIUBA,AUI3US13YHN93,3,Dog Loves it . . . While it Lasts,"I bought this flavor edible Nylabone for my ""industrial strength"" chewing dog who's just over 1 year old. Although he enjoys all of the Nylabone flavors, he goes through them in record time because he's a chronic chewer. Considering how much it costs,I decided it wasn't worth it. Instead, I now buy Purina Chewnola bones - they entertain my little guy for hours and he keeps going back to it until it's gone. I recommend this to anyone with a dog who's into chewing. I also recommend you buy them on Amazon since you can pay as much as 50% less than you pay at a store. (The 3 stars is because the cost doesn't match the lasting power.)" +277,1351123200,B002R8SLUY,A3MHMWPZUAI565,2,Triggered strange vomit response to my dog,"I can't deny that these smell amazing- all the fruitables that I ordered smelled like human-counterpart treats...blueberries, yum.

I was excited to give my dog a ""real"" treat, and I have him one of this and one of another fruitables soft chew. A few hours later, we were shocked at the dog spitting up everything in this stomach- he threw up about 3 times, and then continued to spit up mucous and bile fluid. Gross, and really unfortunate :(

I contacted both fruitables and amazon, who both graciously accepted the open bags as returns, and fruitables checked the lot numbers of the bags I had. I guess my dog had a particular sensitivity to something in these, which stinks because I really wanted him to love these nice smelling treats.

Hopefully others have better luck with them!" +278,1351123200,B007TGDXMU,ADGSALGMJYHOV,5,"Great coffee, not bitter.","I'm not a big fan of the green mountain coffees, because they all seem to be bitter. This is a nice brew that is strong enough for me without being bitter. Their version of the K cup works great in my Keurig machine, 70+ cups without a hitch. They come nicely sealed in 10 separate 8 count packages. I just opened my last package and it tastes as good as the first." +279,1351123200,B003SLYTM8,A3PCBCOQMQEK85,5,Dogs Love Them!,My Maltese and Cavalier King Charles love these treats! I feel good about feeding them a healthier treat.
Not made in China! +280,1351123200,B00609PJEC,A7UQE24D5SB3R,5,Good product,This is a good product but our dogs did not seem to enjoy this as much as Holistic Select or Merrick. +281,1351123200,B00008Q3B7,A7UQE24D5SB3R,5,Paws up!,We try different treats for our dogs and they seem to like the Holistic Select biscuits very much. This has good quality ingredients just like their kibbles which our dogs like as well. +282,1351123200,B007JT7ARQ,A17K6WB5PGT3UV,5,"Great Shampoo, Use it all the time now",This is one of those products I would have never given a try except it was sent to me in the Vine Program.
Now every one in my family uses it.

I do not know how it works but it works good. Scalp never itches and hair looks great.
Has a nice scent to it as well. +283,1351123200,B0000ESTGX,A214U5SCYVJ7G4,4,Smooth tasting mousse,This was very good and it was smoothe and good to the taste It was easy to mix and it only took about six minutes. +284,1351123200,B005CT8R90,A19SLJ981ULZ03,5,Excellent but Price?,"I first heard about this on America's Test Kitchen where it won a blind taste test against a premium Italian brand and so we tried it, and verified that it was excellent and remains so to this day. But the Amazon price is beyond comprehension, $18.88 when compared to in-store price of $7.49 and on top of that, and for reasons that are totally uncler, the store is marking it down by an additional $3.50 so that the price came out to be $3.99. And to anticipate a quesiton, I checked the ""expiration"" date and it is off until late 2013. Even if there was no discout, the $7.49 regular price is a bargain, at least compared to Amazon. And this is good olive oil, the olives are grown and harvested in California with processing on site." +285,1351123200,B008MNDQ4O,AAUVIV5KLSC8A,5,sesamiOil,"This is a good grocery for us.

If you cook something,you can use it.

It is smells so good.

You should buy it." +286,1351123200,B0002YGSJQ,AAUVIV5KLSC8A,5,spicy,"It is a too spicy grocery in japan.

If you cook for udon or something, you can use one.

You should buy one." +287,1351123200,B002QWP89S,A11VCDXC7TGFTG,5,A great deal on Greenies,Paid only $22 with free shipping for 96 teenies compared to about $35 at the pet store. How can you go wrong with a deal like that? The dog begs for his daily Greenie. Got to have them. +288,1351123200,B006IMC3LS,A332LFCZ6ZPJPW,4,Great Monster product,Kudos to Monster for making this coffee flavored energy drink (with approximately the caffeine content of one-half a cup of coffee!) It's my favorite drink on the golf course.... BUT brickbats to them for the total lack of retail establishments carrying it in stock. Thank you to Amazon for offering it at an attractive price.... you're the best! +289,1351123200,B0048GRNZM,AXG287OY16WWL,1,Cute,"For some reason I thought that you got three ""pops"" but you only get one. For the price I paid for the Puff Pop and shipping it was just a little too much. Everyone laughed at it and thought it was cool for a few days and then it was set aside and then misplaced. Too pricey but cute item!" +290,1351123200,B008JKTTUA,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +291,1351123200,B002HQNCBO,A1UW65ZMZ3UWD3,5,Baconnaise,If you are a fan of bacon you're going to like this stuff. J & D makes good products. I will buy again! Makes a killer addition to a BLT. +292,1351123200,B002JA06Z8,A3ESIUM1JTR7KK,5,These fresh berries are truly MIRACULOUS!!!,"I have ordered from Ethans on three separate occasions and I couldn't be happier. The berries have always arrived fresh and exactly on the day I chose. The ""sweet"" effect usually last a good 40 minutes and it's a blast. IT TRULY WORKS! All of my family and friends have been absolutely amazed by it. Don't hesitate to try these, you will not regret it!" +293,1351123200,B001D09KAM,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +294,1351123200,B001D09KAM,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +295,1351123200,B000LKTTTW,A14MQ40CCU8B13,5,Best tomato soup,"I have a hard time finding packaged food of any type, without dairy in it; even potato chips these days have it. The Imagine Organic is just tomato soup, no other BS in it. It is the best tasting too. At one time this soup could be purchased at TJ's, but since they have their own brand, it has dairy & I can't consume it. There are health food stores with it, but I wanted to give Amazon a try. It was delivered as promised & in good condition." +296,1351123200,B008JKTTUA,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +297,1351123200,B003VXHGPK,A21VWSCGW7UUAR,4,"Good, but not Wolfgang Puck good","Honestly, I have to admit that I expected a little better. That's not to say that this is bad coffee - in fact it's quite bold without being too acidic, and pretty satisfying overall. I think my main problem is that Wolfgang Puck's name is attached to it, so perhaps it set my expectations a little high. I have a Wolfgang Puck knife set that I adore, and is very high quality for what I paid for it. This coffee was on sale, so it was well worth it also, I just hoped for something that would knock my socks off - which it didn't. I also purchased the Breakfast blend, and Jamaica me crazy at the same time. The breakfast blend was the best, in my opinion, and the jamaican coffee smelled the best, but was the least successful." +298,1351123200,B003Z8NEL6,A23WYVBCNE75X1,4,Decaf coffee,"I was curious about this coffee sold in Canada. It's smooth. I can drink it in the afternoon and all night.

Still, I don't see what all the fuss is about." +299,1351123200,B005C3IVN8,A3HECKQ9P79EY9,5,Andersons grade B Pure Maple Syrup,"Being a hard core ""all things from Vermont are the best"" kind of guy,I was a bit apprehensive about buying maple syrup from Wisconsin.But the low price and a visit to their fantastic user friendly website sold me and boy was I glad.I purchased Andersons Grade B,(my favorite grade),through Amazon annd found it to be by far the best tasting grade B I have ever tasted.Uniqley hardy yet not too molasses like,this syrup hits all the right notes.I will continue to buy this syrup to satisy my grade B obession and highly reccomend it to all." +300,1351123200,B000JSLYSU,A194RHTL3MSZ3O,3,Too sweet,"Assuming you get these from a good seller(which most people on here didn't seem to get, so be careful about where you get them!), these are far too sweet! They are a decent chocolate, similar to Cadbury milk chocolate bars you can get in the US, but they have an interesting flaky texture. I think they are a bit sweeter than regular Cadbury milk chocolate bars(but those are already pretty sweet too, so am not sure), and even though I like the texture, it's not worth it to pay so much for them. I suggest if you're craving Cadbury chocolate just stick with the kinds you can get in the US, it saves you money and hassle." +301,1351123200,B007FK3HHG,A38XTOID4VG01S,3,Alleged benefits,"I was somewhat surprised to discover that--among aloe's many reputed benefits were digestive, immune, and skin health advantages. Of course, these claims could be simple marketing ploys, but this Aloe Gloe Natural Aloe Water is certainly worth a try. It did strike me as somewhat curious that the water contains both ""certified organic cane sugar"" AND ""certified organic stevia."" I'm left to wonder why water requires any sweetening at all, let alone the addition of two separate sweeteners. At any rate, I drank just one bottle (approximately 35 calories; 10 grams of carbohydrates), and I suspect that's not nearly enough to reap the benefits of this product. I'm a bit skeptical, but I'd be curious to find out whether anyone who drinks this regularly notices any actual benefits." +302,1351123200,B007FK3HHG,A3CNJR9MD5BFKL,4,"A sweet, refreshing drink!","I've never been much of a soda drinker, so I'm always on the lookout for alternative beverages like juice and tea. Lately, I've been swept up in the craze of coconut water. When I saw this bottle of 'aloe water' I immediately wondered what the new flavor was.

When I opened the bottle, I was reminded of the smell of apple juice. Aloe Gloe has a very sweet, crisp flavor. Considering there is a both cane sugar AND Stevia sweetening up this drink, I guess that isn't a surprise. It's very pleasant and enjoyable, and would be extremely refreshing chilled and served on a hot summer's day.

One odd note, though: if you drink directly from the bottle, there's a distinctive plastic note to the liquid. That was rather disconcerting. I think that if you drink it from a glass this would probably be alleviated." +303,1351123200,B008ADQOJA,A1YYFX661KECLP,5,Incredible matcha!,This matcha is incredible - I got hooked on plain matcha - so having someone kick it up a notch and add this incredible flavour is amazing. I'm a big Boston Cream donut fan and this has the same taste too it. Highly recommend it! +304,1351123200,B0000TU6P0,A2T8PG6HNH93WH,4,My former #1 butter...........,"....to be replaced by Plugra.

I became a 'butterholic' after tasting free sample of Lurpak at room temp spread on crakers at Wild Oats years ago.

I had thought that butter was butter, and this premium stuff was just marketing gimmick, NOT!

Ever since lurpak became my regular butter, I started 'testing' other premium butters, so far none ever surpassed lurpak till I tried Plugra at Whole Foods.

Lurpak has this smooth, but tangy taste I crave for. It's an excellent butter to use on fancy Eurostyle bread with organic milk on mornings. But it's not a 'cooking' butter, yes one can use lurpak for cooking, but it's really a waste of flavor and such premium price to boot.

Eventually I found another premium butter that replaced lurpak, Plugra, made in USA, and cheaper than lurpak, and even more complex and nuanced flavor than lurpak.

Even Cook's illustrated declared Plugra a superior butter than lurpak, its former favorite just like it used to be mine." +305,1351123200,B007FK3HHG,A3RYSRBRTZB0JD,5,Wow! Clean and fresh tasting,"I was curious as to how this would taste - and I have to say they did a great job. It taste clean and is refreshing, to top it off its also very good for me to drink. I love natural products and this one fits into my narrow box of acceptability and it's taste was a pleasant surprise.
Jesus' Blessings and Peace" +306,1351123200,B007FK3HHG,ALI483EPAZ6YH,4,Almost Perfect!,"I wanted this to be perfect...as a result of years searching for an Organic Aloe Drink that was not too thick, gloppy, and more like a medicine than a satisfying, good-for-you refresher with all the benefits to digestion and the immune system. Aloe Gloe - almost made it - a silky smooth consistency of a 35 calorie serving per container, made in California USA (Yay!), delicious alone or with food, easily digestible and tastes like the good-stuff-Aloe. But why is organic cane juice (pure sugar), and Stevia (a natural sugar sweetener) added as well to equal 4 grams of sugar? For purists admittedly, the latter can make digestion more difficult and possibly compromise the immune system as well. The taste therefore in my opinion has an over-the-top sweetness note. But if you tend to drink sweet stuff, and/or like it that way, you will probably love the product, and be far better off drinking something actually good-for-you than some carbonated, diluted, and/or chemical concoction of who-knows-what. The product is Gluten Free, has no preservatives, is certified organic Aloe along with organic water as the primary ingredients. And...to underscore, it is made in the good ole USA! Thanks!" +307,1351123200,B000VQD4Z6,A38QNJELGLTMTH,1,warning! cancer...,"I love this stuff, but sadly just received a phone call from my mother who was watching Taiwanese news -- they recently were warning consumers in Asia NOT to buy Shin Ramyun (this brand specifically!) because of the increased risks of cancer...

[...]

See this older study. But it seems to have recently resurfaced and isn't in the mainstream US media..." +308,1351123200,B005PN6A4W,AAIK74LSATKRW,4,"Very tasty, not too sweet","These are the lowest calorie bar with the highest fiber and protein ever. Plus they are so good that when Harps stopped caring them they sold out. Very tasty, not too sweet. Great for healthy snacking." +309,1351123200,B000F9Z29K,A3ULGEA1WIV53O,3,Good salty taste,"These have always been my favorite saltines. As the name implies, they have a good, SALTY taste. The amount of salt seems to have been gradually reduced from the levels it used to have many years ago. I would prefer a bit more salt myself - but cannot find a better alternative." +310,1351123200,B00823T1K2,A1X2LENOF84LCQ,4,Good product,"I like that this is a better product for my pets but really for the price of it I couldn't afford to buy this all the time. My cat isn't very picky usually and she ate this, we usually buy her the friskies prime filets, the vet said it is better to not change their diet and buy different types of food and flavors all the time so we normally stick with the chicken. I am glad this is a chicken formula since that is what she is used to. If it weren't so expensive I would buy it all the time but I do have to budget. I take good care of my animals but I have to watch the cost so that the humans can eat and pay bills. I am trying to get a baby kitten to start on solid foods and I am trying with this since it is quality and it is easier for him to try and eat than the filets.
It is a good quality cat food but it loses one star for being more than I can afford to buy on a constant basis and the cans are very small so it would take more cans to feed a cat." +311,1351123200,B004MXSHA6,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +312,1351123200,B004MXSHA6,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +313,1351123200,B0058M8PFC,A2D3K3299LN2C0,5,Delicious way to flavour water naturally without too many calories,"I love the Flavrz range and this is my favourite flavour. One sachet will give a great taste to 1 litre (approximately a 32 oz nalgene sized container) for only 70 calories. I SO appreciate the fact that there are no artificial sweeteners in this - I'm much happier with just the very small amount of sugar, agave and fruit juice which are present here, instead of the acesulfame, aspartame etc which you get in other products. Tastes great, contains no nasties and hardly any extra calories. Awesome." +314,1351123200,B001E5E1KA,AZPT0S609H54D,2,Has trouble dissolving,"I tried this product to be used in my cold iced tea and limeaid. I have also used Stevita packets. Compared to Stevita, the Better Stevia packets don't dissolve in cold drinks easily. With Stevita, I can simply swirl the glass with a little water and get the packet contents to completely dissolve; with this product, I had to use a spoon to stir vigorously and it still left 'clumps'. Maybe it works better in warm beverages but it's a pain in cold drinks." +315,1351123200,B000HNF8ZW,A194RHTL3MSZ3O,3,Sweet,"I don't know if it's just me, but too many varieties of Cadbury chocolate are just too sweet! The Cadbury eggs and dairy milk bars are the best, but still quite sweet. The curly wurly bars are just not good enough to be worth the price, if you like really sweet chocolate, then get them, but if you're not a fan of really sweet chocolate then I advise against buying these." +316,1351123200,B0021WJ970,A07895621XU7DHRAAPYJU,5,So fresh with NO PRESERVATIVES perfect for my baby,"I am a proud moma to a not so healthy baby and finding clean food that his little body can tolerate has been a huge challenge, We have tried every organic baby food brand but to our total disappointment they all have citric and ascorbic acids added to help maintain their freshness which our son is sensitive too. We never knew about fresh frozen food, we are delighted to find Yummy Spoonfuls, I actually never thought I could find baby food without ascorbic acid (vitamin C) and citric acid added nor that it can actually be made fresh like you would at home, OMG, this is how food should taste, the peas, sweet potato, apple and squash all taste nothing like baby food. You all are amazing for making fresh food for our babies.. Thank you. hol cow, this is good, this is the standard to set for baby food..

I am a happy mommy" +317,1351123200,B001GVIRD4,A2X3269B0R5WRF,1,These are not unsweetened cranberries,"I searched for unsweetened cranberries on the Amazon website. These come up. The bag is folded a bit in your picture so the ""sweetened with apple concentrate"" is not clear. This food is loaded with sugar. I'll give them away, since I can't return them. You need to fix the search on this product so it does not come up as ""unsweetened cranberries.""" +318,1351123200,B000FBM3PO,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +319,1351123200,B004Y34TGK,ACG6QLZLLI0VK,2,twice the price of my expensive grocery store!,"I know what I am getting as far as product, taste, etc., love the PRIME, and always seem to run out of the very tiny containers sold at our (expensive) local grocer. I can't seem to find these at Sam's anymore in the BIG containers and gave Amazon a shot. I wanted to see what the 2 oz. size looked like to get an idea before purchasing but couldn't find a close match in our spice cupboard so I pulled the trigger. UGH! At the store today and I see the 2 oz. is the tiny one and about $2.50!! A rip off as each is about $5.00 here!" +320,1351123200,B007HP6J9C,A20NYQ6WARUXPQ,4,Caramel Matcha-yum!,"This matcha is smooth and creamy-and smells divine. The best part is that red leaf matcha is of high quality, so you never get the grainy stuff at the bottom as I have with other matchas. Try with just a splash of soy milk for a real treat!" +321,1351123200,B005NDXBHS,A2XURJBVAMC8SI,1,Great Ingrediants - old and dry,"We must have received a fruitcake made a year ago - this was so dry, you could not slice it- it just crumbled. You could tell the ingrediants were of high quality.

Last year we purchased a Jane Parker fruitcake and it was great, unfortunately, the large ones are no longer available through amazon.com. In addition, the tin ( which my wife wanted ) was damaged in 2-3 placed - fedex is rough on things" +322,1351123200,B008RYX8T6,A3G2YF0YIUR257,1,The Seller is NOT Starbursts,"As I ordered this for my boyfriend for his birthday as he LOVES the sour Starbursts but they were discontinued. So I ordered these and found that not only is the seller a scammer, I never received my product!

After multiple attempts and emails to ARRAM, I had to file a claim. They said they would ""redeliver"" this product THREE times and I still didn't receive it. They write their own feedback for a higher score and never solved my problem.

DO NOT ORDER THESE! You will never receive them. Very disappointed that I was scammed on Amazon. I never write reviews however, I wanted to ensure that this does not happen to anyone else." +323,1351123200,B0076YVPWU,AR5SY32T76DBM,2,"Bland and vaguely gamy tasting, skip this one","As far as prepared dinner kits go, ""Barilla Whole Grain Mezze Penne with Tomato and Basil Sauce"" just did not do it for me...and this is coming from a person who ONLY eats freshly-prepared Barilla Whole Grain Pasta at home!

The sauce is blandly sweet and completely forgettable, while the pasta itself was more mushy than al dente and had a vaguely gamy taste, too boot.

In all, as a long time Barilla fan, I'm quite disappointed with this product. There are far tastier prepared dinner options out there to recommend this." +324,1351123200,B008NDSNAU,A1TWM78I835NGZ,5,"Mmmmmmm, popcorn!",Great popcorn! I'm a repeat buyer too. One pack makes just a teeny bit more than my Whirly Pop can hold with the lid closed. The kernels pop big and have a great flavor. The hulls are farely tame for big kernels. My only suggestion for Wabash Valley Farms would be to boost the butter flavor just a smidge. Maybe I'm old fashioned but popcorn popped on the stove top is so much better than microwaved. +325,1351123200,B0029K321S,A1JWG1JHCPADI0,4,StarBucks coffee,"Star Bucks coffee is without a doubt the best coffee in the world. I do like the smell of star Bucks coffee when I return from walking my dogs.

The smell of good coffee covers the room. Then when I take the first sip, I know it is time to start my day." +326,1351123200,B009GAJ5QK,A1KRAZE3FLGA1G,5,"Good quality, fast delivery","I bought these to make homemade vanilla. The quality of beans was very good. Very ""meaty"" and full of beans. It was also received very quickly and they were well packaged in a vacuum sealed package. Would buy from this seller again." +327,1351123200,B0032RPLSY,AB3TIJG8RHKT3,5,"Excellent Quality , Best Source of CLAs out there","This is a high quality Ghee , superior tasting and above all made from grass fed cows' milk and certified organic by the USDA.
We use it over lentils , eggs , sauteed veggies , quinoa , rice , you name it and we use it. Tried it on whole grain toast too...YUMMY !! Being from grass fed cows' milk , it is rich in CLAs and boosts immunity and energy and is known to fight and obesity , especially trimming the waistline. This is my second time buying this and I am a consumer for life. I also introduced it to my friends and they are digging the taste.
I really hope AMAZON continues to sell this product ( prime delivery really makes it all the more special ).
Please try it for getting healthier and also the incredible taste. Highly recommended." +328,1351123200,B003VXHGE6,A21VWSCGW7UUAR,4,"Good, but not Wolfgang Puck good","Honestly, I have to admit that I expected a little better. That's not to say that this is bad coffee - in fact it's quite bold without being too acidic, and pretty satisfying overall. I think my main problem is that Wolfgang Puck's name is attached to it, so perhaps it set my expectations a little high. I have a Wolfgang Puck knife set that I adore, and is very high quality for what I paid for it. This coffee was on sale, so it was well worth it also, I just hoped for something that would knock my socks off - which it didn't. I also purchased the Breakfast blend, and Jamaica me crazy at the same time. The breakfast blend was the best, in my opinion, and the jamaican coffee smelled the best, but was the least successful." +329,1351123200,B0032RPLSY,A2ELBN89JT1S4T,5,Delicious!,This ghee is delicious. A little goes a long way because of the intensity of flavor. It imparts wonderful aroma to vegetable dishes and does not burn easily like butter. highly recommended. +330,1351123200,B00451WLYI,ALUMNTP7GDBS8,5,Don't underestimate this little packet,"Easy to travel with. I've used in Europe, I've used in American Wilderness. Light in wieght, strong in kick and flavor." +331,1351123200,B005GYULZY,A37UIFYX5G32W2,4,Not sure how to feel,"So, my dog likes it. I'll just get that out there right away.
But, it's awkward to carry and can be messy (which I didn't think it would be) but since you have to sometimes give it a little encouragement to get anything to come out, sometimes it just decides ""Oh you want ALL of it!"" and I have a sticky snouted puppy.
And, she has since lost interest in it and prefers treats she can smell better." +332,1351123200,B001QWDYEA,A398R5RS3RE8EO,4,I sprinkle it over her kibble and she loves it.,"I have been giving my dog the dehydrated dog food as an extra treat to add to her kibble. I have been looking for something I can add to my dog's food to give her a bit of variation, that won't make her tummy sick. This was the perfect solution. You can actually see what is inside and the ingredients are mostly very natural.

At first I rehydrated the food with some water and added kibble on top. This worked out great and it was so much easier than taking wet food out of a can. I suppose if you aren't too concerned with financial costs, and your dog is doing well on this food, keep going. But 6 pounds of food for $20.00 is not going to work for me.

I realize that the directions say you should add water but the owner of the local pet store that I purchased this from suggested to sprinkle a small amount on top of kibble, just dry. I did this and my dog liked it. At one point she would just lick up the dehydrated bits; and slowly eat the kibble. I mix the dehydrated parts with the kibble now. This made the dehydrated food last much longer than. A box lasts a few months now, and my dog enjoys eating her meals.

So far I have tried the Herbed Lamb and Beef Zucchini. My dog seems to like each one equally.

Pros:
1. Good for sensitive/allergic dogs.
2. Can use de/rehydrated.
3. Apparently it tastes very good.

Cons:
1. The price.
2. Does not last very long." +333,1351123200,B007AU14IK,A3EN8S9K3NZSIW,5,Sadly I can't find this product anymore!,"These were great healthy crackers from Costco- But they seemed to have vanished into thin air. It looks like the company changed their formula and packaging (judging from their website). That's a shame when they had such popular (and delicious) product that was available at Costco. Maybe Kirkland should consider a private label of this one :-) Either way, I hope they will bring this one back soon!!!" +334,1351123200,B002QWHJOU,A11VCDXC7TGFTG,5,A great deal on Greenies,Paid only $22 with free shipping for 96 teenies compared to about $35 at the pet store. How can you go wrong with a deal like that? The dog begs for his daily Greenie. Got to have them. +335,1351123200,B006G7Z5WE,A5BRO0WY8TQ46,1,WE LOVE POP CHIPS!,We love POP CHIPS. Pop Chips are the best snack for our family because we need to be Gluten Free. And POP CHIPS are delicious. The six 6.25oz bags we received from Amazon were SMASHED so they were POP CRUMBS! Amazon did nothing about it. Do NOT BUY FROM AMAZON! Buy POP CHIPS from your local store. +336,1351123200,B005RY7GH4,ALHNAGWMHYH0G,5,Cajun Meatlof Mix,"If you want to add a bit of zest to your meatloaf, try the Lysander's Cajun Meat Loaf Mix. The only way the family will eat meat loaf!!! Totally rocks!!!!" +337,1351123200,B006E0RJ0O,AT8N386G0DVS3,4,Delicate flavour and smell,"Delightfully fragrant after infusing in hot water. Delicate taste -- somewhat sweet and fruity, but the hint of ginger lingers (pleasantly) after the cup of tea is consumed.

I first tried this particular flavour in a Tea Forte sampler gift, and I'm glad I got the loose leaf tea in this form. I won't say that this is great value for 50 servings, but the uniqueness of this blend redeems this purchase." +338,1351123200,B003L7JO9C,A1EDO00W3VH2X5,5,Great tasting,"This is awesome salt. I buy it over and over as I just love the maltiness flavor. If you are a fan of salt and vinegar, then this is the salt for you." +339,1351123200,B005Y10XZ2,A11F5KW6QXHL8L,5,Yummy,These chocolate protein bars taste just like brownies. They are absolutely delicious. I was very surprised to find the South Beach Diet bars did not taste like a diet bar but instead something homemade. I recommend them highly. +340,1351123200,B002CJAT6W,ANP2X414OHQNS,3,damaged can in group,"One of the cans arrived damaged with a collection of bugs in it. The product itself is fine in the other cans, and I am using the rest. My cats really like this food and I have ordered it before with no smashed cans. I hope the company is not foisting old product on online shoppers." +341,1351123200,B000E63LAQ,AP4EOETI05U74,5,The best tea!,"I LOVE this tea, my all time favorite tea. Such wonder flavor and so soothing. On top of the great taste, it's good for you! Highly recommended!" +342,1351123200,B0062Q58MG,A1CHRKGGTEFFEW,5,So good. The next best thing to thin mints,I put these in the freezer and they taste just like the girls scoots thin mints. Their cheap and you can by they all year round. +343,1351123200,B0028H1H28,ATVE2GYK8S2KC,5,Twinings Peppermint Tea,This is my first time using any type of tea in a Kcup. I was very pleased. The flavor is definitely as good as tea bag tea. I wil certainly reorder this item. +344,1351123200,B004ECMDXW,A3FLNCYFL7465Q,5,Very tasty and good for you!,"I have always loved this product and was glad to subscribe so that I could have a constant supply on hand. The smoky flavor and the lower salt content are very tasty. The supplier keeps juggling the price and sometimes it's not available; I suspect we consumers are eating these poor fish faster than they can propagate. I'm very glad Amazon makes these available, buying them locally can be very expensive by comparison." +345,1351123200,B0044AAGNI,A3TRJP82AD6LXF,1,Okay if you like cinnamon candy.,"Just not the normal flavors I am used to getting. The red ones are hot and spicy like the cinnamon candies. So if you like those and like gum this would be perfect for you. The pink, orange, and yellow dont have a great flavor. I really like the green ones." +346,1351123200,B0030ZLOUC,A1MRWTJP5JWWGV,5,Premium Dog Food!,"I ordered about 8pm on 10/23 and got my order around 3pm on 10/24. My order was very fast and I expect nothing less of amazon! My dog absolutely loves this food, but of course all dogs love any kind of food lol My rottie's coat is very smooth and shiny. This is exactly what Eukanuba advertised so I'm very pleased with the results.

Thank you amazon for the expedient service!" +347,1351123200,B005MHRB7G,A1KES0BS9W83OF,4,Great Item,"This is my go to choice for premade baby food. I love the packaging, making it easy to throw in the diaper bag and pull out whenever needed. I like the ingredients a lot more than similar products. It is just the pureed vegetables and some lemon juice to keep it from spoiling. My kids love it and it is always a treat when we are out and I can grab one. It took them a little while to figure out how to suck it out and I normally have to push up the last of it for the one year olds. Great product, would recommend it." +348,1351123200,B000KLTM4O,A20CUART3ZQDP9,5,Sweet Perfection,"Not everything in this world is perfect, but this really is the perfect candy. Is delicious!!! I cannot have enough of it!" +349,1351123200,B004JQXBT8,A2ZSNN5RGMYG15,5,Flavorful coffee,"I have acid reflux disease, so I try to stick to foods and drinks that won't cause me any grief. This coffee tastes great and I don't have any tummy problems when I drink it." +350,1351123200,B0018NLL2Y,A3FW29GQ2BNLHI,3,Unusual,"Cute packaging. Fun for kids. The flavor is way more ""mint"" than banana. In fact, you can barely taste the banana at all if you're expecting banana-flavored candies. It's an unusual flavor combination, at best." +351,1351123200,B001FVLLGK,A2KG2ME7DZQ7L4,5,Fenugreek Aids in Breast Milk Production,"Daughter is breastfeeding but felt she wasn't producing enough milk. We decided to incorporate Fenugreek into her diet via various ways. Since she is a sprout lover, I agreed to grow these organic sprouts for her. I used about a tablespoon or so initially and was elated how well the seeds sprouted. There were very few seeds that didn't take. I did prewash and soak overnight in a hot rinse bath because the seeds are harder than some. What an incredible aroma from these sprouts. After 5 days in the mini Sprout Master, they crisped up in the fridge and are now a healthy addiction to daughter's diet. Fenugreek is known to help increase milk production and these seeds can also be ground and added to many Indian or African dishes for an unusual almost maple syrup taste. Very worth the extra time to sprout our own seeds without a fear of salmonella as many sprouts have been contaminated in the grocery stores. Always buy organic sprouting seeds." +352,1351123200,B00438XVGU,ALUMNTP7GDBS8,5,Don't underestimate this little packet,"Easy to travel with. I've used in Europe, I've used in American Wilderness. Light in wieght, strong in kick and flavor." +353,1351123200,B007FRCY1O,A13LGJZ6A39BP1,5,Husband Loves It!,"This is one of my husband's favorite teas. I wish it weren't so expensive, but it does last a long time. I bought an 8 ounce bag and received 4 separate 2 ounce bags, which is quite a waste of packaging." +354,1351123200,B000YOQOAC,A17XLNVNQ8GIQE,5,Superb Flavor and Great Price,"Golden Barrel Blackstrap Molasses was all that I anticipated and expected. I was inspired and encouraged by memories of my father adding it to my oatmeal when I was a child. I was not disappointed! I still like oatmeal as my Dad made it with raisins, some pecan chunks and a tablespoon of molasses. No white sugar is needed...it is pretty sweet! I sometimes add almond milk, but not always! Golden Barrel Blackstrap Molasses is also great in molasses cookies and Ginger Snaps! You just have to try it to be consumed by the joy jumping on your tongue! Thank you Golden Barrel!!" +355,1351123200,B003D4F1QS,AWZZUM4YPP3H9,5,I couldn't love the double bergamot more,I'm absolutely addicted to this tea. it's the best tea I've ever had. when Starbucks changed their black iced tea I had to find a replacement. this stuff is better than anything ever. I'm very passionate about tea. I've never had it hot but I'm sure it's delicious that way as well. +356,1351123200,B003M678R2,A2TLHWZKNDRJY0,5,Nothing but the Best Fir My Cat,"This is the greatest food I have ever found for my cat. He's old and not in the best of health, but since I switched him to this diet he has had an incredible change in his health. His diabetes has reversed itself, and his kidney functions have become normal again. He will continue to live many more healthier years. And, he loves the food!" +357,1351123200,B004BKVQF8,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +358,1351123200,B004B9EJQW,A2MPXQZRBBS9QR,5,My Dog's Favorite Snack!,"I was first introduced to this snack at my dog's training classes at petco. He really enjoys them! The pieces are really tiny but you can tell that it is made from quality ingredients (it also smells really bad), but my dog loves it. I highly recommend this product as it is a quality product that is actually healthy for your pup!" +359,1351123200,B0015AWU7U,A11XAIFA10G7TS,5,Wonderful!,"I was standing in a hallway at my daughter's high school when one of the other parents handed me this sucker. I loved it! Within a couple of days, I went to the grocery store to buy a bag and they were out. Drove to another grocery store and they were out. Came home and ordered from Amazon (which I should have done from the beginning).

These are basically melted Apple Jolly Ranchers coated in caramel. Each one is oddly shaped due to the ingredients so they look a bit odd, but who cares when they taste this good? The sweet and the tart mix together well for a wonderful flavor. I also like them since they take a while to consume and when I am finished, I feel like I have satisfied my craving for sweets.

I keep a couple in my purse now and have found myself handing them out to friends. Most of whom have the same reaction I do --- great!" +360,1351123200,B006C2AAHI,A3NTX3H2MMRQKM,5,stockclerk,"We came across these on a trip to Hawaii that a friend had asked us to get, and found that these were fantastic. So had to get some more and this was a great way to pickup without traveling back to Hawaii!!!!" +361,1351123200,B000SARJQK,A2UWLIFD3VBKPS,5,got what I expected,"This is a black tea with french vanilla essence, so obviously it's not going to taste like most vanilla people are used to. Black tea has a strong flavor so the vanilla doesn't stand out as much and also natural unsweetened vanilla tastes a lot different than commercial vanilla products or artificial vanilla.

I'm guessing a lot of people are used to artificial vanilla since it's a lot sweeter. The difference between real vanilla and artificial vanilla is like the difference between a watermelon and watermelon flavor.

I do have one complaint though, the tea leaves smell like maple syrup and vanilla. Kind of weird, but it tastes good." +362,1351123200,B0045GX66A,AW4AH10OLSV5I,5,Delicious!,"I haven't had Orange Blossom Honey this good since we moved from Florida to Texas many years ago. It brought back amazing memories and a very happy mouth. If you are a honey lover and want the best tasting honey ever, you have to order a couple of bottles. They were shipped timely, packaged very well (in a plastic bag besides the packing material) reasonably priced, and worth ordering. This was my first order of Tropic Bee and it definitely won't be my last." +363,1351123200,B002IEVJRY,A2Q89DEW2Y91A7,4,Nice but very sweet,"I really enjoyed this iced coffee drink, but it is very sweet. I usually drink a shot of espresso over ice in a 12 ounce glass then filled the rest of way with skimmed milk, with 2 packs of sugar. This tasted like my homemade version but was much sweeter. The coffee flavor was good - tasted very fresh-brewed despite coming out of a can. Just sweet. Candy bar sweet." +364,1351123200,B002IEVJRY,A2GPLOLLE6BUDT,2,I did not like it.,"I did not like the taste of this Illy cappuccino drink. I like coffee and coffee drinks in general, and I was looking forward to trying something new, but this product had a slight metallic/chemical aftertaste that, while not strong, was present in sufficient strength to make it less than pleasing to me. I much prefer the Starbucks Mocha Cappuccino drink that tastes only of coffee, milk, sugar and chocolate. I do not know if it is the metal container that imparts the aftertaste to the Illy product. The similar Starbucks drink comes in a glass container that I suppose could have something to do with its fresher taste. Also, since my opinion is certainly subjective, others may like the Illy drink and be just as justified in their opinion." +365,1351123200,B004TEVING,A26CJA8EMEJW6W,5,Great Salt Substitute,"My wife and I use this as a low sodium alternative to regular table salt. We cook with it and we sprinkle it on food on the plate. Either way, it tastes absolutely the same as standard salt....still with the iodide we want but with 66% less sodium, according to the label. We certainly recommend it." +366,1351123200,B0007IJE0W,A1U9DNQW2EKXKH,5,Mom loved it!,"I ordered this gift for my mothers's birthday and she loved it!! Since Im in college, sending my mom this gift was a great way to make her feel special :)" +367,1351123200,B004BKVQF8,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +368,1351123200,B0081XPTBS,A1KG2FZQW58S2F,4,"It's not Mother's milk, but it's great formula!","After going back to work full-time, I really struggled with keeping up with nursing my baby full-time. I just could not meet the quota that baby wanted to consume through pumping, no matter how often I pumped, what supplements I took, what diet I had, etc. I started using the Enfamil samples they sent me in the mail before I had my baby. First of all, I was kinda disgusted with how yucky it smelled. Baby didn't seem to like it either and spit up most of it after drinking it. We went to try their formula for babies who are gassy and as I was waiting for it to warm up I read the ingredient label and was shocked to see that the very first ingredient was corn syrup solids. Really??? In infant formula? I know it needs to contain sugar but come on!
So that started me on a research binge and I found that all formulas have to have some sort of sugar in them, but the kind of sugar is what matters. Moms make lactose and glucose (although in smaller amounts than lactose) and there is also fructose and sucrose. Fructose is what they make from corn (AKA HFCS), and sucrose is what they use in artificial sweeteners. I voted primarily for lactose and glucose, but found that a lot of formulas focused on fructose and sucrose, and if they had glucose it was from brown rice (this was during the scare that rice had arsenic in it).
FINALLY I found Earth's Best. I was impressed that not only did it have lactose and glucose but glucose was the 4TH ingredient instead of the first or second. This was the most important point to me in purchasing, but even more important -was baby going to like it? When I mixed it the first time it didn't have a sour odor to it, and it smelled like milk (granted, as all formula, it smells after it sits for a while). It even looked like milk (hooray) AND baby gobbled it right up. ALL OF IT. She loves the stuff! Best part is there are no problems with transitioning from breast to bottle, so now she is supplemented with the formula after her fill of breast-milk when I'm home. She even gets excited to drink it!
I think there's something everyone needs to keep in mind. We don't live in a `clean' society any more. Everything has toxins and chemicals, you have to choose the lesser of two evils. Everything is bad in excess: sunshine can give you cancer, tap water can give you cavities and diseases and raw fruits and veggies can give you pesticides. Even air is bad for you, depending on where you live. So I say, do the best with what you have and don't let yourself get too carried away with all the hype about harmful stuff. In the end, I feel I made the right choice for my baby and chose the next best thing to breast-milk that I could find that was relatively affordable and easy to obtain." +369,1351123200,B008XOKY1U,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +370,1351123200,B001M5RNTS,A1RNY62H7OANUE,5,Love This Stuff,"Great variety and comes in a package that does not crush during delivery. I gave it it's own shelf in my pantry. No fuss not mess and convenient to get to. Delivery was quick and when you add it up, I believe, I am saving money over the grocery store" +371,1351123200,B002MZU7L8,A32FCOK0ED7W3G,1,Not a product of usa!,"This product is from Brazil, not the usa and doesn't taste that good! This is false advertisement from Native.
I will not be buying any more of their product!" +372,1351123200,B000FBQ54Y,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +373,1351123200,B000LKXJW0,A1319YKZ1JYBNF,5,Love These!,"These are a great substitute for bread if you are living gluten-free. I eat them nearly every day for lunch. Very tasty, esp as a part of a makeshift sandwich in lieu of bread. My 5-yr-old daughter loves them; she calls them popcorn cakes." +374,1351123200,B005X1X17A,A24UHAYXKSS3AP,5,Yum,My kids love these Earnest Eats snacks. I like that they are more nutritional and healthier that traditional snack bars in the grocery store. I also admire the use non-oil alternative products such as almond butter and non-processed sugar such as dried fruit for sweetness. I have already ordered these bars 3 times and will continue! +375,1351123200,B002838YVE,A3UC586EDL2M96,5,back to nature oatmeal cookies,Back to nature cookies are great cookies to buy ...they taste great and are more healthier for you ...cant beat that ..they are awesome ..we love all of the varieties ...these are all the cookies i buy ..all the kids that come to my house they will eat the entire box in one sitting ..and i love the fact they are getting better ingredients without all the bad stuff +376,1351123200,B0036Z3ULM,AR4D2TK36WILK,5,Great product,This is great popcorn. We make it in a stir crazy and almost every kernel pops and it tastes so good. We had family visiting and they fell in love with it and now they steal a bag everytime they come over. This is by far the best. +377,1351123200,B00376ZEY6,A3FDSLA2LFCP9N,5,Also guten free and kosher,"Didn't buy these here, but they are the best. Company certifies gluten free and kosher, it would be really nice if that information were available on Amazon, but it's not. I got it from the company. I believe they also are made in a facility that doesn't process nuts, but you'd have to check that on the company web site. Search for the company website for allergen info." +378,1351123200,B0061IUKDM,A16GBXDS51J019,4,"Refreshing and tasty, hot or cold","While I am not a tea expert, I have tried a number of different green teas at the office over the years and found most of them the same. Most most of them have been rather ho-hum. Something I drink to feel better but not necessarily tasty.

This one stands apart, and is pleasant to drink. With the colder weather coming I suspect I will be enjoying it more.

This green tea also stands up fine to a bit of ice to drink cold, not something I can say about any of the other green teas I have tried, mostly because I wouldn't have even considered it with them. I am going to have to get some more, soon." +379,1351123200,B008XOKY1U,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +380,1351123200,B001E5DZIE,A3OZC8ZFZR1G41,3,not too sweet,"Closest thing I've found to breakfast bars I used to love that were discontinued...not too dry, not too sweet, not too gooey...just right! I wish you could buy them by the case they are so good. Have one for breakfast every morning." +381,1351123200,B003BV2LES,AG4YGLLIE8BWP,5,Makes me drool just thinking of them,"The Brit's have out done us. The flavor is supreme,they satisfy my hunger for steak and onions...
Get them while you can... Their other flavors are great tooo" +382,1351123200,B003BV2LES,AWFA8N9IXELVH,1,Deceptive description,On Oct 9 I ordered from a different vendor the same product 1.2 oz- 6 pack. That order was 6 packs of 1.2 oz ea. When I saw this item I decided to order it. it read the same as my first order 1.2 oz- 6 pack & the price was approximately the same. I received the order today & what is it but 1 large bag of small packs totaling 1.2 oz. I call this deceptive not curious as another reviewer put it. I think the descriptions should be more specfic. The 1 star rating I gave is because of the description not the product itself. The chips are actually very good. +383,1351123200,B005HSSCFK,A3U7W07OLWYCNE,5,One of the best across the US,"I am a BBQ chip fanatic and have tried every chip in almost every state. These are in the top ten, crisp, real potato flavor, taste home-made. The only suggestion is they could add a little more of the bbq flavoring, that would move them up to the top 5 category and at this price they can't be beat. Thank you Route 11..for your little slice of heaven" +384,1351123200,B003B3OOPA,A2IA6EA7ANJ25X,5,Great taste,"This product is great. My husband and I both love it. It is good as a supplement, and for cooking. It has a wonderful scent and a soft taste. It is a very healthy product. We are pleased." +385,1351123200,B001KP8EO8,ABWCUS3HBDZRS,5,Excellent product,After scouring every store in town for orange peels and not finding anything satisfactory I turned to the online options.

I received the candied orange peels today and I found exactly what I was looking for. The peels are perfect for the fruit cake I plan to bake. The peels are not crystallized with sugar which is great I like the texture and the taste of the peels and I am gonna order another box soon. +386,1351123200,B001EQ4NWK,A1H3CPV8ARWNLM,1,"Bonus: Bag of sunflower nuts also contained a giant, dead beetle","If you enjoy a side of dead, salted beetle with your sunflower nuts, this is the product for you. I opened a bag this morning, and after eating a few handfuls, noticed that an insect leg had been uncovered. This was shortly followed by the remaining 2.5"" of beetle. Needless to say, I'd avoid ordering this product at all costs, and if you have, throw away whatever you haven't eaten.

If I could post a picture with the review, I would." +387,1351123200,B002PI82P0,A2E9MJ0C3LHB2Q,5,perfection~~!!,LOVE this machine. SO easy and quick and requires little TLC and maintenance. Been using espresso makers for over 25 years and this is best of ALL!! +388,1351123200,B002DHNIBG,ACI2ZCJJN568S,4,Great flavor,"These are so delicious. Great flavor for autumn or any time. We all love them. But not too sweet, way more crunchy than chewy, this makes it a bit messy. Its like a crunchy cookie. Everyone loves crunchy cookies!" +389,1351123200,B003B3OOPA,A2LLLUYSWV2E59,5,Great product!,"This is a right one I have expected. My hair feel so smooth and shiny after 2 weeks I use it. But you should wash your hair clean completely by shampoo, if not your hair feel sticky and will be dirty soon." +390,1351123200,B002FXOTOS,AWY2S8X9UC4CL,5,Good Girl Treats (GGTs),"I purchased these treats on a whim for my dog a couple of years ago to assist with training. She loved them and is well behaved! The grandkids sing a song and our dog will dance for a treat. My dog is eight years old and thanks to Dingo Treats, the vet says she has teeth like a two year old dog! The only problem with the treats is that its extremely difficult to purchase in the store. Thank goodness they are available on Amazon." +391,1351123200,B0028GWJI0,A1H31XV4OODPAK,5,"Dog likes, what's not to like?","My Westie was allergic when we first got her from OK Westie REscue. She has always been on some fish type food, and she continues to do well on this. No problems with it. It is really terrific to buy and have it shipped to the house." +392,1351123200,B0010Y6QBC,A1QGG2JWXLY6PM,4,Good product....no energy boost yet,"I bought this since I read about the more than positive reviews. My husband and 5 yr old take this daily as a shake added to our oatmeal and although we have not seen a change in our energy level, we seen a lot of movement in the bathroom arena. I gave it a 4 because I have not seen any energy change yet, which is really why I bought it. If our energy level explodes then I will change my rating." +393,1351123200,B000FAPLS6,A2Z1ZQ2A8CTG9S,5,thank you amazon,"They are mixed. I love them!..... I found some of them firm and some not firm....read the first sentence again. I wish I was able to tell you haw well they held up, or stored...but I ate them all and came back for seconds.....if I am able to eat them slower, I will alter the review and let you know how they store :) enjoy they are great!" +394,1351123200,B0034EDLS2,A1XV4W7JWX341C,5,"Ordered these bars for my daughter in college who's on the go...will re-order for both of us, they are soooo yummy & HEALTHY!",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the cranberry too.. +395,1351123200,B008JKU2CO,A34XBAIFT02B60,1,Should advertise coconut as an ingredient more prominently,"First, these should be called Mac - Coconut bars, as Coconut is the #2 ingredient and Mango is #3. Second, lots of people don't like coconut. I happen to be allergic to it. Word to Amazon that if you want happy customers to make things like this more prominent. Thanks." +396,1351123200,B008CH3IKM,A3AU23RO5XD06E,5,Great Basil Taste - Organic- Gluten Free,"About time, this is the best organic gluten free basil pasta sauce I have ever had. My wife is Italian and said she has never had better." +397,1351123200,B000KK22Q0,ASEUIZKTJIFQX,5,Found what I been looking for,I have found what I was looking for in a popcorn seasoning. I have been looking for at least three years. I plan to order more soon. +398,1351123200,B0034EDLS2,A1Z42SO1EE4L02,5,Great Taste,I love the KIND bars. They taste great and are much healthier than other bars. Also they satisfy your taste for something sweet so are healthier than eating candy. +399,1351123200,B001EO5U3I,A2XXBZPQT5EXHV,5,There Is No Better Oatmeal Around,"I'm biased, I'm Irish and overall I think everything is better if it comes from Ireland. This includes whiskey, beer and now oatmeal! The oatmeal, of course, is the healthiest of the three! I know that Oprah has recommended steel cut oats for their health benefits, and while I'm not big into listening to Oprah it appears she's right on target here. I started eating these right after a cholesterol test, the doctor wanted to put me on medication and I asked if I could come back and take another test in two weeks. I changed my diet to include Irish oats for breakfast every morning and in two weeks the doctor said ""hey, whatever you're doing just keep it up"" as the numbers were much better.

Don't get me wrong, there's nothing that is a miracle here, but they are definitely a healthy choice for breakfast that will leave you better off than sugar filled cereals or bacon and eggs. The oatmeal's taste is fairly bland, as you'd expect from oatmeal so I like to make mine with cinnamon and raisins or with either a little honey or sweetner added.

Amazon has always been a better price than any of our normal grocery stores so it's a great place to get them if you're local club store doesn't carry it!" +400,1351123200,B008JKU2CO,A1XV4W7JWX341C,5,"Loved these gluten free healthy bars, saved $$ ordering on Amazon",These Kind Bars are so good and healthy & gluten free. My daughter came across them and loves them for a quick snack between her hectic schedule of classes & work. Most times she won't have time to eat a full meal and these are such a great alternative to fast food. I will order again & this time I'll get a few for moi! Really loved the coconut too.. +401,1351123200,B000FVK9SM,A2NFFL8QAACW1N,5,Monin Syrups Raspberry Tea,The Raspberry Tea Syrup is great. I can use it for hot and cold drinks as well in certain recipes. +402,1351123200,B0007U5J40,A194RHTL3MSZ3O,3,Very sweet,"I like the crunchy-ness of the middle, but it doesn't have a great flavor, basically just a very sweet taste without much substance. The chocolate around it is pretty sweet too. If you like really sweet candy and crunchy-ness then go ahead and get them, but there are much better chocolates out there." +403,1351123200,B0039KEQTO,A2C7MXJF5OOSBS,5,"Great product, but too much of it.",This pearls were exactly what I was looking for and made delicious tapioca pudding. My only complaint is that you have to order so many boxes. What am I going to do with all that tapioca?? Two or three would've lasted me a long time. +404,1351123200,B000PUQPA4,A2LGAFQBR7FBHE,5,"Excellent Marshmallows, just be aware that they are made with corn syrup.","Excellent Marshmallows, just be aware that they are made with corn syrup if that is an issue for you. I did not read the ingredient list so that was my fault. Still looking for gelatin and sugar based marshmallows." +405,1351123200,B007HP6TVU,A20NYQ6WARUXPQ,4,Caramel Matcha-yum!,"This matcha is smooth and creamy-and smells divine. The best part is that red leaf matcha is of high quality, so you never get the grainy stuff at the bottom as I have with other matchas. Try with just a splash of soy milk for a real treat!" +406,1351123200,B0064A8DXG,A3CM9FBBOL2WWB,4,Does What you expect!,"These refillable k-cups are a bit pricey, but will save you money & make a great cup of coffee, provided you use the right coffee. I've found you need to go with a stronger coffee than you would normally use because it comes out weaker than with the actual K-cups or a traditional coffee brewer. Use a stronger coffee & you won't be disappointed. I've had them for 8 or 9 months and they hold up." +407,1351123200,B0096RP89G,A2V9A4GGAQ259L,5,Delicious!,I have tried the coconut curry one and I absolutely loved it. The flavors are amazing. This is not your same old same old boring soup. I could eat it every day. Now I want to try all their other flavors from Campbell Go. +408,1351123200,B008MNDQPI,AAUVIV5KLSC8A,5,sesamiOil,"This is a good grocery for us.

If you cook something,you can use it.

It is smells so good.

You should buy it." +409,1351123200,B007Y59HVM,A1KF5QYV41WH1G,5,San Francisco Bay Coffee Fog Chaser One Cup for Keurig K-Cup Brewers,"San Francisco Bay Coffee Fog Chaser One Cup for Keurig K-Cup Brewers is a very nice complement to the Keurig Green Mountain selections. I am now on my computer with a nice hot cup of the Fog Chaser at my side. I like the fact that there are eight cups to an air tight bag, and that there is an external plastic container for storage after you open one of these bags. A very nice option which I will again use for future purchases." +410,1351123200,B007Y59HVM,A2ERWXZEUD6APD,5,Fog Chaser Coffee,"This coffee has a full body and a rich taste. The price is far below the ""other"" coffee in the K cup and does not use as much plastic." +411,1351123200,B007Y59HVM,A318AB05Z9WR6S,5,Good buy for k cups,This coffee is delicious. No issues with the packaging. No grounds in brewed cup. Great value! I'll buy other blends in the future. I consider myself a coffee snob and this exceeded my expectations. +412,1351123200,B000FBM3YK,A2XVOWD40JCFSZ,4,yummy cookies!,We've ordered for them every month and only once the package inside the seal had a small hole and wasn't as fresh. +413,1351123200,B006ZMYLKC,A2GEZOSPJ0SWMZ,5,My Favorite K-Cup!,"I absolutely love this hot cocoa! Our office purchased a Keurig brewer about a year ago, and while the brewer is fancy and very nice, I never had an opportunity to use it until now. You see, I'm not a coffee drinker at all. Coffee makes me jittery all day and I feel like my bones and veins are vibrating. Not what I need when I work with high schoolers all day! This hot chocolate k-cup is a perfect treat for me, especially now that the mornings in Southern California are a little cooler and crisper. The chocolate flavor is well balanced, not too rich and definitely not too ""pasty"". I hate it when the powder mixes have leave the residue in the bottom of the cup. I usually make my hot chocolate with milk when I use powder, but with this k-cup, water is just fine. I definitely plan on buying more all year!" +414,1351123200,B007Y59HVM,AZ60BJ1NNZO6D,5,San Francisco Fog Chaser,Not for the timid. Great flavor with a bit of a bitter bite. Longer it sits the better the taste. My number one choice. +415,1351123200,B008I1XPKA,A1X72EVJFHF8EA,5,Great Cup of Coffee,We enjoyed the Brooklyn K Cups very much. The price was right and it was very convenient to receive by mail. We would definitely consider ordering again. +416,1351123200,B000EDGB7E,A33RFE73ENQRPM,4,Healthy treats for the kids,My kids love these freeze dry fruits. Great as a take along snacks when we are on the go. A little expensive for the amount of fruits you get. Will stock up the next time Amazon has these on sale (lighting deal). +417,1351123200,B000Z3VUEC,A3F6933AX1JNMQ,1,Did Not Like,I really wanted to like this tea. I was hoping it was going to be my new favorite especially after reading the reviews on here. I did not like it all and ended up taking it back to the store where I bought it. Luckily Wegmans let me return it. I also only paid $1.99 for a box. If you are used to drinking vanilla tea then this will not compare. It has a wierd flavor to me and even smell. I tried one bag with just water and another with cream and sugar and still hated it. Regarding the price I can not believe it costs this much on Amazon. I suggest checking your local stores at Christmas time and stocking up if you like it. Wegmans in upstate NY has it and it is only October. +418,1351123200,B008I1XPKA,A25D37J5IF44YK,5,Good coffee makes for a great morning.,I was very happy to find this deal. Good price and excellent coffee. Gets my morning off to a good start. +419,1351123200,B000EDMDZS,A33RFE73ENQRPM,4,Healthy treats for the kids,My kids love these freeze dry fruits. Great as a take along snacks when we are on the go. A little expensive for the amount of fruits you get. Will stock up the next time Amazon has these on sale (lighting deal). +420,1351123200,B004U8Z4MM,A3JR3NYF4RD23T,4,Very convenient,"Before I order anything online, I try to research as much as possible. There were so many comments complaining about the packaging, stating that the litter was spilling out of the box when it arrived. I was under the assumption that the Arm & Hammer box was shipped alone. And that may be the case if shipped from another supplier, but I have a monthly subscription from Amazon. The 40lb litter box is placed in a different Amazon box before it ships. Some of my litter spilled out too, but I just simply poured the 2 tablespoons back into the original box. The subscription saves money and makes things so convenient, since it's delivered right to the door each month. Then the shipping is free on top of all that. Lifting 40lbs is no prob for me, but my girlfriend sure does appreciate the free delivery.
Pertaining to the effectiveness of the litter...... I am a dog person, so being around cats is new to me. I made my girlfriend try at least 10-12 different types of litter, and found that none of them work perfectly. Arm & Hammer works for us since it meets most requirements better than others. (masks odor better than any other I've tried, clumps well, inexpensive) Then the subscription makes it so convenient. This is a real unsolicited review....the type that I look for when I scan other reviews to help me make a decision. I hope this helps someone." +421,1351123200,B000MT4HWG,A23NBI33FUN8F9,1,My Chihuahuas HATE This Product,"My two Chihuahuas loved ""Cadet Gourmet Pet Treats Duck Breast Fillets"", the 32-Ounce package I had been buying at Costco. However, I discovered it was made in China and feared this product could make them sick or cause death. So I started searching for a company in the USA that made dog jerky treats. I found Plato Natural Duck Strips and ordered a bag. This product does not look like or smell like duck jerky strips. My Chihuahuas sniffed it and just walked away. It doesn't even smell like duck. Rather, it smells somewhat fishy. A waste of my money!" +422,1351123200,B006N3I8ZW,A1QU5WEF3LS9YD,5,Twinings---a good cup of tea,I have been drinking Twining's tea for years. It used to be made in England but now they have a plant in North Carolina for the American trade. The tea is excellent. I drink the decaf for health reasons and find that it is as tasty as the regular tea. +423,1351123200,B007GYQ6LA,A33RFE73ENQRPM,4,Healthy treats for the kids,My kids love these freeze dry fruits. Great as a take along snacks when we are on the go. A little expensive for the amount of fruits you get. Will stock up the next time Amazon has these on sale (lighting deal). +424,1351123200,B008NDSNH8,A1TWM78I835NGZ,5,"Mmmmmmm, popcorn!",Great popcorn! I'm a repeat buyer too. One pack makes just a teeny bit more than my Whirly Pop can hold with the lid closed. The kernels pop big and have a great flavor. The hulls are farely tame for big kernels. My only suggestion for Wabash Valley Farms would be to boost the butter flavor just a smidge. Maybe I'm old fashioned but popcorn popped on the stove top is so much better than microwaved. +425,1351123200,B008I1XPKA,ADZN913PN0G2C,1,Coffee Let Down,"I had high hopes for this coffee after reading some of the reviews; although some of the reviews were not so favorable either. I should have taken those into account before ordering this coffee. This coffee was awful. I tried it a few times on different water settings on my Keurig thinking that maybe a lower setting would help. Maybe a little, but certainly not much. It was bland and had hardly any flavor. I won't be ordering this coffee again." +426,1351123200,B006Q7YG2O,A7EU2BWLLCJY2,5,My dogs love them!,"I've tried several different kinds of freeze-dried chicken treats and, for the most part, they are all so dehydrated that they literally turn into dust in the bag. You get a couple of solid pieces out of a bag, then the rest you have to sprinkle on top of dog food because it's just chicken powder. These don't do that! They have some additional ingredients in them besides chicken (veggies and fruit mostly) so they stay together very nicely. They are definitely designed for larger dogs - each treat is about the size of a fifty-cent piece (when was the last time you saw one of those?) and about a quarter to a half an inch thick. But they break easily into smaller pieces for little dogs. I have teeny, tiny chihuahuas so I have to break these treats into M&M-sized pieces for them, but they can't get enough! And the bag goes a long ways if you are breaking them down into smaller treats. These are now permanently on my shopping list for my babies." +427,1351123200,B002A3NO9E,A2Q9EETPTSL36G,5,Excellent Kit,"I just want to say I feel extremely sorry for Danielle (the previous reviewer) and the people she gave these as gifts to. For me, this has been wonderful and I intend on buying others.

It takes a while, for sure, and what helped with mine was two things:
1.) Keeping a plastic bag over the bag the plant is in for an extremely long time, months even. Once it gets growing...
2.) Transferring the plant into a self-watering pot and keeping it in as much sun as possible (I'm an indoor gardener lol).

Now, for me, the trick is to get it to STOP growing. :) Also, the oregano is DELICIOUS. Anyway, these are cheap enough that I'd say they're worth a go. I've had great luck with mine." +428,1351123200,B005STNE3S,A1SSZEZA8U2RNK,5,Perfect for Dig Pink,These were perfect for my red velvet cupcakes with cream cheese frosting for a Dig Pink volleyball game! Everyone loved them and they softened into a frosting consistency after sprinking them on the previous night. Loved them! +429,1351123200,B001PQREOI,A3L1M0TJ2I384,4,Italian seasoning,This is a great size for cooks for me. I cook a lot. It is much cheaper to buy this product than it is to make my own. My local stores do not carry anything close to this size. +430,1351123200,B0029NILPW,A3N1XX8CQLSBZI,4,chow time,"a fine delicacy, with a pleasant smell and taste that my dogs look forward to. Packaging is easy to store and dispose" +431,1351123200,B007RTR9DS,A3HLLKGK6GTUPF,4,nice not too greasy,"i did enjoy this product in my hair.

usually i get too greasy or too watery.

the product had a nice consistency and the smell was very pleasant.

yet like with all products like this, it's difficult to get out of the bottle. My fingers get messed up and once you get to the middle it gets even more difficult.

If someone could design a better way to get the product out that is like this, i would love to buy this product more." +432,1351123200,B000SATIVO,AJAS77J3NW4T1,4,"Worth the money, but nothing to write home about.","First of all, shipping and packaging went very well. I'm impressed in that regard. After reading the previous review, I was kind of expecting to be blown away by the wonderful smell and taste. I'm not saying it tastes or smells bad, but it's not as amazing as the other reviewer puts it. The fragrance and taste is hard to describe, but good. I brewed it at a relatively hot temperature for about 6 minutes, and added sugar with it. The tea tastes fruity but with a cinnamon kick to it as well as floral undertones. I would recommend this product to another person, but I don't think I'll be able to use all 16oz of it. Buying a smaller bag might be a good idea." +433,1351123200,B008I1XPKA,A3QAP0MHEJK3UW,4,No coffe ground in my cup,I have read the reviews and noticed some complaints of coffee ground residual left after brewing. I have tried ALL of the blends and I have not had a single problem.
My kuerig is over a year old and I can honestly say this coffee is very good and a reasonable price!
I was so thrilled when the new hazelnut flavor came out and it is very flavor filled and no unpleasant aftertaste. I give it a solid 4 as the only way it would get a 5 is if I brewed a whole pot and I can't with my k-cups

BUY !! you will not be sorry +434,1351123200,B007Y59HVM,AILQNWAHVRY91,5,This Coffee is WONDERFUL!!!!!!,"I was a little skeptical about the lack of plastic cup around the base of the ""K-Cup"". It fits perfectly in the Keurig brewer and makes the FRESHEST!!!! K-Cup Coffee I have ever had! The individual packs are sealed nicely and upon opening make you entire house smell like a coffee shop! I have put these on auto delivery now!!! yay! Thanks Amazon for offering such great products!!!!!!!" +435,1351123200,B007RTR9DS,A1WXFL6IXQKAM5,4,Does what it says it will.,"The Clear Scalp & Hair Beauty Therapy Ultra Shea Intense Scalp Nourishing Balm does exactly what it says it'll do; it moisturizes and protects hair, it has a pleasant scent, and the scalp feels better after it's been used.

The only thing to warn you about is that this product does not seem made for my particular type of hair; instead, I think if you have much coarser hair than I do, this product would be much better for you than it was for me. Mostly, I believed this helped me some, but I think it would help someone with very coarse hair far more.

But it works, and it does what it says it will, which is why it deserves a four-star rating.

Barb Caffrey" +436,1351209600,B0012C2GFM,A2T28XGN21AZ0A,2,Super healthy but tastes like ass,"I have no idea what these people are thinking saying this stuff tastes great. They must work for Nutiva or have a friend who does.
This stuff is super healthy, I'm sure - but tastes friggin' awful. It's like cardboard pulp. I make smoothies with it which my mom said look like diarrhea.

I'm stuck with this huge 3 lb bag - which, in its defense - is a fantastic bargain. But I got it in 2010 and I'm still trying to choke it down two years later. Spend the extra money and get yourself some Vega. It's certainly pricier, but you get what you pay for." +437,1351209600,B004LLGBQG,A4IL0CLL27Q33,1,Buyer beware,Nespresso makes GREAT coffee and GREAT machines. The Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here). +438,1351209600,B0001M10TW,A3DUXBNB660QGM,5,This product is great however the price of $9.32 must be a misprint. It is available for around $3.50 on other websites.,"This product is very good on all meat products, vegetables and soups. It has just the right amount of pepper.

I would not pay $9.32 for it when it is available on other websites for under $4.00!!!
[...]" +439,1351209600,B0048KH218,A2JAEJJA6TJHLY,4,Busted,"The bag came broken. Product was leaking out of the box, due to poor packing standards.
Hope next items arrive unscathed. Quinoa tasted good." +440,1351209600,B001G0MG46,A2SM0RC2BDLFU4,4,Delicious!,"This was a gift for my brother, and he finished it within 10 days of its receipt. Need I say more!" +441,1351209600,B001EQ4OY2,A19N1RDH99TTJZ,5,Can't live without it!,"I'm french so I literally grew up with this salt, I don't even know how to cook without it. What a nice surprise when I found out I can easily order it here on Amazon in the US!
Basically this is 2/3 real sea salt and 1/3 herb salt (like celery salt and such) so you can cut on salt without even thinking about it.
The taste? So much better than dumb salt, it adds a wonderful but subtle herb/vegetables flavor (kinda like a bouquet garni?).
Everybody loves it, husband, friends, grandma and brother in law, everybody.
Best way to enjoy it? Fresh bread, butter, sprinkle the salt on the top of the ""tartine"" and eat with fresh radish! Yum!

My mother always insist on sending me some from France ""But Mom I can just order it from Amazon here!"".
It's hard to believe that 50 years ago, this was just a local product and now it's sold on Amazon in the US. But it totally deserves it! Thank you Alfred Vogel for offering us healthy AND yummy products since 1963! Way before organic products were trendy.
This is a true 6 stars product." +442,1351209600,B002K9BG16,A30A7W9CZ77GFY,4,Butler's chocolate is the real deal direct from Ireland,"Nifty hot chocolate discs added to your warm milk or milk alternative is simply yum! Made in Ireland so you know the chocolate is high quality.

Ingredients for those that desire it (I think it should be a requirement on any listing):
Milk chocolate 29% (sugar, whole milk powder, cocoa butter, cocoa mass, emulsifier:soya lecithin, flavouring: natural
vanilla), Cocoa mass 25%, Invert sugar syrup, Sugar syrup, sugar, water, preservtive:sorbic acid), Sweetened condensed
milk (milk, sugar). Milk chocolate contains 32% cocoa, solids minimum, 20% milk solids minimum.

Shelf life is about 18 months." +443,1351209600,B00438XVGU,A2GW6JUVTALDPV,1,I did not receive my order,"I placed my order through Amazon and after about 10 days inquired about my order because it had not shipped. I received an email back from Starbucks that my order had been canceled. No explanation at all, just that it had been canceled. I checked back on Amazon and see that this item is still available but they had raised the price.

So instead of honoring the price they just blew me off like the sale never happened. Shame on Amazon for allowing a seller to do this.

Bottom line, Amazon has gone down a few points in my eyes. Greedy Starbucks can keep their coffee." +444,1351209600,B00171APVA,A21BT40VZCCYT4,5,Healthy Dog Food,This is a very healthy dog food. Good for their digestion. Also good for small puppies. My dog eats her required amount at every feeding. +445,1351209600,B0029ZAOW8,A2E2F8WSUB33VE,5,Excelent,"Good price, flavor, fast delivery And good presentation overall. Very eficient when playing golf, it really gives extra Energy and it helps to achieve a better game" +446,1351209600,B005ZBZM52,A1BSGNCHEI1PJI,5,Very Nice Medium Roast,"This coffee has the best aroma! Great medium taste. I have replaced our Starbucks Pike's Peak Roast because my husband and I like the taste better. I store it in a sealed container, don't mind that I can't store it in my drawer with the other k-cups. The overall morning experience is pleasant!" +447,1351209600,B000JL9EOS,A399ZRBKJS8YKT,5,Great on everything!,"We purchased this seasoning in Kauai, and use it on everything - beef, chicken, fish, it is absolutely our favorite! It is expensive but very worth the extra cost." +448,1351209600,B000IHJEDE,A2DFSA2JXQKVY3,4,Not bad.,"These are small and very salty. The taste is good, but very strong, so it's a good thing the package contains a small amount. It only takes a few little crisps to cure my salty/crunchy craving. I can snack on one package for an entire day. Of course these would not be a good snack if you're very hungry, because there isn't enough there to fill you up. For less than $1 per pack it's an okay deal." +449,1351209600,B0049D7HRS,A3LR9HCV3D96I3,5,Delicious,Individually packaged assorted rice crackers are really good. I could without all the packaging. Really great price for a high quality mix of rice crackers with some wasabi peas included. I mixed with salted peanuts for a delicious snack. +450,1351209600,B0042WXFJU,A3KUC5K5VSJNU9,5,"It's FANTASTIC! Mixes with Many kinds of Soups, etc. Yes.","I just love it, and I am Not a major Indian cooking fan--just enough. Really, it mixes with anything you are doing like Steamed Brown Rice Bowl, Organic, Microwaveable, 7.4-Ounce Bowls (Pack of 12) (I use these for convenience, and then I don't eat the whole pot of rice). In many kinds of soups, etc. Beef it up with some Amore Tomato Paste, 4.5-Ounce Tubes (Pack of 12), which is so, so convenient. Sweeten to taste if you prefer. Here's the best artificial sweetener on Amazon NuNaturals Nustevia Alcohol Free Stevia Glass Bottle Liquid, 2-Ounce. (Stop using Splenda which contains three Chlorine moities. It's essentially bleach, folks.) Enjoy, lentils are so healthy, and this way they really have flavor!
FYI: This costs $3-5/PER PACK at our local stores when you can find it. It is Not overpriced, as someone here said." +451,1351209600,B000CQC0B4,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +452,1351209600,B0034WSXIC,A2EOLZ2F8PG87D,5,Awsome Figs,I am an big lover of fig jam and this fig jam has a very unique flavor. Kind of a mix between the light kadoda figs and the dark mission figs. Must try it! +453,1351209600,B006N3IE6A,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +454,1351209600,B002Y3CSD8,ATL8TGSAEMDV1,5,I would buy it again,"I decided to try this sauce recently and overall I thought it was delicious. I've had Pad Thai at many different restaurants around Chicago and Boston, and my version of Pad Thai using this sauce felt less ""greasy"" as my wife put it. Another reviewer commented that the flavor was not ""authentic""; whether this is true or not, it was still good. In the future I may try a different sauce just to compare, but I would have no problems buying this sauce again." +455,1351209600,B0029NU2E0,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +456,1351209600,B0054ES1MG,A25QCYSED869Q3,5,If you like mint candy......,"This is the best hard mint candy in the world. Expensive, though. I can't find it in stores. Anyone know where I can get it off-line?" +457,1351209600,B001BOE3UW,A18J98YVUMMDOA,5,You can taste the ginger.,"I love these ginger candy, tastes like ginger nothing added but natural ingredients. I got them because the were gluten free. My daughter took them to school for her teachers with colds, I handed them out to my neighbours. I will be getting more." +458,1351209600,B004FD13RW,A1BPLP0BKERV,5,It is awesome.,"My partner is very happy with the tea, and is feeling much better since starting to drink it.
She has been drinking it both hot (normal) and iced (chilled) and likes the refreshing nature of it." +459,1351209600,B000LKTXMU,A2J3PR6J36UTVH,5,Michael Seasons Unsalted Potato Chips,"These are the best chips ever! They are unsalted and being on a low sodium diet critical in allowing my husband and I to eat chips. They are all natural and low fat which is a great extra bonus. Additionally they have the BEST flavor...you really taste the potato flavor and not the salt! I would choose these chips over ANY chip on the market today, salted or not!! These chips as well as ANY unsalted chips are very hard to find in the stores so THANK YOU Amazon for selling them." +460,1351209600,B000RZNY5G,A2ZGTXBI8C7FYI,5,YUMMY,"Very good, still have a little left. I like the salty taste (that's why I buy them) Not too salty nuts are open and easy to pop out" +461,1351209600,B007PA30TG,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +462,1351209600,B000RNENU8,A1BCHCP9C7ZE8B,5,Works like a charm and easy to use,"We have a lot of container plants, including a fig tree, tomatoes, roses, etc., and they need regular fertilizing. Mixing granular fertilizer into a bucket is messy, so I switched to liquid Miracle-Gro and have been very happy with it. People remark on how healthy and productive our rooftop garden is. For use of use and results this is well worth the cost." +463,1351209600,B0083COD6O,A1DOLU6HS6R05M,5,Great flavor!,"I purchased this in a local health foods store, and loved it right away. I've tried other almond milks, and always found them to have a gritty or grainy aftertaste. Not so with this drink. It's very smooth. I could have this in cereal or my fave chai latte's or straight out of the box. Love it!" +464,1351209600,B005HI55CS,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +465,1351209600,B0033HPPIO,A2U3RRCA2URS56,5,Delish!!,So yummy... Drinking it Black coffee or w cream this coffee is delish .... One of my favs... I would recommend this coffee to everyone :) +466,1351209600,B008FXKOKK,A3RKYD8IUC5S0N,5,Tasty and works!,"First off, my cat HATES regular Greenies (the big crunchy ones) and won't even try to lick them. Any flavor. But my big fluffy Himalayan was hacking up stinky furballs in unreachable places, so when I saw these at the pet store I bought them on a whim.

She loves them! I don't think she even chews the things, she inhales them so fast. Tuna treats are ok but chicken were more popular around here. She likes these better than the Temptations treats she had before, and I am convinced that these are somewhat healthier.

The pouch recommends 12 treats a day, all at once, or even more for my big-boned cat. I usually do more like 5-6, because that many treats seems excessive (she would love it though). Either way, she hasn't had any hairballs since. I am not positive about the causal relationship, but I suspect these did the trick. They're great!" +467,1351209600,B002QZ2AZ0,A18PSXOI64YFZC,3,its delicious...,I was surprised at how delicious these toasted chips are. They ship well with little damage. I have ordered them several times. Also they are very fresh. Not one bit was left in the bag when I got through. +468,1351209600,B002ULC2V2,A4VW6XVS48EMF,5,Seeds!,"I love sunflower seeds and I have found that Planters has the best tasting, fresh and delicious ones out there! they are hard to find so i am glad I found them on Amazon, I recommend to all to give these a try!!!" +469,1351209600,B007PA32OE,A3UOYYQS5Z47MS,5,Morning Coffee,Great coffee at a good price. I'm a subscription buyer and I buy this month after month. What more can I say? +470,1351209600,B0042WXFJU,A1ESX96TOYF8X5,5,Really tasty,I never thought I'd buy this type of item but tried it at C****o when they had one of their numerous taste tests. Both my 8 year old and I liked it. So good for you and reasonably priced there especially with an instant coupon! Comes in a 4 pack box for under $10. +471,1351209600,B000KOT5O8,A2KD4B8AZMAWJU,5,Fantastic Flavor! Great for Tuna Steaks!!,Why would someone pay almost $15 for this product (although the taste is worth it)when you can get it for less. Check your prices before paying too much. +472,1351209600,B007KPFSJ6,A506HOOCVL8GW,5,BEST cup of coffee I've ever had!,"I thought I'd splurge and try this coffee. It costs much more than other decaf K-Cup options. But I hoped that meant it was better coffee. It IS better coffee. I've never had a better cup of coffee than this. It is excellent when compared to any other decaf or regular coffee I've tried.

If you like BOLD, FLAVORFUL decaf coffee try this coffee and you'll really like it." +473,1351209600,B002J771J0,A1TED4G0PWZPQV,1,Was rotten,"Culd not eat it, but the other flavor I ordered was fine, not sure why it was not ok, when the other one was" +474,1351209600,B00196P9PA,A3D9688QO6PLGD,1,Disappointed,The metal cover has severely disformed. And most of the cookies inside have been crushed into small pieces. Shopping experience is awful. I'll never buy it online again. +475,1351209600,B0045TI2HU,A62DE4ONLWSD,5,Sugar-Free Brownies - Diabetes related issue,"Extremely satisfied... got precisely what I ordered and wanted. I appreciate that we are permitted to modify the order while still keeping it in force. Next time the option appears, I will either spread it out to more than three months or reduce the number. Six boxes in three months maybe a bit more than I need as I am told to cut back/eliminate. But these are a great way to get my chocolate fix. Only the CHOC FUDGE is carried by our stores, but the MILK CHOC is what I prefer.

On a similar note, why do stores limit their sugar free inventory? Because they do is why I had to come online to purchase this product. I had made requests at our local stores to carry this product, but it was not accommodated." +476,1351209600,B0001M0ZWA,AUEA2NJHMK9DF,4,Like this tea,This tea has a nice flavor although I wish it was a little stronger. I have brewed way it states and even tried letting it sit longer to get a stronger cup but it didn't work. Am pleased with purchase and flavor overall. +477,1351209600,B005F0JM7W,A3U9177XF7ZF3P,5,"Works great, simple install.",I bought two of these. Easy to install and works great. The only problem is now my wife is buying more K-cups. +478,1351209600,B0001TNCK0,A1GCFTFXELCHRP,4,Still unsure about its benefits.,"ACV is supposed to help maintain the immune system, help lose weight, along with many other claims. I know that drinking a tablespoon of ACV, diluted with a glass of water, once per day, has helped me; but I haven't seen the benefits of the pill yet. Only been taking it for 2 weeks though, but it's certainly much more manageable than drinking directly. PS: Still smells awful though." +479,1351209600,B0005YW0TU,A22SW4MALCSDWV,1,Inedible,"I am one of the least picky eaters that I know, but I had to throw my bowl out after a few spoons of this. It was disgusting and inedible. I wonder if anyone at these big companies try their products before marketing them. The flavor was heavily artificial with strong off-notes of bitterness and tree bark. Dont believe me? Go ahead and try it." +480,1351209600,B008JKTTUA,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +481,1351209600,B001PICX42,A13W6WYHKSKAT,5,Favorite fruits snacks!,"I try to buy only organic when it comes to my kids and my son is obsessed with fruit snacks. I discovered these a couple yrs ago and fell in love right away. Not only does my son love them, but I do too! Plus, I love how soft they are! I don't worry about my younger son, who is 1.5, choking on them because they are very easy to chew. I also love how they sell them in only berry flavors because I have never been fond of citrus flavored candy and I like to eat these just as much as my kids. lol" +482,1351209600,B003TNANSO,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +483,1351209600,B001P05K8Q,A3L0B5NBTQ7ZHO,4,Great results but they stink,"We originally purchased these chews from our veterinarian. Decided to order them here from Amazon because of the reduced cost and lack of shipping temperature restrictions on the product. We get complimented on the whiteness of our dogs' ""smiles"" all the time. Our vet is happy and so am I because I don't have to brush their teeth a lot! You definitely want to wash your hands after handling the chews because they have a peculiar odor. Now if someone can figure out how to ship heart worm prevention without it getting too hot, I'd be ecstatic!" +484,1351209600,B0029ZAOW8,AYTSBGA5A3UWI,5,A God Sent Remedy!!!,I love this stuff! It's a God sent Remedy for hangovers!.... I understand the health concerns many people have and I can also see that this can be habit forming. I make sure I only take one every so often and not everyday. +485,1351209600,B002RBRY0Y,A11LYF3HM1QQK7,3,very delicious,"This is my very favorite of the truffles. It is a medium dark and very delicious. If I have one, it screams at me to have just one more! As long as they are made, I will be first in line to purchase." +486,1351209600,B003VXHGPK,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +487,1351209600,B0084MBGNQ,A3F526Y77Y64KT,5,Great Outdoor Dog Treat,I have two Weims that have a strong need to chew. These bones serve that need very well. Be sure to keep the bones in an area where you don't have to worry about stains as they are greasy. +488,1351209600,B000QSON4K,A2I606SLG4SWHF,5,Perfect for Giving Medications to Our Dogs,"Every month, we give our three dogs (two Aussies and a Golden/Flat-Coat Retriever mix) pills for flea/tick/worm repellant. In addition, one of our Aussies needs daily thyroid pills. We found Pill Pockets is the very best way to do this. Opening the mouth wide and trying to put the pill waaay in the back of the mouth before clamping the jaws shut and massaging the throat until the poor dog swallows is a bad thing to do to a beloved pet. It's bad because Pill Pockets make this chore a happy and delicious time for the dog involved. The Pockets (in the pet store we use) come in chicken or beef flavors, so we alternate flavors every time we buy a new supply. Everybody is happy, and the dogs get the required meds." +489,1351209600,B0046IIPMW,A27IEA7DADM64W,5,Great for a Paleo diet,I've been eating a strict Paleo eating diet for nearly one year and including Ghee has been a huge taste benefit. Ghee has virtually no lactose and is healthier than regular butter. I brush this on my chicken breasts and then bake them with a a bit of crushed black pepper and sunflower seeds. The flavor really comes out with so few ingredients. This brand and another one are two of my favorite and they are usually listed with Prime available. +490,1351209600,B007O17V2I,A1571CSWXSP125,5,Oat Bran,This oat bran was great as a cereal & pancakes. Just adjust your recipes to your diet & add the oat bran. Great! +491,1351209600,B003VN97GQ,A20DC4NK8YMOQT,5,One of the Best Dressings Around,"As stated above, a great salad dressing at a great price, especially when you purchase the cruet as an accessory included in the package. When ever I serve this to guests, most are not aware that this is a packaged dressing (I doctor it up a bit), until I tell them.
A good inexpensive gift for your favorite cook." +492,1351209600,B006392MMG,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +493,1351209600,B000NM1BHQ,A2JDXKFZ0PFHKU,2,Received broken,I bought these to use as decorative center pieces for a birthday party. The packaging looked nice but when going through the candies to put in my decor I noticed that over half of them (43 to be exact) were broken and unusable. +494,1351209600,B0065AOUKK,A1KRZB2K7O6XC,5,Yummy!,Got this for my brother & nephew and they just love it!! Said it's better than regular hot chocolate. Allows whole family to use the Kuerig so not just for coffee. +495,1351209600,B0012VSXIM,A2TOUMUWSN7FJY,5,Good & Plenty Licorice Candy,If you like licorice you will love this candy. I can remember eating this candy from a box at the local movie theatre when I was a kid and it is still just as good. +496,1351209600,B000FACFIA,A1TTGEM50SIS2R,5,"Licorice Scottie Dogs, Red",I love the Gimbals Red Licorice Scottie dogs I purchased from Candy Crate. The price per pound was less than I paid from another source and the purchase qualified for free shipping. I'll be back...........for more when my supply is gone! +497,1351209600,B0019GZ7Z2,ANSBPV2CZVZ39,4,Great product,"This is a wonderful flour to use. low carbs, and full of nutrients. I dont use it though because it has a very strong sweet coconuty flavor and I am not a coconut kind of person. If I DO add it, it is a minute amount. But defintiely number one flour to buy and use..even for baking for your doggie cookies. I only gave it 4 stars cause of the taste." +498,1351209600,B0049K99RW,A1Y73Y4VX3AJMZ,4,Nice traditional chai,"I got hooked on this chai when I decided to give up coffee. It still has a little bit of caffeine, but much less than coffee does. It's nice and spicy (you really get the flavor of black pepper) and actually easy to prepare. Initially, I thought it was too complicated to boil water and then add milk separately, but it allows you to adjust to your own tastes. I usually add a little more milk than instructed to cut down on the spice and add a little more creaminess. The thing I really like about this chai mix is that it's not sweet at all. If you want sweet, you add your own sweetener - I usually use a spoonful of white sugar or honey. After drinking this stuff, I tried some pre-sweetended mix, and there was no comparison. This stuff tastes ""real"" and without chemicals or preservatives." +499,1351209600,B0024NUM7W,A1SFA2BYES0OH,3,"eh,,ok, but...","I love popcorn, and this product is good except for the fact that it does not and will not give you the taste that you are looking for that you get from movie theaters. Even with the matching seasoning salt, it doesn't do the justice. But its ok,just not buttery at all." +500,1351209600,B000OH97Y4,A25QGGBI6NGHNY,3,Trying a different food,"Because our Rottweiler has some skin issues, we are trying the ProPlan Selects Natural Salmon and Brown Rice food. We are beginning our 3rd bag via subscribe and save. So far, our dog likes it and we haven't had enough time to know if its doing better than the Blue Buffalo we used before. I am thinking of adding Salmon oil.

The only negative we have is the kibble is small. My dog sometimes gets choked on the little kibble, so I am going to try and stick with this form, but find a larger kibble. Overall, this is a great food." +501,1351209600,B0006345OI,A21YJCM7MR97BS,5,fine for 13 y.o. doggy,"My Am Staff is about 13 years old and is a very ""food-driven"" dog. He seems to like this version of Eukanuba just fine, although he is not a picky eater at all! The kibble seems to be a good size for him; some brands of ""large dog"" food are twice as big, which might be hard for older guys like mine!

The price of these 30 lbs bags has gone up from the $40 range to the $50 range, but I know it is better for my dog than the Pedigree that is readily available at Smart & Final, so I stick with this Eukanuba.

Plus, you all know the benefits of feeding your dog higher-quality dry food when you go out for a ""walk,"" right? ;-)" +502,1351209600,B005H7WARC,A2L3AP3898XNDI,5,Great stuff,A co-worker recommended that I try Coconut Oil to make my hair softer and less dry. After a little resource of my own I purchased some. It was the miracle hair product I needed. It has been 2 months and my hair has grown soo much. Its healthier and softer than it has ever been. +503,1351209600,B00317HLQA,A3AOK34N9VZ7HY,5,special k fruit krisps. Blueberry are great,"Special K Fruit Crisps, Blueberry, 10-Count Bars (Pack of 6)Purchased these for a drive in the morning breakfast food with coffee. Love them. They taste like mini-poptarts for adults. Great try them. Only 100 calories." +504,1351209600,B000H7LVKY,A3GZ140SEBF9GI,5,Yum,"This is my third box of the cherries. I love putting a handful on my cereal in the morning. They are very sweet and just a bit tart. They are also great in salads and make a awesome muffin.

I will say that there seems to be some seasonal variation. One of the three boxes I received wasn't quite as tart/sweet as the other two. They were still very good but not ""as"" good." +505,1351209600,B004CQYODW,AM2ADIDTH4SI4,5,Bing,I love that I can still get this product in California even though it is not sold in any stores! Everyone who sees it is jealous that they don't have one! +506,1351209600,B000CPZSC8,ABEPJJLWMXXTD,5,"Plump, juicy vanilla beans","These are plump, juicy vanilla beans! Perfect for ice cream making and making vanilla extract. Very satisfied and will not buy expensive vanilla beans at the grocery store ever again." +507,1351209600,B0015A2W32,A1SEHFQQ30AR0E,5,Perfect,"I was a little worried when I saw the reviews about them arriving melty but there were enough good reviews that I took a shot. They arrived perfectly and within 24 hours of ordering them using two days shipping. If you really want Andes Mints, and like me, you can't find them at any of the local stores around you, then take a shot. As for the product itself, if you're searching for andes mints on Amazon, you are probably already aware of how great they are. Definitely five stars for me for both the products and the shipping." +508,1351209600,B004CYLW7A,A2CMS7BYL8BKP1,1,Yuk! And who goes to Amazon to buy cereal?????,"This stuff tasted like (insert favorite negative adjective that Amazon won't print). I like most cereals but I couldn't put this stuff down, tasted like cardboard something with a half stale texture. Hate to throw 3/4 box of cereal away, we'll see if the birds will eat it - I have my doubts." +509,1351209600,B001EQ5KTK,A3GS4GWPIBV0NT,5,Love this tea,This is a favorite of mine for using over ice. Even bought it to give out as Christmas gifts last year. +510,1351209600,B0042WXFJU,A1X1592EDWIJU4,4,"Tasty, but....","I don't know how they can label these as lentils. ""Lentils"" is the third ingredient listed. The first two are water, and tomatoes. Having said that, it's a nicely seasoned tomato soup with some lentils in it. Just not what I thought I was buying." +511,1351209600,B003VXL0V6,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +512,1351209600,B007689U8W,A3FW29GQ2BNLHI,5,Outstanding!,Fantastic flavor! The dark chocolate is creamy and rich but not bitter or overpowering like some dark chocolates can be. Perfectly balanced raspberry/chocolate flavor. +513,1351209600,B005ZBZLT4,A308RR8J9NJOOZ,5,One of the best!,"I am recently new to the Keurig world. I've tried a handful of flavors since I've gotten my machine, and have been just ok with most of the flavors tried. Fog Chaser has restored my faith in my investment! Try this! Coffee shop taste and at a better price than Keurig K Cups!" +514,1351209600,B004ZY4TK4,A4IL0CLL27Q33,1,Buyer beware,"Nespresso makes GREAT coffee and GREAT machines. I switched over to a Nespresso machine 7 years ago and have never looked back. I save a small fortune every year by making my lattes at home.

That being said, the Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here)." +515,1351209600,B005ZBZLT4,AAMUNRK134Y5P,4,"Product is good, but....","I like the product and the price point, but for me, the flavor was very strong and overpowering. Perhaps I should have figured this out from the "fog chaser" name?" +516,1351209600,B004UGNT6M,A3KVJQZM7GNBEK,4,a little too powerful!,"maybe it's because i'm a vegetarian who eats really healthy (as in not a junk food vegetarian--basically, i get a TON of fiber in my day to day food already) but my gastrointestinal tract just can't handle these fiber one brownies! they're so delicious and low calorie that i want to eat them all day long, but if i eat one, i'm strapped to the toilet all night long." +517,1351209600,B0002DGRZC,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +518,1351209600,B0061IUIDY,A36MS27KAA5S26,4,"Nice tea, not as strong as the stuff from the U.K.","I love all sorts of teas. My friends know this, so when they travel they often bring me teas from overseas to try. Years ago, a friend gave me some English Breakfast Tea from her trip to Britain. What a full-bodied tea that was! When I had the opportunity to try this I jumped at it, assuming it would be identical. Although close, this is not quite as strong as the tea my friend bought in London.

I do like the blend of Ceylon and Assam. It has that nice zing that cuts through a hearty breakfast, like the traditional English fry-up, but still tastes delicious with milk and sugar or honey. Be careful not to oversteep, though, or it can get quite bitter." +519,1351209600,B0002DGRZC,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +520,1351209600,B007JTKEQK,A1DOMJI7GXGPNY,5,Ain't no coconut water better than Sun Tropics Coconut water,This is like young coconut in a can! It tastes like a young coconut freshly picked. Has the electrolyte of Gatorade without all the unnatural sugar and sodium! How can you beat that? +521,1351209600,B003WEFSAI,A37O0JPLJ8BOXP,5,Drink mix,We love this drink mix it taste delicious and impossible yo find at the market in town. Everyone else loves it too! To solve the Delia now we just order a case! +522,1351209600,B006PWRY9C,A3ETT8JLXQBJZR,5,This is a Wonderful Wine,"I really enjoy this wine! I was a little skeptical about it at first because it is so inexpensive, but I tried it at a wine tasting and I got hooked! It has a wonderful favor and it actually has a taste of red velvet. This is a great wine for any occasion, but especially for the holidays. And even though it has the taste of red velvet, its not a sweet wine like a port. I've also seen this wine available at BevMo, Costco, Bed Bath & Beyond and World Market. Cheers!" +523,1351209600,B003ZFUYPI,ARCGKF8PS7JBI,5,ultrax3,"Pleased with product. Cornstarch and Wondra for thickening left lots of lumps in gravy which took alot of time to blend out with my emulsion blender. Ultratex as thickening agent made for a nice silky gravy. Whatever you are trying to thicken, best result was when liquid was cooled off or cold." +524,1351209600,B005WBETRC,A15LVXQI2YXB4Z,5,You Can't Get These in The Stores Around Here.,"My receptionist wanted some of these but I could not find any around here so I ordered them. They are what they are and she was thrilled that I took the time to do that for her.

Take care of your people and they will take care of you.

Meanwhile, the US economy slowly collapses, dragging the rest of the world with it.

Next year, Pop-Tarts will be $1760.00 for one package of two. But the government never promised us free Pop-Tarts...only free cell phones.

I still haven't gotten my free cell phone but I got a great cell phone real cheap right here on Amazon.

Amazon keeps its promises...the federal government does not. We see who should be running the country. Write in Amazon.com when you vote for president this year." +525,1351209600,B0002DGRQ6,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +526,1351209600,B000ET4SM8,A1F0TERGQZ746P,5,Homemade Vanilla Extract,"I have always bought my pure vanilla extract in Mexico, but got a tip from one of my clients that it was crazy not to make my own. I bought two bags of vanilla beans, slit them down the middle, scraped out the ""caviar,"" cut the beans into fourths, crammed them down into the bottom of a dark wine bottle, followed by the ""caviar"" and followed it up by pouring a really nice vodka - in my case, Finlandia, which I got in the duty-free store on my last cruise on Holland America Line - and corked the bottle and shook it every day for a week. The instructions are to now shake it once a week for the next six months. I am now at the end of the second week and the fragrance of the vanilla is absolutely intoxicating. You can't help but open it up every once in a while. It is getting darler and darker by the day and supposedly, making your own big bottle of vanilla extract will last ten years. What a great tip my client gave me and I'm forever grateful to her AND to J. R. Mushrooms for providing such heavenly vanilla beans. It'll be hard not to Dan some behind my ears'" +527,1351209600,B0002DGRQ6,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +528,1351209600,B009NIF7BM,AG4JL2SKX22W5,5,AMAZING FIND!!!,"I am a stay at home mom of two small kids and am always looking for good organic products to cook with for my family. I came across this one and was so thrilled! My son likes to eat foods with flavor and this oil enhanced the taste of my pasta dish while still being healthy. My son ate it all up! I can't wait to use it on more dishes! I would definitely recommend this product!! It is also excellent at the end of the day, once the kids are in bed, to use as a dipping sauce with some bread and your favorite glass of wine." +529,1351209600,B0007A0AQW,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +530,1351209600,B008O2EHNC,A11X0ENDTFGCEH,5,"Enjoyable, quick cups of coffee with no waste","My mother loves this coffee and the pods fit her coffee maker. It is hard to find pods that do work for it, so we have a standing order for this brand. She can have one or two cups, and go on her way. You just can't beat the ease!" +531,1351209600,B008JKTH2A,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +532,1351209600,B001P3PR5Y,A3QSIS4LFYP2LW,5,these do the job,"I bought the CET Veggiedent chews for one of my dogs who didn't do well with the regular CET chews. He would just swallow big chunks and that was potentially dangerous. He likes these just as much and spends more time actually chewing, which is great for his teeth and I don't have to worry about large pieces of rawhide becoming obstructions." +533,1351209600,B001BOLD0K,A25DQ9L3W2MKJZ,4,Great for Birthday Goody Bags,Kids loved the light up rings. I used them to fill up their goodie bags. Great effect at the dark skating ring. +534,1351209600,B0064KO16O,A1K2SU61D7G41X,5,very good!!,"just like the runts
great flavor, def worth getting
I even ordered again 2 wks latter (all gone)
just like I remember :)" +535,1351209600,B003U925C4,A2ALLORFJB7DYH,5,outstanding product,try it & we shared with the familys/all han thumbs up!!!!!!!!!!cut it with good lite olive oil /sherry or whatever you like/on meat/chicken & fish $ pork!! +536,1351209600,B0001ES9F8,A2HROKQO0GA5AF,3,Mistaken order...,"When an incorrect order of Senseo coffee pods arrived I opened a bag to try, thinking I would just go with it, and the coffee as labeled was fine...
I just have an addiction to hazelnut, and I will probably offer the one that came to guests and friends who prefer the unflavored
variety...I do appreciate the refund..." +537,1351209600,B004GU3YXU,A3H7JIO72M8MB,3,Pouch was ripped,"I love this product and order it frequently. Usually it arrives in a timely manner and in good condition. When I opened this last shipment I found some hemp seed scattered throughout the box. I carefully removed the first of two pouches and found a 1"" rip in the middle of the front of the bag. Most of the product was still in the pouch and appeared fresh and undamaged so I transferred it to a container. The other pouch was intact. I hope this is a one-time occurrence, and I will be ordering this again when I need more. More care needs to be taken to assure that the pouches are handled properly and that they are all in good condition when packed." +538,1351209600,B005K4Q37A,A3TXT588J6OR0Y,5,Love this stuff!!,I Have been ordering this k cup cappucino drink for awhile now and have never had a problem! Love it tastes good! +539,1351209600,B005HJH5K2,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +540,1351209600,B001BMDERC,A2737AE47DKEAN,5,Deee-licious...and NO heartburn!,"Regular semolina shells give me heartburn that have killed 2 horses, bless their hearts.

You won't have the spike in insulin, then drop, causing you to want to sleep for a few hours.

The shells come in a large plastic bag inside a non-descript box.

Freshness, thanks to putting them in baggies, was as good on the 1st day as on the last day, which, coincidentally, was 2.5 months later!

Whole Foods would charge at least twice this much, probably more.

No heartburn. Plenty of shells at my beckon call. Great price.

You're welcome." +541,1351209600,B008K9TOU0,A3AE4G41HPLMP,5,Newman's own Organics Decaf Cups,"newman's Own Organics Special Decaf hasGreat flavor,not bitter at all.Excellent! Would definitely order again.Wish price was a little less pricey." +542,1351209600,B005CJUAN6,A3ETT8JLXQBJZR,5,Tobin James is Excellent!,"Tobin James is an excellent wine, and this one especially! My husband and I have enjoyed a few Tobin James merlots. It's difficult to find such good wine at such a reasonable price. If you ever have a chance to go to the Tobin James tasting room in Paso Robles, I highly recommend it! Cheers!" +543,1351209600,B004TEVTJO,A1XG72H5E5YJR8,5,Awesome,They arrived before the expected time and were of fantastic quality. Would recommend to any one looking for a awesome treat +544,1351209600,B005YVU4A6,A2LU545SISQOJ8,4,Chike!,Just tried the orange and iced coffee this morning and really liked them both! I am going to place my order today! +545,1351209600,B0046H30M8,A2D1FQG906TV47,4,great soup,"Best soup mix I've tried. I love making soup, and this is the best tasting and easiest ever. Try the chicken and mushroom recipe variation on the package." +546,1351209600,B000EEDJGO,ANH6SKT74AFPL,2,Ain't what they used to be..,Big let down. I loved these as a kid- they aren't the same. Dry and sort of tasteless by comparison. Bummer. +547,1351209600,B005K4Q4LK,A3TXT588J6OR0Y,5,Love this stuff!!,I Have been ordering this k cup cappucino drink for awhile now and have never had a problem! Love it tastes good! +548,1351209600,B0029NVPLE,A3RKYD8IUC5S0N,2,Messy and apparently undelicious,"My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves the little meat-like bits as dry as a bone. It feels like saving money, but not if your cat is only gonna eat cornstarch gravy and turn her nose up at the meat by-products. It's probably fine for a grocery-store food, but a better quality food will make your cat happier and maybe healthier. Also I can't imagine gravy has got the nutritional content my cat needs.

Pouches seem like a great idea compared to messy, annoying cans, until you can't figure out a way to get the stuff out of the package without getting gravy all over your hands.

I switched to Merrick cat foods and my cat is happier--she doesn't leave lots of uneaten bits." +549,1351209600,B002AQL00G,AEWJD0G85FPSG,5,Betty Crocker Gluten Free Chocolate chip cookie mix,The Betty Crocker Gluten Free chocolate chip cookie mixes are delicious and easy. When buying these particular mixes here in bulk of 6 boxes they came out to be so much cheaper than buying them in my stores in my area. So delicious sweet treat and cheaper price is a steal!!! The Chocolate cake mix and brownie mix are definately NOT cheaper to puchase this way here for some reason. +550,1351209600,B002GWH7O2,A3PNBZ60XRKZFP,4,pepperminty tea!,"This is very pepperminty, almost spearminty tea - you need very little for a good refreshing kick :) The bag is huge and the price can't be beat. However the leaves are crashed, they are not full tea leaves as advertised. There are also some white flakes here and there - stems or may be flowers? So 4 stars for that." +551,1351209600,B004VLV7NS,A1W6E1FN0745L7,5,Can't Go Wrong With Bob's Red Mill,"I was on a mission to reduce my cholesterol through healthy eating and improve the quality of my breakfast choices. I've tried several of Bob's Red Mill cereals and they are ALL absolutely fantastic! This cereal has a delicious flavor and creamy texture. I usually add some dried fruit and raw almonds to give it another flavor dimension. Even by itself it is superior to ""quick"" oats and other grocery store breakfast choices. On a side note I enjoy supporting the little guys and a simple Google search will show you what a good company Bob's Red Mill is. Kudos!" +552,1351209600,B001D0DMME,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +553,1351209600,B000UBH9YE,A1CM50V04TUUPF,5,Love My Senseo!,"I I haven't had a bad cup of coffee yet. So far, my favorites are the Decaf, Columbian, and Breakfast blend. I only drink one cup of coffee a day, so this type of coffee maker is perfect for me. Especially since I only like coffee when it's hot and fresh. My guests love it too!" +554,1351209600,B001EQ5IPQ,AA2104NO2VE8H,1,Extremely dissapointed,"Hi,
I am very disappointed with the past shipment I received of the ONE coconut water. 3 of the boxes were leaking and the coconut water was spoiled.

Thanks.

Laks" +555,1351209600,B000LKU3K6,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +556,1351209600,B000OIXE10,A2V1J3JT5OOZFO,5,Very Tasty and Better than others,I bought these and the Eden brand and find these taste better. So I recommend the Good Sense brand. These are moist and the Eden's are more dry. Both appear to have been made in the US but it is hard to really know. Great snacks. Both come in reclosable bags. Good Sense gets my vote. +557,1351209600,B000H0ZJIG,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +558,1351209600,B0006UFY46,AEEVDQNVIH4SJ,5,Great Salmon,"This Salmon Is The Best! I Try To Make A Small Variety Of Salmon Dishes, But For Me, Salmon Patties As Nice As My Mother Used To Make Is My Favorite!" +559,1351209600,B000F4F95M,A2ET4NNICR9T7R,2,Didn't like it,"Quite personally, I didn't like it. For me, it had no flavour at all. It only tasted better when I added some nutmeg (ran out of cinnamon) and milk. On the brightside, it did help me get rid of my cold :')" +560,1351209600,B0038B3AAK,ADDJMSYKBLBP8,5,Great Prioduct,"I make a green drink with this product plus yogurt, water, frozen mixed berries, wheat brain and flaxseed. I sip it thru out the day and it helps me to eat less. Very Convenient!" +561,1351209600,B0061IUIDY,A2L6QS8SVHT9RG,4,Good standard English breakfast - decent brand!,"This English Breakfast tea from Higgins & Burke, is good: it's basic, good tasting black tea (English Breakfast blend) and is tasty. I wasn't blown away by the flavor, but it was good: I enjoyed the tea, it brewed up quickly in these nice tea bags (I recommend about one minute of brew time), and then added a splash of cream: it was quite nice!" +562,1351209600,B000KEPBBY,A3GS4GWPIBV0NT,3,Ok but not what I thought,"This is basically split peas, lentils and small soup pasta. I guess I expected to find more dried vegetables, perhaps seasoning of some sort but this is a VERY simple base which you will build your soup from. I think a better names for this would be 'split pea soup base' or 'split pea and pasta'. With a more accurate name I would give it a higher rating because the quality was good but I felt a little misguided by the name and description proveded when I received my order." +563,1351209600,B0001HAEKI,A289SYWE4BHCF,5,Good stuff,"Very good product, helps with a lot of ailments. It's great help stocking up on vitimain that you are deficient in." +564,1351209600,B004H4P6VI,A1V7KJHE8SKJ4G,5,BEST GRAVY EVER,"Love this gravy mix for a quick meal. Worth the price. Really good over mashed potatoes. Although I like making my own gravy, this is the best replacement you can find for homemade." +565,1351209600,B004XGCWY4,AR00HXFDJAHG4,5,Awesome,I can't find this in the stores and thought I would like it. So I bought it and I can tell you that I love it. It tastes just the way you're imagining it tastes when you read the ingredients... delish! +566,1351209600,B0013JC18G,A1P95EBZKAVYCB,3,Small for the price,"Tastes ok, but what you get for the price, it is a bit disappointing. By the time you pay for shipping, you are a loser. Too bad my hubby LOVES peach flavoring." +567,1351209600,B002UQ17Z4,A1F0634GVMIIHA,5,Delicious rooibos chai,"This stuff is great for my non-black tea drinking friend.
Very nice balance of a spicy blend. Perfect or the cooler weather, autumn, winter, early Spring. Fireside name changed to Firelight but both images are perfect for imagining sitting by a fire sipping this, or just warming your hands around the cup. The bagged version must be ground; this version has whole cloves and kind of prickly pieces of spicy leaves, but is fine to steep as is. Really worth the cost." +568,1351209600,B0029NVP82,A3RKYD8IUC5S0N,2,Messy and apparently undelicious,"My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves the little meat-like bits as dry as a bone. It feels like saving money, but not if your cat is only gonna eat cornstarch gravy and turn her nose up at the meat by-products. It's probably fine for a grocery-store food, but a better quality food will make your cat happier and maybe healthier. Also I can't imagine gravy has got the nutritional content my cat needs.

Pouches seem like a great idea compared to messy, annoying cans, until you can't figure out a way to get the stuff out of the package without getting gravy all over your hands.

I switched to Merrick cat foods and my cat is happier--she doesn't leave lots of uneaten bits." +569,1351209600,B001D0DMMY,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +570,1351209600,B005LURGKG,A1KD8NJPZ01R37,5,If you like Popsicles..,"They slush. All others turn into a frozen stick. A tasty piece of ice. Well, I don't like crunching ice, but I do like these because they freeze in a way that makes them not rock hard.

Probably a chemical that prevents the ice-cube effect, that is no good for me, but I don't care, they are just too tasty and they can be eaten without using your teeth.

So good." +571,1351209600,B006N3IG4K,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +572,1351209600,B005UGSR72,A382RNG86OC7N0,5,Tully's Coffee,Tully's coffee is the smoothest coffee on the market. The Kona blend is our favorite. The price is well worth the enjoyment we have with every delicious cup! +573,1351209600,B003JA5KKS,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +574,1351209600,B005FQH3B8,A3RKYD8IUC5S0N,2,Messy and apparently undelicious,"My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves the little meat-like bits as dry as a bone. It feels like saving money, but not if your cat is only gonna eat cornstarch gravy and turn her nose up at the meat by-products. It's probably fine for a grocery-store food, but a better quality food will make your cat happier and maybe healthier. Also I can't imagine gravy has got the nutritional content my cat needs.

Pouches seem like a great idea compared to messy, annoying cans, until you can't figure out a way to get the stuff out of the package without getting gravy all over your hands.

I switched to Merrick cat foods and my cat is happier--she doesn't leave lots of uneaten bits." +575,1351209600,B0058AMY10,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +576,1351209600,B004ITWDKO,A3934PPUIWRZVX,4,"Much, much too expensive!!","I ordered these for my silky terrier and he absolutely loves them. However, I see the price has gone up again since I placed my order just last month. I think the seller may be taking advantage of the Chinese made jerky treat scare. These are just much, much too expensive. I would not purchase again. A really small bag for a really big price." +577,1351209600,B0012XBD7I,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +578,1351209600,B0032CJY6E,AMUFDD2T1UU3W,5,Great service for hard to find product,"I purchased this along with Applemon and am VERY happy with how promptly it arrived and am THRILLED that I can now just order this right here on Amazon instead of driving myself crazy looking for it in stores that don't carry it anymore. The price is great, too. Funky Monkey has had me hooked for years. What makes it different from other freeze-dried fruits out there is that it is actually full of flavor." +579,1351209600,B005EF0HZ4,A1JXSMYVHFPWM1,2,Disappointed,"I have not been able to find the Maple flavor cookies in my area anywhere so I was happy Amazon had them available for order. Amazon:Always my friend!
However,the cookies had a nutty flavor I guess but just Not Maple. OH,how I tried to taste the maple flavor but it is not there! I love maple anything, ice cream etc but these cookies just did not measure up so all those calories for nothing. Lucy's does make a good cookie but this flavor was a disappointment. No wonder I could not find them!" +580,1351209600,B005UGSR72,A1PFJU470P7MWW,4,"Very good, not great","Tastes good, but not sure you can really taste the Kona. Makes for nice cup of coffee, but I wouldn't pay a premium." +581,1351209600,B005K4Q1W2,A2TZKSY1ZWPOU9,5,Great Hot Cider!!!,It is hard to find much of anything sugarfree that really tastes good but this apple cider is the best. I also love the regular hot apple cider in sugarfree form. +582,1351209600,B0058CGLH6,A3QRR5YN6ALFPG,1,If you like Campbells Pepper pot soup then don't buy this!,"Not at all like pepper pot soup, it is just a crab soup that has very little flavor and in no way should be called pepper pot." +583,1351209600,B005FKRTN6,A382JIHUMW9B63,5,Best Ice tea we've had!,"We go to a local mom and pops Italian restaurant in our neighborhood and always loved their ice tea. One day we asked the owner what they use to brew it with and he told us Calypso by Mighty Leaf. He even gave us a sample bag to take home with us. Anyways, we have been ordering it ever since and love it. If you are an ice tea lover, this is the best you can use. It has this subtle kind of passion fruit like after taste.. which compliments every time you take a sip and exhale." +584,1351209600,B001B4VOQI,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +585,1351209600,B001B4VOQI,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +586,1351209600,B005EF0HZ4,A2A5Z7LC91EFVA,5,Gluten Free Kid,"We LOVE Lucy's cookies! The Maple Bliss are wonderful, just too bad they are so hard to find. We went through our order in no time and will be reordering soon." +587,1351209600,B003MP12MU,A2RCQKSH9Y972I,3,Not very hot,"These are not very hot.

They are about as hot as cayenne flavored peanuts.

No ghost chile heat level.

The Hottest Fn Nuts are much hotter and better flavored.

These are mild enough for children, and would make a good gift for someone new to hot snacks, but it is not likely to please chileheads." +588,1351209600,B003B3OOPA,A1IDRPIHIMFU3Z,5,Ezcema Treatment,My 7 mo old had ezcema from our laundry detergent...a little coconut oil healed him right up! I even blogged about it while doing research...here's my link if you'd like to read more. [...] +589,1351209600,B003194PBC,A2FSDQY5AI6TNX,5,My furbabies LOVE these!,"Shake the container and they come running. Even my boy cat, who isn't big on ANY food, loves these! A winner in our house! Two paws up!" +590,1351209600,B003G52BN0,A2O4V3MCB7EPPU,4,One of my favorite K-cups flavors,This is one of my favorite k-cup flavors. The coffee roast is mild and has just the right amount of coconut flavor. It is not over powering or cloying. I like to brew this on the second to largest size setting (on my machine) and add one splenda and liquid carmel creamer. It sounds like a weird combo but it's really good. It's my Saturday morning go to coffee combo. +591,1351209600,B004NZ0JIQ,A2K082DNME4G2P,5,Delicious!!!!,"A coffee treat. Now that my husband and I drink this coffee, there is no going back to the plain stuff ;)." +592,1351209600,B003QNJYXM,AYTSBGA5A3UWI,5,A God Sent Remedy!!!,I love this stuff! It's a God sent Remedy for hangovers!.... I understand the health concerns many people have and I can also see that this can be habit forming. I make sure I only take one every so often and not everyday. +593,1351209600,B005HI557S,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +594,1351209600,B004EHXOWG,A2GHZMH24WP4I4,3,Great Product not so great USPS delivery,"I use a lot of Clamato juice for mixed drinks and have gotten several orders from Amazon at a great price with good service for the subscribe and save. Unfortunately the postal carrier decided not to leave this shipment due to rain. Fine if you can't bag it than leave a delivery notice and re-attempt. Not so. Who knows how long it would have sat in the local post office if I hadn't have tracked the package. I finally called and after getting a bit of a run around they agreed to deliver it the next day if it didn't rain. It didn't and I had left instructions for the carrier in case of rain. Still all in all my delivery experience has not been an issue with Amazon.

Now, as I've found several other subscribe and save items, the price just went up so I can buy it cheaper locally. Really disappointed as I like the convenience of having it delivered. This product has had no price increases locally in well over a year so I'm a bit confused why Amazon needed to raise it's price." +595,1351209600,B000G1CG50,A3VBVJ6UG09MFC,5,Yummy Chummies,All my dogs love them. Healthy treats. Not great for training as they crumble when you try to break them into pieces +596,1351209600,B003YZ3MN0,A10J6HSUU9ZAGJ,5,Best beans your money can buy,"These are, hands down, the best jelly beans on the market. There isn't a gross one in the bunch and each of them has an intense, delicious flavor. Though I hesitate to pick a favorite, I have to say that I love green apple, a rare flavor in drugstore jelly beans. Each flavor tastes like the fruit it is modeled after, not like the tart candy version of that fruit. I even love the cherry flavor, and I hate cherry flavored candy. I don't find them similar to Starburst candy, so don't let that put you off if you're not a fan. Overall, they are delicious, perfectly-sized, crunchy yet smooth little morsels of fruit flavor." +597,1351209600,B001ELJJRY,A3UCQK5288MQ98,5,Great wine,"I bought this wine kit because I wanted to find a nice white wine that I could let age a while before I gave it to any family or friends. When this wine was complete, it tasted a little thin to me. However, 3.5 months of aging brought it a lot way and it tastes wonderful. I highly recommend this kit if you just want to make a batch of wine to age and enjoy down the road. I can only imagine how good it will taste in another 6 months to a year." +598,1351209600,B000LKTXNY,A2J3PR6J36UTVH,5,Michael Seasons Unsalted Potato Chips,"These are the best chips ever! They are unsalted and being on a low sodium diet critical in allowing my husband and I to eat chips. They are all natural and low fat which is a great extra bonus. Additionally they have the BEST flavor...you really taste the potato flavor and not the salt! I would choose these chips over ANY chip on the market today, salted or not!! These chips as well as ANY unsalted chips are very hard to find in the stores so THANK YOU Amazon for selling them." +599,1351209600,B001AS1A4Q,AYTSBGA5A3UWI,5,A God Sent Remedy!!!,I love this stuff! It's a God sent Remedy for hangovers!.... I understand the health concerns many people have and I can also see that this can be habit forming. I make sure I only take one every so often and not everyday. +600,1351209600,B0039JXQ1Y,AUEA2NJHMK9DF,4,Like this tea,This tea has a nice flavor although I wish it was a little stronger. I have brewed way it states and even tried letting it sit longer to get a stronger cup but it didn't work. Am pleased with purchase and flavor overall. +601,1351209600,B0099HD3YA,A4M1YK1RDM82I,5,A great coffee experience,"We have used pretty much every coffee brewing method, but I think for home or office use the Nespresso is best. We also have and use a Kurig. For larger cups of coffee we use it. But for the small tasty concentrated cups (expresso) we always use the Nespresso. The variety pack has a good variety of blends; coffee tastes fresh. In combine with the machine (we bought one without all the bells & whistles), it is simple to use and clean. My office bought one of the nespresso machines; then I bought one for home. It came very well packaged and with good set up directions. To be a perfect experience, the capsules would be more readily available -- you will find the machines, but not the capsules at many places." +602,1351209600,B000JZDY0Y,A3JJXE7D548PRX,5,Absolutely incredible and intense milk chocolate flavor!,"Hands down one of the best milk chocolate bars out there. This can only come from the UK! Their chocolate is incredible. The bar just melts in your mouth and, of course, flakes all over the place." +603,1351209600,B003Z6ZGZU,A15FF2P7RPKH6G,5,got this for the daughter,all i have heard since she got a kuerig is why doesn't every one keep pumpkin spice Coffee in the holders. so this is what she got from me and what she gets for Christmas. +604,1351209600,B007OSBGOK,A10QOESY9VJ9K,5,So many varieties!,I love the assortment. Different countries of origins. It is fun to taste the differences. So good. My favorite is the Peruvian. +605,1351209600,B001AS1A4Q,A2E2F8WSUB33VE,5,Excelent,"Good price, flavor, fast delivery And good presentation overall. Very eficient when playing golf, it really gives extra Energy and it helps to achieve a better game" +606,1351209600,B006N3I29E,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +607,1351209600,B001UUOP8C,A3MVQ6NM2JCCNF,3,Doggy snacks,"My dog loves these snacks. However they are made in China and as far as I am concerned, suspect!!!! I found an abundance of American made ,human grade chicken dog snacks. Just Google for them." +608,1351209600,B004FQYYFM,A2YMQWU9WDPNEU,5,Great!,"Tastes great, really nice that samples came with, convenient. Not as great as loose leaf (personal favorite). I thought it was a little pricey but I re-use each stick at least once so that helps. I would buy again or suggest to others. Aa a matter of fact, I've given out 4 at work and everyone loves them!" +609,1351209600,B001BS4G6O,A2I606SLG4SWHF,5,Perfect for Giving Medications to Our Dogs,"Every month, we give our three dogs (two Aussies and a Golden/Flat-Coat Retriever mix) pills for flea/tick/worm repellant. In addition, one of our Aussies needs daily thyroid pills. We found Pill Pockets is the very best way to do this. Opening the mouth wide and trying to put the pill waaay in the back of the mouth before clamping the jaws shut and massaging the throat until the poor dog swallows is a bad thing to do to a beloved pet. It's bad because Pill Pockets make this chore a happy and delicious time for the dog involved. The Pockets (in the pet store we use) come in chicken or beef flavors, so we alternate flavors every time we buy a new supply. Everybody is happy, and the dogs get the required meds." +610,1351209600,B008JKSJJ2,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +611,1351209600,B003Z6ZGZK,A2GW6JUVTALDPV,1,I did not receive my order,"I placed my order through Amazon and after about 10 days inquired about my order because it had not shipped. I received an email back from Starbucks that my order had been canceled. No explanation at all, just that it had been canceled. I checked back on Amazon and see that this item is still available but they had raised the price.

So instead of honoring the price they just blew me off like the sale never happened. Shame on Amazon for allowing a seller to do this.

Bottom line, Amazon has gone down a few points in my eyes. Greedy Starbucks can keep their coffee." +612,1351209600,B000LKTXQG,A2J3PR6J36UTVH,5,Michael Seasons Unsalted Potato Chips,"These are the best chips ever! They are unsalted and being on a low sodium diet critical in allowing my husband and I to eat chips. They are all natural and low fat which is a great extra bonus. Additionally they have the BEST flavor...you really taste the potato flavor and not the salt! I would choose these chips over ANY chip on the market today, salted or not!! These chips as well as ANY unsalted chips are very hard to find in the stores so THANK YOU Amazon for selling them." +613,1351209600,B007IEGR9O,A8M34GMW5GF6D,4,girls bettlejuice costume,Fit perfectly. Size is true. Expected exactly what was described online and that's exactly what i received. Would definitely purchase another item in the future. +614,1351209600,B008JKU2CO,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +615,1351209600,B003QNJYXM,A2E2F8WSUB33VE,5,Excelent,"Good price, flavor, fast delivery And good presentation overall. Very eficient when playing golf, it really gives extra Energy and it helps to achieve a better game" +616,1351209600,B007IEGR9Y,A8M34GMW5GF6D,4,girls bettlejuice costume,Fit perfectly. Size is true. Expected exactly what was described online and that's exactly what i received. Would definitely purchase another item in the future. +617,1351209600,B00915F4HY,ADG5OH71NP8JX,5,Dreams do come true! You can now eat Mitt Romney's bowel movement!,"Year after year I would lie awake in bed, thinking, hoping, wishing for the one day I could purchase a likeness of a major political figure that actually defecates candy. Well, every once in awhile, dreams do come true. This defecating Romney doll is all I hoped for! Unlike the real Gov. Romney, though, who passes actual fecal matter (on a rather regular schedule, I'm sure), the doll empties its bowels of candy! (it should be noted the candy, thank goodness, is not fecal flavored). This will share a treasured space with my NASCAR toilet seat and my mounted rubber fish that sings Roy Orbison tunes." +618,1351209600,B008FXKOI2,A3RKYD8IUC5S0N,5,Tasty and works!,"First off, my cat HATES regular Greenies (the big crunchy ones) and won't even try to lick them. Any flavor. But my big fluffy Himalayan was hacking up stinky furballs in unreachable places, so when I saw these at the pet store I bought them on a whim.

She loves them! I don't think she even chews the things, she inhales them so fast. Tuna treats are ok but chicken were more popular around here. She likes these better than the Temptations treats she had before, and I am convinced that these are somewhat healthier.

The pouch recommends 12 treats a day, all at once, or even more for my big-boned cat. I usually do more like 5-6, because that many treats seems excessive (she would love it though). Either way, she hasn't had any hairballs since. I am not positive about the causal relationship, but I suspect these did the trick. They're great!" +619,1351209600,B007PA32L2,A15FF2P7RPKH6G,5,got this for the daughter,all i have heard since she got a kuerig is why doesn't every one keep pumpkin spice Coffee in the holders. so this is what she got from me and what she gets for Christmas. +620,1351209600,B000RQMQAO,A3KFOZ5D1KQLIU,5,good tea,"The tea is very mellow, not strong at all. I expected it to be bold and strong. According the the Number 1 Ladys Detective agency it was supposed to be soothing, relaxing, and it is that" +621,1351209600,B000LKZ7OI,A2J3PR6J36UTVH,5,Michael Seasons Unsalted Potato Chips,"These are the best chips ever! They are unsalted and being on a low sodium diet critical in allowing my husband and I to eat chips. They are all natural and low fat which is a great extra bonus. Additionally they have the BEST flavor...you really taste the potato flavor and not the salt! I would choose these chips over ANY chip on the market today, salted or not!! These chips as well as ANY unsalted chips are very hard to find in the stores so THANK YOU Amazon for selling them." +622,1351209600,B0029NSI46,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +623,1351209600,B0000CFXYA,A3GS4GWPIBV0NT,1,Strange inflammation response,Truthfully wasn't crazy about the taste of these but reason for the low rating is more to post a heads up warning. I noticed a trend in drinking this with a headache response. From an old neck injury I could get headaches from reinjuring or aggravating it. This tea triggered that same response which was very surprising. It made me think that many people could be triggering similar inflammation without ever tracing it back to the tea. So just heads up if you are susceptible to this type of pain. +624,1351209600,B0001BH5YM,A1BZ3HMAKK0NC,5,My favorite and only MUSTARD,"You've just got to experience this mustard... This is the queen mother of all mustards and so worth the money. I will actually crave this and eat it straight from the crock W/ a spoon, so you can only imagine it on a sandwich. I use this in many of my recipes and it makes them so special." +625,1351209600,B0009ET7TC,A2FSDQY5AI6TNX,5,My furbabies LOVE these!,"Shake the container and they come running. Even my boy cat, who isn't big on ANY food, loves these! A winner in our house! Two paws up!" +626,1351209600,B005HI556E,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +627,1351209600,B007KPFTNG,A506HOOCVL8GW,5,BEST cup of coffee I've ever had!,"I thought I'd splurge and try this coffee. It costs much more than other decaf K-Cup options. But I hoped that meant it was better coffee. It IS better coffee. I've never had a better cup of coffee than this. It is excellent when compared to any other decaf or regular coffee I've tried.

If you like BOLD, FLAVORFUL decaf coffee try this coffee and you'll really like it." +628,1351209600,B003SBTUCW,A3MH1RD8BXQKK3,1,No Thanks!,I LOVE the Blue Sky Wild Raspberry but I cannot stand the Black Cherry. It doesn't have much flavor and it has an awful aftertaste. UGH! +629,1351209600,B004GN8NP6,A1GENHMJBIS42V,5,Boring name but great coffee,"Aside from a non-flashy name, this is a great coffee. Very smooth, perfect! If is my favorite at this point, even over other flavored coffee." +630,1351209600,B008LFAS08,A3TB0KS3CCQ1K0,5,Best grinder I have had bar none!!!!,"This is the 3rd meat grinder I have purchased, and the best by far. We make our own raw diet for our cats, so a grinder gets
a real workout from us. We grind at least 40# of meat at a time when we use it. With the other two grinders we had to reverse the grinder several times because meat got hung up. Also, we would have to let it ""cool down"". With this one we have NEVER had to reverse it, and the motor stays cool. We do shut it down several times so we can crack the chicken leg bones with a mallet (we were told to do that by the manufacturer) and we do a bunch of legs at a time. I would recommend this grinder to anyone wanting a GOOD grinder that
doesn't hang up and have to be reversed or cooled down often. This grinder is a real worker, and I would compare this with a grinder costing 3-4 times as much money." +631,1351209600,B0047RQ9M0,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +632,1351209600,B001PQTYN2,A3OTHWG8LLCLMU,5,Great,"If you like a great , hot, sauce then buy this. If spicy with heat isn't to your liking then don't buy it." +633,1351209600,B008GRONV6,A2I606SLG4SWHF,5,Perfect for Giving Medications to Our Dogs,"Every month, we give our three dogs (two Aussies and a Golden/Flat-Coat Retriever mix) pills for flea/tick/worm repellant. In addition, one of our Aussies needs daily thyroid pills. We found Pill Pockets is the very best way to do this. Opening the mouth wide and trying to put the pill waaay in the back of the mouth before clamping the jaws shut and massaging the throat until the poor dog swallows is a bad thing to do to a beloved pet. It's bad because Pill Pockets make this chore a happy and delicious time for the dog involved. The Pockets (in the pet store we use) come in chicken or beef flavors, so we alternate flavors every time we buy a new supply. Everybody is happy, and the dogs get the required meds." +634,1351209600,B004DBS2TI,A1DV7TLJ1HT08H,1,"great product, poor delivery","The coffee is excellent and I am a repeat buyer. Problem this time was with the UPS delivery. They left the box in front of my garage door in the middle of the driveway. Because of this odd delivery location, my wife ran over the box when she backed out of the garage and did not see the box. we lost half of the cups. Thius is the third time I have written about this matter to Amazon with no results. Hopefully someone will respond to me.

fred santaniello" +635,1351209600,B000GAT6NG,A150LY3C1UEV9E,5,"Good quality, great to cook with",We have enjoyed using this product. I like it specially for cooking lightly breaded fish or vegetables. It gives a faint pleasant taste of coconut. I can hardly wait to do some tropical dishes. +636,1351209600,B0007U5J40,AGCJI4YJM3PWZ,5,VERY HAPPY CUSTOMER,If you like sponge candy- and have never tried this before- you are really missing out. I am not able to obtain this product and usually have friends that bring them back to me after holiday in the U.K.

So please that I can these online- +637,1351209600,B001IZIEGS,AYDZMG82XBCPW,5,Great fresh taste,"These are plump, fresh pistachios with a very light saltiness. Great for a midmorning or midafternoon snack. Very few unopened pistachios." +638,1351209600,B005BPVE90,AGZEK96T7WK6,3,"Very tasty, very filling, not that nutritious","I really enjoyed these and was surprised at how much they remind me of a ""normal"" chocolate-oatmeal-raisin cookie. But I don't really feel they should be called nutrition bars, as while they have 28% RDA of dietary fiber per bar, they have only 4g of protein, 4% RDA of calcium and 8% RDA of iron, and that's it; no other vitamins/minerals. When I hear ""nutrition bar"" I'm expecting a bit more than that. Even so, they are tasty and filling and only 200 calories per bar so I'll buy some from time to time for those ""rushed mornings"" when a decent breakfast is impossible." +639,1351209600,B0033GMSTY,A1DV7TLJ1HT08H,1,"great product, poor delivery","The coffee is excellent and I am a repeat buyer. Problem this time was with the UPS delivery. They left the box in front of my garage door in the middle of the driveway. Because of this odd delivery location, my wife ran over the box when she backed out of the garage and did not see the box. we lost half of the cups. Thius is the third time I have written about this matter to Amazon with no results. Hopefully someone will respond to me.

fred santaniello" +640,1351209600,B000PILF24,AMPYE406UY34Y,5,Love It,"First let me say I'm new to drinking tea. So you're not getting a well rounded expert opinion. I started drinking lipton green tea at work and loved it. Small caffeine boost, great flavor, no calories, etc. Read about white teas online so I gave this a try. The price is incredible. The tea reminds me of a tea I drank at a Chinese restaurant when I was young. Brings back good childhood memories, love the flavor. WILL BUY AGAIN." +641,1351209600,B00443Z35G,A3G23SMM1E1KPV,5,Great Swedish Pastries,Svenhard's varity pack pastries are great. Individually wrapped to stay fresh and very tasty. Box of 36 of different varities. Freezes well. I eat one every day that we are at home! +642,1351209600,B00264S63G,A36AUU1UNRS48G,5,"So convenient, for so little!","I needed two vanilla beans for the Love Goddess cake that my husbands adores. So you can spend exorbitant amounts of money at the grocery store for more vanilla beans than you need, or you can order the amount you need with free shipping. Each bean was in its own plastic vacuum package that looked like it could keep for awhile if you needed it to. The cake was, of course, delicious, and my trash smelled great from the two little plastic vanilla bean packages, so maybe you could use them to make something else smell nice." +643,1351209600,B002OVO5EK,A2FSDQY5AI6TNX,5,My furbabies LOVE these!,"Shake the container and they come running. Even my boy cat, who isn't big on ANY food, loves these! A winner in our house! Two paws up!" +644,1351209600,B003BM42R6,ADHJWUUXR5US7,2,Poor germination rate,"I had high expectations of these seeds, but I was disappointed! About half or more of the seeds I planted failed to germinate. On the upside the ones that did start to grow, did pretty well." +645,1351209600,B0002DGRPC,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +646,1351209600,7310172101,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +647,1351209600,B004S0332A,A1P232KPXTRR3C,5,Goodness on all of it!,"I use from the breakfast table to dinner. I like it on eggs, we bake it with chicken or salmon, I even use it as one of my ""secret ingredients"" in my BBQ rub. We keep this on steady supply." +648,1351209600,B000158YDY,A2ZN3J0M6KIML9,4,What a treat!,"Ordered these as part of a presentation on Malaysia as this fruit had left a very positive impression on me during my visit. We gave these to 4th graders who were equally impressed with the exterior soft spikes and the juicy center. The fruits arrived in good condition, just slightly bruised. The kept well in the fridge in a single-double layer covered with a damp paper towel. I had also rinsed in a vinegar-water (1:10 parts) solution to be sure to inhibit any mold (like I do with berries). They kept from Saturday when they arrived to Thursday with minimal browning. I ordered 4 pounds and had plenty of fruits for the 40 kids. I think there were about 55 - 60 fruits all together. It was a fantastic treat and the kids were requesting we bring them again for the Halloween party! I'm sure they'll remember the presentation for a long time." +649,1351209600,B000MAK3R8,A2WWNCU4KG5S0B,5,Best Microwave popcorn on the market.,If you like butter flavor this is the best microwave popcorn available. Sometime you can find this at Walmart and I got tired of looking for it every week. Subscribe and save and i get a case every month for about half the price Walmart was selling it for. +650,1351209600,B0051O6P36,A1VC6419THHIET,5,Good for all cats.,"I just got these treats last week and they're already gone this week. I wish there were bigger bags, but that's not the case. The down side is they're expensive. It doesn't matter to my boys. They love them anyway. I hope that I will find work soon and be able to give my cats the better food they deserve." +651,1351209600,B001EO5RSQ,A33W5JAFGHYRQZ,5,Love this Cereal!,"There is nothing else like this on the market. No GMO, highest fiber of any cereal I can find and high protein. It keeps me healthy. I won't eat any other cereals, mostly junk." +652,1351209600,B0045H264C,A3IYSIAKYOMKTO,5,Wild Honey,"This really is unfiltered honey made from wildflowers, so if you have allergies expect a reaction, at least initially. If you are planning to visit Central Florida on vacation this is a good buy to prep your immune system against the local flora. The flavor is a little stronger than single cultivar honeys, so you don't need as much to flavor your food and drink with. I detect more than a hint of honeysuckle in there. It's tasty, and the price is right." +653,1351209600,B0007A0AQM,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +654,1351209600,B001XWRMAU,A1KWVBDHBG50VZ,5,Outstanding product!.....,"Great flavor.....lotsa "heat"....I use Cayenne almost everyday, and this organic product is so much better than the store bought brands..." +655,1351209600,B0002DGRRA,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +656,1351209600,B000E3ZFCG,A1ABVE0J8C9SHM,5,Unbelievable! the best rice I have ever had.,"I hardly ever write reviews, this rice is so good that I have to write about it.

I live in Hawaii and have never seen this Caribbean rice mix for sale in any store. I came across this while searching Amazon, so glad I gave it a try!.. ""try it"" I do not think you'll be disappointed.

I have added the chopped up chicken as suggested but i also added small chopped onion, it is unbelievable! Another great way to make it even better is try adding fresh Mango while it is simmering or if you cant find it fresh, use canned mango nectar, substitute 1/4 cup of the water for the mango juice. Super Good!. Also instead of 2 1/2 cups water as suggested use only 2 1/4 cups water, brings out the flavor a little bit more I think (2 cups water / 1/4 cup mango nectar)." +657,1351209600,B001E5DXYU,A2POT13FER5L82,4,very pronounced smoky flavor,I have used several brands of this type of tea. All of the other ones had a mild smoky flavor. This one's smoky flavor is much more intense and may not be enjoyed by everyone. +658,1351209600,B000E3ZFCG,A2R5Y7T3JY15I9,5,I love this stuff,Hard to find in the grocery. I buy it by the case online. One box makes four lunches with some blackened chicken for protein. There is something about the sweet pineapple and curry that makes this rice mix delicious. +659,1351209600,B000084ETY,A1HRYC60VTMYC0,4,"Cee Cee LOOOVES it, This I Know","The only reason I am giving it 4 stars instead of 5 stars is for the strange can design -- a substantial amount of food sticks to the inside of the can and in the crevice under the top lip, long before the can is empty, and I have to use a baby food spatula to scrape this off.

That being said, Cee Cee kitty devours this. It is not grain free -- as it does have Brown Rice in it (listed as the 8th ingredient, so it DOES have plenty of meat and fish protein), but the meat as well as the other ingredients more than make up for this. Felidae Canned Cat Food for Adult Cats and Kittens, Formula with Chicken, Turkey, Lamb and Ocean Fish also smells very fresh and not garbagey like some of the supermarket cat foods. And since Cee Cee is battling hyperthryoidism as well as a heart murmur, I want to buy her the best food I can afford. This may be a bit pricey but it is VERY dense, so it goes a long way." +660,1351209600,B004FGWU9O,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +661,1351209600,B000SDO5YQ,A5R3XOLGJG1P5,5,Wonderful taste!,"Very pleased with the quality of the espresso. The pods are sturdy enough to withstand the pressure of the water in brewing - no messy grounds from broken pods to threaten the functioning of the machine. The crema is awesome, taste is smooth." +662,1351209600,B003HFA3XY,A1PLO6OW6O2Z1,1,Not very tasty!,I love Arnold Plamer's and Starbucks has the best black tea & lemonade. I was hooked on them all summer. When I saw a bottled version of this beverage I was so excited. Unfortunately this is not a tasty product at all. I drank 1/2 bottle and had to dispose of the rest of it. Not good at all. Very disappointed! +663,1351209600,B008NDSNH8,A2Z0XFW79HXASE,5,Yum,"Yum, Yum, Yum, Yum... (Munch, munch). Yum! Love it and it tastes wonderful. Works perfect in a whirly-popcorn maker. They best compliment is when the kids ask, can we make another batch, and they like it better than the movie. Our friends have tried it and have asked for what we use as our popcorn recipe. How cool is that!?" +664,1351209600,B005Y10ZMS,A31XW1RTQ4ZG9W,5,South Beach energy bars dark choc,"Want a party in your mouth and a healthy bar at the same time?? My South Beach dark chocolate bars came from Amazon just as my husband was working to increase his fiber for health sake. This dark chocolate, chewy taste is fantabulous!! It would be great as breakfast bar with coffee or tea in the morning or a delicious snack with extra fiber any time of day. This individually packaged bar is convenient to carry and a delictable chew. South Beach Diet Bar Fiber Granola Bar, Dark Chocolate, 5-Count(Pack of 8)" +665,1351209600,B0002DGRPC,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +666,1351209600,B002133Z56,A1KWVBDHBG50VZ,2,Disappointed,"My daughter buys this brand locally.... The only difference is its more expensive and its boxed....Or that was what I assumed...This product is not washed and has the husk or outer shell still on it, and you must wash and rinse it multiple times to get that outer shell off of the grain.....Consequently I have cooked it a couple of times, assuming that I had properly washed and rinsed the grain, and had bad results....Future purchases will be from local market, even though Its more expensive....At least its washed and cooks perfectly every time....." +667,1351209600,7310172101,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +668,1351209600,B006FKMB1K,A16MAY5BMKOQG1,5,Exactly what we were looking for!,"We received a nice selection of K-cups at a reasonable price. I also liked the way it was packaged. It arrived in a small, heavy weight paper bag which meant that I could put the cups we wanted to try first on the display rack and tuck the rest up in the cabinet above. The bag is smaller than one of the bulky boxes that don't fit in the cabinet (even though they're only half full)." +669,1351209600,B0002DGRRA,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +670,1351209600,B00473ZJ9S,A3V51LS397Y1TC,5,Great Product,"this is Great Stuff have been using it for years.It getting harder and harder to find in the stores,so I just figured i would start ordering it. Much easier" +671,1351209600,B000LKXDXU,A2J3PR6J36UTVH,5,Michael Seasons Unsalted Potato Chips,"These are the best chips ever! They are unsalted and being on a low sodium diet critical in allowing my husband and I to eat chips. They are all natural and low fat which is a great extra bonus. Additionally they have the BEST flavor...you really taste the potato flavor and not the salt! I would choose these chips over ANY chip on the market today, salted or not!! These chips as well as ANY unsalted chips are very hard to find in the stores so THANK YOU Amazon for selling them." +672,1351209600,B002ZOCEMG,A1LIP0F4R542OQ,1,:(,I just got this coffee a few days ago. I had coffee with this bean yesterday and today morning. I can't like this coffee even if I'm trying so hard to like this coffee. +673,1351209600,B009WSNWC4,AMP7K1O84DH1T,5,DELICIOUS,Purchased this product at a local store in NY and my kids and i love it. Its a quick easy meal. You can put in a toaster oven on toast for 6 min. and its ready to eat.
strongly recommend +674,1351209600,B0051COPH6,A3NDUBKYPI47N2,3,Product expiration & bulk ordering,"The product itself is pretty straight forward. It's got pureed organic baby food in a little pouch. Easier to transport than the little glass jars. If your baby eats a lot, there's a lot more food per pouch. The nozzle and cap makes it easy to squeeze straight onto a spoon and feed baby with no mess (at least on this end). Also, since the food theoretically is being transferred from the pouch to the spoon, you don't have cross-contamination of the baby's mouth germs being reintroduced back into the jar of baby food.
The color of this particular product leaves a bit to be desired. But the flavor was fine (to me) and the pear and garden greens combo is pretty nice and healthy.

I echo the same concerns that another reviewer posted. I actually got this product a little earlier since I knew my baby would be eating in a month or so. Lo and behold, once I opened it when he was ready for solids, the expiration had already passed. Perhaps this is only an issue for the free stuff we're getting through Vine reviews; I sure hope so. But somebody ought to think twice about giving out stuff on the cusp of expiration that is meant for babies and their uniquely sensitive systems. This is also relevant given that the baby food comes packaged as a pack of 12. Now, I don't know who would buy a package of 12 food pouches of the *exact* same flavor. Your baby must really love pear and greens. Moreover, I mentioned that each pouch is 4.5 ounces. That's more than 2 glass jars' worth. My personal thought is that unless your child has texture issues or low oral muscle tone, the baby is probably going to move through the pureed food stage a lot faster than you could possibly go through 12 pouches of this baby food (I'm assuming that you're also providing him/her with other flavors, though).

I also recommend looking into the Happy Baby brand of baby food. It also comes in neat little pouches and has organic pureed fruits and veggie combos; but it adds additional Salba grains that are naturally rich in Omega-3s." +675,1351209600,B004P8FUXA,A18PSXOI64YFZC,3,its delicious...,I was surprised at how delicious these toasted chips are. They ship well with little damage. I have ordered them several times. Also they are very fresh. Not one bit was left in the bag when I got through. +676,1351209600,B007VQQT1K,A34P4V70RNC2YV,5,Great Irish Tea,We recently returned from a wonderful three week excursion to Ireland.
We tasted many Irish teas and our favorite was Barry's Gold Blend.
I was pleased to find it readily available on Amazon and at a reasonable price
as we have already used up the supply we brought home. +677,1351209600,B0045Z6K50,A3HM6TNYB7FNDL,4,Full- bodied without a bitter after-taste,This is my everyday coffee choice...a good all around crowd pleaser. Green mountain Sumatra would be my back-up-for-a-change-of-pace second choice...nice to have both on hand! +678,1351209600,B0005Z7GMA,ALJ8LNGJ8HC1V,5,Mrs. Dash Tomato Basil Garlic,"I saw this advertised in a magazine and was unable to find it locally. Lucky for me, I located it at Amazon. I love it, especially on chicken. Bought some for my daughter, and she swears by it too." +679,1351209600,B000UBD88A,AWRFQYLG7LQKJ,2,Not very strong,Not as strong as the regular dark coffee. Disappointing after having Sumatra at Starbucks. Wouldn't get it again. It just didn't taste like the real deal. +680,1351209600,B0000V1B3E,A3PKAVKWFFT0GC,1,Want To Pay $31.51 Lb For Loose Tea That's Mediocre At Best? Then Look No Further,"Holy cow, when I placed my order for 24 individual packets I assumed each packet would yield 1 gallon. Wrong. 3 Quarts. Apparently China Mist has taken a different course and screwed the customer out of that extra quart even though all the other brands that offer family size or filter pack tea bags the yield is always 1 gallon.
And now for the math...1 box 24 ct China Mist shipped = $35.45. 18 gallon yield = $1.96 per gallon. Price per pound loose tea = $31.51. NEVER AGAIN. First and last purchase I make with China Mist of Arizona. Especially when their product is mediocre at best anyway. Give WALTERS BAY & COMPANY a try people. They make 4 flavors of iced tea and their price which includes shipping and is prime eligible is $30.75 and that buys you 96 1.o oz filter packs...NINETY SIX GALLONS OF TEA.

Enough said. China Mist good riddance." +681,1351209600,B003IHO8OG,A21XO4RCPWMEVK,5,Gives Me The Focus I Need,"This past summer I started experimenting with products that claim to give you focus when I go to my pool games. The first one I tried was vitaminwater Attention which has caffeine in it. I initially like the results, but the next week I had taken a nap prior to drinking it and the caffeine became too overwhelming when I played my games and it caused me to rush a bit during my shots. It was my worst performance all summer long. For the last few months I've been drinking a neuro SONIC prior to my games and I LOVE IT! It gives me the focus I need without revving my engine up too much like the vitaminwater Attention did. I see a lot of people complaining about the price, but I don't think it's that big of a deal. Comparing it to the vitaminwater Attention it has A LOT more brain power ingredients, so it's not like they're overcharging you for nothing. They have a far superior product to any Monster or Red Bull or any other caffeine-loaded energy drinks on the market. And it gives you a lot more focus than 5 Hour Energy does as well. So the $2.50-$3.00 price tag is well worth it to me.

I also like to mix this with a little sativa and the results are remarkable. I've been doing this combo all season long (started in September ends in December) and I'm the highest ranked player on my team. The best player on our team started the season off slow but he's been picking it up a bit lately so he might catch me by the end of the season. But if I keep up my winnings with the neuro SONIC & sativa combo I think I can keep my spot." +682,1351209600,B003Z2N8GI,A3G67CDWPI9HLA,4,Good value but still borderline junk-food,"I was very pleased to find these snacks at this price. The vending machines I'm around sometimes have these in them, but they're half the weight for basically the same price. I'll just keep a pack of these with me and get twice the value!

I gave them 4 stars because they're not 100% fruit. Yes, they have real fruit juice in them, but they also have corn syrup (not high fructose thankfully), corn starch, and added sugar. These are good snacks, but they're still straddling the junk-food fence." +683,1351209600,B000H1217M,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +684,1351209600,B000NBQUNW,A10F34HEJG1QW1,4,BENECOL SMART CHEWS,"My cholesterol readings have improved with the help of the chews, I believe. However, I may like the chews better if they were less sweet." +685,1351209600,B004AWV49U,A92RW3QSICGK,3,Hot Apple Cider,"This was very good for the most part. I like to drink it in the chilly mornings we've had lately (in Vermont). The only bad thing is sometimes if I don't drink it fast enough, I end up with the residue which isn't that good.
I appreciate it being sent to me in a timely manner." +686,1351209600,B008PYVINQ,A1DRWYIO7JN1MD,2,bot very cheesy,Got this about a month ago.first of all it smells horrible...it tastes very peppery and not very cheesy. If you are going for the stuff at the movie theater this is not it +687,1351209600,B001E55YVK,A3RKGIDH068DMU,5,Flavor yogurt,"My wife has had Lap Band surgery and has to eat small, low calorie meals regularly. I find that cut up veggies (broccoli, carrots, etc) with a dipping sauce made of Greek Yogurt and Hidden Valley Ranch salad dressing mix goes over really well." +688,1351209600,B0029NU416,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +689,1351209600,B000LKVL16,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +690,1351209600,B001VNGHSO,AGIFGYN717K2K,1,Not for sprouting,"I bought these seeds for sprouting, as I assumed they would sprout. After 4 days it was apparent that they will not, and are dead. I bought an alternate brand advertised as sprouting seeds, and after 2 days, they were growing." +691,1351209600,B00004RAMY,AEQ2FUEQEQVTI,1,defective device,"no instructions provided. Trap would not open. when trying to set the trap, cut my finger. It appears that the device was not bent. not sure since no instructions" +692,1351209600,B00004RAMY,A24GR1MZXO4MOM,4,Great Mole Trap,A very well built mole trap that works great when set correctly. The safety latch is a nice feature that prevents accidental tripping while setting the trap. I don't follow the box instructions but rather set the traps on the surface. This works well with a lot less effort than trying to bury them. I've found that a person needs to be very patient. The mole may not use the tunnel for several days. In fact I've caught some after five or six days. Picking the best tunnel is the hardest part of trapping moles so spent your time there rather than moving traps around every two days. +693,1351209600,B006K2HQRW,A37264CFSSA73O,4,Standard,"It's not the best quince brand but it's fine.
The product arrived in perfect conditions and it worked to bake a ""Pastafrola""" +694,1351209600,B0050CPSBE,A4IL0CLL27Q33,1,Buyer beware,"Nespresso makes GREAT coffee and GREAT machines. I switched over to a Nespresso machine 7 years ago and have never looked back. I save a small fortune every year by making my lattes at home.

That being said, the Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here)." +695,1351209600,B00401OZ1U,A1KIL93AY6MFGS,5,Metromint or Bust!,Chilled Oragemint is a classic refreshment for a dry and scratchy pallet. Premium price is met with exceptional taste and exceeded satisfaction
Go for it! +696,1351209600,B0068ZWDG0,A18SSQCUXS47D1,5,Was bummed!,"I was bummed that I might run out of this favorite of mine, before I received my next shipment via the subscribe and save program! Really don't tolerate the full caffeine coffee, and love that I can get the 50% (probably should stop at one cup, but can't have just one!), not to mention it has a smooth flavor and just always leaves you wanting just a little more ;}!" +697,1351209600,B004TBCP22,A2P9JQ1B3PIVB4,2,TASTED & SMELLED STALE,I just got back from a 3 week Rhine River cruise and these candies were available at all times in a big bowl up on the front desk. Everyone loved and raved about them and talked about trying to order when we got home and how we would do that since it was a German company. I was so excited to see that thru Amazon I could get them. I even bought some for my friends in California that went on the trip with me. I was so disapointed. They are not fresh and even the inside of the bag smells musty. I'm very disapointed. +698,1351209600,B001FB6B0G,ALZ6ZNT6D5S2Y,5,Cooking Sauce,"I love this product, and have been using it for nearly 30 years. This dark soy sauce is perfect for Chinese ""red"" dishes, items that are braised or cooked, pot roasts! Many reviewers complain about the bitter and unusual taste of this sauce when they use it at the table. I never use it the table or directly on finished food, salad or rice; it's more of a ""COOKING"" soy sauce. Use regular soy sauce for the table and enjoy the black or dark in your cooked foods." +699,1351209600,B009RB4GO4,A2TZKSY1ZWPOU9,5,Great Hot Cider!!!,It is hard to find much of anything sugarfree that really tastes good but this apple cider is the best. I also love the regular hot apple cider in sugarfree form. +700,1351209600,B003VXHGDM,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +701,1351209600,B006H33NL2,A1J0EO4EVI9ANK,5,Favorite chew toy!,"This is the second one of these antlers that I've ordered (the first one was stolen by a friend's dog, because he liked it so much!). My dog absolutely loves these antlers and carries them all over the house with her. It is the perfect size for her (she's about 30 pounds) and provides hours of chewing time. I highly recommend this to anyone with a dog who loves to chew and is looking for something other than a bone for them to chew on." +702,1351209600,B00005C2M2,A3IVNUHADVJKFA,5,Perfect Gift,"I got these to give out in a goodie bag for the holidays, with a couple extras of course. They arrived quickly, the price was right, and they were delicious! I can't wait to give them to all my friends!" +703,1351209600,B003VQXYMQ,A2QVLUH3RNRS7D,2,Bitter...,"This hot cocoa is drinkable, but the taste is bitter to me. Some in our office thought it was okay. I'll try another brand next time." +704,1351209600,B002W1F6TK,ANSBPV2CZVZ39,1,terrible treats,My dogs love them but they are loaded with junk and come from another country. these went in the trash once i read that. I buy USA only and not loaded with junk like caramel coloring or anything thats a preservative. stay away from these. not good for your dogs. +705,1351209600,B0045Z4JAI,A3AE4G41HPLMP,5,Newman's own Organics Decaf Cups,"newman's Own Organics Special Decaf hasGreat flavor,not bitter at all.Excellent! Would definitely order again.Wish price was a little less pricey." +706,1351209600,B005HUVI0E,A3HM6TNYB7FNDL,4,Full- bodied without a bitter after-taste,This is my everyday coffee choice...a good all around crowd pleaser. Green mountain Sumatra would be my back-up-for-a-change-of-pace second choice...nice to have both on hand! +707,1351209600,B000CQBZQK,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +708,1351209600,B0012EYELE,AWQOTHBNJBSVB,1,Couldn't tell you how it tasted,"The bottle was not sealed, and when I opened the cover, there was black crusty
stuff on top. Gross. I'm sending it back." +709,1351209600,B007Y59HVM,A308RR8J9NJOOZ,5,One of the best!,"I am recently new to the Keurig world. I've tried a handful of flavors since I've gotten my machine, and have been just ok with most of the flavors tried. Fog Chaser has restored my faith in my investment! Try this! Coffee shop taste and at a better price than Keurig K Cups!" +710,1351209600,B007Y59HVM,AAMUNRK134Y5P,4,"Product is good, but....","I like the product and the price point, but for me, the flavor was very strong and overpowering. Perhaps I should have figured this out from the "fog chaser" name?" +711,1351209600,B004VD7KYG,A3HC89PVV5886W,5,"Long Lasting, Reduced Dry Mouth","I've been using this gum for about 6 months now, and find it the best product I've found to help control dry mouth syndrome, brought on by my daily meds. 1 piece will last me about 2 hours and my breath is very fresh. I recently started using an inhaler which adds to my Dragon Breath, and this particular configuration, in the BLUE box gives relief. Bonus is it is sugar free! I'm glad I was willing to spring for a product I'd not heard about. Now, I just have problems finding it easily, in local stores. Hence, Amazon." +712,1351209600,B008I1XPKA,AJJVIVZIQUH3N,2,Fair to midland,"I was skeptical about ordering what with the trouble of the cups exploding, but I didn't have any of that trouble. I did find, however, that it just wasn't full-bodied enough for me. It left me wanting. I can usually brew an 8 oz cup from my K-cups but truthfully even brewing at 6 oz I still didn't get the rich flavor I craved. So I've been finishing up the box by brewing it at 2 or 4 oz and adding a different K-cup brand to the mug. I'd stir clear of this one." +713,1351209600,B003W1Z63A,A2YMQWU9WDPNEU,5,Great!,"Tastes great, really nice that samples came with, convenient. Not as great as loose leaf (personal favorite). I thought it was a little pricey but I re-use each stick at least once so that helps. I would buy again or suggest to others. Aa a matter of fact, I've given out 4 at work and everyone loves them!" +714,1351209600,B001NZPFB0,A3318V6FJ2KIII,5,My dog enjoys it and it helps her hips.,"My dog was diagnosed with hip dysplasia as a 6-month old puppy. The vet said it was the worst case he'd seen in a puppy her age and we were told that she wouldn't be able to walk by the time she was three if we didn't have an expensive surgery done. I've tried various supplements and foods over the years and although she may sway a bit when walking and tire easily she's now 8 years old and we frequently go on short hikes together.

I started feeding her Happy Hips about 4 months ago. Since that time I've cut out any other supplements and paid close attention to how she does. She readily eats the food and doesn't gorge herself when eating. She seems to have more energy and stamina now. I don't want to push her too hard but last weekend I took her on a 4 mile hike over aggressive terrain, much more than we normally do, she led the pack the whole way and even jumped in the truck quickly when we were done. In the past I've had to lift her into the truck at the end of any hikes. She spent the rest of the day sleeping but the next day was up and going again. Overall I'm very impressed with my dog's health and since this has been her food over the last several months it has to be a factor in how she's doing. I originally was going to rate this 4 stars but really have not complaints at all and my pup is doing great so I upped it to 5 stars.

As a side note I read reviews online before feeding my dog this food and found that it is rated well by a few independent review sites." +715,1351209600,B001E52ZJ4,A34U0B84YB7FL2,5,Best of the Bunch,"Tastes great and full of fiber. The new breakfast of champions. Hard to find in the stores, especially this flavor. If you are a Prime member, the cost numbers work pretty well." +716,1351209600,B007RTR8AC,A2PZM8DT1KGT10,5,Fabulous Shampoo,"The name says it all- Clear Scalp and Hair - leaves your hair clear of all products used since the last shampoo! Volumizing - not only does it build up your hair at its roots, but also gives it volume to the end of your hair. Nourishing - if your hair tends to be dry - you will want to try this shampoo! My hair has never looked so good nor has it ever been this easy to manage!" +717,1351209600,B001L1MKLY,A38XYFHXEUNUW6,5,Yummy & Subtle,"Just made my first pot of this wonderful coffee. It was simply delish! Subtle hint of cinnamon. It wasn't overpowering, which I was worried about. I've had 2 cups already. I'll be making this lots! It's difficult to find flavored types of coffee that are decaf. Thumbs up! :-)" +718,1351209600,B001D09KAM,AEY5NHLOAWM21,3,The Kind Plus item was sticky,"I have no complaint about the product itself. I likely would have rated it very good had it not been subjected excessive heat somewhere along, before it arrived. Although I ate them, each one was sticking to the wrapper and
difficult to eat without sticky deposits on my face and hands." +719,1351209600,B000LKTTTW,A3GS4GWPIBV0NT,5,Very good,Wasnt sure about buying such a large quantity of something untried but it was great and we have went through it pretty quickly. Will buy again. +720,1351209600,B009BE2PGS,A2BOAFWDA691AF,4,Heavenly Decadence! But Oh MY!! The Calories...,"These Cookies are beyond tasty- They are heavenly & decadent! They have a cakelike texture with the perfect amount of pumpkin spices, and a cheesecake flavored white chip that completes the experience! And, It is such a GOOD thing they are only available during the Holiday season (and I pray they keep it that way)or I'm telling you- I would be as big as the broadside of a barn. That is no joke. Just one small cookie (approx. 1 oz with a 3"" diameter) contains a whopping 130 Calories, 4.5 grams of fat (2.5 saturated) and 21 grams of carbohydrates (12 of those sugar carbs). So, just like everything else yummy in this world, this tasty tempation should be enjoyed in moderation. Thank you Pepperidge Farms for this tasty treat during the Holidays, and my waist, hips and behind would appreciate it if you keep it as a special Holiday only treat. :)" +721,1351209600,B005FH23QM,A3CGPHRA30C3WH,5,Belongs in your kitchen,"Grapeseed oil is a healthy, light oil of very mild but pleasing flavor. I use it when I don't want the strong flavor of olive oil or when I need an oil that will tolerate high temperature cooking. I don't use it every day, but I make sure there is always some in my kitchen when I need it. This seems to be a good brand." +722,1351209600,B005Y10XZ2,AK7CAW3N1XZV6,4,Surprisingly good!,"I was a little hesitant to try these bars, as I usually don't like chocolate for breakfast (I prefer fruit-flavored things in the morning). However, what I DID like about these bars was the ""Protein Fit"" label; if I am going to grab a bar for breakfast, I want it to be high in protein rather than some sugary cereal bar. These South Beach Protein Fit Bars have 9 grams protein (I usually look for 8 or more), 8 grams sugar (about 1 1/2 teaspoons--very reasonable), and 3.5 grams fat, with 2 of those being saturated (I don't worry overly about fat myself, but others might find the saturated fat content a bit on the high side). The bars also contain a good dose of additional nutrition, with 3grams of fiber, 15% of the daily calcium requirement, and various other vitamins and minerals.

I was pleasantly surprised by the flavor of these bars as well. Unlike many other chocolate products of this type, the chocolate tastes natural rather than artificial. In additional, the bars have a very nice texture: they are like a flaky, moist cereal bar. Personally, I could have done without the extra drizzle of chocolate on top, but I think that chocolate lovers will truly love these bars. I would definitely recommend the Chocolate Protein Fit bar to others; I plan to check out the South Beach Protein Fit Cinnamon Raisin flavor for myself." +723,1351209600,B005Y10XZ2,A235UFZGCFN3J5,5,Rich cocoa taste and satisfying...,"I like the convenience of protein bars for an on-the-go snack that fits in a purse or bag. I've been in search of a bar like this for a while because most other protein bars I've tried either aren't satisfying or have as many calories and fat as a big candy bar. These South Beach bars have a very rich cocoa flavor that chocolate lovers will appreciate. They're only 130 calories but still have a good amount of protein to keep hunger at bay between meals. They're also much lower in sugar than similar bars in this category but it doesn't affect the taste. They are just the right balance of low calorie, great taste and still very satisfying. I have already ordered my second box of these." +724,1351209600,B001E5E470,AGADB4E6N1EDS,5,Help for a Lousy Cook,"I'm a lousy cook and I know it. However, when my kids and I grind a little garlic and red pepper over my otherwise bland food, it actually tastes good. (It even makes my Thursday Night Spaghetti border on gourmet-ish when I also include a little fresh Parmesan.) I've tried some other blends from our supermarket, but nothing else tastes as fresh or balanced as Drogheria & Alimentari. It's not too hot for my youngest, (she's 8), but it has a enough kick for the rest of the clan.

Having said that, a little of this goes a long way. You might want to split an order with some friends to try it. For our family, though, we like it so much we have it on our Subscribe and Save list." +725,1351209600,B001E50R4Y,A3L8ZK47FOA8JY,5,Value Value Value,"Dogs love product and this method of purchase provided savings, convince, and freshness! Will buy again if product remains available in this quantity for this price!" +726,1351209600,B004AA2MUM,A1YZ4FP8H9AV6I,5,Perfect treat,Arrived on time. The sweet treat reminds me of my childhood where you smack it to break into edible pieces. +727,1351209600,B004DMGQKE,ABXLMWJIXXAIN,5,Awesome service and great products,"We sent this product as a gift to my husband's daughter (who just graduated from UNH and started her new job in research). She was delighted with the sentiment and the gluten free snacks!
When we ordered it, there was no place to put a gift greeting, so we contacted the company, and they added the greeting for us and were very sweet and courteous - we loved the customer service and the products.
We highly recommend this company and their products, delicious healthy snacks with great service. What more could you ask for?" +728,1351209600,B005C3IVME,A2HCEWRGKDPN9P,3,Quite sugary,"I bought this maple syrup to save a little money versus an organic grade A maple syrup available on Amazon.com. I do notice a difference in taste, this one is more sugary and has a less complex taste. It might not matter to you if you're not a maple syrup connoisseur." +729,1351209600,B002BV05D8,AB3H48U5G3PH1,5,Gatorad,My husband loves this in a can! Can't find the cans in any store. They shipped it fast and will order again! +730,1351209600,B000EVWQZW,A2PCNXBSKCABG5,4,Versatile Mix,"This mix makes a good bread or can also be used to make pop overs which are nearly the same as those made with wheat. My wife is a celiac so we use this for bread, popovers and pizza crusts." +731,1351209600,B0029NIBE8,A3RKYD8IUC5S0N,2,Messy and apparently undelicious,"My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves the little meat-like bits as dry as a bone. It feels like saving money, but not if your cat is only gonna eat cornstarch gravy and turn her nose up at the meat by-products. It's probably fine for a grocery-store food, but a better quality food will make your cat happier and maybe healthier. Also I can't imagine gravy has got the nutritional content my cat needs.

Pouches seem like a great idea compared to messy, annoying cans, until you can't figure out a way to get the stuff out of the package without getting gravy all over your hands.

I switched to Merrick cat foods and my cat is happier--she doesn't leave lots of uneaten bits." +732,1351209600,B0042GSMLW,A1LOWH0EG7X3HR,5,Yummy,You can taste the butter. The peanuts are fresh. Each piece of See's Peanut Brittle is a nice size and the flavor is yummy. If you are a prime member it ships at no additional charge. Great deal! +733,1351209600,B007KPFSFA,A506HOOCVL8GW,5,BEST cup of coffee I've ever had!,"I thought I'd splurge and try this coffee. It costs much more than other decaf K-Cup options. But I hoped that meant it was better coffee. It IS better coffee. I've never had a better cup of coffee than this. It is excellent when compared to any other decaf or regular coffee I've tried.

If you like BOLD, FLAVORFUL decaf coffee try this coffee and you'll really like it." +734,1351209600,B007VGZXPS,AE3WZL0YLVZG2,5,Rustichella ROCKS!,Anything this company makes is worthwhile eating! My favorite is their Trenne.
Their whole wheat pasta is the best I have ever had. +735,1351209600,B006392M7Q,A36ERNIM0TKG3T,5,Hidden Springs Maple syrup,"This is one of the very finest maple syrups I have ordered and enjoyed. I bought the Fancy Grade, for the light amber color. It has a very great taste. I will reorder." +736,1351209600,B0013A0QXC,AWRFQYLG7LQKJ,2,Not very strong,Not as strong as the regular dark coffee. Disappointing after having Sumatra at Starbucks. Wouldn't get it again. It just didn't taste like the real deal. +737,1351209600,B005VOOT52,A2FKFQQPU498JT,5,chocolate heaven,Excellent smooth taste. Any one who loves chocolate will enjoy this drink. Almost has good as International house's dark mayan chocolate coffee was. +738,1351209600,B0057QFOK8,AFRQ2IIV4MBLK,5,Yum!!,"I go through a lot of this garlic olive oil - using it for many savory dishes. My husband and I love garlic, enjoy cooking, and this adds so much to any dish, plus the price is very reasonable!" +739,1351209600,B0050B1GS4,A245UUHQOLXF6L,3,Tricky to work with,"This product is very tricky to work with and a pain in the rear. If you can get it cut and on the cake without tearing, it looks great, but it's very delicate work. Buy 2 the first time you use it, because you will probably need a backup. I cut out a VERY simple silhouette of a black cat to go on top of an orange Halloween cake and even that simple shape had to be trimmed and finessed because the edges would tear as I was cutting (I used small sharp cuticle scissors). If you have a Cricut and lots of shapes to cut with, it's probably a lot easier, but I don't anticipate using these enough to justify the expense. Cool concept- but I think it would work much better if the sheets were a little thicker and sturdier.

ALSO- the black will stain your fingers and your tongue (!) when you eat it. Kids thought it was great, hubby and me not so much.

By the way, I DON'T recommend the pre-cut letter sheets. The letters are small and not very well cut. I couldn't get them off the backing without tearing them- I ended up having to pipe the letters on anyway, which I could have done in the first place much more quickly and easily. Not worth the $4-$5." +740,1351209600,B00866AM2G,ADTOX2JFWWA0B,5,Love it.,I love this but think its a little to expensive for everyday use. It's refreshing and really quenches your thirst. +741,1351209600,B001EO5YO8,A171CP9ZEUR8B9,4,The taste we were looking for,"We originally used this product in one particular stir-fry recipe. Just for the fun of it we tried it in several different marinates and grill basting sauces and loved the results. Experiment with it, you might be suprised." +742,1351209600,B00866AM2G,AY839W9JQDZM2,5,I love this,"It's is in my opinion the best coconut water out there, especially since its not made from concentrate, the. Taste is just so delicious" +743,1351209600,B002GWMGES,A2NUQSB42RKBFA,5,Panama green beans,"These beans have produced some enjoyable cups of coffee with a medium roast (dark brown beans with no oil on their surfaces) at 455F for 17 minutes. We have experimented, using the same roasted beans with different water sources. We have learned that the beans alone do not make the coffee. The WATER that is used also plays an important part of how your coffee tastes. Try your tap water one morning and spring water the next morning, using the same beans! SURPRISE !" +744,1351209600,B005J0N5ZI,AK42RQFIGJAEJ,5,OMG!!!,"I just want to start off by saying that I am a holiday fanatic!! I love the smells like the heater kicking on for the first time in the fall, the onions/celery/bell pepper being cooked up for stuffing, etc. My family has been big Pennsylvania Dutch Egg Nog drinkers. Love the stuff and love that it's cheap (BIG family). I spent the holidays with my in-laws in the northeast and had this stuff for the first time. From then on, I was hooked!! You have to like egg nog of course, but the fact that it's chocolate too is even better. Very creamy, but not too thick like some other brands can be. The only drawback is I can't find the stuff where I live so I have to ship it in, which turns out to be pretty expensive in shipping costs especially since the product is usually less than $10 a bottle! I would recommend this to every egg nog lover!!" +745,1351209600,B001NZVW80,A3318V6FJ2KIII,5,My dog enjoys it and it helps her hips.,"My dog was diagnosed with hip dysplasia as a 6-month old puppy. The vet said it was the worst case he'd seen in a puppy her age and we were told that she wouldn't be able to walk by the time she was three if we didn't have an expensive surgery done. I've tried various supplements and foods over the years and although she may sway a bit when walking and tire easily she's now 8 years old and we frequently go on short hikes together.

I started feeding her Happy Hips about 4 months ago. Since that time I've cut out any other supplements and paid close attention to how she does. She readily eats the food and doesn't gorge herself when eating. She seems to have more energy and stamina now. I don't want to push her too hard but last weekend I took her on a 4 mile hike over aggressive terrain, much more than we normally do, she led the pack the whole way and even jumped in the truck quickly when we were done. In the past I've had to lift her into the truck at the end of any hikes. She spent the rest of the day sleeping but the next day was up and going again. Overall I'm very impressed with my dog's health and since this has been her food over the last several months it has to be a factor in how she's doing. I originally was going to rate this 4 stars but really have not complaints at all and my pup is doing great so I upped it to 5 stars.

As a side note I read reviews online before feeding my dog this food and found that it is rated well by a few independent review sites." +746,1351209600,B001SB34RG,A2NM2R0EH3K6C1,5,won't kid you,I won't kid you there is nothing better than a real hot dog. I love hot dogs but because of health reasons my husband &I had to cut back. We tried linketts and found they are an excellant substitute. Now we can have hot dogsdogs any time we want& during foot ball season that is all the time. Kraut dogs you can't tell the difference between linketts & the real thing. I 'am happy & so is my stomache. GramaM
P.S. You can freeze them & take out as needed. +747,1351209600,B00146K7MU,A23OJZCP25VVIE,5,Licorice Pastels a Hit,Very delicious and enjoyed by many people. These pastels do not melt and do not require special storage or handling. +748,1351209600,B000CQID7E,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +749,1351209600,B000FDQV8M,A1N9VWQSB1CX0E,5,Great Coffee,I have used Alessi Decaffenated Caffe'Expresso for years. It is sometimes difficult to find at local gracery stores and specility coffee stores are far too expensive. It makes great expresso and excellent caffe' latte. The price on Amazon is excellent. I buy it in a pack of six and price is even better. +750,1351209600,B001ELL9GI,AJB0B4DIL1292,5,a great product and deal,"I looked at all of the reviews and shopped around locally before buying these. Locally the best deal I could find was $6 for 1 oz!!!!! I use them on my cereal, yogurt, granola and even in baking. They are yummy and very good for you. I shared one bag with my two health conscious kids and put the other bag in the freezer so I can dip into as needed. You will not regret buying these. I tried roasting some but prefer the nibs in their natural state. I plan to grind some up and try in place of cocoa powder in recipes." +751,1351209600,B005P0NW14,A2B8TQ3M0VRKV8,5,Great Product,"I enjoy drinking this in a greek yogurt smoothie in the morning. I use greek yogurt, pineapple, banana, and green superfood chocolate powder! Delicious!" +752,1351209600,B00823T1K2,A2TNEYVYHY3C4C,3,Tepid Response from My Cat,"It's difficult to write a review for food that I have not personally eaten or been able to obtain a verbal response for from its intended consumer. I don't think my normally voracious cat loved this product though; she would often take a few bites, then walk away from it, then come back to it only when she became very hungry. Of course, this is only one case, and I have no explanation--the ingredients seem to be good and it didn't smell or look particularly offensive." +753,1351209600,B001E5E3S0,A27NSDZXTFJXVZ,5,Great product,"McCann's Irish Quick cooking is the best tasting oatmeal in my lifetime of experience. Also very convenient purchasing it at Amazon. Stores either don't carry it, or are out of it or have high prices. I am very pleased with this product." +754,1351209600,B00800525U,A22IAC67WWBIJB,2,disappointed,I am disappointed with this press. I was hoping it would make a good cup of coffee like the AeroPress does but there is no comparison... and the AeroPress also cleans up much easier. If you are looking for a great cup of coffee...look elsewhere. If you don't have a Keurig machine and want a inexpensive way to use K-Cups then you may be satisfied. Howevert the machine is much faster and easier to use. +755,1351209600,B007TBO6PI,A2W8NAL3R6U8TF,5,Delicious!,"Love these packs. I have made pretzel dogs, bites and sticks. I have even used the pretzel mix to make calzones and pizza. Both came out great." +756,1351209600,B001SAVSHU,A1SGK9Z6F04XI5,5,Sesame seed packets from Amazon,"I particularly like this method of packaging. I don't use a lot - mostly for garnishing loaves of bread. By having it in small packages, I can keep the extras in the freezer until needed so it stays nice and fresh." +757,1351209600,B0029J6KQS,A2GPVA0G0TPRFU,5,Munch Bars,The candy bars were awesome they don't sell them locally so I had to buy the through Internet. If fact between my daughter and I finished them up. I'm ready to order more +758,1351209600,B007OXHJX2,A2PJ4OL92XGPHY,5,Whole Grain Food for great Health Benefit,I love the taste and ease of cooking this rice. The reason for making the purchase was because of the fact that is is a whole grain food item with a great deal of health benefits. Made the puchase for a diabetic because it is a low glycemic food item.

I must say that everyone who I have shared the Black Rice with enjoyed it the most when it was cooked in a broth.

I like the texture and taste with or without broth. I must say that the health benefits of the rice is what I was seeking and have found in this rice. Worth every penny that I spent on it. +759,1351209600,B000LKZD4W,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +760,1351209600,B000FMZO90,A1EBWGUV88OZ2G,5,Great snack!,Love the snack and very affordable!I bought them to get a better price than at the store and saved $1 per bag! +761,1351209600,B0051WBSPI,A1IK1XYGTNVLOW,5,Great service,Not only is the popcorn terrific and as advertised (hull less) but the order arrived early thanks to their fast and efficient service. Yep! We will do much business with them over the coming years. +762,1351209600,B003JA5KLM,A3UOYYQS5Z47MS,5,Morning Coffee,Great coffee at a good price. I'm a subscription buyer and I buy this month after month. What more can I say? +763,1351209600,B009K7YUDM,A26XOLPFPUPOAL,4,Allergy information from the label: not safe for nut allergy sufferers,"From the label on the Cadbury Screme Egg: ""ALLERGY INFORMATION: MANUFACTURED ON THE SAME EQUIPMENT THAT PROCESSES PEANUTS/TREE NUTS.""

The eggs are tasty, nonetheless, although milk chocolate is not my favorite. Also, FYI, the filling is mostly white with a band of bright green running through it." +764,1351209600,B001HTIUDC,A27RDA09KDYVGY,5,Delicious,"This product is a great alternative to peanut butter, or any butter. I like it just as much as I ever liked peanut butter. It has a similar nutty flavor, with a great contrast of salty and sweet. The shipping was fast, and its a delicious and healthy snack you can eat with just about anything!" +765,1351209600,B0075JTJ42,A20SW5W6FQU0TY,5,Nice,"Super give me full recovery after training in the gym, nice flavor and do not make fell heavy in the stomach" +766,1351209600,B005HUVI40,A1DV7TLJ1HT08H,1,"great product, poor delivery","The coffee is excellent and I am a repeat buyer. Problem this time was with the UPS delivery. They left the box in front of my garage door in the middle of the driveway. Because of this odd delivery location, my wife ran over the box when she backed out of the garage and did not see the box. we lost half of the cups. Thius is the third time I have written about this matter to Amazon with no results. Hopefully someone will respond to me.

fred santaniello" +767,1351209600,B003WP05CS,A2XACLNGHY1EOA,5,dry throat,"Very good product. Have used it for years, but for some reason stores around here stopped carrying this flavor.
Helps not just a sore throat, but a dry throat too. Glad that someone is still selling this product." +768,1351209600,B000FZRYM2,A3L53GLROBET4F,5,Red Chili Fettuccinne,"This product is great - looks, cooking time and taste. Have been using it for
years. My wife has dish adding chicken and mushrooms to this that is fabulous!
Once tried Red Chili Fettuccinne will be a ""must have"" in your pantry." +769,1351209600,B004U49QU2,A3464G00K8ZYD1,5,Great Tasting Double-Chocolate Cookie,"The Chips Ahoy! Chewy Gooey Megafudge cookie combines a rich, gooey chocolate fudge cookie with rich chocolate chips. It was great back in the day, even though I've since become more abstemious in my ways." +770,1351209600,B000SDKDM4,A18NG9I9MT2V8I,5,Deeeee-lish!,"For far too long I was a devotee of the Starbucks roast. This is so much better. Rich, tasty, strong coffee without the BITTER bite. Lovely crema. Works great in my automatic espresso machine, too. Love, love. love Lavazza." +771,1351209600,B002GWHBU2,A2NUQSB42RKBFA,5,Jamaican Blue beans,Excellent coffee bean for roasting. Our family just purchased another 5 pounds for more roasting. Plenty of flavor and mild on acidity when roasted to a dark brown bean and before any oil appears on the bean itself (455F @ 17 minutes). +772,1351209600,B000SWTKV0,A1UVMDUODN4H9D,5,AMAZING,"I bought this on a whim; and it was totally worth it. Sea salt is delicious, and leaves table salt tasting like- pepper (shiver). One thing- you do need to crush it in order to make it usable in most situations." +773,1351209600,B00816PNK2,ABDQA93G2GTXC,5,This is so good!,"I purchased this after my sister sent a small bag to me in a gift box. I loved it so much I wanted to find it to buy for myself and keep it around. I always look on Amazon because you can find everything here and true enough, I found this wonderful candy. It is nice to keep in your purse for when you are out and about and get a dry throat or a tickle in the back of your throat. It is also nice to have in a candy dish at home for guests to try." +774,1351209600,B0014DXT5A,AZUCLRMHEBUG0,5,ZipFizz liquid energy shot,Have used this for years. Gives long lasting energy boost with no sudden let down. Good taste. 4 oz ea. so can put them in my carry-on when traveling. +775,1351209600,B008572JIG,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +776,1351209600,B007TGDXMU,AGUBQN9M09VQ4,1,Not what I expected,"First of all the ""k-cups"" were weird and the taste was not what I thought. I would not buy this product again." +777,1351209600,B007TGDXMU,AAMUNRK134Y5P,5,Very pleased,"Good price, good quality with convenience. Fully met my expectations. Would recommend. The breakfast blend was mild and a nice start to the morning." +778,1351209600,B000RZSPTG,A3GF0GES2U2V19,1,Made in China,I didn't realize this product is made in China. I try to be so careful...They even say endorsed by the American Canine Association (maybe that's in China too). +779,1351209600,B000G6O2QG,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +780,1351209600,B001EYUE5M,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +781,1351209600,B0081X097M,A1KIL93AY6MFGS,5,Metromint or Bust!,Chilled Oragemint is a classic refreshment for a dry and scratchy pallet. Premium price is met with exceptional taste and exceeded satisfaction
Go for it! +782,1351209600,B008BT11RI,A3OGEVXL65IGNI,5,Grandma's Chili Powder Replica Very Good,This product is what Grandma's Chili Powder used to be. People have posted and searched online for the no longer available Grandma's Chili Powder. Well this Williams Chili Season Mix is the same thing. It is great. Try this. +783,1351209600,B0029NQNWU,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +784,1351209600,B007TGDXMU,A9JMG87TELB6N,5,Best coffee I ever had,This is the best coffee I have ever had. I have had Keurig coffee maker for several years and I tried many different brands and flavors and San Francisco Bay Breakfast Blend is the best. +785,1351209600,B007PA34DS,A3AE4G41HPLMP,5,Newman's own Organics Decaf Cups,"newman's Own Organics Special Decaf hasGreat flavor,not bitter at all.Excellent! Would definitely order again.Wish price was a little less pricey." +786,1351209600,B004IMYBIS,A33V118ZVFLGVK,4,Delicious but not for everybody,"Pros:
- Wholesome ingredients
- Easy to mix and make
- Flavorful and hearty
- My wife and I like the waffles and pancakes made from this mix.

Cons:
- Grainy and gritty. We like this, but it's definitely an acquired taste.
- Separates if too much liquid is added so you can't make thin hotcakes or crispy light waffles with this mix.
- The boxes are tiny, a lot of product goes a little way. We get two breakfasts plus a few to freeze per box." +787,1351209600,B007RVT57O,A2QZ1A8GBTD74X,5,Great,"Great product and shipped quickly! I bought it as a present and they loved it. Thanks a lot, I will be buying again in the future!" +788,1351209600,B004WMPQ7Y,A4IL0CLL27Q33,1,Buyer beware,Nespresso makes GREAT coffee and GREAT machines. The Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here). +789,1351209600,B0013E7C0S,A1RPZXDAATA442,4,"Delicious, but lid is cheap","I bought this syrup after reading the glowing reviews here. It is indeed very tasty, but I have to knock off a star for the flimsy lid. I flipped it open to try the syrup for the first time and half the hinge broke. I would happily have paid 50 cents more for a durable lid since the container is a good size and now I have to use it very gingerly for the next few months." +790,1351209600,B004ZYDB5I,A4IL0CLL27Q33,1,Buyer beware - pricing out of line,"Nespresso makes GREAT coffee and GREAT machines. I switched over to a Nespresso machine 7 years ago and have never looked back. I save a small fortune every year by making my lattes at home.

That being said, the Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here)." +791,1351209600,B00286KM2A,A1CRIM13JI0ZOV,5,Convenient,"Our family drinks about two gallons of iced tea a day. Liptons gallon size bags make it easy to have iced tea on hand at all times. We put 3/4 cup of sugar into hot tap water add one tea bag and let it sit on the counter for a couple hours, remove the tea bag stir and refrigerate. So simple and so refreshing." +792,1351209600,B0055RU9RC,A1PLO6OW6O2Z1,5,Love it!,"My dog has digestive issues and this product works great for her. I am not sure she loves the taste because she only eats when she is hungry and does not run to eat it as she would other brands. But, it does work and that is what counts. Thank-you for making a product for digestive issues." +793,1351209600,B008NDSNAU,A2Z0XFW79HXASE,5,Yum,"Yum, Yum, Yum, Yum... (Munch, munch). Yum! Love it and it tastes wonderful. Works perfect in a whirly-popcorn maker. They best compliment is when the kids ask, can we make another batch, and they like it better than the movie. Our friends have tried it and have asked for what we use as our popcorn recipe. How cool is that!?" +794,1351209600,B001R3BQNY,A1EAVF2W1QBTU1,5,WoW I was a Phsyco path at work,"Finally I was a physo path at work! I go in at 3:30am and normaly im tired, with this I put 1 packet into a bottle of water and right after i clocked in I downed the entire bottle straight. Within 5 min I was a physco path got me threw the day no crash no burn great deal saves me allot of money compared to 5 hour energy! I love it!!!!" +795,1351209600,B002YR97SS,AKXZEJH9B6BQ8,4,good deal,"it's okay, but I would prefer a larger nugget type product. This ends up powder at the bottom of the bag.
Overall, it's a good deal, especially since it's organic. Add a little flavoring and you can replace most uses for hamburger, or stretch that organic lb. of beef into 2." +796,1351209600,B00750E0X6,A2CPS5MWG87O7E,2,not what i expected,"when i ordered this i expected a big box full of fortune cookies like the one in the pcture, nonetheless, when i got it it was very small and the fortune cookies tasted weird. they were okay, but not he best i had ever had." +797,1351209600,B004IN6GVM,A5PFLD64SYXYK,5,The BEST dog candy,This brand of dog treats is by FAR the most loved product of its kind my two miniature schnauzers have ever had for snacks. I have been feeding it to them for many years. We have tried other things but my babies always prefer the Purina TBonz! +798,1351209600,B000ILEITA,A2CYN807KI4S4,5,"Blue Dog Bakery Natural Low Fat Dog Treats, Assorted Flavors","My dog loves these treats and I love the fact that they are natural and low fat. I did have difficulty getting them though. The USPS completely dropped the ball on this. The first order they lost and couldn't/wouldn't find until Amazon called them. Then they miraculously found them and said that they would deliver within a week. That was two weeks into a guaranted 2-day delivery. I reordered and got the new order in before the scheduled delivery date. Well, the scheduled delivery date came and went with no dog treats and no call from the USPS. Amazon did reimburse me for the first order though. In summary...treats good...USPS...sucks! Is there any alternative shipping methods available?" +799,1351209600,B00451WLYI,A2GW6JUVTALDPV,1,I did not receive my order,"I placed my order through Amazon and after about 10 days inquired about my order because it had not shipped. I received an email back from Starbucks that my order had been canceled. No explanation at all, just that it had been canceled. I checked back on Amazon and see that this item is still available but they had raised the price.

So instead of honoring the price they just blew me off like the sale never happened. Shame on Amazon for allowing a seller to do this.

Bottom line, Amazon has gone down a few points in my eyes. Greedy Starbucks can keep their coffee." +800,1351209600,B003A2AZNM,A27G6T9INFS2O7,1,Reese's and Hershey Bars,$30 is way too much - this company is laughing all the way to the bank. Wait til after Christmas - last year I paid $5 for both the Reeses AND the Hershey!! Both worth the wait!! +801,1351209600,B0079OTURE,ANSBPV2CZVZ39,5,I love the powdered xylitol,"even though this stuff is higher in price and I wished i could afford the powdered all the time, this is great for in my coffee or drinks to sweeten. when baking with xylitol though, it can be a little too much. xylitol will loosen your stools, give you gas and other things. the more your body gets use to it..the more you can eat. so I mix in some other sweetener like organic agave inulin powder (not the liquid, its full of sugar). It will definitely give you gas but no other side effects." +802,1351209600,B003ZT25P6,A34ZMGNQ61MPWC,4,Yummy!!!,This product is the closest I've come to finding the pumpkin spice latte at 711...it only comes out in the fall so stock up! +803,1351209600,B003XKF6CQ,A3IYSIAKYOMKTO,5,Mellow,"This honey made from blueberry blossoms has a milder, more mellow flavor profile than a lot of other honeys. It's really good on waffles because it doesn't overwhelm the vanilla in them." +804,1351209600,B001A5VLYS,AMPYE406UY34Y,5,Love It,"First let me say I'm new to drinking tea. So you're not getting a well rounded expert opinion. I started drinking lipton green tea at work and loved it. Small caffeine boost, great flavor, no calories, etc. Read about white teas online so I gave this a try. The price is incredible. The tea reminds me of a tea I drank at a Chinese restaurant when I was young. Brings back good childhood memories, love the flavor. WILL BUY AGAIN." +805,1351209600,B007TGDXMK,A1BSGNCHEI1PJI,5,Very Nice Medium Roast,"This coffee has the best aroma! Great medium taste. I have replaced our Starbucks Pike's Peak Roast because my husband and I like the taste better. I store it in a sealed container, don't mind that I can't store it in my drawer with the other k-cups. The overall morning experience is pleasant!" +806,1351209600,B00529PECI,A3H4L7TJKQHW4Q,2,One of the better one's,"I tried one stick of this, and two other flavors. This salmon is so tough that when you break it in half, if forms razor sharp ends. It is very very salty and not all that great in my opinion. I am used to King salmon being very juicy and oily. I understand this is jerky, but it is to tough to chew." +807,1351209600,B002RZ1Q3Q,A3UCQK5288MQ98,5,Excellent.,"I am a major fan of the Cornucopia kits and this kit was the third kit of theirs I bought. The wine was great, but as one reviewer pointed out, the labels are misspelled. That's just a minor issue and was good for a few laughs." +808,1351209600,B003VXHGE6,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +809,1351209600,B0051WBSFI,A1IK1XYGTNVLOW,5,Great service,Not only is the popcorn terrific and as advertised (hull less) but the order arrived early thanks to their fast and efficient service. Yep! We will do much business with them over the coming years. +810,1351209600,B002AQP5FW,AEWJD0G85FPSG,5,Betty Crocker yellow cake mix,The Betty Crocker Gluten Free yellow cake mixes are delicious and easy. When buying these particular mixes here in bulk of 6 boxes they came out to be so much cheaper than buying them in my stores in my area. So delicious sweet treat and cheaper price is a steal!!! The Chocolate cake mix and brownie mix are definately NOT cheaper to puchase this way here for some reason. +811,1351209600,B00523NRVO,A2JDXKFZ0PFHKU,5,The perfect pop!,"These lollipops are are well done, look exactly like the picture. Not a single one was broken! They packaged each lollipop so nicely, very impressed!" +812,1351209600,B0001UK0CM,A2V8WXAFG1TEOC,5,Excellent taste,"This is to me a great coffee, once you try it you will enjoy it, this coffee has a wonderful taste." +813,1351209600,B001EQ5IAG,A225UWT247BBBH,5,Great stuff! No aftertaste.,"I made sugar-free merengues with this sweetener and they turned out beautifully. This sweetener does have a cooling effect on the tongue just like peppermint, so you will either need to use it in combination with another sweetener, or plan for this effect (I used peppermint flavoring, so it was fine). In heavier baked goods with more ingredients, this isn't a problem, but frosting/icings and merengues can't cover it up.

I've also used it to make carb-free flaxmeal cornbread and chocolate cake, and it is amazing. No funky aftertaste like splenda, equal, and sweet n'low. The cooling effect is undetectable in the more complex recipes." +814,1351209600,B000SMN0DO,AHAJ5BRYBP7U2,5,This stuff is awesome!,"Dandy Blend is awesome! Why drink coffee when you can drink Dandy Blend? Coffee has lots of things in it that are bad for you (check the web), even though people don't like to admit it. Dandy Blend is a liver cleanser and it tastes great. You can drink it hot or cold. I usually drink it hot and add a little rice milk to it to give it that creamy taste. Mmm, yum. I think I'll go drink a cup right now. It is so much better than all of the ""coffee substitutes"" out there. (I've tried them all.)" +815,1351209600,B00018CWN4,A37264CFSSA73O,5,Great quality!,"This product is very good and I won't change it for any other brand nor vendor.
It made my ""chipas"" taste delicious." +816,1351209600,B004O86R2O,ABSMK7ETXKES0,5,Great product!!!!!!!!!!!!,price and quality are awesome!! Buy recommendation only!!!!!!!!!!!!!!!! We ordered several of them and we loved them. Price is so great and they offer free shipping if you buy certain amount. +817,1351209600,B006N0KV8W,A1OA7ZKRQH98C8,5,no complaints,"I'm a huge fan of Jack Daniel's jelly, Historic Lychburg Tennessee Whiskey Burgundy Grape Jelly, so I definitely wanted to try this. I love how you can get four different flavors instead of a four-pack of the same thing, so this is a good buy.

I prefer the Spicy Original and the Original No. 7 Recipe, as I like my sauces to have more of a bite instead of a sweetness, which the Hickory Brown Sugar and the Honey Smokehouse versions have. So if you like sweet sauces, you're also covered here.

I put the Spicy Original on my mashed potatoes and Original No. 7 Recipe on ham, so you're not limited to pulled pork or ribs. But I used to live in Memphis, where I would eat barbeque pizza and barbeque spaghetti.

Overall, I don't consider this expensive for what you get, and I'm pleased with the quality of the product. Now if I could get the jelly at a reasonable price without having to go to Lynchburg, I'd be good to go." +818,1351209600,B0040B5K28,A22CAEM146DDH5,5,Good food,The only dry food my queen cat will eat. Helps prevent hair balls. Good packaging. Arrives promptly. Recommended by a friend who sells pet food. +819,1351209600,B0028GWGY2,A1U2QG2PO7TY9X,5,wonderful tea,I love this tea. It is so refreshing and easily brewed. I have shared it with friends and they are amazed at the wonderful flavors. it is my favorite! +820,1351209600,B000BRR8VQ,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +821,1351209600,B003ASXKV0,AUEA2NJHMK9DF,4,Like this tea,This tea has a nice flavor although I wish it was a little stronger. I have brewed way it states and even tried letting it sit longer to get a stronger cup but it didn't work. Am pleased with purchase and flavor overall. +822,1351209600,B005K4Q1RW,A2TZKSY1ZWPOU9,5,Great Hot Cider!!!,It is hard to find much of anything sugarfree that really tastes good but this apple cider is the best. I also love the regular hot apple cider in sugarfree form. +823,1351209600,B007FK3JS8,A11X0ENDTFGCEH,5,"Enjoyable, quick cups of coffee with no waste","My mother loves this coffee and the pods fit her coffee maker. It is hard to find pods that do work for it, so we have a standing order for this brand. She can have one or two cups, and go on her way. You just can't beat the ease!" +824,1351209600,B000CQIDJM,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +825,1351209600,B004WZ4KK0,A19SKPB9MCXGGH,5,The best Tassimo coffee,"I love all the coffees I have tried, but the Gevalia Dark Italian Roast is the best by far. I would recommend it to serious coffee drinkers." +826,1351209600,B003OFNR6M,A27LEUWQ49OTWX,2,"Poor germination rate, poor growth","I have tried to grow these in little starter plugs and I sowed directly onto a soil. Both times germination rate was very poor. Transplants died. Direct sowing was a bit better but those geraniums were growing very measly. I planted them in very good soil (I test all my soil annually) all other things grown in that soil were great! I would give it 1 star, but give it a benefit of a doubt as I might have not know how to properly grow these geraniums." +827,1351209600,B002ESVRWQ,A293T21WVQ3TDC,2,A bit weak...,"The coffee ""Blend"" is really lean on Kona and really fat on fill. I could not get a full bodied taste no matter how I ground it. If you want real Kona taste, spend the bucks and buy real Kona!!!" +828,1351209600,B000EIE20M,A39QHSDUBR8L0T,3,Just ok,I bought this brand because it was all they had at Ranch 99 near us. I find it spicy (hot) but not enough flavor. I would have rather bought Maesri Thai Green Curry Paste. It is much much more flavorful and spicy. +829,1351209600,B000EMAZK4,A46U02M3QK02,5,FAVORITE tea...,Lipton makes the BEST French Vanilla tea...I have tried others and this is my favorite. Just the right balance in the vanilla flavoring. I buy it by the case as it is hard to find in stores - thankful Amazon is carrying. LOVE this tea! +830,1351209600,B0032CJPOK,A2NJAE2OHSSFA7,5,Best formula on the market,"I have tried pretty much every formula on the market, from similac to enfamil, and this is by far the best. It settles well with my baby's tummy and she doesn't have any digestive problems. It's worth the extra money." +831,1351209600,B0014X5O1C,AHYRTWABDAG1H,5,Wonderful alternative to soda pop,"This is a wonderful alternative to soda pop. It's carbonated for those like me that just enjoy fizzy drinks way too much for their own good, yet it also contains 70 percent total juice. I'm not going to say it should be a substitute to drinking normal fruit juice, but if again you're like me, and both are almost addicted to fizzy drinks and can't stand the taste of any artificial sweetner to even try to gag down a ""diet"" soda, then this is very much the way to go. I also do suggest this flavor, most or all of the Izze line uses some of the flavor of juice listed on the can, but also some grape and/or apple juice as a ""filler"". They do the same here, but it tastes first like clementine or at least orange juice, and then a hint of the others come through. I've found with most other flavors of Izze it will taste more like the ""filler"" first, and then the flavor listed on the can or bottle.

Price may seem high, but compared to what a 4 pack costs here it's actually not horrid considering. And if one has an amazon prime account, then shipping costs aren't a major issue." +832,1351209600,B001PHVO5W,A20RGALDT1UMYG,1,way too bitter,"I love coffee. I am used to strong coffee, I have lots of it. I drink espresso with no sugar or milk. But strong coffee doesn't have to be this bitter. My stomach hurts from drinking it." +833,1351209600,B0054ES1NK,A25QCYSED869Q3,5,If you like mint candy......,"This is the best hard mint candy in the world. Expensive, though. I can't find it in stores. Anyone know where I can get it off-line?" +834,1351209600,B000S859NC,A2H7STZ2URUCOE,5,GREAT TEA,"Rooibos Natural Red tea is something of a personal taste! It has an interesting flavor as all things that are good for you do! I prefer to add a little cinnamon to mine. It is known to be used for people who get GOUT and since I do , I have had no incidents since drinking this tea! If it works, use it! It is a good tea and caffeine free. Some prefer it with sugar!Give it a try too for it's calming effect!" +835,1351209600,B004NB7A1O,A2JDXKFZ0PFHKU,5,Perfect pops!,Not a single pop arrived broken! They take a lot of time in the packaging of this product and it is much appreciated. +836,1351209600,B000EML7DS,A2DFSA2JXQKVY3,4,Not bad.,"These are small and very salty. The taste is good, but very strong, so it's a good thing the package contains a small amount. It only takes a few little crisps to cure my salty/crunchy craving. I can snack on one package for an entire day. Of course these would not be a good snack if you're very hungry, because there isn't enough there to fill you up. For less than $1 per pack it's an okay deal." +837,1351209600,B008RRJCDY,A1W6E1FN0745L7,5,Great Choice on Popcorn,"This powder is unlike anything I've had with its unique flavors. It's a mildly sweet, tangy flavor which goes fantastic on popcorn. While I think most of us love hot, buttered popcorn with an ample amount of salt the simple fact is it's not very healthy. So, I was on a search to find something which was flavorful on air-popped popcorn, but not too bad nutritionally. This fits the bill." +838,1351209600,B0009P5Y9I,A5R3XOLGJG1P5,5,Love this!,"The pods are easy to use and have a wonderful aroma when released from their foil packets. The crema is perfect every time. Smooth enough to drink solo, and strong enough to still have a presence when used for lattes or cappuccino." +839,1351209600,B004MMNNDS,A248RO4GSIWDII,5,Love it!,"Heard great things about drinking this tea. I was very happy with the purchase from this vendor, and I need to reorder ASAP." +840,1351209600,B0002NVKZ4,A94YB71KEDA3X,5,Our pantry staple!,"I first tried these last year and absolutely fell in love. The only fresh mushrooms we can get here are the very basics so to add these is heavenly.

Soups, stews, egg dishes, gravies, meatloaf, these mushrooms make just about everything taste better!

And it's so easy. I rinse them quickly before letting them soak as I'm a bit lazy and didn't want to filter the liquid as they recommend on their website. I've never had any problem. I use the liquid as well, and if I don't use it in that recipe, I save it for another! It's that good!

I cheat and use my Keurig to soak them in a 4 cup vessel with 2 of the large size cups. Perfect every time. I usually grab two very large handfuls of the porcinis to reconstitute.

Beware:
I accidentally ordered from the wrong vendor a few days ago and got a huge bag of... literally - garbage. It smelled so odd, was discolored (dyed?) and just gross. I can only think it was the victim of some warehouse flood or something. Amazon refunded my money and I ordered from here again and just got the most fragrant, delicious mushrooms. I'll never make that mistake again!

Please enjoy these - they are wonderful and I'm so glad I can get them from Amazon!" +841,1351209600,B008AHJZWY,AL0PVH6QPNWMW,1,Hint Fizz,I love hint water so when I saw they offered hint fizz I had to try it. It is the worst thing I have ever tasted. Straight soda water with absolutely no HINT of watermelon. I wrote to the company regarding any form of customer satisfaction guarantee and as of now I have not heard from them. This has been 2 weeks now. +842,1351209600,B003X0RV7O,A3T6IV5D8PTPIZ,5,Just like the Restaurant...,This is great tasting tea! It tastes just like the tea at the restaurant where we were first turned on to Genmai-cha! Nothing negative to say. +843,1351209600,B006W5WH5S,A3AOK34N9VZ7HY,5,Special K fruit crisp. YUM,"Special K Fruit Crisps, Strawberry, 10-Count Bars (Pack of 4)Purchased these for a drive in the morning breakfast food with coffee. Love them. They taste like mini-poptarts for adults. Great try them. Only 100 calories." +844,1351209600,B000EMAZK4,A20DY4XPIV6YKR,5,SO GOOD!!!,"I love this French Vanilla tea and it's not available in stores any longer so I was THRILLED to find it on Amazon. Now that the weather has turned cool, it's time for tea!!" +845,1351209600,B002YHU9LC,A2Z0XFW79HXASE,5,Yum,"Yum, Yum, Yum, Yum... (Munch, munch). Yum! Love it and it tastes wonderful. Works perfect in a whirly-popcorn maker. They best compliment is when the kids ask, can we make another batch, and they like it better than the movie. Our friends have tried it and have asked for what we use as our popcorn recipe. How cool is that!?" +846,1351209600,B00791V0S4,A3SCMZEAXS6VEQ,5,Perfect Snack,"I purchased this item because it was reviewed so highly on another web site. It didn't disappoint. It's not overly sweet, which is perfect. I've compared the taste to less sweet cross between a fig newton and bit of a granola bar. Great for traveling when you don't have access to healthy snacks." +847,1351209600,B005BD7WFC,A2MBKP24AYSXX2,5,Tasty!,"I wish these came in larger quantities, if I could have a cuppa everyday I would. So refreshing and tasty!" +848,1351209600,B000C08B0E,AUEA2NJHMK9DF,4,Like this tea,This tea has a nice flavor although I wish it was a little stronger. I have brewed way it states and even tried letting it sit longer to get a stronger cup but it didn't work. Am pleased with purchase and flavor overall. +849,1351209600,B001SAXPEO,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +850,1351209600,B0029NU31M,A1HKHIP6VCMALP,3,Our dogs love it but finding low price and 12 oz cans is tough,"When Amazon LLC was selling large cans it was affordable via super saving shipping. You expect a price reduction when buying large size cans. One quarter of these cans was only partially filled with chunks, having an inch of fluid before touching the meat product. I shake each of these large cans before opening one. We prefer the smaller cans of this product, but local chains do not carry it in either size, and Amazon only offers it in large. Our dogs love the pedigree brand pouches and cans, especially the beef and liver. Although, they use corn product (one reviewer noted) and my veterinarian espouses ""...it's mostly water,"" our dogs vote is positive. We treat our pets and give this to them because they like it...not for their health.

After finding the substantial price increase this morning, I found the small cans at PetCo. Perhaps, Amazon will get a small can supplier for the ""beef and liver"" chunks in the future." +851,1351209600,B007L3NVKU,A3HM6TNYB7FNDL,4,Full- bodied without a bitter after-taste,This is my everyday coffee choice...a good all around crowd pleaser. Green mountain Sumatra would be my back-up-for-a-change-of-pace second choice...nice to have both on hand! +852,1351209600,B000I6MCSY,AO34Q3JGZU0JQ,5,Just My Kind of Coffee,"Coffee Masters Hazelnut coffee used to be carried in a local coffee/pastry shop, which is where I fell in love with it. Then they went out of business and I tried for so long to locate it elsewhere, finally finding it at Amazon. It is a mild coffee with a lovely flavor and aroma. I used to mix it half and half with regular coffee, but now drink it 100% by itself 100% of the time. Got on the auto ship plan and couldn't be happier." +853,1351209600,B001IZM7QQ,A2FWY7OWLFDRT3,5,sooo good,tastes so good. Worth the money. My boyfriend hates wheat pasta and LOVES this. cooks fast tastes great.I love this brand and started buying more of their pastas. Bulk is best. +854,1351209600,B001NZTESU,A3318V6FJ2KIII,5,My dog enjoys it and it helps her hips.,"My dog was diagnosed with hip dysplasia as a 6-month old puppy. The vet said it was the worst case he'd seen in a puppy her age and we were told that she wouldn't be able to walk by the time she was three if we didn't have an expensive surgery done. I've tried various supplements and foods over the years and although she may sway a bit when walking and tire easily she's now 8 years old and we frequently go on short hikes together.

I started feeding her Happy Hips about 4 months ago. Since that time I've cut out any other supplements and paid close attention to how she does. She readily eats the food and doesn't gorge herself when eating. She seems to have more energy and stamina now. I don't want to push her too hard but last weekend I took her on a 4 mile hike over aggressive terrain, much more than we normally do, she led the pack the whole way and even jumped in the truck quickly when we were done. In the past I've had to lift her into the truck at the end of any hikes. She spent the rest of the day sleeping but the next day was up and going again. Overall I'm very impressed with my dog's health and since this has been her food over the last several months it has to be a factor in how she's doing. I originally was going to rate this 4 stars but really have not complaints at all and my pup is doing great so I upped it to 5 stars.

As a side note I read reviews online before feeding my dog this food and found that it is rated well by a few independent review sites." +855,1351209600,B000S6CCJ8,A3RI8KFE0MW24F,5,Very pleased,Bought this as a gift for our daughter in law. She was very pleased. So that makes us very pleased. Nice gift. +856,1351209600,B0063HMIRW,A1PTXZ2H80JWZ6,5,BEST,Okay so I work at a Family Dollar in St. Louis && we just got these in. Well for awhile I had been looking for the Snickers for my mom (just because) && now it's at my job for 10$ along with the Reese's. ! It's so freaking good && you can't go wrong with it what so ever . ! +857,1351209600,B0002DGL26,A3SZ0N66423CE5,1,plastic chew,Puppy didn't care for this. Older dog chews on it. Not sure how much gets chewed up and digested. Not too crazy about this. +858,1351209600,B000H0ZJHW,A1HHNY1GVD3UIS,5,my dogs love the peanut butter!,"First off, read the ingredients, no crazy words I can't pronounce, which means it's all natural! I got the peanut butter treats for my two children: husky/shepherd and a lab/shepherd mix, and they can't get enough of them. Plus, on Amazon, this is such a great value for 16oz. Beats petsmart for sure! I'll be looking for more Zuke's products now that I've discovered them. Thanks Zuke's!" +859,1351209600,B004281MKI,A1LOWH0EG7X3HR,5,Yummy,You can taste the butter. The peanuts are fresh. Each piece of See's Peanut Brittle is a nice size and the flavor is yummy. If you are a prime member it ships at no additional charge. Great deal! +860,1351209600,B0083T6HC0,A3O8OORDK17OBT,1,Steer Clear-not as described,"I wanted to try different K cups and didnt want to buy entire boxes of a coffe only to discover i dont like them. I like to take chances and I like variety so I decided to give this a shot. I only recieved 32 K cups, there were MANY duplicates and just under half were decaf. But live and learn!" +861,1351209600,B007S0WQXE,A2BV01F023AUW1,5,Exactly what you think- Olive Garden's salad dressing,"This salad dressing is exactly what you get when you order a salad at the Olive Garden. It's thinner than most creamy Italian dressings but it helps coat the salad evenly without overdressing it. Rated 5 stars not because it is the most delicious salad dressing I have ever had, but because it tastes exactly as you would hope.

This dressing can also be purchased directly from Olive Garden restaurants." +862,1351209600,B001EO5Y52,AO4IX8RD1ZP8M,5,Very very good coffee,"Green Mountain Coffee Fair Trade Organic Sumatran Reserve, K-Cup Portion Pack for Keurig Brewers This is a real treat for a coffee snob! Not only is this a great coffee overall, but even compared to other Sumatran coffees and Sumatran blends this one can hold it's own against most other roasters. I enjoy it better than both the Sumatran offerings from Starbucks. I would say it is right on par with the caribou Sumatran product. only ones that I have enjoyed even a little more were products from Cats Ass Coffee harvested from animal droppings (Kopi luwak)at over $150 a pound 0.o and the Sumatran offered by S&D... But the S&D product is hard to find or discontinued/seasonal. I would tell friends and Coffee people all over to try this! (And yes, I grew up in Portland and Seattle so I just may know better than you) :P LoL

Enjoy!" +863,1351209600,B0019GVYR2,ACSO5EDO1UMZ5,1,NEWSFLASH,"I just called Bob's Red Mill customer service (just do a G search for the company, their customer service number is under ""contact us"" on their site), and I was annoyed to learn that NONE OF BOB'S RED MILL BAKING SODA CONTAINS ALUMINUM. I've been paying $10-15 (with shipping) for this magical 'aluminum free' baking soda only to learn that the Bob's Red Mill 'premium baking soda' at my local grocery is the same exact thing. Call for yourself if you don't believe me. Ugh." +864,1351209600,B0015R9BQG,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +865,1351209600,B007F1MA46,A1LHOKYENR7HP2,5,Vinegar Is Magic!,"I have always heard about vinegar being great for cleaning, I'm sure I even used it to clean a microwave before, and I know I've soaked mildew-smelling clothes in vinegar water which was successful. But, it wasn't until I bought a steam mop (here on Amazon) and tackled my vinyl kitchen floors, that hadn't been well cleaned in years... that I discovered the MAGIC of vinegar. This steam mop left my floor so tacky and sticky, if I stood in one place, I felt like either the floor or my skin was going to come off. I took to the internet for a solution. Someone said to mop the floor with vinegar. Skeptical, but desperate, I did ONE mopping of the vinegar all over the kitchen floor. Just like that, as soon as it dried my floor was clean again. Extremely excited, I looked up more magic ways vinegar cleans. Then I ran out of vinegar, and had to buy some more. I have used it now to clean faux wood blinds that had grease & dust buildup, air return vent that had years of residue & dust build up, and stained toilets. I now keep a generic spray bottle of vinegar for cleaning anything.
Alright, I am a believer now. Vinegar is magic." +866,1351209600,B007OXJK3Y,A2U3RRCA2URS56,5,Delish!!,So yummy... Drinking it Black coffee or w cream this coffee is delish .... One of my favs... I would recommend this coffee to everyone :) +867,1351209600,B003VXFK44,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +868,1351209600,B000HDONP8,AM7TK7EDGGV3Y,5,Great Cookies,"These cookies are WONDERFUL! So happy to be able to enjoy a sweet, GF Snickerdoodle! The cookies are flavorful and soft. I think even folks that don't follow a GF diet would enjoy." +869,1351209600,B003P9XFW8,A1XZU3UA1LDHUM,5,Excellent Dog Food,My dog loves it and she absorbes it well. Her breath is fresh and her teeth are staying clean. I free feed her and her weight gain is on schedule. +870,1351209600,B001SAWHPM,A2NCU9UMQMKXKT,5,Tasty and easy to use.,Everyone that dips with this loves it! So easy to use! Olive oil and tasty bread is all you need. +871,1351209600,B004728MI4,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +872,1351209600,B001D0FT0C,A1VQC2RWKXEZI7,3,question,does anyone know if the flowers come with personal message? It doesn't show where i can write a message to go with the flowers. +873,1351209600,B0035LYCPU,A1D847PJXKDCVF,5,made a great waffle...,"Bought this with my new Oster Belgium waffle maker, and had the best waffle ever. Came out very light and crisp. So easy, didn't add oil or anything. I like that it has 4g of fiber per waffle. I always try to get high fiber bread and carb items." +874,1351209600,B004DBT12A,A1DV7TLJ1HT08H,1,"great product, poor delivery","The coffee is excellent and I am a repeat buyer. Problem this time was with the UPS delivery. They left the box in front of my garage door in the middle of the driveway. Because of this odd delivery location, my wife ran over the box when she backed out of the garage and did not see the box. we lost half of the cups. Thius is the third time I have written about this matter to Amazon with no results. Hopefully someone will respond to me.

fred santaniello" +875,1351209600,B002HNC8VW,A2DVFHG099GUGE,2,Not a preferential hot sauce,"For quite some time, I have been using different types of hot sauce on different types of food. Before I started doing this, I only ever remember using hot sauce on barbeque sandwiches. Even though I have tried numerous types of hot sauce during this period, Tabasco Brand Habanero Sauce has set itself apart from the others as being a hot sauce that I do not consider to be a favorite. Its flavor is novel and peculiar but not to my liking. It also has a strong heat, but that is understandable since it is a habanero sauce, but it is still too hot for my liking. I did use the entire bottle of it, though, and tried it on several food items. Even though I am glad that I tried this hot sauce, it is not pleasing to me." +876,1351209600,B004H6MV28,AFF6F08FRSYWG,5,Love chai - love Keurig - love these K-cups!,I'm addicted to these chai k-cups. It tastes sooo good and much cheaper than fixing my chai cravings at Starbucks. Highly recommend!! +877,1351209600,B000LKU3DI,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +878,1351209600,B005BSPXBM,A7CV2TJJSC4E3,5,great coffee,A bit pricey once you add the S & H but this is one of the best flavored coffees I have tasted. Got my daughter hooked on it too! +879,1351209600,B001E8DHPW,A150LY3C1UEV9E,5,"Good quality, great to cook with",We have enjoyed using this product. I like it specially for cooking lightly breaded fish or vegetables. It gives a faint pleasant taste of coconut. I can hardly wait to do some tropical dishes. +880,1351209600,B0099AUJBW,A23XL2FKT1M7DT,5,"Excellent flavor, low sugar, subtle and spicy","Read the reviews and have more of a savory palate so the low sugar and spicy elements had great appeal. Followed the instructions, we make our lattes with a Nespresso machine and did 1.5 pumps into a Grande Starbucks cup (16oz), filling half the cup with soy milk (dairy issue), the 1.5 pumps of the Amoretti syrup, and then two Lungo pours from the Nespresso. So much better than a Starbucks Pumpkin Latte (which we find too sweet, if we're stuck getting one we do only 2 pumps, not the Starbucks standard 4). Subtle pumpkin with spice elements of cinnamon and cardamon. Looking forward to trying their other products. Didn't know they also make olive oils and martini mixes." +881,1351209600,B006WYSFZK,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +882,1351209600,B007HQFSMU,A2R724NAP8P0DP,5,No more Slim Jims!,"These are great grassfed beef sticks, much tastier than those I tried from another company. And after hearing Nick interviewed on Jimmy Moore's podcast, I'm impressed with his story and very happy to support his farm." +883,1351209600,B004S036FO,A370Z6I5GBWU44,1,Not what it used to be,"Hormel's Chili used to be an awesome pro0duct. When I was a kid, this chili was downright tasty and meaty, and you could add a can of beans to stretch it out, just let the chili and beans simmer for a while and you had the perfect recipe. However, that recipe has changed. There is considerably less meat in here, and what has it been replaced with? Oatmeal. This even says so on the side. I am sorry, but I am disappointed. If I want oatmeal, I'll buy Quaker. This chili is also thinner, and does not taste as good as it has before. If Hormel would go back to the old recipe, this chili would be as good as ever." +884,1351209600,B003IHO8LE,A1ZR68U4ZVLQCQ,4,Subtle yet effective,"Though I, like many, aren't happy with the price, it does work. I've been drinking the bliss and sonic versions of nuero for the past week and it has done quite a bit to boost my creativity, help my overall mood, and cut through the clutter to find manageable tasks that can be conquered. It very well may be the placebo effect but then again the effects are going to be subtle unlike energy drinks which kick you in the face and leave you jittery and wired. Its vitamins, nutrients, amino acids and such, it's not going to wash over you like warm wave of happiness, but it will subtly and pleasantly leave you feeling good (and with the sonic; productive). And no I have no affiliation with nuero and heard about this from a friend who bought it locally." +885,1351209600,B004EAGP74,A150LY3C1UEV9E,5,"Good quality, great to cook with",We have enjoyed using this product. I like it specially for cooking lightly breaded fish or vegetables. It gives a faint pleasant taste of coconut. I can hardly wait to do some tropical dishes. +886,1351209600,B000FIWIWA,A1TED4G0PWZPQV,5,You have to have these!,"Made with xylitol, and this kills bacteria in your mouth all day and night if you take these mints. Los fights candida," +887,1351209600,B000HB9TLI,A353IAF5Y1XE53,1,Don't like the taste,I do not like sour taste and this has a sour kind of taste which i don't like. The smell isn't that great either +888,1351209600,B000CQG8M6,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +889,1351209600,B0012KB4U2,AGQBI6601XH2R,5,Both cats love these!,They only like this brand and flavor of treat. Won't go for the soft version. One of my cats will actually stick his paw down into the canister and drag a few up the side if I hold the can within reach. I find this product reasonably priced at Target. +890,1351209600,B0027E0XGS,AKKQ4GKRGROGG,5,mint julips,"The syrup I got from Oak Alley Plantation for making my own mint julips was so helpful in recreating the drink I had while at Oak Alley Plantation in Vacherie, LA drinking a mint julip on the verranda of the plantation...it made it taste as good as theirs was. It came tightly packed so as not to break and I always feel like I am back there on the verranda when I have a mint julip." +891,1351209600,B0029O6YK0,A3RKYD8IUC5S0N,2,Messy and apparently undelicious,"My cat is not a huge fan. Sure, she'll lap up the gravy, but leaves the little meat-like bits as dry as a bone. It feels like saving money, but not if your cat is only gonna eat cornstarch gravy and turn her nose up at the meat by-products. It's probably fine for a grocery-store food, but a better quality food will make your cat happier and maybe healthier. Also I can't imagine gravy has got the nutritional content my cat needs.

Pouches seem like a great idea compared to messy, annoying cans, until you can't figure out a way to get the stuff out of the package without getting gravy all over your hands.

I switched to Merrick cat foods and my cat is happier--she doesn't leave lots of uneaten bits." +892,1351209600,B003P9XFTG,A1X4OJBDP7HMTZ,2,Blue Buffalo Wilderness,"Very disappointed with this product. I've read so many positive reviews and opted to purchase a bag of this pricey food as a treat for my eight cats.

l. Didn't make sure shipping was free under my ""Amazon Prime"" and ended up paying $6.00 and some change.

2. NONE of the eight cats like it. They sniff it and walk away. Even the half feral one won't chow down on it.

Overall, a total waste of money. Guess the possums will eat it." +893,1351209600,B008YA1NWC,A2O4V3MCB7EPPU,4,One of my favorite K-cups flavors,This is one of my favorite k-cup flavors. The coffee roast is mild and has just the right amount of coconut flavor. It is not over powering or cloying. I like to brew this on the second to largest size setting (on my machine) and add one splenda and liquid carmel creamer. It sounds like a weird combo but it's really good. It's my Saturday morning go to coffee combo. +894,1351209600,7310172001,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +895,1351209600,B00472I5A4,A32NC2UF34RJQY,5,Great for HS lunch,"Great for HS lunch, kid enjoy as a snack also, will buy again. Salted chips are good too, tried them too." +896,1351209600,B002QZ3XKG,A18PSXOI64YFZC,3,its delicious...,I was surprised at how delicious these toasted chips are. They ship well with little damage. I have ordered them several times. Also they are very fresh. Not one bit was left in the bag when I got through. +897,1351209600,B000MBN5TK,A1W2QH1LI4YQR4,5,Yum!,"I'll never go back to regular taco seasoning again! I use this for tacos, taco salad, and I've heard it's even good in chili--though I haven't had a chance to try that yet. This seasoning does not rely on chili powder for the main flavoring and is a refreshing change from the same ol' same ol' taco seasonings." +898,1351209600,B004WZ4EW4,A2IQ7EI0PHDE8J,2,Tasty but not truly raw,"These taste great and it's nice to see they've come out with some naked seaweed without anything added. However...I've had raw seaweed before, and I seriously doubt this is raw. It is crunchy which probably means it's been processed at high heat, which is also common for many products that claim to be raw. Truly raw seaweed has a crispness to it but is still fairly chewy and more difficult to break apart. I read the label and it says nothing about what temperature it is processed (other companies who manufacture raw items typically provide this information). I knew I bought it at my own risk, and am disappointed since I like this company." +899,1351209600,B009B87TKG,A1BSGNCHEI1PJI,5,No upset tummy!,I have a large breed and a small breed. The smaller has an extremely sensitive stomach and throws up every food we try. Finally we have found something that is for our older dogs and great for our little guy's stomach! +900,1351209600,B000BH1NRG,A3O0K07D6EDMSB,5,Excellent,Great product at a good price. Will definitely be ordering this product again once it's all used up and the bottles empty. +901,1351209600,B007OSBE1U,A2R28IOP06EH4X,2,No Consistency,"I purchased the variety pack of Martinsons and the Brown Gold they are both from the same vendor. I did not like the taste of the Martinson product at all. I threw it away, not the product I expected at all. The Brown Gold was more palatable, however certain flavors with this brand also feel short in particular the Costa Rican named product was extremely too bitter. I would agree with most that this does give you a lower cost per serving, but when the coffee is inferior and the taste match is also, I think the best descriptor is cheap." +902,1351209600,B000F4D5GC,A13P5PAZMA5ENT,5,Good buy,"I have been using lots of coconut lately in granola, cakes, cup cakes etc. and this particular brand serves my purpose very well.
The price is very good." +903,1351209600,7310172001,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +904,1351209600,B00765PU2K,A1HZOO8M8RMQUR,5,Just what I expected!,"I bought these in order to make vanilla and kahlua for Christmas gifts. They were moist, yummy-smelling beans. If these experiments work, I'll be buying again for next year!" +905,1351209600,B0099AUJBW,A36L1OMFLJ1ZX6,2,How did u make it??!!!,"I have seen lots of reviews about how bitter the taste is with coffee, may be I should have listened to them....not happy with the result." +906,1351209600,B003XB5LMU,ACMKAF8Q8U9ID,3,Not so much soyi but nice,"I was really looking for a soy sauce substitute, it does not quite meet my expectation. It's okay.

Dr. L" +907,1351209600,B009NN54I8,A34VJC9PA5FPA4,4,NTune@60,"I heard so much about this Chicago Mix popcorn from people who visited Chicago I decided to see what all the fuss was about. When I saw it on Amazon, I had to try it. It lived up to all that I had heard. I could not stop eating it! I have recommended it to many others. It makes a good gift for friends or co-workers or a special little treat for yourself." +908,1351209600,B000CR41MO,A3FH318GY52DC7,5,Best I've Ever Had,"I have eaten all kinds of popcorn for many years. Many years ago, we made popcorn the old fashioned way; in a pot on the stove. I remember it being crisp and crunchy. Then, along came microwave popcorn. I tried many different brands and none of them had the same crisp, and sometimes they were just plain mushy. I thought this was just a common attribute among microwavable popcorn products until several years ago when I tried making it the old fashioned way with the same results.

What I have come to realize is, it's not how you prepare the popcorn, it's whether or not it's ""organic."" The first time I tried ""Newman's Own,"" it had that crisp and crunchy texture that I remembered from so many years ago. Perfect!" +909,1351209600,B000LKXJEI,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +910,1351209600,B004M0Y8T8,A2QJS6MHTIFSRI,5,Sleeping a lot better,"Hubby and I (both 63) have been drinking about 4 oz a night for a few months now. We both found that we are falling into a deep sleep faster and for a longer time (eliminating the 2 or 4 am wake up). My sister and her hubby also tried it and like it very much for the same reason.Indian Summer 100% Juice, Montmorency Cherry, 46-Ounce Containers (Pack of 8)" +911,1351209600,B001YJ6L2C,A2Q37C49S3FZLH,5,All Around Great!!!!,The almonds taste great. The dark chocolate coated on the almonds makes em taste even better. Almonds and dark chocolate are both heart healthy which is exactly what i was looking for and got it all for a great price..... WINNING!!!!!!!! +912,1351209600,B001M0AKE8,A07112861KSNE1D0ZA1NO,4,Quaker Instant Oatmeal Dinosaur Eggs,"This has been a firm favorite at breakfast time in our house for many years. When you can pick it up at this low price for a 4 pack, it seems to taste even better." +913,1351209600,B003QNLUTI,A2E2F8WSUB33VE,5,Excelent,"Good price, flavor, fast delivery And good presentation overall. Very eficient when playing golf, it really gives extra Energy and it helps to achieve a better game" +914,1351209600,B0002DGRSY,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +915,1351209600,B0002DGRSY,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +916,1351209600,B003QNLUTI,AYTSBGA5A3UWI,5,A God Sent Remedy!!!,I love this stuff! It's a God sent Remedy for hangovers!.... I understand the health concerns many people have and I can also see that this can be habit forming. I make sure I only take one every so often and not everyday. +917,1351209600,B004ZEL1BO,A23UMGC3IY4B78,1,TOXIC INGREDIENTS! WILL RETURN....,"After reviewing the 3-star review on Amazon, I checked the label on the container. Sure enough, this product contains propylene glycol!!!! as one of the top ingredients!! I've done some research also and found that propylene glycol is toxic to pets and people. Please do your research.

BOTTOM LINE: I WON'T FEED ANYTHING TO MY PETS OR FAMILY THAT MIGHT HURT THEM. THERE ARE TOO MANY HEALTHY TREATS ON THE MARKET." +918,1351209600,B001PQOB4O,ARF9K2APJHAH3,5,Best cornbread mix ever!!!!,Great corn bread mix.Perfect for thanksgiving.It is a seasonal product so stock up.Expiration date is up to 2 years .Way cheaper at Costco though. +919,1351209600,B007IEGRB2,A8M34GMW5GF6D,4,girls bettlejuice costume,Fit perfectly. Size is true. Expected exactly what was described online and that's exactly what i received. Would definitely purchase another item in the future. +920,1351209600,B004O8KBK8,A1JPKFGGF128X1,5,Yummy and Healthy,Loved the cranberry-like flavor and slightly crunchy texture. Worked well with wheat bread. A little on the expensive side but my kids like it too. +921,1351209600,B0016JJEFG,AO9WE22147CRH,1,bad tasting tea,"We drink a lot of tea... from all over the world! By far this is the worst tasting tea we have had... I purchased this based on reviews and because this is organic. When compared to st dalfour organic tea... this tastes like Lipton caffeine free tea from Costco! I HAVE always gone with reviews before buying anything online, but this particular tea is no good, At ALL. And Costco returns is better than amazon for so much of something so bad!" +922,1351209600,B003TC7WN4,A3GFZIL1E0Z5V8,5,Rodeo Drive is Crazy Good Coffee!,Rodeo Drive is my absolute favorite and I'm ready to order more! That's if I can find it.
I don't know why they are discontinuing it.
It arrived very fast. +923,1351209600,B007TJGZ54,A29BJSTYH9W3JI,5,super coffee,Great coffee and so easy to brew. This coffee has great aroma and is good to the last drop. I actually like all the brands. This is the way coffee should taste!! +924,1351209600,B004J402A6,A2OGEXIK9IG4WU,5,Love this coffee...,This is the best coffee ever! Wish I could order a box of 100 at a time as we go thru a box of 80 in about a month and a half. Buying it online is soooo much cheaper than buying at the grocery store. +925,1351209600,B004VLVFFI,A2HIF50JQB4G2W,5,Great product!,"Made a batch of sourdough rye and it got rave reviews. Currently have a light and a dark rye starter, making marble rye this afternoon!" +926,1351209600,B0062P9XPU,A33KQALCZGXG8C,5,Delicious!,"I am not a huge beer lover. I do enjoy an occasional Blue Moon (all of the varieties are good!), but recently ate at a Brazilian restaurant...and had one of these beers...been looking to purchase it locally but no one carries it! It looks like it will be a heavy, bitter beer, but the taste is actually light and the flavor excellent! I found it on this website and will be ordering 2 six packs!" +927,1351209600,B000Y2CT6M,A4QPC05GM1H32,5,Fantastic Instant Refried beans,Fantastic Instant Refried Beans have been a staple for my family now for nearly 20 years. All 7 of us love it and my grown kids are passing on the tradition. +928,1351209600,B005K4Q1YA,A3TXT588J6OR0Y,5,Love this stuff!!,I Have been ordering this k cup cappucino drink for awhile now and have never had a problem! Love it tastes good! +929,1351209600,B004X71550,A1EEGOM5ZQVD81,4,Finally!,"At last a sweetener with hardly any of that nasty aftertaste! There is a very slight aftertaste but not the same as the others. (It is acceptable in my opinion!) Sweetens like sugar, only slightly sweeter, so don't use quite as much. This Swerve product is too expensive, which is my only real complaint, which is why I rated 4 stars and not 5." +930,1351209600,B000EUF9CK,A3P7UANHKLNW7H,5,I was very surprised,"After hearing about the health benefits of dark chocolate I decided to buy some at our local health foods store. I did not buy this on Amazon but wanted to comment. I was very surprised by this chocolate. I will admit, at first I was thinking "" omg, this tastes nothing like chocolate"" BUT, it's 88% cocoa and since I've never really had any other dark chocolate except the hershey bar, I didn't really know what to expect. I'm not a baker too so give me a break:) Anyway, this is definitely growing on me, I had my second piece today, I bought the little pkg of 10 individually wrapped squares. It is very good and you definitely should let it melt in your mouth and savor the flavor, like another reviewer stated "" like a glass of wine"" I will definitely be buying more of this. And for those that say ""yuck!"" It's not your typical candy bar, it's more of a delicacy per say." +931,1351209600,B005K4Q34S,A3TXT588J6OR0Y,5,Love this stuff!!,I Have been ordering this k cup cappucino drink for awhile now and have never had a problem! Love it tastes good! +932,1351209600,B006N3I3Q6,AO4IX8RD1ZP8M,5,Very very good coffee,"Green Mountain Coffee Fair Trade Organic Sumatran Reserve, K-Cup Portion Pack for Keurig Brewers This is a real treat for a coffee snob! Not only is this a great coffee overall, but even compared to other Sumatran coffees and Sumatran blends this one can hold it's own against most other roasters. I enjoy it better than both the Sumatran offerings from Starbucks. I would say it is right on par with the caribou Sumatran product. only ones that I have enjoyed even a little more were products from Cats Ass Coffee harvested from animal droppings (Kopi luwak)at over $150 a pound 0.o and the Sumatran offered by S&D... But the S&D product is hard to find or discontinued/seasonal. I would tell friends and Coffee people all over to try this! (And yes, I grew up in Portland and Seattle so I just may know better than you) :P LoL

Enjoy!" +933,1351209600,B001C4PKIK,A3IMXYITIO8WHN,4,Great food!,"I wanted a food for a a dog with skin problems. His skin greatly improved with the switch, though he still itches some. He loves the food. No recalls, American made with American ingredients was a big plus (no Chinese poisoned food). I took off a point for availability, which increases the price. Fortunately he is a small dog and the food lasts a while. He has done well so now feeling safe to expand the diet to other flavones in this line for variety." +934,1351209600,B0051WBSWG,A1IK1XYGTNVLOW,5,Great service,Not only is the popcorn terrific and as advertised (hull less) but the order arrived early thanks to their fast and efficient service. Yep! We will do much business with them over the coming years. +935,1351209600,B007OSBEV0,A2R28IOP06EH4X,2,No Consistency,"I purchased the variety pack of Martinsons and the Brown Gold they are both from the same vendor. I did not like the taste of the Martinson product at all. I threw it away, not the product I expected at all. The Brown Gold was more palatable, however certain flavors with this brand also feel short in particular the Costa Rican named product was extremely too bitter. I would agree with most that this does give you a lower cost per serving, but when the coffee is inferior and the taste match is also, I think the best descriptor is cheap." +936,1351209600,B004MBJPV8,AG7EPW4BU9SG4,1,Disappointed...,"I should read the fine print, I guess. I mostly went by the picture and would have NEVER paid $6.40 for a single lollipop, which is exactly what I got. One. $6.40. Shame on me for not paying closer attention. I will keep it because it is a hassle to send back ONE lollipop. Jeesh!" +937,1351209600,B001LUM1ZU,A3HJN5HU71FQIT,1,God Awful,"As a dabbler who enjoys spanning the entire spectrum of taste, I am more than willing to try anything once. Both as a food aficionado and a lover of bacon, I just had to pick this up. One taste caused me to throw out my sandwich, and subsequently throw out the entire jar of unused mayonnaise.

I would give this less than 1 star, if I could.

Steer clear from this unless you're a major tool who has no sensibility past buying bacon-everything." +938,1351209600,B0013N6YWG,A3IMXYITIO8WHN,4,Great food!,"I wanted a food for a a dog with skin problems. His skin greatly improved with the switch, though he still itches some. He loves the food. No recalls, American made with American ingredients was a big plus (no Chinese poisoned food). I took off a point for availability, which increases the price. Fortunately he is a small dog and the food lasts a while. He has done well so now feeling safe to expand the diet to other flavones in this line for variety." +939,1351209600,B000CQG8B2,A26DOVGY14V7NX,5,breakfast tea,We switch to this decaf tea at night for a great cup of tea and no sleep problems. Thanks for a good cup of tea. +940,1351209600,B007OYUZIM,A3F01F8QHNBAZC,1,Just Bad,Watery and unpleasant. Like Yoohoo mixed with dirty dish water. I find it quite odd that Keurig would release a product like this. I'm sure they can come up with a decent hot chocolate and not this swill. I had one pod in a sample pack so at least I didn't buy a whole box of them. +941,1351209600,B0001IOSCM,A25YYMCNXA2RC0,5,Simple and Authentic,This is a fantastic do-it-yourself poke product. Just add sesame oil and green onion for color then enjoy your authentic Hawaiian treat! +942,1351209600,B0001HAEJY,A289SYWE4BHCF,5,Great!,"Very good product, great for your blood! You will love it and AIMS are wonderful products!!!! I would definitely order this product again. Everything came in a timely manner, free from any damage!" +943,1351209600,B001EPPXRK,A1L1T27A33DDP6,5,"Colorado Spice Orange Peel, Fine Cut",It was more then I needed but I'm glad I bought in bulk. This product is as described and saves me the time of removing the pith and cutting the peel myself. I like the flavor the orange adds to my cooking and so do my wife and kids. Thank you for this great time and money saving product. +944,1351209600,B001EPPBE0,A21N20QGFUWFEC,5,Wonderful,Came quickly. Was plentiful and delicious and cheaper than in the store. You will enjoy it if you like thick pasta. +945,1351209600,B0005XNXB0,A36AUU1UNRS48G,5,"Hands down, the best cajun seasoning. Ever.","I was a Tony Chachere's fan for a long time, so I wasn't about to be swayed by someone's claim that Konriko was better. The nerve! But one day, the grocery store was out of TC's. I had to have something, so I bought Konriko's. And I've never gone back. I now have to order it online at unheard of prices because the grocery store no longer carries it, but I do so because it really is the best. It's the perfect blend of salt, spiciness, and FLAVOR. I've tried other cajun and creole seasonings that were saltier or hotter (or both--I'm talking to you, Tony Chachere's More Spice!), but none were tastier. Makes the best blackened chicken." +946,1351209600,B001J9QBU4,A3UOYYQS5Z47MS,5,Morning Coffee,Great coffee at a good price. I'm a subscription buyer and I buy this month after month. What more can I say? +947,1351209600,B00028LU40,AUEA2NJHMK9DF,4,Like this tea,This tea has a nice flavor although I wish it was a little stronger. I have brewed way it states and even tried letting it sit longer to get a stronger cup but it didn't work. Am pleased with purchase and flavor overall. +948,1351209600,B008GG2N2S,A1CLUIIJL6EHLU,5,delicious,"Gummi Frogs have been my favourite candy that I have ever tried. of course, they only came in 5 ounce bags, there are about 3 bags to make 1 lbs so not only do you get more in one bag but spend a lot less here. These are original haribo candy, not some replica from another company." +949,1351209600,B004QDA8WC,AFF6F08FRSYWG,5,Love chai - love Keurig - love these K-cups!,I'm addicted to these chai k-cups. It tastes sooo good and much cheaper than fixing my chai cravings at Starbucks. Highly recommend!! +950,1351209600,B004TJF3BE,A2TZKSY1ZWPOU9,5,Great Hot Cider!!!,It is hard to find much of anything sugarfree that really tastes good but this apple cider is the best. I also love the regular hot apple cider in sugarfree form. +951,1351209600,B001ACMCLM,A2PCNXBSKCABG5,4,GOOD GLUTEN FREE BREAD STCK MIX,Makes very good break sticks.. Also can be used for a pizza crust.

My wife is a celiac so we both enjoy this either as bread sticks or pizza crust. +952,1351209600,B004LM9KHW,A1AOOCCQ27K9IT,3,French Vanilla Wolfgang Puck,"Product is easy to use.... Just cut or tear pack open and place into the coffee pot. But I definitely did not think that the flavor was particularly French Vanilla, even with French Vanilla creamer. It felt ""heavy"" on my tongue and had a ""dark"" coffee flavor which I believe overcame the French Vanilla flavor. I was very disappointed that I had paid so much for so little flavor. Additionally, when I tried to return the products, the site informed me tht they ewere not returnable (Even the unopened packages)." +953,1351209600,B000LKU3A6,A2YRK0YLBN5CC2,3,"Good flavor, but a wet mess","I got the teriyaki flavor and, while the flavor is good and the texture is also good once you get it into your mouth, it can be a mess getting it there. As other reviewers have noted, this is not like your typical dry jerky. It seems more like something that would be created by the company that makes SlimJims or something - it's moist and chewy. The individual packets don't tear easily, either, despite being notched at the end. You know how sometimes plastic can tear very cleanly, but sometimes it turns into a ragged edge and becomes a struggle? That's what happens with these 8 times out of 10. So if you're out and about (not near a sink) and you try to open it and the tear doesn't work perfectly, you potentially have liquid dripping out onto you, certainly on your fingers as you're trying to get the jerky out of the package and into your mouth. And the liquid dries sticky.

Anyway, as I said, the flavor is good and I've now eaten most of mine, but I have taken to opening the package with scissors and eating them only at home so I can wash my hands afterward." +954,1351209600,B008JA73RG,AFJFXN42RZ3G2,4,Neither too sweet nor fizzy,"V8 V-Fusion may appear to be the typical energy drink that is available today, but the difference between V8 and drinks such as Red Bull, this drink contains vegetable and fruit and 50 calories. This may be a nice alternative to carbonated sodas or sugary fruit juices because it contains nutritional ingredients that may provide a bit of energy for the day. The drink contains fruity peach mango flavor, green tea, and vitamin B, but also a concentration of potatoes, yellow tomatoes, and carrots.

With the natural energy that V8 V-Fusion provides, one may want to switch from the regular cup of coffee or fizzy pop that usually contains the energy for the day. The taste is satisfying, not too sweet, fruity, acidic, or watery. And after trying the 8 fl. Oz. Can, one may not be enough, however, the contents warn that it may not be recommended for children, women nursing or pregnant, or individuals watching their caffeine in take. But one recommendation, chill the drink before serving." +955,1351209600,B000MUT928,AMV75AVRSNM0L,3,Crunchy strong and ok taste,"I thought the pocket coffee was good, not sure I'll order them again though. It definitely has a coffee flavor and is a strong flavor, has a little bit of a crunch to it, but it's also has a bitter after taste which might be reason it's not what I expected." +956,1351209600,B0007PNKRS,A1TED4G0PWZPQV,5,Came as expected,It was tasty and fresh. The other one I bought was old and tasted moldy. But this one was good. +957,1351209600,B0006349WQ,A21BT40VZCCYT4,5,Good Training Treat,My dog will come in from outside when I am training her and look at the cupboard waiting for her treat. When I use the clicker training method she comes because she knows she has something special. +958,1351209600,B001ANXL84,A3NZ74QTATJ45W,5,Best electrolyte replacement drink,"I'm a disabled Vet with 80% of my kidneys gone. I'm on heavy water pills that deplete my essensil fluids. Cramping is my worst result. I started drinking Vitalyte, a glass four times a day and the cramps are gone! I sleep all night without having to get up and walk off leg and foot cramps. This is the greatest stuff I have ever tried. Makes Gatorade and the other 'kid' stuff a waste of my time and money.

When a physcial therapist told me about 'Gookinaid' I thought he was pulling my leg. But I bought it and tried it and I'm sold. I buy anywhere from 4 to 6 tubs a month. I fill water bottles and carry them in my car for trips. My wife even drinks it and has felt the great affects. If you have cramping or feel a bit run down, give this a try it does wonders. Our favorite flavors are Orange and Grape. Do yourself a favor and give it a try." +959,1351209600,B008TZJUOA,A1LHOKYENR7HP2,5,Cute!,"Bought these to decorate cupcakes for a kid's Halloween party. They are very cute, look like the picture, as advertised!" +960,1351209600,B0006349WG,A21BT40VZCCYT4,5,Good Training Treat,My dog will come in from outside when I am training her and look at the cupboard waiting for her treat. When I use the clicker training method she comes because she knows she has something special. +961,1351209600,B000LKYRXK,A2WVF9ZQ068DN0,5,TERRIFIC multigrain for baking,"Although I first purchased this cereal to use as a hot cereal, I do not care for the mushy texture of the cereal. The taste, however, is TERRIFIC. The cannister included a recipe for muffins made with the mix. I tried them and they were TERRRIFIC. I then went on to make a batch of oatmeal raisin cookies using the multigrain cereal instead of oats. They were TERRIFIC. Moving right along through my recipe box I added some of the multigrain cereal to a pumpkin bread recipe. Can you guess? It was TERRIFIC. Lasly, I may not enjoy eating this cereal solo, but I find using half steel cut oats and half multigrain cereal makes a TERRIFIC porridge.
In looking at others reviews I see that most people love this as a cereal. Texture is a personal preference and I think people who enjoy creamier cereals will enjoy this as well." +962,1351209600,B007TJGZ5E,A3UOYYQS5Z47MS,5,Morning Coffee,Great coffee at a good price. I'm a subscription buyer and I buy this month after month. What more can I say? +963,1351209600,B000O3KMKG,AAB6ZMWFCK4GO,5,Excellent,The Premium Bourbon Madagascar Vanilla Vannila Beans were exactly as described in the ad. They arrived promptly and I have made my first batch of homemade French Vanilla Creamer with them. They are wonderful. +964,1351209600,B000P07YA4,AVN9NG27SPISS,1,New Recipe is Awful,"These used to be my favorite animal crackers but Austin has recently changed their recipe to a ""new and improved"" version and as a result, what was once a tasty snack now tastes like cardboard. The old version had a hint of lemon and the new version is completely tasteless and leaves a horrible after-taste in your mouth. Nice going Austin. Won't purchase again. Austin needs to take a lesson from previous companies that tried to change what was already good and go back to the original." +965,1351209600,B003KLT05C,A36SZQV6KFCY6B,5,great healthy and yummy i love love love,"these crackers are delicious . i absolutely love them. my dr is a runner ,very healthy man. i took some in and gave him a box and he loved them. he also told me they were very healty. im a diabetic and they are low in carbs and very healthy-just a yummy treat" +966,1351209600,B007TGO1TY,A1N655X9X7C6QY,4,Its LIGHT but very nice sweetener,"This Nectresse Sweetener is rather light in taste --but is very nice over other light foods such as fruits , berries , melons -----anywhere that lightness yet sweetness is desired.

I also enjoyed it in iced teas .....especially my fruited teas like strawberry or orange.....

I also used it hot teas as welll---but since it was summer more cold drinks went to table than hot.But it would be great on and in either.

I did not try it as a cooking sweetener because of its smaller sized containers....so I cannot recommend it for baking or cooking.

I can and whole heartedly DO RECOMMEND it for any type of sweetening where its to be sprinkled over such as cereal , oatmeals ect.......or in drinks of any type...and fruits as I mentioned earlier !!

NO bad tasted only nice sweetness !!" +967,1351209600,B007TGO1TY,A2LEO7WT1VIMKZ,5,This stuff is great!,"I'm surprised to see so many negative comments about this product. I don't notice any kind of aftertaste nor do I notice this ""cooling effect"". So far I've only had this by itself (just to taste it) and in coffee. Both experiences were positive. Look, it's not really that much money to try it, so if you want to avoid sugar and don't want something like Slenda (or Stevia -- yuck!) then why not give Nectresse a try?" +968,1351209600,B005IOXBY0,A1ORVAUR5C5N8X,5,WOW.....,"This chocolate is amazing..I love the taste and smell, this is the only chocolate for me...I found a new love!" +969,1351209600,B000255OIG,AUINI96NMGXUI,5,Love this faucet,Love this faucet. My husband had installed the same one in our old house so when our current faucet was leaking I told him not to fix it and we would buy the same one. It was easy enough for him to install but he did need my assistance a few times to help hold some things in place. Looks great and works great. +970,1351209600,B000255OIG,A3SSEJ8IEM4YGW,5,Dogs love it.,"This is the ""all gone"" treat after dinner. It's the only treat that the dogs work for; and I did run the chance of losing a hand. They know a new command now: ""be gentle"" when taking liver treats." +971,1351209600,B000IHNCQO,A2DFSA2JXQKVY3,4,Not bad.,"These are small and very salty. The taste is good, but very strong, so it's a good thing the package contains a small amount. It only takes a few little crisps to cure my salty/crunchy craving. I can snack on one package for an entire day. Of course these would not be a good snack if you're very hungry, because there isn't enough there to fill you up. For less than $1 per pack it's an okay deal." +972,1351209600,B005C7R8HE,A3MAVAV6Q37XT5,5,super,I love this coffee! And such a great price. Will buy more when I am running out which will be soon. +973,1351209600,B003Z6W32E,A2GW6JUVTALDPV,1,I did not receive my order,"I placed my order through Amazon and after about 10 days inquired about my order because it had not shipped. I received an email back from Starbucks that my order had been canceled. No explanation at all, just that it had been canceled. I checked back on Amazon and see that this item is still available but they had raised the price.

So instead of honoring the price they just blew me off like the sale never happened. Shame on Amazon for allowing a seller to do this.

Bottom line, Amazon has gone down a few points in my eyes. Greedy Starbucks can keep their coffee." +974,1351209600,B00934SOFM,A37WARPJ0CCFHU,5,Love It!,"If you've never had a BCalm before, you've gotta try it. It's really the perfect drink for relaxation. Good for a stressful day in the office, a day at the beach, or pretty much anywhere you are. As a commercial director, I'm on set all the time. And while coffee is great early in the morning, there's really nothing better than a BCalm (or two) in the afternoon. Keeps me going, while putting me at ease. Definitely give it a shot!" +975,1351209600,B004ZY34NC,A4IL0CLL27Q33,1,Buyer beware,"Nespresso makes GREAT coffee and GREAT machines. I switched over to a Nespresso machine 7 years ago and have never looked back. I save a small fortune every year by making my lattes at home.

That being said, the Nespresso capsule offers posted here are from a third party who is putting a large additional margin on their price.

You can order the same products online from Nespresso for approx $0.55 each (half the price here)." +976,1351209600,B0002LY6W0,A1BX08Y0GIT5RU,5,The BEST fig spread on the market,This is my go to spread when I serve a cheese platter. This goes well with soft cheeses like goat or brie. Spread it on a cracker or a slice of a baguette. Simply delicious. It's worth every penny. The texture is perfect and it's not too sweet. I highly recommend this product. +977,1351209600,B0002YW26E,A506HOOCVL8GW,5,You won't believe what you'll catch!,"I have been using this product for many years. It is a great non-poisonous method of controlling the insect population in and around your house.

I could not believe all that I caught. Spiders, roaches, earwigs, a poor lizard, more spiders, more bugs... Just put them in corners along the baseboard and check them periodically. Mine filled up in no time with nasty critters.

You will not be disappointed with this item if you are looking to catch bugs." +978,1351209600,B000WSHV1Q,A1YT628H711FN7,5,Great Treat,My cats love these. They are very hard to find anywhere but here. They used to be available in the pet stores but no longer. Must refrigerate after opening. They are a little pricy but a healthy treat for your cat. +979,1351209600,B000LNC3YM,A1AFTFG64H6UYH,5,Hoping it's all it promises to be!,"The tea leaves arrived in perfect condition with clear instructions for use. I've made and drank two batches of the tea ( each makes four 8-oz cups) and I assume all the health-giving properties are doing their thing! The tea itself is bland and pretty tasteless. I drink it icy cold and it's like drinking water - no better, no worse. People can add sweetener and drink it hot or warm also, but I just drink it in place of one of my usual water beverages because that is what I prefer. It's a health drink and I can't imagine anyone disliking it, and that's the main thing. You don't have to hold your nose and choke it down. It's fine." +980,1351209600,B008GQ40UQ,A1YDQ8I5KVNF8P,5,More Like Pepsi,"There is a lot of cola syrups trying to be Coke but this one is shooting for Pepsi. It comes close to Pepsi but of course not a bull eye just like cola syrups can't be Coke, both Coke and Pepsi own the recipes for their drinks. Now that said this is a very good tasting syrup and not a hard or sweet taste like other cola syrups but more mild flavor. My sister is a big Pepsi drinker and she likes this lot more that other cola syrups, she doesn't like Coke. I think we will be sticking with, it seems this is the only syrup trying to be like Pepsi. Again got the package in great shape and very fast, just wish the shipping could be lower. So if you're not a Coke drinker and want a syrup more like Pepsi, you found it!" +981,1351209600,B000NCXHFA,ATMTE0BSP7W6S,5,Mung Beans for sprouting,"I wanted to feed my chickens, turkeys and goats just a little extra protein to keep them fit and healthy while the goats are pregnant over the winter and the chickens and turkeys are getting ready for breeding season. Sprouts seemed like a good idea but everytime I tried to sprout regular beans they would go bad before the sprouts were big enough to interest the poultry. So I saw that the ones I was eating out of can were grown from mung beans. Never heard of them before but thought I'd give it a try. The beans took longer to get here than I would have liked (almost two weeks) but that just tells me the time frame I need before I order more. And the beans!!!! Oh my goodness, you'll get 100% germination and sprouts that are easily eaten and really quite yummy in just three days. I need to get a bigger growing apparatus so that I can make more at one time. The chickens, turkeys, goats and even my pregnant cow LOVE the sprouts. I've found the extra source of protein I needed. Thanks so much." +982,1351209600,B005XGH78E,A2YGWCOC3LM3KH,5,Great flavor - spicy but not too hot,"I got some of this from a low sodium foods website. I can't believe how much flavor this has for only 170mg per oz. I am on a strict low sodium diet and I don't like foods where they have simply left out salt (bland) or they cheat and add potassium chloride, something just as bad as salt to my diet. So I am constantly on the hunt for low sodium foods that are naturally that way. This is a perfect cure for my salty food cravings. I haven't tried the other flavors yet but I plan to." +983,1351209600,B000I6626C,AKTTN6RMV3XMW,5,Delicious .,"These plums are sweet and juicy, and the aroma is like perfume. And it doesn't hurt that they are good for you, too." +984,1351209600,B008GQ40UG,A1YDQ8I5KVNF8P,5,More Like Pepsi,"There is a lot of cola syrups trying to be Coke but this one is shooting for Pepsi. It comes close to Pepsi but of course not a bull eye just like cola syrups can't be Coke, both Coke and Pepsi own the recipes for their drinks. Now that said this is a very good tasting syrup and not a hard or sweet taste like other cola syrups but more mild flavor. My sister is a big Pepsi drinker and she likes this lot more that other cola syrups, she doesn't like Coke. I think we will be sticking with, it seems this is the only syrup trying to be like Pepsi. Again got the package in great shape and very fast, just wish the shipping could be lower. So if you're not a Coke drinker and want a syrup more like Pepsi, you found it!" +985,1351209600,B000O9T4FY,A3MCEVAFHA7I7S,5,Good Buy,"I liked the beans. They were vacuum sealed, plump and moist. Would recommend them for any use. I personally split and stuck them in some vodka to make vanilla extract. Yum!" +986,1351209600,B000FMZO8G,A1EBWGUV88OZ2G,5,Great snack!,Love the snack and very affordable!I bought them to get a better price than at the store and saved $1 per bag! +987,1351209600,B003ZURM80,A1O6MADFNBRX7H,5,5 Star Tea at a super price!,This tea is very good and perfect for the price....you can't go wrong with this product. A must buy for the tea lover. +988,1351209600,B00529PFX6,A3H4L7TJKQHW4Q,1,Expensive,This is too expensive and very tough and salty. I tried a piece of this and did not care too much for it. Even some traditional beef jerky's are easier to chew than this. +989,1351209600,B0040J7HIU,A2VB92E7TA6EUH,3,not 40 bars,There was NOT 40 bars in my box. I opened the box and the bars were all over the place like they were tossed in there and not lined up to keep count. I got 36 bars...I counted twice +990,1351209600,B005YVUHU8,A2W0G89O7E9EFO,5,Awesome!!!,This flavor is the best ever!!! It tastes better than an orange Julius. Smooth and creamy - no grit at all!!! Thanks for an awesome product. +991,1351209600,B001A43E6M,A32UNJZRBQENQW,5,Arizona Green Tea with Pomegranate & Acai,I love the convenience of the mail order process as I cannot locate this product in any super market in my area. +992,1351209600,B002TAEGHC,A295JS81QH2401,5,Supurb,"I was introduced to Lagavulin 16 three days ago. I'm no single malt Scotch authority, but this was straight out delicious; better than anything I've tried, including highly-touted and expensive products served at Robert Burns tastings. Microsoft: put ""Lagavulin"" in your dictionary." +993,1351209600,B003SO4EK2,A2MX8A4AODGYP3,4,"I prefer this, but Postum IS back","I like this blend, use it lightly for a nice nighttime tea with almond milk and honey. But I noticed people bemoaning the loss of Postum, and wanted to let you know that it has returned. The new company got the trademark and says it tastes the same. You can read about it at postum dot com" +994,1351209600,B003E728CE,A2I606SLG4SWHF,5,Perfect for Giving Medications to Our Dogs,"Every month, we give our three dogs (two Aussies and a Golden/Flat-Coat Retriever mix) pills for flea/tick/worm repellant. In addition, one of our Aussies needs daily thyroid pills. We found Pill Pockets is the very best way to do this. Opening the mouth wide and trying to put the pill waaay in the back of the mouth before clamping the jaws shut and massaging the throat until the poor dog swallows is a bad thing to do to a beloved pet. It's bad because Pill Pockets make this chore a happy and delicious time for the dog involved. The Pockets (in the pet store we use) come in chicken or beef flavors, so we alternate flavors every time we buy a new supply. Everybody is happy, and the dogs get the required meds." +995,1351209600,B004OQLIHK,AKHQMSUORSA91,5,Delicious!,I have ordered these raisins multiple times. They are always great and arrive timely. I can't go back to store bought chocolate covered raisins now! Love this product. +996,1351209600,B0006349W6,A21BT40VZCCYT4,5,Good Training Treat,My dog will come in from outside when I am training her and look at the cupboard waiting for her treat. When I use the clicker training method she comes because she knows she has something special. +997,1351209600,B00611F084,A6D4ND3C3BCYV,5,Jamica Me Crazy Coffee,Wolfgang Puck's Jamaica Me Crazy is that wonderful blend of island flavors in a coffee. Have loved it from the first time tasting. Great product. +998,1351209600,B005QKH5HA,A3LR9HCV3D96I3,5,Party Peanuts,Great product for the price. Mix with the Asian rice crackers for an excellent snack. Big container lasts a long time. Only lightly slighted. Peanuts are whole and large. +999,1351209600,B001EQ5GEO,A3VYU0VO6DYV6I,5,I love Maui Coffee!,"My first experience with Maui Coffee was bringing it back from Maui as a souvenier. I called Maui Coffee Manufacting to order more, Shipping was a bit expensive. Originally,I would bring it back from Maui for souveniers for my friends and family on the mainland. They loved it so much I called Maui coffee and ordered more. Once I realized Amazon had Maui Coffee I was so excited and now I can order at my leisure and gift it to all my friends and family. My personal favorites are the flavored blends. (: Thanks!" From 8b2d68f031702655e6b1d987b39faf491cacf21d Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 15:36:54 -0700 Subject: [PATCH 03/15] adds precomputed embeddings --- examples/Clustering.ipynb | 23 ++++++++++++----------- 1 file changed, 12 insertions(+), 11 deletions(-) diff --git a/examples/Clustering.ipynb b/examples/Clustering.ipynb index a03eec53..c5960ab8 100644 --- a/examples/Clustering.ipynb +++ b/examples/Clustering.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -20,7 +20,7 @@ "(1000, 2048)" ] }, - "execution_count": 31, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -30,8 +30,9 @@ "import numpy as np\n", "\n", "\n", - "df = pd.read_csv('output/embedded_1k_reviews.csv')\n", - "df['text-similarity-babbage-001'] = df.babbage_similarity.apply(eval).apply(np.array)\n", + "datafile_path = \"https://cdn.openai.com/API/examples/data/fine_food_reviews_with_embeddings_1k.csv\" # for your convenience, we precomputed the embeddings\n", + "df = pd.read_csv(datafile_path)\n", + "df['babbage_similarity'] = df.babbage_similarity.apply(eval).apply(np.array)\n", "matrix = np.vstack(df.babbage_similarity.values)\n", "matrix.shape" ] @@ -52,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -66,7 +67,7 @@ "Name: Score, dtype: float64" ] }, - "execution_count": 34, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -93,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -102,13 +103,13 @@ "Text(0.5, 1.0, 'Clusters identified visualized in language 2d using t-SNE')" ] }, - "execution_count": 40, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -160,7 +161,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -182,7 +183,7 @@ "5, Excellent but Price?: I first heard about this on America's Test Kitchen where it won a blin\n", "1, Disappointed: I received the offer from Amazon and had never tried this brand before\n", "----------------------------------------------------------------------------------------------------\n", - "Cluster 3 Theme: The reviews for these products have in common that the customers' dogs love them.\n", + "Cluster 3 Theme: The reviews for these products have in common that the customers are happy with the product.\n", "5, My Dog's Favorite Snack!: I was first introduced to this snack at my dog's training classes at p\n", "4, Fruitables Crunchy Dog Treats: My lab goes wild for these and I am almost tempted to have a go at som\n", "5, Happy with the product: My dog was suffering with itchy skin. He had been eating Natural Choi\n", From cfe03038bd3f0a3853d87073273d7f6623def2e9 Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 15:38:07 -0700 Subject: [PATCH 04/15] lint --- examples/Clustering.ipynb | 66 ++++++++++++++++++++++----------------- 1 file changed, 38 insertions(+), 28 deletions(-) diff --git a/examples/Clustering.ipynb b/examples/Clustering.ipynb index c5960ab8..8849b725 100644 --- a/examples/Clustering.ipynb +++ b/examples/Clustering.ipynb @@ -29,12 +29,11 @@ "import pandas as pd\n", "import numpy as np\n", "\n", - "\n", "datafile_path = \"https://cdn.openai.com/API/examples/data/fine_food_reviews_with_embeddings_1k.csv\" # for your convenience, we precomputed the embeddings\n", "df = pd.read_csv(datafile_path)\n", - "df['babbage_similarity'] = df.babbage_similarity.apply(eval).apply(np.array)\n", + "df[\"babbage_similarity\"] = df.babbage_similarity.apply(eval).apply(np.array)\n", "matrix = np.vstack(df.babbage_similarity.values)\n", - "matrix.shape" + "matrix.shape\n" ] }, { @@ -77,12 +76,12 @@ "\n", "n_clusters = 4\n", "\n", - "kmeans = KMeans(n_clusters = n_clusters,init='k-means++',random_state=42)\n", + "kmeans = KMeans(n_clusters=n_clusters, init=\"k-means++\", random_state=42)\n", "kmeans.fit(matrix)\n", "labels = kmeans.labels_\n", - "df['Cluster'] = labels\n", + "df[\"Cluster\"] = labels\n", "\n", - "df.groupby('Cluster').Score.mean().sort_values()" + "df.groupby(\"Cluster\").Score.mean().sort_values()\n" ] }, { @@ -125,22 +124,24 @@ "import matplotlib\n", "import matplotlib.pyplot as plt\n", "\n", - "tsne = TSNE(n_components=2, perplexity=15, random_state=42, init='random', learning_rate=200)\n", + "tsne = TSNE(\n", + " n_components=2, perplexity=15, random_state=42, init=\"random\", learning_rate=200\n", + ")\n", "vis_dims2 = tsne.fit_transform(matrix)\n", "\n", - "x = [x for x,y in vis_dims2]\n", - "y = [y for x,y in vis_dims2]\n", + "x = [x for x, y in vis_dims2]\n", + "y = [y for x, y in vis_dims2]\n", "\n", - "for category, color in enumerate(['purple', 'green', 'red', 'blue']):\n", - " xs = np.array(x)[df.Cluster==category]\n", - " ys = np.array(y)[df.Cluster==category]\n", + "for category, color in enumerate([\"purple\", \"green\", \"red\", \"blue\"]):\n", + " xs = np.array(x)[df.Cluster == category]\n", + " ys = np.array(y)[df.Cluster == category]\n", " plt.scatter(xs, ys, color=color, alpha=0.3)\n", "\n", " avg_x = xs.mean()\n", " avg_y = ys.mean()\n", - " \n", - " plt.scatter(avg_x, avg_y, marker='x', color=color, s=100)\n", - "plt.title(\"Clusters identified visualized in language 2d using t-SNE\")" + "\n", + " plt.scatter(avg_x, avg_y, marker=\"x\", color=color, s=100)\n", + "plt.title(\"Clusters identified visualized in language 2d using t-SNE\")\n" ] }, { @@ -199,26 +200,32 @@ "\n", "for i in range(n_clusters):\n", " print(f\"Cluster {i} Theme:\", end=\" \")\n", - " \n", - " reviews = \"\\n\".join(df[df.Cluster == i].combined.str.replace(\"Title: \", \"\").str.replace(\"\\n\\nContent: \", \": \").sample(rev_per_cluster, random_state=42).values)\n", + "\n", + " reviews = \"\\n\".join(\n", + " df[df.Cluster == i]\n", + " .combined.str.replace(\"Title: \", \"\")\n", + " .str.replace(\"\\n\\nContent: \", \": \")\n", + " .sample(rev_per_cluster, random_state=42)\n", + " .values\n", + " )\n", " response = openai.Completion.create(\n", " engine=\"davinci-instruct-beta-v3\",\n", - " prompt=f\"What do the following customer reviews have in common?\\n\\nCustomer reviews:\\n\\\"\\\"\\\"\\n{reviews}\\n\\\"\\\"\\\"\\n\\nTheme:\",\n", + " prompt=f'What do the following customer reviews have in common?\\n\\nCustomer reviews:\\n\"\"\"\\n{reviews}\\n\"\"\"\\n\\nTheme:',\n", " temperature=0,\n", " max_tokens=64,\n", " top_p=1,\n", " frequency_penalty=0,\n", - " presence_penalty=0\n", + " presence_penalty=0,\n", " )\n", - " print(response[\"choices\"][0][\"text\"].replace('\\n',''))\n", + " print(response[\"choices\"][0][\"text\"].replace(\"\\n\", \"\"))\n", "\n", - " sample_cluster_rows = df[df.Cluster == i].sample(rev_per_cluster, random_state=42) \n", + " sample_cluster_rows = df[df.Cluster == i].sample(rev_per_cluster, random_state=42)\n", " for j in range(rev_per_cluster):\n", " print(sample_cluster_rows.Score.values[j], end=\", \")\n", " print(sample_cluster_rows.Summary.values[j], end=\": \")\n", " print(sample_cluster_rows.Text.str[:70].values[j])\n", - " \n", - " print(\"-\" * 100)" + "\n", + " print(\"-\" * 100)\n" ] }, { @@ -237,11 +244,9 @@ } ], "metadata": { - "interpreter": { - "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8" - }, "kernelspec": { - "display_name": "Python 3.7.3 64-bit ('base': conda)", + "display_name": "Python 3.9.9 ('openai')", + "language": "python", "name": "python3" }, "language_info": { @@ -256,7 +261,12 @@ "pygments_lexer": "ipython3", "version": "3.9.9" }, - "orig_nbformat": 4 + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } }, "nbformat": 4, "nbformat_minor": 2 From b77e9b34e87247f587af559c405ea6c23413c525 Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 15:39:17 -0700 Subject: [PATCH 05/15] clarifies name of Classification example using embeddings --- examples/Classification.ipynb | 130 ----------------- .../Classification_using_embeddings.ipynb | 136 ++++++++++++++++++ 2 files changed, 136 insertions(+), 130 deletions(-) delete mode 100644 examples/Classification.ipynb create mode 100644 examples/Classification_using_embeddings.ipynb diff --git a/examples/Classification.ipynb b/examples/Classification.ipynb deleted file mode 100644 index 54ad13fe..00000000 --- a/examples/Classification.ipynb +++ /dev/null @@ -1,130 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Classification using the embeddings\n", - "\n", - "In the classification task we predict one of the predefined categories given an input. We will predict the score based on the embedding of the review's text, where the algorithm is correct only if it guesses the exact number of stars. We split the dataset into a training and a testing set for all the following tasks, so we can realistically evaluate performance on unseen data. The dataset is created in the [Obtain_dataset Notebook](Obtain_dataset.ipynb).\n", - "\n", - "In the following example we're predicting the number of stars in a review, from 1 to 5." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " precision recall f1-score support\n", - "\n", - " 1 0.82 0.67 0.74 21\n", - " 2 0.50 0.50 0.50 6\n", - " 3 1.00 0.46 0.63 13\n", - " 4 0.75 0.35 0.48 17\n", - " 5 0.88 1.00 0.93 143\n", - "\n", - " accuracy 0.86 200\n", - " macro avg 0.79 0.60 0.66 200\n", - "weighted avg 0.86 0.86 0.84 200\n", - "\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "\n", - "from sklearn.ensemble import RandomForestClassifier\n", - "from sklearn.model_selection import train_test_split\n", - "from sklearn.metrics import classification_report, accuracy_score\n", - "\n", - "df = pd.read_csv('output/embedded_1k_reviews.csv')\n", - "df['babbage_similarity'] = df.babbage_similarity.apply(eval).apply(np.array)\n", - "\n", - "X_train, X_test, y_train, y_test = train_test_split(list(df.babbage_similarity.values), df.Score, test_size = 0.2, random_state=42)\n", - "\n", - "clf = RandomForestClassifier(n_estimators=100)\n", - "clf.fit(X_train, y_train)\n", - "preds = clf.predict(X_test)\n", - "probas = clf.predict_proba(X_test)\n", - "\n", - "report = classification_report(y_test, preds)\n", - "print(report)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can see that the model has learnt to distinguish between the categories decently. 5-star reviews show the best performance overall, and this is not too surprising, since they are the most common in the dataset." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "RandomForestClassifier() - Average precision score over all classes: 0.93\n" - ] - }, - { - "data": { - "image/png": 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cURfn9icaCOr3t3cdT0VnY7PZCIVCVFdXx9sUhaJTUSJGkdDodNohqkRM+xOdXq3iYpIfs9mM0WhUQ0qKbocSMYqERnliOg4V3Nu1sNlsBAIBfD5fvE1RKDoNJWIUCU1UxKiZFx2DEjFdB6vVik6nU94YRbdCiRhFQqM8MR1LNLg3mhlZkbwIIbDZbHi9XvV7KroNSsQoEhoVE9OxRIN7lTemaxBNfud2u+NtikLRKSgRo0holCemY1HBvV0LvV4fS36nvDGK7oASMYqERsXEdCwquLfrYbfbAZQ3RtEtUCJGkdAoT0zHo0RM10Kv12Oz2aiqqlLeGEWXR4kYRUKjYmI6HqPRSDgcVje8LoTdbkcIQWVlZbxNUSg6FCViFAmPqp/Usajg3q6HTqfDbrdTXV2tfldFl0aJmAQiGAyqOjYNoCpZdywquLdrYrPZ0Ol0yhuj6NJ0mIgRQjwphCgUQmxtZL0QQvxVCLFLCLFFCDG+o2xJFoqLi1UwXgMoT0zHIoTAYDAoEdPF0Ol0sbwxqj6WoqvSkZ6Y5cDcJtafDgyNPH4MPNqBtiQF6mbdMGq/dDwquLdrorwxiq6OoaM6llKuEUIMaKLJ2cDTUrs7fSaESBNC9JJSFjTVr6uogLcevac9TU0Y/H4fOqHDEIlRUGj4/X4EYDSZ2rdjAcFsB+iTbVTVAPq0du0xGAzi8/mxWi2xYOooOpPEmNr5w5xBaxYhc1qz2+c4LDisDV/SbAYbA5wD2sewJCIaG1NRUYHf78fU3ueQQhFnOkzENINc4GCN14ci7zUpYnxVdvZ9Na0j7VIoui1ljby/K/MLPh3wClWmik61pz25b/p9zBs0L95mdDo2mw2Px0NFRQVZWVnxNkehaFfiKWKajRDix2hDTvTPHIC5+kCcLVIkO0KCMQR+IxSli3ib03ra03TZcH+26h4MKRnPgLKR7Or9Ngdz1iJFxwZam2QAgeSgvi9+cXzvgTcQRkoY1tOOqY5nrai6iOLqYg5Uds/rhhACu92Oy+XC5/NhNpvjbZJC0W7EU8QcBvrWeN0n8l49pJSPA48DTJw4UV61YnGHGxcPSkpKkFKqf0t1KC8vx+fz0aNHj3brs3rzZvZd9EMsY8cwcPnKduu3U/DvhiM/Au9ngICMmyDr96Br282pqKgInU5HZmZmrfcriqtZ+0I++7YUM/zQuXxfXMaMH55Az0HONm2vSf4+DQq3wXUvQ4+84zaf/qePOFhazV8X/oB+mSm11j3y5SM8tuWxjrI0KUhJScHtdlNZWalEjKJLEc9ggNeByyKzlKYCruPFw3R1VABrw6j9UgfTYOi/FrLuAHRQej/snwq+7W3qtrHgXkeWlXk/GcMZ143GnmGm+KCbl+7fxMfP7sDrUcHAyYAQgtTUVPx+P16vN97mKBTtRkdOsX4OWAecIIQ4JIS4UghxrRDi2kiTt4E9wC7gCeAnHWVLsqBu1g2j8sQ0gDBA1u2amDEOAt9m2Dceyv4OrTyGopl7G8tVNHBsNhffPpXxc/qhE4Jta4/w7zs+Y8e6AnXcJgFWqxWDwaBmKim6FB05O+mHx1kvgZ921PaTESViGqZm/aTosiKCdRoM2AyFN4BrORz9KbiehtTzwX4WmIZBM/dZzcy9er2+4TZmPdMWDOGEKb34z3PfciS/nA9XbGfb/44w4+ITyOxtb6cvpmhvot6YsrIyqqursVqt8TZJoWgzyTa3tEujREzDqErWx0GfCr2egt4vgi4dvJ9D0RLYOxz2DIOjvwDPhyCbTnhmNBoRQjQrMVpGbxvn/PJEZi0egTXVSMEuFy/cvYEPnvyG7Z8ewVVU3T2PZRmGsA9ClRAqgWABBPaDPx9820DGtz6VxWKJeWO65e+j6HIkxeyk7oISMQ2jKlk3E8f5YDsNPO+C+03wvA2BXVD2oPbQOcA2B+xngu10MGTX+nhLM/cKIRg+tRcDRmfx2Wt7+GbtYXauP8rO9UcBsKeb6T0sjdxh6fQemoYz29q+njQpNWEmvSAjQ2D+PeANg/RF3vdpAgLA+zWUP3Xs/XoPf+3ncAPvNdSu5jPHESmmPOj/P9B3YFB0E9T1xqSkpBz/Q60kHJaEQ2HCQUkoFCYckoRDEnu6WXlUFe2GEjEJRFTEqGGT2qhK1i1A7wDHBdpDhqD6M03QuN8A/zdQ+aL2QGhDUfYzwXYmmEeBEBiNxhYHflpsRmb+cBhjZ+Zw4JtCDue7OLKrCneZj52fH2Xn55qosTnD9B7oJXeQm9wBZTgzXAhZDbIawtURcRFZDuzTOj9yKVShvS+9EPZG2kUeUQL/AHrCoVPBdbS2gZU5QA5UroLvOiExuDBpD0zHloUJQqXab/Dd1dB7ZbOH+RojHAoTDEREQjBc+xHQhEMoWHt9OKQtu8or2Bssx2pJibwna7cN1e1XEyS1lyXhaJ+R9uFQmFBIe7+x07XXECdnXj8Wk0XdfhRtRx1FCYSK/WgY5YlpJUIPKSdpj5w/gH8veN7SRE3Vx1D9qfYougUM/cB+JlYxFFFdSrhQh45qCHtAeiBcVWM58jr6vqyCcBXphEnvC2P7gvyBoKR4IIcPjeXI4TEcOTQWj8tJ/uYU8jenADmk2IrJ7fMVvXO3k9tnM2nph47d18M2QA++r8DX1DCiEXQWEJGRccNAMGeDMIOwaM9GL1AB5tHg6Btpb27gYWp6WXdsWWIiFDISDJoIBQwEQwaCAT2hgCAYkIQCYYLBMKFAmFAgRDAQJuQ7Sqjw/wgFJEHLKkL6ccfaxdpqwiT6OrYcPCYaQpH3Ev50EKDX69AZhPasFwR8IQp2uXhn2dec+dOx6I0qokHRNpSISSDUzbphVExMO2EaCKbrIf16LWajanXES/MWBA9A+d8xA2YAX2s2YACdDYQVoUshq08KWX0PMVaUIsXnlBb34fCB/hw50IfD+3pQ5cki/9tZ5H87CwCrPUjuID+5gyW9Qw+SLjciej0NPUZEBEnkobMcEygiEoBs/AioJpz7AT67mYAvTNAfIhgIQdUL5Ja/jSw5m3zLHAL+EEF/mGBAew4FQgT8YUL+yHMg+tkazwFtfTDgIRioJBRo7bF4eY3lg422ag5CgN6gQ2/Uac+xZYFOH30dERCGGu8bdej1An/QhxBgT7VhMOnR6UWsH51eRNpFRIhBW9Ybj/UdbV/zWWfQ+tYZdOh09f+IuYqqeOn+Lzi0o4wPnvqG064a1WA7haK5iGS7YU6cOFFu3Lgx3mZ0CFVVVZSXl5OTk4PBoPRllEAgQFFREenp6e02o6JWsruVSZbsrr2RYfBuBPdbyGABnmowmtMwW9JB2DRhorPVWU6JLKdElq0gml/zS0pJWUEVh3eWcSS/nMM7y6iurB2LY9WV03tED+w9czTh4QsR8EVEhS9EwB957QtRVulHH5bo2zWFcdPoDAKDUY/eqMMQfZj06A06DCZNLBiiwqLmsu8D9MF16PV+DKknoU8/G4PJhD7Sl94gMBh16A16TYTUEijRhyYm2kL0vLLZbDidnRejU3yoklf+/CX+6iAjp/dm5sUnKM9zN0cIsUlKObE1n1V3ygRCeWIaRsXEdDBCB9bJYJ2MAKqLivDr9ZgzMjpuk0KQ0dtGRm8bo2f2QUpJ+dEqDu8s58jOMg5v3k1VMI3d3/jgm+N7LLTCBAKhA6NJj8Gsx2DSYzTpKQ4Wcth7kD5puQzJHoTBpI8JDu1Zh8Go157rrNNH19VoFxUlrfYgyMFQWglFvwVeAPNyyH1emw7fiRiNRmw2G1VVVaSkpMSm2Hc0WX1SmfeTMbz+181sW3uE6go/p1w2AotNFb5VtBwlYhIIJWIaRu2XzqU1wb1tRQhBek8b6T1tjDo5F/m3q3EVlHN42tP4jT0wmnUYzPqYQDGa9BjNmvAwmvWcvexT9pVX89GSmfTPstXq+5EvH+HNLY/xk3E/Yc7Y+Z36vRpE6CDzZkiZCUd+CL4vYe946PEIOBe1OeC3JaSmplJdXY3L5erUcie9h6ZxxrWjee8f37D3q2JW3rOeOVeN6thSFoouiRIxCYS6WTeMionpXEwmE1VVVQQCgU77d14XISDNcIS0iSnQo99x2/v1EBIk17CEdQoM+BKOXgcVz8F3l0PV+9Dj0U6bgq3T6XA4HJSXl3d6Arx+eZlceOsk3vvHNxTuq+CVB75gyjmDOPHUfggVJ6NoJio0PIFQIqZhhBAqh04nEi0Q2Jykd4o2ondCr2eh13It5qjiOdh3IlR/3mkmWK1WjEYjFRUVnf5HwZFl5dybxjPu1L6Ew5J1L+/mrb9vodqtjj1F81AiJoFQIqZxlIjpPPR6PQaDAZ+vVVOUFC1FCG0YaeAXYB4Pgb2w//tQcp8WdN3hmxc4nU5CoRBut7vDt1cXvUHHSecP5YyfjMFsM7B/awkr797AkfzyTrdFkXwoEZNAqADWxlFFIDsXs9mMz+dTx2JnYhoG/T+F9F8CQSj6DRw8DQJHOn7TJhMpKSl4PB6CwfiURhg4JosLb51Mr8FOPOU+Xv3LF2x8ex8yrI5BReMoEZNAKE9M4+j1+karKyvaH7PZjJSy2SUIFO2Ezgw9/gx93gZ9NlR9CPvGarl8GiLsg2Ah+HeBdxN4PobAgVZt2uFwIITA5XK14Qu0jdQMC2f/8kTGz+2PlPD563t44+HNVFWo4SVFw6jA3gRCiZjG0ev1anijEzGZtEnLPp8vtqzoROynw8AtcOQyqPoADp2plYkIeyFcEXm4Gi7qqUuHwXtAn9aiTep0OlJTU3G5XHGtcq3X65h2zmByh6axevk2Dm4vY+Xd65l9xUj6DO+4af+K5ER5YhIQJWLqE/XEqH3TOeh0OkwmkxKO8cTQE/q+C9l/AgxQvU6bjh3YDaGiiIAxgD4TjIPAPA70PSFcBq4nW7XJaL6YioqKuJ9r2uylyeQOS6Oqws9rD23m8zf2EFbDS4oaKE9MAqFm4TSOXq+llw+Hw7FlRcdiNpuprKwkHA7H4rUUnYzQQeYSSF2oiRedUyvyqXNqVcmFpXZemco34PB8KHsY0n9+rCxDczcXCfItLi6msrISh8PRzl+oZdjSzMy/8UQ2vLWXjW/vY+Nb+yjIL2f2FXnY0rRZdKFgGL83iL86hN8bJODVnqPLPQY6yepjj+v3UHQcSsQkGErENEz0JhoKhZSI6SSiIsbv92OxWOJtTvfGNEB7HA/7PDAO1gSP+3VIXdDyTdUI8k1JSWm4BIr0Q6gMQuUQLteGtkLRZ5f2Xsilva617NIEWNp14LxMK1dxHHQ6wZSzBpE7NI0PntzG4Z3l/Ov2zzAYdfi9QcLBpq+XJquBS38/DYtdZQTuiigRk2AoEdMwUeGigns7D6PRiBACn8+nREyyIHSQ/jMovBFKH2pcxMgwhCsjAiMqRo49O4NlGKuPEDpYicFQdaxd9FlWt83Oo9dC8W2QfgOkXwf648e69BmewYW/nazFyWwrJejTrgU6ncBo1WOyGCIPPUaLAZNVT8khN2XfVbHp3X2cdP7QttmsSEiUiEkwlIhpGCViOh8hRGyqtSKJcF4Oxb+D6v9AwRUQroJQKYRLI4KlTPOI0HjKAgHEijc0+PMbtMBhXVqNZ2dkmKvGsj4t8p7z2HvejVDyJ/B9AcW/hZI/gP1MkAGQVZB+I9jnNGhXisPEWT8bi6fch06vw2TVCm42lqm56EAlL9y7ga8/OcyYU/qSmqHEeFdDiZgEQ4mYhtHptAuVyhXTuZjNZrxerxrGSyb0DnBeCWUPguupxtvp7BHBka7NaNKnHXvWpyN1TiqrDISlA2fGAIQ+XWurT9OyC7e2xINpMKReAFUfQ+mfwPMeVNapJN+IiAHtGmlPb54Yye6XytCJOeRvLGT9G3uYtWhk62zuAEKhMIHqEL7qaPzOsbieYCBM76FppOWkxNvMhEeJmARDiZjGUbliOp+aU61TUtQFNWnIuguM/UEYtaEaXbr2HBMsTm1dEwjAYvdTXFyMLmTHYWvHIF8hwHaK9vBu0bwzgd1Qci/I9j3HJ88fxO4vivj2s+8YN7sfmb3bHuQrwxK/L4S/OoivKoi/OoCvOoS/KvJcHYi8H8QXaxPE79VES6BaEyrHo9dgJydM7cmQCTmYU1RMT0MoEZNgKBHTOErEdD5GozGWo0eJmCRCnwoZN7a5m5pBvtEaS+2OZYz28KzWRExgFwSLwJDdLt2n5aQwcnpvtv7nMJ+9uod5PxlDKBSuIUCCDQoOX3X9df4qzWviqw5CGy/TQmhBx6ZI/I72rMX0hMOS/d+UUrDbRcFuF2tX5jNwbBYnTO1J35EZ6PWR7O5hCclW+LSdUSImwVBDJo2jEt7Fh+iQkqJ74nA48Pl8lJWVkZ2d3XE3TOs0Ld9NYA8cOBn6vg/Gvu3S9cQzBrDjs+/Yt6WYx3/+HwK+tv8ZMpr1mFM04WG2GjClRJ6tNZ7rrDdZjq0zmBqP5QHwe4Ps2ax5kA59W8auTYXs2lSIxWbEYNbFhp4ye9tYeMukmLDpbigRk2AoT0zj6PV6wuEwUspu/c+jszGZTFRVVREIBDrmn7giodHpdKSlpVFSUtKxuWN0Nuj/Xzg4B3xfa0Uw+74H5uFt7trmNDPx9P589uoeAr6Q5gWJiA5zihGTVY/ZatTes9QRJDWESHTZZNGj62DRYLIYGD61F8On9qKy1MvO9d+xY913lB+tAs+xdiWHPVRX+JsdJ9TVUCImwVAipnF0Oh1SSpXwrpMxm7WkYj6fT4mYborZbMZms+F2u7FYLB1XisLQC/p9AgfngfczOPB9rY6UdXL9tmEvhEpqP8KlNV6XavlpnIsgdT7j5/RnxPd6ozfqMJn1CF3y/BFKzbAwYe4Axs/pT0VxNUIITFYDz931OVWu7l1XSomYBEOJmMapOc1aiZjOQ6/XYzQa8fl82O0q82l3JTqsVF5eTlZWVsdlcdZnQL/VcHgheN6BAz/QpmCHogKlWHuWVc3rL7gfUucjhCDFkdx1wIQQOLNTar0GOLSjjOHTesXLrLiiREyCoURM46hcMfEjOqSkhvK6L0II0tLSKC4upqKigrS0tI7bmM4GfV6Dgiuh4hmofKGBRkatblTskVF7OeyGkrsheASK7zomfmo+RAr0fafdYm86m2GTevDlBwf4cMV2ju6t4KSFQzAYu9cfPCViEoyoiFE3i/ooERM/zGYzHo8Hv98fG15SdD9MJhN2uz02rNShmZyFEXotB8dFWoI+fVZt0aJLbTpXjW97RMQUQPHtjber/i8Yf9ju5ncG084dTGqmhf+uymfrmsN8t9fFnKtGkdaj+8wkVCImwYgKFyVi6qMS3sUPs9kcK0GgREz3JjU1FZ/Ph8vlwmQydWxxUKED+xmt+6xpOGT9HoKHagigGkKo+E5tuMqfDzIIIvluh0IIRs/sQ89BTt59YivFB92svHcDMy4axglTe7bpHhIMhPBVBfF6tJw32iOAzWmm74jjl4noLJLvV+vi1BQxivqoXDHxQQgRi4tRdG9qDiu5XC7S09PjbVLDCAFZv218vbG/9lx8O5T9HRyXaEUpLWM7x752JLtfKhfcMolPnt3Bro2FfLhiOwe2lTLj4hMQAk2IeDRBEhUl2nsBvFVB7TkqViLvhZpIxvej30/DmX384p2dgRIxCYYSMU2jREz8iFa1DofDHfvvW5HwGI1G7HY7lZWVWCwWrNbEuKG1iOz7wNAHKp4G/04o+4v2sEyA3NfAmBtvC1uE2WrgtCvz6DcygzXP7yR/w1HyNxxtdX86vcCcok1Bt9i05+/2uGIeGbAiwzKSIDCA16MJoKhACvhCDDoxu8NLJygRk2AoEdM0KuFd/IiKGJ/Pl5w3LUW7Yrfbaw0rJd2MQb0Tsm6FzFvAux5cT0PFv8C7Cao+Auelx9pK2fpaUZ2IEIIR3+tNz0FOVi/fTuG+CgwmHRabEbNNEyOWFG3ZnGLAYjNq6yLL5ohYMacYMJr19YajXrh3A0UHKnn70a9jw01NZS7+bo+LM64b06HfWYmYBEOJmKZRCe/ih9FoRKfTKRGjAI4NKxUVFeFyucjISJw4iRYhBFinaI9wpTYbqvTPUP4oBAshVAQIyL4b0n6aFGImvaeNhUsnEgqG0Rvaz2vqyLRQdKAST/mxP5ImqyHmqYl6bgK+EAe+KcHv7XivuRIxCYYSMU2jEt7FDyEEJpNJecIUMQwGAw6HA5fLRVVVVfLX19Jnas++r+qvO/ozqF4HPR/XpoAnAe0pYABOvWIkJx72aNmLbVoW44YyFx/cUcqBb0radduNoURMgqFETNOohHfxJVpHKRgMYjCoy4cCbDYbXq8Xl8uF2WxO7vMy63dgGa+JFH0OGHK0Z897kZw1/4bAXui3JilnM7UVg1FPjwHtU3ZCSonfG8LrDrTNpnaxRtFuKBHTNCpXTHypWYJAiRhFlOiwUnl5ORkZGck71KvPqB0LE8VxIZjHwMHZmjem7JF2qRLe1aksqebTl3dps6LcgVrPPk+QcLjt9zl1FUoworM+lIhpmKiIUbli4oPBYECv1+P3+7HZksOlruh49Ho9DoeD8vLyji0SGU/MI6DnMjh0FhT9FlLPBWO/eFuVkBgiw1gVxV6+fP9Ao+2MFj0WW9vqsSkRk2AoT0zTRBPeKU9M/IgOKangakVNUlJS8Pv9uN1uTCZTx2bzjRf2MyH1PKh8CY5er03FVudAPXoMcjJl/kC8VUEsNiNWuzYLylLnORqzs+je1m9LiZgEQ4mY46NyxcQXs9lMVVUVgUCg46oZK5ISp9NJIBCIFYnskkOOOX8FzwfgfkMTM47z421RwqHTCSaeMbBzttUpW1G0GCViGkeJmPgSjYvx+/1xtkSRaAghYlOty8rKuuZ1zNhbS5QHmjcmVBpfe7o5SsQkGEIIVcn6OCgRE190Op0qQaBoFL1eT3p6OoFAAJfLFW9zOoa0a8A6HUJHofBX8bamW6NETAKiREzT6HS6WMI7RXwwm834/X71G7SBsAxT4C6g0l8Zb1PaHbPZTGpqKlVVVXg8nnib0/4IHfT6BwgzuJZDxXMQOAihCpBq0kFn0gUHLJMfJWKaRq/Xq4R3ccZsNuN2u/H7/aqq9XGoDlazv2I/+1z72Ovaqz0q9rK/Yj/VwWpSTamsPn81KcYkTxRXh9TUVAKBABUVFRiNxq4XP2UaBll3QtFSOHJxjRUCdA7QObXSBjpn/WVjLjgXg84eL+u7DErEJCBKxDSNSngXf0wmE0IIfD6fEjFoMWzF1cUxkbKv4phgOeI50uRnK/2VlPvKu5yIgWP5Y8rKysjOzu56hUMzfqV5YKo+grALQi6QHm057ILgcT6ffn2nmNmVUSImAVEipmlUwrv4011LEPhDfg5UHKglUqKixR1wN/gZgzDQ19GXgY6BDHAOYKBzIAOdAxngGMDCNxZS4Cno5G/Rfnh8QfYWezhUVs34/mnkpNaeVq3T6cjIyKC4uJiysrLkToTXEMIAPR+p/Z4MQrhCEzRRMVNzufIlqPpEG3pStBklYhIQJWKaRiW8SwzMZjMVFRVd0iNW5i2rJ1L2uvZyyH2IcCMxDw6TIyZQBjoHxkRLn9Q+GHVtS+gVT0JhyeGyanYXu9lb5GFPsZs9RR72FHn4rsIbazdreA7/XDyp3ueNRiNOp5Py8nLcbjepqamdaX7nIwxa5l99IwUxg0c0EaNoF5SISUCUiGkalfAuMbBYLFRUVFBdXY3dnnxj+8FwkEOVh+oN/+yt2IvL1/CsGp3Q0Te1by2REhUt6eb0pPYylFf52V3kYW+xhz1FEaFS7GZfSRX+YMPCzaTXkZ1q5nB5NcXuxr1y0UR4lZWVGI3GrpkITxEXlIhJQIQQystwHNQ06/hjMBgwGo1JI2K2Fm/lwU0PxgTLgcoDBMMNBy3YjLZ6ImWgYyD9HP0w6ZM3QNUfDHOg1NOAWPFQ6mk8709Ph4VB2TYGZdsYmGVnULaNwVl2ctOtfH3YxTl/+99xt90tEuEpOh11FCUgyhNzfJSISQysVisVFRUJXdVaJ7Rg0jWH1rDm0Jpa63rZetWKUYkuZ1uzk9arIqWkqNJXW6hEng+WVRNqpOheikl/TKRkaYJlcLadgVk2bOa2/7ZCCNLT02PxMVlZWUm7jxWJQ2Jedbo5SsQcH71e3+2CShORqIiprq5O2FiH0/qfxpaiLaSaUmvFrPRL7ZfUM4Kq/aFYfEpNsbK3yEOlr2EPk05Av4wUBkZEyqBsO4OztOceDnOHiwqDwUB6ejolJSWUlZWRnp7cQ3CK+KNETAKiRMzxqZnwTl0E44der8dsNie0iBmSPoRls5fF24xWEQ5LDpdXR8RJ1KOiCZYjLm+jn3NajZpIiQ79RARLv4wULMb4BmGbzWacTicul4uKigqcTmdc7VEkN0rEJCBKxBwflfAucbBarZSXlxMIBDAak3cWTjyp9Ab4srQs4lHx1PKw+BoJqjXqBf0yUhiUfSxGJepdSU8xJrS4t9lshEIh3G43er0+KWKqFImJEjEJSFTEKC9D46iEd4mDxWJBCEF1dbUSMU0QCIU5UFoVESeaSCmq9IEO5j64FhlMb/Bz2anmSIyKPeJR0eJW+qZbMeiTN3mcw+EgFApRUVGBXq/HarXG2yRFEqJETAISFS5KxDSOyhWTOOh0utiQksPhiLc5cUVKSbHbz54it+ZVqTED6EBpFcE6QbW2IWF0OjAbdQzMdkQ8KppgGZhlY2C2DYel6wrDtLQ0wuEw5eXlseNIoWgJSsQkIDVFjKJhVNbexMJqteL1evH7/V2vRk4DeAOh2NBP1KuyOyJYKr0NB9UKAblp1lqzfp7cb6LUD6t/MYM+jtxO/hbxp6EZS4k6y02RmKijJQFRIub4qIR3iUXNIaWuJGJ8wRDfflfJ14dd5B91szviVTniqqax0zPVYtDiVLJssWEgbQjIVi+o9tkjevCDTtd9Pa46nY7MzEyKi4spKSkhKytLDRErmo0SMQmIEjHNQ+WKSRyEEFgsltiQUjIOg3oDIXZEBMvWQy62HnGx82glgVD981CvE/TLTInlU4mJlmw7WXZTUn7/eKLX62M1lkpLS7t4DpnI9/J9CTIMInnjmhIBJWISECVimocSMYmF1Wqluroan8+X8GnlvYEQ2woq2HrYxdbDLr4+XEH+0cp6MStCwOBsG6NznQzv5WBwxKvSLyMFYxIH1SYiRqOR9PR0ysrKunYOGfsCKP0zVK6CgsXQ60mt3pKiVag9l4AoEdM8dDodfn/jqdIVnYvZbEan0+H1ehNKxFT7Q2wrcLH1cIXmZTnsIr/QXS9zrU7A0Bw7o3Od5OU6GZ3rZGRvB/Z2yFaraB4WiyVWLNLlcpGWlhZvk9of60To8zYcmg8Vz0DYA73/DToV1Nwa1NmZgCgR0zz0er2anZRA1BxScjqdcfkX7fEH2bCvNOJd0QTLrkI3dTPt6wSc0COVUblORuU6YoIlxaQuifEmJSWFYDCI2+3GYDB0zRwytlOg32o4eDq4X4bDZ0Puy6BL3gzS8UKdsQmIEjHNI5rwTuWKSRysVitVVVV4vd645P04/aG19d7T6wTDe9gZFfGujMp1MrKXA6tJHTOJSs0cMjqdjpSULnhzt06Ffh/DwdPA8x4cnAt93gJ9Yma+TlSUiElAdDptrF2JmKZRCe8SD5PJhF6vp7q6ulNFTJ+0FA6WVmPQCYb1SI15V0blOhnRyxH3VPuKlpOWloaUkvLycoCuKWQs46DfGjh4KlSvBddTkHFDvK1KKpSISUCUJ6Z5qIR3iUd0SKmqqopwOBwT5B3NE4smcqCkikHZ9acxK5KTaA6Z0tJSysvLEUJ0zay+5uHgvBJK7oJQabytSTpUeH0CokRM81AJ7xITq9WKlBKvt/EChe2N3WxgZG/lcelqCCHIyMjAbDZTVlZGdXV1vE3qILrgLKxOQomYBEaJmKZRCe8SE5PJhMFg6MI3HEVnEhUyJpOJ8vJydVwpaqFETAIihFCVrJuJyhWTmFitVnw+n/ptFO2CEILMzEyMRiPl5eWd6uVTJDZKxCQoSsQ0DyViEpNonhh1s1G0F1GPjNFopKysTB1bCkCJmIRFiZjmodPplIhJQIxGI0ajUbn+Fe2KTqerJWR8Pl+8TVLEGSViEhQlYpqHSniXuFitVvx+vxKZinYlKmQMBgOlpaVKyHRzlIhJUJSIaR41E94pEovodFjljVG0N9HK10rIKJSISVCUiGkeKldM4qLX6zGZTErEKDoEJWQUoERMwqJETPNQuWISG6vVSiAQIBAIxNsURRek7tCSEszdDyViEhQlYpqHEjGJjZqlpOho9Hp9bPp1WVkZVVVV8TZJ0YkoEZOgKBHTPFTCu8RGr9djNpvVP2RFhxIdWrJYLJSXl1NZWRlvkxSdhBIxCYoSMc1H5YpJbKxWK8FgEL/fH29TFF2YaK0lq9VKZWUlLpcr3iYpOgElYhIUJWKaj8oVk9hYrVZ0Oh0ejyfepii6OFEhY7fb8Xg8lJWVqetoF0dVsU5QlIhpPnq9XgWOJjBCCFJSUnC73Tgcjlgck0LRUTgcDnQ6HRUVFYTDYTIyMmKFdX3BELsK3ewoqGR7QQU7vqtkb7GHLLuJwTl2huakMiTHzpAcO/0yUtDrVHHGRKZDRYwQYi7wEKAH/iGlvK/O+n7ACiAt0maplPLtjrQpWYiKGCll7ORTNIxer1eBowmOzWbD4/Hg8XhwOBzxNkfRDbDZbBR7Anz27VH2lB3mQEWQb79zs7vITTBc/w/i4fJqvjpUewjKpNcxKNvG4Bw7Q7LtDO2hiZuBWTbMBiXGE4EOEzFCCD3wN2A2cAjYIIR4XUq5rUaz3wIvSCkfFUKMBN4GBnSUTclEVLgoEXN8aia8U//yExO9Xo/FYqGqqorU1FR1TCvaFW9A865sL6hge0ElO77TPCylnvpxWELAoCwbw3ulMqKng+G9HAzOtlFU6WNXkZtdhcceBS4vO76rZMd3tQOFdQL6Z9oYnG2PeW2G5tgZnGPHblYDHJ1JR+7tycAuKeUeACHE88DZQE0RI4Ho3zIncKQD7UkqaooYRdPUTHinREziYrPZqK6upqqqCpvNFm9zFEmIlJLvKrzsKKhkW2QoaEdBBXuKPYQa8K44LAaG93JwQo6NPqk6hmZbmTS0D6kp5nptB2XbmTIos9Z7ld4Au4s8tYTNrsJKDpRWsbfYw95iD6u3H631mV5OS0zYDIl5cFLJsJnad2cogI4VMbnAwRqvDwFT6rS5A3hfCPEzwAac2oH2JBVKxDSfmrlijEZjnK1RNIbJZMJkMuHxeJSIURwXbyDEzqOVNQSLJlrKq+rHv+kEDM62MaKXgxG9HAzvmcqIXg56OS2xa2kgEKCkpARPRRkmfTpmc30hU5dUi5FxfdMY1zetnm37SjzkH40ImyI3u4662VvsocDlpcDlZW1+ca3PZNhMDMm2M6SHJmyG5GjDUz0dFpRfsvXE2+/1Q2C5lPLPQohpwDNCiFFSylo55IUQPwZ+DNCvX784mNn5KBHTfHQ6bZKdmqGU+NhsNsrKyvB6vbFEeIrujZSSIy4vOwoqtOGgiHdlb7GHBpwrpKUYI8NA2nDQiF4OhvawYzE27YU1Go1kZ2dTWlpKSUkJTqez1WLaYtQzvKeD4T1rx3cFQ2EOllWzq9BNfmEluwrd7I54cEo9ftZ7Slm/r7TWZ+xmA4PTRzDY9guG9u7JkIFHVVBxC+hIEXMY6FvjdZ/IezW5EpgLIKVcJ4SwAFlAYc1GUsrHgccBJk6c2C3u6krENB+9Xq8S3iUJFosFvV6Px+NRIqYbUuUPsvOou55gqfAG67XV6wRDI96VmoKlh8Pc6pgqvV5PVlYWZWVluFwuAoEATqez3WK0DHodA7NsDMyyMXtkj9j7UkoKXN7YkFR+VNwUaeLmq+/sfMUs2A2s3QiAyaBjUJYtMmPq2PCUCiquTUeKmA3AUCHEQDTxchFwcZ02B4BZwHIhxAjAAhR1oE1JgxIxLUMlvEsOhBDYbDYqKioIBAJq+K+LIqXkUFk1O76LTmOuYEdBJXtLPDR0ScuwmRjRKzXi3dCGgobkHN+70hqEEGRkZFBZWUllZSXBYJCMjIyYR7cjEELQO81K7zQrJw/LrrWuxO1jV/7D7DrwIbt857GrcnSLgoqH5tg5oWcqeb0d3TJgvsNEjJQyKIS4HngPbfr0k1LKb4QQdwEbpZSvA78CnhBC/AItyHexVHdtQImYlqIS3iUPKSkpVFZW4vF4SEtLi7c5inbiaIWP3726NSZYKn31vSsGnWBIDzvDe6YyPBK/MqJnKtmprfeutJbU1FQMBgPl5eUUFRWRkZERF1GdaTeT2beaKdZ3gXfBPAqsJ+PWn8xuzwTySyzNCioelGXj4in9OG98H9K7URBxh8bERHK+vF3nvdtqLG8DTupIG5IVJWJahkp4lzzodDpSUlJi063VjLLkRh+5Vn1X4eWZz/bH3s+ym2oF2Q7v6WBwTmINhVitVvR6PWVlZRQXF5Oenh6fYU7HRVD1CVT/D3xbwbcVO39nLDA2bSj0PllrYzs1FlS8q9CtBRYXudm4r5Q9xR7ufms7f3rvW+aN7sUlU/oxoX96l/fOxDuwV9EIUdemEjHNQyW8Sy6iye+iQkaRvIzs7eCSKf2o9oe02JWIYMlOPf7sn0TAZDLF4mRKS0txOBzY7fZONmIo9PsQwj7wboCqNVD9H6j6HwTywZUPrqdhaCEWY1q9oOJgKMzH3xbx7Of7+c/OIl758jCvfHmYE3qkcvGUfiwYn4vD0jWHbpWISVCUJ6ZlRBPehcPhDh3bVrQPBoMBi8WCx+PBbrd3+X+LXRm9TnDPgtHxNqNN6PV6MjMzKS8vj8VrpaWldf5xqTNDyve1B7eADIL3S/juKvBt0cRN6vx6HzPodcwe2YPZI3twsLSK5zccYOWGg3x7tJLbX/+G+97Zwfyxvblkaj/G9Enr3O/UwairfYKiREzLqJkrRpEc2Gw2wuEw1dXV8TZFoYgVj3Q4HFRXV1NcXEwwWD+up3ONMoB1EtgXaK+rPjruR/pmpLBkznA+XTqLv108nu8NzqQ6EGLlxoPMf+R/nPnwWp5bfwBPAzFLyYgSMQmOEjHNQ4mY5MNsNmM0GlV1a0VCYbfbycjIIBQKUVxcnBgi2/YD7bkZIiaKyaBj3phe/PvqqXz0qxlcPX0gaSlGth6u4Dcvf82Uez/kd69uZXtBRQcZ3TkoEZOgCCFUJesWoBLeJSc2m41AIIDP54u3KQpFDIvFQnZ2NgaDIZZTJq7XYstUEBbwfQ3BlmchGZRt59Z5I/nsN7P4vwvHMrF/Om5fkGc+28/pD63l3L//j5c2HcIbSL7rpxIxCYwSMc1HJbxLTqxWKzqdTnljFAlHNE7Gbrfj8XjiO7ykM4P1+9py1Set7sZi1LPgxD6suu57vHvjdC6b1p9Us4EvDpTzqxe/Ysq9H3LXG9vYVehuH7s7ASViEhglYlqGyhWTfEST33m93vjHHygUdRBC4HA4EmN4KaXlQ0pNMbyng7vOHsXnt87ij+eNZkwfJ67qAE/+by+n/uU/XPT4Ol7/6gi+YGJfU9XspARGiZiWodfrCYfDx2+oSChSUlJwu914PB6cTme8zVEo6hEdXiorK6OsrAy/34/D0ckZcm2nQDFQ9XG7dptiMnDhpH5cOKkfXx9y8e/1+3n1yyN8tqeUz/aUkmkzcdHkvvzslKEdkkG5rShPTAKjREzLUKUHkhO9Xo/VaqWqqkqJUEXCEvfhJcsE0NnB/y0E6pYhbB9G93Hyh3PH8Pmts/j92XkM75lKicfP3z7ezcc7Co/fQRxQIiaBUSKmZSgRk7zYbDaklFRVVcXbFIWiUeI6vCSMYD1ZW/a836GbcliMXDptAO/8fDpz83oC4E3QYSUlYhIYJWJaRs2Ed4rkwmg0Yjab8Xg86phXJDwWi4WsrKzY7KXy8vLOue7YT9eeC28Az+oO35wQAosxsWVCYlvXzVEipmWoXDHJjc1mIxQKqfIRiqTAYDCQmZlJamoq1dXVFBUVdXyqgLRrwHExhN1w8AyoWNmx20sClIhJYJSIaRkqV0xyY7FYMBqNVFZWoo56RTIghCA1NZXMzEyEEJSUlHRsThlhhF7PQPovgAAc+SGUPtwx20oSlIhJYJSIaRnKE5P8OBwOgsEgUg0JKpIIk8lEdnZ2rLBpUVERfr+/YzYmdJDzZ8j+IyC1oaWiW6Cb3iuUiElglIhpGSrhXfJjNpsxm82ElIhRJBlCCJxOJ5mZmUgpKS4upqKiomOu4UJA5q+h13JADyV/0IpEyu6Xa0mJmARGiZiWoxLeJT8Oh6Pb/qtUJD9ms5ns7OxY/qPi4mICgUDHbMy5CPq8BsIKrifh8LkQTp4ZflJKit1tiyNSye4SmKiIkVJ2fkn4JEVNs05+jEYjoVh8U5jES6+lUDSNTqcjLS0Ni8WCy+WiuLiY1NRUbDZb+1/L7fOg30dwcB6434CDs6HPG6DPaN/ttJFit4+dRyvZVehm59FKdh51k3+0krKqtgk8JWISmOjBrkRM8zEajYlRdVbRJqJB2p4qD44426JQtBaLxYLJZMLlclFRUUF1dTVOpxOTydS+G7JOhf7/hYNzoPpT2D8d+r4Hxj7tu51mUOL2aQKlsJL8o5pgyS90U+ppOEYo1dw2GaJETAJTU8QomofRaMTj8RAMBjEY1OGdrESPfV+kppL6LRXJik6nIz09HavVGvPK2Gw2UlNTY2K9Lfz1r3/l0UcfZeTIkRw5nM0XXx7inp9v46Yffw/6vgPmvOP2UVpayoUXXsi+ffsYMGAAL7zwAunp6fXa/frXv+att94iHA4zfeYpXH7TnRHPyjHRUtKIWLGbDQztYWdojp1hPVIZ2iOVYT3s9HRY0N3V+u+vrgwJjBIxLcdoNAIQCATUja8LIISgoqKCjIzEco0rFC0l6pWprKzE4/Hg9XpxOBxYrdY29fv3v/+d1atXYzKZ2L9/P6++/DzoXobgPtg/DXo/D/YzmuzjvvvuY9asWSxdupT77ruP++67jz/+8Y+12jz3xmrWvfEB037+GLsL3ax47EZed/XB0m9MrXZ2s4EhOXaG9bAzNCeVoT000dLLaemQEQV1lU9glIhpOQaDASEEgUCgzRcHRfyxWq24vF78fn/7u+AVik5Gp9PhdDpjXpmysrLYEFM0RURLuPbaa9mzZw+nn346V1xxBb/4xS946623wPZjSN0MlS/AobMg534tt0wjIuK1117jk08+AWDRokXMnDkzJmJ0kc+szS+mtKySz/ILAYlOhhk5uB8TxvRhWI9UhkTESu8OEiuNoURMAqNETMsRQmAwGDpuNoCiU0lJScEt9FRUVJCVlRVvcxSKdsFkMpGVlYXH46GyspLCwsJWBf4uW7aMd999l48//rj2+SGMmgemJA+Kb2f6ab+isvqeSIzMsf4feOABTj31VI4ePUqvXr0A6NmzJ0ePHo21WTixL4WVPnpOmM2WwA4+feJydMAvrv8p9/7+krbuijajREwCo0RM6zAajSp1fRdBCIHdbsflcuH1erFYLPE2SaFoF6LHdtQrEw38TUtLiw2Lt3EDkHUbmEaw9tlFIEvBOhJyXwZDdpN21RRS0wZnMm1wJrt27eLnywv47ohWQXv27NmsXbuW6dOnt93WNqDyxCQwSsS0DqPRSDgcVlOtuwgpKSkYDIaOSxymUMQRvV5PRkYG6enphMNhioqK2regpGMh0684gXELjIyb+1/Gjc5l3NjhjBs3jtWrtSKSPXr0oKCgAICCggJycnLqdfPKK68wdepU7HY7drud008/nXXr1rWPjW1AiZgERomY1lEzuFeR/AghYuUI1PR5RVfFarXGShdUV1dTWFiI2+1ul+v/2v99yeav97P5nUlsfiXA5hcPs3nt7zn11FMBmD9/PitWrABgxYoVnH322fX66NevH//5z38IBoMEAgH+85//MGLEiDbb1laUiElgotPvlIhpGUajMRbcq+ga1JzZoc4HRVclGvibnZ2NyWSioqKCoqKiZg2Pf/fdd/Tp04e//OUv3H333fTp04eKiopjDQy9oN9/wPFDrQr24XOg4jkAli5dygcffMDQoUNZvXo1S5cuBWDjxo1cddVVAJx//vkMHjyY0aNHM3bsWMaOHctZZ53V7vugpaiYmARGeWJahwru7Zo4HA6Ki4vxeDzY7fZ4m9MumPVmAN7e+zZXjb4qztYoEgWDwUBGRgZer5eKigpKS0sxm804nc56qSP27dsXWz506FDTHeus0OtZMA6GkrvhyKWAgczMhXz44Yf1mk+cOJF//OMfgDbs9dhjj7X1q7U7yhOTwCgR03qMRmPHVZFVxAWTyYTFYsHtdrdfvECcuXL0lQA89MVDPPzlw+pcV9TCYrGQnZ2N0+kkEAhQVFSEy+Vq2/EvBGT/HjJ/C4TgyMVQ+Wp7mdzpKBGTBKgLW8tRwb1dk9TUVMLhMG63O96mtAvnDDmHe79/L3qh5/Etj/PHDX8kLLuGQFO0D0IIbDYbOTk5pKSk4PF4KCwsxOPxtO3ekHUXZNwMBOHwBeB+s91s7kyUiElgolPdlIhpOSq4t2tiNBpjF/KuIlDPGnwWf575Z4w6I89uf5bbP72dULhrfDdF+1EzXsZoNOJyuSgqKmp9sLsQkP0HSP8lEIDD54H73Xa1uTNQIibBUSKmdSgR03VJTU0FwOVyxdmS9mNWv1k8MusRrAYrr+56lSVrlhAIqWNXUR+j0UhmZiYZGRkIISgrK6OoqAifz9fyzoSAnAcg/QaQfji8AAKH29/oDkSJmARHiZjWoYJ7uy56vZ7U1FS8Xm+XmnL9vd7f47HZj2E32vlg/wf87OOfUR3sOt9P0b5YLBaysrJIS0sjHA5TUlJCSUlJy2MBhYCcB8E2D6QXXMs7wtwOQ4mYBEeJmNZjNBqViOmi2Gw2TCZT24McE4wTc07kyTlPkm5O53+H/8e1H1yL29814n8U7Y8QgpSUFHJycmLBv8XFxZSWlhIMBlvSEaT/TFt2PQlJFJelREyCo0RM6zEajYRCoS51k1NoCCFwOp1IKbvUsBLAiMwRLJ+7nJyUHL4o/IKr3r+Kcm95vM1SJDA1g39TU1Px+/0UFhZSXl7e/Ngx26lg6AuBPVD1SYfa254oEZPgKBHTelRcTNfGaDRit9uprq7ucrWyBqUN4unTn6aPvQ/flHzD5e9dTlFVUbzNUiQ4Op2O1NRUcnJyYudGYWEhLpfr+GJG6MF5hbbs+mfHG9tOKBGT4CgR03qUiOn62O322EyNruZxy7XnsuL0FQx2DmZX+S4WvbuIw+7kCrpUxAedTofD4SAnJwer1UpVVVXzxEza5YCAypcgVNpp9rYFJWISHCViWo9Op1PBvV0cIUQssLFWivUuQk5KDk/NfYqRmSM5WHmQy965jD2uPfE2S5Ek6PV60tLSYjlmomKmvLy84ZgZY39IORWkD1zPdr7BrUCJmARHiZi2oYJ7uz5GoxGbzUZVVVXrppkmOOmWdP552j8ZnzOewqpCFr+zmO0l2+NtliKJ0Ov1OJ3OmJiprq6OVcuuJ2YcF2jP3vhXqG4OSsQkOErEtA2j0UgwGOxyQw2K2qSmpmIwGCgvL++S54vdZGfZ7GWclHsSZb4yrnzvSr4s/DLeZimSjIbETGFhIWVlZcfEjM6mPSfJeaRETIKjREzbUHEx3YPosFIoFOqSw0oAVoOVh3/wMLP7z6YyUMk1H1zDp0c+jbdZiiSkppix2+14vd76YiZJUCImwVEipm0oEdN9MJlM2Gw2PB5Ply3+adQb+dPJf+LswWdTHazm+g+v58MD9asPKxTNQa/X43A46NGjB3a7HZ/PR2VlJUDSlL5QIibBiYoYJWRah06nQ6/XKxHTTXA4HOj1+i47rARg0Bm466S7uGTEJQTCAX71ya94Y/cb8TZLkcTUnc0E4PNpuWaqqqoS+lxSIibBEUIAqpJ1W1DBvd2H6LBSMBiM/aPsiuiEjpsn3cyPx/yYkAxx639vZeWOlfE2S5Hk6HQ6LBYLoHk2hRCUl5dTWFhIZWVlQsYWKhGT4CgR03ZUcG/3wmw2k5KSgtvt7tLiVQjBz078Gb+Y8Askkrs/v5t/fp08ScoUiY1Bryc7O5vMzEwMBgOVlZUcPXoUl8uVUHEzSsQkOErEtJ1oXEwinXiKjqU7DCtFuWLUFfxu6u8QCB784kH++sVfu/x3VnQeZrOZzMxMsrOzayXOKy0tTYiUBkrEJDhKxLQdFdzb/dDpdLGCeG531y+geMEJF3Dv9HvRCz1PfP0Ef1j/B8JJVMRPkfgYjcZY4rxofaaSkhIKCwvxeDxx83QrEZPgKBHTdvR6vQru7YZYLBZSUlKorKxMiH+MHc2Zg87kLzP/glFn5Lkdz/G7//2OYFh5HxXti16vJzU1lR49epCWloZOp8PlcsXKGnS2x1uJmARHiZj2QQX3dk+cTidGo5GysrLmV/NNYk7pdwp/m/U3rAYrr+9+nV+v+TX+UNecbq6IL0IIUlJSyMrKIisrC7PZHBtqKikpwev1dsp9S4mYBEeJmPYhKmLUfuxeCCFIT08HoLS0tFv8/tN6T+Px2Y+Takzlg/0fcMNHN1AdrI63WYoujMlkIj09PTbUFAwGKS0tjc1q6sg/EErEJDhKxLQPKi6m+2IwGEhLSyMQCOByueJtTqcwLmccT859kgxLBv878j+u/eBaKv1dd8q5oh3RZWjP/m9b/NHoUFNOTg7p6emxWU3RQOCO8M4oEZPg6HTaT6RETNtQIqZ7Y7FYsNvtVFVVUVVVFW9zOoXhGcN5au5T9EjpwReFX3Dle1dS5i2Lt1mKRCdlBuhSwfcl+He3qgshBFarlczMTHJycrDZbPj9/g7xzigRk+AoT0z7oNfr0el0cRcxMhAgcLQwrjZ0V1JTUzGbzbhcrrgfB53FIOcgnj79afqm9mV76XYuf/dyCqvU8adoAp0F7Gdpy5Uvtrk7g8EQK21Q0ztz9OjRWOxMm8xts4WKDkWJmPYj3sG97v/9jz1nzWfXzJlUb/0mbnZ0V6LxMTqdjrKysm6T/LC3vTcr5q5gSNoQdrt2s+idRRyqPBRvsxSJTOpC7blyVbt1WdM706NHj1qxM21BiZgkQYmYthPN3NvZ+zJwtJDDv/wlB6+8Cv++fSAlgSOHO9UGhYZOpyM9PZ1QKER5eXm8zek0slOyeWrOU4zKHMUh9yEWvbOI3eWtGypQdANsc0BnB+8m8O9p9+5rxs5kZGS0qS8lYhIcIYSqZN1OGI1GpJSdlsdABoOUrljBnjPOoOLtdxAWC4bs7E7ZtqJxTCYTDocDr9fbpesr1SXNksYTpz3BhB4TKKwu5PJ3L2dbybZ4m6VIRHTWGkNK7eeNqYsQIlarqbUoEZMEKBHTPnRmcG/VF1+y97zzOfqH+wh7PNhnzWLQm29iHTe2w7etOD42mw2r1dptEuFFsZvsPHrqo3w/9/uU+cq48r0r+eLoF/E2S5GIpJ6vPbdDXExHokRMEqBETPtgMBg6PLg3WFbGkd/+lv0XX4zv228x5ubS5+9/p+/fHsHUJ7fDtqtoOWlpad0qEV4Uq8HKX3/wV07rfxrugJtrPriGTw9/Gm+zFImG7XQQNvBuhLJl8bamUZSISQKUiGk/Oiq4V4bDlL34Invmno5r1UtgNJJ57TUMevMNUk/5QbtvT9F2aibCKysr61bnmFFv5E8n/4kFQxbgDXm5/qPr+XD/h/E2S5FI6KyQdZu2fPQ6+O56kIlXxkIk24k7ceJEuXHjxlrvBQIBDh061OapWolKKBRCCBHLGaNoPeFwGCklIhQiVFyMMBrbHKciAwFC5eXIiDgSJhP6tDSEwVCvbbC0FOn1ok9PR2e1tmm7XZrK7yDkh9ReoDfG3rZYLPTp0yc2NNgeeL1eSktLSUlJIS0trd36TQbCMsz9G+7nX9v/hV7oueuku5g/eH68zVIkEq5n4LurQPoh5VTIfQH06e26CSHEJinlxNZ8tv5VNgk5dOgQqampDBgwIDYluSsRCAQQQmBo4KaoaBnhcJhgMIg+EMCv16OzWjEPHtyqvmQoRLCwkGBJCWRkIAwGDD17onc6Gz0O/QcOEKqowNS3L3qnsy1fpWtTCAS9kD0UjJrYk1JSUlLCoUOHGDhwYLttKpoIz+12x2ZNdBd0QsevJ/0au8nOsq+Wcet/b8UT8PDD4T+Mt2mKRMF5KZiGwKFzoGo17JsCfV4H8/B4WwZ0keEkr9dLZmZmlxQwoIaT2pP2yLsjpSRYXo4vP18TMIAhMxPz0KEY0tK67HEYb4QQZGZmdojH1eFwxCpeezyedu8/kRFC8NNxP+VXE34FwL2f38s/vv5HnK1SJBTWaTBgA5jHQSAf9k8Fz/vxtgroIiIGUDcORbM4JmJa9/mwz4d/3z4Chw4hg8GYJ8fYqxdCr29HSxUN0ZHnudPpxGKx4HK5uuzQdFMsHrWY26bdhkDw0BcP8eCmB9WfJ8UxjP2g/3/Bfi6EXXDwdCj9a+svpu1ElxEx8eZ73/teu/SzZMkS8vLyWLJkCWvWrGH8+PFYLBZeeumldulfEfFs0bITT4bDBI4exbdrF2GPB6HXY+zdG9OgQSq2pYsQDfQ1mUyUlZV1q6nXURYOW8h90+9DL/T8c+s/Wf7N8nibpEgkdDbIfREyfweEofDn8N01WrxMvEyK25a7GJ9+2j5TFB9//HG2bNnC/fffT79+/Vi+fDkXXXRRu/Rdl85K+pZoCCFa9O8hVFGhDR0VFYGU6NPTtaGjjAzlAexiCCHIyMhAr9dTVlbWbWos1eSMQWfw26m/BWDNoTVxtkaRcAgdZN8FvZ8DYQHXE3DgNAgWx8UcJWLaCbvdDkBBQQEnn3wy48aNY9SoUaxduxaA5557jtGjRzNq1ChuvvnmBvuYP38+brebCRMmsHLlSgYMGMCYMWOOOyvp6aefZsyYMYwdO5ZLL70UgMWLF7Nq1bFMi1H7PvnkE6ZPn878+fMZOXIkS5cu5W9/+1us3R133MEDDzwAwP3338+kSZMYM2YMt99+OwAej4d58+YxduxYRo0axcqVK1uzu+KK5ok5PmG/H//+A/gPHEAGAugsFkwDB2HKzW1w5pGia6DT6WIxdqWlpd1S7Pd39I+3CYpEx3ER9FsDhl5Q/R/Y/z0Id773sstdiV0uV7tfdAwGA85mziT597//zZw5c7j11lsJhUJUVVVx5MgRbr75ZjZt2kR6ejqnnXYar776Kuecc06tz77++uvY7XY2b95c6/2m/u1/88033H333Xz66adkZWU1q5jWF198wdatWxk4cCBffvklN954Iz/96U8BeOGFF3jvvfd4//33yc/PZ/369UgpmT9/PmvWrKGoqIjevXvz1ltvAdr+TjaO5z2R4TDBkhKChUUgwwidDkNODvouHDyuqI1eryczM5Pi4mJKS0vJzMxEr2KeFIraWCdB/w2wf7IW8Ov7CqyTO9UE5YlpZyZNmsRTTz3FHXfcwddff01qaiobNmxg5syZZGdnYzAYuOSSS1izpuVu2oaC7D766CMWLlxIVlYWQLOKaU2ePDk2RfXEE0+ksLCQI0eO8NVXX5Genk7fvn15//33ef/99znxxBMZP348O3bsID8/n9GjR/PBBx9w8803s3bt2maLu0RCCEFjUiTkduPbvZvg0aMgw+idTkxDh2LIylICppthMBjIyMggFApRWlrabapeKxQtwpgLhvhlI+9ynph431RPPvlk1qxZw1tvvcXixYv55S9/2ahNn3/+Oddccw0Ad911F/Pnt1+SKYPBELvohsNh/P5jgVc2m61W24ULF7Jq1Sq+++47LrzwQkATTL/5zW9i9tXkiy++4O233+a3v/0ts2bN4rbbbms3uzsDIQTUESQyECDw3VFCrnKtjcmEsXdv9JFhOEX3xGQykZGRQWlpKWVlZWSoOCiFIqFQnph2Zv/+/fTo0YOrr76aq666ii+++ILJkyfzn//8h+LiYkKhEM899xwzZsxgypQpbN68mc2bN7dawJxyyim8+OKLlETylUSHkwYMGMCmTZsAbZiqqQDFCy+8kOeff55Vq1axcOFCAObMmcOTTz6J2+0G4PDhwzGPTUpKCj/60Y9YsmQJX3yRnMXjavpigiUl+PLzNQEjBIacHMxDhigBowDAbDaTlpaGz+ejvLxcTTtWKBKILueJiTeffPIJ999/P0ajEbvdztNPP02vXr247777+MEPfoCUknnz5nH22Wcft68NGzawYMECysrKePPNN/n973/PN998U6tNXl4et956KzNmzECv13PiiSeyfPlyrr76as4++2zGjh3L3Llz63lf6vZRWVlJbm4uvXr1AuC0005j+/btTJs2DdACg//1r3+xa9culixZgk6nw2g08uijj7Zhb8UPodNETLi6mnB1NQD61FQMvXqhM5niaZoiAbFarYRCISoqKtDpdHH3+CoUCo0uUTtp+/btjBgxIk4WdTzRVPnRKsyKthOqqsK/Zw8AwmjE2KsXutTUDh8qUGUHmknh9kjZgeGxsgNR4nm+V1RU4Ha7SUlJwdlEeYlkZ8N3G7jivSuY2GMiT819Kt7mKBKdfZPBuwH6f96qwN5uXztJoWgpOosFXWoqmEyYcnJUtl1Fs3A4HAghqKysREpJmiozoVDEFSViFN0SodNh7NuXYDCIbGK2kkJRl9SIx66iogIpJenp6UrIKBRxQo1NKLot7VEMUtE9sdvtOJ1OvF4vpaWl6hhSKOKEEjGKbosQAp1Op/J/KFqFzWYjPT0dv99PSUmJOo4UijigREwSoDwGHYcQAiml2reKVmG1WklPTycQCCgho1DEASViuil6vT5W32nhwoVUVVW1uc/bbruN1atXN7p+2bJlPP30023eTnsSne0VvflEa0zt27ePUaNGNfiZgoICzjzzzM4xsB3x+XxceOGFDBkyhClTprBv374G2z300EOMGjWKvLw8Hnzwwdj7v/vd7xgzZgzjxo3jtNNO48iRIwC8+eabSZfwsD2xWCxkZGQQDAZjuaAUCkXnoERMAtORF0Or1crmzZvZunUrJpOJZcuW1VrfmvpTd911F6eeemqj66+99louu+yyFvd7PNpSK0sIEfPGNJe//OUvXH311a3eZnPoiKKD//znP0lPT2fXrl384he/aLAQ6datW3niiSdYv349X331FW+++Sa7du0CYMmSJWzZsoXNmzdz5plnctdddwEwb9483njjjXYRwsmK2WwmMzOTcDhMSUlJtywaqVDEgw4VMUKIuUKIb4UQu4QQSxtpc4EQYpsQ4hshxL870p6O5JxzzmHChAnk5eXx+OOPA5rnYcmSJbE2y5cv5/rrrwfgX//6F5MnT2bcuHFcc801McFit9v51a9+xdixY1m3bh133XUXkydP5sQTT+Taa6+N3Ww3bNgQ+1e8ZMmSmNcgFAqxZMmSWPXpxx577Li2T58+nV27dtWrcN1UX3/84x8ZPXo0Y8eOZelS7aetWTl76dKljBw5kjFjxnDTTTcBtStkb968malTpzJmzJhYQj+AmTNncvPNNzN58mSGDRsWqwJel5kzZ3LjjTcyceJEHnroITZt2sSMGTOYMGECc+bMoaCgAIBdu3Zx6qmnMnbsWMaPH8/u3btxu93MmjWL8ePHM3r0aN58803C4XCzhcxLL73E3LlzAc1jM336dMaPH8/48eP59NNPAS3pYU1vzfXXX8/y5csBGD5nDjffdhujR49m8uTJMZGwePFirr32WqZMmcKvf/3rBm1vC6+99hqLFi0C4Pzzz+fDDz+s9523b9/OlClTSElJwWAwMGPGDF5++WVAm14cxePxxIY5hRDMnDmTN998s032JTvREgVKyCgUnUg0HqC9H4Ae2A0MAkzAV8DIOm2GAl8C6ZHXOcfrd8KECbIu27Ztq/deZ1NSUiKllLKqqkrm5eXJ4uJiWVhYKAcPHhxrM3fuXLl27Vq5bds2eeaZZ0q/3y+llPK6666TK1askFJKCciVK1fW69fn88lLLrlEvv7661JKKfPy8uSnn34qpZTy5ptvlnl5eVJKKR977DH5+9//XkoppdfrlRMmTJB79uypZ6/NZpNSShkIBOT8+fPl3//+d/nxxx/LlJSUWPvG+nr77bfltGnTpMfjqWXjokWL5IsvviiLi4vlsGHDZDgcllJKWVZWJqWU8vbbb5f333+/lFLK0aNHy08++URKKeXvfvc7+fOf/1xKKeWMGTPkL3/5SymllG+99ZacNWtWg/t7xowZ8rrrrpNSSun3++W0adNkYWGhlFLK559/Xl5++eVSSiknT54sX375ZSmllNXV1dLj8chAICBdLpeUUsqioiI5ePBg6fV6ZSgUiu2XvXv3xvZpTfbs2SPHjx8fe+3xeGR1dbWUUsqdO3fK6PH58ccfy3nz5sXa/fSnP5VPPfWU9O3fL/v17i3v+u1vpZRSrlixItZu0aJFct68eTIYDDZqe12+//3vy7Fjx9Z7fPDBB/Xa5uXlyYMHD8ZeDxo0SBYVFdVqs23bNjl06FBZXFwsPR6PnDp1qrz++utj62+55RbZp08fmZeXF9vfUkr5r3/9q1a7NnN0m5SHv5DSX1VvVSKc703h9/vld999JwsKCqTP54u3Oa1ifcF6OWr5KLn4ncXxNkWRDOydJOV2pKz6vFUfBzbKVmqNjswTMxnYJaXcAyCEeB44G9hWo83VwN+klGURQVXY5q3u6KB8DcOb/pf+17/+lVdeeQWAgwcPkp+fz9SpUxk0aBCfffYZQ4cOZceOHZx00kn87W9/Y9OmTUyaNAmA6upqcnJyAC1W5bzzzov1+/HHH/OnP/0Jj8dDWVkZo0aNYvr06VRWVsZKAlx88cWxf8Hvv/8+W7ZsiXlEXC4X+fn5sarVUaqrqxk3bhygeWKuvPJKPv3001oVrhvra/Xq1Vx++eWkpKQA9StnO51OLBYLV155JWeeeWa9+BGXy0V5eTkzZswAYNGiRbGaTQDnnnsuABMmTGg0bgOIFav89ttv2bp1K7NnzwY0b1SvXr2orKzk8OHDLFiwANBiFwACgQC33HILa9asQafTxepCRUsuNEVBQQHZ2dmx14FAgOuvv57Nmzej1+vZuXPncfsAuOj88wH44Q9/yC9+8YvY+wsXLkSv1zdqe10a81S1lhEjRnDzzTdz2mmnYbPZGDduHPoaiQDvuece7rnnHv7whz/wyCOPcOeddwKQk5MTi5Hp7hiNRjIzMyktLaWkpASn0xk7VxQKRfvSkSImFzhY4/UhYEqdNsMAhBD/Q/Pc3CGlfLcDbeoQPvnkE1avXs26detISUlh5syZeL1eAC666CJeeOEFhg8fzoIFC2LxF4sWLeIPf/hDvb4sFkvspuH1evnJT37Cxo0b6dmzJ7///e9j/TaGlJKHH36YOXPmNNkuGhNTl5o1lhrr67333muyb4PBwPr16/nwww9ZtWoVjzzyCB999FGTn6mJ2WwGNEEXdclffvnlfPnll/Tu3Zu33367lq1SSvLy8li3bl2tfiorKxvs/9lnn6WoqIhNmzZhNBoZMGAAPp+vWcNJVqu11m/wf//3f/To0YOvvvqKcDgcExs1q4gD9X63mlK7ZqK0pmpcNURU0NblgQceqBeflJuby8GDB+nTpw/BYBCXy0VmZma9z1555ZVceeWVANxyyy306dOnXptLLrmEM844IyZivF4vVqu1XrvuisFgICsri7KyMsrLywkGg7EkeQqFov2Id2CvAW1IaSbwQ+AJIURa3UZCiB8LITYKITYWFRU13eNw2TGPJnC5XKSnp5OSksKOHTv47LPPYusWLFjAa6+9xnPPPcdFF10EwKxZs1i1ahWFhZrjqbS0lP3799frN3rjy8rKwu12x2IT0tLSSE1N5fPPPwfg+eefj31mzpw5PProo7Gq1Tt37sTj8TS9zxqhsb5mz57NU089FQvkjFbOjuJ2u3G5XJxxxhn83//9H1999VWt9U6nk/T09JgX4Zlnnol5ZRrjqaeeYvPmzTEBU5MTTjiBoqKimIgJBAJ88803pKam0qdPH1599VVAm51TVVWFy+UiJycHo9HIxx9/zP79+9HpdM0SMcOGDavlHXK5XPTq1QudTsczzzwTi23q378/27Zti1U+/vDDD2v180LEa7dy5cqYR60mjdlel7Vr18Yqodd8NBRgPX/+fFasWAHAqlWrOOWUUxq8qUaPywMHDvDyyy9z8cUXA5Cfnx9r89prrzF8+PDY6507dzY6m6u7otPpyMjIwGaz4Xa7KS0tVVOwFV2czj++O9ITcxjoW+N1n8h7NTkEfC6lDAB7hRA70UTNhpqNpJSPA4+DVgCywyxuJXPnzmXZsmWMGDGCE044galTp8bWpaenM2LECLZt28bkyVphrJEjR3L33Xdz2mmnEQ6HMRqN/O1vf6N///61+k1LS+Pqq69m1KhR9OjRgwkTJsTW/fOf/+Tqq69Gp9MxY8aMWFXdq666in379jF+/HiklGRnZ8duhC2lsb7mzp3L5s2bmThxIiaTiTPOOIN777039rnKykrOPvtsvF4vUkr+8pe/1Ot7xYoVXHvttVRVVTFo0CCeeqr1ReZMJhOrVq3ihhtuwOVyEQwGufHGG8nLy+OZZ57hmmuu4bbbbsNoNPLiiy9yySWXcNZZZzF69GgmTpzI8OHDm/0P2WazMXjwYHbt2sWQIUP4yU9+wnnnncfTTz9dq1p43759ueCCCxg1ahQDBw7kxBNPrNVPWXk5Y8aMwWw289xzzzW4rYZsHzRoUKv305VXXsmll17KkCFDyMjIiInfI0eOcNVVV8UE4nnnnUdJSUnsuExLSwO0YO1vv/0WnU5H//79a81o+/jjjxv0LHZ3hBA4nU6MRiMul4vi4mIyMjIwGFTFF0UXwtAX2AC+LWCdetzm7UmHVbEWQhiAncAsNPGyAbhYSvlNjTZzgR9KKRcJIbLQgnzHSSlLGuu3O1axBs27IISIXfzcbncsp8l9991HQUEBDz30UDxNTHqCwSBSSoxGY5PtXnnlFTZt2sTdd9/d4m34Dxxg6LRprF+7lh5tECSJxNGjR7n44ovreZvaRIJWsW4LPp8vNgsvPT09NmyaiKgq1ooWUfYoHP0JpC6E3Bda/PG2VLHusOEkKWUQuB54D9gOvCCl/EYIcZcQYn6k2XtAiRBiG/AxsKQpAdOdqZvL5K233oolq1u7di2//e1v42hd1yC6j4/n8l+wYAEDBgzoHKOSgAMHDvDnP/853mYkPGazmaysLPR6PaWlpa0e5lUoEg6bNqkCz4cgOzfZY4f6NKWUbwNv13nvthrLEvhl5KFoARdeeGFsdo6ifdDpdIRCoWbFxlx11VWt3s6O997D1EBAbbISnWWnOD4Gg4HMzEzKy8tjQ58Oh0MF/CqSG+NgMA6AwD7wbQbLhON8oP2Id2CvQpEwRLP3dsXgSxkMIrvg90pGdDod6enp2O12PB6PCvhVJD9CQEpkMoHng07dtBIxCkUNorOUOipWrLORgQD+I0fw7vgWfwMz4BTxQQiBw+EgLS0Nv99PUVERPp8v3mYpFK0nNqTUeP28jkCFyCsUNYi69cPhcK0kb8mGDIcJFhcTKi6OeWBkZKq8InFISUnBaDRSVlZGSUkJdrtd5ZNRJCcppwACqv8L4WrQdU7eKOWJSRJaWqRQ0Tp0Ol1S72spJcGyMnw78wkWFiLDYXRWlS02kTEajWRnZ5OSkoLb7VZ1lxTJiSELzCeC9GlCppNQIibJSNabazIRjYtpbF9XVFQwffp0jh492qz+brnlFv7xj3+0p4kNEnK78e/eTeDwYWQwgM5ixTRgIMY+uR2+bUXbEEKQlpZGeno6wWCQ4uJiqqur422WQtEyYkNKnRcXo0RMO6HX62NTnhcuXNhgdtWWctttt7F6dePji8uWLePpp59u83Y6kmgum3379jWa0XXJkiXk5eXVqvjdHsycOZO6OYWag06nnRaNiRiHw8ETTzzBL39Ze1Ld3LlzSUtLq1cr6u677+b9999n7969jW7zxhtvZM2aNS22FSDs9eLbtw//vn2EvV6E0YixTx9Mgweht7esjEFLeffddznhhBMYMmQI9913X4Nt9u/fz6xZsxgzZgwzZ87k0KFDgFbJfNq0aeTl5TFmzBhWrlwZ+8xFP/4V+XsOdKjtiYjVaiU7OxuDwRArWaD+uCiSBtss7bnqk87bZmsrR8brkahVrKPVj6WU8uKLL5Z//vOfa60PBAJt6j8YDEqfzxerDN2RtNXWmhyvKrSUUjocjljl5ubQXPtmzJghN2zY0Ox+o4TDYen3+1u8H1avXi1ff/31WtWr6+Lbv19Wff21DJaXx94rLi6WU6ZMabGdIb9f+g4dklVffy2rvv5aVn/zjfQXFspwKFS7ndcrPVu2SM/27S3eRlMEg0E5aNAguXv3bunz+eSYMWPkN998U6/d+eefL5cvXy6llPLDDz+UP/rRj6SUUn777bdy586dUkopDx8+LHv27BmreP7JKyvkVRcvSMoq1u1BOByWFRUV8vDhw/Lo0aOxivedhapirWgVQZeU24WU2w1Shuqfu41BG6pYN8sTI4Q4SQjxgRBipxBijxBirxBiTwfrq6Rl+vTp7Nq1i08++YTp06czf/58Ro4cSSgUYsmSJUyaNIkxY8bw2GOPxT7zxz/+kdGjRzN27FiWLl0KwOLFi2MVpH/zm98wduxYxo4dy0033QTAHXfcwQMPPABo/2qnTp3KmDFjWLBgQSwz6MyZM7n55puZPHkyw4YNa7Tq8cyZM7nxxhuZOHEiDz30EJs2bWLGjBlMmDCBOXPmUFBQAMCuXbs49dRTGTt2LOPHj2f37t243W5mzZrF+PHjGT16NK+99lqz99X8+fNxu91MmDCBlStXsm/fPk455RTGjBnDrFmzOHDgQGxfXHvttUyZMoVf//rXtfoIhULcdNNNjBo1ijFjxvDwww/X2851113HxIkTycvL4/bbb4+9v3TpUkaOHMmYMWNi+3XVqlWceOKJjB8/npNPPrnZ32XWrFmkpqY2u32Ul156iblz58Ze33XXXUyaNIlRo0bx4x//OPZPPOpZkqEQBdu2M3DAAEJlZTzz2mtc8KtfMfe66xj5ve9x1+9/D2jerxNOOIFFV1zBxAULOFhQ0OBx1lrWr1/PkCFDGDRoECaTiYsuuqjB337btm2ccsopAPzgBz+ItRk2bBhDhw4FoHfv3uTk5BCtjTZ96gRWr/2828aGCCFITU0lMzMTKSXFxcUqOZ4i8dE7wDwKCIL3i07ZZHNnJ/0T+AWwCejcdHxJRjAY5J133ondlL744gu2bt3KwIEDefzxx3E6nWzYsAGfz8dJJ53Eaaedxo4dO3jttdf4/PPPSUlJqVdQsaSkhNdee40tW7ZgNBqpqKiot93LLruMhx9+mBkzZnDbbbdx55138uCDD8ZsWr9+PW+//TZ33nlno0NUfr+fjRs3EggEmDFjBq+99hrZ2dmsXLmSW2+9lSeffJJLLrmEpUuXsmDBArxeL+FwGJPJxCuvvILD4aC4uJipU6cyf/78Zs2weP3117Hb7bGK2meddRaLFi1i0aJFPPnkk9xwww2x2k+HDh3i008/rTdr6PHHH2ffvn1s3rwZg8FQb/8B3HPPPWRkZBAKhZg1axZbtmwhNzeXV155hR07diCEoLy8HNBExDvvvEOPHj1wu93H/Q5t5X//+x/nn39+7PX111/PbbdpOSEvvfRS3nzzTc466ywAgi4Xvvx8giXFAOgdDgw5OWzcsoWtW7eSkpLCpEmTmDdvHllZWeTn5/PUE09w4m9+w/vr1jV5nIFW4fv++++v9/6QIUNigjrK4cOH6dv3WHm0Pn36xIqS1mTs2LG8/PLL/PznP+eVV16hsrKSkpKSWhW0169fj9/vZ/DgwYA2pDdkQF++2rKFCVNOava+7GqYzWays7NjyfG8Xi9Op1PVXlIkLtZp4PsaqtdBSsefu809E1xSync61JJ2YsDStzqk3333zWtyfXV1NePGjQM0T8yVV17Jp59+yuTJkxk4cCAA77//Plu2bIndDFwuF/n5+axevZrLL7+clBRtFklGRkatvp1OJxaLhWuuuYYzzzyT+fPn11rvcrkoLy+PVYJetGgRCxcujK0/99xzAZgwYUKtCsx1iWYA/vbbb9m6dSuzZ2tBWqFQiF69elFZWcnhw4dZsGABABaLBdDqOt1yyy2sWbMGnU7H4cOHOXr0KD179mxynzXEunXrYtW6L7300lpel4ULFzY47Xn16tVce+21sQt73f0H8MILL/D4448TDAYpKChg27ZtjBw5EovFwpVXXsmZZ54Zi2U56aSTuOKKKzj33HM577zzWvwdWkpBQQHZ2dmx1x9//DF/+tOfqKqqorS0lJEjR3LGzJmEq6sJFhcje/RAZ7EgDAZM/fqhMxqZPXt2TBSce+65/Pe//+Wcc86hf//+TJ0yBV9+Ph+tW9fkcQZwySWXcMkll7Tr93vggQe4/vrrWb58OSeffDK5ubm1fseCggIuvfRSVqxYEYtHAsjJyuDIkQI6L/dnYhKthl1VVUVFRQVFRUWkpqZis9nUVGxF4mGZBjyuiZhOoLki5mMhxP3Ay0AsI5OUsnP8RUmA1WqNeRNqEq1qDFr80cMPP8ycOXNqtXnvvfea7NtgMPDZZ5/x/vvv8+qrr/L3v/+djz76qNm2RQvN6fX6mHv+8ssv58svv6R3796x6sVRW6WU5OXlsW5d7YOwsrKywf6fffZZioqK2LRpE0ajkQEDBuD1epttX3OpuS9bwt69e3nggQfYsGED6enpLF68GK/Xi8FgYP369Xz44YesWrWKRx55hI8++ohly5bx+eef88YbbzB58mQ2bdpUy2vQ3lit1tj+8nq9/OQnP2Hjxo307duX22+9Fc/Ro/j378cgBFKnw9inD+HKSi1LZoS6N7Po65bus5Z4YnJzczl48GDs9aFDh8jNrT8Tqnfv3jFh6na7eemll2KVsSsqKpg3bx733HNPrervAF6fD6u1c3JNJAMpKSmYzWZcLhcVFRVUV1eTlpZ23IKlCkWnEq1i7V0HUta6TnUEzRUxUyLPNatMSuCU9jWn7RzPYxJP5syZw6OPPsopp5yC0Whk586d5ObmMnv2bO666y4uueSSmJu/5r9kt9uN2+3m9NNP5+STT2bIkCG1+nU6naSnp7N27VqmT5/OM888E/PKNMZTTzVemfaEE06gqKiIdevWMW3aNAKBADt37iQvL48+ffrw6quvcs455+Dz+QiFQrhcLnJycjAajXz88cfsb0Nm2O9973s8//zzXHrppTz77LNMnz79uJ+ZPXs2jz32GD/4wQ9iw0k1919FRQU2mw2n08nRo0d55513mDlzJm63m6qqKs444wxOOukkBkWqSu/evZspU6YwceJE3n33XQ4cONChImbEiBHs2rWLmTNnxsRMhtNJ6bffsuqFFzhn9myEXs+AIUP4urCQ6WlpvLR8ea0+PvjgA0pLS7Farbz66qs8+eST9bYz63vf477IkGBDxxm0zBMzadIk8vPz2bt3L7m5uTz//PP8+9//rteuuLiYjIwMdDodf/jDH7jiiisAbfhywYIFXHbZZbWG06Ls3HOAUXkjm2VLd0Gv15ORkUF1dTUul4vi4mLsdjt2u115ZRSJgWkY6NIhWADBg2Ds16Gba5aIkVL+oEOt6CZcddVV7Nu3j/HjxyOlJDs7m1dffZW5c+eyefNmJk6ciMlk4owzzuDee++Nfa6yspKzzz47ljfiL3/5S72+V6xYwbXXXktVVRWDBg1qUqQcD5PJxKpVq7jhhhtiRepuvPFG8vLyeOaZZ7jmmmu47bbbMBqNvPjii1xyySWcddZZjB49mokTJzJ8+PBWb/vhhx/m8ssv5/777yc7O7tZ3+Oqq65i586djBkzBqPRyNVXX831118fWz927FhOPPFEhg8fTt++fTnpJG2cNrpfvV4vUsrYfl2yZAn5+flIKZk5cyajR49ulu3Tp09nx44duN1u+vTpwz//+c96XreGmDdvHo899hhXXXUVztRUrrj4YkbnjaJHVibjR41CZ7ViHjqUX//2t1xwwQU88Y9/MG9ebbE+efJkzjvvPA4dOsSPfvQjJk6cWG/o8LSTT2ZbcXGjx1lLMRgMPPLII8yZM4dQKMQVV1xBXl4eoKUHmDhxIvPnz+eTTz7hN7/5DUIITj75ZP72t78B2hDfmjVrKCkpYXlElC1fvpxx48ZxtLAYq8XcqiHJ7oDVasVsNlNRUUFlZWXMK2MymeJtmqK7I3SaN8bzjjak1MEiRkRnPjTZSAgncDsQnarxH+AuKaWrA21rkIkTJ8q6uT+2b9/OiBEjOtuUTkVKSSAQQK/XJ3U6/GQjEEnV314ue/+BA4QqKjD17Yve6Yy9//3vf59Xn3kGu8+HjAz56R1ODD1y0EWGAxtj+fLlbNy4kUceeaTB9WGfD19+PsJkwjJsWLt8j47m/+5aisNm5sobloKx9pBSdzjfW4LP56O8vJxQKITNZiM1NbVWbFFr2PDdBq547wom9pjIU3Nb/4dI0U0p/j0U3wbpP4ceDx63uRBik5Ry4nEbNkBzj/QngUrggsijAlBHtqLL09EFIaWUhCoquPfGG9nzxRfIYBCdNQXTwEGY+vU9roDpqqQ5U1m08MzjN1RgNpvJycnBZrPh8XgoKirqkJg0haLZRONiOiG4t7kxMYOllDWnadwphNjcAfYoFAmFTqcjFAp1SEHIcHU1ge++I+zxMGn4cITJhLFHD3QOR4viGxYvXszixYvb1bZ4c/kPz4WguhE3FyEETqcTq9WKy+WitLQUs9mMw+FQgb+KzscyBRDg/RLCXtBZOmxTzfXEVAshvh99IYQ4CVCFPRRdHiEEOp2uyVpKrSFYVIRv927CHg9Cr8fYsyfmIUPQO50qQFPRakwmE1lZWTidTgKBAMXFxbhcLsKRSuYKRaegd4BpBBAA39YO3VRzPTHXASsisTECKAUWd5RRivqoG1v80Ol0BIPBdvXGhL1eEAJDZiaGrCyESl6maCeEENhsNqxWK5WVlXg8Hqqrq0lNTSUlJUVdSxSdgz5Ne5a+Jpu1lebOTtoMjBVCOCKv66eMVXQ4QghVDC4O6HS6WGXrtooYEZk9onc6MfTogU7NJlF0EDqdDqfTSUpKChUVFbhcLjweD06nM5Y7SqFIdpoUMUKIH0kp/yWE+GWd9wGQUtaf66tQdEFqxsa0ZeaHoUcP5XlRdCpGo5HMzEy8Xi8VFRWUlJRgsVhwOByqfIEi6Tne1Tia7jO1kYdC0S2o6Y2pqKhg+vTpHD16tFmfveWWW/jHP/4BaH8AlIBRxAOLxUJ2djYOhwOfz0dRUZGKl1EkPU2KGCnlY5HnOxt6dI6JyYFer2fcuHGMGjWKhQsXUlVV1eY+b7vttkaLNQIsW7aMp59+us3b6UjsdjugVVQeNWpUg22WLFlCXl4eS5YsaddtR6s+twc1A3xTU1N54okn+OUvjzkoN2/ezLRp08jLy2PMmDGsXLkytu7uu+/m/fffZ+/evY32f+ONN7JmzZp2sbUzeffddznhhBMYMmQI9913X6PtXnjhBUaOHEleXh4XX3wxoNWIGjduXOxhsVhixT4v+vGvyN9zoDO+QrdCCIHdbicnJwer1YrH4+Ho0aNUVFQoMaNITqI5MJp6AH8CHIAR+BAoAn7UnM+292PChAmyLtu2bav3Xmdjs9liyxdffLH885//XGt9IBBo8zb8fn+79HM82nMb0f2yd+9emZeX12Abh8Mhg8Fgs/tsrn0zZsyQGzZsaHa/xyMcDkufz9fg9r/99lu5c+dOKaWUhw8flj179pRlZWXN6re4uFhOmTKl3eysS8jrlZ4tW6Rn+/Z27TcYDMpBgwbJ3bt3S5/PJ8eMGSO/+eabeu127twpx40bJ0tLS6WUUh49erRem5KSEpmeni49Ho+UUspPXlkhr7p4gZT+qnptE+F87yoEAgFZWloqDx8+LAsKCmRFRYUMhUJyfcF6OWr5KLn4ncXxNlGRrOz7npTbkdLz3+M2BTbKVmqC5g7unya1YN4zgX3AEKB9/zZ3IaZPn86uXbv45JNPmD59OvPnz2fkyJGEQiGWLFnCpEmTGDNmDI899ljsM3/84x8ZPXo0Y8eOZenSpYCW/yNadG/p0qWx9Pk33XQTAHfccQcPPPAAoHkCpk6dypgxY1iwYAFlZWWA5o24+eabmTx5MsOGDWPt2rUN2jxz5kxuvPFGJk6cyEMPPcSmTZuYMWMGEyZMYM6cORQUFACwa9cuTj31VMaOHcv48ePZvXs3brebWbNmMX78eEaPHs1rr73W7H01f/583G43EyZMYOXKlezbt49TTjmFMWPGMGvWLA4cOBDbF9deey1TpkypVdkatCrbN910E6NGjWLMmDE8/PDD9bZz3XXXMXHiRPLy8rj99ttj7y9dupSRI0cyZsyY2H598cUXGTVqFGPHjuXkk0+OtW1quvWwYcMYOnQooBU8zMnJoaioqFn74KWXXmLu3Lmx13fddReTJk1i1KhR/PjHP45tq6Znqbi4mAEDBgBaxt6zzz6bmTNnMnToUO68U3OS7tu3jxNOOIFFV1zBxAULOFhQ0OBx1lrWr1/PkCFDGDRoECaTiYsuuqjB3/6JJ57gpz/9Kenp6QDk5OTUa7Nq1SpOP/30WIXt6VMnsHrt57GCpYqOwWAwkJ6eTnZ2NiaTicrKSgoLC2MlThSKRKe5g/PRdvOAF6WULjVNr2GCwSDvvPNO7Kb0xRdfsHXrVgYOHMjjjz+O0+lkw4YN+Hw+TjrpJE477TR27NjBa6+9xueffx4rzFeTkpISXnnlFbZu1ebbezyeetu97LLLePjhh5kxYwa33XYbd955Jw8++GDMpvXr1/P2229z5513NjpE5ff72bhxI4FAgBkzZvDaa6+RnZ3NypUrufXWW3kyUjxw6dKlLFiwAK/XSzgcxmQy8corr+BwOCguLmbq1KnMnz+/WVM5X3/9dex2e6wC+FlnncWiRYtYtGgRTz75JDfccENsiOHQoUN8+umn9WYIPf744+zbt4/NmzfHCkDW5Z577iEjI4NQKMSsWbPYsmULubm5vPLKK+zYsQMhBOXl5YAmIt577z1yc3Nj70WJipimZiqtX78ev9/P4MGDj/v9Af73v//VKoB4/fXXc9tttwFw6aWX8uabb3LWWWc12cf69evZunUrKSkpTJo0iXnz5pGVlUV+fj5PPfEEJ/7mN7y/bl2Txxm0rIr14cOH6du3b+x1nz59+Pzzz+t9dufOnQCcdNJJhEIh7rjjjlqiDeD555+vNTyn0+kYMqAvX23ZwoQpJzX53RVtx2g0kpGRgd/v16ZlF2vXmFAohJRSTctWJCzNFTFvCiF2oCW4u04IkQ0kZjrNO5zHb9OqfpsuE1VdXc24ceMAzRNz5ZVX8umnnzJ58mQGDhwIwPvvv8+WLVtiNwOXy0V+fj6rV6/m8ssvj/0LrVtZ2Ol0YrFYuPrqqznjjDM455xzaq13uVyUl5fHKlcvWrSIhQsXxtafe+65AEyYMKFeUcCaXHjhhQB8++23bN26ldmzZwPahaxXr15UVlZy+PBhFixYAGiBgqDVF7rllltYs2YNOp2Ow4cPc/To0VYV71u3bh0vv/wyoN3Aa3pdFi5c2KBwWL16Nddee21spkXd/QdaTMbjjz9OMBikoKCAbdu2MXLkSCwWC1deeSVnnnkmZ56ppbk/6aSTWLx4MRdccEFs30XR6XQxIRMN9q1JQUEBl156KStWrGj2LKaCggKys7Njrz/++GP+9Kc/UVVVRWlpKXl5eccVMbNnz45V2j733HP573//yznnnEP//v2ZOmUKvvx8Plq3rsnjDFpWxbq5BINB8vPz+eSTTzh06BAnn3wyX3/9NWlpaYD2/b/++ut6xTJzsjI4cqSACe1qjaIpTCYTmZmZOKu062goFKKwsJDU1FSsVqsSM4qEo7l5YpYKIf4EuKSUISGEBzi7Y01LLqxWa8ybUBObzRZbllLy8MMP17tYv/fee032bTAYWL9+Pe+//z4vvfQSy5Yt46OPPmq2bdGcEHq9Puaev/zyy/nyyy/p3bs3b7/9di1bpZTk5eWxbl3tuheVlZUN9v/ss89SVFTEpk2bMBqNDBgwoENqt9Tcly1h7969PPDAA2zYsIH09HQWL16M1+uN7dcPP/yQVatW8cgjj/DRRx+xbNkyPv/8c9566y0mTJjApk2bYgIBjiW/q/sPtaKignnz5nHPPfcwderUZttntVpj+8vr9fKTn/yEjRs30rdvX+64447YOoPBEAu+rLt/695coq9bus9a4onJzc3l4MGDsdeHDh0iNze33mf79OnDlClTMBqNDBw4kGHDhpGfn8+kSZMATWAuWLCgXnp8r8+H1Wqt15+i44n+FgaDAZ1OR3l5OZWVldhsNlJSUtpcYFKhaC+OlyfmFCnlR0KIc2u8V7PJyx1lWKs5jscknsyZM4dHH32UU045BaPRyM6dO8nNzWX27NncddddXHLJJTE3f81/yW63m6qqKk4//XSmTZvGCSecUKtfp9NJeno6a9euZfr06TzzzDMxr0xjPPVU4/U7TzjhBIqKili3bh3Tpk0jEAiwc+dO8vLy6NOnD6+++irnnHMOPp+PUCiEy+UiJycHo9HIxx9/zP79+1u9j773ve/x/PPPc+mll/Lss88yffr0435m9uzZPPbYY/zgBz+IDSfV3H8VFRXYbDacTidHjx7lnXfeYebMmbH9esYZZ3DSSScxaNAgAHbv3s2UKVOYMmUK77zzDgcPHqwnYoQQhEKh2MXc7/ezYMECLrvsslpDQ81hxIgR7Nq1i5kzZ8bESVZWFm63m1WrVsX6GzBgAJs2bWLy5Mn1BMUHH3xAaWkpVquVV199lSeffLLedmZ973vcFxkSbOg4g5Z5YiZNmkR+fj579+4lNzeX559/nn//+9/12p1zzjk899xzXH755RQXF7Nz587YvgZ47rnn+MMf/lDvczv3HGBU3shm2aLoGHQ6HdnZ2fh8PtxuNxUVFbjdbmw2GzabTYkZRdw5nidmBvAR0JAvW5KIIiaBueqqq9i3bx/jx49HSkl2djavvvoqc+fOZfPmzUycOBGTycQZZ5zBvffeG/tcZWUlZ599diwG5S9/qZ9jcMWKFVx77bVUVVUxaNCgJkXK8TCZTKxatYobbrgBl8tFMBjkxhtvJC8vj2eeeYZrrrmG2267DaPRyIsvvsgll1zCWWedxejRo5k4cSLDhw9v9bYffvhhLr/8cu6//36ys7Ob9T2uuuoqdu7cyZgxYzAajVx99dVcf/31sfXRgOjhw4fTt29fTjpJi7GouV+llLH9umTJEvLz85FSMmvWLMaOHVtvm3WT373wwgusWbOGkpISli9fDmgBt9EhxqaYN28ejz32GFdddRVpaWlcffXVjBo1ip49e8a8FQA33XQTF1xwAY8//jjz5s2r1cfkyZM577zzOHToED/60Y+YOHFivaHD004+mW3FxY0eZy3FYDDwyCOPMGfOHEKhEFdccQV5eXmAlh5g4sSJzJ8/nzlz5vD+++8zcuRI9Ho9999/f0wU7tu3j4MHD9YT3UcLi7FazK0aklS0P2azGbPZjN/vx+12U1lZidvtJiUlBZvNppLmKeKGqDvLItGZOHGirJv7Y/v27YwYMSJOFnUeoVCIUCiE0WhUY9NxRkpJMBhECNEuF/Dvf//7vPnmm7E4kZawfPlyNm7cyCOPPNLg+rDPhy8/H2EyYRk2rI2Wdg7/d9dSHDYzV96wFIy1h5S6y/keTzZ8t4Er3ruCiT0m8tTc+n8kgsEgbrc7NovJYrFgt9tVxWzFMfafBNWfQr//QkrTwflCiE1Syomt2UyzfIFCiHuFEGk1XqcLIe5uzQYViq5Ae1e3/vOf/xybTq6ANGcqixaeGW8zFI1gMBhIS0sjJycHm82G1+ulqKiIkpISfL6OLfinUNSkuQOap0spy6MvpJRlwBkdYpFCkSRE4wHaI9PplClTGDNmTKs+u3jx4ka9MMnK5T88Vw1RJAF6vR6Hw0GPHj1ITU0lGAxSUlJCYWEhHo9HZQFWdDjNFTF6IUSs7KkQwgqoMqiKbk17e2MUimRFp9ORmppKTk4O6enp6HQ6XC4XR48ejcXVKbobkXQY3i86dCvN/avzLPChECI6OHo5sKJjTFI0Ro3q4SomJkGITrduKvmdQtFdEEJgtVqxWq0EAgE8Hg9VVVV4PB7MZjM2mw2z2ayuX90B52KoXguFvwDTELCf3iGbaW6emD8KIb4CTo289XspZdPJTRSKbkDN6tZKxCgUxzAajaSlpeFwOGJCprS0FL1ej81mw2q1qnOmK5N2BfjzofQ+OHw+9PsErJOO+7GW0pJB5+1AUEq5WgiRIoRIlVI2nP1MoehGRJMIRqdbKxSKY+h0Oux2OzabDZ/Ph8fjoaKigsrKSsxmMykpKco701XJvheCR6DiaTg0D/p/qnll2pFmiRghxNXAj4EMYDCQCywDZrWrNQpFEhDNzLtq1Sp69OiBECLmjWlIxPzoRz9i8eLFnHrqqQ30pmiSQDXUjTcK+eHIl/GxJ5nJGQmG+IUyCiGwWCxYLBaCwSBVVVVUVVXh9XrR6/VYrVZSUlJUQHdXQgjo9Q8IHQXPe3BwjiZkDD3abRPNPVp+CkwGPgeQUuYLIeqXou3G6PV6Ro8eTTAYZMSIEaxYsSJWo6a13HbbbZx88smN3vyWLVtGSkoKl112WZu205HY7Xbcbjf79u3jzDPPjBWxrMmSJUt4++23OeOMMxpMed9aZs6cyQMPPMDEia1KP9AoDoeDJ554gl/+8pc8++yzCCE4ePAg5513HlJKAoEAP/vZz7j22msBrUDlhRdeyMSJExvNA3P++efzpz/9qVYm22RgxYoV3H23lm3ht7/9LYsWLarX5sILL+Tbb78FoLy8nLS0NDZv3sy+ffsYMWJELAP11KlTWbZsGQCnnn8FLy67j3QayP5cWQirLuigb9SFGTgDFr0ebysAbYq2w+EgNTUVn89HVVUVbrcbt9sd885YLBblnekKCCP0fhEO/gC8mzSPTL//gK51ZWTq0lwR45NS+qMHlBDCgJaxVxGhZu2kSy65hGXLltWqyhsMBlv8D+Ouu+6q9bpmYC8Qu0m2N62xtS08/vjjsbHy5tDZ9jXE8OHDefbZZ2Ovc3NzWbt2LWazGZ/Px6hRo5g/fz69e/cmJSWFN954o9G+vvnmG0KhUIcKmGAwiNFkatc+S0tLufPOO9m4cSNCCCZMmMD8+fNJT0+v1W7lypWx5V/96lc4nceKtA4ePLjBmmOX/uhH/P1fr3DrLxo4xvUm6FU/i7KiEYJ+KNoOpXvjbUk9anpn/r+9O4+Purr3P/46s2XfIAurAoILgbCFRSi7qKBsXtHbooKAirdel7qh/kDxVgtKvSpWEVuFWltFK+CtIhWFagFZopQiIGtAtpCF7Mms5/fHZL5M9iFkm+TzfDzmMTPf73e+c/Kdycx7zjnfc9xuNyUlJRQXF3Pu3DlMJpPRSdhWz+9d0cjMUdDpUzg21BtkztwF7d/z1tRcLK11rRfgBeBJYD8wDlgNPBfIY+v7MmDAAF3R3r17Ky1rbBEREcbtN954Q997771648aN+mc/+5meOHGi7tGjh3a5XPqRRx7Rqampunfv3nrZsmXGYxYtWqR79eqlU1JS9OOPP6611nrGjBn6ww8/1Fpr/fjjj+urrrpK9+rVSz/00ENaa62ffvpp/eKLL2qttf7+++/14MGDde/evfWUKVN0Tk6O1lrrkSNH6scee0wPHDhQ9+jRQ3/99ddVln/kyJH6gQce0AMGDNBLlizRO3fu1CNGjND9+/fX1157rT516pTWWuuDBw/qsWPH6pSUFN2vXz996NAhXVBQoMeMGaP79eune/XqpdesWVPpuBw9elQnJydXet6JEydqk8mk+/Tpo99//3199OhRPXr0aN27d289ZswYfezYMeNY3HPPPXrQoEHG3+/jcrn0ww8/rJOTk3Xv3r31q6++avxNO3bs0FprPXfuXD1gwADds2dPvWDBAuOxvuPau3dv/fDDD2uttV61apVOTk7WKSkpevjw4dW95JW4XC5tt9v12bNndefOnfXJkycDetwTTzyh33nnHeN+dWW99NJLdWZmptZa6x07duiRI0dqrb3vg9tuu00PGTJEd+/eXS9fvlxrrY3334033KC7X3qpLty7t8rjVFd//vOf9d13323cv/vuu/Wf//znarf3eDy6U6dO+sCBA1rr6t8TWmudk5NT7brm8P8eVHLStX46WuuXegX8kO2nt+teK3rpmetmNmDBqldaWqpzcnL0qVOn9MmTJ3VGRobOz8/XTqezScoj6knpD1r/GKn1PrTO/l9jMbBT1zETBPpz9nFgDvBv4B7gM+D3Fx+hWh6Xy8W6deu4/vrrAfjuu+/Ys2cPXbt2Zfny5cTExLBjxw7sdjvDhg3j2muvZf/+/axdu5Zt27YZE/P5y87OZvXq1ezbtw+Xy1XlbNJ33HEHS5cuZeTIkSxYsICFCxfy8ssvG2Xavn07n332GQsXLmTDhg1Vlt3hcLBz506cTicjR45k7dq1JCQk8MEHH/DUU0/xdtnkgfPmzWPq1KnGXE42m43Vq1cTHR1NVlYWQ4YMYdKkSQFVBX/yySdERkYav8YnTpzIjBkzmDFjBm+//Tb3338/a9asAbyzJG/ZsqVSjc3y5ctJT09n165dxgSQFT333HO0adMGt9vN2LFj2b17Nx07dmT16tXs378fpRS5ubmAtwZs/fr1dOzY0VgWiFOnTjFhwgQOHz7MCy+8QIcOHQJ63ObNm/n5z39eY1lrGwhv9+7dfPvttxQVFdGvXz9jbqXvvvuO3WlpdHC5eOuDD2o9Ti+++GK5GiafESNG8Oqrr5ZbdvLkSTp37mzc79SpEydPnqy2jN988w1JSUn06NHDWHb06FH69etHdHQ0v/71r40JP+Pi4rDb7WRnZ5ebfFO0Dr65mjweD6WlpZSUlFBQUEBBQQFWq9WooZGzm4JMSE9o9w6cmgZnH4HQ/hA+4qJ2WWuIUUqZgR+01lcCb13UszWC3it7N8h+/z3j3zWuLykpMSb7Gz58OLNnz2bLli0MGjSIrl27AvD3v/+d3bt3GzMQ5+XlcfDgQTZs2MCdd95p9KGpOLNwTEwMoaGhzJ49m/HjxzNxYvn5OPPy8sjNzTUm0ZsxYwbTpk0z1t90k3cS8gEDBlSaFNDfrbfeCsCPP/7Inj17GDduHOCds6l9+/YUFBRw8uRJpk6dCnjnSwFwOp08+eSTfP3115hMJk6ePElGRkadJu/bunUrH3/snVf09ttv57HHHjPWTZs2rcoPrQ0bNjB37lyjiani8QNYtWoVy5cvx+Vycfr0afbu3UvPnj2N43rjjTdy443eYe6HDRvGzJkzueWWW4xjF4jOnTvzr3/9i+PHjzNt2jSmTZtGUlLtHdhOnz5NQkJCjWWtLcRMnjzZ+GAfPXo027dvJzY21nj/2Q8e5KutW/nlI4/UeJweffRRHn300YD/5gvxl7/8pVxYa9++PcePH6dt27akpaUxZcoUfvjhB6KjowFITEzk1KlTEmJaMZPJRHh4OOHh4bjdbiPQ5Ofnk5+fT0hICGFhYYSGhsqZgcEi+mYofQRylkD28w0fYrTWbqXUj0qpS7TWMrlLNfz7xPiLiDjfeUlrzdKlS7nuuuvKbbN+fc1D7lgsFrZv386XX37JqlWreOONN9i4cWPAZQsJ8Z6R4DsVGODOO+/k+++/p0OHDnz22Wflyqq1Jjk5ma1bt5bbT1U1QADvvfcemZmZpKWlYbVa6dKlC6WlpQGXL1D+x/JCHD16lCVLlrBjxw7i4uKYOXMmpaWl5Y7rRx99xGuvvcZXX33FsmXL2LZtG59++ikDBgwgLS0t4C9Sk8lEp06dSE5O5h//+Ae33FJ7B9SwsDDjeFVXVvC+D3zDuFc8vhVrvXz3L/SYXUhNTMeOHdm0aZNx/8SJE4waNarK/bpcLj7++GPS0tKMZb5f2+AN2JdddhkHDhwwOmKXlpYSFhZW5f5E6+MbXyYiIgKXy0VJSQklJSXk5uailCIkJMToXyOBppmLnOwNMZ7Ci95VoM1JccAPSqntQJFvodZ60kWXoJ7VVmPSlK677jreeOMNxowZg9Vq5cCBA3Ts2JFx48bx7LPPMn36dKM5yf9XcmFhIcXFxUyYMIFBgwYZZ3P4xMTEEBcXxzfffMPw4cN59913jVqZ6rzzTuWZaX2uuOIKMjMz2bp1K1dffTVOp5MDBw6QnJxMp06dWLNmDVOmTMFut+N2u8nLyyMxMRGr1crGjRs5dqyKM0oCNHToUN5//31uv/123nvvPaN5oSbjxo3jzTffZPTo0UYzif/xy8/PJyIigpiYGDIyMli3bh2jRo0qd1yHDRtmdKw9fPgwgwcPZvDgwaxbt46ffvqp1hBz4sQJ2rZtS1hYGPn5+WzevJkHHnggoL/5qquu4tChQ3Tp0qXasgJ06dKFtLQ0xo8fz1//+tdy+1i7di1PPPEERUVFbNq0iUWLFnHgwIFy24wdOrTG4wQXVhNz3XXX8eSTT3Lu3DnAW9P4m9/8psptN2zYwJVXXkmnTp2MZZmZmbRp0waz2cyRI0c4ePCg8RporTlz5gxdunQJqCyidbFYLERFRREVFYXT6TQCTWlpKUopbDab1NC0EoGGmPkNWopWYs6cOaSnp9O/f3+01iQkJLBmzRquv/56du3aRWpqKjabjQkTJvD8888bjysoKGDy5MlGH5SqTkNeuXIlc+fOpbi4mG7dutUYUmpjs9n46KOPuP/++415Tx588EGSk5N59913ueeee1iwYAFWq5UPP/yQ6dOnM3HiRHr37k1qaipXXnllnZ976dKl3Hnnnbz44oskJCQE9HfMmTOHAwcOkJKSgtVq5a677uK+++4z1vfp04d+/fpx5ZVX0rlzZ4YN804L739ctda89NJLgPeL/ODBg2itGTt2LH361H4mzL59+3j44YdRSqG15uGHHyY5OTmgAfBuuOEGNm3axDXXXFNtWQGefvppZs+ezfz58yvVeKSkpDB69GiysrKYP38+HTp0qBRi7pw2jaN5edUepwvVpk0b5s+fz8CB3lE4FyxYYISiOXPmMHfuXKNW5f333y/XlATw9ddfG+8jk8nEsmXLjMenpaUxZMiQJj8LTTR/VqsVq9VKdHQ0DoeD0tJSSktLjf5s/jU00oem5VG6honrlFKhwFygO95OvX/QWjfpTF6pqal6586d5Zbt27ePq666qolK1LicTidKKflwb+a01kbTncViqbGTc0lJCaNHj2bz5s11+pB95plniIyM5JFHHqlyvcdux37wIMpmI/Tyyy94/03hgQceYNKkSYwdW3k8zdb0/14vzh2DV1Ig5hJ4KLCa6h1ndjBr/SxSk1J55/q6/yBqSk6n0+hD4/tftNlsRqBpKZ+hr776Km+88QY9e/bk1KlTfPfddzz33HPVfh5UJScnh1tvvZX09HS6dOnCqlWrKg2VAHD8+HHmzJnDTz/9hFKKzz77rG61pcX/hOPDIWwYXPpPlFJpWus6DehV26u4EnAC3wDjgZ5AYHXkQrRiSqly0xHUFE7CwsJYuHAhJ0+e5JJLLmnEUjZfvXr1qjLACBEoXw1NVFSU0YemtLTU6BRssViMWhqbzRa0A+u9/vrrbNiwAZvNxrFjx4yzOS/EokWLGDt2LPPmzWPRokUsWrSIxYsXV9rujjvu4KmnnmLcuHEUFhY2i6a62kJMT611bwCl1B+A7Q1fJCFaBpPJhMlkwu12GxNFVqdiZ+8L8cwzz9T5sc3VXXfd1dRFEC2Ifx8a31lOvpGCi4qKMJlMRqAJCQlpFl/OgZg7dy5Hjhxh/PjxzJo1i4ceeohPP/30gvezdu1ao5P+jBkzGDVqVKUQs3fvXlwul3HWamRk5EWXvz7UFmKcvhtaa1ewJtWWxNfnQgQHs9mM1hq3291iqq+FCGb+ZzlprbHb7UaoKSkpAc43O4WEhGC1Wpu4xNVbtmwZn3/+ORs3biQ+Pr7a7YYPH17l2aVLlizhmmuuISMjg/bt2wPQrl07MjIyKm174MABYmNjuemmmzh69CjXXHMNixYtavJ+RrV9qvZRSuWX3VZAWNl9BWitdXSDlk6IIKeUMmpjZJZrIZoX/2kPwDvgpy/U5Od7v/rMZrMxHEAw1dL4++abbwLe1jehbUUul4tvvvmG77//nksuuYRbb72VFStWMHv27Pos6gWrMcRoraUrtxAXyWQy4fF4cLvd1X5ACCGans1mw2azGc1OdrvdCDXFxcWAt6+NL9AES1+a2mpikpKSOH36NO3bt+f06dMkJlae37lTp0707dvXGAZhypQpfPvtt807xAghLt6FdPIVQjQPZrPZGC1Yl81O7ws1RUVFFBYWGoPs+QJNc216qq0mZtKkSaxcuZJ58+axcuVKJk+eXGmbgQMHkpubS2ZmJgkJCXz11VfGEApNKfjqxYRoYvn5+QwfPrzKduOq3HbbbXz11VdGs5L0aRIiuPgG0IuKiiI+Pp6kpCTatGlDeHg4LpeLvLw8MjMzOXPmDOfOnaOoqMg4rbuxnDlzhk6dOvHSSy/x61//mk6dOhlNYrWZN28eX3zxBT169GDDhg3MmzcPgJ07dzJnzhzAG+qWLFnC2LFj6d27N1rrZtEBX0JMPTGbzfTt25devXoxbdo0o+rxYixYsKDSZI3+HXuXLVvGH//4x4t+nobk68Genp5Or169qtzm0UcfJTk5ud7n7Bk1ahQVxxSqD9HR0bz11lv86le/qrQuPz+fTp06lRtEbvny5bzyyitGda7b7a70uJtvvpkjR47Ue1kb2sqVK+nRowc9evRg5cqVVW7zzDPP0LFjR/r27Uvfvn2NaS58jh8/TmRkJEuWLAG8/RJGjBjR6F8CQgTKZDIRGhpKTEwMiYmJJCUlERsbS2hoKA6Hg7y8PM6ePUtGRga5ubkUFxdX+X9fH9LT04mPj6ddu3acOHGC/Px8cnNzOXHihDEPWW3atm3Ll19+aczl5xt0MjU1ld///vxcz+PGjWP37t38+9//ZsWKFdhstgb5my6ENCfVE/+5k6ZPn86yZcvKfcm5XK4LPjvl2WefrXad1pq5c+fWqay1qUtZL8by5cvJyckJuJmlsctXlSuvvLLKOYbmz5/PiBHlJzQLDw/n//7v/wBvgKnYyfeHH37A7XYbbc0NweVyYa3nD5ycnBwWLlzIzp07UUoxYMAAJk2aVOUgWQ899FC1g2/96le/Yvz48cZ9m83G2LFj+eCDD5g+fXq9llmIhuDf9ATe/ze73W6MIOz7UWs2m41+NyEhIU3+OdYSSE1MAxg+fDiHDh1i06ZNDB8+nEmTJtGzZ0/cbjePPvooAwcOJCUlhTfffNN4zOLFi+nduzd9+vQxqvJmzpxpzHg9b948evbsSb9+/Xj88ccB7y9c36/XXbt2MWTIEFJSUpg6daoxn82oUaN4/PHHGTRoEJdffnm1baOjRo3iwQcfJDU1lVdeeYW0tDRGjhzJgAEDuO666zh9+jQAhw4dMobH79+/P4cPH6awsJCxY8fSv39/evfuzdq1awM+VpMmTaKwsJABAwbwwQcfkJ6ezpgxY0hJSWHs2LEcP37cOBZz585l8ODB5Wa2Bm8weOSRR+jVqxcpKSksXbq00vPce++9pKamkpyczNNPP20s9x3XlJQU40v2ww8/pFevXvTp06dSIKlJWloaGRkZXHvttdVu4xsvxr9Z6b333ivXBl1dWbt06UJWVhbgreb1TT3wzDPPcPvtt3P11VfTo0cP3nrLO9m87/03+T/+g/5TpgR0nC7E+vXrGTduHG3atCEuLo5x48bx+eefX9A+1qxZQ9euXUlOTi63fMqUKVWGRCGCgcViISIigri4ONq1a0dCQgIxMTHYbLZyNTVnzpwhJyeHwsJCnE6nNDXXgcTAeuZyuVi3bh3XX389AN999x179uyha9euLF++nJiYGHbs2IHdbmfYsGFce+217N+/n7Vr17Jt2zZjAkh/2dnZrF69mv379+PxeMjOzq70vHfccQdLly5l5MiRLFiwgIULF/Lyyy8bZdq+fTufffYZCxcurNRE5eNwONi5cydOp5ORI0eydu1aEhIS+OCDD3jqqad4++23mT59OvPmzWPq1KnGXE42m43Vq1cTHR1NVlYWQ4YMYdKkSQH12v/kk0+IjIw0arEmTpzIjBkzmDFjBm+//Tb333+/MQLliRMn2LJlS6Uam+XLl5Oens6uXbuMiQ0reu6552jTpg1ut5uxY8eye/duOnbsaBxXpZQx18qzzz7L+vXr6dixo7GsNh6Ph4cffpg//elP1R5fwJgywuVyGTVKmzdvLjevUFVlTUlJqfH5d+/ezbfffktRURH9+vXjhhtuALzvv91paXRwuXirLCTWdJwuZBbrkydP0rlzZ+N+p06dOHnyZJXle+211/jjH/9Iamoqv/3tb4mLi6OwsJDFixfzxRdfGGHcp1evXuzYsaPGv1mIYOEbPdg3q7zL5cLhcBgX36z0vr43votvXjFRvRYXYvZd2TBzqly1f1+N60tKSujbty/grYmZPXs2W7ZsYdCgQXTt2hXwzvK7e/duo3YlLy/PaIO88847jarIijMLx8TEEBoayuzZs5kwYYIRkHzy8vLIzc01Zq6eMWMG06ZNM9bfdNNNAAwYMID09PRq/4Zbb70VgB9//JE9e/YYIzO63W7at29PQUEBJ0+eZOrUqQDG2ApOp5Mnn3ySr7/+GpPJxMmTJ8nIyKBdu3Y1HrOqbN26lY8//hiA22+/vVyty7Rp06psctqwYQNz5841qmYrHj+AVatWsXz5clwuF6dPn2bv3r307NnTOK433ngjN954IwDDhg1j5syZ3HLLLcaxq83rr7/OhAkTys3SXB3/s5XcbjenT58mISGhxrLWFmImT55MWFgYYWFhjB49mu3btxMbG2u8/+wHD/LV1q388pFHajxOFzKLdaDuvfde5s+fj1KK+fPn8/DDD/P222/zzDPP8NBDD1U58qev2r2goICoqKh6LY8QTc1isWCxWIzPfLfbXS7U+J8ObbFYygUbaYIqT45GPfHvE+PPl7zB249l6dKllYaYX79+fY37tlgsbN++nS+//JIPP/yQ3/3ud3z55ZcBly0kJATA+OIEuPPOO/n+++/p0KGD0dHSV1atNcnJyWzdurXcfqoaZwC8zSGZmZmkpaVhtVrp0qWL8cuiPvkfywtx9OhRlixZwo4dO4iLi2PmzJmUlpaWO64fffQRr732Gl999RXLli1j27ZtfPrppwwYMIC0tDTatm1b43Ns3bqVb775htdff53CwkIcDgeRkZEsWrSoyu1NJhNmsxm3201YWJhxvKorK3jfBx6PB6DS8a1Y6+W7f6HH7EJqYjp27GgMVQ7emrKKs2sDJCUlGbfvuusuIyxu27aNjz76iMcee4zc3Fyjs6SvU7TdbjeCsmgaGcUZbDi2ge6x3ekc1RmzSYYHaAhms9n4EQLeml2n04nD4TAmsvT1qzGZTFitVqmtKdPiQkxtNSZN6brrruONN95gzJgxWK1WDhw4QMeOHRk3bhzPPvss06dPN5qT/H8lFxYWUlxczIQJE7j66qvp3r17uf3GxMQQFxfHN998w/Dhw3n33XeNWpnqvPNO9TPTXnHFFWRmZrJ161auvvpqnE4nBw4cIDk5mU6dOrFmzRqmTJmC3W7H7XaTl5dHYmIiVquVjRs3cuzYsTofo6FDh/L+++9z++2389577zF8+PBaHzNu3DjefPNNRo8ebTST+B+//Px8IiIiiImJISMjg3Xr1jFq1Khyx3XYsGFGx9rDhw8zePBgBg8ezLp16/jpp59qDTH+X/wrVqxg586d1QYYH9+UBFdccQUHDhygS5cu1ZYVvH1i0tLSGD9+PH/961/L7Wvt2rU88cQTFBUVsWnTJhYtWsSBAwfKbTN26NAajxNcWE3Mddddx5NPPmn0v/r73//Ob37zm0rb+QbRAli9erVxlpp//yzfTNy+AJOdnU18fHyzHXejpYuyeWu/fir4iYc2PQSAzWSjW2w3Lou9jO6x3ekR24PLYi+jQ2QHTKr1fok2BN9cTr4foFC+CcrpdFaqrfE1WfmCTTAMwlcfWlyIac7mzJlDeno6/fv3R2tNQkICa9as4frrr2fXrl2kpqZis9mYMGECzz//vPG4goICJk+eTGlpKVprXnjhhUr7XrlyJXPnzqW4uJhu3brVGFJqY7PZ+Oijj7j//vvJy8vD5XLx4IMPkpyczLvvvss999zDggULsFqtfPjhh0yfPp2JEyfSu3dvUlNTufLKK+v83EuXLuXOO+/kxRdfJCEhIaC/Y86cORw4cICUlBSsVit33XVXuVOc+/TpQ79+/bjyyivp3Lkzw4YNAyof15deegnwfpEfPHgQrTVjx46lT58+df57amM2mxk/fjwbN25k3Lhx1ZYV4Omnn2b27NnMnz+/Uo1HSkoKo0ePJisri/nz59OhQ4dKIebOadM4mpdX7XG6UG3atGH+/PkMHDgQ8A4J4AtFc+bMYe7cuaSmpvLYY4+xa9culFJ06dKlXIf26mzcuNHo1yMa3xVxV/Dq6Ff57ux3HMo9xKHcQ5wpOsP+nP3sz9lfbtswSxiXxVxG97judI/1Xi6LvYyk8KRW80XaGCo2Qflqa3wXh8NhzP0E5/vh+IKNxWJpka+HCrbe0Kmpqbri2B/79u3jqqsapi9Mc+PxeIwOoa25CrElKSoqYsyYMXz99dflfnkFyleLUd0pzB67HfvBgyibjdDLL7/Y4jaKm266iUWLFnF5FeVtTf/v9eLcMXglBWIugYf+XefdFDgKOJx7mMO5hzmUe4iDuQc5nHuYrJKsKrePskbRPa67UXPju7QNq7lWU9Sd2+0uF2qcTqfRBO07qcA/3DRZjU3xP+H4cAgbBpf+E6VUmta6TsP/Sk2MEE0sIiKCp59+mp9++omuXbu2+mkJHA4HU6ZMqTLAiKYTZYuib2Jf+ib2Lbc8tzTXqK3xv+TZ8/j+7Pd8f/b7ctvHhcSVq7Xx1dzEhMQ04l/TMpnNZsxmc7m+ZC6Xq1yNjX//GjjfcdhqtRohJ5h+IEuICTK+1BxsNWiiZhMmTDDOVvLNfB2oZ555puEK1gRsNht33HFHUxdDBCg2NJbUdqmktjv/Q1prTXZptjfQnCsfbs7Zz7HjzA52nCl/Cn1iWKK31ibufH+by2IvI8Jatw79wsvXDOXrNAzla2x8c0L5Bxuz2WzU1PiCjdlsbpbNURJihGgmfB19ZbZrEeyUUsSHxRMfFs+Q9kOM5VprMoozOHjO2xTla5I6nHuYsyVnOVtylq2ny58V2SGig9Es1SO2B91ju9M1piuhFjlzra6qqrFxu93lam18ow77fjArpcqFmuZSayMhRohmoqqB8CTIiJZEKUW7iHa0i2jH8E7nzzz0aA8nC09WqrU5mneUU0WnOFV0iq9PfG1sH24JZ8X1K7iqrfSNqi++YOPfL09rXSnYVGyOMpvN5YKN73ZjfXZJiBGiGak4EJ4MbCVaA5My0TmqM52jOjP6ktHGcpfHxfGC497OxGUBZ8eZHZyzn2N/zn4JMQ3MV/tScagD/1ob33VRUVG5bg6+QFPxUt81N/IJGWTkl3nL5z8QntvtbvUdfUXrZTFZ6BbTjW4x3Rh3qXcE8fmb57Pm0JqmLVgrV12tTcVwU7FJyvfYUJ1HDOD2eHA7HBdVluDpgiwMSinp2NuE8vPzGT58OBkZGQFt/+STT5abzj4QJpMJk8lkBBkhhGjOfM3hoaGhREVFERcXR0JCAu3atSMxMZE2bdoQHR2NzWYzTvt2uVzGpLZ1JSGmnpjNZvr27UuvXr2YNm1auTbDulqwYEGNkwkuW7aMP/7xjxf9PA3JNy9Oenq6MVJrRY8++ijJycn1PmfPqFGjqDimUH2Ijo7mrbfe4le/+lW55b73QN++fZk0aZKx/Ne//jV///vfOXr0aLX7fPDBB/n66/Nt/r5mJV+Q8f3TNzeff/45V1xxBd27d692hOJjx44xduxYUlJSGDVqFCdOnDDWPfbYYyQnJ3PVVVdx//33G+H8mmuuMUYCFkIEL/9wExkZSVxcHHGxcQDYrNYq53C7IFrroLoMGDBAV7R3795KyxpbRESEcfsXv/iF/u1vf1tuvdPprLfncjgc9bq/iupz377jcvToUZ2cnFzlNtHR0drlcgW8z0DLN3LkSL1jx46A93ux/N8DFyIrK0sPHjy4ynUej0c7nU5tt9u12+2u0/7dpaW6aPduXbRvX50eXx2Xy6W7deumDx8+rO12u05JSdE//PBDpe1uvvlmvWLFCq211l9++aW+7bbbtNZab968WQ8dOlS7XC7tcrn0kCFD9MaNG7XWWq9YsUL/+te/rvJ5m8P/e1DJSdf66WitX+rV1CWpF//vn/9P91rRS3984OOmLoqoq6JvtN6H1unDtNZaAzt1HTOB1MQ0gOHDh3Po0CE2bdrE8OHDmTRpEj179sTtdvPoo48ycOBAUlJSyg2/vnjxYnr37k2fPn2YN28eADNnzjRmvJ43bx49e/YkJSWFxx9/HPCOD7JkyRIAdu3axZAhQ0hJSWHq1KnGr9hRo0bx+OOPM2jQIC6//PJy89X4GzVqFA8++CCpqam88sorpKWlMXLkSAYMGMB1113H6dOnATh06BDXXHMNffr0oX///hw+fJjCwkLGjh1L//796d27N2vXrg34WE2aNInCwkIGDBjABx98QHp6OmPGjCElJYWxY8dy/Phx41jMnTuXwYMHl5vZGrydzB555BF69epFSkoKS5curfQ89957L6mpqSQnJ/P0008by/2Pq2/E2w8//JBevXrRp08fRowYEfDfUld//etfy81M/uyzzzJw4EB69erFPffcg8lkQillzE4NkJWVRZcuXQDvXE2TJ09m1KhR9OjRg4ULFwLe2q8rrriCGbNmkTp1Kj+dPl3l+6yutm/fTvfu3enWrRs2m43//M//rPK137t3L2PGjAFg9OjRxjZKKUpLS3E4HNjtdpxOpzFZ5KRJk/jLX/5yUeUTQrR80rG3nrlcLtatW2d8KX333Xfs2bOHrl27snz5cmJiYtixYwd2u51hw4Zx7bXXsn//ftauXcu2bduMCSD9ZWdns3r1avbv349SiqysrEp9Yu644w6WLl3KyJEjWbBgAQsXLuTll182yrR9+3Y+++wzFi5cWG0TlcPhYOfOnTidTkaOHMnatWtJSEjggw8+4KmnnuLtt99m+vTpzJs3j6lTp1JaWorH48Fms7F69Wqio6PJyspiyJAhTJo0KaBOyJ988gmRkZHGDOATJ05kxowZzJgxg7fffpv777+fNWvWAN5Zkrds2VKpo+vy5ctJT09n165dxsSGFT333HO0adMGt9vN2LFj2b17Nx07dix3XHNzcwFviFi/fj0dO3Y0lgWitLSU1NRULBYL8+bNY8qUKQE9bvPmzdx8883G/fvuu48FCxYAcPvtt/Ppp58aMz9X17S0fft29uzZQ3h4OAMHDuSGG24gPj6egwcP8s5bb9HviSf4+9atNb7PwDuR5Ysvvlhpeffu3Y1A7XPy5Ek6d+5s3O/UqRPbtm2r9Ng+ffrw8ccf88ADD7B69WoKCgrIzs7m6quvZvTo0bRv3x6tNffdd58xnUBcXBx2u53s7OxaJ98UQrReLS7E/G7uVw2y318uG1Pj+pKSEvr27Qt4a2Jmz57Nli1bGDRoEF27dgW8s/zu3r3b+DLIy8vj4MGDbNiwgTvvvNOY2KtiG2FMTAyhoaHMnj2bG2+8kfHjxxtVab795ObmGjNXz5gxg2nTphmPv+mmmwAYMGAA6enp1f4Nt956KwA//vgje/bsYdw479kAbreb9u3bU1BQwMmTJ5k6dSqAMVCS0+nkySef5Ouvv8ZkMnHy5EkyMjJo165djcesKlu3buXjjz8GvF/g/rUu06ZNq/JMnQ0bNjB37lzjdOSq2lhXrVrF8uXLcblcnD59mr1799KzZ89yx9UXFIYNG8bMmTO55ZZbjGMXiGPHjtGxY0eOHDnCmDFj6N27N5dddlmtjzt9+jQJCQnG/Y0bN/LCCy9QXFxMTk4OycnJTJw40RgAz+VyVQoy48aNM77sb7rpJv75z38yZcoULr30UoYMHoz94EG+2rq1xvcZwPTp05k+fXrAf3MglixZwn333ceKFSsYMWIEHTt2xGw2c+jQIfbt22f0kRk3bpwxEztAYmIip06dkhAjhKhWiwsxTSUsLMyoTfAXEXF+yGytNUuXLuW6664rt8369etr3LfFYmH79u18+eWXfPTRRyxdurTWx/jznQbnG38E4M477+T777+nQ4cOfPbZZ+XKqrUmOTmZrVvLj5zpP/W7v/fee4/MzEzS0tKwWq106dKF0tLSgMsXKP9jeSGOHj3KkiVL2LFjB3FxccycOZPS0tJKx/W1117jq6++YtmyZWzbto1PP/2UAQMGkJaWFtAXaceOHQHo1q0bo0aN4vvvvw8oxISFhRnHq7S0lP/6r/9i586ddO7cmWeeecZY5xv8TilFYWFhuX1UrPXy3b/QY3YhNTEdO3bkp59+Mu6fOHHCOAb+OnToYATTwsJC/vrXvxIbG8tbb73FkCFDjM7f48ePZ+vWrUaIKS0tLTdUuhBCVNTiQkxtNSZN6brrruONN95gzJgxWK1WDhw4QMeOHRk3bhzPPvss06dPN6r5/X8lFxYWUlxczIQJExg2bBjdunUrt9+YmBji4uKMX7HvvvuuUStTnXfeeafadVdccQWZmZls3bqVq6++GqfTyYEDB0hOTqZTp06sWbOGKVOmYLfbcbvd5OXlkZiYiNVqZePGjRw7dqzOx2jo0KG8//773H777bz33nvGF1pNxo0bx5tvvsno0aON5iT/45efn09ERAQxMTFkZGSwbt06Ro0aVe1xPXz4MIMHD2bw4MGsW7eOn376qdYQc+7cOcLDwwkJCSErK4vNmzdX6rtTnauuuopDhw4xatQoI7DEx8dTWFjIRx99ZDQ1denShe+++45BgwaxevVqAKNG5osvviAnJ4ewsDDWrFnD22+/Xel5xg4dyqKyJsGq3mdwYTUxAwcO5ODBgxw9epSOHTvy/vvv8+c//7nSdllZWbRp0waTycRvfvMbZs2aBcAll1zCW2+9xRNPPIHWmn/84x88+OCDgDdInzlzxuj3I4QQVWlxIaY5mzNnDunp6fTv3x+tNQkJCaxZs4brr7+eXbt2kZqais1mY8KECTz//PPG4woKCpg8eTKlpaVorfntb38LlJ8EcuXKlcydO5fi4mK6detWY0ipjc1m46OPPuL+++8nLy8Pl8vFgw8+SHJyMu+++y733HMPCxYswGq18uGHHzJ9+nQmTpxI7969SU1N5corr6zzcy9dupQ777yTF198kYSEhID+jjlz5nDgwAFSUlKwWq3cdddd3Hfffcb6Pn360K9fP6688ko6d+7MsGHDgMrH9aWXXgK8p3wfPHgQrTVjx46lT58+tZZh3759Ridcj8djdBgOxA033MCbb77JnDlziI2N5a677qJXr160a9eOgQMHGts98sgj3HLLLSxfvpwJEyYAGE1LgwYN4j/+4z84ceIEt912G6mpqZWaDq8dMYK9WVnVvs8ulMVi4bXXXuO6667D7XYza9YskpOTAe/wAKmpqUyaNIlNmzbxxBNPoJRixIgR/O53vwPg5ptv5quvvqJ3794opbj++uuZOHEiAGlpaQwZMkRGLBZC1EhV7CBarztX6nrgFcAM/F5rXeVAEkqp/wA+AgZqrWsc2CM1NVVXHPtj3759RofA1sLpdBrn34vg97Of/Yy//e1vxMbGBvwYXTavycqVK/n++++NcFCRx27HfvAgymYj9PLL66nEDeuBBx5g0qRJjB07ttK61vj/flHOHYNXUiDmEnjo301dmovmG7H32aHPMrXH1KYujqiL4n/C8eEQNgwu/SdKqTStdWrtD6yswU6xVkqZgd8B44GewM+VUpV+miqlooAHgMqnNYhqyai9Lctvf/tb43TyQPlCrFIKj8fTokb27dWrV5UBRggh/DXkz/hBwCGt9REApdT7wGRgb4Xt/gdYDNTvcK0tnO+LS2st8ym1AIMHD67T45RSzJo1ixkzZhghxjeuTDC76667mroIQogg0JCD3XUEfvK7f6JsmUEp1R/orLX+tAHL0SL5vqSkNkZUnKLA7XbL+0II0So02Yi9SikT8BLwcADb3q2U2qmU2pmZmdnwhQsCEmKEP1/TktlsxuPx4HK55L0hhGjxGjLEnAQ6+93vVLbMJwroBWxSSqUDQ4BPlFKVOvdorZdrrVO11qn+g4JV2Ka+yh0UfOOFtLa/W9TMbDYbnb2rGhQv2Mn7XQjhryFDzA6gh1Kqq1LKBvwn8IlvpdY6T2sdr7XuorXuAnwLTKrt7KSqhIaGkp2d3eo+4CTEiKqYTKbyQaaFvEe01mRnZxsjRQshRIN17NVau5RS9wHr8Z5i/bbW+gel1LN4Z6z8pOY9BK5Tp06cOHGC1tbU5OvYW9VQ/EJorb3vEZcLnZ0NZjPWID+DKTQ0lE6dOjV1MYQQzUSDDjKitf4M+KzCsgXVbDuqrs9jtVqN+Ylak9LSUnJycoiPj8dmszV1cUQzpLUmZ+9ezv7yPkwdOtBjwxeYTDJ5vRCiZZBPsyDm32QgRFWUUkRFRZXd02RlZeFwOJq0TEIIUV8kxAQxi8WCyWTC6XQ2dVFEEDCZzGjtDTL5+fnSn0oIEfQkxAQ5i8UiIUYERClFQkIC4eHhFBYWkpWVJe8dIURQkxAT5KxWq3wRiYCZTCZiY2Np06YNHo+HrKwsCgsLpVZGCBGUJMQEOavVakwEKESgQkNDSUhIIDQ0lPz8fLKzs+U9JIQIOhJigpzVagWQ2hhxwUwmE3FxccTFxeFyucjMzKSoqKipiyWEEAGTEBPkfLMYy69oUVdhYWEkJCRgs9nIy8sjOzu7Rc2ILYRouSTEBDnfnDlSEyMuhtlspm3btsTExOBwOMjMzJS+MkKIZq9BB7sTjcNqtWK325u6GKIFiIiIICQkhPz8fPLz8ykuLiY6OlqG+hdCNEtSE9MCWCwW3G53i5vsTzQNi8VCmzZtaNu2LQA5OTlkZ2dLbZ8QotmRENMCSOde0RBCQkJISEggJiYGp9NJVlYWeXl5EpaFEM2GNCe1AP4hJiQkpIlLI1oSpRQRERGEhYVRUFBAUVERJSUlREVFER4ejlKqqYsohAhW+uJPIJCamBbAZDJhNpulJkY0GJPJRExMDAkJCVitVvLy8sjKypK+WKLJaKTTedCydvFeO/bDRZ48ICGmhbBarXKatWhwVquVtm3b0qZNG7TWZGdnS5gRjcpmsgHwUtpL/GX/X3B55HMv6Fg6grkdeHLBeeiidiUhpoXwhRg5JVY0Bt+IvzExMbjdbgkzotHM7j2bwe0Gk2fP4/ltzzPt/6ax9dTWpi6WuBBKQdgg7+2S7Re1KwkxLYTFYpHpB0Sj8vWXSUxMrBRmSktLm7p4ooXqENmBt659i5dHv0ynyE4cyj3E3V/czX9/9d8czz/e1MUTgQod6L0u3XFRu5EQ00LIGUqiOsri7b/vPHGCM889j7uwsH737xdmYmNjcbvd5OTkkJmZKWFGNAilFGMvGcvaKWt5sP+DhFvC2fTTJiavncxLaS9R6Kjf97hoAL6aGAkxAs5PPyAhRlRkad+etnfdBSYT5959lyMTbiD/8/X13vSolCI8PNwIM1prI8yUlJS06KZO7XbjSE/HfuQojuPHcZw4ifPMGVyZmbhycnDn5eEuLMJTWop2ONBymnq9sJltzO49m79N/RtTuk/B5XHxzp53uHH1jaw+uBqPluPcbIWmeq9Lv7uo3ahg+2BJTU3VO3fubOpiNEtZWVkAxMfHN3FJRHNUum8fp59+htLduwGIGDmCdvPnY+vUqUGeT2tNSUkJhYWFuFwuzGYzERERhIeHYzIF/+8n58mTFG7ZQtHmLRRv3Yo7L+/CdqAUmM2osovvNhYLymQCixlltlRYZ0aZqt4Os6nS9spiBlcpat9qCI1E9fvF+e0sZjBV2K/FDMY+KmxnOb9fU0QEEYMHo2y2hjm4dbQnaw+Lti/iX5n/AqBn257MGzSPfon9mrhkokqHe4DzEOoq0rTWqXXZhYSYFiQvL4+SkhLatWvX1EURzZR2u8n98EPO/vYlPAUFqNBQ4u+9l7Z3zmywLyStNaWlpRQXF2O321FKERYWRkREhNEMGgzchYUUb99O0T83U7RlC4709HLrLUlJmMLC0G43uN3osovvNi4X2uPx3m4BNaYJDz1E/D13N3UxKtFa89nRz/jftP8lozgDgPFdxvPQgIdoH9m+iUsnyjn1C8j/i4QY4VVcXExubi6JiYlYLDKOoaieKzOTjMUvkP+3vwFg634Z7Z95hvDUOn2OBMzpdBoD5mmtsdlsREREEBoa2uwGztMuF6V79lC4eTNFW7ZSsmsX+M3ubYqMJOLqIUQMHUrEsGHYLrnkwvbv8ZwPOy43eMqHHVyuSkFIu1zg8Xiv3W602wPuCtv59uVyo90uyD+L/uJpCGmDHvmE37oK27k93utq17nB7cJ+5Cj2/fuJu+022v2/p+r5qNefYmcx7/zwDu/seQe7206oOZRZvWYxs9dMwixhTV08AZDzv3D2VxJihJfD4SArK4s2bdrIhH0iIEVbtnBm4bM4jh0DIOamm0h89BEscXEN+rwej4fi4mKKi4uNpqbw8HDCw8Mxm80N+tw1cfz0E0WbN1O0eQtF336Lp6Dg/EqzmbA+fcpCy1DCevc2Ok03a+eOwSspEHMJPPTvi95dzh/fJeP555t9iPE5VXiKl9JeYn36egDaRbTjVwN+xfVdrm92wbnVKd4Mx392USEmCP4DRaD8z1CSECMCETF0KF0/WUv28rfIXr6cvI8/pvCrr0h89FFibpraYB/yJpOJyMhIIiIisNvtFBUVUVBQQGFhIaGhoYSFhRESEtLgXzLu/HyKvv2WorK+Lc6ffiq33nbppUQM89a0hA8ahDkqqkHLI+pfh8gOLBm5hJ9f+XMWb1/Mvpx9PPb1Y/xl/194fNDjJLdNbuoitl6h/QAzUPfpByTEtCBKKSwWi5yhJC6IKSSEhP++j+gbbuDMs89S/O23nH7qKfJWr6bdM08T0r17gz23UorQ0FBCQ0NxuVxGU1NJSQkmk4mwsDDCw8Prre+Mdjop2b3bW9OyeTMl//43+J0pZIqJIWLIEG9wGToMW6eO9fK8oukNSBrAX274C2sPr+WV717h+7Pf8/O//Zwp3adwf//7iQ+TEyIanSkcQnoB/6rzLiTEtDBWqxWHw9HUxRBBKKRbVy55523y//Y3MhYtpnjnTo5MmUrbWbOIv3cuprCG7UdgsViIiYkhOjoau91OSUkJxcXFFBUVYbVaCQsLIyws7IKam7TWONLTjZqW4m3b8BQV+T8p4f37E/GzYUQMHUpocrL3zBzRIplNZm7qcRPjLh3H8t3L+dO+P7H60Gr+fuzv3J1yN7dddRs2c/M646rFCx+BhBhhsFqtlJSU4PF4WsRprKJxKaWImTiRyBEjOPvS/5L7wQdkL19O/mef0W7BfCJHjGiUMvhqZzwej1Ezk5+fT0FBASEhIYSFhVXbGdidm+ttIirr2+I8darcelu3bka/lvCBgzBHRjT43ySalyhbFA+nPszNl9/Mkh1L2HRiE/+b9r98dOAjHk19lFGdR0l/mcaS9CqwtM4PlxDTwvj3iwkJCWni0ohgZY6Jof3CZ4iZMpkzzyzE/uOP/HT3PURddx1JTz6BNSmpUcphMpmIiIggIiICl8tFcXExJSUllJaWGmEnxGxG79vvrW3ZsoXSPXvKzYxrjo0lYujVRAzz1rZY28tptvXBnZOD8/RpLAkJwdHBuQqXRl/K0rFL2XxyMy/seIEjeUe4f+P9XN3+ah4b+Bjd4xquKVXUDzk7qYVxu91kZGQQExNDRIT8whQXT7tc5PzxXTKXLkWXlGCKiCDhgQeIm/6LJml68Xg8FP34I/lff0PJ1q04d+0Cv+kNlNVKWP/+RmgJ7XmVd1C41qq+z07685/JePZ/zi9QCkt8PJakJCxJSViTErEk+t1OSsKS1K7Z13g5PU5W/biK3+36HQWOAszKzC1X3MIv+/6SmJCYpi5ei6aUklOsxXkZGRmEhIQQGxvb1EURLYjz1CnOPPc8hV9+CUBoz560W7iQsN69Gvy5XTk5FG3ZWta3ZTOujIxy6y3dumEeMABz/35Y+/QhNDbWaJJq9c2q9RxinGfPcnbxCzjS03GezcCdlV2u5qs6poiIskCTiLUs5FiSErGWhRxLUiKWtm2bvE/SudJz/G7X7/jwwId4tIdoWzS/7PtLbrniFiym4Kxxau4kxIhysrOz8Xg8JCQkNHVRRAtU8OWXnPn1c7hOnwaliPvFL0h48IF6Pf3YY7dT8t13FG3ZQuHmzdj37iu33ty2rbdfy9ChRAy92mjecjgclJaWUlJSgtvtRimFzWYjJCSEkJCQoBohuN7Uc4ipSDuduLKyvHNFZZzFdTYDZ0aG93ZGBs6z3ts6kMlAzWYsCQmVg067dlgSkwi94nLMjfTj7MC5A7yw/QW2ndkGQPfY7jw28DGu7nB1ozx/ayIhRpSTn59PUVER7dq1k85pokF4iorI/N3r5KxcCW43loQEkp58gqjr6zaAmNYa+4GDRk1L8c6d5b70lM1GeGqqMWZLyOWX19pE5HQ6KSkpwW63G8MOmM1mbz+aslDTKv4/GjjEBEJrjScvD2dZyHFlVAw6Z3GdOYP73Lka92OKiaHHPzZhaqRxsLTWfPXTVyzZsYQThScAGNV5FI+mPsol0Rc2QrOonoQYUU5JSQnnzp0jISGhdf7yFI2m9McfObPgaUr+5T1FMmL4cNrN/38BDcHvysw0OuMWbtmCOzOr3PqQK64w+rWEpw64qC8ut9uN3W6ntLQUu92O1tqopfGFmhY7VUczCDGB8jgcuM56g4036JTdPptBwRcb0E4n3TdtxNrI88M53A7e3fsuy3cvp9hVjMVk4faet3N377uJtEU2allaIgkxohyXy8XZs2eJjY0lPDy8qYsjWjjt8ZD74Uec/e1v8eTno0JCiL93Lm1mzcLkN6mkp6SE4p1pRm2L/cCBcvsxJ8QTOXSYt7bl6quxNFBzqNYah8NhhBqXywV4x6nxNT3ZbLYmnf6gXgVRiKnJwZGjcGVkNEmI8ckszuSV715h7eG1ALQNbcsD/R9gcvfJmFQr73t1ESTEiHK01pw5c4bw8HBiYqRXvWgcrqwsMl54gfxP/g/wjseScP9/4zxxgqItWyjemYb2G4hRhYYSPnCgMWZLSI8eTdK843a7jRoah8OBp2wEX4vFYjQ72Wy24O0gLCGm3u3J2sOi7Yv4V6a3BvKqNlcxb9A8+if1b9Jy+WitcXlcODwOnG4nTo8TpVSzHZVYQoyoJCsrC6UUbdu2beqiiFam6NtvOfPMQhzp6ZXWhfbsafRrCevXD1MzG8tIa43L5TICja/pCbxjMPkCTVCFGgkxDUJrzWdHP+OltJc4W3wWgPFdxnPrlbcC3lO2fQHC6XHicDtweVzGff91/vf9g4f/xeV2lbvvcDuq3ZfL46qyzA8NeIhZvWY12jEK1MWEmBbaCCx8I/cK0dgihgzxTir5+99T+OVXZX1bypqI2rRp6uLVSCmF1Wo1+pJprXE6nUaoKSoqorCwEDjf/OS7tNg+NaJKSilu6HYDozuP5p0f3uGdPe+wLn0d69LXNXXRALCYLFhNVqwmKx7todBZyI85PzZ1seqd/Ne1UBaLBY/Hg9vtbjlt+yJomGw2Ev7rv0j4r/9q6qJcFF/nX1tZ3x5ffxqHw4HT6aS0tJTi4mLAe+aT1Wo1trdara3j7KdWLtwazi/7/pKp3afy+q7XOZR7CJvZ5g0QZqsRJIyL3zJjuyrWWUwWrGYrNlPN+7KZbJXWWUyWcu+9vx35G09880QTHqWGIyGmhfKffkBCjBD1Qyll9JPxcTqdlYKNb1tfrY4v1EhtTcvVIbIDv/7Zr5u6GK2O/Ee1UP4hJrSRxlQQojXyBRXfNB9ut9sINA6Hw5iJG7xzQVUMNvIjQ4i6kxDTQimlsFgsxiBfQojGYTabCQsLIywsDDjfWdgXapxOZ7m+Nb5mKF9NjdTYNCMeD7hKwFEMziLvtaMIlIIO/cAkAbSpyX9KC2a1WnE4HMbAXkKIxuffrOQbt8nXYdgXbHxnRPnOhDKZTEag8Q848n9cBY8HnMXei6Oo7NovdDiLwVFYxbIqtnUUld/GWVz98457FoY90Hh/p6iShJgWLCwszBh2XZqUhGg+/DsM+5qhfMHGV2vjdDopLi42go2vdtW/tsZ3afYqBg0jQFQVOqoKH8VQXDai88pJEFISWNCoD5YwsIWDNcJ7bS+A/JOQd6JhnzdAr776Km+88QY9e/bk1KlTfPfddzz33HM88sgjAe8jJyeHW2+9lfT0dLp06cKqVauIi4urctv8/Hx69uzJlClTeO211+rrz6izIHj3i7oKCQnBbDZTVFQkIUaIZq7imVDgDTZut9sINS6XC4fDUW74BF9NT8Vwc8F9bTyeaoKEX9BwFNYSOoqqDiauehjuwZUEmCH7IIR7yq/zBQ1bxPmwYfXdDy8fQsptU9O2Zfcrjge07U1Y99jF/z315PXXX2fDhg3YbDaOHTvGmjVrLngfixYtYuzYscybN49FixaxaNEiFi9eXOW28+fPZ8SIERdZ6vojIaYFU0oRERFBfn4+TqdT5lESIsj41774+tgAeDweXC6XUWvjcrnKne4N55ukbEX5RAO6KBP9p2koVzHKCB2+oFEErgBmmb4Y1vDKgcIaDrbImkOHL1B88T9Qkgu3r4WOnc9vW1XQaCXmzp3LkSNHGD9+PLNmzeKhhx7i008/veD9rF27lk2bNgEwY8YMRo0aVWWISUtLIyMjg+uvv57mMuishJgWLjw8nIKCAoqKiohtpCnshRANy2QyVaq1AW+48YUa36VUhRBlsqJcJahDf695x7XVYviWG+sqXldT42EJu/igYXnBe51wObRp+hF7m4Nly5bx+eefs3HjRuLjq59S4PFbH+dIxhFWhKxgfcR6Y/mSJUu45ppryMjIoH379gC0a9eOjIyMSvvweDw8/PDD/OlPf2LDhg31/8fUkYSYFs5kMhl9Y6Kjo4NnqHQhxAUzmUyVxrGhbVs8s9bjzjyE2xyCyxSCy2TDpUJwm0LwWELRljC0JRST2dsM5d8k5bstnx3Ba/EHi3nimyeY0HUCi0dU3Uzko5SqsgP566+/zoQJE+jUqVNDFbNOJMS0AhERERQXF1NcXExkpEwbL0RrY+o0AFOnAVgA/9mqfH1uXC6Xce1roqo4bYnJZMJsNhvBxv/abDbLmVPNWG01MUlJSZw+fZr27dtz+vRpEhMTK+1j69atfPPNN7z++usUFhbicDiIjIxk0aJFjfmnVCIhphXwTVxXVFRERESEfNgIIYDyfW4q8g84vpDju+9/OrhPxVDjf99kMsnnThOqrSZm0qRJrFy5knnz5rFy5UomT55caZv33nvPuL1ixQp27tzZ5AEGJMS0GhEREeTk5Mjp1kKIgNQUcIByocb/2m6343a7K+3L19HYP+T4XyTkXJwzZ86QmppKfn4+JpOJl19+mb179xIdHV3rY+fNm8ctt9zCH/7wBy699FJWrVoFwM6dO1m2bBm///3vG7r4dSYhppWQ062FEPXJFz4qdi6G87U4FYNOdSEHyjdX+V98y0XV0tPTjdsnTtRt7Jq2bdvy5ZdfVlqemppaZYCZOXMmM2fOrNNz1TcJMa2EnG4thGgstdXi+EKOx+MpF3Z8F4fDgcdTfiwYX/DJzs7GZrOVCz0Vb4vWQ0JMKyKnWwshmgNfyKlJxdqcQpMJN94aIN8AgFXV6PiarvzDTVXX0k+nZZAQ04rI6dZCiGBRsTbHFzhiY2OxJiQA3qDjX5vju+2/rKpaHZ/qwk3F29WddiyanoSYVkZOtxZCtBRKKaMZqSb+Yaeqa4/Hg91ux+PxVDrryscXaMKLiogA7A4HjoKCcoHH/9Lcaa1x5+biysjAlZGBMyMDd24e0deOw9alS1MXL2ASYloZOd1aCNHaBBp2ACPUVAw5vvu+kONyuSgoKKj2+aoKNjVd6vOz2GO34zp71ggnMfv+we273fTy7CT9zdu8weXsWbTDUemxJbv/RedmMLFjoCTEtEJyurUQQlSt1pqUshrsiPBwwtu3rzH0+C5Op9O4XZ2ago9vnVIK8vLwZGXhzszEffYsrrOZuM56w4orwxtc3Lm55fYdD0wE4BQlnDr/t0ZFYUlKxJqYhNYeird+i6eoqM7HrilIiGmF5HRrIYS4eBdSwwPeJhxf01bFi7ukxAgi9rNncZ89izsrE09mFp4s70VnZ4PTWfsTmc2Y4+MxJyZiSUzkRFgxnxVto3OXPvxi+H3Y2rXDmpSEOSLCeEjRli0c3/ptXQ9Fk5EQ0wrJ6dZCCNE4tMeD+9w5o2nHlXEW19mzOM+erzlxZWTgzssLaH+mqCjMiYmYExIwJSRgio/HlBCPatsW1TYe1bYNxMaiwWj6Onr6Kz7Zs4PR7eIp9PV3ycvDVFBg1PK48vMBcDld5OXlVVkLVPG6OXRHkBDTSsnp1kIIcXE8paWVwom3aed8OHFmZgZWe2KxYElMwJqYhCUpydvMk5SEJTEJS2Ii1qRELElJmMLCAi6fr9YnqjAKAJvNRmxsbLnaIN9tZ1l/Zo/2UFJSUmPTl09NAaeqwFPdsoshIaaVktOthRCiatrjwZ2T4xdOvB1hnRkZuA6k4TqegHPtejwlfwtof6aYGKyJiVWGE999c5s2qHr+HDaauyze5i6z2Ux4eHiV2xbFRJOHN+i0a9fOaPqqKvDUdO10Osvdb2gSYloxOd1aCNHaeEpKympPKoSTstoT59kMXJlZtdSeWAEnWK1YExLKwkmSt7akQjixJCZeUO1Jc+HfXFTXaR8qBiH/6/oKOhJiWjE53VoI0VJojwd3dna14cTXzOMp6/tRG3NMjBFOfGfwWBITseR9h3Xv77EMnY552sv1XnvSktRHEKqNhJhWTk63FkIEk4K/f4F22Mv3Ozl7FldmJrhctT5eWa1lNSV+4SSpfL8TS2Iipuo+D7flwmkXRIWABJgmJyGmlZPTrYUQQaEsMGQ8/3y1m5hjY2vsd2JJSsIcF1c/tc7aA1qD1GA3KQkxrZz/6dbFxcXVdvoSQoim1Hb2bAo+/xxLYkKV4cSSmIgpJKTxCrTj97DzbbCGgzUMLGHe63KXcLCEnr9tDT2/fU3rLGHll1vCpNanGhJiBBEREdjtdvLy8rBarTJujBCi2Wlz23Ta3Da9qYsBlw6D6E5QmAEeJzgKvZeGZgktCz3hlcNSudBTxbqidO8+8k7AwS+qDl2O4Bqp10dCjEApRWxsLFlZWZw7d474+Hg55VoIIarSrhf86gfvbbcLXCXgLAFnMThLy65L/Jb7X2pZ5/J7fMV9uUq9l9LcCy9zRDgkxsPxrZBWzWnhZ2xAPBz5BzzfqSzcXGjNUVW1UBWDVfj5QFYP3zMSYgTg7TkeFxdHdnY2eXl5xMXFNXWRhBCieTNbwBwFIVEN+zxalwWcmkJPxaDkt67wKBTvg+iOENOv6tBl9Tul3FHgvTQ0X/i5mF3UU1FEC2Cz2YiKiiI/Px+bzUaE37waQgghmohS52sy6uLI3+CbJ+DSoTBicdXbbNkCX8yGriNg3qu1BKVa1lWqnapie1dpWQ1TSd2PCxJiRAWRkZE4HA7y8/OxWq3YbLamLpIQQojGohSERnsvDcnjOV+7tDC+zruRjg+iktjYWMxmM+fOnQto/gwhhBDigphMYAuHiLYXt5t6Ko5oQUwmE3FxcXg8Hs6dO9fUxRFCCCGqJCFGVMlqtRITE4PdbqegoBE6eAkhhBAXSEKMqFZ4eDhhYWEUFBRgt9ubujhCCCFEORJiRI1iY2OxWq2cO3cOt9vd1MURQgghDBJiRI2UUsTFxaG15ty5cxc9bboQQghRXyTEiFpZLBZiY2NxOBzSP0YIIUSz0aAhRil1vVLqR6XUIaXUvCrW/0optVcptVsp9aVS6tKGLI+ou7CwMCIiIigsLJQgI4QQollosBCjlDIDvwPGAz2BnyulelbY7HsgVWudAnwEvNBQ5REXLzo6mvDwcAoKCqRpSQghRJNryJqYQcAhrfURrbUDeB+Y7L+B1nqj1rq47O63QKcGLI+4SL6JIqOjoykpKSErK0s6+wohhGgyDRliOgI/+d0/UbasOrOBdQ1YHlFPIiMjadOmDS6Xi6ysLJxOZ+0PEkIIIepZs+jYq5S6DUgFXqxm/d1KqZ1KqZ2ZmZmNWzhRpdDQUOLjvfNdZGVlUVJycZN4CSGEEBeqIUPMSaCz3/1OZcvKUUpdAzwFTNJaVzmimtZ6udY6VWudmpCQ0CCFFRfOarWSkJBgjCMjHX6FEEI0poYMMTuAHkqprkopG/CfwCf+Gyil+gFv4g0wZxuwLKKBmEwm2rZtKx1+hRBCNDpLQ+1Ya+1SSt0HrAfMwNta6x+UUs8CO7XWn+BtPooEPlRKARzXWk9qqDKJhuHr8GuxWMjPz8ftdhMXF4fZbG7qogkhhGjBGizEAGitPwM+q7Bsgd/taxry+UXjioyMxGKxcO7cObKysoiNjSUkJKSpiyWEEKKFahYde0XL4evwq5QiOzubnJwcXC5XUxdLCCFECyQhRtQ7X4ff6OhoHA4HmZmZ5Ofn4/F4mrpoQgghWpAGbU4SrZdSisjISMLCwigoKKCwsJCSkhKioqIIDw9v6uIJIYRoAaQmRjQos9lMbGws8fHxmM1mcnNzyczMxOFwNHXRhBBCBDkJMaJR2Gw24uPjiYuLw+PxkJWVxblz52TaAiGEEHUmzUmiUYWFhREaGkpBQQFFRUWUlpYSERFBeHg4Fou8HYUQQgROvjVEo1NKlZsRu6ioiMLCQkJDQ4mIiJDTsoUQQgREQoxoMhaLhbi4ONxuN8XFxUbNjMViMWpnygZBFEIIISqRECOanNlsJioqisjISEpKSigqKiIvL4+CggLCwsKIiIiQpiYhhBCVyDeDaDaUUoSHhxMeHo7D4aCoqMiooQkNDSU8PJyQkBCpnRFCCAFIiBHNlM1mw2azGU1NxcXF5OTkoJQiNDTUuEigEUKI1ktCjGjW/JuaHA4HpaWllJaWUlJSglKKkJAQwsLCCAkJwWSSEQOEEKI1kRAjgoIvsISEhBAdHY3T6aSkpMQINb71vhoaCTRCCNHySYgRQUcpZTQ3xcTEGDU0vlAD3vmbQkJCjO0k1AghRMsjIUYEPV9Q8U04abfbjY7BhYWFKKWwWq3YbDYj2EhfGiGEaDja6cRjd6AddnRpKR67He1woO12PKWlaN86u/2inkdCjGhRfIEGQGuNw+Ewgo1/qPFt5ws3UlMjhBDgPHWKrOVvoe12tL3UG0Ts3rDhKbvWdjsehx1dWtVt7/Y00pQyEmJEi+XfjyYqKgqPx1Mu1BQUFBjbWiwWrFarEWqsVqvU1gghWg1VNlK689hxMl966eJ3aDKhQkMx2WyokBBUaAgmW4j3dkgIppDzt/lxf52fRkKMaDVMJpPR8RfA4/HgdDqNi8PhoKSkxNjeF2p8F4vFIjU2Qohm5dVXX+WNN96gZ8+enDp1iu+++47nnnuORx55JOB95OTkcOvjj3M4J5vO0dG8dccdxMXGecNGqDdo7Dl5ioffWk5BaSlms5lHZ83ilokTvUHEZvOGktBQlC0EU4gNLJbAfwi+8nLd/ngkxIhWzGQyGTU1Pm63u1yoKS0tpbi42FhvNpuNQOOrvbFcyD+rEELUo9dff50NGzZgs9k4duwYa9asueB9LFq0iLHXXMMXGzawaNEi/nDuHIsXLCi3TdKBA7w3aSI9evTg1KlTDBgwgMm//CWxsbH184fUkYQYIfyYzWbMZrNRWwPng43L5TKu7XY7WmtjG1+o8b/49iWEEA1h7ty5HDlyhPHjxzNr1iweeughPv300wvez9q1a9m0aRMAM2bMYNSoUSxevLjcNpdffrlxu0OHDiQmJpKZmSkhRojmrqoworUOKNyYTCbMZnO5YCMBRwhRH5YtW8bnn3/Oxo0biY+Pr3a7x299nCMZR1gRsoL1EeuN5UuWLOGaa64hIyOD9u3bA9CuXTsyMjJqfN7t27fjcDi47LLL6ucPuQgSYoSoA6WUEUz8+cKN2+3G5XIZF9/gfBX34Qsz/sHG/yKEEBdr8QeLeeKbJ5jQdQKLRyyucVulVI3N46dPn+b2229n5cqVzaKPoIQYIeqRf7jx72sD5wOOy+Uygo7vfklJCR6Pp9K+zGazUZvju/jfN5lM0h9HCFGj2mpikpKSOH36NO3bt+f06dMkJiZWuZ/8/HxuuOEGnnvuOYYMGdJYxa+RhBghGkl1tTc+WutKAcd3cTqdlJaWlmuq8vEPNiaTqdxt/2XN4VeTEKLx1VYTM2nSJFauXMm8efNYuXIlkydPrrSNw+Fg6tSp3HHHHdx8882NUeyASIgRopnwjSxstVqr3cbj8RjBpqrbTqcTj8dTZdhRSlUZbGq6CCGCw5kzZ0hNTSU/Px+TycTLL7/M3r17iY6OrvWx8+bN45ZbbuEPf/gDl156KatWrQJg586dLFu2jN///vesWrWKr7/+muzsbFasWAHAihUr6Nu3bwP+VbVTVX3YNWepqal6586dTV0MIZo1X6jxv65423ep7jPA1zZeXcCpuM53v7Y2dSFE4/rbkb8F3CemKSil0rTWqXV5rNTECNECXUhNiq+vTsVw4x9yAqnpqfj8/iHHP+AEei2EqF8OtwOH24HNbGvqotQbCTFCtHK+vjoXwhds/ENOTbd9oyP7lgXCv1YnkNs1LZPaIdGaKbzv/Q3HNzDgTwOIDYklPiyexPBE4zohLIGE8IRy18EQdiTECCEumP/p4XXhH3Kquq7utn8Y8l0upMwXEnjqchGiORrcfjCD2w/maN5RskuyybXnkmvP5VDuoRofFxMSQ0JYQrmwU1XoacqwI31ihBBByz/M+IeempYFsq6un4vVBZvagk9dlvnf990WojZuj5tz9nNkFmeSWZJZ7vpsyVmyirM4W3KW7JJs3Dqwmah9Yaeq2pzE8EQSwhOID4snxBxS5eOlT4wQolXy/xKv78EBawo4F3Lx31fF4OS/7mIFGnQCuV2X9TUt878WTctsMhMfFk98WDxXcVW123m0h5zSHLJKsjhbfLba6+ySbPLseeTZ8wKu2akYdi6GhBghhKhCYzYRVQw0Vd0PZBv/+9Wt8/VJqukxDaUuoedirxtym4q3WxKTMhlh58o2V1a7nUd7OFd6rlKtTrnrkkyyirMCDjsXQkKMEEI0seZWW1FTIKpp/YWsC3Qb/9AVyHVTCDToVBd+Al3f2LcD3S7GGkOsLZYeMT2q3c6jPeTac8kqySoXcM4Wn2UPe6grCTFCCCHKaW6h6kIEGnb8Q099rattWSCPCfTxNd1uzqKIIkpFcVnkZRDpXTaf+XXen4QYIYQQLUYwB7D6UFtgqm6bmm7Xx3a1rasrCTFCCCFEC9Ea+uv4k8lRhBBCCBGUJMQIIYQQIihJiBFCCCFEUJIQI4QQQoigJCFGCCGEEEFJQowQQgghgpKEGCGEEEIEJQkxQgghhAhKEmKEEEIIEZQkxAghhBAiKEmIEUIIIURQkhAjhBBCiKAkIUYIIYQQQUlCjBBCCCGCkoQYIYQQQgQlCTFCCCGECEoSYoQQQggRlCTECCGEECIoSYgRQgghRFCSECOEEEKIoCQhRgghhBBBSUKMEEIIIYKShBghhBBCBCUJMUIIIYQIShJihBBCCBGUJMQIIYQQIihJiBFCCCFEUJIQI4QQQoigJCFGCCGEEEFJQowQQgghgpKEGCGEEEIEJQkxQgghhAhKEmKEEEIIEZQkxAghhBAiKEmIEUIIIURQkhAjhBBCiKAkIUYIIYQQQUlCjBBCCCGCkoQYIYQQQgQlCTFCCCGECEoSYoQQQggRlCTECCGEECIoNWiIUUpdr5T6USl1SCk1r4r1IUqpD8rWb1NKdWnI8gghhBCi5WiwEKOUMgO/A8YDPYGfK6V6VthsNnBOa90d+F9gcUOVRwghhBAtS0PWxAwCDmmtj2itHcD7wOQK20wGVpbd/ggYq5RSDVgmIYQQQrQQDRliOgI/+d0/Ubasym201i4gD2jbgGUSQgghRAthaeoCBEIpdTdwd9ldu1JqT1OWR1QSD2Q1dSGEQV6P5kVej+ZHXpPm5Yq6PrAhQ8xJoLPf/U5ly6ra5oRSygLEANkVd6S1Xg4sB1BK7dRapzZIiUWdyGvSvMjr0bzI69H8yGvSvCildtb1sQ3ZnLQD6KGU6qqUsgH/CXxSYZtPgBllt28GvtJa6wYskxBCCCFaiAaridFau5RS9wHrATPwttb6B6XUs8BOrfUnwB+Ad5VSh4AcvEFHCCGEEKJWDdonRmv9GfBZhWUL/G6XAtMucLfL66Foon7Ja9K8yOvRvMjr0fzIa9K81Pn1UNJ6I4QQQohgJNMOCCGEECIoNdsQI1MWNC8BvB6/UkrtVUrtVkp9qZS6tCnK2ZrU9pr4bfcfSimtlJKzMRpQIK+HUuqWsv+TH5RSf27sMrY2AXxuXaKU2qiU+r7ss2tCU5SzNVBKva2UOlvdECnK69Wy12q3Uqp/QDvWWje7C96OwIeBboAN+BfQs8I2/wUsK7v9n8AHTV3ulnoJ8PUYDYSX3b5XXo+mf03KtosCvga+BVKbutwt9RLg/0gP4Hsgrux+YlOXuyVfAnxNlgP3lt3uCaQ3dblb6gUYAfQH9lSzfgKwDlDAEGBbIPttrjUxMmVB81Lr66G13qi1Li67+y3ecYFEwwnkfwTgf/DOSVbamIVrhQJ5Pe4Cfqe1PgegtT7byGVsbQJ5TTQQXXY7BjjViOVrVbTWX+M9C7k6k4E/aq9vgVilVPva9ttcQ4xMWdC8BPJ6+JuNN1GLhlPra1JWHdtZa/1pYxaslQrkf+Ry4HKl1Gal1LdKqesbrXStUyCvyTPAbUqpE3jPpP3vximaqMKFfs8AQTLtgAgeSqnbgFRgZFOXpTVTSpmAl4CZTVwUcZ4Fb5PSKLw1lV8rpXprrXObslCt3M+BFVrr3yqlrsY7blkvrbWnqQsmAtNca2IuZMoCapqyQNSLQF4PlFLXAE8Bk7TW9kYqW2tV22sSBfQCNiml0vG2MX8inXsbTCD/IyeAT7TWTq31UeAA3lAjGkYgr8lsYBWA1norEIp3XiXR+AL6nqmouYYYmbKgean19VBK9QPexBtgpK2/4dX4mmit87TW8VrrLlrrLnj7KU3SWtd5jhJRo0A+s9bgrYVBKRWPt3npSCOWsbUJ5DU5DowFUEpdhTfEZDZqKYXPJ8AdZWcpDQHytNana3tQs2xO0jJlQbMS4OvxIhAJfFjWv/q41npSkxW6hQvwNRGNJMDXYz1wrVJqL+AGHtVaS+1xAwnwNXkYeEsp9RDeTr4z5cdww1BK/QVviI8v64P0NGAF0Fovw9snaQJwCCgG7gxov/J6CSGEECIYNdfmJCGEEEKIGkmIEUIIIURQkhAjhBBCiKAkIUYIIYQQQUlCjBBCCCGCkoQYIUSDUkq5lVK7lFJ7lFL/p5SKref9p5eNu4JSqrA+9y2EaN4kxAghGlqJ1rqv1roX3jGdftnUBRJCtAwSYoQQjWkrZZO6KaUuU0p9rpRKU0p9o5S6smx5klJqtVLqX2WXoWXL15Rt+4NS6u4m/BuEEM1EsxyxVwjR8iilzHiHeP9D2aLlwFyt9UGl1GDgdWAM8CrwD6311LLHRJZtP0trnaOUCgN2KKX+KiPeCtG6SYgRQjS0MKXULrw1MPuAL5RSkcBQzk9TARBSdj0GuANAa+0G8sqW36+Umlp2uzPeyRMlxAjRikmIEUI0tBKtdV+lVDjeeWx+CawAcrXWfQPZgVJqFHANcLXWulgptQnvZH1CiFZM+sQIIRqF1roYuB/vpHvFwFGl1DSAsplr+5Rt+iVwb9lys1IqBogBzpUFmCuBIY3+Bwghmh0JMUKIRqO1/h7YDfwcmA7MVkr9C/gBmFy22QPAaKXUv4E0oCfwOWBRSu0DFgHfNnbZhRDNj8xiLYQQQoigJDUxQgghhAhKEmKEEEIIEZQkxAghhBAiKEmIEUIIIURQkhAjhBBCiKAkIUYIIYQQQUlCjBBCCCGCkoQYIYQQQgSl/w81EcQDvpuE8QAAAABJRU5ErkJggg==", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from openai.embeddings_utils import plot_multiclass_precision_recall\n", - "\n", - "plot_multiclass_precision_recall(probas, y_test, [1,2,3,4,5], clf)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Unsurprisingly 5-star and 1-star reviews seem to be easier to predict. Perhaps with more data, the nuances between 2-4 stars could be better predicted, but there's also probably more subjectivity in how people use the inbetween scores." - ] - } - ], - "metadata": { - "interpreter": { - "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8" - }, - "kernelspec": { - "display_name": "Python 3.7.3 64-bit ('base': conda)", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.3" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Classification_using_embeddings.ipynb b/examples/Classification_using_embeddings.ipynb new file mode 100644 index 00000000..1767a34f --- /dev/null +++ b/examples/Classification_using_embeddings.ipynb @@ -0,0 +1,136 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Classification using the embeddings\n", + "\n", + "In the classification task we predict one of the predefined categories given an input. We will predict the score based on the embedding of the review's text, where the algorithm is correct only if it guesses the exact number of stars. We split the dataset into a training and a testing set for all the following tasks, so we can realistically evaluate performance on unseen data. The dataset is created in the [Obtain_dataset Notebook](Obtain_dataset.ipynb).\n", + "\n", + "In the following example we're predicting the number of stars in a review, from 1 to 5." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " 1 0.52 0.72 0.60 18\n", + " 2 1.00 0.35 0.52 17\n", + " 3 0.50 0.12 0.20 8\n", + " 4 0.75 0.35 0.47 26\n", + " 5 0.84 0.99 0.91 131\n", + "\n", + " accuracy 0.80 200\n", + " macro avg 0.72 0.51 0.54 200\n", + "weighted avg 0.80 0.80 0.76 200\n", + "\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.metrics import classification_report, accuracy_score\n", + "\n", + "datafile_path = \"https://cdn.openai.com/API/examples/data/fine_food_reviews_with_embeddings_1k.csv\" # for your convenience, we precomputed the embeddings\n", + "df = pd.read_csv(datafile_path)\n", + "df[\"babbage_similarity\"] = df.babbage_similarity.apply(eval).apply(np.array)\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(\n", + " list(df.babbage_similarity.values), df.Score, test_size=0.2, random_state=42\n", + ")\n", + "\n", + "clf = RandomForestClassifier(n_estimators=100)\n", + "clf.fit(X_train, y_train)\n", + "preds = clf.predict(X_test)\n", + "probas = clf.predict_proba(X_test)\n", + "\n", + "report = classification_report(y_test, preds)\n", + "print(report)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see that the model has learnt to distinguish between the categories decently. 5-star reviews show the best performance overall, and this is not too surprising, since they are the most common in the dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RandomForestClassifier() - Average precision score over all classes: 0.91\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from openai.embeddings_utils import plot_multiclass_precision_recall\n", + "\n", + "plot_multiclass_precision_recall(probas, y_test, [1, 2, 3, 4, 5], clf)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Unsurprisingly 5-star and 1-star reviews seem to be easier to predict. Perhaps with more data, the nuances between 2-4 stars could be better predicted, but there's also probably more subjectivity in how people use the inbetween scores." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.9 ('openai')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 7dfdb9aa050f326e4137950298f1a7c522792dac Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 16:56:47 -0700 Subject: [PATCH 06/15] lint --- examples/Get_embeddings.ipynb | 32 ++++++++++++++++++++------------ 1 file changed, 20 insertions(+), 12 deletions(-) diff --git a/examples/Get_embeddings.ipynb b/examples/Get_embeddings.ipynb index e1b17327..aff14cfd 100644 --- a/examples/Get_embeddings.ipynb +++ b/examples/Get_embeddings.ipynb @@ -28,8 +28,11 @@ "source": [ "import openai\n", "\n", - "embedding = openai.Embedding.create(input=\"Sample document text goes here\", engine=\"text-similarity-davinci-001\")['data'][0]['embedding']\n", - "len(embedding)" + "embedding = openai.Embedding.create(\n", + " input=\"Sample document text goes here\",\n", + " engine=\"text-similarity-davinci-001\"\n", + ")[\"data\"][0][\"embedding\"]\n", + "len(embedding)\n" ] }, { @@ -49,21 +52,23 @@ "import openai\n", "from tenacity import retry, wait_random_exponential, stop_after_attempt\n", "\n", + "\n", "@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))\n", - "def get_embedding(text: str, engine=\"text-similarity-davinci-001\") -> List[float]:\n", + "def get_embedding(text: str, engine=\"text-similarity-davinci-001\") -> list[float]:\n", "\n", " # replace newlines, which can negatively affect performance.\n", " text = text.replace(\"\\n\", \" \")\n", "\n", " return openai.Embedding.create(input=[text], engine=engine)[\"data\"][0][\"embedding\"]\n", "\n", + "\n", "embedding = get_embedding(\"Sample query text goes here\", engine=\"text-search-ada-query-001\")\n", - "print(len(embedding))" + "print(len(embedding))\n" ] }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -76,16 +81,14 @@ ], "source": [ "embedding = get_embedding(\"Sample document text goes here\", engine=\"text-search-ada-doc-001\")\n", - "print(len(embedding))" + "print(len(embedding))\n" ] } ], "metadata": { - "interpreter": { - "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8" - }, "kernelspec": { - "display_name": "Python 3.7.3 64-bit ('base': conda)", + "display_name": "Python 3.9.9 ('openai')", + "language": "python", "name": "python3" }, "language_info": { @@ -98,9 +101,14 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.9.9" }, - "orig_nbformat": 4 + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } }, "nbformat": 4, "nbformat_minor": 2 From 6eae26d5cce56e4aa8804465ba5a2c0fc3ce3e60 Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 16:58:45 -0700 Subject: [PATCH 07/15] adds link to full dataset from AG --- .../Recommendation_using_embeddings.ipynb | 23998 ++++++++-------- 1 file changed, 11999 insertions(+), 11999 deletions(-) diff --git a/examples/Recommendation_using_embeddings.ipynb b/examples/Recommendation_using_embeddings.ipynb index 9a2cce82..5dca562a 100644 --- a/examples/Recommendation_using_embeddings.ipynb +++ b/examples/Recommendation_using_embeddings.ipynb @@ -150,7 +150,7 @@ } ], "source": [ - "# load data\n", + "# load data (full dataset available at http://groups.di.unipi.it/~gulli/AG_corpus_of_news_articles.html)\n", "dataset_path = \"https://cdn.openai.com/API/examples/data/AG_news_samples.csv\"\n", "df = pd.read_csv(dataset_path)\n", "\n", @@ -2080,1049 +2080,1049 @@ "showlegend": true, "type": "scattergl", "x": [ - 9.787297, - 17.206654, - 28.167477, - 14.671119, - 21.907679, - 11.003371, - 12.786125, - 28.192938, - 27.511831, - 31.907536, - 27.685726, - -0.48236108, - 24.631432, - 19.87161, - 42.217842, - 23.463217, - 15.450646, - 22.48473, - 47.958393, - 7.788443, - 26.455547, - -4.8219795, - 3.2403526, - 0.8158772, - 7.324227, - 24.88585, - 38.79396, - 13.661437, - 30.355759, - 3.1252713, - -17.98721, - 18.820461, - 13.827141, - 1.4320391, - 12.191131, - -2.3659778, - 25.89013, - -1.0874362, - 15.950565, - 11.055151, - 14.368044, - 15.940281, - 28.371725, - 17.925577, - 15.851762, - 1.6593695, - 18.05479, - 28.471008, - 10.705277, - 18.345266, - 31.360231, - 50.538635, - 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-12.8860235, + -22.75274, + -3.0125473, + 21.620535 ], "yaxis": "y" }, @@ -32491,19 +32491,19 @@ "showlegend": true, "type": "scattergl", "x": [ - -50.323666, - -50.141148, - -38.19549, - -50.138874, - -50.261745 + -50.753693, + -50.707508, + -38.18538, + -50.59903, + -50.56753 ], "xaxis": "x", "y": [ - -10.1600275, - -11.487356, - -10.464009, - -9.688497, - -10.61583 + -8.265735, + -9.550718, + -10.209975, + -7.7679462, + -8.693716 ], "yaxis": "y" }, @@ -32525,11 +32525,11 @@ "showlegend": true, "type": "scattergl", "x": [ - -50.70537 + -51.134373 ], "xaxis": "x", "y": [ - -10.254759 + -8.378269 ], "yaxis": "y" } From 350b9a73338bc73903769229a0313f18dc4d84b4 Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 17:02:00 -0700 Subject: [PATCH 08/15] adds data download from CDN with precomputed embeddings --- examples/Regression_using_embeddings.ipynb | 37 ++++++++++++---------- 1 file changed, 21 insertions(+), 16 deletions(-) diff --git a/examples/Regression_using_embeddings.ipynb b/examples/Regression_using_embeddings.ipynb index cf99894a..abaaad6b 100644 --- a/examples/Regression_using_embeddings.ipynb +++ b/examples/Regression_using_embeddings.ipynb @@ -13,14 +13,14 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Babbage similarity embedding performance on 1k Amazon reviews: mse=0.38, mae=0.39\n" + "Babbage similarity embedding performance on 1k Amazon reviews: mse=0.39, mae=0.38\n" ] } ], @@ -32,39 +32,41 @@ "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import mean_squared_error, mean_absolute_error\n", "\n", - "df = pd.read_csv('output/embedded_1k_reviews.csv')\n", - "df['babbage_similarity'] = df.babbage_similarity.apply(eval).apply(np.array)\n", + "datafile_path = \"https://cdn.openai.com/API/examples/data/fine_food_reviews_with_embeddings_1k.csv\" # for your convenience, we precomputed the embeddings\n", + "df = pd.read_csv(datafile_path)\n", + "df[\"babbage_similarity\"] = df.babbage_similarity.apply(eval).apply(np.array)\n", "\n", - "X_train, X_test, y_train, y_test = train_test_split(list(df.babbage_similarity.values), df.Score, test_size = 0.2, random_state=42)\n", + "X_train, X_test, y_train, y_test = train_test_split(list(df.babbage_similarity.values), df.Score, test_size=0.2, random_state=42)\n", "\n", "rfr = RandomForestRegressor(n_estimators=100)\n", "rfr.fit(X_train, y_train)\n", "preds = rfr.predict(X_test)\n", "\n", - "\n", "mse = mean_squared_error(y_test, preds)\n", "mae = mean_absolute_error(y_test, preds)\n", "\n", - "print(f\"Babbage similarity embedding performance on 1k Amazon reviews: mse={mse:.2f}, mae={mae:.2f}\")" + "print(f\"Babbage similarity embedding performance on 1k Amazon reviews: mse={mse:.2f}, mae={mae:.2f}\")\n" ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Dummy mean prediction performance on Amazon reviews: mse=1.77, mae=1.04\n" + "Dummy mean prediction performance on Amazon reviews: mse=1.81, mae=1.08\n" ] } ], "source": [ "bmse = mean_squared_error(y_test, np.repeat(y_test.mean(), len(y_test)))\n", "bmae = mean_absolute_error(y_test, np.repeat(y_test.mean(), len(y_test)))\n", - "print(f\"Dummy mean prediction performance on Amazon reviews: mse={bmse:.2f}, mae={bmae:.2f}\")" + "print(\n", + " f\"Dummy mean prediction performance on Amazon reviews: mse={bmse:.2f}, mae={bmae:.2f}\"\n", + ")\n" ] }, { @@ -83,11 +85,9 @@ } ], "metadata": { - "interpreter": { - "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8" - }, "kernelspec": { - "display_name": "Python 3.7.3 64-bit ('base': conda)", + "display_name": "Python 3.9.9 ('openai')", + "language": "python", "name": "python3" }, "language_info": { @@ -100,9 +100,14 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.9.9" }, - "orig_nbformat": 4 + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } }, "nbformat": 4, "nbformat_minor": 2 From bd061ad2d4a4ff8312b336d8d5ae0acb0d11674f Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 17:04:05 -0700 Subject: [PATCH 09/15] adds data download from CDN with precomputed embeddings --- ...emantic_text_search_using_embeddings.ipynb | 61 +++++++++++-------- 1 file changed, 37 insertions(+), 24 deletions(-) diff --git a/examples/Semantic_text_search_using_embeddings.ipynb b/examples/Semantic_text_search_using_embeddings.ipynb index 259355a9..345c7743 100644 --- a/examples/Semantic_text_search_using_embeddings.ipynb +++ b/examples/Semantic_text_search_using_embeddings.ipynb @@ -18,9 +18,9 @@ "import pandas as pd\n", "import numpy as np\n", "\n", - "\n", - "df = pd.read_csv('output/embedded_1k_reviews.csv')\n", - "df['babbage_search'] = df.babbage_search.apply(eval).apply(np.array)" + "datafile_path = \"https://cdn.openai.com/API/examples/data/fine_food_reviews_with_embeddings_1k.csv\" # for your convenience, we precomputed the embeddings\n", + "df = pd.read_csv(datafile_path)\n", + "df[\"babbage_search\"] = df.babbage_search.apply(eval).apply(np.array)\n" ] }, { @@ -39,11 +39,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "Jamaican Blue beans: Excellent coffee bean for roasting. Our family just purchased another 5 pounds for more roasting. Plenty of flavor and mild on acidity when roasted to a dark brown bean and befor\n", + "Fantastic Instant Refried beans: Fantastic Instant Refried Beans have been a staple for my family now for nearly 20 years. All 7 of us love it and my grown kids are passing on the tradition.\n", "\n", - "Good Buy: I liked the beans. They were vacuum sealed, plump and moist. Would recommend them for any use. I personally split and stuck them in some vodka to make vanilla extract. Yum!\n", + "Jamaican Blue beans: Excellent coffee bean for roasting. Our family just purchased another 5 pounds for more roasting. Plenty of flavor and mild on acidity when roasted to a dark brown bean and befor\n", "\n", - "Fantastic Instant Refried beans: Fantastic Instant Refried Beans have been a staple for my family now for nearly 20 years. All 7 of us love it and my grown kids are passing on the tradition.\n", + "Delicious!: I enjoy this white beans seasoning, it gives a rich flavor to the beans I just love it, my mother in law didn't know about this Zatarain's brand and now she is traying different seasoning\n", "\n" ] } @@ -53,16 +53,26 @@ "\n", "# search through the reviews for a specific product\n", "def search_reviews(df, product_description, n=3, pprint=True):\n", - " embedding = get_embedding(product_description, engine='text-search-babbage-query-001')\n", - " df['similarities'] = df.babbage_search.apply(lambda x: cosine_similarity(x, embedding))\n", + " embedding = get_embedding(\n", + " product_description,\n", + " engine=\"text-search-babbage-query-001\"\n", + " )\n", + " df[\"similarities\"] = df.babbage_search.apply(lambda x: cosine_similarity(x, embedding))\n", "\n", - " res = df.sort_values('similarities', ascending=False).head(n).combined.str.replace('Title: ','').str.replace('; Content:', ': ')\n", + " res = (\n", + " df.sort_values(\"similarities\", ascending=False)\n", + " .head(n)\n", + " .combined.str.replace(\"Title: \", \"\")\n", + " .str.replace(\"; Content:\", \": \")\n", + " )\n", " if pprint:\n", " for r in res:\n", " print(r[:200])\n", " print()\n", " return res\n", - "res = search_reviews(df, 'delicious beans', n=3)\n" + "\n", + "\n", + "res = search_reviews(df, \"delicious beans\", n=3)\n" ] }, { @@ -74,17 +84,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "Rustichella ROCKS!: Anything this company makes is worthwhile eating! My favorite is their Trenne.
Their whole wheat pasta is the best I have ever had.\n", - "\n", "sooo good: tastes so good. Worth the money. My boyfriend hates wheat pasta and LOVES this. cooks fast tastes great.I love this brand and started buying more of their pastas. Bulk is best.\n", "\n", - "Wonderful: Came quickly. Was plentiful and delicious and cheaper than in the store. You will enjoy it if you like thick pasta.\n", + "Tasty and Quick Pasta: Barilla Whole Grain Fusilli with Vegetable Marinara is tasty and has an excellent chunky vegetable marinara. I just wish there was more of it. If you aren't starving or on a \n", + "\n", + "Rustichella ROCKS!: Anything this company makes is worthwhile eating! My favorite is their Trenne.
Their whole wheat pasta is the best I have ever had.\n", "\n" ] } ], "source": [ - "res = search_reviews(df, 'whole wheat pasta', n=3)" + "res = search_reviews(df, \"whole wheat pasta\", n=3)\n" ] }, { @@ -109,7 +119,7 @@ } ], "source": [ - "res = search_reviews(df, 'bad delivery', n=1)" + "res = search_reviews(df, \"bad delivery\", n=1)\n" ] }, { @@ -134,7 +144,7 @@ } ], "source": [ - "res = search_reviews(df, 'spoilt', n=1)" + "res = search_reviews(df, \"spoilt\", n=1)\n" ] }, { @@ -148,22 +158,20 @@ "text": [ "Good food: The only dry food my queen cat will eat. Helps prevent hair balls. Good packaging. Arrives promptly. Recommended by a friend who sells pet food.\n", "\n", - "A great deal on Greenies: Paid only $22 with free shipping for 96 teenies compared to about $35 at the pet store. How can you go wrong with a deal like that? The dog begs for his daily Greenie. Got \n", + "Good product: I like that this is a better product for my pets but really for the price of it I couldn't afford to buy this all the time. My cat isn't very picky usually and she ate this, we usually \n", "\n" ] } ], "source": [ - "res = search_reviews(df, 'pet food', n=2)" + "res = search_reviews(df, \"pet food\", n=2)\n" ] } ], "metadata": { - "interpreter": { - "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8" - }, "kernelspec": { - "display_name": "Python 3.7.3 64-bit ('base': conda)", + "display_name": "Python 3.9.9 ('openai')", + "language": "python", "name": "python3" }, "language_info": { @@ -176,9 +184,14 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.9.9" }, - "orig_nbformat": 4 + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } }, "nbformat": 4, "nbformat_minor": 2 From 04f7e93c628b179ca8adf1e3148de21a8aa799fd Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 17:06:41 -0700 Subject: [PATCH 10/15] adds warning about needing to compute file with embeddings --- examples/User_and_product_embeddings.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/User_and_product_embeddings.ipynb b/examples/User_and_product_embeddings.ipynb index 9dacfb82..565ccd28 100644 --- a/examples/User_and_product_embeddings.ipynb +++ b/examples/User_and_product_embeddings.ipynb @@ -39,7 +39,7 @@ "import numpy as np\n", "from sklearn.model_selection import train_test_split\n", "\n", - "df = pd.read_csv('output/embedded_babbage_similarity_50k.csv', index_col=0)\n", + "df = pd.read_csv('output/embedded_babbage_similarity_50k.csv', index_col=0) # note that you will need to generate this file to run the code below\n", "df['babbage_similarity'] = df.babbage_similarity.apply(eval).apply(np.array)\n", "X_train, X_test, y_train, y_test = train_test_split(df, df.Score, test_size = 0.2, random_state=42)\n", "\n", From efa71942c64afd576df85f4d86b032eb8eeb4607 Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 17:12:07 -0700 Subject: [PATCH 11/15] moves dbpedia embeddings to data folder --- examples/Visualizing_embeddings_in_3D.ipynb | 27 +++++++++------------ examples/{ => data}/dbpedia_samples.jsonl | 0 2 files changed, 12 insertions(+), 15 deletions(-) rename examples/{ => data}/dbpedia_samples.jsonl (100%) diff --git a/examples/Visualizing_embeddings_in_3D.ipynb b/examples/Visualizing_embeddings_in_3D.ipynb index ebbfdf63..377409e0 100644 --- a/examples/Visualizing_embeddings_in_3D.ipynb +++ b/examples/Visualizing_embeddings_in_3D.ipynb @@ -5,7 +5,7 @@ "id": "983ef639-fbf4-4912-b593-9cf08aeb11cd", "metadata": {}, "source": [ - "# Visualizing the embeddings in 3D" + "# Visualizing embeddings in 3D" ] }, { @@ -122,7 +122,7 @@ ], "source": [ "import pandas as pd\n", - "samples = pd.read_json(\"dbpedia_samples.jsonl\", lines=True)\n", + "samples = pd.read_json(\"data/dbpedia_samples.jsonl\", lines=True)\n", "categories = sorted(samples[\"category\"].unique())\n", "print(\"Categories of DBpedia samples:\", samples[\"category\"].value_counts())\n", "samples.head()" @@ -178,7 +178,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 4, @@ -188,18 +188,18 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "864488447fdd46b4ae1f338d3b0afded", + "model_id": "d15cdcc507224a81a18a0c1f18292590", "version_major": 2, "version_minor": 0 }, - "image/png": 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mNBq1/x/72zPaeMmBj489Z7iPxY6xf/9+rrvuOr7xjW9wxRVX4HA4ePzxx3nggQcm/uKEiDMJ6EIIIcQwYo3gIpEIMPKS9u7uboqLi7HZbGzdupWkpKQJnzMW2AHWrl1LNBqlu7sbt9tNQ0MDx44dIykpaVBgn8j5Bq4A0Ov1qKpKW1sbRqOR5OTkQRX2WEM6g8Ew4RFyQoiZwWDQEQhHzvi4Ahj1ifndDofDPProozzwwANcfvnlgz63Y8cOHnvsMZYsWZKQcw+1b98+5s6dy1133aV97NSpU1NybiHGSgK6EEIIMUSsaj7a+DRVVamtreXEiRMsXLiQ/Pz8uITX2DFUVUWv15OamkpqairQ/0Y3Ftjr6+spLy/HarVqYd3pdGIymSZ0ztg/RqNxUIXd7/drj4kF9liFXQK7EOeWuRkWyus9Z3xcBfLSLQk55zPPPIPb7eYzn/mMdgMyZufOnezevZvvf//7CTn3UAUFBdTV1fH444+zYcMGnn32WW3ZvRAzhQR0IYQQ4h2qqhKJRAiHw6MuaQ8EApSWluL1etmwYQNOp3NKrs9gMJCWlqbNAg6FQnR1deF2u6mtrcXj8WCz2QYF9qHLPcdiuAr7cIF96Jx2CexCzGwLc6y0dQdp6wmiKIDaH84Lcq1kOMZ/c28sdu/ezWWXXXZGOIf+gH7fffdx5MiRhJx7qH/6p3/iC1/4ArfeeiuBQIArr7ySr3/969xzzz1Tcn4hxkJRZUiqEEIIccaS9uEawQF0dHRw5MgRXC4Xy5cvHzUAx46pquqYg2soFOLVV1/lkksuGTRGbSxie8ndbjdutxufz4fdbte6xDudTgyG4e/NHzt2DKPRyIIFC856noGBPba3U6fTndF0TgK7EPHj9/upqalh3rx5E+pFEaOqKi1dQVq6A+gVhVlpZlzJ47+RJ8RMF6/fmakmFXQhhBAXvEgkQmNjI36/n7y8vGFDZTQapbq6mtraWpYsWcLs2bPHHD7HE9Anw2QykZmZSWZmJtBf6Xe73XR1dVFVVYXf78dut2sVdofDMe6bADByhT0ajRIIBPD7/RLYhZihFEUh25VEtmvi/TKEEIkjAV0IIcQFa+Bs856eHjwez7DjfPr6+igpKSEcDrN582bsdnvCrmngHvTJSkpKIjs7m+zsbKC/mhCrrldUVBAMBklJScHlchEIBEasro/lmgcG71hgj0QiRCKREZvOjbRKQQghhLhQSUAXQghxQYpGo4TDYW1J+0iV5JaWFo4ePUpWVhZLly6dUMV5pjCbzeTk5JCTk6PtJ48FdrfbTWdnJ729vdqS+JSUlEEzhscqFrxjzx0Y2MPhsPb5oXvYJbALIYS40ElAF0IIcUEZONs8tvQ89s/AqnUkEqGyspLGxkaWL19OTk7OlFxfPCvoZzuPxWLBYrGQm5tLRUUFiqKQnJxMV1cXp0+fJhqN4nA4tCXxycnJcQ3s4XCYEydOYDKZmDVr1rBN54QQQogLiQR0IYQQF4yBS9ph8NJsnU6nNTzzeDyUlJSg0+koKirCarVO2zVPldiItdmzZzN79mxUVcXr9WrV9VOnTqGqqlZdjwX2iVS8Bwb2UCik7U0Ph8OEQqFBFfbYkngJ7EIIIS4EEtCFEEJcEM422zxWQW9oaKC8vJw5c+ZQUFAw5aFwqiroY7mO5ORkkpOTycvLQ1VVPB6PFthrampQFGXQSDebzTbuwB5bxRBrKhf7WOxmSigUAjij4ZwEdiGEEOcjCehCCCHOa2OdbR6NRunp6aGnp4fCwkIyMjKm4WrfNd0BfShFUbDb7djtdubMmUM0GqW3txe3201bWxsnTpxAr9drgd3lcmGxWMYU2Ie7WTLckvhQKEQwGNQ+L4FdCCHE+UYCuhBCiPPW0NnmI4Xz7u5uqquriUajXHTRRXGblzrR5d/nAp1Oh8PhwOFwkJ+fr93gcLvdtLS0UFVVhdFoHLQk3mKxnHGcsdyIGC6wx1ZExCrsQwN7rEu8EEIIcS6RgC6EEOK8FI1GCQaDo1bNVVXl1KlTVFVVkZGRQV9fX9zCecxEQ+JMq6CfjU6nw+l04nQ6mTdvHpFIhO7ubrq6umhqaqKyspKkpKRBFfakpP45zOP9GsX2p8cMDOzDVdgHdokXQgghZjIJ6EIIIc4rsSXtsS7tI4XzYDBIaWkpvb29rF+/nkAgQE1NzTRc8WDnS4jU6/WkpqaSmpoKQDgcpru7G7fbTX19PeXl5VgsFu1GRDAYxGQyTehcYwnsOp3ujKZz58vXWogLjaIoPPnkk+zYsWO6L0WIuJPNWkIIIc4bsSXtAxuLDRfCOjs7ef3117Uu7S6X64wxa9NpJl1LvBgMBtLS0li4cCEbNmzg4osvpqCgAEVRcLvdvPbaaxw4cIDjx4/T2tqqfQ8nYuCM9Vggj/1seL1eent76erqorOzk0AgQDgcPu++3kLMRPv370ev13PllVeO6fH33HMPhYWFZ3y8qamJD3zgA2M6hqIoPPXUU+O4SiGml1TQhRBCnPNGmm0+3OOqq6upqalh8eLF5OXlaY9TFEUbsyYSz2AwkJ6eTlNTEw6Hg5ycHNxuN11dXdTU1HD06FGSk5MHdYk3GCb2tmVghT0WxHt6eigpKWHLli1ahX1o0zmpsAsRX7t37+a2225j9+7dNDY2kpubO+zjYiuhRpKdnZ2oSxRi2kkFXQghxDktNo4rGAyOGs79fj8HDx6kqamJTZs2MWfOnEGP0+l0CamiTrRR3IVU0Y3NYM/MzGTRokVs2rSJiy66iLlz5xKJRDhx4gSvvPIKhw4d4sSJE3R0dGiz7CdyroH/xAK5qqoEg0Gtwt7T04PX65UKuzh/hfwQmfhKlfHyeDw88cQT3HzzzVx55ZXs2bNH+9xLL72Eoij89a9/Zd26dSQlJfGb3/yGb3zjG5SUlGi/r7HnDKyKB4NBbr31VnJycjCbzcydO5fvfOc7AOTn5wNw9dVXoyiK9u9CzGRSQRdCCHHOilXNY5XvkcZstba2UlpaSmZmJuvWrRu2EpuoUCzBbnQjfX1MJhNZWVlkZWUBEAgEtBnslZWVBAIBUlJStC7xDodj0D70sZx34M2coRX2aDRKIBAgGAwCw89hlwq7OCfVHYAXvg71B0DRw5IPwRX3gjMvoaf9/e9/z5IlS1i8eDHXX389t99+O3feeeeg36OvfvWr3H///cyfPx+z2cwXv/hFnnvuOf7+978D4HA4zjjuQw89xNNPP83vf/975syZQ319PfX19QAcOnSIzMxMfvnLX7J9+/Zx/Y0QYrpIQBdCCHHOGbik/WyzzSsrKzl9+jTLly8fcTklzKyq9Uy6lqkwlqCblJREdna2trS1r69PC+wVFRWEQiFSUlK0JfEpKSmjzkWPBfSRriUWwmMz2FVVJRAIEAgEtCXxsf3tBoNhxJ9BIWaUxmL41Ycg+s4KFDUCx56B04fglv1gcSbs1Lt37+b6668HYPv27XR3d/Pyyy+zbds27THf/OY3ef/736/9e3JyMgaDYdQl7XV1dRQUFHDRRRehKApz587VPpeRkQGA0+mUZfHinCEBXQghxDllrLPNvV4vJSUlABQVFWGz2UY97oUWimeKiX7NLRYLFouF3NxcVFUdFNhPnz5NJBLB4XBogd1utw8K7CMF9KGGVtkHBna/3689JhbYYxV2CexiRnr1AYhGQB3Qb0ONQG8THP4NFN2akNNWVlZy8OBBnnzySaC/B8WuXbvYvXv3oIC+fv36cR/7hhtu4P3vfz+LFy9m+/btfOhDH+Lyyy+P16ULMeUkoAshhDhnRKNRurq6qKioYN26dSMGoMbGRsrKypg9ezaLFy8etZIao9PpZkyTuAvtZsFkg6yiKFitVqxWK7NmzUJVVXw+nxbY6+rqUFVVWw7vdDq1lRcTOddYAnussi6BXcwop/b1B/Lh1B8AEhPQd+/eTTgcHrSKSVVVkpKSePjhh7WPne1G6nDWrl1LTU0Nf/3rX/n73//ORz/6US677DL++Mc/xuXahZhqEtCFEELMeANnm4fDYbq6uoYNO+FwmIqKClpbW1m9ejWZmZljPseFFopnikQ15rPZbNhsNmbPno2qqng8nkFd4mPq6+txuVzYbLYJN/QbLrBHo1EJ7GLmsaaCr/3Mj+v0/Z9LgHA4zKOPPsoDDzxwRmV7x44dPPbYYyxZsmTY55pMplG7ucekpKSwa9cudu3axUc+8hG2b99OZ2cnqampGI3GMR1DiJlCAroQQogZbeiSdr1eP2ylOzY2y2QysXXrVsxm87jOM5MC+ky6lqmQ6KCqKAp2ux273c6cOXOIRqOcPn2auro6Ojo6OHnyJDqdTquwu1wurFZr3AN7IBDA7/cTDocJBAKkpaVJYBdTa+0n4W9fB4b8fYmGYfW1CTnlM888g9vt5jOf+cwZTd527tzJ7t27+f73vz/sc/Pz86mpqaG4uJjZs2djt9tJSkoa9Jgf/OAH5OTksGbNGnQ6HX/4wx/Izs7G6XRqx9i7dy9bt24lKSkJl8uVkNcpRLzImDUhhBAzViQS0cZcxfb5Dh2HpqoqdXV1HDhwgJycHDZu3DjucA6JCcWqqtLU1ERjYyN9fX1xPfb5YjpuROh0OiwWC0lJSRQWFvKe97yHVatWkZycTFtbG4cOHeL111+nrKyMxsZGfD7fhK8z9nM7sILe09PD8ePHCQQC2li33t5efD4fwWCQSCRyQd2gEVNo07/Bkg/2/3+dob+LO8D7vg5zNiXklLt37+ayyy4btgP7zp07efPNNzly5Miwz925cyfbt2/nve99LxkZGTz22GNnPMZut3Pfffexfv16NmzYQG1tLX/5y1+0LSwPPPAAL7zwAnl5eaxZsya+L06IBJAKuhBCiBknNts8Nut6YHUxFtBjjzl69ChdXV2sW7eO1NSJL9GM9x70UCikXZvZbKaqqkqr3rhcLlJTUzGZTMM+VyroiTewSZxOp8PhcGgBIhKJ0NPTg9vtpqmpicrKSkwmk/a9c7lcE7oJBIO7xBsMBu1nORKJaDeihlsSP7AyL8SE6Y2w67dQtx9O7AWDGZbvgPSChJ3y//7v/0b83MaNG7W/dZ///OfP+HxSUtKwe8kH/n286aabuOmmm0Y8x1VXXcVVV101nksWYlpJQBdCCDGjDJ1tPjSYxKoinZ2dlJaWYrfb2bp164hhd6ziGYq7u7spLi7GZrOxadMm7aZCV1eX1rSsvLwcm82mhXWn0zloPvuFEtCn63WO1sVdr9drQRz6A3t3dzdut5uGhgaOHTuG2WwetCR+6LLb0USjUe3csZ/v2M/1wJtPoVBIAruIP0WBuUX9/wghZhwJ6EIIIWaEsc42j3nrrbdYtGgRc+fOjUtQiR1jrOO3hqOqKvX19VRWVjJ//nzmz5+vVUb1ej1paWmkpaUB/RX2WJfxqqoq/H4/drsdl8ulfS0uFNNdQT8bvV5PamqqtkIj1qiwq6uL+vp6ysvLsVqtWlh3Op2j3jBSVXXEDvLjCeyxOeyxPexCCCHOfRLQhRBCTLuxzjYPBALabPO1a9eSnp4et2uYbECPLbd3u92sXbtWC+IjHctoNJKZmal1mvf7/bjdbjo7OwmFQhQXF+N0OklNTdXmeJ+PFdOZWEE/G4PBQHp6uvbzFwqFtNURNTU1eL1ebXVELLAbjUbt+eMZ8Xa2wA79vy8Dq+sS2IUQ4twlAV0IIcS0ilXNI5HIqFXztrY2SktLteCbnJwc1+uIBZqJzMfu6emhuLgYi8VCUVHRuJY7x5jNZnJycsjJyaGrq4v58+cTDodxu92cOnUKYNAe6Il2GZ+JZnoF/WyMRiMZGRlkZGQAEAwGtcBeXV2Nz+fTVkc4nU5tr/lEjBTYQ6EQwWAQkMAuhBDnMgnoQgghpsXAxlijLWmPRqNUVVVRV1fHsmXLyM3NpampKe6V14EV9LFSVZXTp09z7Ngx5s2bx4IFC+K23N5sNuNyucjLyyMajeLxeOjs7KStrY0TJ05gMBi06vpkmpZNt3gG5ZlyXpPJNGh1RCAQGLSdoa+vD6PRSHV1NS6XC4fDgV6vn9C5hgvssZtesQq7oigS2IUQ4hwhAV0IIcSUG+uSdp/PR0lJCdFolC1btmhV83h3XIfxB/RwOEx5eTnt7e2DlrQPFatwTuRaYnQ6HSkpKaSkpJCfnz9s0zKLxTKowj5wSbU401TeGEhKSiI7O5vs7GwAqqqq6OnpIRAIUFFRQTAYJCUlRfveORyOCQfo2P70mOECe3t7OxkZGZjNZq353PmyGkMIIc51EtCFEEJMqUgkMqZGcM3NzRw9epTc3FwWL148KHRMd0Dv7e2luLgYk8lEUVFR3KvXZ+soP7Rp2dA90EePHtWWVMeWVU+0Qpto52MF/Wz0ej02m40lS5agqip9fX3a96+xsZFwOIzD4dB6ENjt9rgF9mg0Snl5ORs3btS6ycfmtA9sOieBXQghpocEdCGEEFNi4GzzWBfr4UJAJBKhoqKClpYWVq5cSVZW1hmPScSc8Ni1nC34nz59moqKCubOncvChQtnxFLhoXugBy6pPnbsGMFgEIfDoY10m0zgO18MHHU2HeeOff0VRcFqtWK1WsnNzUVVVXw+n/b9O336NNFoVPv+xathoMlkwmg0DqqwB4NBLbAPXRIvgV0IIaaGBHQhhBAJF41GCYfDZ13S3tvbS0lJCQaDgaKiIiwWy7DHS1QFfbTgH4lEKC8vp7W1lcLCQi0MJ8Jkb0AMXFIdq9AODXyxGd6pqanYbLY4Xv34XIgV9NFuDiiKgs1mw2azMXv2bFRVxev1at+/U6dOoaqqtjLC5XKRnJw85tcy8Hcwdr5YhT32MxeNRgkGgwQCAQnsQggxxSSgCyGESJiB1blYIBrujf3AZmtjqUwnIqDDyMHY4/FQXFyM0Whk69at51RDtoEV2lmzZqGqKh6PRwt8NTU12hJnq9VKX1/fiDdGzifTGdBVVR3zlgNFUUhOTiY5OZm8vDxUVaW3t3fQlgZFUcbc4T/2ezPc71fsORLYxUyhKApPPvkkO3bsGPbzL730Eu9973txu904nc4pvTYhEkUCuhBCiIQYuKQdGDGch0IhysrKzpgfPppELHEf6biNjY2UlZUxZ84cCgoKpmRpeKJeX+zYdrsdu93OnDlziEaj9PT0cPz4cbxeL2+88QZJSUladd3lcmEymRJyLSAV9PFSFEVrGBj7/vX29uJ2uwd1+I9V110uFxaLZdAWjoFd3892Lhg+sAcCgVHHuklgF8PZv38/F110Edu3b+fZZ5/VPn7PPffw1FNPUVxcnPBryM/P5/bbb+f2229P+LmEmAgJ6EIIIeIuGo3S0tJCNBolLS1txDfrXV1dlJSUYLPZxjU/PFEV9IHHHbgXfvXq1drIrPONTqfD6XSSkpKC0Whk7ty5dHd309nZyalTpygrK8Nms2lh3el0YjCc+28fYn0QzvVz63Q6HA4HDoeD/Px87YaL2+2mpaWF48ePYzKZtMBuNpsn1XAO0EJ4bEKBqqpnBPZYwzmDwTBqM0hxYdm9eze33XYbu3fvprGxkdzc3Om+JCFmnAu7Q4wQQoi4ilXNg8Egzc3NtLW1jbikvaamhkOHDjFnzhzWrVs35nAOiV/iHqsk9/b2UlRUNKlwPpFgksgK+tkYDAbS0tIoKChg48aNXHTRRcybN49IJEJVVRWvvvoqb775JidPnsTtdk/6+3ChVtATdXMgdsNl3rx5rF27losvvpilS5diNptpamqipKREu/nU3NxMIBCY8LmG6wCv0+lQVRW/34/X66Wnp4eenh58Ph/BYJBIJDJtP9viXaqq0tHXQW+wd8rO6fF4eOKJJ7j55pu58sor2bNnDwB79uzhG9/4BiUlJdpKq9jnoH8s4NVXX43VaqWgoICnn3561PO89tprvOc978FisZCXl8fnP/95vF4vANu2bePUqVN84QtfOGNV12jPE2IqSUAXQggRF7HZ5rH95nq9ftjwFggEeOutt6irq2PDhg3Mmzdv3EEpkUvc29vb2b9/P2lpaWzatOmC2I89GpPJRGZmJkuWLGHLli1s3ryZ3Nxc+vr6KCsr45VXXqG4uJhTp07R09NzzoSv6Q7oU3Xu2Ei+BQsWsG7dOlavXo3RaMRoNFJfX8/rr7/OG2+8wbFjx2hpadGq4BMxNLDHquexwO7xeLSVGRLYp8++xn3889P/zLbfb6PosSJu+ttN1HbXJvy8v//971myZAmLFy/m+uuv5xe/+AWqqrJr1y6++MUvsnz5cpqammhqamLXrl3a877xjW/w0Y9+lCNHjvDBD36Q6667js7OzmHPUV1dzfbt29m5cydHjhzhiSee4LXXXuPWW28F4E9/+hOzZ8/mm9/8pnausTxPiKl07q9RE0IIMe1iTaQGzjbX6/VnvNnv6OjgyJEjuFwuioqKMBqNEzpfIirokUiEcDjMyZMnWbVq1bDj3abKdFTQxxoYLRYLFotl0Eiwzs5O3G43tbW142pYBtNbQT8flrhPhMFgYOHChUB/D4ju7m6tQ3xsS0Ps++d0Oif8ezqwQhlbEu/1eikvLyclJUV7TGwpfGwPuyyJT5zi1mJu/vvNg/6+HGo+xCf/+kn+vOPPuMyuhJ179+7dXH/99QBs376d7u5uXn75ZbZt20ZycjIGg4Hs7OwznnfDDTfw8Y9/HIBvf/vbPPTQQxw8eJDt27ef8djvfOc7XHfdddr+8oKCAh566CEuueQSHnnkEVJTU9Hr9djt9kHnOtvzzqXGoOLcJwFdCCHEhKmqSiQS0armA99YDwzR0WiUEydOcOrUKZYsWcLs2bMn9QY83gHd5/NRXFyMqqqsWLEiruH8fA4aA0eC5eXlDduwzGg0amEvNTX1jK0M01U9vVAq6MOde+DNAaPRSHp6Ounp6UB/YI91+D958iRer5fk5ORBgX2iPQhiN55iFfbY/vVY0zm/349Opzuj6ZwE9vjZXbobBYUo7/79jKgRugJd/KnqT3xm5WcSct7KykoOHjzIk08+CfTfJNq1axe7d+9m27Ztoz531apV2v+32WykpKTQ2to67GNLSko4cuQIv/3tb7WPxX7GampqWLp0aVyfJ0QiSEAXQggxIbEl7SPNNo+F6L6+PkpKSgiHw2zevBm73T7pcyuKEreA3tzczNGjR8nNzSUcDie0Y/lYTece9MkY2rAsEolo1dmGhgYqKiqwWq2DKuwwPTcxpnvM2nRV0M+2/91oNJKZman1XQgEAtpIt6qqKvx+/xmBfawj46B/pUrs8UP3AMcCeyQSIRKJjDjWTQL7xJW0lRBRI8N+rqyjLGHn3b17N+FweFBTOFVVSUpK4uGHHx71uUNXcIz299/j8fCv//qvfP7znz/jc3PmzBnxHBN9nhCJIAFdCCHEuIx1trlOp6Ovr499+/aRnZ3NkiVLxvVGfjSxfa2TEY1GqayspKGhgRUrVpCdnc1rr72WsL3t43UuBvShYvufU1NTgf7qbCzsnTx5Ep/Ph6IoNDQ0EI1GcTgccfsZOZvprqDP1IA+VFJSEllZWdqqEr/fj9vtpquri8rKSgKBACkpKVpYP9v3MBqNjvj52N+S2PUNF9j7+vrYtWsXzzzzDA6HYxyvXACkWdLoCnShMvjvi07RkWpOTcg5w+Ewjz76KA888ACXX375oM/t2LGDxx57DJPJpN3snYy1a9dSXl6ubeEYznDnGsvzhJgqEtCFEEKM2Vhnm0ciEZqbm+nt7WX16tXD7iucjMkucff5fJSUlKCqKlu2bMFmswEzp3J9vlYHjUYjGRkZZGRkAP3V2QMHDhAOh6moqCAYDOJwOLTl8Ha7PWFBdroD+nSeezI3QcxmMzk5OeTk5ADQ19enLYlvbGwkHA5rgd3lcpGSkjLoeziwgn42wwV2j8fDa6+9NuF98Re6axZdw3cOfueMj0fUCFcvvDoh53zmmWdwu9185jOfOeOmys6dO9m9ezdf+MIXqKmpobi4mNmzZ2O328c12SPmK1/5Cps3b+bWW2/ls5/9LDabjfLycl544QWtUp+fn88rr7zCxz72MZKSkkhPTx/T84SYKhLQhRBCjEmsah4LxiMFJ4/Ho41yGtqIJ14mE6RbW1spLS0dtqofz6XzkzUTbhQkWlJSEjqdjvz8fFJSUrSw19nZSX19Paqq4nQ6tRnsNpstbsFWlrjHx9CmgQMD++nTp4lEItpNF5fLRTgcntQc9r6+PvR6/YTCm4Bdi3dR1lHG09VPo1N02u/Blzd8meXpyxNyzt27d3PZZZcNu+Jh586d3HfffSxfvpzt27fz3ve+l66uLn75y19yww03jPtcq1at4uWXX+auu+7iPe95D6qqsmDBgkFd4b/5zW/yr//6ryxYsIBAIICqqmN6nhBTRQK6EEKIUQ1c0j6wS/twj4vtM54zZw4pKSnU1NQk5JomUkGPRqMcP36c+vp6VqxYoVUAhx53JgTj87WCPpJYpdRqtWK1Wpk1a5ZWLXW73XR0dFBdXY1er9eq6y6Xa1Ij8C7kCnqibg4M9z30er3akvi6ujoikQhGo5G6ujpcLhfJycnj+lp4PB5sNtu0dsE/l+l1eu696F4+sewT7GvcR5I+iUvnXEq2Lf43UmP+7//+b8TPbdy4Ufub+8c//vGMzw/397irq0v7/9u2bTvjMRs2bOBvf/vbiOfcvHkzJSUlZ3z8bM8TYqpIQBdCCDGiszWCiwmHw5SVldHR0UFhYSEZGRm0trYmrBo93oA+sFHdli1bSE5OHvZxM2WJO1wYFXQY+XUqioLdbsdutzNnzhyi0Sg9PT10dnbS1NREZWUlSUlJWlh3uVzjavA33QF9ugJmJBKZsnMrikJycjLJycnk5eWhqiqVlZVap/+amhoURcHpdGrfw7OtkvB4PCP+/oqxW5K6hCWpS6b7MoQQw5CALoQQYlixqnnsDf1Ib5q7u7spKSnBYrGwdetWbempXq9PWEAfT5Bua2vjyJEjZGVlsXTp0lH3v86UgH4hVtDPRqfT4XQ6cTqdQP9NoVjDudj87vGMA5Ml7lNPURQMBgMOh4NFixYRjUZHXCURC+1Wq3XQ98nn82k9I4QQ4nwkAV0IIcQgo802H/q4U6dOUVVVxfz585k/f/6wY9YSYSzHjkajVFVVUVdXx/LlyweN9xnJTNmDPlNuFEyFib5Og8EwaH53MBjU9j7HxoENbFbmcDgGBdPprqCfq03iJmtgkzidTkdKSgopKSnMnTtXWyXhdrtpbW3lxIkTGAwGrdmcx+PB4/GcEdon48c//jHf//73aW5uZvXq1fzoRz9i48aNwz72T3/6E9/+9rc5ceIEoVCIgoICvvjFL/KJT3wiLtcihBAgAV0IIcQAY13SHgwGKS0tpbe3l/Xr12vzrAdKdEAPhUIjft7v91NSUkIoFBp1Sftwx71QgvFMEo+wZTKZBo0DG667eKwqm5qaSiQSuWAr6KOtLEi0SCQy4laEgask5s2bRyQS0QL7oUOH+OxnP4vT6cRisfCrX/2K973vfeTl5U34Wp544gnuuOMOfvrTn7Jp0yYefPBBrrjiCiorK7U58AOlpqZy1113sWTJEkwmE8888ww33ngjmZmZXHHFFRO+DiGEGEg6bAghhADQ5gyHw2FttNFwAaazs5PXX38dnU7H1q1bhw3nkNiAPlqFub29nX379mGxWNi8efO49qvOlMr1TLmOqZCo1xnrLL58+XK2bt3K+vXrSUtLo7u7m7fffpvu7m4aGho4ffo0Pp9vSr/e011Bn84Ga+Op4MeWu8+fP59//ud/pra2lo997GMYjUYeeeQR5s2bx8KFC3n55ZcndC0/+MEPuOmmm7jxxhtZtmwZP/3pT7FarfziF78Y9vHbtm3j6quvZunSpSxYsIB///d/Z9WqVbz22msTOr8QQgxHKuhCCHGBGzrbfKRgHo1Gqa6upra2lsWLF5OXlzdqyJjqJe6qqnLixAlqa2tZunQps2fPHvdxExGMu7q6aG1tHXaZteiX6LA6tFlZNBrl0KFDmM1mWltbqaqqwmQyacvhU1NTEzbGS1XVaa2gT2WTuHifPyUlhYyMDFavXs2f/vQnenp6ePXVVykoKBj3sYLBIG+99RZ33nmn9jGdTsdll13G/v37z/p8VVX5xz/+QWVlJd/73vfGfX4hhBiJBHQhhLiADZ1tHht3NVRsyXgwGGTz5s3Y7fazHjsWohOx13doQA8EApSUlBAIBMZ8fcOJZ0CP7dE/fvw4LpeLxsZGIpHImOZ6SwU9sXQ6HXq9nszMTLKysohEInR3d2uzuysqKrBarVpYdzqdGI3GuJw79novxCZxMHgP+kR4vV5tVUxKSgpXXnnlhI7T3t5OJBLRtkTEZGVlcezYsRGf193dzaxZswgEAuj1en7yk5/w/ve/f0LXIIQQw5GALoQQF6DYbPPa2lqMRiOZmZkjhujW1lZKS0vJzMxk3bp1Y96/GgsBiQjoAwNsR0cHJSUlpKWlsXbt2kntr41X1T8cDnP06FHcbjfr16/Xmlp5vV46Ozu1jtUGg4HU1FQtsCeqajvTTcdy74E/l3q9Xvs+LFiwgFAopHWIr66uxufzYbfbte+Tw+GYcMgceDNsOpxPAX062O12iouL8Xg87N27lzvuuIP58+ezbdu2absmIcT5RQK6EEJcYAY2gnO73ZjN5jOqSND/Rr6yspLTp0+PuQv6QLEQkIhAoNPpiEQinDhxgpqaGpYsWcLs2bMnHXriUbn2eDwcPnwYs9nM1q1bMRgMBIPBQcusY3O9u7u76ezspL6+nvLycmw2G6mpqQSDQa1R3/luulYKjHbjyGg0kpGRQUZGBtC/QsPtdtPZ2UlFRQWhUIiUlBQtsNvt9jH/jF/oFfTJdpH3er1a5/7JSE9PR6/X09LSMujjLS0tZGdnj/g8nU7HwoULASgsLKSiooLvfOc7EtCFEHEjAV0IIS4gQ2ebjzSr3Ov1UlJSAkBRUdGE5g7H3oRHIpG4d42OhVufz8emTZtISUmJy3EnG9AbGxspKytj7ty5FBQUjDq2TafTaXueY1XbWAjs7e3Vwnussmu328/b+ejTXUE/m6SkJLKzs8nOzkZVVfr6+ujs7MTtdlNXV4eqqtr3crStCzAzKujTPWZtMjcIvF4v+fn5k74Ok8nEunXr2Lt3Lzt27AD6vzZ79+7l1ltvHfNxotEogUBg0tcjzm7Pnj3cfvvtdHV1AXDPPffw1FNPUVxcPOJzbrjhBrq6unjqqaeA/kZ/hYWFPPjggwm/XiEmSgK6EEJcAGKzzcPhsFZBi3VqH1qpjYXM2bNns3jx4gm/mY4FkHg3iuvs7OTEiRPodDqKioriGv4nOgc9Go1y7NgxGhsbWb169bAjms4mttUgMzOTSCRCUlISFouFzs5O6urqALQ90S6XC6vVOu5zzETTWUGfyM+2oihYrVasViuzZ89GVVU8Hs8ZWxcGBnaLxaI9fyYE9HN5ibvP55vQDcPh3HHHHXzqU59i/fr1bNy4kQcffBCv18uNN94IwCc/+UlmzZrFd77zHQC+853vsH79ehYsWEAgEOAvf/kLv/71r3nkkUficj3nsxtuuIFf/epX2r+npqayYcMG7rvvPlatWjWmY+zatYsPfvCDk7qOP/3pT3HrJyFEokhAF0KI89xos831er3WvT0cDlNeXk5bW9uEQ+ZAsRsA8Qroqqpy8uRJTp48SXZ2Nh6PJ+6V+YnMQff7/RQXFxOJRCgqKopbcDYYDMyaNYtZs2ahqiq9vb10dnbS0tLC8ePHSUpKGrR//Vx+0znTK+ijURQFu92O3W5n7ty52uoOt9tNU1MTlZWVmM1mLaybzeYRJyVMhekO6JOt4Hs8nrjtQd+1axdtbW3cfffdNDc3U1hYyHPPPadt+amrqxv0tfJ6vdxyyy2cPn0ai8XCkiVL+M1vfsOuXbvicj3nu+3bt/PLX/4SgObmZr72ta/xoQ99SLsBeTYWi2XQza6JSE1NndTzhZgKMutFCCHOY2ebbR6roPf09LBv3z76+vrYunXrpMP5wOPHI6DHRiKdPn2ajRs3kpmZmZDK63iXuHd0dLBv3z5sNhubN2+OWzgfGt4URSElJYX8/HzWrl3LxRdfzOLFi9Hr9dTU1PDqq69y6NAhqqurcbvdCRtvF2+xr/W5HNCHim1dmD9/PuvWreM973kPBQUF6PV6Tp06xVtvvUU0GqWqqor29nbtBtlUmc4xa7GVPJOtoMezSdytt97KqVOnCAQCHDhwgE2bNmmfe+mll9izZ4/279/61reoqqrStjjs27fvnA3nqqrSHXLjCfdO2TkHbhUpLCzkq1/9KvX19bS1tfHSSy+hKIq2fB2guLgYRVGora0F+pe4O53OEY8fiUS44447cDqdpKWl8eUvf/mMv+fbtm3j9ttv1/49Pz+fb3/723z605/GbrczZ84c/ud//mfQc/bt20dhYSFms5n169fz1FNPoSjKqEvrhZgMqaALIcR5aOBs89hS3uHCiE6no7e3lwMHDjBv3jwWLFgQ19ASj4DudrspKSnB4XBQVFSE0WgkEAgkLKCP5XpVVaWmpobq6uoJz1wfyzlGotfrSUtLIy0tDehvYhbbE11WVkY4HNbGuaWmpo66J/pClaiAPpTBYCA9PV1rbNbZ2UlpaSmRSITjx48TCARISUnRKuwOhyOhAXo6K+ix363J7kGP1xL3C1WNt4p9nf/AE+kBIMOUzSXpV5Bmis+N2bHweDz85je/YeHChdrfscl64IEH2LNnD7/4xS9YunQpDzzwAE8++STve9/7zvq8//7v/+Y///M/+eMf/8jNN9/MJZdcwuLFi+np6eGqq67igx/8IL/73e84derUoIAvRCJIQBdCiPNMNBolHA4Pu6R9oGAwSGNjIz6fj/Xr1ydk6d9kArqqqtTW1lJVVcWiRYuYO3eu9jriuXR+oLEE9FAoRGlpKb29vWzcuBGHw5GQ6xiPpKQkcnJyyMnJQVVVvF6v1nCupqYGvV6v7V9PTU2dMePczscK+tno9Xr0ej1LliwBoK+vD7fbjdvtpqGhgUgkgtPp1L5fycnJcb3O6Qzosb9JE62gx3627XZ7PC/rgtLYV8ff2p4a9LH2YAtPNz/OrtxPYzUkboTdM888o61+8Hq95OTk8Mwzz8Tt5/HBBx/kzjvv5J//+Z8B+OlPf8rzzz9/1ud98IMf5JZbbgHgK1/5Cv/f//f/8eKLL7J48WJ+97vfoSgKP/vZzzCbzSxbtoyGhgZuuummuFyzEMORgC6EEOeJ2GzzUCikhY+R3tjHqtJGo1Gb75wIEw3SwWBwUAgeuqwxkQF9tMp1T08Phw8fJjk5mS1btmAymeJ+DTETXSEwcJxbXl7eoD3RDQ0NVFRUYLVatbDudDrjvpf/XDBdAX1oQI7tq83NzR10c8XtdlNbW4tOp9NWQ8Qazk3muqezi3s8KujxXuJ+oTncfQAFBZV3/76oqISiQY55Slnr3JKwc7/3ve/VGuq53W5+8pOf8IEPfICDBw9O+tjd3d00NTUN2qJgMBhYv379Wf+WDmxSpygK2dnZtLa2AlBZWcmqVaswm83aYzZu3Djp6xViNBfef5GFEOI8NHBJOzBiOB/YaK2goICkpCRtf18iTCRId3V1UVxcjN1up6ioaNgQHI955cMZrUnc6dOnqaioYP78+cyfPz+h4S7e2wxiy6fnz59PKBSiq6uLzs5Oqqqq8Pv9pKSkEI1GsdlsU1phvRAr6KN1jx/u5srQ5oAmk2lQN//xrIZQVXXC3evjIbb/fDJfd1niPjntwZZB4TxGRaU92DLMM+LHZrNpM+QBfv7zn+NwOPjZz37G5Zdf3n8dA/7+hkKhhF5PzNAGmxOd5iFEvEhAF0KIc9zQ2eYjvfn1+/0cOXIEv9+vLc1ubW09Y8xaPA03xm0kqqpy6tQpjh8/TkFBAfn5+SO+lqmsoEciESoqKmhpaWHNmjXaXuLxHney1xEvRqORjIwMMjIygHeXWJ86dYrW1lba29sH7V+fbMV2pprOCvpYz6vT6XA4HDgcDubNm0ckEqG7u5vOzk7q6+spLy/XVkO4XC6cTueo3fzjUcGejMk2qItEIlJBnySb3o4/2nfGxxUUbPqp3ToQa1za19en/T1qamrC5XIBjKsJm8PhICcnhwMHDnDxxRcD/ZNJ3nrrLdauXTvha1y8eDG/+c1vCAQC2s2wQ4cOTfh4QoyFBHQhhDhHjTTbfDhtbW2UlpaSnp7O2rVrtSXNer0+oZWCsQbpUCjE0aNH6e7uZsOGDdobtMked7yGBmOfz6d1Ei4qKprwiJ/prBSfTWyJdW9vL3q9nszMTDo7O2lra+PEiRMYjcZB49ziuaxfKujjo9frte8FMGg1RHV1NX19fdjt9kEN5wYuZx/Yl2I6TLaDu9frBZA96JOwPKWQVzr+dsbHVVSW2Fcm9NyBQIDm5magf4n7ww8/jMfj4aqrrmLhwoXk5eVxzz33cO+993L8+HEeeOCBcR3/3//93/nud79LQUEBS5Ys4Qc/+MGgrvATce2113LXXXfxL//yL3z1q1+lrq6O+++/H5iZf8/F+UECuhBCnINGm20+UDQa5fjx49TX17Ns2TJmzZo16PPjqXBPxFhuAHR3d1NcXIzNZhtxSftQiaowD1za2NbWxpEjR8jOzmbp0qVTGmoSWUE/23lTUlK0kW6RSISuri6twl5WVkZycrIWEocGwHPJuVBBP5uhqyEGdvOvqKggFArhcDi0wB773ZrOLu6THbEGSAV9EpYkr6Iz2M7R3re1j+nQc3Ha5Qnv4v7cc8+Rk5MD9N9kWbJkCX/4wx/Ytm0bAI899hg333wzq1atYsOGDXzrW9/immuuGfPxv/jFL9LU1MSnPvUpdDodn/70p7n66qvp7u6e8DWnpKTwf//3f9x8880UFhaycuVK7r77bq699tpB+9KFiCdFnY53AEIIISYsGo0SDAbPWjX3+XyUlJQQjUZZvXr1sG9qe3p6OHToEJdeemlCrvWtt94iIyODOXPmnPE5VVWpq6vj+PHjLFiwgHnz5o05uPh8Pl599VWuuOKKuF5vXV0dra2tOBwOamtrh72pMV6x79doTfuGOn78ODqdbtB+zUSrrKzEYDCwYMGCER8TDAa1ANjZ2akFwFhgH2/H8VAoxKuvvsoll1wypUFfVVVefPFFioqKpvxNdlNTE01NTZNadjsWqqri8/m0hnNut1tbdVNQUIDL5Zry8Xutra2cOnWKDRs2TOj5J06cYNOmTfj9/mm7yTCd/H4/NTU1zJs3b9I/t90hNw19p9DrDMy1LMCsn9jqoAvRb3/7W2688Ua6u7snvKpKTI14/s5MJamgCyHEOSL25jrWpX20cN7U1ERZWRm5ubksXrx4xPCT6Ar6SEvRw+EwR48exe12s27dunF3kY81c4t3FTS2x9fn87F58+ZpW0o7XRX0szGZTGRnZ5OdnT0oAHZ2dmodxweOc5upb4ime2n9VIRLRVGw2WzYbDZmz56Nqqq0trZSUVFBR0cH1dXVGAwGrboe6xCfSJNd4u7xeKb8psL5ymF04TCOvpVI9Hv00UeZP38+s2bNoqSkhK985St89KMflXAuEkYCuhBCnAPGuqR9YEOzlStXkpWVNepxY0vQE7Xcd7iA3tPTQ3FxMRaLhaKiognN5I5dazyvu7u7m5MnT6IoClu2bBm12ZY4MwBGo1F6enro7OykqamJyspKLBbLoI7jQ8e5TVdQns6AHs8l7uOhKAoWiwWDwUBhYeGg8Xux75fZbNa+X06nM+5jBCe7xF06uIvp0NzczN13301zczM5OTlcc8013HvvvdN9WeI8JgFdCCFmuIFV89GWSff29mqzzcfa0Cz2ZjlRs5EHBnRVVamvr6eysnLSo8piFch4jAQbeF0ZGRn4/f64hvOJvMZzccxPbF53bGZ9OBzWllYPbGAWq66npKRM27VeCBX04Qzsoj5w/B70f79i/QZqamrwer0kJydrgd3hcJxxg2Ui549HQJcKuphKX/7yl/nyl7883ZchLiAS0IUQYoZSVRWv10tfX5+2t3ek2eaxgJmfn8+CBQvGHABij5vsG+fRjh+NRgmHw5SVldHR0cHatWtJS0ub9HGBSYfYSCRCWVkZ7e3trFu3jkAgwKlTpyZ1zOFciIHCYDAMamDm9/u1/eulpaVEo1EtpPt8vikNXhdiBT127pH+NhgMBtLT07UxgsFgUNu+UFlZSSAQICUlRQvsKSkp477RMNkxa1JBF0JcCCSgCyHEDBSbbd7Y2EhbWxvr168f9nGx8WRdXV0TCr4DK+iJEJtxu3//fpKSkti6deuElrQPNXCJ+0R5vV4OHz6srTgwm800NzfPiL3fM3UP+mSYzWZyc3PJzc1FVVU8Hg9tbW243W7efPNNjEbjoP3r8V5ePdB0B/Tp7KI+1nObTCaysrK0bTJ9fX1aYG9oaCAajWoNAl0u15gaBMZjD7p0cBdCnO8koAshxAyiqqoWzmPLzkcKz11dXRQXF5OcnDypvdyKoiSsUZzX66Wjo4P58+ezcOHCuAWi2HEmemOhpaWF0tJSZs+ezaJFi7TQMpOC8Uy5jkRQFAW73Y7RaKS2tpb3vOc9dHd309nZSX19PeXl5YOWVzudzriu8LhQl7hP5uaAxWLBYrFoN1i8Xq8W2GtqagYtmY81nBv69Y3HmDWpoAshzncS0IUQYoYYrhGcwWA4IzyrqkpNTQ3V1dUsXLiQ/Pz8SQWNscwqH69wOEx5eTmdnZ2kpqZSUFAQ1+MrijJih/jRRKNRqqqqqKurY+XKlWRnZ59x3Jmw9/tCWRIfC8p6vV6rnMPwy6sHjnOz2+2T+hpNdwV9Ope4x+NGh6IoJCcnk5ycTF5eHtFolN7eXjo7O2lpaeH48eOYTCatuu5yuUhKSiISiUyqv4MscRdCXAgkoAshxAwQq5rH9mjG3sDr9fpBAT0QCHDkyBF8Ph8bN27E4XBM+txDzzFZHo+H4uJijEYjc+fOxe/3x+3YA4232h0IBCgpKSEYDLJly5Zhl8rGxrfNBDPlOhJtuLA6cHm1qqr09fVp+9fr6uoABi2HH++4o7M1XEykc7WCPhqdTofD4cDhcDBv3jwikYjWcC62IsJms2nL4sPh8IQazskSdyHEhUACuhBCTKPYbPNwOKy9eR4YGgaG5/b2do4cOUJqaipFRUVx6zQez1noDQ0NlJeXM3fuXBYuXEhdXR0+ny8uxx5qPBV0t9tNcXExqamprF27dsRwMFOWuF9oFfTRKIqC1WrFarVq49yGVmsHjgdzuVxn/d1I1FjBsUjUxISxnnsqbg7o9XrS0tK0nhihUAi3201VVRUdHR28+uqr2O12rbrucDjG9DWRJe5CiAuBBHQhhJgmY5ltrtfrCYfDVFZWUldXx9KlS5k1a1Zcw0U8lrgPnL9eWFiode6eyDL0sRrLsVVV5dSpU1RVVbFo0SLmzJkz6tdupgR0mJ4K+nScc7w/y0OrtbHxYLG90EePHh3UbdzhcJwRSqc7oMdzjN94TLaL+kQZjUYyMzNpaGggOzsbl8uljeCrqKggFArhcDi079lIWxi8Xq/WtE4IIc5XEtCFEGIaxGabD1c1HygUChEKhWhraxtxWfZkTbaCHlvSbjAYzpi/nsiAfrYwHQ6HOXr0KG63m/Xr12vzns92TNmDPnXicUNg6HiwQCBAZ2cnnZ2dlJWVEQ6HtUptamoqNpttWgP6+bjEfaxiXdzNZjM5OTnk5OSgqio+n08L7LEtDE6nU/ueWa1WFEXRZrPHw49//GO+//3v09zczOrVq/nRj37Exo0bh33sz372Mx599FGOHj0KwLp16/j2t7894uPFyJqbm7n33nt59tlnaWhoIDMzk8LCQm6//XYuvfTS6b48IWYECehCCDGFVFUlHA4TDoeB4avmMc3Nzdobws2bN09oz+ZYTKaC3tjYSFlZGXl5eYO6ocdMVwXd4/Fw+PBhkpKSxtXhPlF70CcSCGdKJT/R4h2Uk5KSBoU/r9er7V8/efIkBoMBu92OqqoEAoG4jP0bj+luEjfdAX3o+RVFwWazYbPZmD17Nqqq0tvbi9vtpr29nerqal566SXKysqIRCIEg8FJX8cTTzzBHXfcwU9/+lM2bdrEgw8+yBVXXEFlZSWZmZlnPP6ll17i4x//uDaO8Xvf+x6XX345ZWVlzJo1a9LXc6Gora1l69atOJ1Ovv/977Ny5UpCoRDPP/88n/vc5zh27Nh0X6IQM8L0/ZUWQogLTDQaJRgMauF8pCZVkUiEsrIyjh49ypIlSxJ+XROpoMeusaKigtWrV7NkyZJh3/hPR0Bvampi//79ZGVlsWHDhnEFsHgvcVdVlfr6el599VXeeustampq6O7uPuvXJNEBLuT3425soLOhHr/Hk9BzjSbRNyFi3cbnzJnD6tWrufjii1m+fDkmk4loNMrrr7/OgQMHqKqqor29XfvdTKTprqBP1/53GNscdEVRSElJYe7cuaxZs4aLL76Yyy+/nDlz5lBZWcm3v/1tCgoK+Ld/+zf+8Ic/TOjvyw9+8ANuuukmbrzxRpYtW8ZPf/pTrFYrv/jFL4Z9/G9/+1tuueUWCgsLWbJkCT//+c+JRqPs3bt33OeeMSIRaGsDdydM0c3AW265BUVROHjwIDt37mTRokUsX76cO+64gzfeeAOAuro6PvzhD5OcnExKSgof/ehHaWlp0Y5xzz33UFhYyC9+8QvmzJlDcnIyt9xyC5FIhPvuu4/s7GwyMzO59957B51bURQeeeQRPvCBD2CxWJg/fz5//OMfBz3mK1/5CosWLcJqtTJ//ny+/vWvEwqFzjj3r3/9a/Lz83E4HHzsYx+jt7cXgEcffZS0tDQCgcCg4+7YsYNPfOITcf1aivObVNCFECLBhs42H61qHlsurtfrtcrv0aNHE7rserxd3L1eLyUlJSiKcsaS9qGmcol7NBqlsrKShoYGVq9ePWwlbLzHnIxIJEJ5eTltbW0sW7aMUCikzfmGd7uQp6WlYTabE3YdQ3U21HO6vBR/bw+qqpJktZFdsHjaKvZTWU2OzerW6XR0dnayceNGbZxbVVUVfr//jL3Q8Q7T011BT9RKnLGef7w3CHQ6HUVFRRQVFfH2229z9913k52dzd69e/n5z3/ORz7ykXEdLxgM8tZbb3HnnXcOOsdll13G/v37x3QMn89HKBTSxgKec45Xwv59EJuw4XTCtvdBAvf3d3Z28txzz3HvvfcO2+jP6XQSjUa1cP7yyy8TDof53Oc+x65du3jppZe0x1ZXV/PXv/6V5557jurqaj7ykY9w8uRJFi1axMsvv8y+ffv49Kc/zWWXXcamTZu0533961/nu9/9Lj/84Q/59a9/zcc+9jFKS0tZunQpAHa7nT179pCbm0tpaSk33XQTdrudL3/5y4PO/dRTT/HMM8/gdrv56Ec/yne/+13uvfderrnmGj7/+c/z9NNPc8011wDQ2trKs88+y9/+9rcEfWXF+UgCuhBCJNBYGsHFHtfQ0EBFRQVz5syhoKBg0HLrcDiMyWRKyDWOJ0THlt3PmjWLxYsXnzW8xLND/HDHjl233++nuLiYSCRCUVERVqt1QseMVzDu6+ujuLgYgC1btqDX61FVldzcXG0Jb0dHB83NzRw/fhyLxaKNDBvLXvkJX1dPN3VHiomEQ6Rk5aAoCn093ZwuK0WflYs9ffw3NSZjum4KxLYcxJqXxW7mxMa5Db2REgvsFotl0uF6OpeZz8Ql7uPh9XrJyMjgQx/6EB/60IcmdIz29nYikcgZzeaysrLGvMT6K1/5Crm5uVx22WUTuoZpVV8HL/5j8Me6u+GZp2HXxyFBY+xOnDiBqqqjrgrbu3cvpaWl1NTUkJeXB/RXpZcvX86hQ4fYsGED0P9z/Itf/AK73c6yZct473vfS2VlJX/5y1/Q6XQsXryY733ve7z44ouDAvo111zDZz/7WQD++7//mxdeeIEf/ehH/OQnPwHga1/7mvbY/Px8vvSlL/H4448PCujRaJQ9e/Zgt9sB+MQnPsHevXu59957sVgsXHvttfzyl7/UAvpvfvMb5syZw7Zt2+LwVRQXCgnoQgiRICPNNh8qHA5TVlZGR0cHa9as0ZpdQX9gjPec8qHGcvxoNMqxY8dobGxkxYoVZGdnj+nYU7HEvaOjg5KSEjIyMli2bNmklvDG43pj15OZmcmyZctQFGXQMsnYEt6UlBStC/nQKq7ZbEan09Hb20tycnLcKq49bS0EvL04c2drx7Q6nHQ1NRJob5vygA7T0xBvpJ4AFouFWbNmMWvWLO1GSmdnJ62trVRVVZGUlDRo/vpEurFP5xL36eriDu+OlJzo72esn0AsGE2X7373uzz++OO89NJLZ6x8OScUHwZFGbysXVX7l7xXlMOGxDS+G8vNuIqKCvLy8rRwDrBs2TKcTicVFRVaQM/Pzx/0c5CVlYVerx/0s52VlUVra+ug42/ZsuWMf4/dSIX+3gQPPfQQ1dXVeDwewuEwKSkpg54z9Nw5OTmDznPTTTexYcMGGhoamDVrFnv27OGGG264YBp/iviQgC6EEHF2ttnmA3V3d1NSUoLFYmHr1q3D7pc2GAwJD+ijhVKfz6e9iRlvdToeI9xG09LSQnt7O0uWLGH27NmTfhM0mQr6wJFuS5Ys0d5knu14BoOBjIwMbTSdz+ejurqa7u5u3n77bXQ6nRYIU1NTJ9XULBIKwTC9D/RGI/5gYIRnJc50V9BHM/BGSn5+PpFIRBvndurUKcrKyrDb7dqqh7HO8p7uJe7TGdCBSd1A8/l8k+7inp6ejl6vH7SvGfr/lpztxuP999/Pd7/7Xf7+97+zatWqSV3HtOkcYc+5qvbvR0+QgoICFEWJSyO4oTfGYqthhn5sPP/t2b9/P9dddx3f+MY3uOKKK3A4HDz++OM88MADZz33wPOsWbOG1atX8+ijj2qNBJ999tkxX4cQIAFdCCHiajxL2mtra6mqqmLhwoXMmzdvxDftiVwmfrbjt7S0UFpaSm5u7oiN4M527EQE9FAohNfrxePxsHHjRhwOR1yOG/sejLfreiQS4ejRo3R2drJhwwacTueEr8FqteJyuVBVlRUrVtDT00NnZyenT5+moqKC5ORkLayPNRTGJNmSUYBIOIz+nb3IajRKKODH5Eib8DVPxkyqoI9Gr9eTlpZGWlr/1ykYDGrL4cvLywmHwzidTi2wj7TyYbqbxE1n9R4mF9C9Xu+w+5fHw2QysW7dOvbu3cuOHTsAtIZvt95664jPu++++7j33nt5/vnnWb9+/aSuYVrZ7e/uPR9IUSA5casTUlNTueKKK/jxj3/M5z//+TO+j11dXSxdupT6+nrq6+u1G5zl5eV0dXWxbNmySV/DG2+8wSc/+clB/75mzRoA9u3bx9y5c7nrrru0z586dWpC5/nsZz/Lgw8+SENDA5dddtmgFQFCjIUEdCGEiBNVVQkGg2dd0h4MBiktLaW3t5cNGzacdc/xVCxxH9q9emDDteXLl5OTkzOhYycioPf09GgV/Xnz5sUtnMPEArrP5+Pw4cPaHPh4ju3S6XQ4nU6cTifz58/XGs11dnZSUVFBKBQatOQ6Ni96JI7sHBzZubgbT2O2p6AoCv7eHpJT0yB16pe3z+QK+tmYTCays7PJzs7WZnnHvjc1NTXayofY9ye2HPpCraAPvGk50ef7/f64zEG/4447+NSnPsX69evZuHEjDz74IF6vlxtvvBGAT37yk8yaNYvvfOc7AHzve9/j7rvv5ne/+x35+fk0NzcDkJycHLe57FNmxcoz96DHLJ18CB7Nj3/8Y7Zu3crGjRv55je/yapVqwiHw7zwwgs88sgjlJeXs3LlSq677joefPBBwuEwt9xyC5dccklcbor84Q9/YP369Vx00UX89re/5eDBg+zevRvor/DX1dXx+OOPs2HDBp599lmefPLJCZ3n2muv5Utf+hI/+9nPePTRRyd93eLCIwFdCCHiJPame7Rw3tHRwZEjR3A6nWzdunVMe1gTHdCHVtBjDc6i0ShbtmyZVMUqFtDjEYgAGhoaKC8vZ968efT09MQ9bMSON9Yg097eTklJCTk5ORNaYTCSkZbaG41GsrKyyMrK0kJhR0cHHR0dVFdXYzQaBy2HH/rzZTCamLd2A1anC3djPWpUJWvhYjLnLaC+ueWM802Fc6WCPpqBs7zz8vKIRqPayofGxkYqKyu1RoChUGjabkxM55i1s924PBvPO+MA47EHfdeuXbS1tXH33XfT3NxMYWEhzz33nNY4rq6ubtDv8iOPPEIwGDyjY/x//dd/cc8990z6eqZUwaL+pnCH3353qbvRCJe8FxLYoBJg/vz5vP3229x777188YtfpKmpiYyMDNatW8cjjzyCoij8+c9/5rbbbuPiiy9Gp9Oxfft2fvSjH8Xl/N/4xjd4/PHHueWWW8jJyeGxxx7TKvP/9E//xBe+8AVuvfVWAoEAV155JV//+tcn9P11OBzs3LmTZ599VlulIcR4KOp0/VdCCCHOQ7FRakNFo1Gqq6upra1l8eLF5OXljfmN6qFDh8jJyWH27NnxvlwAamtrcbvdrFmzhtbWVkpLS8nKymLp0qWTfjMfCAR48cUXufzyyycVXiORCBUVFbS0tLB69WrS09MpKSnBbrczf/78SV3jQOFwmL///e9ceumlo948UVWVmpoaqqurWbZsGbNmzRr1sbFQplXoo1FCwQAGgxHdMGOvGhoaaGtro7CwcMzXHolE6O7u1qq4Ho+HlJQULaynpKQM+h5Ew2FUVUX/zuusrKxEr9ezcOHCMZ9zsrq6uigrK2Pr1q1Tdk7oH31UV1c3ZUuVBzYCbGxsRFVVHA6HVmEf+r1JlAMHDrBw4UJtmf5U6u3tpbi4mPe85z0Ten5DQwNLly4lEAgkbKLFTOf3+6mpqWHevHmTb1Dn80FjA+j1MDuvP6SfxxRF4cknn5yywHzppZeyfPlyHnrooSk5nxheXH9nppBU0IUQIsH6+vo4cuQIwWCQzZs3j7sCNBUV9HA4TGVlJXV1dSxfvpzc3Ny4HRsmt7Q21qRu6Nz1RCyfH7jEfSThcJjS0lK6u7vHvf9dVVU66mppOl5BX08PRrOZrAUFZC9cPCioT6TKqNfrtTAO/TdHYmG9tLSUaDSKy+UiLS1NGxk2E0xHBX2ql5kPbATY1tbG4sWLte0Kp0+f1r43scB+tq0KEzWdXdwn08Ed+vefJyUlTesc9/OK1QoLC6b7Ks47brebl156iZdeekkb3ybEeMlfOSGESKCBFel169ZN6M1lopvERaNRurq6CAQCbNmyJa57KgcG9Iloa2vjyJEjZGdns3Tp0kHhIl4zyweKhaKRrtfr9XL48GGSkpIoKioadyWvrfYkJw68jqqqmGw2upobaTxWRsa8hax8/wew2N8d6TPZ15aUlEROTg45OTmoqorH46Gjo4OWlhaOHz+O2WyektnrozmX96BP5txms5mMjAxyc3O1701nZydtbW2cOHFC26oQC+3xqhhP9x70yZzb4/Fgs9lkXJWY0dasWYPb7eZ73/seixcvnu7LEecoCehCCBFHAwNebG74smXLJlWRTuSYtba2NqqqqtDpdGzZsiXu+1MnGtBVVaW6upqampoRl5BPdQW9tbWVI0eOkJeXR0FBwbjDRjQSoamyHIDktHTqjxymq6mRcDBA26kamquOseHqj5KzaGncQ4iiKNjtdux2O/n5+YTDYW1kWHV1NX19fRiNRiwWCz09Pdjt9ikLQufDHvTxGBqSB35v5s6dO2irQl1dHeXl5VrnfpfLhdPpnPDv6XQH9Onu4C4uXFN1M7C2tnZKziPObxLQhRAizrxeLyUlJcD454YPJxFL3KPRKCdOnODUqVPMnj2bjo6OhDSPUt6ZuT2eIB0MBjly5Ag+n2/ULQGJCuhDK/OqqnLixAlqa2tZsWLFhDvaB3xe+np7MNvttFQfp+1UDYqioDMaCAeDdDU3cOhPT/D+z92hnTdRDAYD6enppKenA/3bMCoqKggEAtp2glj1Ni0tLa6d6QearqA8naPOzvaah25VCAaD2v71Y8eOEQqFBu1fH8/NlOlsEjfZc8cCulTQhRDnOwnoQggRR01NTZSUlJCXl8eiRYviEgL0ej2hUCgOV9fP7/dTUlKi7YkPBoO0tbXF7fhDjWeJfnd3N4cPHyYlJYUtW7aM2qhtvMF/rAYG9FAoxJEjR/B6vePuHxAK+An29WGyWEFRMBhN6I1GQn4/HadqQFUxWa2oURXFpGA0m+lpa6GhvJTkuQvi/rpiwqEgno4OwsEAxiQzyalpWCwWbDYbKSkpzJ8/n97eXjo6OrQO5FarVQuNk6ngzhTTeWNgvFVsk8k0qHN/X1+f1lugtrYWnU43aP/6SL0FJnLueJIKuhBCjI0EdCGEiCOj0UhhYSEZGRlxO6Zer8fv98flWB0dHZSUlJCenq7tiXe73Qmfs362IK2qKvX19VRWVrJw4ULy8/PPGqB0Ol1cb1zExAJ6b28vhw8fxmaznfVmwUDhYJCTbx+k8Vg5oYCfJFsyuUuWk7tsJRn5C6h5+yDBvj50Bj1qVCUSDmEwmUiyJhPs66O3o53kuQsSUkH39/ZwuqIMr7uj/7WikJyWzqyly7XH6HQ6HA4HDodDm70+tILrdDq1wD6ZquZ0BuXpOi9MfFm/oihYrVasViuzZ88mGo3S29tLZ2cnTU1NVFZWDuot4HQ6tZ/b2LnP1T3oXq/33Js5LoQQEyABXQgh4igjI4NwOBzXY8ZjifvAZdpLly5l1qxZWkgYS4CejLMtRY9EIpSVldHe3s7atWvHPAIqEUvcY8dtbW2lurqa/Px8Fi5cOK5AdfyNV6l5+xBmWzJmm40+by+Vr79EJBohb+lK+np7OF12hKDPB4oOo8lEki2ZSCiEolNITktLSHhUo1Gaq6vwujtISc9Ep9cTjUToaWul5eQJVOPwI2iMRiOZmZlkZmZqs9djFdyTJ09iMBgGzV4/F0ZgTXdAj1dIHngzZd68ecP2FrDb7dqYvXiee7ykgi6EEGMjAV0IIWa4yQb0QCDAkSNH6OvrG3aZdqK7xI8WpL1eL8XFxej1eoqKisY1pzQRS9xVVSUSiVBdXc2qVavIysoa1/N93V00VlZgczixpPSPXzNarHS3ttJYXkreslUsuWgbva3NVL7+EqBDbzQR8vsJ+ftIycxizso1dHu8ca+gB7wevJ0d2Jyp6N4JSjq9HqvDgaejHdWVjsEweoVSURRsNhs2m428vDyi0Sjd3d10dHRoDc1igTA1NRWHwzFqILzQKuixn9dEheShvQX8fr+2+qGhoQGAo0ePkpaWhsvlmtI93fHagy6EEOc7CehCCBFHiXizO5mA3tHRwZEjR3C5XKxZs2bYMW+xCnqiQstIAb2lpYXS0lJmzZrF4sWLxx1adDpdXENsMBikpKQEVVVZuXLluMM59Af0YJ8PW87grvNmWzK+3m78nl6SU9NYefmVhMMhGo+VE/R6UPR60ubOY80HPkyS1QYeb7xeliYajRKNRtDpB3+ddXoDarRvQl/L2P7n2Ji2YDCoVdfLysqIRCLa/ujY7PWZ0ORruivoU3Vus9msjdrz+Xy88cYbuFwuOjo6qK6uHrT6weVyJawZIMgSdyGEGCsJ6EIIMcNNJKCrqsrJkyc5efIkixcvJi8vb8RQEKtqJarD89CAHo1Gqaqqoq6ujpUrV5KdnR2X405GT0+P1pzOZDKNq5I/kMlixWhKIuTv6w/a7wgF+jCaTJjeaeBlsaew/sPX0Ln2FB53J0azhbTZc0hO7V/ef7YZ7x3eICWne6jt8GFLMrAix87SnGR0owS/JFsy5mQ7fb09JLve3UbQ19uNxe4gFIdwZjKZyM7OJjs7+4z53lVVVSQlJWmd4V0u1wVbQZ+u16zX65k7dy5z587VVj90dnZSX19PeXk5NpstYc0AI5HIpG4ASAX9wqMoCk8++SQ7duyY1uu44YYb6Orq4qmnnprS8+bn53P77bdz++23T9k5E/1aZ8r3dKaTgC6EEDPceAP6wDFlmzZt0vaejiRW1ZrsHtHRjh8LJoFAgJKSEgKBAFu2bJlURexsIXasGhsbKSsrY/78+cyfP59XXnllwsHf6nThzJlFS3UVKRkKJouFgNdDX28P+Ws29Hd0f4fJbCG7YMm4z9HaG+Dxtxo57fZjM+kJRqIcbezlkoJULlsycnNCvcFARv58GsqP0t3ajDHJTCjgx2BKIiN/Pk3urom85BENN9976P5oi8VCOBymu7ublJSUhATXYF8Yb3cQo0mPzWXSfm6mK6DHRvlNx7kHVrAHrn5YsGDBoGaAlZWVBAIBbZxbamrquMa5jXT+yS5xz83NnfDzxfS64YYb+NWvfnXGx6+44gqee+65abiiM9XW1jJv3jwOHz5MYWGh9vEf/vCHUzZHfTTxDOxjfa3btm2jsLCQBx98cFzHv+eee3jqqacoLi4e9PGmpiZtxZUYmQR0IYSIo+le4u52uykuLsbpdI658/jACnoixAJ67NpcLhdr164ddrn9RI47UdFolMrKShobGwd13p/I0vlIOMzpsiM0HCvD19NNOBjE3dSAISkJk9lC3spC5q3dOPYDvjMSazgHars43eWnIMOGTtf/89bpDfJGTRcrclPIThm5SunMzsVgNNHV3ITf24s9MwtXdi42V2rcA/pQer2etLQ00tLSKCgowO/3U1tbS2trKyUlJQCDms1NdBVDjBpVqT3SyenyLgK+MDqDDle2hcVFmRfk/PWzjVgb2AwQwOfzaYG9rq4OYNA4N6vVOuKxhhOPJnGyxP3ctn37dn75y18O+lgit1XEi8PhmO5LmDKJfq0TXTF3oZme/0oIIYQYs7EE9NiS9jfffJP58+dTWFg45rFgsYpeohrFKYpCa2urdm2rV6+edDiHyQX0QCDAoUOH6OjoYMuWLYPG4k2kMl/95hsce+0l/F4PZpsNm8uFIclM/uq1bP7ItSy75DIMY3gj2l5Xw77HH+WV/3mImuf/TMUrewkHAtrnI1GVyhYPVrOBqkCQV7q97Ovx0aNX6QmEOd3Vd9ZzJKelM3v5ShZuLGL20hXYXKnjeq3xEhsHZrVaec973kNhYSE2m42mpib279/PG2+8wfHjx2lvb5/Qz2bj8W5OHGonHIpic5kwmXW01noof7mZSDg6I6rYU2m8e8CtViuzZs1i5cqV2vfHbrfT0tLCgQMH2LdvH8eOHaO1tXVM4w4nuwfd5/Od0eBSTFwoEKGh0k3zyW6i0ampDiclJWlbYGL/xKqpVVVVXHzxxZjNZpYtW8YLL7ww6LkvvfQSiqLQ1dWlfay4uBhFUaitrdU+9vrrr7Nt2zasVisul4srrrgCt9sNwHPPPcdFF12E0+kkLS2ND33oQ1RXV2vPnTdvHgBr1qxBURS2bdsG9Ff/By7JDgQCfP7znyczMxOz2cxFF13EoUOHzrjWvXv3sn79eqxWK0VFRVRWVmqPqa6u5sMf/jBZWVkkJyezYcMG/v73v4/r66koCj//+c+5+uqrsVqtFBQU8PTTT2ufd7vdXHfddWRkZGCxWCgoKNBukIzltd5www28/PLL/PCHP9TeJ9TW1rJnzx6cTuega3nqqae0v6l79uzhG9/4BiUlJdrz9uzZo13zwOXzpaWlvO9978NisZCWlsa//Mu/4PF4tM/Hruf+++8nJyeHtLQ0Pve5zyVkxOpMIhV0IYSY4fR6/aij24LBIKWlpXg8HjZu3DihO+CJGrUWDofxeDxEIhHWr18f16VtE13i3tXVxeHDh3G5XNos+Mkc19fTTeOxciwpDqzvfO3NyXba6+toqT7B7OWrxxQG20/V8PpjvyLg6UExJRH0eil94S90NTWy+ZrrUHQ6FAVCQHFvHz6TDqOiEAUaAiHs/ukJnZMRq2QrikJKSgopKSnauLBY9fb48eMEAoFBs9eTk5NHfa1qVOV0RRc6nYLN2T/2TW/QoTPocDf3oU+Lkpwx9W+BpqtyD5O7OTDw+5Ofnz9ou0JNTQ1Hjx49a/f+yVbQPR6P7EGPk9KXTrP/yWpCgf4bXzZnEpfduIzZi6dn6XE0GuWf//mfycrK4sCBA3R3d09oGXdxcTGXXnopn/70p/nhD3+IwWDgxRdf1G7web1e7rjjDlatWoXH4+Huu+/m6quvpri4GJ1Ox8GDB9m4cSN///vfWb58+YgjI7/85S/zv//7v/zqV79i7ty53HfffVxxxRWcOHGC1NR3b3jeddddPPDAA2RkZPBv//ZvfPrTn+b1118H+n+eP/jBD3LvvfeSlJTEo48+ylVXXUVlZSVz5swZ82v+xje+wX333cf3v/99fvSjH3Hddddx6tQpUlNT+frXv055eTl//etfSU9P58SJE/T19d/EHctr/eEPf8jx48dZsWIF3/zmNwEG3cweya5duzh69CjPPfecdtNhuPclXq+XK664gi1btnDo0CFaW1v57Gc/y6233qoFeoAXX3yRnJwcXnzxRU6cOMGuXbsoLCzkpptuGvPX6VwjAV0IIeIoUUvc1XeWPA9909vV1UVxcTEpKSkUFRWNuWo+3DniXUH3eDwcPnwYVVWZM2dO3PedTaSCfvr0aSoqKli4cCH5+fnDfr/GO77N1+Um4POSOqu/c3skHKaj/hTdra2EA32EQ0GyCxYzb91mkkZZFlz5+sv4Pb04snIIhUJE0GGxmGk8Vk7bqRoy5y1ApyioDiMdjWFyzEmY3gk8nT0BunUKYWv8ewgk0kg3QgwGAxkZGWRkZKCqKn19fVp3+NraWvR6PS6Xi7S0tGFnr4fDUfzeMEbz4N8Xg1GHGlUJ9V14FfR4nnvgdgXoryjGbqiUlZURDocH3VCx2WyT3oPu8/lkiXscnCxu45XHjw/6mLc7wDM/KuHaezaRkm5J2LmfeeaZM76H//mf/8n69es5duwYzz//vNZn4Nvf/jYf+MAHxnX8++67j/Xr1/OTn/xE+9jy5cu1/79z585Bj//FL35BRkYG5eXlrFixQgufaWlpIy7F9nq9PPLII+zZs0e7vp/97Ge88MIL7N69m//4j//QHnvvvfdyySWXAPDVr36VK6+8Er/fj9lsZvXq1axevVp77H//93/z5JNP8vTTT3PrrbeO+TXfcMMNfPzjHwf6v2YPPfQQBw8eZPv27dTV1bFmzRrWr18P9O9hjxnLa3U4HJhMJqxW67iWplssFpKTkzEYDKM+73e/+x1+v59HH31Uu/n28MMPc9VVV/G9731Pm6Ticrl4+OGH0ev1LFmyhCuvvJK9e/dKQBdCCDF9Bu4Rj73BVlWVU6dOUVVVRUFBAXPnzp1U4Ij3LPSmpiaOHj3K3Llz8fv9CQkl4wno0WiUiooKmpubWbt2rRYsRjrueCroxiQzeqORUCCAyWyh43Q9nQ2nURQFky0Zk8XCiYP7qS87gitnNs6sHLIXLdE6tgNEw2E66mpJGjKX2mSx0NfTTVfjaTLnLQCgz2nCmWqmryeEV+1f5mdO0kOOlVamv5HReJ3t51ZRFKxWK1arldmzZw/bfTw5OXlQ93GDQYcl2UhPhx9z8rs3rcLBKDq9gsE8fY3azsUK+tkMXLqsqiper1cL7DU1NdoNwK6uLux2+4T2HUsFPT6K/16HosCgP3Fq/89H2WuNbNmxIGHnfu9738sjjzwy6GOpqan8+te/Ji8vb1ATwC1btoz7+MXFxVxzzTUjfr6qqoq7776bAwcO0N7erv33o66ujhUrVozpHNXV1YRCIbZu3ap9zGg0snHjRioqKgY9dtWqVdr/z8nJAaC1tZU5c+bg8Xi45557ePbZZ2lqaiIcDtPX16f1exirgeew2WykpKTQ2toKwM0338zOnTt5++23ufzyy9mxYwdFRUXjOn4iVVRUsHr16kG/11u3btX6w8QC+vLlywfd3MvJyaG0tHTKr3cqSUAXQog4i1d38ZjYf5jC4TAGg4FQKERpaSk9PT1s2LDhjL1gEz1HPJa4x/7D2tDQwOrVq8nMzKSsrCwhy+fH+nX2+/1aJb+oqAiLZfQK0Xi+f6qqEg4GUHQ62mprsLlSaTlZRTgQRFUjWHHR1dyEr8uNt6sTk8VKb1sLHafrWLbtMuzp/VUMRafDkJSE39P77rFRUd/5uhmS3m2YZk0ykL3Qgd0bwdcXRq9XcDiSOK1XMZyDS9zHa2j38YA/QPPpdtpb3Zw+WY5qCJOa5sKUbiPSHMHTGcBsNxIJRfF1h0ibbSPJ2XtBNolLxJSGoRRFITk5meTkZPLy8rQbKiUlJXR0dFBfX4/FYhlyQ2X0t6Oqqsoe9DhxN/sY7tdOjUJXiy+h57bZbCxcuHBCzx14czpm6D7ks/1tv+qqq5g7dy4/+9nPyM3NJRqNsmLFCoLB4ISu6WwGrmiL/b2J/bfwS1/6Ei+88AL3338/CxcuxGKx8JGPfGTc1zJ01dzAFWAf+MAHOHXqFH/5y1944YUXuPTSS/nc5z7H/fffP5mXNexN7ETuCR/tNZ6vpEmcEELMcDqdTmvi1t3dzb59+7SwGY9wHjvHZCvofr+fgwcP0tnZSVFRkdYNOp7zygcay3Hdbjf79u0jOTmZTZs2nfUNHIw9oAe8XvY9/mtefvTntJ48QWfjaU6+eQB/by+KTsFi7x8b1l5/Cr3BgMFowmxLxjV7Dr5uNw0VR989p07HnNVrCQcChPx+FPqvwdPRjsWeQs6id8exrbObCSoK1jQzeXNSyJ1lx5ukw67Xs8Q6/J7JmWwyQTkcjNBW04evyYA5mEaGeQG59kUkWxyotl7Cjg66ejtpa3Dj7e0ja76N5duyUZTpmUV+vixxH4/YDRWdTsfy5cu56KKLWLBgAaqqUlVVxauvvspbb71FTU0N3d3dI/5Oyxz0+HBkWBjuR1/R9X9uOixdupT6+nqampq0j73xxhuDHhNbkj3wMUNHeK1atYq9e/cOe46Ojg4qKyv52te+xqWXXsrSpUu15nExsa0yo/23cMGCBZhMJm0vOfSH00OHDrFs2bJRXuVgr7/+OjfccANXX301K1euJDs7e1Czu3jJyMjgU5/6FL/5zW948MEH+Z//+R9gbK819rihj8nIyKC3txev16t9bOj3YrjnDbV06VJKSkoGHef1119Hp9OxePHis76285kEdCGEOAfodDpOnz7NwYMHycvLY+3atSM2sJmIyVbQOzo62LdvH1arlc2bNw8awTQdAT22BeDNN99k4cKFrFixYszVw7HenT/ywl84XX4Ek8VK2uw52NMyUNUoBpMJq9OFPT0TY5KZaChEb3cXgWAQrz9AOBTCnGynq7mRyIDmf4uLLmHW0hX4Pb30trcS7OnGZLOx5sodWFLebbBzUYqV9XYzjcEwx/sCHOsLEFLhgy4b+UkT60EwXSa70qS93ktXcx/mFCMpmRZsziTCPgVj2EHh6kK2f7SIrdcsYF6RleRFXjr0VZQdK6G3t5dAIDDlVZjzdYn7WMSaxBmNRjIyMli8eDFbtmxh8+bN5OTk4PV6OXLkCK+99hpHjhzh9OnT+Hw+7WckXmPWfvzjH5Ofn4/ZbGbTpk0cPHhwxMeWlZWxc+dOrV/FeGdBz0SFl805s4L+zg2rZRclds58IBCgubl50D/t7e1cdtllLFq0iE996lOUlJTw6quvctdddw167sKFC8nLy+Oee+6hqqqKZ599lgceeGDQY+68804OHTrELbfcwpEjRzh27BiPPPII7e3tWs+K//mf/+HEiRP84x//4I477hj0/MzMTCwWC8899xwtLS10d3ef8RpsNhs333wz//Ef/8Fzzz1HeXk5N910Ez6fj8985jNj/loUFBTwpz/9ieLiYkpKSrj22mvj/vfo7rvv5s9//jMnTpygrKyMZ555hqVLlwJje63Qv2/9wIED1NbWatsCNm3ahNVq5T//8z+prq7md7/73aCmbrHn1dTUUFxcTHt7O4EB00hirrvuOsxmM5/61Kc4evQoL774Irfddhuf+MQntOXtFyoJ6EIIEWfxfgMeCoVQVZXTp0+zfv165s+fH/dzTLSCHhvv9vbbb1NQUMDKlSvPCMKJCugjVbojkQilpaWcPHmS9evXM2fOnHF9vcayB93X001DZX/n9iSrFUVR0On1GM2W/tcbChHy9xEM+AkGQ0SCQZLTMwkEg9TV19N4+jTurm46Ojq0Dv1Gs5ktH/8UF13/GRZfchlZazZy2b/+O7OXrxp0bqtex79ku7g5x8WVqcnsTE/hC7NS+WDq6J3NZ6qJXnM4GKG3o3/5usHY/3ZGp1fQJ0fp6OjC4+1Dr9eTlZPBqg1LuGjbJi66aCuzZs0iHA7T3NzMq6++SmlpKQ0NDVp340SaziXukx1zNhnRaBRVVYe9SWaxWMjNzWXFihVcdNFFFBYW4nA4aGtr4+DBg3z4wx/m+uuvJyMjY9JLkZ944gnuuOMO/uu//ou3336b1atXc8UVV2h7dofy+XzMnz+f7373u+fN/OaF6zIp+ueF6A3v/iyYbUY+ePMqnJnjm20/Xs899xw5OTmD/rnooovQ6XQ8+eST9PX1sXHjRj772c9y7733Dnqu0Wjkscce49ixY6xatYrvfe97fOtb3xr0mEWLFvG3v/2NkpISNm7cyJYtW/jzn/+MwWBAp9Px+OOP89Zbb7FixQq+8IUv8P3vf3/Q8w0GAw899BD/7//9P3Jzc/nwhz887Ov47ne/y86dO/nEJz7B2rVrOXHiBM8///y4GqH+4Ac/wOVyUVRUxFVXXcUVV1zB2rVrx/z8sTCZTNx5552sWrWKiy++GL1ez+OPPw6M/bV+6UtfQq/Xs2zZMjIyMqirqyM1NZXf/OY3/OUvf2HlypU89thj3HPPPYOet3PnTrZv38573/teMjIyeOyxx844ttVq5fnnn6ezs5MNGzbwkY98hEsvvZSHH344rl+Hc5GixnOjpBBCCEKhUNwCaWzvpt/vZ+XKlVqjmXh7++23SU1NHdTl9WwG7oVfs2bNiOPdqqur8Xq9g5rZxIPH42H//v28//3v1z7W19fH4cOH0el0FBYWYjabRznC8N5++23S0tKYO3fuiI9xNzXwj90/wWJ3YHyn4ZWvpxt3UwPRaJTU3Nl0NJ7G39uDGomgNxjJWbyUnEVLiYSCtNXX45i/EMWVgd/v1zpep6WlYbPZ6O7u5vW3j2KZtYSmngAOs4FlOXbmp4/vDXQwqnKgt48yXwCDorAu2UyhLWnYUFxZWYler5/wHtGJaGhooK2tjcLVq9F1d6Pr7QFFIeJ0oZ6lWhrsC1NzuAOT1YDBpCcUDdAYqqMn1EO4S8GxXCU/PZ85pjNvaJWWlpKSkoLL5dK6w3d3d2M2m7XO8GPZGx3yRwgHo5is+kGBZySNjY20tLSwZs2as39x4izW3GrJkiVnf3CchUIhXn31VS6++OKzfk0HikQiPPvsszz77LM8/fTT9PX1sXr1at7//vezc+dONm7cOK7r2LRpExs2bNACQDQaJS8vj9tuu42vfvWroz43Pz+f22+/fULjv+LF7/dTU1PDvHnzJvS3baCAL0RTdTd6o47chc4x/fwKca6J5+/MVJImcUIIMQOpqkp9fT2VlZXMnz+f5ubmhFa/xlvl7u3t5fDhw1itVoqKikZdbj9VS9w7OjooLi4mOzubpUuXTmrm89nuXducqSTZkgl4PVpAT7Ilo+h0qKEQPV1uAj4fRlMSuneqhq3VVfR1d5E+N5+8ZctZXHQJRrMZn89HZ2cnHR0d1NTUYDQa8SlWXjodxexpJ9li5EQoytGmXi5fmsHavLHNue+LRPne6Q4O9PYRfufl/Lmjl39KS+azWc4ZU21XAGPVcfTNTSjhCKBiMJkIz80nPDuP4TbMBqIq1ZEwh8xR+vr6mKczEg3VEo660feZSTLriSR5qA6UY1AMzDINvtkSq2QPnO0dDofp6uqio6ODqqoq/H4/DodDa2Zmt9u1r1koGKHxWDcdDT4iwSgmm56cBSlk5J9lPvsF0CRupHMD4z6/Xq/nn/7pn1izZg2PPfYY9fX1vPLKK/z973/n9ddfH1dADwaDvPXWW9x5553ax3Q6HZdddhn79+8f13WdD5KsRvJXpk/3ZQghhiEBXQgh4myywSccDnP06FHcbrc2Eqy9vT3uc8oHGs8c9IaGBsrLy5k3bx4LFiw46+uN9wi3mFiQjkajnDp1ihMnTrB06VJmz54dl+OOpKuliaN7n6ej/lT/fvGOdpw5uUSCQYxJZrBY8bW1YjSZsNiSsTld6E0mejraiEYiFGx6D9kFi9G9U0kcOkLM7Xbz6/219ASiWHubUUNmXDYrnrCRV090sijTRnLS2f/z/bcuL/t7+0g36LHq+0OhOxzh6Q4P65MtrEme/mqCqqo4vF707k5Usxk1OQlUFaWvD0NtLRGHEzUlZdBzwqrKwV4flX1BFIcRf2uYfZ5e9NEIKwI2jKoey5woFnMyvZEe6gLV6NETIYJFZ8WhT0VV1TN+bg0GA+np6aSn94eWgbPXT506hU6nIzU1FZfLRc8phc56P2a7kaRkAwFvmJOHO1B0ChlzR678T3eTuPFUr+Mptrx+on8bvV6vthT+2muv5dprrx33MWJ/Q4fubc3KyuLYsWMTui4hhEgECehCCDGDxCrTFouFoqIibV5wokJuzFiaxA2cJV5YWKh11Y3HsSciFnSOHDlCV1dX3EbOjVbx72pu5C8/vA9vlxud3gAoeDo7CPr7SJ87H0t+Abm5s2l4/R9YU1IwWawoig5VjZKcmk5flxujxayF8+HObbQ58OttOM1e5s2bg8/nw+v1EvC6qW9SeM3cQ+G8LFJTU0ddufBajw8daOEcwGXQU+sP8ZbHPyMCOkBKnw9Fr0eNzcZWFFSLBV1XF/rODsJDAnpzMMyJvhA5JgNms4k+k56mdj9lPj1ddj2ZmSFMabEbLCrt4RYiagS9ogdFwaVPJUzorGHRYrEwa9YsZs2aRTQapaenpz+sVzXQWBrAbDNiN9qw6axYnRa87iAtJ3tJy7Oh0w1/7Au1Sdxk97/HOrjPlFUfQgiRSBLQhRBiBog1gTt27NiwlWmDwZDQgH62GwCxvd2KooxplvjQYycioPv9fu1/t2zZot3MmKzRKuhHXvgr3i431pQUFJ0OSCYUCBLweYmmZbLy4veRneqi/e03UKMqivJuKAkH/OiNJsz2lGGPHaNX+ld1R9X+xkgOhwOHw0EgFCHS2oM5yUB9fT3l5eXY7XbS0tJIS0vDbrcPCkHBqIpuhEATniHtZ1RVJSkYBFR0oRCq0YBqsYLJ1L/2PXLmz01XOEpEVTG/81otdhPpFispnha8Rj1Jjv7XFiWKJ9qNgh6XPq3/Z1wN0xluJ5Skoihj71it0+lwOp39/yRlE21uwpii4vN6aW5pIRqJYNKb8fosdHdacaalDBsmp3uJ+3QG9Mksr4/HiLX09HT0ej0tLS2DPt7S0nLeNIATQpwfJKALIcQ0C4fDlJeX097eri1pH2o8S9AnQq/Xa93Eh2pra+PIkSMT3tudiIDe1tZGSUkJAGvWrIlbOIfRA/rpiqPojYZ3wjmoKqhK//fQYdBTUFAAwKylyzn51kEUnQ6j2UKwz0dfTw/5heuwp2UQDgQ48rdnqXrjVUKBAHkrVlP4gQ/jyMrGlmRgfqqZ6tMQjkQx6Pu7yjf1BMhLt7NlVR5JBh3BYJCOjg46Ozs5cuQIqqpq+6XT0tLYYLdQ7gsSVlUM74RFXySKQYHl1vh9vcZK8fnQdXej+PtQTSaiKQ6sXV1YAgF00QiqMYziB3x9RB0pqIqCarefcRy9AkN/muz6FIw6GxGlg2AU9IoBT7SbiBohy5itdeYPd+mJei309nWiOiZ2k8KYpMOQZMCSZMRut6OqKqFgkM6WXgKhPl79v1L6mo3oVANZC22sfl8ejvT+cDmdFfTp7uI+mYDu8XgmXUE3mUysW7eOvXv3smPHDu269u7dy6233jrh405GbW0t8+bNO+Pjl1xyCS+99NLUX5AQYkaQgC6EEHE2njeRvb29FBcXYzKZKCoqGrHLaKID+nAVdFVVqa6upqamhmXLljFr1qwJHzteAT021u3kyZMsW7aM0tLSuBx3oNHmoBuMJtSo+s619FfvI5FIf6Xb5dQet/aDO4iEQzQdP0Zfbw8Gk4m85atYvf2fiIbDPPuDb9N6skq7EXB83yvUvHWAHXfdizM7h835DkqroKajDxVAhbRkI5cuTifpnW7LJpNJG1Wkqiq9vb10dHTQ2NhIZWUlWbZkcpJcnOqLYNHridIfbLfYLWyyj30FRDwoXi/6pkaUUAjVYEQJeDD0dONsaiBk0BM1mFGCAdDpIeBH3xEilD+PyDA3q7KMBlL0OlqDYTKMehRFwROFLOMs5pijhGgloPrRocOmS8GhcxEJqHSURPE2qYSCevwhG/U5HtIdYZKs43srZEtNwpFhprPRR7IrCb1JRySoI8lowdcOXfWx4B+l9s0e6kqOMv/9OrLyUvH7/dPaqO1craD7fL5JV9AB7rjjDj71qU+xfv16Nm7cyIMPPojX6+XGG28E4JOf/CSzZs3iO9/5DtDfWK68vFz7/w0NDRQXF5OcnByXaQd5eXk0NTVp/97c3Mxll13GxRdfPOljCyHOXRLQhRBimsSarc2dO5eFCxeO+uZ5KiroA0NpMBjkyJEj+Hw+Nm/ejH2YSuZYxSugh8Nhjhw5Qm9vL5s2bcJut1NaWhr36vxoFfQFGzZz+C9/JhQMEnpnxYEuGiYajRLw+ehuacaRlU2SzcbWj32K7pYmvF1uzPYUrKn9S2xPHNxHS/XxQcdVo1FCgQBv/9//8r6bbsVlNfKeXMhclE2XL4TFqGdBhpU02/B7zhVF0TqSz5s3j1AoRGdnJ//W3sELPX4qFSNWk5Gtdis70m2YRtgjPfiiVJTeHvQdHSihMNHkZCIZ6WAced/7SMfRdXZCOEx0wPJ+pbMDk9+PLymJSFo6Ok8vSl8f6JJQTUmE8ufBMKEu1ahnvd3C254+av0hUMCs07E22c4a2xr8qpeQGkKn6KjylxHAj7ciid5aFaMTVEcQQ6dCT1OYmuIOlhRlnXGO0eh0CvmFaeh0Cl2tfUS7VYxmPUk2Ix31HUNeu4IaVvCdsuLP8NPW1oaqqgSDQW21g9Wa2NnTMdMd0Cdzbo/HQ/JZxu6Nxa5du2hra+Puu+/Wemk899xzWuO4urq6QdfZ2Ng4aCTe/fffz/333x+3Crder9eW1/v9fnbs2MGWLVvOmCkthLiwSEAXQogpFolEKC8vp7W1dczN1vR6PYFAIGHXNLCC3t3dzeHDh0lJSWHLli0YjcZJH3uyIdrj8XD48GHMZjNbtmzRmqONZSTaeMWWQw9n5aVXcOpoCS3VVQCokTDRcBid3kDp35+j7KUXWP9PH2HtBz+Moig4s3NxZucSiUQIhUIAnD5a0j+ObcjXRI1GqSs9rL0uk05l9azR96uPxGg0kpWVRVZWFltUFY/H884ot3aKD1ZjsVi0pfBOpxO9Xn/Gyg99UxPGk9UowSDoFFAh0uwgtGw56njmyYbDKH4/atI7z4mE0Xe60be3QV8ftkgU0iDqSgUXEAygC0f696GPYKHFRKZRT0soQlRVSTPqSTP0vwYb795MyjLM4lRPLZ2nVfTJCmFTFINiwqxGsaTo6Wrqw9cdxOoY300Hs81AweYMfN1BwsEoSTYjbz9bj6IDdciPuhqF9uoAl31qLceOHSMajWKz2Whra6OqqoqkpCRt9rrL5UpYp/XpHLM2E/agx9x6660jLmkfGrrz8/Pj/vdlJJ/+9Kfp7e3lhRdemLYbKUKImUECuhBCxNloS9w9Hg/FxcUYjUa2bt064pL2oaZqD3p9fT3Hjh1jwYIFzJs3Ly77ZScb0FtaWigtLSUvL49FixYNuqZE7G8faYm7qqo0trRiK9zE2sL1tJaVUH+0BIMpCYPZjAKEgwEOPfUHsuYvZNaS5YOeG3ujrzOMfMNDP8rnJsoTiVIc1YMzg8JZs7Gg4na76ejo4NixY4RCIZxOJ5FIBKvV2t/ILBDAUFsDqESdzne61kXRd3URPV1PeGHB2C9AUUCnoESjqNEohtOn0Xd39+8xVxSswQBKWyuRjEwwGND5+oikp5/1JkCKQU+KYfTQN8s0FxQTPeFm9MkRLHoLNn0yLdFWDCY94b4oocDEfq8URcHmHLCXf5RflYE/s2azmblz5zJ37lwikQhut5vOzk6qq6vp6+sjJSVFu3kycPb6ZE33iLeZEtBnom9961s8//zzHDx4cFKrlYQQ5wcJ6EIIMUUaGxspKytjzpw5FBQUjOvNcqIDuqIoeL1eqqqqRmxUN1ETDdGqqnLixAlqa2tZuXLlsJ2WpyqgR6NRysrKaG9vZ+OmzbhcLp4+WoxOr8c0oKO9wZREyO+n6o3XBwX0gRZs2MyxV/aeeV6djvnrN9FcdYz2htP0nDpF1+JFOLKyJxTSOkJhHmvr4cmOXnwRFQVwGnR8LjeVKzMyyMjIQFVVfD4fHR0d1NfX093djdvtJt9oZHZvD/q09Hc7wet0qElJ6NvbCc9fAGP9+TUYUJPt6Dra+xvF9fQQNSehRKIELFaUYACL1wu0olqtRJPthOfm9wf7SVIUheyULFrsEUKBCDZbf6BWVZVgXxSL2YQ5+d2bIhE1TG+kG0+0B9CRrLNj1zv6R7SdxZwVLk4cbD/zGnQwd5ULOLNJnF6vHzR73e/3v7PSof/7AWhL4VNTU8d8Q284073EfbJ70OOxxH0m+t///V+++c1v8te//pUFCxZM9+VMuW3btlFYWMiDDz4I9K9auP3227n99tun9bqEmE4S0IUQIsEikQgVFRW0tLSwevVqMjMzx32MRAb0WDCPRCJcfPHFkwoBw5lIiA6FQpSUlJx1D3wilrgPPabf7+fw4f6l51u2bNG+Pn093f0zu6NRIrH96AYDqhrF7+kZ8fi5S5az5D3v49ir/+hf6q6qoKqkZGRhMls48rdnCYfC9Lg7OfyMn/kbtjB39doxX39EVXm8rYc/tvdS2RdABayKQppRT3ckyv2nO8hLMrDKZu6vAtts2Gw2bWxdWloawZqT+Hw+uvtOk2Q2Y7ZYsJjN9C8E77/e8YikpkIohOFULUoo1B/aDQYCVithk4kkVFSjiVDBIiJp6RDHrvwGk57sAjs1hzvxdAYwWfSEfBBSo+Qvt2tN4iJqhObQabojXejpD5M9ETfOaCrZxlno3gnpvu4gx99opamqF71RIW+5i4Ub0pm12MGclS7qSt391XQVUCDJasCWaqL8lWa6/GGS8ke+VrPZTG5uLrm5uaiqqs1eb2pqorKyEovFoi2Hj21NGKvp7OI+U/agzzRHjx7lk5/8JF/5yldYvnw5zc3NQH8DyNTU1Gm+uvi64YYb+NWvfnXGxw8cOMDSpUun4YqEmLkkoAshRJwNrJB5vV6Ki4vR6XTjnh8+UKICemz5eFpaGj09PXEP53D2GetD9fb2cvjwYWw221n3wCeigq7T6fAEI5Q19uDzenCfOkZ2ZjrLly8fFIiyFy6m43QdfZ7ed5+squj0ejLyR66EKYrCez75WfLXrOfEwX2Eg0FmLV2OyWKj+s39ODKzQVHwqqDo9dS8dYC02XNITksf0/U/7/byx/Ye2kMRFMAEBFToCEfJNeppC0f5S6eHVbYzv9c6nY60tDQUi4WkQIDkSBgfCn1+P91uN45IBG9GBpGODlwu19j7ExiNRHJz0Xm96Dweosk2MJqI9vYS1enAaCSamkokd2KTAs4mt8CBTq+j+UQPAV8YnUElb4WdvGVO7TGeSA/dkS6SdXYtjEfUMN1hN3a9A7vegbcryEu/qsLTGUDR9+/Ldzf10fL/s/fmgXGc9f3/65mZvU9pdd+S7/tI4lgmIQFCE642NL9wFCiBcjVQzvCFAA1H+BL4QoBAjxTKUUq5obQ0JRwhIYnjOHZs+ZIsyZIl2bq1Wkl7787M8/tjvWvJkm3JkuKEzKtVG8/OPvPM7Kw07+fz+bw/3VGu/asmXvjGFZw8GObEU6MkYzqqJlA1hbHeOHa3xvhoFiOaoqbm4u7xQggCgQCBQKBg/JdPh29vbyedThMMBgvRda/Xe8FMi+d6ivtSZvU8W9i/fz+JRILPfvazfPazny1s/1Nts3bTTTfxne98Z8a20tLSy+aNYGHxbMUS6BYWFhbLxODgIMeOHaOmpobVq1cv6uF4qQW6aZp0dnbS19fHxo0bcTqdtLS0LNn408k/fM1HIAwODnL06FEaGhpYuXLlRVO7l1qgSyk5MJDkj10xUkfaiE1N0VQR5E0bGmY9RNZu2MzRhx7MRZOnzVOaEpfvwuZuQgjKV6yifMUqHJ5cZPDJn/4HdqcTzW5Hz2YBgTtYRKT/FJHB0/MS6KaU/CYSQxWC/P+oikABMqYkKUEgGczM3fO+cA5uN3ptLVpPD37DwO9wgKaStNkZDoUYOnmSY8eOLaheWiQTmA470m5D6AbSnttX1XWkpmLMwyzxUhGKoHKln7IGL3rGZP/TA5Sv9KKoZ+/HhBlDQSmIc8j1U0dA0kjgUwN07h0hNp7G4bWhnHHCN7ImIyej9B+fpG5jEaX1XqLhNNGxJJHBFKZukk7quAN27H6Ij+uMnIxSu6FoQedgs9koKyujrKwMKSXJZJLx8XHGx8fp6elBVdUZ6fD2c0z2LneK+7nzWQjxePxPMoJ+2223cdttt12WYydjUfrbjqHZbNRs2Iy2SDPQ+eBwOGaVKp2b4n4uQgjuv/9+fvWrX/GHP/yB+vp6vv3tb1NaWsrb3vY29u3bx5YtW/j3f//352WJgMWfJpZAt7CwsFhi8i7tAwMDbNq0qdDCZzEspUBPp9McOnSIdDpNc3MzXq+XqampJY9E58mLggsJBNM06ejo4PTp0wsqA7hQz/JLoW0oykPdUVKpNAEtRX19GeG04MdP9/Oe6x2UeM+mXo/2nsTmdGKaEiOTc9i3uVwgFHoPHWD9dS+Z8xjhU73s/dkPGD6Ra7VWvnI1O255PaZhIISSPzFUaaJMTCImJlG6u1FLK3JGahcQWWlTEtFNPIqCRzUJ6/LM+kFOTOqmiQk0OS/+MK7X1mF6vDm39UwG6Q+glJdT73RSz8x66Xx7qrxYnyEQs1kcBw+gDfSDYeRSvzUNM53CkU6jSzCqqjHKZ3sMLDWqpqBqClKYsxYTFOa+rhJZ2HewM4pQRUGcA6g2hUzSyInu9UEGOibJJHRsTg1FE3gCdtIJnamxFDjBZlcYH0gsWKBPRwiB2+3G7XZTU1ODaZpMTk4yPj7OqVOnaG1txev1Fj6PQCBw2V3cF7M4kEgkLPO0JWTvL3/KEz/9D8wzpTlOj5eb3v1BVlyx4zLPbG7uvvtuvvzlL/PlL3+Zj3zkI/zVX/0VTU1N3HnnndTV1fHWt76V97znPfz617++3FO1sFgSLIFuYWFhscQYhkEqlWLXrl1L1uN4qQR6JBKhpaWFoqIitm/fXmjptNA09IUwXaDPRSaTmbFgsBC35gu1RFsok8ksvz02RHgyQbXbpKa2FrvNhs8r6RyJc2wgynWrzwr0VHQKoaj4i4tyLdMECKGQikVJTE7MeYyp0RH+9yv3kEkkEGeit4Ptbfz6q59ny8v+nKmRYdzBIoSuE8pkyA4NYAdCJthaj6FUT5Jdtfq8BmpORVBpV+lMZql22BjM6KSlREViSoiZkhKbyp+HZoqdsViGkbhBuXfauEJghkKY50ktnl4vbZomU1NTBXOz1tZWfD4foVCIpsEBtMEBpKblWqcZBsqZlnPjZRXENJX61WuWxBRuvkgpZwl0j+ojYoTJmhlsSm5xIWOmUVHxKLnorWrLpbWfOxbkxH86qZOYyOAK2ElMZArG7nanSjphYCoSVctF9JcSRVEoKiqiqKiIFStWkMlkCtH1Y8eOYRgGUkqGhoYoKyvD7XYvmTv8fHg2tVl7vnP8iUd5/Icza8FT8Tj/fe//5bZ7/4miyuUpMwH4n//5nxmZEC972cvm9b63vOUtvOY1rwHgIx/5CM3Nzfz93/89N954IwDve9/7eMtb3rL0E7awuExYAt3CwsJiiXE4HGzfPn9Tr/mQb4N2qUgp6e3tpbOzk1WrVlFfXz/LTdo0zTmFy2K5kEDP91wPBAJs27ZtwT2glyLFPaObPNw+yu7OEf7YPkzWhKzUKDcFdii4mEfTM69/cXVtIYKfP0cpJYZhEKhr4NGJGAnDpM5pZ5Ujd15tf/w9mWQC1W4vXGepSjLJJFMjQxRVVRMZOI2WTqNHJ9HdHhobV+KvqUVmMqiDAxhl5bnWZ3MghODlxV7+YSDCpG6w2mWnO5UlbpjYFcF6t533VRXT6MwJ0M6ROJ99sJOW01MgodKn8XER4tqVCzOoUlNJSiYilEoTs76epN9POBIhOjyMevoUaQlSKKgIVE3DFAIlGiVZUUXKZnvGxXlWyxCRY2SySbyqH6fiwiFc+JQAUWOSpJkAQBMaIa0Ml5ITh7UbiogMJjF0MxeJlxI9baJogqo1AYQQOZNBU+Ly2XLR9ZSBZlNAgGlITKCkZnnFpt1up6KigoqKioLZ3NNPP00kEqG3t7dgQpbvvT5vL4FLZLEC/U/VJO5ycOCB/5rDXDPXBvLwQ7/huje+ddmO/aIXvYh//ud/Lvzb4/Hw+te//qLv27x5c+G/8xlpmzZtmrEtlUoxNTWF33/h8iILi+cClkC3sLCwWAaW2l18MQJa13WOHj1KJBLhyiuvpKhodmrt9DrxpU6DzYuWc4V0f38/ra2ti+q5vhTX+fETYX55oI/h8AQOm0YiJemPGuw9GWFHYxFOTUEIKPHOrKFdefUuWh99iKnREWyOnCN6NpVEuNw80LiZ3lNjIMGhCK70OnlLqZeR7hMzUs6nn0Ok/zQvvf0DDHa0MfnkE+goNK7dQEV5ZW5/hwORTKBMTp5XoAO80O8maUr+OxwlnDVY47TR5LLzlyU+tnichQWHsViGt37/ENFpfcAHojrv/ekxvvOmLWytmd+Drtp/GntbKyKdBnI9z7XSMuxbtlJtt+HsPoGhqBjSJKtnSWfSKAgcSIhFkcFLT/WejpSSRyYTPDQRZzhr0OCw8bJiL9u9Z83wTGkykOkjFhxn0FTR0jY0oSGAhBnHkAZ2YafIVkKxWoZDceAWZ83XVl5VwnDXFCM9MdJmzoRP0QQrryyhrDG3n7/UweipOIEyF8EKF5HBBNHJDKpDQTehYqWTssZnTmzm0+EBtmzZAsDExATj4+OcPOMl4PP5ZngJLHWt+mJ+r+RbAVoR9KVhYnhwzt+Z0pRMDg8t67E9Hg8rV65c8PumLyDlv4tzbVuuMi0Li2caS6BbWFhYPAdQVRUp5YIFeiwW4+DBgzgcDnbt2oXjPO2r8g/ki410nY/pkW7TNDl+/DiDg4Ns27at0AN6seNeCvG0zu8PnSQ8PonP56PK46Stf5JY2mQsnuHY4BQ+p41VpV42Vs0UrC6fnxtv/wBP/edPGehoRUqT0IpV7N52HX1F5TQ4bWhCENUNHp1KUKkJigLBOYPFQoDLH8Dp9dG4fQda1mDi9GlsFVX8HAdhKdiKTjPARdKjhRDcVOTl+oCboYyOR1Uotc3+c//zlkGiqTPt4YRAIgvp29/Zc4r7bp27j/uMYyUS2NvaQNcxff7ciehZ1OEhbL096BWVICVqOoWmKNhFrpe6YRhIw2AoFieaTJHJZAoC8VI7HfxsbIofjUYxAbcieCqa5Ggize2VRVwbyAnUSWOcEX0AYSj4lSCaYqMv20XcjOJTAmRlhlEzRl+mGykkWZnBJuysdm5ko+sKbA6Va9+wgtNtE4z2xFA1hao1gYI4B6haHSQdN5gazrWt8wTteIoclNR6GIn1UrfNj2Z/ZmvB8+UriqIghCAUChVc0dPpNOFwmPHxcfr7+5FSUlRUVIiwX+rnce7xFyP64/G4VYO+RIRqauk/3oaUM39vCkVQXF1zmWZlYWExHUugW1hYWDwHyItmXdfn7Yacd0Svq6tj1apVF3xAnh5BXw7yQjqdTtPS0oKu6zQ3Ny+6Rn8xAl3XdfYeOMRwJIovEMTnduC0qdQXOTg1rpMwJdGUzguaQtyyvRqvY/afzGBFFX/2t+8jFY9hGgb7DYXuU2Hq7BrDfVGGTkXJpA3UoJ3fNBp8vPkaeg89jZ7NoGq5CJChZxFCsHrXCwvjGqVl7Bud4AMySFzkXNhNBFd5HXzDF2A+8VenotDgPP+90jYUw5SgKtOj+WCYkqOD0fO+bzrq6CginTorzgE0G1LTUPtPQzYLioIw5ZkzMBF6FkVRydbWECgpw5lO4/P5GBkZobOzE5fLVRDr8+31Hc4a/M94HIciKLPnPqdSoC+V5edjU+z0ubApggljHBAohgJCkJQJMjKFikrcjGJIA1NKMqQLixVZmeFY8gBRY4JrfH+Gogpq1tupXudFCBuKMrO9mctvY9XOUiaGk2QSBppDIVjuwuHWmHqyB9szLM7hrEHjXIt7DodjRu/1aDTK+Pg4w8PDdHR0FD6PfO/1hZahwNLUoC+Vn8fznStf9Zecbrt75kYhUFWNzS+56fJMysLCYgaWQLewsLBYBpYjxR2Yl5GbaZq0t7fT39/P5s2b5+Uin09DX06juImJCbq6uiguLmbjxo1LEqm/1OucSCQ4cOAANtVGU20VHSPxgnjxOTVKXQKbx8vGKh83b62i3D935kEe55lWaclwFFOanDg8Sn9Prq5bKILsRIroUILEX65j68v+gpYHf4WRzeTOQVHZetOrqN20tTDeWGk57y0zSCMAQX4J4mnVwT2RNP83uOBTnkWJ146qiFlZGUJAmXeeLbEMnTPueDO3CwWRTqMOD2OUlKJEp1BisVxLOsB0u0lvvwL6TuG02WgoCtJQXEzW4SAyOUk4HKa9vZ1MJkMwGCw4w5/P3OxkKsOEYVDnmFlLHbKpDGZ1hrI6tQ4bhtRRUAqd8TIyjZQSExNdZnEKN5NyfM5T7ct0E8kO49Sn0PVxpNQRQkNVgzidjSjK2Wtmc6iU1s1eRjHN2e7xzwTzbbEmhMDv9+P3+2loaEDX9ULv9c7OTlKpFIFAoLCAcrHe69OPv1iBbkXQl4YVV1zNDW97N4/+x3fIJHNeC/5QKTe9+wP4S+fXPcPCwmJ5sQS6hYWFxXMAIcS8nNZTqRQtLS0YhrFgR/R8nftykE9rX7169SyDusVwKRH0cDhMS0sLlZWVrF27Fr0jTPtonJGpNOV+O7G0QSwL6/wOVpZ6KfbM30Cr3mlDxnT6e6fQbEouWirBNAzMpM5/tQxz56v+kpVXv4C+oy0A1G3cir9s5iLKbxJZUkLJCfykjtQUsCuYwH+OR7mrvgTHIuuEX72lgp8eGERKUMi1Y5MAAl5zRdW8xjADAVCVXKQ8XxMqJSKTwSwKIlIpTI8Hw+XCKCpG6FmkaSIUFRB4olMUhcM4RoYAgc3rxd60gtK1awu1x/lWbl1dXdjt9oJYLyoqKkRzHYpAE4KslKjT7q2slGgInGeyBLxKgAl9/EzrNAVVqEgkhmnkFnswc6n+52EieZxiqaKqXlTVh2lm0fVR0mkFl2vVrP2lKRnrizN8MooQkIwtvQnjfLjUHuiaplFaWkrpmR71+d7r4XCY3t7eQmu9/M/5SmgWE0HPZDLoum4J9CVky0tfxvrrXsxwVyeazU5500rEEvsOnMt3v/vdObc/8sgjM/7d09Mz49/nLsA2NDTM2nb99dcv6YK4hcXlxhLoFhYWFs8RLtZqLRwOc+jQIUpKStiwYcOCH4iXo9WaaZq0trai6zqrVq2ioaFhScdfiECXUtLX10dHRwdr166ltrYWgGtWhYgkszxwZIhTkRQqJkVOWFvuY1O1H6dt/tdxjdtBRdyky5AIhwBTokuJTVHwOwUHTk2SNUz8ZeVsfPGN5x1nLKOj9cZQu6OIbE4ymmVOsuuDZB0qMcNctEDfUOnjEzet4p7fnkA3cw+3QsDrrqji5s0Xz7oAMIuK0csrcm3UMmlQVEQmg3S7yNbUYu/qAtMEVQWbDWmzIRIJUFWUWIySkWEUCaarCKREmZzE1n6czOYt4HTi8XjweDzU1tZiGAYTExMFsZ5MJgkEAoRCIWqKi6mza3SlstQ7bahCkDElY1mDa/2uQg1+sVbChD6G4TxN0oyDAoIzzuv51YnzoEqwmRlUrbgQLVcUG+BB1yMYRgJVPZuGbZqSAw+coudwBFPP3aNZw0aHHOeqVwSWvNXahbhUgX4uLpeL6upqqqurC6318rXrbW1thd7rxcXFBAKBGZk/l3r8WCwGYLm4LzE2u4OadRsv9zQsLCzmwBLoFhYWFsvAckTJzifQpZScPHmSrq4u1q5dS01NzSUdf6kj6KlUioMHDwIUhNZSM98U9/xCwcjIyCwne5uq8JfbqriqPkjrYJThsQiZyQw3bSynMuC8wKhzz+fFIR8t6kiujzjg01RCmkoymUVTRMFF/UJMnIyitU+dHRdQRlPY948RvK6SIm1p6phv3V7Ji1aHePREmNMDw2ytdPLCbQtwWVYUMps2YwaCaAOnEZksenk5ekMjpteLOTKMMjWF6fWBkou0i2yGbHUN6tgYqmGQdntwn4mEm4EAyuQESngM4xzDKlVVZ5ibJZPJgrlZT08POzQHI65iOlNZBAqKIljjtfPX5cHCGHbFQZ1tJd1Tvdhr7GiqjXXaVgazpxjJDpCSCVRUDGZ/z5xCw6d6EGJmRoUQNqRMIeXMNnynjkY42TKOZlNwuHPv0Scy9LZMUrNmiqrVgflf50WyWJO2uVAUhWAwSDAYpKmpiWw2W+i93tbWRjabJRgMUlRUhJRy0QLdqkG3sLB4vmAJdAsLC4vnCJqmzRLo2WyWI0eOMDU1xY4dOwgELv2h/2IR+oUwPj5OS0sLZWVlrFu3jn379i1L+vx8IujpdJqDBw9imia7du3C6ZxbdNcWu6ktdjM6qnD8+OiCxXmeFzQV8/0n+8gaJsWeXJ13RjcJZwxuWl86w5RtLgxT8ocDw7O2CwkipvMyQ5uXyJ8vJV47f7m1kg539NJElKahNzWhNzXNeimzZh32421n6s9NpKqhl1ei19djP3oEQ5xzPCFyaf2pFBhGLvJ+HlwuFzU1NdTU1GCaJuGxcYqfHGLfVJwpASFDsEmo6FJFriotLFrZhQNnzMsa5+ZCiny9YwXd6Q76Mz2kzRQTRhgDA0HO3V5BZYf3BjQ9gmmmUNWz0VzTTCGEHUWZeb+cap1ASonNefYchCYxDcnptslnVKAvVQT9QthsNsrLyykvL59RnjA2NgbA/v37C+UJxcXF8+69nm+xttzzt7CwsHi2YAl0CwsLi+cI5wroaDTKwYMHcbvd7Nq1a97u7udjKVLcpZT09vbS2dnJmjVrqK2tLdTPXw6BPjk5yYEDBwiFQvNO+1cUZVH1jDVFLt6yq55v7e5lYDKFNCV6NkuFy2CtNkZPD+c12MqYko6JJOF4du65CShNPnd6/Uq/n/T2K1AiEUQ2i/S4Mf0BEALpdqOaJvr0a63riFQS7fQp1HAYMxBAr6pGXqT+WFEU0mENx4STG4v8KJokEU8QGU6w//cn6D7dTkn52T7fMDPLRRUaq5zrqbevYNKIoEudqDFBzIziVtw0OFbjVFykcZBOn8QwoghhR8osUmax2+tmmMQBZNM5gT8X2fTymDGej2dCoE9HCFHImikrK2P37t2sXbuWiYkJent7C73X84Ld7/efd36xWAyPx3NZavctLCwsLgeWQLewsLBYBpbjYXK6gO7v76e1tZXGxkZWrFixJMdbbIq7YRgcO3aMcDg8K418uQS6EOK84w4MDHDs2DFWrlxJQ0PDea9ROJbh+HCUSDxLkcdGuUNftOHQX26rYn2lj98fHeBE32nWlHt51ZUr0JOxgsHW9JTtoqIi/hjL8IvwFMOpLEIBOcdpmRJK5+uwPg+MTIZ0bAohFKRp5tLQlxpNwzxjMjbj2OUV6F1dONNp0LNgmGgjw2CaubZtUsLAANnBfoxQCM3nRy0uAZ9vlmu8lJLh7iiqHVK2KAkjBi4INHgwxrzUlPrBmeDUqVNEo7kWcidPnqSkpGSGOLQrDkqVCgAqmd0T2m6vQAiFbHYI08ygKHZstlpsttk1+2X1XkZ7YpimRDmTNSHN3D1bWrf05R4X4pkW6NMxjJwBX0lJCSUlJUAuqyWfDn/kyBFM05zRe316Ons8Hl+y8ph//Md/5Itf/CJDQ0Ns2bKFr3/96+zYseO8+//0pz/l7//+7+np6WHVqlV84Qtf4OUvf/mSzMXCwsLifFgC3cLCwuI5gqZpZLNZjh07xtDQEFu3bi24Ky8Fi4mgJxIJDh48iKqqNDc3z0ojX84I+rlzllLS3t7O6dOnL3qNesIJftkyyEg0jU0RZE2Jz2bSeE4NciJj8JOn+/lN6zCprMkLmop5w9W1F0yDDxJnjezj5devoL6+nmw2i1Lkp6qqCtM0C4ZnJ0+e5MfHu3jAXYyqaoScNorqfYyfnNmLXBHgsqn82brFf+ZSSqKDp5no60VPpxBCoGd1RGnFosdGSpSpKZSpKaQQmMEg0uOZJarNQIDh0lJKp6ZwJ1OQyQCCTFkZptNFJpthMhklm0wgJ8ZRnE68bi+++ibMuroZ40kJ2YzOlIiQzUYRZ1LnEzKOYnqwO0qoXVHJihUriEaj7Nu3j3Q6zZEjR5BSUlRUVIjmnq8EAnLi2m4vx2YrPdNmTUWIubMymraX0Hc0QjScRtEUQGJmBP4aJ/Wbixd9mRfCYtucLfWxHQ4HlZWVVFZWIqUkFsstXI2MjNDZ2YnT6SQYDHLo0CEURTlve72F8OMf/5gPfvCD3H///Vx99dV89atf5cYbb6S9vZ2ystntxZ544gle//rXc8899/DKV76SH/zgB9x8880cOHCAjRstczULC4vlwxLoFhYWFs8henp6sNvt7Nq1C5fLtaRjX2oEfWxsjEOHDhXals0VqVtOgZ7Nnk0Hz2aztLS0kEqlLtpmzjAlfzg+SjieZnWZp2A4d3xggsNxk1tNWagf/+BPj7CvNwLkRNoP9p3mDx1jfPONW6kOzvwcpJR0d3fT3d1d6EN/7rlPb08lpeTHJwYR8RTFRpbMZILyehvJCY1kREeQa3/mtqt87dYNeB2L/9OdHB9jvLsTFAWHz5frBT4yTHZkAD21Gs15ifeWaaJ1d6MNDuRaqiHAZkOvq0OvrZsl0uMeL0ZRMe7yMpT+AVJ9J0lm0+ipBLH4FFo2i1vRUGx20m4PU+kk9tO9OAIBzGCwMI6iCJSSLPGOJG6PA/WMQNfTkrSaIuWdAHLmcvna5w0bNuQWKqJRwuEwQ6cG6TragcProrgsJ9aDweCc97MQCkJcOJPB5bdx7RtW0LFnhP72SQDUUIwXvLYBh/uZffy63BH0Cy0OCCHw+Xz4fL5C7/WJiQk6Ojr4zGc+w+DgIMFgkM9+9rPceOONbN++/ZIWG7785S/z9re/nbe85S0A3H///TzwwAN8+9vf5qMf/eis/e+77z5uuukmPvzhDwNw991387vf/Y5/+Id/4P7771/w8S0sLCzmiyXQLSwsLJaBpU5xHx0dJRwO4/V62blz57I8bC80gj7dPX7dunXU1MxOCZ4+9nKnuMdiMQ4cOIDH46G5ublgAHY+RqNpBiZTVAachc9LCEGF305bGEaiaSoDTh7pGGNfbwSXTcWu5a67aUqGJlN8f+8pPnLj6sKYhmFw9OhRIpEIV199NX5/LlVb6duNs+0BlOQoZul6smv+HBmsByAtJcOGJORyENTcSCnJZrKw1WAwprByfIodPhs3rC+nutSOlIvvpR0dHsI0DZzeM/XYgHA4kekU8fAYgeraSxpXHRtD6z+NdDhyUXNAJJNovb2YgQBmIDhjfyklKAqmx0vcyJLOZlDsdkzTQNd1hCkxVBCKOGOSqBFLJnBNTc0Q6ACOxiRqvyQ7omK6JVIXmFmBo0EnFYjMOOb0z9vn8eKaVKh2+NH9WeKZJJPDcVoHWzFMo5B6HQqFFrwo5i1ysP3ltWx/eS2ZTIbHH38cT2DuXuHLyXK4uC/k2AsR1JqmFdLhW1tb+epXv8oPf/hDWlpauPfee1FVlQceeICrr7563mNmMhmefvpp7rzzzsI2RVG44YYb2LNnz5zv2bNnDx/84AdnbLvxxhv55S9/Oe/jWlhYWFwKlkC3sLCweBYjpaSrq4uTJ08SDAYJBALL9qC9kAi6ruscPXqUiYmJebnHL0eP9fy4UkpGRkY4fPgw9fX1rFy5cl4CVp75v+caeQkhkEC+DP2RjlF0Q2JoEt3IRdUVRaAqgsdPhPnImXbm+bZyQgiam5txOHJCTGn5d9S9/4jMpkBRUfv3oXX+mtSffRGzbAN2IQhqKoOZLEWamkujdtgxhCBQ6eeNW2tYnc6lAD/VexKHw1GoXQ8Gg6iqipSS1MQ4icg4pp7F4fPjLi5Fc8wtBvVUEkWd+QiQP28zm5n/B3AOSngsd+GmHVe63SgTEZTw+CyBnj+ukUmTFOBwOlGzWXQhUBEICRnTRLU7EJkMiq5jGmbO4X36GFNTVCajuOrDJCcCDEcd6F4Vd73EqEuiKmdTys9d4NAHEhin4wiXhuZ34M/Y8KXc1Dc0kA4wI/Xa5XIVxHr+2s+X/HfrcpidXe4I+mKOraoqK1eu5Gc/+xm6rrN//37WrVu3oDHGxsYwDIPy8pleAeXl5Rw/fnzO9wwNDc25/9DQ0MJOwMLCwmKBWALdwsLC4llKJpPh8OHDJBIJrr76agYHB5dF5OaZr4iOx+McPHiwkGo/H/f45YygT01NMTIywqZNm6jw2xCn9oCRzUWog/Wz0qrzlHrtVPqd9I0naSxxF1Lch6MZAjaTUq+N37WNsL93goxhYiRNVEXBaVNx23Oi2HYmoj7dLX7jxo1nBUl0CHX/v4IE6a8GBFKaKNF+7PvvJ/Wyr6EIwZ8VefjXoQnCWYMiTSEtJWHFxjq7xq5QAJdaRG1tLYZhEIlECIfDtLe3k8lkKCoqwouBEo+iKgIhVBLhMRLhMUpWrpkzXd3u9ZGamkCaEiWTRqRSuGIxMtLEthghp+u5YvlzkAiEoc/efmYVxMxmMRSBrKqG4SGURAxp6khpoqsaMpVEyWQxTQOfUFAiEairA1VFHRlG6+mhLJ3CJnVsrgg1IQcDTX5iDoOUFIS0s0IrbsaIl0TYH3sct+6heiSE0+1BuBSQOsKlAhpyLI2nrAhvvZf6+np0XScSiTA+Pl649sFgsFC7frE6adM0EUI8LwX6YurfE4kEXm+urZ2maezcuXOppmZhMW+GhoZ405vexBNPPIHNZmNiYuJyT+k5zac+9Sl++ctf0tLScrmn8qzEaippYWFh8SxkcnKSJ554AkVRaG5uxu/3L2mf8rmYz/gjIyPs2bOHkpISrrzyynm3dlusQ/xc6LrOwMAAyWSSq6++mkq9F/Wx/4e6/1uoB/8NdfeXUY79FMzZwhBAUxWuX1OK322jYyROTzhB50gcv9PGhiJJ73iSnx8coNhjR1NyreIQkMwaJLIGErhpfS6i9tRTT9HQ0MCmTZtmCCGlfx8iPYV0h84eWChIRwBl+CgiOQ7AK4q9/GXIhwR60zrhrEGVmeU9ZT5c6tnxVFWlpKSENWvW0NzczFVXXUXA7SI62M/IWJiRySjRTAbTZic1NUl0eO5on6+iCs3hJDM2gjk+jp6Io2czuCT4IxOIePySPhMZDOai29M/a8MAAabfP+d7hBAIVUNRFHSXi9PVDnrL00wEDSbsJplMkmwiQVIa2BUFj8uDGhlHO9UHmQzaqVMgJbaictRACRM+gRZP4BocJS1TVNpqKdVy5ndhfYR9mT8SC4U5nemhJ95OV6yNSXmadPoU6XQf6XQfWTGOmdGR2bPnoWkapaWlM659KBQiHA6zb98+9uzZw/HjxxkdHUXX516MuFwi+dlmErcQYrFYQaBfKiUlJaiqyvDw8Iztw8PDVFTMbYxYUVGxoP0tLsxtt92GEIJ3vetds15797vfjRCC22677Rmf17Fjx3jNa15DaWkpDoeD1atXc9ddd5FIJGbs95WvfIXBwUFaWlr4xje+UVhsO9/PI4888oyfy3LS09ODEOKSBLUQYlZpyB133MFDDz20NJP7E8SKoFtYWFgsA5caJZNScvr0aY4fP86KFStobGwsjPVMCPS5hEV+XvlU+40bN1JZWbmgsc81c1ssedd4wzAIBoP4RQLl6M8Q2RSydA0IBRLjKCd+jwzUIWvnjrqtKPXwxh01tA5GGY1lKPHYaSq2cfxALy2nJ4mldNaWe0hmDbpH4xgmmFIi05Ir6oPsDGU4cqSTLVu2zOkEzRmzsly+vOBsNv2ZBPszr2tC8JaKIC8r9tKbyuJWBSP7umh0rDzvNcj3mpYBPyIQwOb1k06lSCQTjI2NIbMZpuIJ4qqNkpKSGe7kTn+AsoaVTB1tIY2BUDXsLg8etxdbJoMxOoLuaVzox4JeVo46MoIyOUHY7uIPip0xE2qCZTQHiznXsi8fQdecTuweH2ORPgaVAYRXwW734xIpbJE0GdXAb3MT8ASweX3IZAJ1eBjT7UGkUpiBAEIIQmopHsVD1j1JTQKK7RsJOipQRK4U4mjiACmZRM3a8Lp9CBsoSpZo/BQObwWK4gAMjEQEoRqglVzw2ns8nkJmQ96Vv6uri2QySSAQKETXvV5vIYJ+OTBN86KeDMvFYlPc4/F4oXf9pWK327niiit46KGHuPnmm4HcNXnooYd4z3veM+d7mpubeeihh3j/+99f2Pa73/2O5ubmRc3l+UxtbS0/+tGP+MpXvlLwc0ilUvzgBz+grq7uGZ/Pk08+yQ033MANN9zAAw88QHl5OU899RQf+tCHeOihh3j44YcLi9BdXV1cccUVrFq1ivr6egYHBwvjvO9972NqaorvfOc7hW3FxWfLajKZzLwXs5+NZDKXXvZ0Prxe76IX3v6UsSLoFhYWFs8S8gZjnZ2dbN++naamphkP9Mst0M+X4p7NZjl48CD9/f3s3LlzweI8P/ZSRdDD4TB79uyhqKiIpqam3PgjxxCJMWSw7qwodheDEIjT+y44XrnfyYvWlPKaK6p58dpSKvw5IZvMGAiRm/v22gDXrgqxstRDmc/BrqYibt+oEBkdZOfOnXOLc8CsuQrpDCKSY0hp5n5MHZGawqjYCq6iGftX2DWu9rvY5HGinUm5ny+qohBzeXk0UMkvK1bwSFkDw04Pw0ND7Nmzh71793LixAkikQimaeKxO6j1F1NX10hdbQN+bwBNsyEdTsTU1Kw673nhcJDZsJF9NY28yRHiC/YA33IX82nh4W97Rjmdnr1Ik484eUrLmXInEFkTZ8qGEAK1xEmJx44oUbCVerD7/aAIpKYh9CyYxqyxXIqHgFZMQC2iWCtDOXM/RPUIgdPjXH1cY0ufwJ0wkXaJGsxCUpBJS4SpIFI2lIwToyiGVFPzu/ZnetqvXr2anTt3Fu6JfOnD7t276e7uzhkALuFC1Xx5Lqe4L1Uf9A9+8IN885vf5N/+7d9oa2vjb//2b4nH4wVX97/+67+eYSL3vve9jwcffJB7772X48eP86lPfYr9+/efV9A/10jHY4x0tjN28gT6Mgiwudi+fTu1tbX84he/KGz7xS9+QV1dHdu2bStsM02Te+65h8bGRlwuF1u2bOFnP/tZ4XXDMPibv/mbwutr1qzhvvvum3Gs2267jZtvvpkvfelLVFZWEgqFePe73134/kkp+Zu/+RvWrVvHL37xC3bs2EF9fT233norv/rVr9izZw9f+cpXAGhoaODnP/853/ve9xBC8I53vIOKiorCj8vlwuFwFP59//33s2PHDv71X/+VxsbGwuLogw8+yDXXXFMojXnlK19JV1dXYc75KPUvfvELXvSiF+F2u9myZcsMI8Pe3l5e9apXUVRUhMfjYcOGDfzv//4vAI888ghCCB544AE2b96M0+lk586dHD16dMa1+fnPf86GDRtwOBw0NDRw7733zni9oaGBu+++m7/+67/G7/fzjne8g8bG3ILttm3bEEJw/fXXA7Bv3z5e+tKXUlJSQiAQ4LrrruPAgQMzxgJ49atfjRCi8O9PfepTbN26dcZn/pnPfIaamhocDgdbt27lwQcfXNC1+VPCiqBbWFhYPAuY3kd8165dc/ZifiYi6OeK6Lwzutvtprm5+ZKjAEsh0KWUnDp1ivb2dtauXUttbS0DAwM5EaunyEWoZ0YopeZEpKNzD3ge8osi9cUuBLk2a3ZNocLvpNTroGM4yipnFKk7L3pNpLuU7FXvQttzH2psABBIJIavksS2t2NkMiiKUvi5FBy+AKrdQVsyzT8qAUalQEiJIdzs9gW4o7GSa9w2IpEIY2NjHDt2DMMwqHG5qE8msXm9aJrt7GKQaYKqnbd2/2Kk7Q4+ZzoZsquU21RUIchKSVcyy30D43yx8Ww9+PQFCNVmIxVSSHsdaNKF1BSyGRM5lsVmmBjy7L0v0mmk14dZVIR0OhHxODIfjZESmYwTLrHTmd4Haagwiml8rI3qSRNTAFIg+uK0bLITK8sSk1kCCZAxEDYQVTZkSRIp0zAr7n9xXC4XNTU11NTUFHreDwwMYJomjz/+OD6fr2D05/P5lj2yfjkF+mJT3BOJxJII9Ne+9rWMjo5y1113MTQ0VBAAeSO4vr6+Gddo165d/OAHP+ATn/gEH/vYx1i1ahW//OUvn/M90KWU9D39JKcPHyw4YSqaxsprX0xp06plP/5b3/pWvvOd7/CGN7wBgG9/+9u85S1vmZESfs899/D973+f+++/n1WrVvHoo4/yxje+kdLSUq677jpM06Smpoaf/vSnhEIhnnjiCd7xjndQWVnJa17zmsI4Dz/8MJWVlTz88MOcOHGC1772tWzdupW3v/3ttLS00Nrayg9+8INZ340tW7Zwww038MMf/pCPfOQj7Nu3ryBW77vvvnl1czhx4gQ///nP+cUvflG4/+PxOB/84AfZvHkzsViMu+66i1e/+tW0tLTMmMPHP/5xvvSlL7Fq1So+/vGP8/rXv54TJ06gaRrvfve7yWQyPProo3g8HlpbW2dFoj/84Q9z3333UVFRwcc+9jFe9apX0dHRgc1m4+mnn+Y1r3kNn/rUp3jta1/LE088we23304oFJpRYvClL32Ju+66i09+8pNArgxhx44d/P73v2fDhg2Fv3vRaJQ3v/nNfP3rX0dKyb333svLX/5yOjs78fl87Nu3j7KyMr7zne9w0003nfd3wX333ce9997Lv/zLv7Bt2za+/e1v8+d//uccO3aMVavO3pcXujZ/SvxpnY2FhYXFs4SFPHDnHcirq6tZs2bNeR+kn+kI+tDQEEeOHKG+vp5Vq1YtSkRcikAX492I3scQE32YnjK6shX0pn1ceeWVFBUVzRhX+qtB0SCbBNuZhydpIlJTmA3XLey4Z85zS42PdZVejg5E8Ts1FFNnLJrEK1NcXV/KVVdsvqDokVJiGAbmur/ELF6J1vUbiIcxS1aTXfVyhLsMxTSRUhZKC4TI1brno8rziaDbXC781bX88PQ4I4ZJpTRybdNUG2OqxjeGJrhyZQVlZWWUlZUVen9HRkaIRMYxOzvRzxicOTQNbBpmTRlcoqA7FE/Rn9Ep0XLiHMAmBD5NoSWWZjCjU2k/+/gx/b4K2EJEzHFMJedmn9AEkSIbRSMZnEKCzCDSaRACvaYGHE702jq0npMoE5FcyzbDYMgZ41hRhoyeO079oV5sU7lrrEjILZTA1iMZHr9WR1ZJHJobVdfABtgMpKEghO3MZ2mSzY6i62FAw24vQ9OC87oe+Z73kHuY3b59O+FwmPHxcU6dOoUQguLi4oI7/HKkwj6X2qydSzweX7JU2Pe85z3njYDPVTN86623cuutty7JsZ8tjJ5o5/ShAzO2mbpOxyO/w1MUwl1UfJ53Lg1vfOMbufPOO+nt7QVg9+7d/OhHPypc/3Q6zec+9zl+//vfF8oJmpqaePzxx/mXf/kXrrvuOmw2G5/+9KcLYzY2NrJnzx5+8pOfzBDoRUVF/MM//AOqqrJ27Vpe8YpX8NBDD/H2t7+djo4OgPN2BFi3bh2PP/44QKE+3eVyzduDIJPJ8L3vfY/S0tLCtltuuWXGPt/+9rcpLS2ltbV1xsLPHXfcwSte8QoAPv3pT7NhwwZOnDjB2rVr6evr45ZbbmHTpk2Fa3Mun/zkJ3npS18KwL/9279RU1PDf/7nf/Ka17yGL3/5y7zkJS/h7//+7wFYvXo1ra2tfPGLX5wh0F/84hfzoQ99qPDv/Hc4FArNuAYvfvGLZxz7G9/4BsFgkD/+8Y+88pWvLJx/MBi84LX70pe+xEc+8hFe97rXAfCFL3yBhx9+mK9+9av84z/+47yuzZ8SlkC3sLCwuEyYpsmJEyfo7e2dV133MxVBl1LS2dlJb28vmzdvntVq6FJYqEAXQ0dQ9/4TJMOYqpNY++OUqC7qXvhubEVn08ILAr1sPWbFVpSBfUiHHxQNkQgjA3WYdbsWPFcAt03lXS9s5PeH+9jf2k56apxrZB83NsDq6pedV8BKKZFSYppmIXIpq7aRrTqbwqlwtsbMNE0Mwyi8J//feeE+n+jnZFEp/aMZSgwDm7ChqCqKzUaZhJGszrFEmit9uYULIQR+vx+/349SUoI42U1mcpKpaBTDMGhPJkk53RQpKsXFxbMEo5SSbCKOaRjYPV6Uc8RXwjQxpEQ9Zz1HE5CRkuS0++DcBYhqez3D2X6iZgSHcCORtNZmWGX3sXrSh8jqSLcHvaYGoyx3XxplZZguF2pkHDIZxuxxDrvGsTsD+ISGMCW1A5OIc9Y6BGACoWENZWUJik0Hu4qUOno2ghAa6fQgijJGJjNAJjOIlFmkFCiKG7d7NS7XmnkvXOVN4hwOB1VVVVRVVWGaJlNTU4yPj3P69Gna2trw+XwFse73+5dEWF/uFHebzXbJ719KgW4BA8cOn/e1ofZWmnZes6zHLy0t5RWveAXf/e53kVLyile8gpKSs14PJ06cIJFIFARmnkwmMyMN/h//8R/59re/TV9fH8lkkkwmMyNlGmDDhg0zFocqKys5cuTIjH0WUka0EOrr62eIc4DOzk7uuusu9u7dy9jYWOFvYl9f3wyBvnnz5hlzhtxC/tq1a3nve9/L3/7t3/Lb3/6WG264gVtuuWXG/sAMn4Ti4mLWrFlDW1sbAG1tbfzFX/zFjP1f8IIX8NWvfnXGYtqVV145r/McHh7mE5/4BI888ggjIyMYhkEikaCvr29e7weYmppiYGCAF7zgBbPmdejQoRnbLnRt/pSwBLqFhYXFMnGhCGg6nebQoUOk02mam5vn9QB6IRO3pSBv5Pb000+TTCbnPa/5jj3vxQXTQGn9OaQmSPuaGB4dwRlcQakWR5x4AL2xGey5eRWusWrH3P7XUFSPOP0UGFnMlS/FbLwefAtzXc4LLiklRU6F12p/5M/lLzHkEB6nhhorQbaEMVU7snxmuut0YZ4/74sJuOnp7aZpous6ra2taJqG3W4vfObTI+vnii1TAoqKpmnYprm+CyRS5oToXJjBIKzfgH1qklRvL7rNTnFdHeFIhFOnThUEYz4d2yFg9PgxkhPhXJs5l5vQijX4q2oKY651OfCqClOGSZF29uF4Sjepctiosc8Ua9Ovj18NssV9Nd3p40waEQRQ6WqkfM1astKJrutIu33W4oj0+dDPGIn1Jw6gZwVukXvEEVKinu8CCKgU9RiuRrLZMUxzEimzGEYcEJhmAl2PYhgRQEEI9cz2KZLJVjQthN1eep7Bz7nWc5jEKYpCMBgkGAzS1NREJpNhfHyccDjMkSNHcvdgUVHBbG6u0pf5HvtyCvRLnTcsXYq7RY507DwlP1KSiS+sHOhSeetb31rIZJgeHYVcWRXAAw88QHV19YzXHA4HAD/60Y+44447uPfee2lubsbn8/HFL36RvXv3ztj/3IUhIUThd/Pq1auBnGCdLvzztLW1Ffa5FOa6Z1/1qldRX1/PN7/5zcIC3caNG2eZsE2fd/53Rn7eb3vb27jxxht54IEH+O1vf8s999zDvffey9/93d9d8lznO/+5ePOb30w4HOa+++6jvr4eh8NBc3PzshjLwYWvzZ8SlkC3sLCweIaJRCK0tLRQVFTE9u3b5107tRytyqaTTqeJxWK4XC6am5uXtKZrQRH02DBioo+4EmB0eIhgMEggEAAjABN9iMhJZPmm2ePavZhrXgGrXw7Is2ZxC2T6H31zrIvs3m/hmzqRGy8lYaIbRo4h/TUzBHo+pT2/KDMfQSQmT6H0788dr/pKss6yQsRg586daJqWS5M/k9mQP9fpqfCKolDj0Khz2OhIpnErZ9Pjx7IGIZvKOrfj/JNwODBKy4hGJlAUhUBREYEzBnzpdLogGE/19uKZHMUmTTSnC7vNTiYeY+hoC4rNhrc0F9Eut2u8OuTjB6NTDGd0HIogaUociuDNZQHs0/qkz7WAVaSF2K7uIiPTCAR25ezc5bR70jTTSGmgKHaEOLtdESrTRzVVhajfhncqy7lLJYoER2UThqMam60Uw0iSSBzBNBMIoWAYnBHnOmAHNITgjIiPkU73z1ugz6fNmt1uLxhN5UsRwuEwg4ODtLe343a7C2I9GAzOW3Q/V9usSSmtCPoS4ykOMTk0UKg/LyAE7qLQ3G9aYm666SYymQxCCG688cYZr61fvx6Hw0FfXx/XXTd3edLu3bvZtWsXt99+e2HbdLO1+bB161bWrl3LV77yFV73utfN+C4dOnSI3//+99xzzz0LGvNChMNh2tvb+eY3v8m1114LUEihXyi1tbW8613v4l3vehd33nkn3/zmN2cI9CeffLLgih+JROjo6Cik8q9bt47du3fPGG/37t2sXr36gt/TfCbVuQvtu3fv5p/+6Z94+ctfDsCpU6cYGxubsY/NZrvgAr3f76eqqordu3fP+Mx3797Njh07zvu+P2UsgW5hYWHxDCGlpK+vj46OjkKrloXUdS9nivvAwAAdHR1omlZwaV1KFrK4IIVCNJYgmopSVtV41pDHNHPGZco0MTaX8BcCZkmx+ZM/91QqxcDjP2Pt1InceFLmhpVANoF6/L8xm/8OVNvZevMzkcqLXj8p0Q7+G+qh7yMyuaiVobkZCFyLa9Wr2RgyUE8/hixagVLUcOb0zRnHmX4vKIrCW0p9fKE/S19Gx3bGmM2jKLy5PIBPvbTFCofDQWVlJZWVlUyc6mHg8DimaiedzZJIpdA0DdXMMHqiA6c/SCI8SnJinD+XEPAE+J1uY0g3Wee2cWuJn2sD7vNe73O3OcTcUVcps2QywxhGFCkNhLChacXYbCGEUAhpZQxkesmY6YK4b1/j4Yp9E5xpdpcbRwiMUAijsurMNXRgGFNks6NnFj6cmKbB2fwDiRAghIKUGlKmMc2peV/LhbZZm16K0NjYSDabJRKJEA6HaW1txTAMioqKCunwFzKuutwR9MUcOxaLLbrNmsVZarZcweRg/8yNQqCoGuVr1j8jc1BVtZByfa4o9Pl83HHHHXzgAx/ANE2uueYaJicn2b17N36/nze/+c2sWrWK733ve/zmN7+hsbGRf//3f2ffvn0Fp/H5IITgW9/6Fi996Uu55ZZbuPPOO6moqGDv3r186EMform5eUaLvcWSz4T5xje+QWVlJX19fXz0ox9d8Djvf//7ednLXsbq1auJRCI8/PDDs+roP/OZzxAKhSgvL+fjH/84JSUlhfaCH/rQh7jqqqu4++67ee1rX8uePXv4h3/4B/7pn/7pgsctKyvD5XLx4IMPUlNTg9PpJBAIsGrVKv793/+dK6+8kqmpKT784Q/P+l3U0NDAQw89xAte8AIcDkfBQ2Y6H/7wh/nkJz/JihUr2Lp1K9/5zndoaWnhP/7jPxZ8jf4UsAS6hYWFxTIxPcVd13WOHTvG+Pj4DJOzhZAX6FLKJRPQpmnS3t5Of38/q1atKrQyWWqmpxZeiGw2y6Hjp6hQS6n1DKA4ztQ/SxMx1YcMNiKLV8wYd6lrCPPnf+DAAa5MdnNWlQsKoVlpIsIdINQZJm/zEueAcmoP2sFvI4WKDNSRzWTITA6wMvW/qOlDKIkxMDJg92A0vpjsNR9GOWN+l3+gzYv0vHDf4rLx2ZpifjuZpDejU2HXuLHYy2bPpacXT0dPJlEVBZfHWzh+JpMlm4wzPjTA6MO/w6XmXne5XLwgOcBL/EFCa1aiaHPXIC/0s5NSkskMks1GUFU3iuJEyjTZ7CBCqNhsxZRo5VTZ6xnI9JE04kggWqbi3VXPyuNRtPFxdKFgrl5NevOWGW71up6LlgvhRQgFISQ5twCTmYUCEpCo6vxTrxcrkm022wyjv3g8TjgcZmRkhM7OTpxOZ6EUIRgMzhA+z3WTOCvFfekIVtey+vqXcnLv42STSQBcgSJWvfDFODzPXKaC3+8/72t33303paWl3HPPPXR3dxMMBtm+fTsf+9jHAHjnO9/JwYMHee1rX4sQgte//vXcfvvt/PrXv17QHHbt2sWTTz7Jpz/9aV72spcRjUapq6vjzW9+M3feeWchpX4pUBSFH/3oR7z3ve9l48aNrFmzhq997WuFdmXzxTAM3v3ud3P69Gn8fj833XRToR1cns9//vO8733vo7Ozk61bt/KrX/2qEAHfvn07P/nJT7jrrru4++67qays5DOf+cwMg7i50DSNr33ta3zmM5/hrrvu4tprr+WRRx7hW9/6Fu94xzsKLfQ+97nPcccdd8x477333ltoc1hdXU1PT8+s8d/73vcyOTnJhz70IUZGRli/fj3//d//PcPB/fmEkMvljmBhYWHxPCebzWKaJrFYjJaWFux2O1u2bLnkP/qZTIY//OEP3HDDDUuSfp6vg8+b7xiGwb59+3jJS16y6LHPZXx8nCNHjpw3ZRHOtnTzeDxsqQviePpfUCZ6cppYSvBVYlz19kJ6O+TMZZZ6zgMDAxw+fJimpibW9f076r5vkhNn04V3TrAPvfUAvuKyQvryfBc3bI98FrX9V8hgPalUKldn63bhCh8FxYZZvBI0J6SnEOlJ9G23oV/97vOOl697z/9M/9M+3zZuHR0dKIrCypUr53x9ou8kQ8cOYfd4ENPKB9KxGHa3B1PTyACJRIpsNoPT4cSlCEpWriZUUzfntTl48CDl5eVUVVVd5IrlzzNJKtWNEA4U5azoN4w4QthwOlcghIIpTcb1USaMMABBNUSxVooiFIaHhjh9+jRXzGGClEh0kkweBQSKklsQyWbHkDIBCMSZqH4+tT4YvAGbbX4p7v39/YyNjbFly5Z57b8QdF0nEokUyhEymQzBYLAQXT9w4ACbN2/OlYo8w+zbt4+GhoZZhlnzwTRNQqEQbW1tz9sH9emkUilOnjw5o7f2pWKaBslIBEXTcPoDy97qz2L5eeSRR3jRi15EJBIhGAxe7uk8K1jK78wziRVBt7CwsFhG8q3K6urqWLVq1aKiWPkolGEYixbok5OTHDx4sBCZ0DSNWCy2bCn0F6tBz7eay18nIQTGdXci+/dDfBScAczqK8E701F+Kfqr55FSFlz1FUWhsrISU70edd83pu915v8LkrZiTuz7PYFVO2lqapr9gJuOovY+hoj0gMOLUducc5ePjyLCnUhy0cFMJoPf70PTE2DqSJv3bKs4ZwCMDGrHA+jb3wK22Sni+esw3WgOmBFdn6uN20LvRW95JfbuTjLxODaXCyEU9HQKoQic/iCmaRD05wRgNpslHo8Tj4RpP3YU+k4XortFRUWXfP/mXNQNVPVc8ycbUupnUt4VFKFQYiunxDa7A4EExHnOXdPcKIoH08xgmklyolxDSg3IGcQBqKoTh2MlmlYy4/2GEcMwoqiqF1WdmZa90BT3haBpGqWlpZSWliKlJJFIFMR6d3c3pmnS19dHRUXFoq7/pbCYCHoqlcIwDCvFfRlQFBVPqOTiO1pYWDzjWALdwsLCYpno6Oigp6dnSVuVwWyTloWSb+e0cuVKGhoaCqJhepu1pRYS5xPSUkq6u7vp7u6e3WrOVYS58qWz3jOdpUpx17NZjhw5zFQ0xs6dO9m7d2+u1Vnt1RiBetTJXqaLcyk0EsXrcNoU+vv7C/WFBWLD2P/wKcTYcZBmruZ83zcwS9bkzOXSUWR8HNNpxx8sywmYVCqXKeCYKUakzYXIJiAdPa9An07+Ppku2Kf/nFu7fqHoupQSpEQoCprDSeWWKxg+dph0PAqmRHXYKW5YiWKzERseLLzPZrMRDAZxCqgrK8f0+AmHw5w4cYJUKkUwGKSkpGTBXQmEsCGEhmlmZ0TQpcwihOOMy/qFudD9rWkl2GzF6PoEUgpy5nAqqlqEqjrPHEfDbq/E6WycZiiYJRp9gnS6BylzQtxur8XvvwblTB38fEzilgIhBB6PB4/HQ21tLYZh8Oijj6KqKl1dXSSTSQKBQMFszuv1Lmv0dDECPR6PA1gmcRYWFs8rLIFuYWFhsUwUFxdTWVm5ZPWTQohFGcWZpklbWxtDQ0Ns27ZtRu9ZmCnoltrxeS6Brus6R48eZWJigquvvvqCNYkXG/eSFxUycTK9TzF48LeUCti86YWoSqpQM3/w6Al05QqaNInfGEeTWZKeapJF65E2J4q/EiNmEIlEZgh07dB/oIwewwzWg2pHxMMwfgJltI1E+XYGtFXUqSfwZ0eQKQ2EikhNgGpH2mYa7Ih0FOmvBNfCfQvy12j6ZzvdbX56dD3/+ZimiZFJM9bRxtTAKaRp4ikpp2T1OlxFIep3XUdyYhxpGDj8ATSHk9TUJImxEbLJJNqZNEI9lULRVNxFIRw+f+H6JBIJwuEw4XCYaDRKV1cXsVhsztrpcxHCiar6yWbDgAshVEwzg5QGdnvRjNT783Ghe0VRHLhca0mlejGMSQDsdh8ORx2q6sM0Uwhhm7E4ABCNPnEm9V6cWSSQpNN9TE09it9/XeF+uhxpxIqiIKWkqakJp9NJMpksRNd7enpQVbWQCl9cXLyonuVzsZj693g8jhDiggZ4FhYWOa6//vpl6+tu8cxiCXQLCwuLZaK0tHTJU8bzbbcWSiqVoqWlBdM0aW5uxu2eHYmdbj623AI9mUxy4MABNE2jubn5kuvy8w/+lyTQjQyplp8SPvZHPIEySssrUPr3IGP92I1y+vr6OHT4MMWOVRSJBOOpCSYyCi4dyk2deGAtWWcIEQ/P/EyySdRTu5HOIKj2XOA9E82l6adjjHXuw16xCVF9G+nW/8aIRdEVG6myayjWkmgjh3MPWZoDkZ4CJPrG1+bGWiT563Wu0VwsFiMcDlNVVUUmleT03sdJT04gVBUhBFMDp0iMj1G/6zqc/gDu4pmLOw6fH19lDdHhQVJTE7lj2Oz4Kquxe2dmBLjdbtxuN7W1tezfv59AIFAwK8xkMoVshLmcyXOR6QqEUNH1SaTMIIQdm60UVZ3fAsbF7hVV9eLxbECfimFG0ghhRwk5ER4FVZ39vTGMOOl0zxlxfvaxSkqDdLqH0dEeQGCzFaNpDfOa41Jybts/l8tFdXU11dXVmKbJ5OQk4XCY3t5eWltbZ/S99/l8i15UWMzvk3yLNas+2sLC4vmEJdAtLCwslonleKi8lAh6vu96KBRiw4YN531Ynp5Cv9RRtHwUzzRNJiYmOHjwIBUVFaxbt25Rab/5a3wpUYPR40+SPPYovppNhMoqQQiktxwx1o4vkaa390x6eHETPRkv/ok2NKOfKakRc23FWbazEH2eYb4lTTAN5LR0ayENdENiZLP4fV7cFRV0d58kFg3QLq5kSFZiDNupKnZzU2WI4Nh+1EwM6S5B3/RajA23XvI1uhCKojAxMcGhQ4eoqamhoaGB8Z4u0lOTqA5HoVZb0WzoqSTh7g6qt141axwhBL6KKpyBIJl4DAC7x4vNdeGUfCEEPp+v0Pc7H10fHR2ls7MTl8s1w5k8Vz+fSzHP1X8bZ9Le5y8A57OYkz0xSfZEFFI6SNBdGrY1AbTG2bXQuXZvZmEOucyEDOe6vqvqOH7/FKa5rmBA90yQXxib63umKApFRUWFrhLpdJpwOMz4+DinTp1CCEFxcXEhwp53gp4v+e/8pQr0WCyGx+OxBLqFhcXzCkugW1hYWDyHUBRl3gJdSsmpU6dob29n9erV1NXN7aQ9fWwhxLIYxeXFQV9fH52dnaxZs4a6urolG3chIkBKSWdnJ/H2g2woLcFZPs1BXChIuwdXeoSELMGhmLiy48TVIJOha4jZJolMTFJuVFAxFUPXdcrKymaWC9jcmOWbUHsexXQFAYWkqaEkh9EcXjxVa5iKRhnqPY5T2Mm4K3FoQWKxGN0D43zTVk2xs5qmqiKueNGf4/JdWmr7fBgcHKS1tZU1a9ZQU1MDQDaai9orqgbI3P+KXB16fGyUbDZ7XqM5m8t9UVE+nelieXrtdF1dXcGZPBwO09bWhq7rM6LrOUfe+S8kmbEsxlgK9XQKpw4yqSNcsx+DjNEk2eOToCmIkjOu7dEsmdYIwm9DDc10AlbVfITXREqBlGnO+hXMOFuEyJJItOH1bp/3vBfLhQT6uTgcDqqqqqiqqsI0TaamphgfHy/4Vvh8voJY9/v9Fx0z/7tkMSnuc2X7WFhYWPwpYwl0CwsLi+cQ842gG4ZBa2sro6OjXHHFFRQXF897/KVyRZ+Lrq6uBc3nYpzrXH4xdF3nyJEjRKNRdmzcguvU+CwpJfQMKDaujD9G2cijOBSdrOLmZKCZ474XkExnChHdkpISSktLZ7piC4G++a9QxtoR490ksyCzcZw2OwRrkEaGWF87biPKiGslcTVAIpEgk8kAuc8urfpp6Ysy+egTvPzlL1/yCKKUkp6eHk6ePMmWLVtmLDCoNhsCkTOHE+KMcXmuF7xmdxTmmGd6jfulCLHzG7bNdCaPx+OMjY0xNDRER0cHbre7INYDgcAFj22EU2TbJpAJHSWu40pJMofGsa0PovhnRoWNoSToJkrR2bIL4bdjjiQxhpNzCnSHo55UqgfIMrc4P0s2O3zB15ea/Ge10HtIURSCwSDBYJCmpiYymUyhdv3IkSNIKQsLJsXFxXO2MMp/LxeT4m5F0C0sLJ5vWALdwsLCYplYjofK+dSgJ5NJDh48iBCCXbt2Laj350Ii9PMlnU5z8OBBAK644ool7c+6kBT3fN27zWZj586d2LMTMNYCk6fBXwVCgUQYhKB46hhlkwdJIsmYGnYzytqxX5OKTWJruIVrr732gum+snQd8evvZvSxb+ONdhNobCJbczXYPSgTvSQcJRzXfETtjbkS9Uxmxv3icDgQQnD69GnC4fAsQ7/FYJomx48fZ2xsjKuuumpWCyt/VQ3h7k6MTBr1jCA3dR0QFNfnesnma9cX28ZtvqUJQgi8Xi9er5eGhgay2SyRSISxsTGOHTuGYRiFyG4oFJrhaSANE70risyYKKVODCWObhOY0Qx6TxTbpuIZ115mDKQy+7srFYHMmIV5p9MnSaU6MYwUNlsZdnslmczpi53JM5reDmezSxb7+8hut1NRUVEoR4hGo4TDYQYHB2lvby8smBQXFxfKEQzDuKSWfnnyNegWFhYWzycsgW5hYWHxHOJiEfRwOExLSwvl5eWsX79+wQ/GSx1Bz/dbLyoqYmJiYm5Rm4kjTu1FGTwISGTFFszaZnBc/ME8Z8wlLjrnSCTCwYMHKS8vP1v3bi/DXPESlO6HIdyR29HuxSxdR1HLT8hiR3h8yHSauG7DKeOsyx7C3/Cei/aRjsfjHOwcxbfqryjbuBFzWgTRBERpD8OD/4OmmyjKWaEqpSwsqNhsNtLpNFNTU0sm0HVd5/Dhw6TTaXbs2DHn4o27uITy9ZsYbj2CnkqCyPUND9Y2UNywApjtDH+pbdzg0haybDYbZWVllJWVzRCLAwMDtLe34/F4CIVClJSU4DUdmNEsSsCWa8sHCEWg+OyYExlk0kC4z36eSpED0RtHmhJxRqhLQyJMiRrM3b/R6JMkk23ko+W6HkZR7NjtNWdE+vkWHiQu15oFn+9iME1zydu7CSHw+/34/X4aGxsLCybhcJjW1tZCOYLX613UsWOxmCXQLSwsnndYAt3CwsLiOcT5BLqUkt7eXjo7O1m7di21tbWXNP5SRtAHBgY4duwYK1asoLGxkZGRkdlCWk+hPv0txMDToDpACMTQYcTwEYyr3gn2i7eoO1+P9Tz9/f20trbOWYcvyzdhBOoQk31gmhiechg9jkMxydgC6Bkdw9BziwA2Dw6ZZLRzP8JdRFNT04zjSCkZGRmhq6uLvp5uVpZ5WO8bxP3jT6EMPg02D/qGW8lecwd1dXU0NDRw8uTJQrszyH2++ZrbbDaLpmmzItyXSt7J32azceWVV17QCLBk5Vp85VVEhwYwTQNPSRnu4pI5xfRcbdzyYv1i0fWlaAl0rlicnop9+PBhbEmojvhxCC9evxeRMrHFJYZMgSpmzUGrcmOcjmOMpgrCXSZ01FInaqWbbDZ8RpxTcG3PnXMaKS+c4q7rK7HbKxd9zgthOQT6uZy7YBKPxwmHw4yMjGAYBnv27ClE14uKiuad8m7VoFtcbnp6emhsbOTgwYNs3bp1Xu9paGjg/e9/P+9///uXdW4Wf7os729sCwsLi+cxz5SLu2EYHD58mJMnT3LVVVddsjjPj7/YCLqUkvb2dlpbW9m6dStNTU0FUXbu2GLgIGLgIDLYgCxuQhY1IotX5ER6//55HU+I2SJr+jza2trYtm0b9fX1c38mzgBm2UaM8k0YrhDSVYxQ7dhViaIo2O0OHA47qtQxpGBgIsWBAwfo6+sjm80Whuns7OTRRx/l5NF9rMi0Utb9U/y/eT/K6b0II4tITaAd+BaOH92KInVuuukmrr32WioqKvB4PKiqisvlQlEUMpkMqVSKqqqqJYmeR6NRnnrqKXw+H9u2bbuoS39qapKpoX6EolDcsAJPqHRe97OiKKiqis1mw+FwYLfbsdlsBUFmGAa6rpPJZNB1/dL711+AfCr2hg0buOaaa1h35SYUn53YYIRTLd3InjjqiE62ZwpjJJVLfzfP3j/CqWG/ogTbaj9CEwhNYFsTwH5FCcKhksmcyp/t2fcIAQh0fQyPZ1t+65kfUBQf4+ObMc0VS3qu8+GZEOjTyZcj1NfXs2LFCpxOJytXrkRKSUdHB4899hgHDx6kr6+PeDx+wUWaRCJhRdD/RLjtttsQQvD5z39+xvZf/vKXC/odcP31119W4dvT01PI3BJCEAqF+LM/+7NCGZeFxVJgRdAtLCwsnkOcK9ATiQQHDx5E0zR27dp1yf3E8yw2gp7NZjl06BDJZJKdO3fOeLieU6CPnwAk2KbV5WoOUFTE2HFk43XzmvO54+ZTuWOx2Kx5nIuUkqyeJZKKoAqVQMlazPKNiP59YDpRVAcaWTSRYbzkSkrqtzE8PExnZycdHR0Eg0HcbjeHDh0im0pwZXEcvzSpiHUDEjEtoiqkiTp8GLXzQVj752zdupWtW7eSzWZ57LHHOHHiBIlEAlVVaWxs5EUvetGiBWw+klxfX09jY+MFx5NScnr/k4ydOH52zvv3UHvVLkJNqxZ87Lmi64ZhnKnhTpPJZDAM44LO8ItBCEGgOIj3KieZg2NkT06RkBlMDCZJks3GcbUk0UScorUVhYULxWPDvrEYuT732Yk5atLPh8ezDaeziVSqGymz2O012O01DA4eeUaFch7DMC7LcSH3mZ9r9pdMJgmHw4TDYbq7u7HZbAXvgKKiohnlI8uV4j4+Ps7f/d3f8atf/QpFUbjlllu47777Lnisb3zjG/zgBz/gwIEDRKNRIpHIkvppPB9wOp184Qtf4J3vfGehtd/lIpPJLLht4HR+//vfs2HDBk6fPs173/teXvayl3H8+HHrnrBYEqwIuoWFhcVziOkCfXR0lD179lBcXMxVV121aHGeH/9SI+ixWIw9e/YghJhTFM+Ziq7YmDMl2DRBnd/D07njJpNJnnzySQzDoLm5+ew8TAPGuxGDh2CiF86klneMd/CtY9/iH478A18/8nV+3PUTBl/wPoyyTdjNJI5MGFVPEg2so3flm7HZbIVr/oIXvIDS0lJOnDhBNBoloKZQYsNMEsCbODVDnOeRiobS98SMbTabjRe/+MW87nWv41WvehW33norr3jFKxad3tvf309LSwtr1qwpZDJciPCJ9hniHECaJn17HycZGV/UXPLRdbvdXsj6CAaDBUf/c6PrS+mFoJY6UctcKG4bBFREsZ2S9dWEGspRVYVIxzCPP/44Tz/9ND09PUSj0Vx0XxGzxLnDkW8PeHZ++Siw3V6DECqaVozXeyU+XzMOR23BJ+FyuJE/0xH06Zy7OCCEwO12U1tby9atW7n22mtZu3YtqqrS1dXFY489xoEDB3j66ad58sknl02gv+ENb+DYsWP87ne/43/+53949NFHecc73nHB9yQSCW666SY+9rGPLfl8LgfZ0QSxPQPE9w1hxDLPyDFvuOEGKioquOeee+Z8PRwO8/rXv57q6mrcbjebNm3ihz/8YeH12267jT/+8Y/cd999hQh2T08P3/3ud2cJ43Mj85/61KfYunUr//qv/0pjY2PBf+PBBx/kmmuuIRgMEgqFeOUrX0lXV9dFzyUUClFRUcGVV17Jl770JYaHh9m7d++c+375y19m06ZNeDweamtruf3224nFYjP22b17N9dffz1ut5uioiJuvPFGIpEIkPsO33PPPTQ2NuJyudiyZQs/+9nPLjpHi+cuVgTdwsLC4jmEqqokk0m6urro7u5mw4YNVFVVXfyNCxj/UiLoIyMjHD58mLq6OlatWnXeWuVzx5ZlG6D7D5AYB/eZ1mupCVBUZPmmCx/UyCAiJ/EnepCpBqCoYAZXUVHB2rVrz4qDZATl2M8RY+2gp0BzY5atp6/mKn7U/VOmMlOUuEowpcn+kf2MpcZ4y1/8M5F9DzJx6jhKcQOp0Hp0w2RifJzy8nJ8Ph/pdJrBwUFcLlcuSmiLw4hOJBrHEBqKPM+Dr31u0ZGvpV4sUkq6u7vp6+tj27Zt825rN9p5fO4XhCDc3UHNFTsXPbepqamCYd+aNWsK4jUfXZ9uOAcUIuuLja4Lp4ris6ErGQSgOFScuLAHFAKhMuq3+Qu16729vaiqWojsFhcXFyK7mlaM272BROIYUur50VEUB17vVec9/uUSypdboF+o3nz6NV61ahXJZJLx8XH+8z//k7vvvhu73U5DQwM//vGPeelLX7ok7Rnb2tp48MEH2bdvH1deeSUAX//613n5y1/Ol770pfP+Ps2nVT/yyCOLnsPlRJqSif/uIv7k4NmNqqDo5pV4rqpY1mOrqsrnPvc5/uqv/or3vve91NTUzHg9lUpxxRVX8JGPfAS/388DDzzAm970JlasWMGOHTu477776OjoYOPGjXzmM58BoLS0dN7HP3HiBD//+c/5xS9+Ubgv4/E4H/zgB9m8eTOxWIy77rqLV7/61bS0tMz7e+Ny5TLA8q0yz0VRFL72ta/R2NhId3c3t99+O//n//wf/umf/gmAlpYWXvKSl/DWt76V++67D03TePjhhwt/L++55x6+//3vc//997Nq1SoeffRR3vjGN1JaWsp11108y8ziuYcl0C0sLCyWieWKlo2PjxOJRNixYweBQGBJx15oiruUkpMnT9LV1cXGjRuprDy/AZaiKLPqTWX5BsyVNyC6HiI90UPW1BE2F7YVL0Wt3HrescRYB8qRHyMm+mgaHcKTeZrxymt4erKItasaqXMmEN0PITUnMrQKpfM3ZE8/xajTy6QK9uwEpV2/Z3i8lYgtzcrAysLn5bV56Y320jbRwearbibsbWNodBQzPI4QgpKSEtasWUM0GqWlpYVQKMSGDRt48sknSWdM3IESqlUn4ewGyidbZkXRhamjr7t53td4oZimSWtrK5FIhKuuumpBEchsMjH3C1KSTSYXPbdwOMyhQ4doamqa4QmQfxDOPzSf28YtL9bn28ZNpg1kxkQ4VYQtt5/w20EIyJpgzx1HGhKyJmqpE5vTSVVVFVVVVZimycTEBOPj45w8eZJjx44RCAQIFRdT7Azicm1F85eTTp/ANFPY7eW4XOtQ1QuXUjzfBHq+xdt8cblcVFdX8573vIe3ve1tvOlNbyKVSvG5z32ON7zhDezatYuHH374kvuqA+zZs4dgMFgQ55CL7CqKwt69e3n1q199yWM/F4jvG5opzgEMSeTnndiqvdirlrfm/9WvfjVbt27lk5/8JN/61rdmvFZdXc0dd9xR+Pff/d3f8Zvf/Iaf/OQnhb93drsdt9tNRcXCFxMymQzf+973Zoj6W265ZcY+3/72tyktLaW1tZWNGzdedMyJiQnuvvtuvF4vO3bsmHOf6TXzDQ0NfPazn+Vd73pXQaD/v//3/7jyyisL/wbYsGEDkGtT+rnPfY7f//73NDc3A9DU1MTjjz/Ov/zLv1gC/U8US6BbWFhYLCPnMzC7FGKxGH19fZimedE+3JfKQlLcDcPgyJEjTExMzGuxYE7xLxQSa15Ji5kgPnQAUxqMe0qw+Ty8IBWm3F0+e6BkBOXAdxGxIWSwjkRMRUyGMYd/wM7mdxII/xFl9DhSmjlxrNrJxIbo0VSmslM4VAdRJEnS6AP7CdVtnbGYoikaUkrCqTAOh4PNmzczMTFBKpXC4XAQDAYJh8McOXKE0tJS7HY7AwMDhEIhhoay9Kbc+Kc6GTcq8Wq9ePVxpFAAgZAGbdWvpbd9nJJwKyUlJYRCoUUJjulks1kOHz5MNptlx44dCy57cBeHiA4Pwhz3rKsotKi5DQ4O0trayrp16y6a9XG+2vWLtXGTWZNs9xTGQBJ0A+FUUWs8aPU+1LKcC7vaNomwm5haBpkyUEucaNVnSwlkxkBGswQUD0WNQVauXEkymSTSNoT6vxNkpyJkAb1IQbl2HcHV5Rdtu5c/j8uV4r5U99dCuVgE/UI4nU6y2Syvec1ruP322xkYGODAgQOLPpehoSHKyspmbNM0jeLiYoaGhhY19nOBWeI8j5IT7/a/WLnsc/jCF77Ai1/84hliHHL3y+c+9zl+8pOf0N/fTyaTIZ1OL5mTf319/ayIe2dnJ3fddRd79+5lbGys8Pevr6/vggJ9165dKIpCPB6nqamJH//4x5SXz/H3ily9+j333MPx48eZmppC13VSqRSJRAK3201LSwu33nrrnO/N+5K89KUvnbE9k8mwbdu2Od9j8dzHEugWFhYWzwHyKeRFRUVks9llEecw/wh6Mpnk4MGDqKpKc3PzvITg+dqhHR1vZZ+MUt10PS7NhdvUOR07zRODT/CqxlehKTP/VImhw4ipfmTJakwEuimZEgHqimyYJx9gfGKSETNAVirYVI2idBeudBdT5asJBmqQEqSwkyKNmU4wNTmE31dXEFmmNJFIvDZvYd751Np8xsDRo0fxeDyMjY3h9/tRVZVsNovP5+PEYDHOdAWlhNmtNFPiirKy1IW7YgX6+r+ktmQd3kiEsbExOjo6SKfTFBUVUVpaSklJSSFdcqHkPxOXy8WVV145L9F4LuUbthAdGpi5UQhUm43QioWbxOXp6emhu7ubrVu3EgotTOhfLLo+vY2bcXwKoy+G4rEhPDZkUid7fBKEwNbgw74tRDIxgnNKoLg1lEYfWp0X4cpdK70/jt4TQyZ0EKD4bahNfrS4gfeRGDIrQMtlgtgiEuOBYfb2nsBd4S8strhcrjmF+PMxgr5Yg7p4PI7Hk2u1mM9uOB8f/ehH+cIXvnDB8dra2i55Ln8qGFPpuV8wwZx6ZmrRX/jCF3LjjTdy5513cttttxW2f/GLX+S+++7jq1/9aqFm+/3vf/95U8fzzJWdNb3DRp78vTSdV73qVdTX1/PNb36zkD2zcePGix7zxz/+MevXrycUCl3QGK6np4dXvvKV/O3f/i3/9//+X4qLi3n88cf5m7/5GzKZDG63+4K/8/O16g888ADV1dUzXlsK3xmLZyeWQLewsLB4FiOl5MSJE/T09LBx40YURZmXgc2lMp8I+vj4OC0tLZSXl7Nu3bp5P4DPNXbWyHJi4gRBexCXlntI0RSNam81A/EBhuJD1Phm1imK9BQIQdaQDA3mxGRxcRFG2mCy8yl6ZSWT0igca1QarFJiKAO9JGwh7A47ExMT2KeGiQs7Q8kMk6eO0VTWhMPpYCA+QImrhHXF62Yc1zRNDh48yJEjRzBNk/7+fjRNIxQKsXbtWjweD3v37iWeTKOF1jCi5CLmR6fiPK37ec2u12C321GgUHe7evVqEokEo6OjDA8P097ejsfjoaSkhNLSUgKBwLyirvm67rKyMtasWXPJoshXVkHjtS+m/8BTZOK5B0NPqJTaHbuwORe+cJBvrTU0NMQVV1yxJCUZ50bX8z/6VBq9LwY2BelUQIDw2SCaxTgdR6vxIGwKqTKBqHfhbJxZjmGEU2Q7JhGKQCl2IE2TbFeU9L4xZFKHtAmaQKgKQoDUJEpWsFlrZKJEEA6H6erqwuFwFD7fYDA4Y2HhckTQL6eL+2Ii6LCwNmsf+tCHZoi9uWhqaqKiooKRkZEZ23VdZ3x8/JLSpp9r2Kp9pDsjs705Bdiqn7mWdp///OfZunUra9asKWzbvXs3f/EXf8Eb3/hGIPed6ejoYP369YV98iaT0yktLSUajc5Y0GlpabnoHMLhMO3t7Xzzm9/k2muvBeDxxx+f1/xra2tZseLibROffvppTNPk3nvvLXwPf/KTn8zYZ/PmzTz00EN8+tOfnvX+9evX43A46Ovrs9LZn0dYAt3CwsJiGVlMins+XTkej7Nz5058Ph9jY2OFiOFykO/BfT76+vpob29nzZo11NXVnXe/8409qx2a1MmaWeznOLYrKEylp+iayi1GlLnLCvtITymZTJb+vh48/iCZTBoBTIycIqGrKA4bIpsTQlJK0mhM4kTLxIn1tuIJleOIRnDYFEaC69gaWEVntJPjI8cJFYeo9FTyioZXEHKejfRms1laWlpob29HSlnoW64oCmNjY3R1ddHU1MTU1BSqqhZEiRQKXp+PWCxGf38/jY2NM85TCIHH48Hj8dDQ0EA2myUcDjM2NlZ4wCwpKSlEZ+fqXz46OsqRI0dm1XVfKsGaegLVdWTiMRRVxea6tPRS0zQ5evQoU1NTXHXVVUuWpjqdvFjXhxIYj41g9MUQmkD6bSi1boRLQ9qARBY9kUX12mZEsvXeGNm2CGY0ixSg2FXU2pxIMfqTGAMJMGTuB8CQyIyBcKhnvtugjGWprV1BbW0thmEQiUQKD/6ZTIaioiJCoRC6rj/vIuj5NmuXgpSSeDyOz+eb1/75Vm4Xo7m5mYmJCZ5++mmuuOIKAP7whz9gmiZXX331Jc31uYT/+lpGOyMzNwoQTm3ZTeKms2nTJt7whjfwta99rbBt1apV/OxnP+OJJ56gqKiIL3/5ywwPD88Q6A0NDezdu5eenh68Xi/FxcVcffXVuN1uPvaxj/He976XvXv38t3vfveic8h/N7/xjW9QWVlJX18fH/3oR5f0PFeuXEk2m+XrX/86r3rVq9i9ezf333//jH3uvPNONm3axO2338673vUu7HY7Dz/8MLfeeislJSXccccdfOADH8A0Ta655homJyfZvXs3fr+fN7/5zUs6X4tnB1abNQsLC4tnIdFolD179gC5B8r8Q+pi2qDNh/ONb5omx44d48SJE1xxxRULFucwt0B3qk7KXGVEUmcfGLNmlkNjhxiID3A8fJyH+x/mD6f+UNjntB7iVMpNhTpBqUeg6Qm0yZOMJySnbCtwmXFM0ygsjHhIEBZl7HbWEjEgORkh4Qywv3gV44F1XOW9iv+v7P/jBcoLuLX6Vm7fdDurg6sL80kkEjz11FNkMplcX+1AYJqjt4bD4SAcDpNIJOZMY86nX85nYcVms1FRUcHGjRu57rrr2Lp1Kw6Hg5MnT/LHP/6R/fv309PTQzweR0rJqVOnOHLkCOvXr6ehoWHJIrRCCBxe3yWLc13XOXjwIMlkkh07diyLOM9jjKdJ/O40xnCy0BJNjmcwO2MIXUJWgk1gqrnPoNCH/eAYiV/1kW2fRB9IYHRFyR6fINMTJdM5SfbYBKSMXD2+CuQvrSHBzLXoQwiE/+yiiaqqBRPB5uZmrrrqKoqKihgdHSWTydDa2kpnZyfj4+PL+j2ezuVOcV9MBD0ejy95m7V169Zx00038fa3v52nnnqK3bt38573vIfXve51hRT6/v5+1q5dy1NPPVV439DQEC0tLZw4cQKAI0eO0NLSwvj44toPPtM4mgKE3rQetdhZ2Gav81H2zs2ovuUpnTofn/nMZ2Z8Dz7xiU+wfft2brzxRq6//noqKiq4+eabZ7znjjvuQFVV1q9fT2lpKX19fRQXF/P973+f//3f/y20ZvvUpz510eMrisKPfvQjnn76aTZu3MgHPvABvvjFLy7pOW7ZsoUvf/nLfOELX2Djxo38x3/8x6w2c6tXr+a3v/0thw4dYseOHTQ3N/Nf//Vfhb8zd999N3//93/PPffcU7h/H3jggVkLvhZ/Ogi5VO5FFhYWFhazyGazC34QHxwc5OjRozQ0NLBy5coZomtqaop9+/bxkpe8ZKmnCsDJkyeZmJiYYT6TTqdpaWlB13W2b99+yTXShw8fxuPxzEoLPB07zR9O/YFYNkbAHqB7spvTsdNsKdnC+tB6dFNnID5AlaeKqngVgwODbF9dTWjoMZSRo4RHR1CKG/jdKTtR6WJTtgVHaoQsCm5SSOC4spY9nhImxRguBwTLqwg6S1jpWkmxVpwzhQuH2b59+wyjn0gkwqFDh6iqqsLj8fCHP/yBYDCIaZpne2ULQTqdZtOmTRw+fJh0Ok0wGCx8bolEAiEEr3nNa+YdDZyLZDLJ2NgYY2NjjI+PFxY8Vq5cSW1t7WUTYeeSTqc5cOBAwWDvUiOo8yW5Z4j0wTGUIkcuEp7QQRWQMdGqPLk68tV+bE1+hoeHaWtrY33jGpy/jiCzJsKpISPpnJA/Hwq5tueCXGqwXYAUIMDz2ia0uouLyEcffZT6+nqSySThcBhd1wsRvFAoVOjLvNS0t7ejadq80nGXmiNHjhAIBC5pQU9KSXV1NY8//jhbtmxZ0nmNj4/znve8h1/96lcoisItt9zC1772tcJiQE9PD42NjTz88MNcf/31QK6P9lwpyN/5zncumlq/VKRSKU6ePDmjj/elIqXEiKQRNuUZF+YWFs8US/mdeSaxUtwtLCwsniWYpklnZyenTp1iy5Yts5yGIRehW84U93Mj6FNTUxw4cKDQlmgx0bDzmcTVeGt4ad1LaRtvoz/ejyENtpVuY3VRLoqtKRplzjKe7nialJbiRTtfhMfjwaxdi5mMcOrQAbxlDbhsHZzq6KDVfTXVqT000oOGSRwXZUywIVVMn9aI0+OkRJbQ4G7AoeZMdiKRCOl0mkgkgsPhIBAIMDg4SFtbG2vWrKGmpoZYLIbD4SCZTOLxeHC5XCSTSeLxODZbLnV648aNHDt2jKmpKWw2G7quI4Rg69atixLnkGtBVVtbS1VVFUePHmViYoJQKERvby9dXV2EQqFCOvzlMg+Kx+McOHCAoqIi1q9f/4wsGmRPRpFxHSOuI81cVBsB6BIjlsGxvQRbk5+BoUHa29vZtGkTgXEbiVQY4dWQkcyFxTnkxLldybVoAzBA2ASOF1bMS5znCYVCeL3eQvr22NgYQ0NDdHR04Ha7C2I9EAgs2bW73Cnul/o7I3+NljqCDlBcXMwPfvCD877e0NAwqzTpU5/61Lyiss8VhBBoxc8dwWJh8XzCEugWFhYWy8h8U44zmQyHDh0ilUqxc+fO8z6Uqqpa6Au9HA/dqqoWDHjykfwVK1bQ2Nh4aenTmThK7+OI4cNUjkZIlmyEFY1wjjN7paeSSk8l0UyU3/T+BpfmQhG580un03R3dWMIg81bN8904nUVoTtDSKGwY8cOBgcHyU6ewqukGDZLmcKLQFBMnLVmJ1muYN2aXSQSCabGp7Db7YyPjzM5OYnL5aKtrY2uri7cbjdSyhmu416vlxUrVnDs2DEMw8ButyOlxG63s2bNGtatW4fX66Wuro4jR44wOjqKz+dj7dq1rF69mqUgf59IKWlubi7MIRaLMTo6Sn9/P21tbfh8voIrvM/ne0bMySYmJmhpaaG6unpW5sdyke2LYYwkkRkzFzU3JSDBpoAmUPx2tFovvaf6OHnyJFu3bqW4uJjMZM7ZHUNC5ozozkfHz4chwa2huDXsV5diW+FH8c72BDgf003ihBB4vV68Xm/BeyByxtk/f38VFxcXBPtiFlyeqynu+ZKRxS5sWVhYWDzXsAS6hYWFxWUmH6UOBAI0NzdfMCU4/7C7XM7MiqKg6zrt7e0XjOTPi0wM9dH/h9K/D4RCIBHHP7IXVRvDuPrdoMx+cPfYPBQ5ihhKDOGxeYjFYnR3d6P5NdaUryHkmd2iKx+ZLy4u5uabb2bw0e/i6rfTb5SAniXKGBFVp86YZE05bN++nXg8Tn9/P4ODg6TTaUKhEKWlpUgp6e/vZ3h4mOuvv35WS7CtW7fidDrp7OwknU4TCARYs2YNq1evLoivi7WDulQSiQQHDx7E6/WycePGwr0ghMDn8+Hz+WhqaiKdThMOhxkdHaWnpwdN02YYzS1HT+y8Ud3KlSsvKZ35UpBSkjk6njOF086IbU3kot0ZE+G1oQTt9B7qpDc9zBVXXIHf7wdArXEjbArm1OxWTBc4IGqZE+dLq9FKL83R/nzfWZvNRllZGWVlZUgpiUajhMNhBgYGCs7++QwJv9+/oMWP56pAj8fjAMsSQbewsLB4NmMJdAsLC4vLSH9/P62trTQ1NdHU1HTRB+/pAn0uR++lIB6Po+v6BSP580Hp+gNK/z5ksA40J2ltEpGewt31e8zanciaHbPfIxTWFq9lPD3OkVNHiI5FCZYG8Qf9rC1ei8c2u49tXqAbhoHX62V1Qx3RoJeErYzWcBuxlJdsogt3cpKw/SBl8T6aAk2FFmZTU1OUlpZiGAZDQ0OoqkpRURGTk5OzjqWqKhs2bGDt2rWk02kcDkchqyFlpHAojmWJHE9OTnLw4EEqKytnLAbMhcPhKCwSmKZZiMwuZc/16Zw+fZr29nY2btw4o35/2dElRjiFCNhRVAVzIg362RC4WuliNBVhIh7jqhuvKmRe6IMJYr/oxoyc0w96ruj5tKi6KHOi3VyDqeU6HeQd5OcjfqWU8+6DLoTA7/fj9/tpbGwkk8kwPj5OOBzm8OHDSCkJhUKFCLvdfuH64cvdZu1Sjx2Px1FV1er1bGFh8bzDEugWFhYWy8j5hJRpmrS3tzMwMMDWrVvn1R4IcmJUCDGrD+xSEIvFCm3EmpubF70AIE7vBdUGWq7OUQiBrnlAH0EMH5lToEspcaadeIY9MAEN9Q2UF5XT5G+i3l8/5/6Qc71PpVLYHQ5GXU2MjsQ4Or6fhBHDbgth8xfhSqfwj3Vh/PwN2PwrkbXNCGU9QggymQxDQ0M4nU5KS0uJRCIXbDenqmohDf5XJ3/Fz7t+zkhyhJAzxM1NN3Nz082oYmki1SMjIxw9evSSotOKoix5z/U8Ukq6u7vp6+tj27ZtFBcXL/TUFocqEHYFkjrCnxepEqTAzBiMySnS8SyrrlpbEOdmQif6vQ5k5jzfn7wZXJ68OPdoqGUu7BkFnBqmac5w5hdCFL6bcwnSvPfCpSze2O12KioqqKioQErJ1NQU4XCY06dP09bWht/vL3zGc5UzPJcj6B6P51ljfmhhYWHxTGEJdAsLC4tnmOmu6M3NzQtuQaVp2pIL9NHRUQ4dOkRpaSnj4+PLEp3P940+HxMTE+zdu5eTJ09iGAblpeVstG1kXc26OYVNvha/pKSEjo4Ofvvb3+LyBpF+B8S78CcHUTU7SmYYr62UElsJW8KdZFWFrKngHD/Banc1HeLPODU5SXFxMUVFRYVo/Lnp7XPxo84f8a3WbyGR2BU7g/FB/vnIPzOeGuftG96+mMsF5PrOnzhxgo0bN156qcEZlqLneh4pJW1tbYyNjXHllVdeljphoQhsqwKk940iVAVsAnSQGYOUyKCbJnUr6nBV+AvvSR8K58T5hWrNBQifDWHLCUM15ESpcCHHM4isRDtzXUzTnPEz/Tt5bnQ9v5C0WLGZb/MXCARoamoik8kQDocJh8OcOnUKIURBrBcXF2Oz2RZl1LZYFnPsWCxmpbdbWFg8L7EEuoWFhcUzyMTEBAcPHqS4uJgNGzZcUguq6UZui0VKycmTJ+nq6mLDhg14PB7GxsaWZuyaHTDwNOgp0JwIIVCzMXA4kOWbZuybyWT44x//SF9fH263m/LycpLJJAeePoDL6ZrV71VKWehnbZomyWSSTCZDPDLBWDZLVLdRrDkoN02EgKyRRrMXMaraydgUfO5i7JoH21gXdcp+4oEXoSgKU1NTpFIpQqEQ1dXVFzy/WDbGjzt/nEtJtuVEoAsX8Wyc/+r+L/5yxV8Scl5c5M957aSko6ODwcFBrrjiCgKBwCWNcyHyPdfzkdnJyUlGR0c5efIkR48eJRgMFqLrbre7sEhiGAZHjhwhkUiwY8eOy9q6xrEphDmRIdsbhaxEZgySepp0mULN2gYcdX4U39mFBnMsdX4zOEXgu201mWO59mtq0dnUajOpg0NBcZ/9vk4X4PmIel6snxtdn/7fS4ndbqeyspLKykpM0yxE13t7e2ltbcXv95NKpUin04WWgM8ki0lxTyQSC168tLCwsPhTwBLoFhYWFsvI9AfiU6dOcfz4cVatWkV9ff0lPywrirIkAt0wDI4ePUokEmHHjh0EAgFisdiC+7afD3PFSxD9+1H694MQ2NNpyBqY616NrNo+Y9+2tjb6+voIBoMUFRUhhMButxMOh+ns7Jwh0PPi3DRNMpkMLS0txONxQqEQuqoxboyhJ30cc6VpJYVm2rjGdKJmpkgoEjsqTtVFPJFCGApbQklcW7czMDCAaZo0NDRQX19/0frsnqke4tk4Lm3mfk7NSSwb48TkiUsS6PnPJRaLsWPHjmdEpAghCAaDBINBVq1aNaPneldXFw6Hg9LSUoLBID09PSiKwlVXXbVsPgjznrdNwfWiKuwjSVKDUU70dWMrcbFmwzpUry0XWZ+GErSfN3quBO3YaryQlaQPj2FMpFFcGjJjIhNZtCY/in/ueu+8CM1Hi/MR9bxozxue6bpeqEVf6tRtRVEKn+GKFStIpVKMj4/T2dlJV1cXvb29M6Lry92fPn/ui01xf6YXFSwsLCwuN5ZAt7CwsFhmTNOktbWV4eFhtm/fPq/U6QuxFCnuyWSSgwcPoigKzc3NBSOmfHR+SaJtdi/GCz+K7H0cMdhCMp7ktKhmzc63zGizdurUKdra2nA6nbPqmB0OB1NTU4X5TI+cK4rC8PAw0WiUUCiUqwGWEpswcbtDuDMpIloKp81JOm3iSHQTN01cipvYRBSEIOiwITzBghM7zD/K6bF5UISCIQ20aX9ODdNAFSpe28LTc/MLDkIIduzYcdkEcL7nem1tLYZhMD4+ztDQEEeOHAFyqfAjIyOXted6HiEEKY/Jgal2SleVsnbt2vN+ho6tIZKPDeYc388R6s6rcyUEWoMXkGS7o5gJHWFTsK0JYl8dnPecpgvwSCRCa2srDQ0NBUPD/CJYvm79fLXri8HpdFJVVcXJkydZt24dAOPj45w8eZJjx44RCAQKgn05hHD+HK0UdwsLC4uFYTlvWFhYWCwjyWSSvXv3MjU1xa5duxYtzmHxKe6RSIQ9e/bg9/vZsWPHDIE1PWV3SbB7MFfdiPHCjzC19Z1EgpsK4tw0Tdra2ujo6GD9+vXY7fZZ55VOpwttpfJRyXw/6by52/R5KwKCUmHCHEKx2ynV6hBScCB9DJk+TbXiJKQVoygKdpkhnUzQrlfT0dHBxMREoVb43OuVTzef/nqDr4E1RWtI6kl0M5fCbJgGCT1BrbeWtUVrF3Sp4vE4Tz31FE6nk+3bt1/26HQeVVVxOp1EIhGqqqrYsWMHfr+f/v5+HnvsMfbu3Ut3d3dhIeWZZnJykv3791NVVXVBcQ6g+Oz4Xr8K4ZoWn1DAuascx5U5o0YhBLZGP67rKnFfV4X7+iocG4oLNekLIRKJ0NLSQlNTE6tWrcLpdOJwONA0DUVRCgtOuq6TzWYL9/dSYpommqZRXFzMypUrufrqq9m5cydlZWVMTEywf/9+nnjiCY4fP87o6GghHX+x5L/Li42gWzz/SCQS3HLLLYXf/RMTE3Nua2ho4Ktf/erlnu6cCCH4uDQUHwAAmnJJREFU5S9/ed7Xe3p6EEIU/D8sLKZjRdAtLCwslhHTNAu9spfKqGkxAj2fZr9mzRpqa2tniZnpKbpLbSyVjx4CZLNZDh06RCqVKvR+7+vrY2xsDJ/Ph6ZpxONxFEVh1apVM4RLPuoI4PP5UBSFbDZLVInSnekmZaboih/F5fThcXhJGTEUbwWtFdu5cvg43uwIDocToWlk178M74a/YmR8ikOHDgEU6q79fj+/+c1v6OjoKJxDaWkpr371qwkGgwghuGPbHXziyU/QH+9HIJBIytxl3HnlnQtycY9EIhw6dIjq6mpWrlz5rErrHR8f59ChQ9TX19PY2FhoA3a5eq5PJxwOc+jQoQU53NsafQQ/sBm9J4rMGGi1XhTv7MUQoSkI36XHMcbGxjh8+DCrV6+mpqamsH2u2vX8/T2X0Vz+vy+VuVzcXS4XNTU11NTUYBgGExMThMNhTpw4QSqVKvgPhEIhXC7XJd2PhmEUFtIuBUug/2ly6tQpPvnJT/Lggw8yNjZGZWUlN998M3fddVdhAfvf/u3feOyxx3jiiScoKSkhEAhw//33z9q2b9++Jb1Hrr/+erZu3TpL9H/3u9/l/e9/PxMTE0t2LAuLC2EJdAsLC4tlxOv1sn79+iUd81IEummaHD9+vGA6dr6WWPkH+eXos54X6PF4nAMHDuB2u9m5c2ehFvaaa65h//79jI6OkkwmcbvdrF+/npqamhnifDplZWWUl5fzh4E/cEA5QFqmMaRBihR1tjo2VG7DoTpIx9PszvjoXFnCXwdXEbL5MCs2Y9bsoEzRKKtihlFaV1cXbW1thMPhGccbGxvjpz/9KW9729sQQlDnq+MbL/oGuwd3czp+mgp3BddUXjNnv/bzMTQ0RGtr6ywh92xgeHiYo0ePsnbt2jlN857pnutzzW39+vVUVlYu6L1CFdhW+C++4yWSn9uGDRuoqKg4737nq11faBu3C3GxNmuqqhZS3SEXvcw7w3d1dWG32wtiPRgMznvRJW8QtxiBbqW4/2nR3d1Nc3Mzq1ev5oc//CGNjY0cO3aMD3/4w/z617/mySefpLi4mK6uLtatW8fGjRsL751r23zbk/6pkslksNvn9sWweG5jCXQLCwuL5xgLFeiZTIaDBw+i6zq7du26oFDKP1AvdZptfuxsNsuTTz5JdXU1a9asmfHwHgwGeclLXsLExAS6ruP3+wv19vl5pYwU7ZF2FKGwJrgGu2qnYm0FR8NHMTIGRRSh2lXG5BhDqSFORU9RTjkTkQmCFUWktACptX+N7i6fNb/pRmm1tbU88cQTs/aRUhKJROjp6SkY1zk1Jy+pfcmCr4eUkp6eHk6ePMmmTZuedQ+b+RZvmzdvntfclrPn+rmcPn2ajo6Oec/tmWRgYIC2tjY2bdq04NZ450bX59vG7XxIKZFSLiiTwe1243a7C/4DkUiEcDhMe3s7mUyGoqKiwud8od8li83CsQT68jIwMEBXVxeaprFu3TqCweCyH/Pd7343drs91xLzzL1TV1fHtm3bWLFiBR//+Mdpa2vjj3/8I5D7nXzdddcBzNr2yCOP0NDQwPvf/37e//73A7kuKR/5yEf45S9/yeTkJCtXruTzn/88r3zlKwF4/PHHufPOO9m/fz8lJSW8+tWv5p577rmkKPw///M/86UvfYlTp07R2NjIJz7xCd70pjedd/+nnnqKd77znbS1tbFx40Y+/vGPz9rn6NGjfPjDH+axxx7D4/HwZ3/2Z3zlK1+hpKQEyEX4N27ciKZpfP/732fTpk08/PDDC567xbMfS6BbWFhYLCPLkaq8EIE+9f+zd97hbZVnG/8dyXtvO3bseGQ6w9sZjARIyU6chp2WWWgJYXxAP6C0hZZSVtoCZbWlZRRoaRYjQEICSdgk8XY8YjsecTwk76l9vj/ynVM7sRMP2Zbh/V1XrxLp6OjVsWTrfp/nue/2drKysvDz8yMlJWVQzs32cok/Hb1ej9FoZM6cOQNWiiVJwt/fX2377S3O99fs5y9H/0KzoRmAILcgbpt3G409jdicbcT4xiDx/xVGA5zsPMlR3VHc3dwJnBRIo6WReb7zCHE/t2jq6Og46ybF4cOH6e7uJjg4eFit3DabjZKSEnQ6Hampqfj4jF41d6jIskxZWRknT54cdsSbPTPXT19bZWUllZWVJCUl4e/vP+S1jSYnTpygtLSUxMTEEftNDCXGbaDq+kCdJ4NFq9WqPydZltXqul6vp7S0FHd3d1Ws+/n59Xkeq9U6YoFuD88OQV9sNhs7d+4kPz9f/fv08ccfc+mll7Jw4cJRe97m5mb27NnDo48+esbGTlhYGBs3buTtt9+mtLSUBx54gIKCAnbs2KFWiO+///4zbjv9da1YsYKOjg7eeOMN4uLiKCwsVN+D5eXlLF++nN/97nf84x//QK/Xs3nzZjZv3swrr7wypNeyc+dO7rzzTp5++mmWLl3Krl27uOGGG5g8eTIXXXTRGcd3dnayevVqfvCDH/DGG29QUVHBnXfe2eeY1tZWLr74Yn7yk5/wpz/9iZ6eHu677z6uuOIKPv30U/W41157jVtvvZUvv/xySGsWTCyEQBcIBIIJxmAFel1dHQUFBcTGxhIbGzvozQKtVmvXCrrSXl9bW4tWqz1nG3fvqqEiPAqbC3kq+ylMVpPaPq7r0fF45uMsj1qurlvBz8UPnazDYDNg9jXTKXcS7x/PJZGXDOo6+Pj49JmZP534+HicnJzUVu6AgAC1lftcueAWi4X8/Hx6enpIT0+3e+v3SFASB1paWkhLS7PbfOdwM9d7o2TD19fXk5qaire3t13WZi+Ubojk5GS7VyP7a4UfTHV9pAK9N703XaKiorBYLGp1vaioCIvF0qe6PpIMdDgl0KdMmTLidQv6cujQITWNobep4549e4iKiup3lMUelJaWIsuymihwOrNmzaKlpQWr1YqHhwcuLi59xkP6u603+/bt49ChQxQVFamJHLGxser9jz32GBs3blSr7dOmTePZZ59l8eLFvPjii+rv7RdeeIGXX365z7ktFkuf3+tbtmzh+uuvZ9OmTQDcfffdfPPNN2zZsqVfgf7WW29hs9n4+9//jpubG7Nnz6ampoZbb71VPea5554jKSmJ3//+9+pt//jHP4iMjOTYsWPqa5o2bRpPPvlkv9dA8N1BCHSBQCAYZZR4MHuh1WoxGo0D3i/LMqWlpVRXV5OQkDCsNlt7VdDNZjM5OTkYjUYSExPJzs4e8FilHVd57t7zqx9UfoDJasLX5b+t0b4uvrSaWqnrrkOr0dJj6cHdyR2LxUJbWxvOGmcWRy1mbexaPJ08meQ5CY00OMHg6uqqrrf3z06SJIKCgpg9ezaSJPVp5a6rq6O4uBgvLy+Cg4MJDg7G29u7j9g0Go1kZ2fj7OzsEDnivbFYLOTl5WEymc5w97cng81cDwoKwt/fXxWahYWFtLa2kpaWNibZ8INFlmXKy8upqakhJSVlTLohBjKaUz5DSnVdSTkYDZycnNT3uSzLdHV10djYSH19PceOHcPFxUUdCfH19R2yWO/u7hYmcaNAZmZmv7drNBqys7NHTaArjFbSQ05ODpMnT1aF7Onk5uaSl5fHm2++2WctNputTxThxo0bz2g/37FjRx/hXFRUxC233NLnmPPOO49nnnmm3+cuKipi3rx5fUT+6d0Kubm57N+/v9+xjvLycvV1paSk9Pscgu8WQqALBALBBONsFXSz2UxeXh5dXV0sWLBgWDOcI41xU+jq6iIzMxNPT08WLFiAyWQasCLdW2AAZ7g/n+g8gUTf2yRJQkLCbDOTGJRIpi4TrazFZDBh0VqY7DeZK6ZdQZT34Ny9T2fJkiVqtVtZV0REBGvWrFHXcXort8lkorGxEb1eT1VVlSpilLzw3Nxc/P39iY+Pt3vu9UjovXGQmpo6qFEIe9Ff5rper+fo0aNYLBYCAgIwGAxYrVbS0tLGPXe9N6dX9cdjZnogozlZlmlqalJ9HJSK9mBm14eKJEl4eXnh5eWljjQcP35c/TlarVYCAgLU6vpgfoYiB3106Orq6vd2xcBztFDSKYqKili/fv0Z9xcVFammksPhXJ1InZ2d/PSnP+WOO+44477eCRC+vr5MnTq1z/1D3eQeDp2dnaxZs4YnnnjijPt6m2CKTavvB0KgCwQCwQRjIAGtuKO7u7uzcOHCYVdn7dHirswaR0ZGMn36dCRJwmKxqBW+3kK792ztQK7PUV5RFDYXYrVZMVgNmGwmNGiwylaivKK4ftb1/Cv3X3xW8xkenh6khaexMnrlsMU5nKoQLl++nPPPP5+mpia8vb0HdL9XcHFxOcPVXK/XU1hYiMlkwsPDAz8/P8xms8MIze7ubrKysvD19WX27NnjunGg1Wr7VGVbWlo4evSomhGek5Ojbnic3p0w1siyrDr9O1JVXxHgJ06coLKykoSEBPUzrfxPOU7ZCLP3z9zZ2RlPT0+MRiNz586lo6ODpqYmamtrVcPAwMBAgoKC1Fzr0xEV9NFBaZk+vZItSdKoVs8DAwP5wQ9+wAsvvMD//M//9BHU9fX1vPnmm1x77bXD/kzPmzdPNY/sr4qenJxMYWHhGeJ7OMyaNYsvv/yS6667Tr3tyy+/HDCxZdasWfzzn//EYDCoVfRvvvnmjPVt376d6OjoMd0gFTgmjrN9LxAIBN9R7C0i+hPoer2er7/+mpCQEFJSUkbUOj3SFvfq6mqys7OZNWtWH6f23i25Cv2ZwfXHsinLkCSJuu46mo3NdJo7aTe302PpobGnkXs/vZePT3xMQngCj1/4OD+Z/RNqu2rZXbWb8rbyYb8WOBWVN2XKlHOK89NRXM19fHwwm83ExcUxadIkamtr+fzzzzl06BAVFRV0dHSMWtvnuWhra+PQoUOEhIQwZ84ch6rqm81mjh07hqenJ4sXL+bCCy8kMjKSjo4Ojhw5wueff05hYSE6nW5UTA3Phs1mo6CgQJ3VdxRxrlBVVUVZWRkpKSkEBgbi4uKCm5sbrq6uODk5odFo1M+exWJRN0Ds6T3R+zPt4+NDTEwMqampnHfeeURFRWEwGMjLy+Pzzz+noKCAurq6Pi35o+Xi3tzczMaNG/Hx8cHPz4+bbrqJzs7Osx5/++23M2PGDNzd3YmKiuKOO+6gra3N7msbCy644IIzfs9KkoSHhwfJycmj+tzPPfccRqORZcuW8dlnn3HixAl2797ND37wAyIiInj00UeHfW7ld8SGDRvYu3cvFRUVfPTRR+zevRuA++67j6+++orNmzeTk5NDaWkp7777Lps3bx7yc/385z/n1Vdf5cUXX6S0tJQ//vGP7Nixg3vvvbff46+55hokSeLmm2+msLCQDz/8kC1btvQ55rbbbqO5uZmrr76aw4cPU15ezp49e7jhhhvG/PebYPwRWzQCgUAwwdBqteqMqeJqXVZWxuzZswkPD7fL+YfzRd1ms1FUVERDQwOpqalnOGz3FuinV/TOJs6bDE18VfcVGjTI/H8LPBJOkhMyMh9Wf4iEhIzMieoT7Dq5iwDXAFqMLdhkG84aZxZNWsQDKQ/g5nR2Azd7Issyx48fp7q6mqSkJNWROjY2FqPRqLbCHz9+HBcXF7VyrMxdjzaNjY3k5eURFxfncGZcPT09ZGVl4ePjo1b1tVrtuGWu98Zqtaomf2lpaQ6XQ9zbrO50B/6BZteHG+N2NgZycVeMvhTDwPb2dpqamqipqaGoqIjPPvuM7u5utFrtqFTQN27cSF1dHXv37sVsNnPDDTdwyy238NZbb/V7fG1tLbW1tWzZsoX4+Hiqqqr42c9+Rm1tLdu2bbP7+kabyZMn86Mf/Yg9e/bQ0NAAQFxcHCtXrhz1jaZp06Zx5MgRHnroIa644gqam5sJCwsjIyODhx56aMiboKezfft27r33Xq6++mq6urrUmDU4VWE/ePAgDz74IBdccAGyLBMXF8eVV1455OfJyMjgmWeeYcuWLdx5553ExMTwyiuvsGTJkn6P9/Ly4v333+dnP/sZSUlJxMfH88QTT7Bhwwb1mPDwcL788kvuu+8+Lr30UoxGI1OmTGH58uUOtXEqGBskeby27QUCgeB7gtlstmtlSqfTUVpayoIFCygoKKC5ubnfL+PDJTMzk6CgoCGJNpPJRG5uLiaTieTk5H4Fks1m4+OPP2bJkiW4uLioguD0efPeyLLM68Wvk6nLJL85X22Pt8pWXCQXOiwd/T5OgwZ/V3+0khaTzYTJZuLyuMvZNG/ToF/TSFA2K5qamkhKSjqr43jvuevGxkYsFosabRUUFDQqAlDJ6o6Pj+8z3+gIdHZ2kpWVRUhISJ8OjIFQ4r+U69fa2mrXzPXeKG32VquVpKQkhzL5A9QNoZSUlCG73CsiXRHuvf0gBopxOxtlZWXYbLYBTbv6w2QysW3bNrZu3apmQa9Zs4YVK1Zw6aWXjljAKe/5w4cPk5qaCsDu3btZuXIlNTU1g97g3Lp1Kz/60Y/o6uoa03Zkg8FARUUFMTEx50yLGAzKRoijjNsIBPbG3p+ZsUJU0AUCgWCUGY0Wd7PZzLfffotGo2HRokV2/YI11Aq6Iqi8vLyYP3/+gF9YlS/3ZrNZraydTZzDqSi18vZygt2D1eOdNc5obBp6LD0DPs6GDY10SlS4al2xylY+qv6Im2bfhKt2dL+MKkZ9ZrOZ9PT0c34pOH3uuqOjA71eT3V1NYWFhfj6+qr3j7Si2DtH3B5Z3famtbVV9S4YbDTgaGWun46SSCBJEsnJyQ41J6p0a5w4cWJY4hzOrK4PJsbtbAwnB93FxYVrrrmGq6++mkmTJvHHP/6RkpISHnvsMXbt2sUbb7wx5NfVm6+//ho/Pz9VnAMsXboUjUbDt99+2695WX+0tbXh4+PjUO+B4eBooxkCgeAUE/s3i0AgEHwP6e7uxmAwEBQUNCpu4EOZQVdEUFRUFNOmTTuroJJlGY1Gg16vJzw8fFBCqcfSg9lqxt/dH39Xf/Q9ejSyBqvt3OszWo24O7kjI2O1WWkxtrAlawvLpiwjJThlVAzGDAYD2dnZuLq6DssNXZnX9fHxIS4uDoPBgF6vR6/XU15ejpubm1oZ9vPzG9LPXpZlSkpK1BEER8sRV1rup06d2sdVeajYI3P9dEwmE1lZWbi6ujJv3rwhC8/RRIl5O3nypN2c5PtrhVfEeu8Yt7NV161W67C7P2w2G93d3SxevJjrr7+exx57DLPZPLIXxSkzstMduZ2cnAgICKC+vn5Q52hsbOSRRx45I2ZLIBAI7IUQ6AKBQDCBOHHiBEVFRUiSpGZx25vBxKzJskx1dTXHjh0b1Oy7MusaGxvLyZMnKS0txd/fn5CQEIKDgwesMge7B+PreirvfG7gXD6r+QyD1XDqdUvAAENaEhJm2Yyr7EqrqRWzzYyExL4T+zhYe5DL4i7j5tk32/X6dXR0kJ2dTVBQEDNnzrTLxombm5saQWaxWNRW+Pz8fGw2myo0z1UZtlqtFBQU0NnZSXp6+qjOaA+H+vp6jh49aveW++Fkrp+OwWAgKysLT09P5s6d61DzoLIsU1paqsa8jcbM9tli3M5WXVe8JoaDEvfVexPpbO/v+++/v994qt4UFRUNay29aW9vZ9WqVcTHx/Pwww+P+HwCgUDQH0KgCwQCwQTAZrNRXFxMXV0dc+bMIS8vb9Se61wt7r3N4NLS0vDz8zvr+Xq3ykZHRxMTE6PODDc0NFBSUoKXlxfBwcGEhITg5eWlCmdPZ0/OCzuPD6o+oKO9gxjnGJo0TXRZupjsNRmj1cjx9uPqc0lI6v9brBba5XZVnPu4+ODh5EGPpYft5du5IOICZvnPGvkF47/V35iYGKKjo0dl48TJyYmQkBBCQkL6rQz3Nknr3bqqtGbLsuyQpmYnTpygtLSUhIQEgoKCRvW5zpW5rkR/Kbn1PT09ZGZm4u/vz6xZsxxOnB87dgydTkdqauqYtSsPZDTXu8oOp953kiSpJpBDobu7Gxh85vM999zD9ddff9ZjYmNjCQsLQ6fT9bld2fgKCws76+M7OjpYvnw53t7e7Ny50+H8BwQCwXcHIdAFAoFglBmpWDOZTOTk5GA2m1m4cGGfStZotNpqNJo+cUdnW8vZKrGK0ZRSYevt1O7h4cGUKVOYMmUKJpNJdTSvqqrC2dm5j6N5WlAa1eXVFFJIaEgo6Z7ppIelkxSURHl7OY8cegRdjw6LbCHUPZRon2iy9Fl0W7oxWAx9xLkkSbg7udNh7uCruq/sItBramooKSkZU8O1/irDSiv8sWPH8PDwUA3SysrKcHd3d8jW7IqKCqqqqkhOTj7nRo+9OX32v7OzE71ez8mTJykqKsLT05Oenh6CgoIcUpwXFxfT2NhIamrquHVEDFRdb2tro729nYiICCwWS5+89cFcx66uLpydnQftraH8HM/FwoULaW1tJTMzk5SUFAA+/fRTbDYb8+fPH/Bx7e3tLFu2DFdXV957770JZTYlEAgmHkKgCwQCgQPT3t5OVlYWvr6+qjGVMv85HBOmwTBQBV0xg/P29j6nSdbp1bSzmcG5uLio8Vm9q5oFBQWquJ/qOZUN6RuQnCVcNC7quWJ9YlkZvZKv67/GSXLCWeNMm7GN8yedz4a4Ddz75b0YLAY8nf9biVMea7aNbKZVmf09ceIEycnJZ8TKjSVKPnNUVJRqklZXV0dlZSUajQYfHx8aGxsJDAx0CGMrpfqrtGaP9zy8JEl4e3vj7e1NbGwsTU1N5Obm4urqSmNjI1988UUfo7nx3OiQZZmioiKam5vHVZz3h0ajoaOjg/z8fOLi4ggJCVGd4Xv/PlA26wZyhu/s7MTT09PunSizZs1i+fLl3Hzzzbz00kuYzWY2b97MVVddpY7pnDx5kksuuYTXX3+d9PR02tvbufTSS+nu7uaNN96gvb2d9vZ24NTGgCNtegkEgu8G4/9XWiAQCAT9Ul9fT35+PrGxsX0crZUvhIM1chsq/ZnE6fV6cnNzB20Gp3wpH2o0U++qpiKSvLy8sFgsfPHFFwQEBKj3u7m5oZE0bIjbQJR3FNn6bLot3SwIW8CCsAWEeoRyfvj57Knag00+5eoOp8zjNGhIDUk9x2oGxmazcfToUVpbW0lPTx+V2d/h4uzsjJubG62trURHRxMYGEhjYyNlZWXk5+efcQ3HGpvNRmFhIa2traSlpTmck3RbW5s6rhATEzOumeunI8uyeu1SU1MdrpKrbCjGxsaqMY2nV9d7m85B/0ZzikAfDd588002b97MJZdcgkajYcOGDTz77LPq/WazmZKSErXNPisri2+//RaAqVOn9jlXRUUF0dHRo7JOgUDw/UUIdIFAIBhlhloFkmWZsrIyqqqqSEhIOMN1WJKkQRm5DZfeFXRZlqmqqqK0tHRIZnDK3OlwK2AnT56kuLiYmTNnEhERAaDOrdfX16tz64rJ3ILQBSwMW3jGea6Zfg2ZukwaexrRSJpT2c4SXDDpApKCk4a1NrPZTG5uLlarlfT0dIfLENbpdBQUFDBt2jQiIyMBCAgIYPr06XR1dfWZ/ff09FTFuo+Pz6jMzvfGarWSl5eHwWAgLS3N4a5dc3MzOTk5fZzkNRoNgYGBBAYGMn369DP8E0Yrc/10lE2hjo4OUlNTHe7aKeI8JiZGFee9GWh2vT+jua6urlGpoMOpz8Jbb7014P3R0dFqBjzAkiVL+vxbIBAIRhsh0AUCgcCBsFgs5Obm0tXVxYIFCwaMTBpKFNpQUc6tVDr1ev2gzODsIc6VzYmamhqSkpIICAhQ7xtobr2yshJnZ2dVrPeOH4v0iuSZC55hR/kOsvRZeDp7csnkS1gZvRKtNPTW1J6eHrKzs/Hw8CApKcnh2lsVw7U5c+acsbEDnJEXrlzDrKwsNBqNKtYDAgLs/toUszqA1NRUhzPZUtzxZ8yYoW4Knc5YZa6fjs1mo6CggK6uLlJSUhxOnHd0dJCVlUV0dPSgKsq9Z9d7e1Uowv3LL79Er9cjy/KobxoJBAKBoyEEukAgEDgIXV1dZGVl4ebmxsKFC8/65X60K+hms5nDhw9jtVpZuHDhWVtplS/YyozpcMW5EgXW0dFxzrbxgebWe8ePhYSEEBgYyCTPSdw277Yhr+d02trayMnJITQ0lBkzZjiUcDh9Hn4whmvOzs5MmjSJSZMm9WnjLikpwWg09mmFH6kgNBqN6nvb0czqABoaGigoKGD27NnndPPuzWhkrp+OzWYjPz+f7u5uUlJSHM6Fv6Ojg8zMTKZMmTKsdu/TZ9E//vhjXnrpJe644w6H+owJRo9XX32Vu+66i9bW1vFeikDgEAiBLhAIBKPMYL5kKhW4yZMnM3369HPObTs5OY2aQDeZTHR2dhISEsLcuXOHZAY3XHFuMBjIyclBq9WSnp4+JBFyuhu3IpLKy8vtNnOttI3HxcURFRXlUMJBib1rbm4mLS1twK6Ls3F6G7fSCl9bW0txcTHe3t7qNewdgzcYuru7ycrKws/Pj/j4eIdyQwfU1zhv3rxBOYEPhD0y10/HZrORm5uL0Wh0yK6Dzs5OVZzHxMSM+HwHDhzgRz/6ES+99BI//vGP7bBCgaNw/fXX89prrwGnNraioqK49tpr+cUvfjEqz1dZWUlMTAzZ2dkkJiaOynMIBKOFEOgCgUAwjsiyTGVlJWVlZYOa8VYYrQq6EtOl1WpJTEwclBmcMp85XOHV3t5OTk4OgYGBI46zOl0kKUJTmVsfjtCsrq5Wfz6hoaHDXttocPpMtz1MwyRJwsvLCy8vL2JiYvodJ1CqwgEBAWf9eSmtz2FhYUyfPt2hNjbgvyMBiYmJfcYp7MFQM9dPx2q1kpubi9lsJiUlxSHF+ZEjR4iKirKLOP/iiy+48sorefrpp/nxj3/scO8VwchZvnw5r7zyCkajkQ8//JDbbrtN7eQRCAT/RQh0gUAgGCesVitHjx6lqamJ9PR0fH19B/1Yewv03hsFMTEx1NTUDNqpfSRmcEplOiYmhujoaLt/Ke89L6wITZ1OR0VFhVrRPH1uXUGWZUpLS6mtrR2XnO5zoWTSS5I0qtXV08cJWlpa0Ov1FBYWqkJTqQz37nxobW0lOztbra46muCqqKigsrJyTH6258pcVzaOgoKC8Pb2xmazkZOTg9VqJTk52SHFeWZmJpGRkcTGxo74fN988w2XX345jz/+ODfddJPDvVe+a8iyTHt7O21tbUiSRGBg4JikKbi6uqojJLfeeis7d+7kvffe46c//Wmf48rLy7n77rv55ptv6OrqYtasWTz22GMsXbpUPSY6OppbbrmFsrIytm7dir+/P7/85S+55ZZbANRNo6SkU2agixcv5sCBA6P+GgUCeyAEukAgEIwy/X3ZNBgMZGdnI0nSOWe8+8OeAl1xh25sbCQ9PR2AqqqqAY/vXTkfiRlcVVUVx48fH7PKdH9z6zqdTp1bVwRUYGAgkiT1mYd3tCiwnp4esrKy8PLyYs6cOWM2063VatWq78yZM+ns7ESn03HixAkKCwvx8fEhODgYJycnjh07xvTp01UneUdBmdevqakZlwz20zPXjUYjTU1NaoeC8rN0dnZ2yMp5V1cXmZmZREREEBcXN+LzZWZm8sMf/pDf/va3bNq0SYjzUcZms3Hs2DFaW1uRJAlZljl58iSTJ09m8uTJY7oWd3d3mpqazri9s7OTlStX8uijj+Lq6srrr7/OmjVrKCkpUdMVAP7whz/wyCOP8Itf/IJt27Zx6623snjxYmbMmMGhQ4dIT09n3759zJ492+G8GwSCsyEEukAgEIwxLS0t5OTkEBQUxOzZs4fV0m0vgW4ymcjOzu5jBtfZ2anOlPfGXmZwNpuN4uJi9Ho9KSkpQ+ocsBfnmlvXarU4OTmRmJjocOK8vb2d7OzscTer6y004+LiMBgMNDY2UlNTQ0dHBy4uLnR3d9Pc3Nxvh8J4IMsyJSUl6HQ60tLSHCK/3tXVVd04MplMHDlyBIvFgs1m44svvhi3zPX+6Orq4siRI3YT57m5uaxbt44HH3xQmMKNEfX19aoZW+/4uJqaGnx8fPDx8Rn1NciyzCeffMKePXu4/fbbz7g/ISGBhIQE9d+PPPKIWm3fvHmzevvKlSvZtGkTAPfddx9/+tOf2L9/PzNmzFD9JAIDA4dk/CgQOAJCoAsEAsEYoFQqampqKCoqYvr06SMyG7OHQFfmg319fZk7d65auVNi1npHHNnLDM5sNpOXl4fJZGL+/Pl2mZkeKb3n1sPDw8nMzMTZ2RmtVsu3336rth+HhISMWjbzYGlqaiIvL0+Ns3IkQePm5obNZqO7u1s1ZertrN+7FX48qsKyLFNYWEhLSwupqakOt/GixNC5uroyf/58NBrNuGWu94dSOQ8PDycuLm7Ez11QUMCaNWu4++67uffeex3qvfxdRqfTDXhfY2PjqAr0Xbt24eXlhdlsxmazcc011/Dwww+zdevWPsd1dnby8MMP88EHH1BXV4fFYqGnp4fq6uo+x82bN0/9b0mSCAsLO+vrEwgmCkKgCwQCwRigOG3X1dWRnJxMYGDgiM43UoGu0+lUoXf6l21FqCsC3V5mcN3d3eTk5ODu7k5aWtpZ3eHHg9bWVnJycggPD2fatGlIkoTJZEKv16vRWeeaWx9N6urqKCwsZNasWYM2ExwrZFnm+PHjZ8S8KR0K7e3tagv30aNH8fPzU8X6WFSxlRzxzs5OUlNTHWJjqDdms5msrCxcXFz6xNCNR+Z6f3R3d5OZmcmkSZOYOnXqiMV0UVERa9asYdOmTTz44INCnI8hFotlWPfZg4suuogXX3xRHTca6G/Avffey969e9myZQtTp07F3d2dyy67DJPJ1Oe409/zkiT12/0lEEw0HOvbkUAgEHwHkWWZI0eOYDQaWbhwoV0qd8MV6L3N4ObOndtv658iDqxWq/qFZ6RmcC0tLeTm5jJp0iSHdPNuaGjg6NGjTJs2rc/MtIuLCxEREURERGC1WtVZ4by8PAC1mhkYGDiqGw5VVVWUl5eTkJBAUFDQqD3PcOjdNp6amnpGzJskSfj6+uLr68vUqVPV+DG9Xk9paSnu7u7qpoevr6/dNz0Up3slqszRZlHNZjOZmZlqRvxAr38sMtf7o7u7myNHjhAWFmYXcV5aWsrq1au5/vrrefjhhx3ud8F3HR8fH5qbm/u9b7T9GDw9PZk6deo5j/vyyy+5/vrrWb9+PXCqol5ZWTmk51I+56MVRyoQjCZCoAsEAsEoI0kSUVFRdhVxWq32jGrCuTjdDG6g2W9FIPQW6CMR50rl11ENwxSzurlz5541B1ur1RISEkJISEgfgVRWVkZBQUGfvPX+YrOGu75jx45RV1c3bvP6Z0N5T7W3t5OWljaoGene8WMWi0Xd9MjNzQXsu+lhsVjIzc3FarU6pOGayWQiMzMTDw8P5s6dO+jNidHIXO+Pnp4eMjMzCQ0NVbtKRkJFRQWrV6/mqquu4rHHHnMIX4LvGxEREbS0tPSZP4dTgvZsv//GkmnTprFjxw7WrFmDJEn86le/GnJlPCQkBHd3d3bv3s3kyZNxc3NzuN+fAsFACIEuEAgEY8CkSZPs2no31Aq60WgkJycHm812Ttd4RYybTCY0Gs2InNrLy8s5ceIEiYmJI27rtzdK5behoWHI4negvPXa2lqKi4tVN/Pg4OBhz60r4retrc0hneSVnG6TyURaWtqwKtNOTk6EhoYSGhrar1mfYpAWHBw8ZIM0s9lMdnY2Wq2W5ORkhxupMBqNZGZmqk78IxGrI81c74+enh6OHDlCSEiIXbpeqqurWblyJWvXruUPf/iDEOfjhKenJ/Hx8VRXV9PR0YEkSQQEBBAVFeUwn5E//vGP3HjjjSxatIigoCDuu+8+2tvbh3QOJycnnn32WX7729/y61//mgsuuEDErAkmDJJ8+haaQCAQCOyOYopjL6qrq1UX9HPR0dFBZmYmfn5+fczg+kNxav/yyy+xWCyqOdpQq3BKxnt7ezuJiYlntD2PN0rbc09PD0lJSXZ1xzYajWoLd1NTk1rNDAkJGXQLt1L5NZvNJCUl2a0iby8U8avRaJg7dx42yQmtRsLFyX7tyopBWmNjIy0tLXh6eqpV4XMZpJlMJrKysnB1de0z0+0oKOLc29t72EkOg6F35npjYyPt7e1nZK73dx0VcR4cHGyXpIDa2louvfRSli5dyksvvSTE+TAxGAxUVFQQExNjFx8Fm82GJElizEDwncXen5mxQgh0gUAgGAMsFotdZ+FOnjxJTU0N8+fPP+txOp2O3NxcYmJizum83NsMzmaz0dbWhk6nQ6fT9ckJDwoKOqvgMRqNartyYmKiw838Kt0EWq2WhISEUW177j23rtfrgVMt3CEhIQQGBvZ7HY1GI9nZ2aphmKNUtRQMBgPZ2dm4ubsTEjWL2hYrJouMpIEgLy3Rwa52FeqAapCmCE2NRtOnFb73dTQYDH0y4h1NDBoMBnXDLD4+fkzFUe/M9aamJpycnPoYzWm1WgwGA0eOHCEwMJCZM2eOeH319fUsX76cRYsW8fe//93hNksmEhNVbAgE48VE/cwIgS4QCARjgL0Fen19PRUVFSxcuLDf+2VZpqKigvLy8gHN4E4/3mazYbVaz2hpV1y4FbFuMBjUyKzg4OA+Aryzs5Ps7GxVfDjal/He6xvNymV/yLJMa2urKtYNBsMZc+tdXV1kZWXh7+9PfHy8w4nL7u5udX0B4dMo15mQZXDSSthksFhlAry0zJnsNmrC02az9bmORqORgIAAtSJcUFCgXj9HqwwqM90BAQHMmjVrXNdns9loaWlRuz2MRiO+vr50dnYSGBjInDlzRrw+nU7HypUrSUxM5PXXX3e4zaaJxkQVGwLBeDFRPzNCoAsEAsEYYG+BrtfrKSkp4fzzzz/jPiVSqqmpieTk5HPOViuV88GawSktszqdjo6ODvz8/AgJCUGr1XLs2DGioqKIjY11OHHU3NxMbm4ukZGRdslxHildXV3odDr0ej3t7e14eHjQ09NDWFgYs2bNcjhx3tHRQVZWlhq1lV1loNtow83lv+u0WGWsNpk5ke74eYz+5owsy2orfH19PR0dHTg7OzN58mRCQkIGbOEeD5S28aCgILtUpu2JLMtq0oJGo8FsNo84c72pqYlVq1Yxffp0/vWvfzmcQd9EZKKKDYFgvJionxmxlSkQCARjgL2/jGu12n4za5X2aFmWz2kGB6gRakNxavfy8sLLy4uYmBgMBgN6vZ7q6mq6u7vV5+vs7MTLy8thRIjiJD9z5kwiIiLGeznAKbOmmJgYYmJiqK2tpbCwEA8PD+rr62ltbe2Ttz7e17GlpYWcnByio6NPZXJbwWiW0Wr7rkurAbMFeoy2MRHokiTh6emJzWajsrKSqKgovL290ev1HDlyRG3hDg4OJiAgYNw6OpQccXsZrtkbo9FIUVERISEhxMfHq+76w81cb2lpYd26dcTExPDWW28JcS4QCARDQAh0gUAgmID05+Le3t6uth/PmTNnUGZwyjmG69Tu4uJCV1eXamZmNpvR6XRUVlb2MUcbL5GptPpXVVU5pJM8nPITKC4uZu7cuYSGhvaZW1dm+RWxPtDc+mii1+vJz89n+vTpTJ48GQAnjXxKjFtl0PYehwBJAmc7z6CfjdbWVrKzs4mOjiYmJgaA8PBwtYVbr9dTXFyMyWRSRzOG4mY+Urq6usjMzCQsLMwuUWX2RjGs6z0TP5LM9ba2NtavX09oaCj/+c9/HM6DQiAQCBwdIdAFAoFgAnK6QG9oaCAvL4/Y2Nhztpf3NoMDhu3ia7FYyMvLw2AwMH/+fNUJfdKkSWrUk2JSJ0mSKjLHqpJps9koLi6msbGR1NRUvL29R/05h0LvzYOkpCQCAgKAM/PWlXnrY8eOqfPWISEhYyIya2trKSoqYs6cOYSGhqq3azQSob5OVDeaMVtknLRgk8FklvF01eDvOTabCM3NzeTk5DBt2jQiIyP73KfRaAgMDCQwMJAZM2aooxknT56kqKgIHx8fVWSOVrdHZ2cnmZmZREREOMRYxeko4tzX13fAmf3BZK63tLRgsVg477zzuOaaa/Dx8WHHjh0Olz4gEAgEEwEh0AUCgWACotVq1db0iooKjh8/zrx58/qIqP4Y6rz5QPT09JCTk4OrqytpaWlntLBqtVpVkPc29SouLsZsNqvCKCgoaFTaX5XNA6PRSHp6usPNnsmyTHFxMXq9/qybB5Ik4e/vj7+/f5+89d4iU+lS8PT0tOsaq6urKSsrG7DzIDLQBZNFRt9hxWCSkSTwdNMwY5IrWs3oC1Glsj9z5kzCw8PPeqwkSXh7e+Pt7U1sbGyfKLyKigpcXFzU9+tQIwUHQok3jIyMdEhPBkWc+/j4MHv27EGvr7/M9ddee41nn32Wzs5OvL29eeSRR2hvb7drfKFAIBB8XxAmcQKBQDAG2Gw2zGaz3c5nMpn49NNPCQsLo7W1leTkZHx8fM76GHuJ87a2NnJycggJCWHGjBlDEjNKLrPiCN/V1dXHydweQlqJAXNxcSEhIcHhnKOtViv5+fl0d3ePKIPdaDSqTubNzc24ubn1yVsf7s9XlmXKy8upqakhKSnpnCaDXUYb3UYbTloJXw8NmjEQovX19Rw9evSMyv5wUESmEuFmsVj6tMIPp0VbEeeKYaKjYTKZOHLkCN7e3nZxa+/p6eHyyy+np6eHpUuXsnfvXo4cOcKKFSt4//337bRqwUQ1vBIIxouJ+pkRAl0gEAjGAHsL9J6eHg4ePIiPjw8pKSnnbCUdjhlcf9TX11NYWMjUqVOJjIwc8Rd7xYFbp9PR1tY24opwR0cH2dnZBAYGOqQTutlsJicnB1mWSUpKslv3gGLqpYhMGN7ceu/KfnJyMl5eXnZZnz05efIkJSUlzJ07l+DgYLueW5ZlOjo61I2Pzs5OfH191Wt5+rx1f7S1tZGVlUVMTAzR0dF2XZ89MJlMZGZm4unpaZeceKPRyNVXX01rayt79uxRN3QaGhooLS3tN2lCMDwmqtgQCMaLifqZEQJdIBAIxgB7CnTFDM5gMHD++eefVUSdbgY33HlzZV66srJyVIQRnBIOilhvamrCw8ODkJAQgoOD8fHxOee6m5qayMvLY8qUKcTExDhcS3FPTw/Z2dl4eHgwd+7cUZvDt9lstLW1qRFuRqNxwNz60x9XUFBAR0cHycnJDtme3LvtXpnZH02UlILGxkaam5tV40PFXf90cauI89jYWKZMmTLq6xsq9hbnJpOJH//4x9TW1rJv3z78/f3ttFJBf0xUsTEYHn74Yd555x01NeD666+ntbWVd955B4AlS5aQmJjI008/PW5rFEw8JupnxrH6/gQCgeA7ir3EYn19Pfn5+cTFxVFWVsbZ9lhlWcZms2G1WlVhPpx12Gw2CgsLaWlpIS0tbdTM1lxcXIiIiCAiIkKtCOt0OrKyslTjtIFmhBUn9Pj4eCZNmjQq6xsJSmVfycAezcq+RqNR59anT59+xtx674qw0qWgzOybzWbS0tLs5rzd3GmhrtWMwSzj7aYh3N8ZL7fhbUwoG0QpKSnnbLu3F25ubn3mrZUuhfz8fGw2m+qlEBgYSFdXF9nZ2Wp3iaNhMpnIysrCw8PDLuLcbDZzww03UF1dzSeffCLEuWBA1qxZg9lsZvfu3Wfc9/nnn3PhhReSm5vL7bffPg6rEwgcDyHQBQKBYAIgyzLHjx/vYwZXVVV1RtRa7+OVeXNJkob9ZdxkMpGbm4vNZiM9PX3MXJmdnJwIDQ0lNDRUjcvS6XQUFBRgs9n6tG9XVlZy4sSJPk7ojkRzczO5ubnjUtmXJKlPbn3vufXy8nLc3NwIDAykubkZFxcXUlJS7DazX9NspqzeiE2WAYm2biv1bRbmRrrh7zn455BlmbKyMk6ePDmubvynu+u3tbXR2NhIRUUF+fn5AISGhjpklJ/ZbCYrKwt3d3fmzp07YnFusVi45ZZbOHbsGPv37ycoKMhOKxV8F7npppvYsGEDNTU1alSjwiuvvEJqairz5s0bp9UJBI6HYw3nCQQCgeAMrFYreXl5nDhxgvnz56umWP1locOZZnDD/TLe1dXFoUOHcHFxITU1ddwik5S4rFmzZnHhhReSlJSEq6srZWVl7N+/n6qqKqZMmeKQ89INDQ1kZ2czbdo0h3DydnV1ZfLkySQlJbF48WKmTJlCXV0d3d3ddHZ2UlJSgl6vH3DjZ7CYLDLHdUZkGZy1Ei5OEs5aCYtVpqzedNbOj97IskxJSQl1dXWj2r0xVJTosalTpzJ9+nQ0Gg1hYWGYzWa++uorvvrqK0pLS2ltbR30ax0tzGYzmZmZuLm52UWcW61WNm3aRE5ODvv27SMkJMROKxWMFbJso7OzDJ3uE/T6AxgMtaP6fKtXryY4OJhXX321z+2dnZ1s3bqVm266iYcffpjExMRBn/Of//ynumEXFhbGNddcg06n63PMe++9x7Rp03Bzc+Oiiy7itddeQ5IkWltb1WO++OILLrjgAjWd4I477qCrq2sEr1YgGDmigi4QCARjwHCFmeJILkkSCxcu7COS+xPo9nJqV+a5IyMjHSq/WRFGnp6etLW1ARASEoJer+f48eP4+fmprfDjPUOtzEvPmzdvVGb2R4rRaKSiokJ1429vb0ev11NSUjLoufWBaO22YrHKOGv/O1YhSRJazSnX9x6TjIfr2d9Tsiz3Ga0Y759nfzQ2NpKXl9dntKK3YZ8yT9u7FX4sUwWUyrmbmxvz5s0bsTi32WzccccdfPPNN+zfv98hx0kEZ8dmM1NXt5OenhpO1elk2tqy8PVNISjowlH5Xe/k5MS1117Lq6++yoMPPqg+x9atW7FarVx99dX86U9/GtI5zWYzjzzyCDNmzECn03H33Xdz/fXX8+GHHwKnRmIuu+wy7rzzTn7yk5+QnZ3Nvffe2+cc5eXlLF++nN/97nf84x//QK/Xs3nzZjZv3swrr7xinxcvEAwDIdAFAoHAQWlrayM7O5uAgIB+Z0Z7C/TTzeBGIs5ramooKSlh1qxZ58yXHg8UszV3d3fmz5+vCh7F0Eun03Hs2DG8vLxUR3gvL68x22To3ZKdnJyMn5/fmDzvUFCMBiMiIpg6dSqSJBEQEEBAQIA6t67T6aipqRlwbv3cnOV6n+NHoRjWdXZ2kpqa6pDmPsosenx8PGFhYertp49ntLW1odfrKSsrIz8/X40VDAoKGtVNB0Wcu7i42E2c33PPPRw4cID9+/c75Jy94Ny0tmbS03Py//9lU29va8vE0zMGD4+oUXneG2+8kaeeeoqDBw+yZMkS4FR7+4YNG4blKXHjjTeq/x0bG8uzzz5LWloanZ2deHl58Ze//IUZM2bw1FNPATBjxgwKCgp49NFH1cc99thjbNy4kbvuuguAadOm8eyzz7J48WJefPFFh/y9I/h+IAS6QCAQjBGSJA263VUxg5s6dSrR0dH9iktFoCtmcDabTX2e4Tq1l5aWUltb67Dz3O3t7WRnZ/ebwd7b0MtsNtPY2IhOp6OyshJXV1e1su7n5zdqYv10Q73hRMWNNspM/EAxYL3n1mNjY9WND0Vkenh4qGJ9oLx1f08tzlowW8FZK6vvfatNxttdi7vzwNdfGekwGo2kpqbazbDOnuh0OvLz88+Zwz6QYV9DQwMlJSV4enqq13IwSQWDxWKxkJ2djYuLCwkJCXYR5w888AAffvghBw4ccMj4OMHg6OgoBPr7OyTR0VE0agJ95syZLFq0iH/84x8sWbKEsrIyPv/8c377298O63yZmZk8/PDD5Obm0tLSov79q66uJj4+npKSEtLS0vo8Jj09vc+/c3NzycvL480331RvU/6eVlRUMGvWrGGtTSAYKUKgCwQCgQMhyzLl5eVUVFSQkJBw1vlOrVaLxWJRRTow7C/iFouFgoICurq6HFZYKhVLJcLqbGLG2dmZSZMmMWnSpD7u27m5uUiSpIqigIAAu8WdKU7oRqNxTA31hoJitDdjxgwiIiIG9ZjeGx+927ezs7PRaDT9XktnrcTUUFdK6o2YrTKKIHDWSkwLcx3wZ2exWMjJycFms5GSkmK3nHh70tDQQEFBAXPnzh3y/LWnpyeenp5ER0erm0h6vZ6srKwBr+VQsVgsZGVl4eTkZLfK+UMPPcT27ds5cOAAcXFxIzqfYHyx2UwD3COf5T77cNNNN3H77bfz/PPP88orrxAXF8fixYuHfJ6uri6WLVvGsmXLePPNNwkODqa6upply5ZhMg3+NXR2dvLTn/6UO+6444z7oqJGZ6NCIBgMQqALBAKBg2C1WsnPz6etrY0FCxac0xBLo9FgsVhGPG9uMBjIycnBycmJ9PR0hxRFJ06coLS09Ix24sHQ233bZrPR2tqKXq+nuLgYs9mszgcHBQUN+7WbTCays7NxcnIiNTXVIa9hbW0txcXFzJkzZ9jGXqe3b/e+liaTqc+1nOTvgoerhrpWM0azjJebhkn+zni49C8YzWYz2dnZaLVaUlJSRi0nfiTU19dTWFhoF1+B3ptISlJBY2Oj6gGgtMIHBwcPerNHqZw7OTmRkJAw4msoyzK///3veeONN9i/fz/Tp08f0fkE44+7exSdnSX0V0X38BjdsYUrrriCO++8k7feeovXX3+dW2+9dVh/t4qLi2lqauLxxx9XRy2OHDnS55gZM2ao8+gKhw8f7vPv5ORkCgsLmTp16pDXIBCMJkKgCwQCwRhxthZ3xQxOo9GwcOHCc7b1yrKMh4cHx48fp62tjdDQ0GEJzPb2dnJyclSX9NHM5x4O9p7n1mg0fWatOzo60Ov1VFZWcvToUVUUhYSEDFoUdXd3k5WVhY+Pj13ypUeDyspKKioqSExMtNvowunXsrOzE51OT2VNPUeLS/HzPtUKHxUSgoeHx1nPZTKZyMzMVGPAHFGc19XVUVRUxLx58+weK6YkFQQGBvZphVc2Vby9vVWxPpCfgiLONRqN3cT5U089xV//+lc+/fRT4uPjR3Q+gWMQEDCfrq4yZNnKf0W6hLOzL97eo/sz9vLy4sorr+SBBx6gvb2d66+/fljniYqKwsXFhT//+c/87Gc/o6CggEceeaTPMT/96U/54x//yH333cdNN91ETk6O6iKvfH7uu+8+FixYwObNm/nJT36Cp6cnhYWF7N27l+eee24kL1UgGBFCoAsEAsE409bWRlZWFkFBQcyePfusAk8xg7PZbEyZMkV1MK+qqlIFpjJrfS6BqbQ7D6ZlfDywWq0cPXqU9vb2UWm7lyQJHx8ffHx8iIuLo7u7G51OR319PSUlJfj4+KjXcqDnVmbiw8LCmD59usNdw94bHCkpKfj4+IzK80iShBF3GuVQTF4hOHnJmCUTuubaPnPrISEhZ8xaGwwGMjMz8fHxOef7f7w4efIkJSUlJCQkjHrO+enZ9SaTSW2Fr6ysxNnZWe1UCAgIQKPRYLVaycnJQaPRkJiYaBdx/uyzz/Lss8+yd+9ekVH9HcLFJZDJk6+mufkrursrkSQtXl4zCQxchEYz+n4PN910E3//+99ZuXLlsE1Ilci2X/ziFzz77LMkJyezZcsW1q5dqx4TExPDtm3buOeee3jmmWdYuHAhDz74ILfeeqv6t3HevHkcPHiQBx98kAsuuABZlomLi+PKK6+0y2sVCIaLJI93QKdAIBB8TzCbzaqRjUJdXR0FBQVnNYNTOJcZnCIwdTod7e3t+Pr6EhoaekbkmCzLVFVVcfz48RG1O48mJpOJ3NxcZFkmMTFxzI3CjEajaozW1NSEh4eHKtYVgalEbMXGxjqkaZYsyxQVFdHU1ERycvKo+gq0dlvJrerBapPRaiRkwGqTcXfWkBjlQnvrqbn1xsbGPrPW7u7uZGdnqx0cvd/PFqtMe8+pVAJvdy3O2vHZ/KipqeHYsWN27T4YLlarlZaWFvVams1mAgIC6OrqwtnZ2S6jAbIs8+KLL/Loo4+yZ8+eM4y1BOOHwWCgoqKCmJgY4TA+DB599FFeeuklTpw4Md5LEYwRE/UzIyroAoFAMEb0Fh+KGVxlZeU5zeCU489lBufh4UF0dDTR0dFnRI55e3sTEhJCUFAQ1dXVNDU1kZqaOmoV1ZHQ3d1NdnY2Xl5ezJkzZ1zanV1dXZk8eTKTJ09WjdF0Oh1ZWVlotVo8PT1paWkhPj7eIaPobDYb+fn5qumfvb+YWGwyGkCjOfWermkyYbX1zT3XSmAw22jskokKCyMsLEydW9fpdBQVFWE0GnF3d8fX1xez2axuxOjbLVTqTRgtp97vLk4SUUHOhPmO7Wz/iRMnKCsrc5i4PK1WS1BQEEFBQciyTFtbGwUFBZhMJnp6esjMzOwThzfUjg5Zlvn73//OI488wocffijEuWBC88ILL5CWlkZgYCBffvklTz31FJs3bx7vZQkE50QIdIFAIBhjepvBzZ8//5xmcIo4H4oZXG/nbaVFtr6+nrKyMjQaDREREepMvCO1Zbe2tpKTk8OkSZMcpmW8tzGa1WqluLiYuro6nJycKCkpobm5WTVGc4TZaYvFQm5uLhaLxe4xZR0GKyebzbT3WJGQCPDWMjnAmQ6D7YyODkmSkJHpMv63a0SZW3dycqKuro6IiAhcXV05ceKEmrfuGxhGo9kPGQm3/49jM1psVOhMuDtr8PUYm2usdJkkJSU5hDg/HZvNRnl5Oa6urixYsACLxaK2wh8/fhxXV1f1fenv73/O0QFZlnn99df55S9/yfvvv8955503Rq9EIBgdSktL+d3vfkdzczNRUVHcc889PPDAA+O9LIHgnIgWd4FAIBgjLBYLXV1dahU2KSlpUGZwSuV8uPnm8N+qtLu7O6GhoTQ1NdHY2IiLi4vqcD5QpvVYoczET5061SEjbmRZpqSkhIaGBpKSkvD29qatrU3tVDAYDAQGBqqdCuOR393bTT4hIQEnJ/vtw3cZbRSeNGAy23B20iDLMmYr+LhrMFtl2rqtuDj9VwSeul9mSqCWUC8bJpMJSZIwm80cPXqUqCmxuPmFYzDbcHPR4ONiobW5kcpGM92yFxrMuLm44uLqglarpcckE+brxLRJo9+mqJjqJScn4+vrO+rPN1SsViu5ublYrVaSkpLO+DlbrVaam5vVMQ2bzUZgYOCAaQWyLPOvf/2Lu+66i3fffZdLLrlkLF+OYJBM1HZdgWC8mKifGSHQBQKBYIxoamri8OHDBAcHEx8ff86KljJvPtIYtZaWFnJzcwkPD2fatGnqeZQv8crcukajUcX6YCpu9qSqqory8nKHnYlXDOs6OjpISko6w5VclmXVeVun09HR0YGfn586t97bA2C0MBgMZGVlqaMB9v75leuM1LVY8HT970aRzSbTY5YJ8nKitsUEkoSi0c1WGSfJxrRAC5JsRqvV0tnZSX19PX6BYbQSjNHy3/O7OkvMmezGyRYz+nYLWsyYTKZTwh4JjYs7Pu4akmN9RrVT4fjx41RXV5OcnOyQIyCKOLdYLCQnJ59zE0aWZdrb21Wx3tXVhZ+fHz4+PhiNRubOncu2bdvYtGkTW7duZcWKFWP0SgRDZaKKDYFgvJionxkh0AUCgWCMqKqqwmAwnNMx/VxmcEOhtraWoqIiZsyYweTJkwc8TslhVsS6LMuq63ZAQMCoCaLeVenExESHrFaazeY+1crBVMZ7ewC0tLTg5eWlivWBYrJGgtKZ0Z/Zmr3IqerBYDpV7e5Np8FKhL8zMnCiyYzFJiMBzk4S0X5WnOUeXF1d6ejooLq6mkmTwmkzudBh88TZ2VkdtTBawMdNQ7CPlqpGMx4u0v+3yYPJaKbbZIUeHVJXrVoNDg4OtlvmvCzLHD9+nBMnTpCSknLO0ZPxwGazkZubi9lsHpQ474+enh4aGxv57LPP2LRpE6GhobS2tvLggw/y85//3K5dF/3x/PPP89RTT1FfX09CQgJ//vOfB5x1/9vf/sbrr79OQUEBACkpKfz+97//3s7GT1SxIRCMFxP1MyMEukAgEIwRVqsVi8Vy1mMGYwY3GJR4rZqaGubNmzekaCjFfEoR6yaTiaCgILV1215f4JVZ/K6urn6r0o6Akk/v5ubGvHnzhrVRYTab1eplY2Mjrq6uqlj38/MbsZhua2sjOzubyZMnExcXN2pjCkdrDLR2W/F07dvG3m2UiQpyJjLQBYPZRmuXFY1GIsBTS3tbC1arla6uLmpqaoiMjMTF3ZtqXSdWrQeS0387C6w2GasNZke4UaE3YTDbcHGSkACjRcbFScPsya7I5lNpBXq9ns7OTvz8/NTNpOF2KiimjUocnZeX10gvl91RxLnJZCI5OdkuGxPbtm3jiSeeIDQ0lPz8fGw2GytXruSJJ54YFfPDt99+m2uvvZaXXnqJ+fPn8/TTT7N161ZKSkr67ZzZuHEj5513HosWLcLNzY0nnniCnTt3cvToUSIiIuy+PkdnoooNgWC8mKifGSHQBQKBYIyw2WyYzeYB71cq51ardUQt7VarlYKCArUdeyTxWrIs09nZSUNDAzqdjp6eHgICAggNDR3RnLUyK63kNturCmpPOjs7yc7OJiAggFmzZtmlZdxqtdLU1KQKdkmS1ErwcDoVmpubycnJIS4ujilTpox4fWdD126hrN6Ik1bC+f+XaTDLaDUwZ7I7Hq5nXh/FsV2n0zFlyhTcPLzQtZlp6zQgO3mgcf6voLbZZCw2SJjijlaCykYTnQYbMuDpomFKsAt+pxnEKdVgpVPB09NTvZ6n560PhCzLlJaWUl9fT0pKyqjG0Q0Xm81GXl4eRqPRbuJ87969bNy4kZdffpmrrroKq9XKt99+y/vvv88vf/nLUbkO8+fPJy0tjeeeew449boiIyO5/fbbuf/++8/5eKvVir+/P8899xzXXnut3dfn6ExUsSEQjBcT9TMjXNwFAoHAARiOU3t/GI1GcnJy0Gg0pKenj9ioTJIkvL298fb2ZurUqXR1daHT6Thx4gSFhYX4+/ur1eDB/vHr6uoiOzsbX19fZs+ePaaz7oNFcZO3d1Vaq9Wqc/5K5Jher6e4uBiz2UxQUNCARl6n09DQwNGjR5k5c+aYRL0Fe2vpNjrR0Gah2whI4KKVmBLs0q84t9pk9I0tNDU1MWXKFEy4U3GyBwkroKHH4oSTbMPN+VQru9l26nxerhqctBKzI1xp7ejG0N2NbDPT06bB3OWEq6srLi4uuLq64u7urqYVmM3mM+Lwem9+9Pc+k2WZY8eOodPpSE1NdcguDkWcGwwGUlJS7CLODxw4wMaNG3nhhRe48sorgVPvzUWLFrFo0aIRn78/TCYTmZmZfVy0NRoNS5cu5euvvx7UObq7u9Xsd4FAIPiuIgS6QCAQjDP2MoPr6OggJycHf3//QZnQDQdPT09iYmKIiYmhp6cHvV5PfX09JSUl+Pj4qOJzIKGjGNZFREQwdepUh4hROx3FTX7atGlERkaO2vMokWMBAQFMnz6djo4O9Ho9lZWVHD16lICAAHXzw9XVtc9jT548SUlJCXPnziU4OHjU1tgbSZKIDnYl2MeZjh4rGknCz1PTx7kdTpnDFZ3sob7VjCz74+7pTmuPlTZDF1okbGgw4Y6MFrMVQEYjnUopmBLkgpP21Huis7OTzrbWU+c0mzGbzWg0Gtzd3XF2dsbT07PPPL+zszNhvfLWW1pa0Ov1FBUV9bv5IcsyxcXFNDY2kpqaOiZGfkNFybO3pzj//PPPufLKK3nmmWf48Y9/PGafwcbGRqxWK6GhoX1uDw0Npbi4eFDnuO+++wgPD2fp0qWjsUSBQCBwCIRAFwgEgnFClmW1cg6MSJzr9Xry8/OJjo4mJiZmTL50u7u7ExUVRVRUFEajUTVFKysrU03RQkJC8PT0RJIk6uvrOXr06DkN68aTmpoajh07NuZu8pIk4ePjg4+PD3FxcXR3n5qzrquro7i4WN38CA4ORq/XU1FRQVJSEv7+/mO2RgVPV02fOfTeyLJM5vFu2nqsIEsgaejBA6PBihYrMmDFCZn/tqpbbeDv7USEvzPBPqdut1gsdHR0oNVq1c+Jq6srFosFq9WKq6srXV1dajX9dDQaDYGBgQQGBjJjxgx186OqqoqjR4/i5+eHzWbDYDCQlpbm0OK8p6fHbuL8m2++4YorruCJJ57gxhtvdMgNsoF4/PHH+fe//82BAwcmVKuqwL5ER0dz1113cdddd433Ukadhx9+mHfeeYecnJzxXopgjHG8vkKBQCD4jtL7y7AizBVxPlyndlmWqa6uJj8/n/j4eGJjY8flS7erqyuTJ08mOTmZxYsXM2XKFDo6Ovj222/56quvOHz4MEePHmXevHkOKc4Vk7DS0lKSkpLGPerNw8OD6Oho0tLSuOCCCwgPD6e5uZmvvvqKsrIyQkJC0Gg0OJqNjK7d/P/iHPj/96GEhA0nzLhiwbWPOAdw0kokRbsT4uukvnfNZjNWqxUnJycsFov6+dBqtVitVtX5/WyeDgrK5kdcXBwLFixg0aJFWK1WOjo6MJlM5OTkUFZWRnt7u8NcT5vNRkFBAd3d3XabOT9y5Ag//OEP+e1vf8utt9465r8ngoKC0Gq1NDQ09Lm9oaGBsLCwsz52y5YtPP7443z88cfMmzdvNJcpGAVeeuklvL29+5ikdnZ24uzszJIlS/oce+DAASRJory8vN9zHT58mFtuuUX9tyRJvPPOO32Oefjhh0lMTLTX8lXs+ToEgrMhBLpAIBCMMb1j1CRJGnbl3GazUVxcTEVFBSkpKef8kjtWODs7M2nSJBISErjwwgtxc3Ojvb0dSZIoLi6muLiYlpYWhxJDRUVFnDx5krS0tHGpSp8NV1dXwsPDcXV1xdXVlWnTpmGz2cjKyuLzzz+nuLiYpqYmNZZvvLBYrRRUtfcR53DqnwMhAb7uZ34VUT4Pp79HlH8rAn2o2Gw2ysvLsVqtnH/++SxevJjo6Gi6u7s5cuQIn3/+OUVFRTQ2No7b9VTEeVdXFykpKSP2kQDIyclh3bp1PPjgg9xxxx3jsonn4uJCSkoKn3zyiXqbzWbjk08+YeHChQM+7sknn+SRRx5h9+7dpKamjsVSBXbmoosuorOzkyNHjqi3ff7554SFhfHtt99iMBjU2/fv309UVBRxcXF9zmEymQAIDg4eN68Ie7yOwSDL8jkTXwTfbYRAFwgEgjGkd+V8JC3tZrOZnJwcWltbSU9Pd8j8cIvFQkFBASaTiUWLFrFkyRJmzZqlxkUdPHiQwsLCcRVDVquV3Nxc2traSE9Pd8h4LavVSl5enrrGKVOmMHfuXBYvXkx8fLwq6A4ePEhBQQE6nU7tzBgrbDYb2QWlWGyaPuL8XMhATMiZAlRpXTeZTGqbu7Kp5eLiovo1DKWyrFynjo4OUlJScHV1VTeT5s2bx5IlS5g9ezYAhYWFHDhwgLy8POrq6gZVqbcHsixz9OhROjs77SbOCwoKWLt2Lffeey/33nvvuLa133333fztb3/jtddeo6ioiFtvvZWuri5uuOEGAK699to+JnJPPPEEv/rVr/jHP/5BdHQ09fX11NfX09nZOV4v4TuB0WbjP/XN3FZYxd3F1RxoHt3ukRkzZjBp0iQOHDig3nbgwAHWrVtHTEwM33zzTZ/bL7roIq6//noyMjJ49NFHCQ8PZ8aMGcCpFvenn35a/W+A9evXn/LIiI7m1Vdf5Te/+Q25ublq582rr74KnDL//MlPfqKmPFx88cXk5uaqz61U3v/5z38SHR2Nr68vV111FR0dHcN+HXDKvPWOO+4gJCQENzc3zj//fA4fPtznWEmS+Oijj9TfTV988cUZ17G8vJzY2Fg2b97sMBvcgtFBCHSBQCAYI7744gteffVVNV5ruF+Ue3p61D/ujjo/azAYOHLkCDabTTXg0mg0BAUFER8fz+LFi5k3bx4ajYbCwkIOHjxIfn4+DQ0NYyYuFVdpi8VCamqqQ861WiwWsrOzMZlMpKWl9Vlj7+t54YUXkpSUhKurK6WlpRw4cICcnBxqa2vVytNoYbVaycnJoccs4eYysGB20oCvh/K1Q8bT2UZSlCv+nqfscCwWC2azGZvNhizL+Pr64uzsrP7bbDarHSdWqxVPT89BC3Rlnrurq4vU1NQzTPfgv3Prs2bN4oILLlBd3SsrKzl48CCZmZlUV1fT09Mz5Gs0GBRx3tHRQWpqql3EeVFREatXr2bTpk384he/GPeZ8yuvvJItW7bw61//msTERHJycti9e7dqHFddXU1dXZ16/IsvvojJZOKyyy5j0qRJ6v+2bNkyXi9hwtNlsbIuq5Q7iqp5p6GFt+ubuSr3OD8vOTGqou+iiy5i//796r/379/PkiVLWLx4sXp7T08P3377rSpsP/nkE0pKSti7dy+7du0645zK38FXXnmFuro6Dh8+zJVXXsk999zD7Nmzqauro66uTk0quPzyy9HpdHz00UdkZmaSnJzMJZdcQnNzs3rO8vJy3nnnHXbt2sWuXbs4ePAgjz/++Ihex//+7/+yfft2XnvtNbKyspg6dSrLli3r87wA999/P48//jhFRUVnjHLk5eVx/vnnc8011/Dcc8+N+2dZMLoIkziBQCAYI5qbm/nb3/7GHXfcwQUXXEBGRgZr1qwhODh40H9slfivsLAwpk+f7pARZUp++Nnc5CVJUh3MZ8yYQXt7u2owV1BQQFBQECEhIYOKGxsOPT09ZGVl4eXlxZw5c4acPz4WmEwmsrKycHFxISkp6axrlCQJPz8//Pz81Dg8vV6vxuH5+fmpJnP23NCxWCzk5OQgyzJT46Ip15vx0sh0/v+egAYrzhiRkIkJdmdysCdtnV10tnci2ywYO9ppsnogSRImk0kV41qtFicnJ9zd3XF3d0eSpD4pB0qFfTCfm9NjygYjfHub9k2dOlVNLNDr9Rw7dgxPT0/1enp7e4/4y7Iiztvb2+1WOS8tLWX16tXceOONPPzwww7zhX7z5s1s3ry53/t6VyYBKisrR39B3zOeq9aR13Fqk+n/QxQAeKOumZXBflwc6DMqz3vRRRdx1113YbFY6OnpITs7m8WLF2M2m3nppZcA+PrrrzEajaoI9vT05OWXXx7w86AkWPj5+fUZ8fLy8sLJyanPbV988QWHDh1Cp9OpG3RbtmzhnXfeYdu2bepcu81m49VXX8Xb2xuAH//4x3zyySc8+uijw3odXV1dvPjii7z66qusWLECgL/97W/s3buXv//97/z85z9X1/jb3/6WH/zgB2e8zq+++orVq1fz4IMPcs899wzj6gsmGkKgCwQCwRixbt061q5dy/Hjx9m+fTtvvvkmd999NwsXLiQjI4O1a9cyadKkAb9I19XVUVhYyLRp04iKihrj1Q+OpqYm8vLyiIqKGrRhnSRJ+Pr64uvrq4rLhoaGM+LGQkJC7CJcOjo6yMrKIjQ0lBkzZjiMcOmNsoHg7e3NnDlzhrQRI0kSXl5eeHl5ERMTg8FgQKfTqeJScdgPDg7uE1M2VMxmM1lZWTg7O5OQkIBVlqhpsWIy2/B1lzEbDbjY2tFgxd1Zwtrdw8mT7VitVjU2zWq10traipOTE15eXn0q5Z6ensiyjEajwcfHZ1gbNcp4gMlkGpETeu/EArPZTGNjo+oK7+zsrOat+/v7D3nTTJZlCgsLaWtrG7C6P1SOHz/O6tWrueqqq/j973/vkBt5gvFhe0ML/Q0UaSV4R9cyagJ9yZIldHV1cfjwYVpaWpg+fTrBwcEsXryYG264AYPBwIEDB4iNjVX/vs2dO9cuv/MBcnNz6ezsJDAwsM/tPT09fYzcoqOjVXEOMGnSJHQ63bBfR15eHmazmfPOO089h7OzM+np6RQVFfVZS38eC9XV1fzgBz/g0Ucf/V441wtOIQS6QCAQjCGSJBEXF8f//u//8vOf/5zq6mp27NjBjh07+N///V/S09NZt24d69atIzIyUq0cfv7559hsNhISEggKChrvl9EvtbW1FBUVMWvWLMLDw4d1jt7isnfcWG1tLcXFxWolWJnlGyrNzc3k5uYSHR1NdHS0Q4rzzs5OsrKyCA4OZubMmSNeo5ubWx9xqVSCKyoqcHV1Va+nr6/voJ/LaDSSlZWFu7u7OqqgBaaFuVBWb8JoNuMudyBpZFxd3PD3dEKWbeosZ28DJEWUd3R04OTkhFarRZIkLBYLXl5emEwmDAbDkMW10npvtVrt5oQO/zVBnDRpEjabjebmZvR6PUePHsVqtRIYGNgnb/1sKOK8tbVVnT0dKVVVVaxatYq1a9fyhz/8QYhzQR96rP37fcgy9FhHr8V96tSpTJ48mf3799PS0sLixYsBCA8PJzIykq+++or9+/dz8cUXq4/x9PS02/N3dnaeMT+u4Ofnp/736Z9Z5W/wSF7HYOnv9QYHBxMeHs6//vUvbrzxRnx8RmcDReBYCIEuEAgE44QkSUyZMoX/+Z//4a677qK2tpadO3eyfft2fvnLX5KYmMiqVav44osvqKys5IsvvnDIP86yLHP8+HGqq6tJTEw8o0IxEpS4sejoaAwGg5q1fuzYMby9vftkrZ8LJYd9JBsIo01bWxvZ2dlERkaOSmSes7Mz4eHhhIeHY7VaaWpqQq/Xk5OTgyRJaiU4MDBwQGFnMBjIzMzEx8eH2bNn9znO39OJxGgt9Y1mOttk3FzdcHVW7pdUk0Q4NfPd+4uv1WpFq9Wqbe7KcVqtFrPZjCzLg74eVquV7OxsZFkmOTkZJ6fR+bqj+AAEBQUxc+ZM2tvb0ev1aveHv7+/ek1PHy2QZZmioiJaWlrs5oFw8uRJVq1axbJly/jzn/8sxLngDC4J9GZrfQunO33YgMUB3v09xG5cdNFFHDhwgJaWlj6t3RdeeCEfffQRhw4d4tZbbx3SOZ2dnc/wLXFxcTnjtuTkZOrr63FyclLN5YbLUF5HXFwcLi4ufPnll0yZMgU41X10+PDhQVXE3d3d2bVrFytXrmTZsmV8/PHHfSr8gu8mQqALBAKBAyBJEhEREWzevJnbbrsNnU7HP//5Tx599FH1C8WLL75IRkYG06dPd5jKrxJR1tzcTGpq6qh+cXBzcyMyMpLIyEhMJpMq1svLy/Hw8CAkJITQ0NB+27arqqooLy936A6EpqYmcnNzmTp16piMMGi1WnWDw2az0draik6no7i4GLPZrPoABAYGqlWl7u5uMjMzVTO1/t6HzloJPw8N5i4JF6f/3q8YIypt66fTO1pIlmVVpCtxhC0tLRiNRrUdfqBZesVYT5IkkpOTx8xf4PRRDWVuXdlQ8vLyUsW6l5cXxcXF6ufGHuK8vr6eVatWceGFF/Liiy8KcS7olzunhPGBvo1umw2lYK4BZni6sSF0dCMmL7roIm677TbMZrNaeQZYvHgxmzdvxmQyqcZqgyU6OppPPvmE8847D1dXV/z9/YmOjqaiooKcnBwmT56Mt7c3S5cuVcfJnnzySaZPn05tbS0ffPAB69evH1KE31Beh6enJ7feeis///nPCQgIICoqiieffJLu7m5uuummQT2fp6cnH3zwAStWrGDFihXs3r3bIRNHBPZDCHSBQCBwMCRJoqmpiRdeeIFLL72UP/zhD3z88cfs2LGDJ554gri4ONatW8f69euZNWvWuH0RN5vN6nzd6Q7jo42LiwsRERFERERgsVhobGxEp9Nx+PBhXFxcVOHp4+NDWVkZtbW1pKSkOGQcHUBDQwMFBQXEx8czadKkMX9+jUbTx7Svo6MDnU5HRUUFBQUFBAQE4Ovry4kTJwgPD2fatGln3SRycXFBo9FgsVjUdnUYON9cwWq1qseYTCZ0Ol0fJ3dF4Le3t6tRSb0xm81kZ2ej1WpJTEwcV/O//ubWdTodVVVV6jGzZs2yy4ytTqdj9erVpKWl8fLLLzuk6aHAMYjxcGVP6gz+VFnPvqZ23LQafhjqzx1RIbhrR/dvyUUXXURPTw8zZ85UnfvhlLDt6OhQY8yGwh/+8Ac1vi8iIoLKyko2bNjAjh07uOiii2htbeWVV17h+uuv58MPP+TBBx/khhtuQK/XExYWxoUXXthnLaPxOh5//HFsNhs//vGP1ZSGPXv24O8/+A0RLy8vPvroI5YtW8aqVav48MMP7ToCIHAsJFkE6QkEAoHD8dvf/haz2cxvfvObPgK8tbWV999/nx07drBnzx4mT56sinVlFngsMBgMZGdn4+rqyrx580athXioKG3biimaUn2dOXMmYWFhDllVrKmp4dixY8ydO1d1JXYkuru7OXHiBCdOnFDjzxSTuYG+IMqyTGNjI42NjWqrqVI512g0qhGccruC4tKu3KY4t8OpVlZlE8hsNqPRaIiKilLfe6eb1jmiSJVlmeLiYhoaGggMDKSlpUWdWz+9W2GwNDU1sWrVKmbMmMFbb701KqkHAsfAYDBQUVFBTEyMQ8ZCCgSOxkT9zAiBLhAIBA7IYOZtOzo6+PDDD9m+fTsfffQRQUFBrFu3joyMDFJTU0dNjHZ0dJCdna3O3Tqi6FXivwwGA35+fjQ1NSHLMsHBwYSEhBAQEDDuAk6WZSorK6msrCQxMXFI1ZSxpKWlhZycHGJiYpg0aZJqMtfU1KSOFijV7N7v2ebmZurr61Wx3dtsSavV9hHucEqcOzs7q63tyoy6zWZTf1YuLi7qMUajkfDwcLy8vDCbzWRmZuLq6kpCQoJDvidlWaakpAS9Xk9qairu7u5qN4ByTbu6uvD391ev6bm+ULa0tLBmzRoiIyPZunWr3RyvBY7JRBUbAsF4MVE/M0KgCwQCwXeA7u5udu/ezfbt2/nggw/w8fFh7dq1rFu3jgULFthNjDY2NpKXl0dMTIzDuqAbjUays7PVSqqTkxOyLNPW1kZDQwM6na7PjHVQUNCYdwDIssyxY8eor68nOTnZYU1/lLn46dOnM3ny5D739R4taGxsxMnJSR0t8PPzo7q6GoPBgIuLCyaTSTV6g1Ni3d3dXfULMBgMdHd34+Liorq6a7VaLBYLNptN/RnCKS8CJTc9PDwcFxcXMjMz8fDwYO7cuQ4rzo8dO4ZOp1PFeX90d3erYr21tVWdWw8JCTnDW6GtrY21a9cSHBzMzp077eIAL3BsJqrYEAjGi4n6mRECXSAQCL5jGAwG9u7dy/bt23nvvfdwdXVlzZo1rF+/nvPOO2/YYrSmpoaSkpJxm5MeDF1dXWRnZ+Pn50d8fPyAZmTKjLVOp6Onp4eAgABCQ0MJDg4e9RZhm82mRmslJyfj4eExqs83XHQ6Hfn5+YP6eStxYw0NDTQ1Nalt21qtFmdnZ4xGo3qsLMvqhpFSKe7u7qaurk5tb1da4JVK+uniXpIk3NzcCA8PJzc3F09PzyHnxY8VsixTWlpKfX09qampg/55m0wmNW+9qakJZ2dndDodTk5OnHfeeVx11VV4enry/vvvT6gvnoLhM1HFhkAwXkzUz4zj/SUTCAQCwYhwc3NjzZo1vPrqq9TX1/Pqq68iyzLXXXcdU6dO5bbbbmPfvn2YTKZBnU8RGKWlpSQnJzusOG9ra+Pw4cOEhoaeEf/VG0mS8PHxYerUqSxatIgFCxaoFd+DBw+SmZnJiRMn+ohKe2G1WsnNzaWjo4O0tDSHFed1dXXk5+czd+7cQf28NRoNnp6ehISEMHXqVGJiYtQqd2dnp2ryBqeuvzJr3tbWBpwyVFNa/K1Wq+re7ubmhkaj6TOnLssyNptNHWPw8vL6zolzONXOHx4eTkJCAosXL2bmzJkUFxdz2223MXPmTMrLy/nxj3886M/xSHn++eeJjo7Gzc2N+fPnc+jQoQGPPXr0KBs2bFC7bJ5++ukxWaNAIBB8F3C8v2YCgUAgsBsuLi4sW7aMv/3tb9TW1vLvf/8bd3d3fvaznxEbG8tPf/pTPvroIwwGQ7+Pt9lsFBQU0NDQQHp6usPOSev1ejIzM4mNjT2nw/jpeHp6EhMTw4IFCzjvvPMICgqivr6ezz//nEOHDlFZWUlPT8+I16iYmFksFlJTUx22JbmmpoaioiISExMJCQkZ1GMMBgOtra2YTCa0Wi1ubm54e3vj5uaGs7OzWhlXZsqtVqv6bzgl2v39/QkPDycoKAhfX19VnJtMJlXUazQatFotWq0Wg8GAt7e3Q4vzsrIy6uvrSUlJGdFmjFarJTg4mLvvvpuEhATmzZvHtddey5NPPklQUBDr168f0BnfHrz99tvcfffdPPTQQ2RlZZGQkMCyZcvQ6XT9Ht/d3U1sbCyPP/44YWFho7YugUAg+C4iWtwFAoHge4jVauXLL79k+/bt7Ny5k7a2NlasWEFGRgZLly7Fw8MDvV7Pv//9b9LT00lMTHRYQXny5EmKi4uZPXu2XcWA0WhUc6ybm5vx8vJSZ6w9PT2HtAmgzMUrrvfjbVA3EFVVVRw/fnzIpnVNTU0YDIY+7xGbzUZPTw9ms5nu7m7glNBUTOCU/1dM0XpfU1mW6enpoaOjA71er4pzRej39PSg1WqJjIx0yE0jWZYpLy/n5MmTpKam2iUOyWAwcPXVV9PW1saePXvUyMDy8nLy8vJYv379iJ9jIObPn09aWhrPPfcccOpnGxkZye233879999/1sdGR0dz1113cdddd43a+r4vKO26U6ZMcdjuG4HAkeju7qaqqmrCtbgLgS4QCATfc2w2G4cOHWLbtm3s3LmThoYGFi9eTG5uLlOnTuW9995zmBi13siyTEVFBVVVVSQkJBAQEDBqz2U2m1Wx3tTUhJubW5+s9bOJ9Z6eHjIzM/H19T1r6/14Issyx48f58SJEyQnJ5+RL36uxzY0NACc8T5RXPQbGxvp6urqI8CdnJzw8PCgubmZxsZGXF1d1Wvq6+urzqCXlpaqTu42mw2DwaBW0WNiYhxSqJSVldlVnJtMJn70ox9RV1fHvn37xnRTwmQy4eHhwbZt28jIyFBvv+6662htbeXdd9896+OFQLcfNpuN0tJStaPCxcXFIY06BYLxRpZlTCYTer0eq9XKtGnTHPJv70A43jcugUAgEIwpGo2GBQsWsGDBAp588kneeOMNbr31VsLCwjh06BA/+tGPWLduHStXrjynGB0rlDxpxRV7tF3QnZ2dCQ8PJzw8HKvVqrqXZ2VlneFe3vv6dHZ2kpmZSWhoKDNmzHCIa3c6ypx0XV0dqampeHl5DenxkiTh5OSE0WjsI9B7R6pFRkbS3NxMW1sbNpsNLy8vAgMDcXV1JTIysk9+fU5ODpIkERwcTHBwsBqTZzabsVqtaveB1WpFp9MRFRWlRrL19PRgsVjUNvvx2FhSKucpKSl2Eedms5kbbriBEydO8Omnn455x4CSZR8aGtrn9tDQUIqLi8d0Ld93NBoNMTEx1NXVUVtbO97LEQgcHg8PD/VvxERCCHSBQCAQqOzatYvbbruNRx99lDvvvJOCggK2bt3K008/zaZNm7j44otZt24dq1evxt/ff1wEp9VqpaCggM7OTtLT0weMrBottFotoaGhhIaGqu7lOp2O3NxcVViGhISg0WjIzc1lypQpqmmaoyHLMkVFRTQ1NY3ItM7DwwOj0YjZbFYj0UwmE66urri6uqLRaFTB3R9arZaQkBBcXFxwdXXFYDBgsVg4fvw4XV1dBAQEqO7tvWlvb6e2tpawsDCampr6GPs5Ozvj7+8/pm2NShfCcDY6+sNisXDzzTdz7Ngx9u/fT2BgoB1WKZjIuLi4EBUVhcViwWq1jvdyBAKHRavV4uTk5JB/e8+FEOgCgUAgUGltbeXVV19lw4YNAMydO5e5c+fym9/8huLiYrZt28Zf//pX7rjjDi688EIyMjJYvXo1wcHBY/JH0Gw2k5OTgyzLpKWl4eLiMurPeTY0Gg1BQUEEBQUxc+ZMWltb0el0FBQUYDab8fHxwcvLS23RdiSUuLe2trazZnMPBnd3d6xWK11dXaqruJubG76+voOuXDQ1NZ1RFfTw8CAgIID6+np15vp0WlpacHV1xWg04urqqs6pG41G2tracHFxGZPqyfHjx6murrabOLdarWzatInc3FwOHjw4aMM+exMUFIRWq1XHGBQaGhqEAdw4IUkSzs7Oox4JKRAIxoeJVe8XCAQCwahy7bXXquK8N5IkMWvWLH71q1+RmZlJYWEhP/jBD/jnP//JtGnTWLlyJS+99BK1tbWj5iZtMBg4fPgwzs7OpKSkjLs4Px2NRkNAQAB+fn5YLBbi4uIICAjg2LFjHDhwgNzcXOrq6jCbzeO9VGw2G/n5+XR0dIxYnMOp94e3tzfBwcEEBgaq/z9YAWGz2WhoaECWZbVSrsSrdXd3ExQUNOBjlVz73pUSSZJwcXHBZDKNSQxZRUUF1dXVpKSk2EWc22w27rjjDr799ls++eSTcRXCLi4upKSk8Mknn/RZ3yeffMLChQvHbV0CgUDwXUWYxAkEAoFg2MiyTHV1Ndu3b2fHjh18++23pKens3btWtatW0dkZKRdKuudnZ1kZWWplWpHnSc7ceIEpaWlzJs3TxWVsizT1dVFQ0MDOp1ObdlW5tbHeqNByWI3m80kJyc7RBWuu7ub8vJygD5GcjabDUmSCAkJGTDSq7eru5eXF15eXri6uqpV9ODg4FEdg6isrKSyspKUlBS7eCHYbDbuuecePv74Yw4cOMCUKVPssMqR8fbbb3Pdddfxl7/8hfT0dJ5++mn+85//UFxcTGhoKNdeey0RERE89thjwCljucLCQgBWrlzJxo0b2bhxI15eXkydOnU8X4pAIBA4PEKgCwQCgcAuyLJMbW0tO3bsYPv27Xz55ZckJSWxbt061q1bN+w57JaWFnJycoiKiiI2NtYh58kUF/Tq6mqSkpLw8/Mb8Nju7m50Oh06nY729nb8/PxUsT7a89IWi4Xs7GwAkpKSHMad32AwUFpaCqC2qFutVjVabcqUKdTV1fWZMVcICgpCo9HQ1taG0Wikq6sLjUaDp6cnHh4eREZGjtomxGiI8wceeIB3332X/fv3ExcXZ4dV2ofnnnuOp556ivr6ehITE3n22WeZP38+AEuWLCE6OppXX30VOHVdYmJizjjH4sWLOXDgwBiuWiAQCCYeQqALBAKBwO4o0VvvvPMO27dv5+DBg8yePVsV69OnTx+U0G5oaKCgoIAZM2YwefLkMVj50JFlmZKSEhoaGobc4mwwGFSx3traire3d5+sdXtiMpnIzs7G2dmZhIQEh5qJl2WZsrIyDAaDWjlXuiScnZ2ZMWMGVquVqqoqNVMdICAggPDwcEwmE01NTVitViRJwmAwYDAYaG9vx2QyqcZ9gYGBdnvdSmZ8SkrKkGLpBsJms/HQQw/x73//m/379zN9+nQ7rFIgEAgEEw0h0AUCgUAwqsiyTHNzM++88w47duxg3759TJs2jXXr1rF+/XpmzZrVr1hX2sXnzp07oPv3eGOz2Th69ChtbW2kpKSMqJVayWxVstY9PT1Vse7l5TWizgGj0UhWVhYeHh7MnTvXIUcEDAYD5eXlWCyWPnPoU6ZM6bPpobjFnx6jZjKZVJM6JWPdzc2NtrY2dRPEaDQSGBhISEgIQUFBwx4vqK6upry83G7iXJZlHn30Uf7+97+zf/9+4uPjR3xOgUAgEExMhEAXCAQCwZghyzJtbW2899577Nixg48//pjIyEjWrVtHRkYG8+bNA+Cxxx4jOTmZhQsXnrVdfDyxWq3k5eVhMBhITk7G1dXVbue2WCw0NjbS0NBAY2Mjrq6uqlj39fUdkljv6ekhMzMTPz8/4uPjHVKcw39HGSIjI/Hw8MDZ2Rk/Pz+7tacrXgCKWO/s7FTHC4Yyp66I8+Tk5AGd5Ye6rqeeeornn3+eTz/9lLlz5474nAKBQCCYuAiBLhAIBIJxo6Ojgw8++IDt27fz0Ucfqa3IlZWVvP/++8yZM2e8l9gvStwbQGJi4qgarVmtVpqamtDpdOj1ejUzPCQkBD8/v7MK7q6urj7meo44vw+nItZyc3OZMWMGERERY/KcPT096PV69Ho9LS0teHl59RkvGKiro6yszK7i/JlnnmHLli3s27eP5OTkEZ9TIBAIBBMbIdAFAoFA4BA0NDSwYsUKqqqqcHNzQ6vVsnbtWjIyMpg/f77DzEwr7eJubm7MmzdvTNdls9loaWlRq8CyLPeZr+4t1js6OsjKymLSpElMmzbNYcV5Y2MjeXl5zJw5k/Dw8HFZg8lkorGxUR0v6K9jQRHn5zIBHCyyLPPCCy/w+9//nj179pCenj7yFyIQCASCCY8Q6AKBQCAYd/R6PStXrsTb25udO3fi4uLC3r172b59O++//z5ubm6sWbOG9evXs2jRonFzH+/u7iYrK8sh2sVlWaa1tVUV62azmaCgIEJDQ3F2diYvL4+oqKhhu+ePBXq9nvz8fGbNmsWkSZPGezlA346FxsZGJEnCw8OD9vZ2kpKSCAgIGPFzyLLMyy+/zK9//Ws++ugjFi1aZIeVCwQCgeC7gBDoAoFAIBh3WlpaeOKJJ/jNb35zxiy3yWTi008/Zdu2bbz77rtIksTq1atZv349F1xwwZjliCsV6bCwsEG70I8VsizT0dGBTqejrq4Og8GAp6cn0dHRBAcHO0TW+enodDry8/OZM2cOoaGh472cfrHZbJSVlVFdXY2zszNWq5WgoCDVZG44G0WyLPP6669z33338f7777N48eJRWLlAIBAIJipCoAsEAsEY0NzczO23387777+PRqNhw4YNPPPMM2eN5PrpT3/Kvn37qK2txcvLi0WLFvHEE08wc+bMMVy5Y2GxWDh48CDbtm3jnXfewWg0snr1atatW8fFF19sV6O23igGZtHR0URHRzuUOO+N0i4+ZcoUNBoNDQ0NdHZ24u/vr7Zsj9Y1GgpKfN7cuXMJCQkZ7+UMyMmTJykpKVHb2pVNEL1eT1dXFwEBAarJ3GCuqyzL/Otf/+J//ud/ePfdd7n44ovH4FUIBAKBYCIhBLpAIBCMAStWrKCuro6//OUvmM1mbrjhBtLS0njrrbcGfMxf//pXZs6cSVRUFM3NzTz88MPk5ORQUVHhMPPY44nVauXLL79k27Zt7Ny5k46ODlasWMG6detYunQpHh4ednkepQ17+vTpDpvFDv+tSMfHx/dpF+/p6VHb4Nva2vD19VXF+khi4YZLfX09hYWFDh2fB1BbW0txcTGJiYn9trV3dXWpsXjt7e34+PioYn2gDPtt27axadMmtm3bxvLly0f7JQgEAoFgAiIEukAgEIwyRUVFxMfHc/jwYVJTUwHYvXs3K1eupKamZtDGWHl5eSQkJFBWVkZcXNxoLnnCYbPZ+Pbbb1WxrtfrufTSS8nIyGDZsmVn7VQ4G3V1dRQWFjp0GzacWmdRURFz5sw5a0XaaDSqorK5ubmPc/lwr9Fw1jlv3jyCgoJG/fmGy7nE+emcfl09PDxUl/2AgAA0Gg3vvvsuN998M//6179Ys2bNGLwKgUAgEExEHDMMVSAQCL5DfP311/j5+aniHGDp0qVoNBq+/fbbQZ2jq6uLV155hZiYGCIjI0drqRMWjUbDwoUL+cMf/kBZWRn79+9n2rRpPPLII0RHR3PVVVfx73//m7a2Nga7L11dXU1RURGJiYkOLc5PnDhBUVERCQkJ52wXd3V1ZfLkySQnJ7N48WKioqJob2/n22+/5auvvqKsrIz29vZBX6OhcPLkSXWdjizO6+rqKC4uJiEhYdCGcL2v65IlS4iNjaW7u5uHH36Y2NhYLr/8cm688UZeeeWVMRXnzz//PNHR0bi5uTF//nwOHTp01uO3bt3KzJkzcXNzY+7cuXz44YdjtFKBQCAQKAiBLhAIBKNMfX39GcLJycmJgIAA6uvrz/rYF154AS8vL7y8vPjoo4/Yu3fvmJmiTVQ0Gg2pqak8/vjjFBcX880335CYmMgf//hHYmJiuPzyy/nnP/9Jc3Nzv0JUlmXKyso4fvw4KSkpBAYGjsOrGByVlZVqLvdQ1+ns7Ex4eDiJiYksXryYuLg4enp6OHLkCF988QUlJSW0tLTYRazX1NRQUlJCYmKiQ19PpcKfkJAw7HU6OTkRFhbGvHnzeOqpp7j11lspKSnBzc2Nn/3sZ1x33XW88847mM1mO6++L2+//TZ33303Dz30EFlZWSQkJLBs2TJ0Ol2/x3/11VdcffXV3HTTTWRnZ5ORkUFGRgYFBQWjuk6BQCAQ9EW0uAsEAsEwuf/++3niiSfOekxRURE7duzgtddeo6SkpM99ISEh/OY3v+HWW28d8PFtbW2qM/eWLVs4efIkX375JW5ubnZ5Dd8nZFmmuLiYbdu2sWPHDo4ePcrixYvJyMhg9erVBAUFYbVaeeaZZ0hNTSUlJWVM2r6HgyzLHD9+nBMnTpCcnIyPj4/dzm2z2dSYMb1ejyRJBAcHExoair+//5Cj5ZT88MTERPz9/e22TnujzMbbs/1+//79XHnllbz44otcc801HDp0iJ07d7Jv3z6+/vrrUTXsmz9/PmlpaTz33HPAqZ9rZGQkt99+O/fff/8Zx1955ZV0dXWxa9cu9bYFCxaQmJjISy+9NGrrFAgEAkFfhEAXCASCYaLX62lqajrrMbGxsbzxxhvcc889tLS0qLdbLBbc3NzYunUr69evH9TzmUwm/P39efnll7n66qtHtPbvO0qVfPv27ezYsYPs7GwWLlyIyWSipqaGTz/91GEN4WRZ5tixY9TX14/6JoLNZuuTtW61WgkODiYkJITAwMBzmhVWVVVx/Phx1QXdUVFc5e3Zfv/5559z2WWX8fTTT3PjjTeOqfO/yWTCw8ODbdu2kZGRod5+3XXX0drayrvvvnvGY6Kiorj77ru566671Nseeugh3nnnHXJzc8dg1QKBQCAAGHqAp0AgEAgACA4OHpQL9cKFC2ltbSUzM5OUlBQAPv30U2w2G/Pnzx/088myjCzLGI3GYa9ZcApJkpg2bRr3338/9913H0VFRfzwhz9Ep9MhyzI33ngja9euZd26dUyePNlhYtVkWaaoqIimpibS0tLs5lQ/EBqNhoCAAAICApgxYwbt7e3odDqOHTuG0WhUM8GDg4PPyASvrKykoqKC5ORkfH19R3WdI6GhoYGjR4/atXL+9ddfc/nll/Pkk0+OuTiHU3F7Vqv1DO+E0NBQiouL+31MfX19v8efawxHIBAIBPZFzKALBALBKDNr1iyWL1/OzTffzKFDh/jyyy/ZvHkzV111lergfvLkSWbOnKmaOB0/fpzHHnuMzMxMqqur+eqrr7j88stxd3dn5cqV4/lyvnO0tLRw0003ER4eTkVFBfn5+VxxxRV8+OGHzJkzh4suuoinn36aioqKUTFPGyw2m42CggJaWlrGRJyfjiRJ+Pr6Mm3aNM477zzS09Px8vKisrKSAwcOkJ2dzcmTJzGZTBw/fpzKykpSUlIcWpzrdDo1j91ekW9Hjhxhw4YN/O53v+NnP/uZw2zuCAQCgWBiIAS6QCAQjAFvvvkmM2fO5JJLLmHlypWcf/75/PWvf1XvN5vNlJSU0N3dDYCbmxuff/45K1euZOrUqVx55ZV4e3vz1VdfndOpWzA0dDods2bN4sMPP8TX15fJkydzxx13sH//fk6cOMENN9zA/v37SUpK4vzzz+epp57i2LFjYyrWrVYreXl5dHZ2kpaWNu4eBJIk4e3tTVxcHAsXLmThwoX4+/tTU1PDwYMHOX78OBEREQ5taKjkxttTnOfk5LBu3Tp++ctfcvvtt4+bOA8KCkKr1dLQ0NDn9oaGBsLCwvp9TFhY2JCOFwgEAsHoIGbQBQKB4DtMc3Mzt99+O++//z4ajYYNGzbwzDPPDDi33NzczEMPPcTHH39MdXU1wcHBZGRk8Mgjjzh0JXS0kWWZpqYm3n33XbZv384nn3zC9OnTWbduHRkZGcyaNWvUxJjVaiUnJwer1UpSUhLOzs6j8jwjRZZlysvLqampISIigra2NlpbW/Hx8VGz1se66j8Qer2evLw85s6da7cNr4KCAlauXMndd9/NAw88MO6V8/nz55Oens6f//xn4FQHRlRUFJs3bx7QJK67u5v3339fvW3RokXMmzdPmMQJBALBGCIEukAgEHyHWbFiBXV1dfzlL3/BbDZzww03kJaWxltvvdXv8QUFBTz00ENcf/31xMfHU1VVxc9+9jPmzZvHtm3bxnj1joksy7S1tfHee++xfft2Pv74Y6ZMmaKK9blz5w7Z6XwgzGYzOTk5SJJEYmLiGXPejoIsy5SWlqrGdZ6ensApszK9Xo9Op6OpqQlPT09VrHt5eY2LiNXr9eTn5zN79my75dsXFRWxYsUKbr31Vh5++OFxF+dwKmbtuuuu4y9/+Qvp6ek8/fTT/Oc//6G4uJjQ0FCuvfZaIiIieOyxx4BTMWuLFy/m8ccfZ9WqVfz73//m97//PVlZWcyZM2ecX41AIBB8fxACXSAQCL6jFBUVER8fz+HDh0lNTQVg9+7drFy5kpqaGnX+/Vxs3bqVH/3oR3R1dTmsQBxP2tvb+eCDD9i+fTu7d+8mNDSUtWvXsn79epKTk4ct1k0mE1lZWbi6ujJv3rxzOqaPF4qrfENDA6mpqQNWyc1mM42Njeh0OhobG3F1dSU0NJSQkBB8fHzGRNQ2NjaSm5vLnDlz7CbOjx07xooVK7j++uv5/e9/7xDiXOG5557jqaeeor6+nsTERJ599lnVmHLJkiVER0fz6quvqsdv3bqVX/7yl1RWVjJt2jSefPJJ4XkhEAgEY4wQ6AKBQPAd5R//+Idd4t1efvllHnjgAfR6/Wgt9TtDV1cXH330Edu3b+fDDz/Ez8+PtWvXkpGRQXp6+qBFttFoJDMzE09PT7tW5O2Nki3f2NhIamoq7u7ug3qc1Wrtk7Wu1WrVyrqfn9+ovN7Gxkby8vKIj4+321z18ePHWb58OVdccQVbtmxx2J+TQCAQCCYOohQiEAgE31Hq6+vPmK91cnIiICBg0NFJjY2NPPLII9xyyy2jscTvHJ6enlx22WVcdtll9PT08PHHH7Njxw7VgX/NmjVkZGSwaNGiAbsRenp6yMzMxM/Pj/j4eIcVfUrkW3Nz85DEOdBHkNtsNlpaWmhoaCA/Px9Zlvtkrdvj9Tc1NdldnFdVVbFq1SoyMjKEOBcIBAKB3RACXSAQCCYY999/P0888cRZjykqKhrx87S3t7Nq1Sri4+N5+OGHR3y+7xvu7u6sW7eOdevWYTKZ2LdvHzt27ODHP/4xkiSxZs0a1q9fzwUXXKAavxUVFXHy5EkmT57MjBkzHKpdujeyLFNYWEhrayupqakjcpXXaDQEBgYSGBiILMu0trai0+koLi7GbDb3EevDGbFoamoiNzeXWbNm2U2cnzx5klWrVrF8+XKeffZZIc4FAoFAYDdEi7tAIBBMMPR6PU1NTWc9JjY2ljfeeGPYLe4dHR0sW7YMDw8Pdu3aNe6xXt8lzGYzn332GVu3buXdd9/FZDKxevVqEhISeOSRR/j5z3/OnXfe6bDi3GazcfToUTo6OkhOTh6194Ysy3R0dKDT6WhoaMBgMBAYGEhISAjBwcGDcrNvbm4mJyeHWbNmMWnSJLusq76+nuXLl3Peeefx8ssvO6w3gEAgEAgmJkKgCwQCwXcUxSTuyJEjpKSkAPDxxx+zfPnys5rEtbe3s2zZMlxdXfnwww8dJhrru4jVauWLL77g+eefZ8eOHcTHxzNnzhzWrVvH0qVLh9Q2PhbYbDYKCgro7OwkJSUFV1fXMXvuzs5OdDodOp2Ozs5OAgICVLHe3zoUcT5z5sxBGyKeC51Ox4oVK0hOTua1114Tpon/z+uvv87//M//UFtb2+dnkZGRgbe3N//85z/HcXUCgUAwsRACXSAQCL7DrFixgoaGBl566SU1Zi01NVWNWTt58iSXXHIJr7/+Ounp6bS3t3PppZfS3d3Nzp071bgsgODgYFEtHAUOHjzImjVreOSRR0hLS2Pbtm2888476PV6li1bRkZGBsuWLevzsxgPbDYb+fn5dHd3k5KSgouLy7itpaenRxXrbW1t+Pr6qjPt7u7utLS0kJ2dzYwZM4iIiLDLczY1NbFq1SpmzJjBW2+95bB59ONBT08PkyZN4m9/+xuXX345cGozIyIigo8//piLLrponFcoEAgEEwch0AUCgeA7THNzM5s3b+b9999Ho9GwYcMGnn32Wby8vACorKwkJiaG/fv3s2TJEg4cODDgl+mKigqio6PHcPXffaxWK8nJydx5553ceOON6u02m43MzEy2bdvGzp07OXnyJEuXLiUjI4MVK1bg4+Mzpuu02Wzk5eVhMBhITk4eV3F+OkajURXrLS0tuLu709PTQ2xsLLGxsXZ5jpaWFtasWUNUVBT/+c9/HOr1OwqbNm2isrKSDz/8EIA//vGPPP/885SVlTnsuIZAIBA4IkKgCwQCgWBUaG5u5vbbb++zOfDMM8+omwP98de//pW33nqLrKwsOjo6aGlpwc/Pb+wWPQ4YDIazznEr4nj79u3s2LGD8vJyLrnkEtatW8eqVavw8/MbVQFktVrJy8vDZDKRnJzs0JXjxsZGcnJy8PT0pLu7G3d3d7Wy7u3tPazr1NbWxtq1awkJCWHHjh1j2tY/kcjOziYtLY2qqioiIiKYN28el19+Ob/61a/Ge2kCgUAwoRACXSAQCASjwooVK6irq+Mvf/mL2l6flpamttf3x9NPP43BYADggQce+F4I9KGgRJtt27aNHTt2UFhYyJIlS8jIyGD16tUEBgbaVaxbrVZycnKwWq0kJSU5tDhvbW0lOzubadOmMXnyZCwWC01NTTQ0NNDY2Iizs3OfrPXBXKeOjg7Wr1+Pl5cX7733njBLPAcpKSlcdtllXHrppaSnp1NZWUlkZOR4L0sgEAgmFEKgCwQCgcDuKAZ1hw8fJjU1FYDdu3ezcuXKsxrUKSit9kKgD4wsy5SVlaliPScnh/PPP59169axdu1aQkNDRyTWrVYr2dnZyLJMUlKSQxuitbW1kZWVxdSpU/sVhFarlebmZnQ6HXq9HkmSVLHu7+/fb0xaV1cXGzZsQKvVsmvXrnH3AJgIvPjiizz99NP84Ac/oLS0lD179oz3kgQCgWDCIYI7BQKBQGB3vv76a/z8/FRxDrB06VI0Gg3ffvvtOK7su4MkSUybNo0HHniAQ4cOcezYMVatWsXWrVuZMWMGy5cv5/nnn6empoah7sVbLBaysrIASE5OnhDiPC4ubsBqrVarJTg4mNmzZ3PhhRcyd+5cJEni6NGjHDx4kIKCAnQ6HSaTCThlenbllVciyzLvvffeuInz5uZmNm7ciI+PD35+ftx00010dnae9TF//etfWbJkCT4+PkiSRGtr69gsFrjmmmuoqanhb3/7Wx9PBYFAIBAMHiHQBQKBQGB36uvrCQkJ6XObk5MTAQEB1NfXj9OqvrtIkkRMTAz33nsvX3zxBcePH+eyyy5j165dzJ49m4svvphnnnmGysrKc4p1RZxrNBqSkpIc2rm/tziPiooa1GM0Gg0BAQHMnDmTCy64gKSkJFxcXMjPzycmJobVq1eTkZFBe3s7u3btwtvbe5RfxcBs3LiRo0ePsnfvXnbt2sVnn33GLbfcctbHdHd3s3z5cn7xi1+M0Sr/i6+vLxs2bMDLy4uMjIwxf36BQCD4LiAEukAgEAgGzf33348kSWf9X3Fx8Xgv83uNJElERkZy5513cuDAAaqrq7nuuuv45JNPSEhI4IILLmDLli2UlpaeIdZNJhOZmZk4OTmRmJjo0OK8vb2drKwsYmNjBy3OT0eSJPz8/Jg+fToXXXQR//nPf7BareTm5pKfn8/GjRv5xz/+QWNjo51Xf26KiorYvXs3L7/8MvPnz+f888/nz3/+M//+97+pra0d8HF33XUX999/PwsWLBjD1f6XkydPsnHjRmGmJxAIBMNECHSBQCAQDJp77rmHoqKis/4vNjaWsLAwdDpdn8daLBaam5sJCwsbp9V//5AkiUmTJrFp0yb27t1LXV0dt912G19//TXp6eksXLiQxx57jMLCQurr67n44oupra2dMOI8JiaGKVOm2OWcVquV559/nra2NioqKsjPz+eCCy7gL3/5C3/605/s8hxDYaKNibS0tLBz504OHDjAbbfdNt7LEQgEggmL4w6VCQQCgcDhCA4OJjg4+JzHLVy4kNbWVjIzM0lJSQHg008/xWazMX/+/NFepqAfJEkiKCiIm266iRtvvJHW1lbee+89tm/fzlNPPYW3tzdRUVEO77rd0dFBVlYW0dHRREdH2+WcFouFm2++mbKyMj799FMCAwMJDAzkvvvu47777sNms9nleYbCRBsTSUpKoqWlhSeeeIIZM2aM93IEAoFgwiIq6AKBQCCwO7NmzWL58uXcfPPNHDp0iC+//JLNmzdz1VVXqQ7uJ0+eZObMmRw6dEh9XH19PTk5OZSVlQGQn59PTk4Ozc3N4/I6vqtIkoS/vz/XXXcdL7/8MnFxccTFxTFlyhRWrFhBYmIiv/zlL8nMzBwXcToQHR0dZGZmMmXKFLuJc6vVyqZNm8jPz2ffvn1niGKgX5f34fJdHROprKykra2Ne++9d7yXIhAIBBMaUUEXCAQCwajw5ptvsnnzZi655BI0Gg0bNmzg2WefVe83m82UlJTQ3d2t3vbSSy/xm9/8Rv33hRdeCMArr7zC9ddfP2Zr/77Q3t7OkiVLSEpK4rXXXsPJyYnOzk4++ugjduzYwapVqwgICGDNmjWsX7+etLS0cWt97+zsJDMzk6ioKGJiYuxyTpvNxh133MG3337LgQMHxmT84p577jnne1mMiQgEAsH3F5GDLhAIBALB9xRZlnn77be5/PLL+xXePT097Nmzhx07dvD+++/j4eHB2rVrycjIYOHChWMWv9bZ2cmRI0eIiooiNjbWLue02Wzcc8897N27l/3799ttlt1eFBUVER8fz5EjR9QxkY8//pjly5dTU1OjdqIMxIEDB7joootoaWnBz89vDFYsEAgEAnsgWtwFAoFAMOF5/vnniY6Oxs3Njfnz5/dpm++PrVu3MnPmTNzc3Jg7dy4ffvjhGK3UsZAkiauuumrAqri7uzsZGRm8/vrr1NXV8de//hWTycTGjRuZNm0ad9xxB59++ilms3nU1qhUziMjI+0qzh944AE++ugj9u3b53DiHMSYiEAgEHxfEQJdIBAIBBOat99+m7vvvpuHHnqIrKwsEhISWLZs2RntwQpfffUVV199NTfddBPZ2dlkZGSQkZFBQUHBGK98YuHm5saqVav4+9//Tl1dHW+++SZOTk785Cc/ITY2lk2bNrFnzx6MRqPdnrOrq4vMzEwiIiLsKs5//etfs2PHDvbt22e3844Gb775JjNnzuSSSy5h5cqVnH/++fz1r39V7x9oTCQpKYmbb74ZODUmkpSUxHvvvTfm6xcIBALB0BEt7gKBQCCY0MyfP5+0tDSee+454JQAi4yM5Pbbb+f+++8/4/grr7ySrq4udu3apd62YMECEhMTeemll8Zs3d8VLBYLX3zxBdu2beOdd96hs7OTlStXkpGRwSWXXIK7u/uwztvV1cWRI0eIiIggLi4OSZJGvFZZlvnd737HK6+8wv79+5k1a9aIzykQCAQCgT0RFXSBQCAQTFhMJhOZmZksXbpUvU2j0bB06VK+/vrrfh/z9ddf9zkeYNmyZQMeLzg7Tk5OLFmyhOeee46qqio++OADwsLCuO+++4iJieG6665j586ddHV1DfqcSuU8PDzcruL8ySef5OWXX2bv3r1CnAsEAoHAIRECXSAQCAQTlsbGRqxWK6GhoX1uDw0NHTArur6+fkjHCwaPVqvlvPPO449//CPl5eVqC/nDDz9MdHQ011xzDf/5z39ob28f8Bzd3d1kZmYSFhbG1KlT7SbOn3nmGf785z+zZ88e5s6dO+JzCgQCgUAwGgiBLhAIBAKBwO5oNBrS09N54oknKCkp4YsvvmDOnDk8+eSTREdHc8UVV/Dmm2/S2tqKMm1XWFjIvn37CAsLY9q0aXYT5y+88AJbtmxh9+7dJCcnj/icAoFAIBCMFkKgCwQCgWDCEhQUhFarpaGhoc/tDQ0NA2ZFh4WFDel4wcjRaDQkJSXxu9/9jqNHj5KZman6BkRHR/PDH/6QP/7xj6xcuZJvvvnGruL85Zdf5ne/+x27du0iPT3dDq9GIBAIBILRQwh0gUAgEExYXFxcSElJ4ZNPPlFvs9lsfPLJJyxcuLDfxyxcuLDP8QB79+4d8HiBfZEkidmzZ/PQQw+Rk5NDQUEB8+bN43e/+x2+vr7k5uby8ssvU19fz0h8bGVZ5vXXX+dXv/oV77//PosWLbLjqxAIBAKBYHQQAl0gEAgEE5q7776bv/3tb7z22msUFRVx66230tXVxQ033ADAtddeywMPPKAef+edd7J7927+8Ic/UFxczMMPP8yRI0fYvHnzeL2E7y2SJOHq6sq2bdv4yU9+wu7du1m5ciVvv/02M2bMYPny5bzwwgucPHlySGJdlmXeeust/vd//5d33nmHCy+8cBRfhUAgEAgE9kPErAkEAoFgwvPcc8/x1FNPUV9fT2JiIs8++yzz588HYMmSJURHR/Pqq6+qx2/dupVf/vKXVFZWMm3aNJ588klWrlw5Tqv/fnPDDTfg4eHBc889p7a1y7JMTU0NO3bsYMeOHXz11VekpKSwbt06MjIyiIqKOmsL/NatW7ntttvYtm0by5cvH6uXIhAIBALBiBECXSAQCASCEfD888+rmwMJCQn8+c9/HnDW+ejRo/z6178mMzOTqqoq/vSnP3HXXXeN7YIdDIPBgIuLCxpN/019sixTX1/Pzp072b59O5999hnz5s0jIyODdevWnRHD9s4773DLLbfw73//m9WrV4/VyxAIBAKBwC6IFneBQCAQCIbJ22+/zd13381DDz1EVlYWCQkJLFu2DJ1O1+/x3d3dxMbG8vjjjwtTuv/Hzc1tQHEOp9rgJ02axKZNm9i3bx+1tbX87Gc/48svvyQ1NZWFCxfy+OOPU1RUxK5du7j55pv55z//KcS5QCAQCCYkooIuEAgEAsEwmT9/vupGDqcM6iIjI7n99tu5//77z/rY6Oho7rrrru99BX24yLJMS0sL7733Htu3b2fPnj1YrVbeeustrrzyyvFenkAgEAgEw0JU0AUCgUAgGAYmk4nMzEyWLl2q3qbRaFi6dClff/31OK7s+4EkSQQEBHD99dfz/vvvU1dXx5///GeuuOKK8V6aQCAQCATDRgh0gUAgEAiGQWNjI1arldDQ0D63h4aGUl9fP06r+v4SGBjIpk2b7JKfPlyam5vZuHEjPj4++Pn5cdNNN9HZ2XnW42+//XZmzJiBu7s7UVFR3HHHHbS1tY3hqgUCgUDgSAiBLhAIBAKBQGAHNm7cyNGjR9m7dy+7du3is88+45Zbbhnw+NraWmpra9myZQsFBQW8+n/t3V1o12X/B/A3mywTkwyfcAim1m1haTkdIyqjpZEdFAUr0I31cFJ6Mg8UhClITssD8SGJKG5QIrOCHogVLQdRI02RhDQoEkvZnJUPjXC59T+IdiN3mrf9dd/l6wWD/S6u69rnezL23vf7/Vz//neam5vz+OOPX8KqASiSQf1dAAAMRCNGjEhpaWk6OjrOGO/o6NAA7jK0b9++NDc3Z+fOnamoqEiSrF+/Pvfdd1/WrFmTsWPH/teaKVOm5I033uj7PHHixDzzzDOZN29eTp8+nUGD/JkGcLlxBx0ALkBZWVmmT5+elpaWvrHe3t60tLSkqqqqHyujP7S1teXqq6/uC+dJUl1dnZKSknz22Wfnvc/x48czbNgw4RzgMuW3PwBcoIaGhtTV1aWioiIzZ87M2rVr09XVlfr6+iRJbW1tysvL09TUlOT3xnJffvll3/eHDh3Knj17MnTo0EyaNKnfroO/r729PaNGjTpjbNCgQbnmmmvOuyfB0aNHs2LFinM+Fg/AP5uADgAXqKamJp2dnWlsbEx7e3umTZuW5ubmvsZxBw8ePOOM78OHD+eWW27p+7xmzZqsWbMmd955Z1pbWy91+ZyHJUuWZPXq1eecs2/fvr/9c06cOJG5c+fmxhtvzPLly//2fgAMTM5BBwA4i87Ozvzwww/nnDNhwoRs2bIlixYtyk8//dQ3fvr06QwePDjbtm3Lgw8+eNb1J0+ezJw5czJkyJC8++67GTx48P9b/QAMLN5BB2BA6OzszJgxY7Jy5cq+sU8//TRlZWVnvAd+udm4cWPGjx+fwYMHp7KyMjt27Djr3BdffDG33357hg8fnuHDh6e6uvqc80lGjhyZyZMnn/OrrKwsVVVVOXbsWHbt2tW39qOPPkpvb28qKyvPuv+JEycye/bslJWV5e233xbOAS5zAjoAA8LIkSPz8ssvZ/ny5fn8889z8uTJzJ8/PwsWLMjdd9/d3+X1i61bt6ahoSHLli3L7t27M3Xq1MyZMydHjhz50/mtra159NFHs3379rS1tWXcuHGZPXt2Dh06dIkr/+e54YYbcu+99+bJJ5/Mjh078sknn2TBggV55JFH+jq4Hzp0KJMnT+77p8gf4byrqysvvfRSTpw4kfb29rS3t6enp6c/LweAfuIRdwAGlKeffjoffvhhKioqsnfv3uzcuTNXXHFFf5fVLyorKzNjxoxs2LAhye9d5MeNG5eFCxdmyZIlf7m+p6cnw4cPz4YNG1JbW3uxy/3H+/HHH7NgwYK88847KSkpyUMPPZR169Zl6NChSZIDBw7k2muvzfbt2zNr1qy0trbmrrvu+tO9vv3224wfP/4SVg9AEQjoAAwov/zyS6ZMmZLvvvsuu3btyk033dTfJfWL7u7uDBkyJK+//noeeOCBvvG6urocO3Ysb7311l/ucfLkyYwaNSrbtm3L/ffffxGrBQDOh0fcARhQvvnmmxw+fDi9vb05cOBAf5fTb44ePZqenp6+jvF/GD169Hkf67V48eKMHTs21dXVF6NEAOB/5Jg1AAaM7u7uzJs3LzU1NfnXv/6VJ554Inv37v2v86f5a6tWrcqrr76a1tZWjckAoCDcQQdgwFi6dGmOHz+edevWZfHixbn++uvz2GOP9XdZ/WLEiBEpLS1NR0fHGeMdHR0ZM2bMOdeuWbMmq1atygcffJCbb775YpYJAPwPBHQABoTW1tasXbs2mzdvzrBhw1JSUpLNmzfn448/zqZNm/q7vEuurKws06dPP+OIud7e3rS0tKSqquqs65599tmsWLEizc3NqaiouBSlAgDnSZM4ABigtm7dmrq6urzwwguZOXNm1q5dm9deey379+/P6NGjU1tbm/Ly8jQ1NSVJVq9encbGxrzyyiu57bbb+vYZOnRoX6dxAKD/eAcdAAaompqadHZ2prGxMe3t7Zk2bVqam5v7GscdPHgwJSX/eVhu06ZN6e7uzsMPP3zGPsuWLcvy5csvZekAwJ9wBx0A+Fs2btyY5557Lu3t7Zk6dWrWr1+fmTNn/uncN998MytXrszXX3+dX3/9Ndddd10WLVqU+fPnX+KqAaB4vIMOAFywrVu3pqGhIcuWLcvu3bszderUzJkzJ0eOHPnT+ddcc02WLl2atra2fPHFF6mvr099fX3ef//9S1w5ABSPO+gAwAWrrKzMjBkzsmHDhiS/N6obN25cFi5cmCVLlpzXHrfeemvmzp2bFStWXMxSAaDw3EEHAC5Id3d3du3alerq6r6xkpKSVFdXp62t7S/X//bbb2lpaclXX32VO+6442KWCgADgiZxAMAFOXr0aHp6evqa0v1h9OjR2b9//1nXHT9+POXl5Tl16lRKS0vz/PPP55577rnY5QJA4QnoAMAlddVVV2XPnj35+eef09LSkoaGhkyYMCGzZs3q79IAoF8J6ADABRkxYkRKS0vT0dFxxnhHR0fGjBlz1nUlJSWZNGlSkmTatGnZt29fmpqaBHQALnveQQcALkhZWVmmT5+elpaWvrHe3t60tLSkqqrqvPfp7e3NqVOnLkaJADCguIMOAFywhoaG1NXVpaKiIjNnzszatWvT1dWV+vr6JEltbW3Ky8vT1NSUJGlqakpFRUUmTpyYU6dO5b333svmzZuzadOm/rwMACgEAR0AuGA1NTXp7OxMY2Nj2tvbM23atDQ3N/c1jjt48GBKSv7zwF5XV1eeeuqpfP/997nyyiszefLkbNmyJTU1Nf11CQBQGM5BBwAAgALwDjoAAAAUgIAOAAAABSCgAwAAQAEI6AAAAFAAAjoAAAAUgIAOAAAABSCgAwAAQAEI6AAAAFAAAjoAAAAUgIAOAAAABSCgAwAAQAEI6AAAAFAAAjoAAAAUgIAOAAAABSCgAwAAQAEI6AAAAFAAAjoAAAAUgIAOAAAABSCgAwA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\n", " " ], @@ -234,19 +234,11 @@ "ax.set_zlabel('z')\n", "ax.legend(bbox_to_anchor=(1.1, 1))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a8868043-9889-4a0b-b23d-79bb3823bdc7", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3.9.9 ('openai')", "language": "python", "name": "python3" }, @@ -261,6 +253,11 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.9" + }, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } } }, "nbformat": 4, diff --git a/examples/dbpedia_samples.jsonl b/examples/data/dbpedia_samples.jsonl similarity index 100% rename from examples/dbpedia_samples.jsonl rename to examples/data/dbpedia_samples.jsonl From 2dc64b156757e4acd28e6fdeb8801e10341b2bcc Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 17:12:44 -0700 Subject: [PATCH 12/15] adds data download from CDN with precomputed embeddings --- examples/Visualizing_embeddings_in_2D.ipynb | 28 ++++++++++++--------- 1 file changed, 16 insertions(+), 12 deletions(-) diff --git a/examples/Visualizing_embeddings_in_2D.ipynb b/examples/Visualizing_embeddings_in_2D.ipynb index acb6b886..e3ce651e 100644 --- a/examples/Visualizing_embeddings_in_2D.ipynb +++ b/examples/Visualizing_embeddings_in_2D.ipynb @@ -20,7 +20,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -29,7 +29,7 @@ "(1000, 2)" ] }, - "execution_count": 19, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -39,7 +39,8 @@ "from sklearn.manifold import TSNE\n", "\n", "# Load the embeddings\n", - "df = pd.read_csv('output/embedded_1k_reviews.csv')\n", + "datafile_path = \"https://cdn.openai.com/API/examples/data/fine_food_reviews_with_embeddings_1k.csv\" # for your convenience, we precomputed the embeddings\n", + "df = pd.read_csv(datafile_path)\n", "\n", "# Convert to a list of lists of floats\n", "matrix = df.babbage_similarity.apply(eval).to_list()\n", @@ -68,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -77,13 +78,13 @@ "Text(0.5, 1.0, 'Amazon ratings visualized in language using t-SNE')" ] }, - "execution_count": 20, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -116,11 +117,9 @@ } ], "metadata": { - "interpreter": { - "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8" - }, "kernelspec": { - "display_name": "Python 3.7.3 64-bit ('base': conda)", + "display_name": "Python 3.9.9 ('openai')", + "language": "python", "name": "python3" }, "language_info": { @@ -133,9 +132,14 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.9.9" }, - "orig_nbformat": 4 + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } }, "nbformat": 4, "nbformat_minor": 2 From 65d0925e59942c9233ad275a6ef5e32db6e59e25 Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 17:18:08 -0700 Subject: [PATCH 13/15] adds precomputing embeddings, changes engine name to match, fixes typo --- ...-shot_classification_with_embeddings.ipynb | 50 ++++++++++--------- 1 file changed, 27 insertions(+), 23 deletions(-) diff --git a/examples/Zero-shot_classification_with_embeddings.ipynb b/examples/Zero-shot_classification_with_embeddings.ipynb index dee08b48..8d14bee9 100644 --- a/examples/Zero-shot_classification_with_embeddings.ipynb +++ b/examples/Zero-shot_classification_with_embeddings.ipynb @@ -24,7 +24,8 @@ "\n", "from sklearn.metrics import classification_report\n", "\n", - "df = pd.read_csv('output/embedded_1k_reviews.csv')\n", + "datafile_path = \"https://cdn.openai.com/API/examples/data/fine_food_reviews_with_embeddings_1k.csv\" # for your convenience, we precomputed the embeddings\n", + "df = pd.read_csv(datafile_path)\n", "df['babbage_similarity'] = df.babbage_similarity.apply(eval).apply(np.array)\n", "df['babbage_search'] = df.babbage_search.apply(eval).apply(np.array)\n", "\n", @@ -44,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -64,7 +65,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -79,9 +80,9 @@ "from openai.embeddings_utils import cosine_similarity, get_embedding\n", "from sklearn.metrics import PrecisionRecallDisplay\n", "\n", - "def evaluate_emeddings_approach(\n", + "def evaluate_embeddings_approach(\n", " labels = ['negative', 'positive'], \n", - " engine = 'text-similarity-babbage-001',\n", + " engine = 'babbage-similarity',\n", "):\n", " label_embeddings = [get_embedding(label, engine=engine) for label in labels]\n", "\n", @@ -98,7 +99,7 @@ " display = PrecisionRecallDisplay.from_predictions(df.sentiment, probas, pos_label='positive')\n", " _ = display.ax_.set_title(\"2-class Precision-Recall curve\")\n", "\n", - "evaluate_emeddings_approach(labels=['negative', 'positive'], engine='text-similarity-babbage-001')" + "evaluate_embeddings_approach(labels=['negative', 'positive'], engine='babbage-similarity')" ] }, { @@ -110,7 +111,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -130,7 +131,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -142,7 +143,7 @@ } ], "source": [ - "evaluate_emeddings_approach(labels=['An Amazon review with a negative sentiment.', 'An Amazon review with a positive sentiment.'], engine='text-similarity-babbage-001')" + "evaluate_embeddings_approach(labels=['An Amazon review with a negative sentiment.', 'An Amazon review with a positive sentiment.'], engine='babbage-similarity')" ] }, { @@ -154,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -163,18 +164,18 @@ "text": [ " precision recall f1-score support\n", "\n", - " negative 0.77 0.79 0.78 136\n", - " positive 0.96 0.96 0.96 789\n", + " negative 0.65 0.93 0.76 136\n", + " positive 0.99 0.91 0.95 789\n", "\n", - " accuracy 0.94 925\n", - " macro avg 0.87 0.88 0.87 925\n", - "weighted avg 0.94 0.94 0.94 925\n", + " accuracy 0.92 925\n", + " macro avg 0.82 0.92 0.86 925\n", + "weighted avg 0.94 0.92 0.92 925\n", "\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -186,7 +187,7 @@ } ], "source": [ - "evaluate_emeddings_approach(labels=['An Amazon review with a negative sentiment.', 'An Amazon review with a positive sentiment.'], engine='text-similarity-babbage-001')" + "evaluate_embeddings_approach(labels=['An Amazon review with a negative sentiment.', 'An Amazon review with a positive sentiment.'], engine='babbage-similarity')" ] }, { @@ -198,11 +199,9 @@ } ], "metadata": { - "interpreter": { - "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8" - }, "kernelspec": { - "display_name": "Python 3.7.3 64-bit ('base': conda)", + "display_name": "Python 3.9.9 ('openai')", + "language": "python", "name": "python3" }, "language_info": { @@ -215,9 +214,14 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.9.9" }, - "orig_nbformat": 4 + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } }, "nbformat": 4, "nbformat_minor": 2 From d987d2329a83836ea7095202dd6d1b2bd53d2a8c Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 17:26:32 -0700 Subject: [PATCH 14/15] adds prefiltered data and precomputed embeddings to Customizing_embeddings.ipynb --- examples/Customizing_embeddings.ipynb | 20031 +++++++++--------------- examples/data/snli_1.0_train_2k.csv | 2001 +++ 2 files changed, 9368 insertions(+), 12664 deletions(-) create mode 100644 examples/data/snli_1.0_train_2k.csv diff --git a/examples/Customizing_embeddings.ipynb b/examples/Customizing_embeddings.ipynb index 4414e9cd..888e49f0 100644 --- a/examples/Customizing_embeddings.ipynb +++ b/examples/Customizing_embeddings.ipynb @@ -32,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": { "id": "ifvM7g4apgkK" }, @@ -67,28 +67,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": { "id": "UzxcWRCkpgkM" }, "outputs": [], "source": [ "# input parameters\n", - "embedding_cache_path = \"snli_embedding_cache.pkl\" # embeddings will be saved/loaded here\n", - "default_embedding_engine = \"babbage-similarity\" # choice of: ada, babbage, curie, davinci (curie is often a good starting point)\n", + "embedding_cache_path = \"data/snli_embedding_cache.pkl\" # embeddings will be saved/loaded here\n", + "default_embedding_engine = \"babbage-similarity\" # choice of: ada, babbage, curie, davinci\n", "num_pairs_to_embed = 1000 # 1000 is arbitrary - I've gotten it to work with as little as ~100\n", + "local_dataset_path = \"data/snli_1.0_train_2k.csv\" # download from: https://nlp.stanford.edu/projects/snli/\n", "\n", - "local_dataset_path = \"snli_train.csv\" # from: https://nlp.stanford.edu/projects/snli/\n", "\n", "def process_input_data(df: pd.DataFrame) -> pd.DataFrame:\n", " # you can customize this to preprocess your own dataset\n", " # output should be a dataframe with 3 columns: text_1, text_2, label (1 for similar, -1 for dissimilar)\n", + " df[\"label\"] = df[\"gold_label\"]\n", " df = df[df[\"label\"].isin([\"entailment\"])]\n", " df[\"label\"] = df[\"label\"].apply(lambda x: {\"entailment\": 1, \"contradiction\": -1}[x])\n", " df = df.rename(columns={\"sentence1\": \"text_1\", \"sentence2\": \"text_2\"})\n", " df = df[[\"text_1\", \"text_2\", \"label\"]]\n", " df = df.head(num_pairs_to_embed)\n", - " return df" + " return df\n" ] }, { @@ -102,7 +103,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": { "id": "kAKLjYG6pgkN", "outputId": "dc178688-e97d-4ad0-b26c-dff67b858966" @@ -112,14 +113,12 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/r4/x3kdvs816995fnnph2gdpwp40000gn/T/ipykernel_46384/2274810038.py:12: SettingWithCopyWarning:\n", - "\n", - "\n", + "/var/folders/r4/x3kdvs816995fnnph2gdpwp40000gn/T/ipykernel_17383/802273372.py:13: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - "\n" + " df[\"label\"] = df[\"label\"].apply(lambda x: {\"entailment\": 1, \"contradiction\": -1}[x])\n" ] }, { @@ -150,12 +149,6 @@ " \n", " \n", " \n", - " 1\n", - " A person on a horse jumps over a broken down a...\n", - " A person is at a diner, ordering an omelette.\n", - " -1\n", - " \n", - " \n", " 2\n", " A person on a horse jumps over a broken down a...\n", " A person is outdoors, on a horse.\n", @@ -168,38 +161,44 @@ " 1\n", " \n", " \n", - " 5\n", - " Children smiling and waving at camera\n", - " The kids are frowning\n", - " -1\n", + " 7\n", + " A boy is jumping on skateboard in the middle o...\n", + " The boy does a skateboarding trick.\n", + " 1\n", " \n", " \n", - " 6\n", - " A boy is jumping on skateboard in the middle o...\n", - " The boy skates down the sidewalk.\n", - " -1\n", + " 14\n", + " Two blond women are hugging one another.\n", + " There are women showing affection.\n", + " 1\n", + " \n", + " \n", + " 17\n", + " A few people in a restaurant setting, one of t...\n", + " The diners are at a restaurant.\n", + " 1\n", " \n", " \n", "\n", "" ], "text/plain": [ - " text_1 \\\n", - "1 A person on a horse jumps over a broken down a... \n", - "2 A person on a horse jumps over a broken down a... \n", - "4 Children smiling and waving at camera \n", - "5 Children smiling and waving at camera \n", - "6 A boy is jumping on skateboard in the middle o... \n", + " text_1 \\\n", + "2 A person on a horse jumps over a broken down a... \n", + "4 Children smiling and waving at camera \n", + "7 A boy is jumping on skateboard in the middle o... \n", + "14 Two blond women are hugging one another. \n", + "17 A few people in a restaurant setting, one of t... \n", "\n", - " text_2 label \n", - "1 A person is at a diner, ordering an omelette. -1 \n", - "2 A person is outdoors, on a horse. 1 \n", - "4 There are children present 1 \n", - "5 The kids are frowning -1 \n", - "6 The boy skates down the sidewalk. -1 " + " text_2 label \n", + "2 A person is outdoors, on a horse. 1 \n", + "4 There are children present 1 \n", + "7 The boy does a skateboarding trick. 1 \n", + "14 There are women showing affection. 1 \n", + "17 The diners are at a restaurant. 1 " ] }, - "execution_count": 13, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -212,7 +211,7 @@ "df = process_input_data(df) # this demonstrates training data containing only positives\n", "\n", "# view data\n", - "df.head()" + "df.head()\n" ] }, { @@ -228,27 +227,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": { "id": "50QmnH2qpgkO", "outputId": "6144029b-eb29-439e-9990-7aeb28168e56" }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/ted/.virtualenvs/openai/lib/python3.9/site-packages/pandas/core/indexing.py:1667: SettingWithCopyWarning:\n", - "\n", - "\n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# split data into train and test sets\n", "test_fraction = 0.5 # 0.5 is fairly arbitrary\n", @@ -281,7 +265,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { "id": "rUYd9V0zpgkP" }, @@ -290,24 +274,31 @@ "# generate negatives\n", "def dataframe_of_negatives(dataframe_of_positives: pd.DataFrame) -> pd.DataFrame:\n", " \"\"\"Return dataframe of negative pairs made by combining elements of positive pairs.\"\"\"\n", - " texts = set(dataframe_of_positives[\"text_1\"].values) | set(dataframe_of_positives[\"text_2\"].values)\n", + " texts = set(dataframe_of_positives[\"text_1\"].values) | set(\n", + " dataframe_of_positives[\"text_2\"].values\n", + " )\n", " all_pairs = {(t1, t2) for t1 in texts for t2 in texts if t1 < t2}\n", - " positive_pairs = set(tuple(text_pair) for text_pair in dataframe_of_positives[[\"text_1\", \"text_2\"]].values)\n", + " positive_pairs = set(\n", + " tuple(text_pair)\n", + " for text_pair in dataframe_of_positives[[\"text_1\", \"text_2\"]].values\n", + " )\n", " negative_pairs = all_pairs - positive_pairs\n", " df_of_negatives = pd.DataFrame(list(negative_pairs), columns=[\"text_1\", \"text_2\"])\n", - " df_of_negatives['label'] = -1\n", - " return df_of_negatives" + " df_of_negatives[\"label\"] = -1\n", + " return df_of_negatives\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": { "id": "Rkh8-J89pgkP" }, "outputs": [], "source": [ - "negatives_per_positive = 1 # it will work at higher values too, but more data will be slower\n", + "negatives_per_positive = (\n", + " 1 # it will work at higher values too, but more data will be slower\n", + ")\n", "# generate negatives for training dataset\n", "train_df_negatives = dataframe_of_negatives(train_df)\n", "train_df_negatives[\"dataset\"] = \"train\"\n", @@ -315,10 +306,24 @@ "test_df_negatives = dataframe_of_negatives(test_df)\n", "test_df_negatives[\"dataset\"] = \"test\"\n", "# sample negatives and combine with positives\n", - "train_df = pd.concat([train_df, train_df_negatives.sample(n=len(train_df) * negatives_per_positive, random_state=random_seed)])\n", - "test_df = pd.concat([test_df, test_df_negatives.sample(n=len(test_df) * negatives_per_positive, random_state=random_seed)])\n", + "train_df = pd.concat(\n", + " [\n", + " train_df,\n", + " train_df_negatives.sample(\n", + " n=len(train_df) * negatives_per_positive, random_state=random_seed\n", + " ),\n", + " ]\n", + ")\n", + "test_df = pd.concat(\n", + " [\n", + " test_df,\n", + " test_df_negatives.sample(\n", + " n=len(test_df) * negatives_per_positive, random_state=random_seed\n", + " ),\n", + " ]\n", + ")\n", "\n", - "df = pd.concat([train_df, test_df])" + "df = pd.concat([train_df, test_df])\n" ] }, { @@ -334,11 +339,2694 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": { "id": "R6tWgS_ApgkQ" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Getting embedding for Three wheelchair basketball players wearing team uniforms are attempting to reach the descending basketball with other players in the background.\n", + "Getting embedding for A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.\n", + "Getting embedding for A person in a red coat and a running black and brown dog.\n", + "Getting embedding for Five men, one wearing a white shirt standing on something, hanging up a picture of a child.\n", + "Getting embedding for A busy city that looks like New York City.\n", + "Getting embedding for People on bicycles waiting at an intersection.\n", + "Getting embedding for Emergency personnel looking into the back of a car.\n", + "Getting embedding for Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.\n", + "Getting embedding for A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.\n", + "Getting embedding for High fashion ladies wait outside a tram beside a crowd of people in the city.\n", + "Getting embedding for A young man and young lady dancing on a carpeted floor with a picture from the movie Toy Story on a big screen in the background.\n", + "Getting embedding for Two tan and white dogs and one tan dog racing down the beach near the water.\n", + "Getting embedding for Two women, each embracing a little girl, catch up at a small family gathering.\n", + "Getting embedding for A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.\n", + "Getting embedding for A man wearing a white shire shirt and hate is riding a bucking horse in a rodeo.\n", + "Getting embedding for A man and a woman are holding hands as they walk along a city sidewalk.\n", + "Getting embedding for A young woman packs belongings into a black suitcase.\n", + "Getting embedding for A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.\n", + "Getting embedding for A main street scene of a small town with an overhead welcome sign that says \"Welcome to Golden\".\n", + "Getting embedding for Little girl walking along a dirt, rock, and grass path wearing a blue hat many steps behind two people wearing backpacks and holding umbrellas.\n", + "Getting embedding for A woman is walking across the street eating a banana, while a man is following with his briefcase.\n", + "Getting embedding for A couple playing with a little boy on the beach.\n", + "Getting embedding for Child in red and blue shirt painting a log.\n", + "Getting embedding for A man in a gold skirt sits in front of the computer.\n", + "Getting embedding for Soccer teams play on a field as the sun sets behind a line of trees.\n", + "Getting embedding for two little girls, one in a green jacket and one in a pink jacket, and a little boy in a green jacket holding an apple sitting on a rock.\n", + "Getting embedding for A man in an elf hat holding a white umbrella is standing on the sidewalk with two other men.\n", + "Getting embedding for Mothers with children talking at a gathering.\n", + "Getting embedding for Workers are sitting next to a work zone eating food.\n", + "Getting embedding for Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.\n", + "Getting embedding for A small group of church-goers watch a choir practice.\n", + "Getting embedding for A family between a van and fence\n", + "Getting embedding for Two men with heads down signing a paper.\n", + "Getting embedding for A woman wearing orange looking upward.\n", + "Getting embedding for A woman with dark hair is wearing a green sweater.\n", + "Getting embedding for A brown dog running with two white and brown dogs on the seashore with crashing waves behind them.\n", + "Getting embedding for A soccer match between a team with white jerseys, and a team with yellow jerseys.\n", + "Getting embedding for A mountain biker jumping a slope outdoors in a forest area.\n", + "Getting embedding for The Arsenal football club warms-up on the soccer field as a few fans watch.\n", + "Getting embedding for A man in blue shorts and without a shirt is jogging down the road while listening to his iPod.\n", + "Getting embedding for Three girls on an amusement ride enjoying themselves.\n", + "Getting embedding for A woman wearing a green headscarf laughs while a woman in the background paddles a boat.\n", + "Getting embedding for A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.\n", + "Getting embedding for Group of people dancing\n", + "Getting embedding for A man wearing a blue shirt is sitting on a brick planter next to some paintings.\n", + "Getting embedding for People listening to a choir in a Catholic church.\n", + "Getting embedding for A driver is racing his Ford vehicle on a gravel track.\n", + "Getting embedding for three bikers stop in town.\n", + "Getting embedding for A skier slides along a metal rail.\n", + "Getting embedding for A good-looking firefighter sets up \"Do Not Cross\" tape in the city.\n", + "Getting embedding for Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.\n", + "Getting embedding for Closeup image of a dog swimming.\n", + "Getting embedding for An english farmer with a horse pulled wagon.\n", + "Getting embedding for A man in a white shirt hangs a painting in a run down store while other men watch.\n", + "Getting embedding for two female medical personnel read their charts.\n", + "Getting embedding for A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.\n", + "Getting embedding for The dogs run and play with a red ball.\n", + "Getting embedding for Two men in wheelchairs are reaching in the air for a basketball.\n", + "Getting embedding for Men fish on a concrete slab.\n", + "Getting embedding for Three guys and a girl are all jumping in a pool together.\n", + "Getting embedding for Busy ChinaTown street corner where people are walking past an open front store.\n", + "Getting embedding for Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.\n", + "Getting embedding for The skier is wearing a yellow jumpsuit and sliding across a yellow rail.\n", + "Getting embedding for A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.\n", + "Getting embedding for Toddler with milk around his mouth.\n", + "Getting embedding for man sitting down playing a game of chess alone\n", + "Getting embedding for Four teenage boys are doing cannonballs into a swimming pool.\n", + "Getting embedding for Little girl in a blue and yellow plaid outfit and blue hat is running along the trail.\n", + "Getting embedding for Men in uniform work together.\n", + "Getting embedding for A blond child is pulling a wagon with a little blond boy in it.\n", + "Getting embedding for Busy Japanese intersection like maybe Tokyo.\n", + "Getting embedding for A model posing to look as if she's a real female soccer player.\n", + "Getting embedding for 1 little boy wearing a pirate costume following closely behind a little girl wearing a blue dress carrying a orange pumpkin bucket and walking down the sidewalk.\n", + "Getting embedding for People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.\n", + "Getting embedding for A bunch of people playing soccer.\n", + "Getting embedding for A woman talks to two other women and a man with notepads in an office building with large windows.\n", + "Getting embedding for Five men, one wearing a white shirt standing on something, hanging up a picture of a child.\n", + "Getting embedding for People sit and relax next to a pool in a plaza.\n", + "Getting embedding for A young boy paddles across the water in a makeshift boat.\n", + "Getting embedding for A woman is waiting with children as she is checked out at Walmart.\n", + "Getting embedding for There is a woman holding a baby, along with a man with a save the children bag.\n", + "Getting embedding for A soccer game occurring at sunset.\n", + "Getting embedding for A groom and a bride are standing on the grass with his hand on her waist.\n", + "Getting embedding for a motorcyclist does a nose wheelie.\n", + "Getting embedding for A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.\n", + "Getting embedding for Small blond-haired girl drinking a glass of juice.\n", + "Getting embedding for Five men, one wearing a white shirt standing on something, hanging up a picture of a child.\n", + "Getting embedding for A woman stands behind an outdoor grill with a blue basket of food in her hands.\n", + "Getting embedding for People in a truck-full of sacks in a field full of sheep.\n", + "Getting embedding for An expectant woman happily lets another listen to the baby inside of her.\n", + "Getting embedding for A man wearing blue jeans and red bowling shoes stands in a bowling alley lane with a green ball in his hand.\n", + "Getting embedding for Two women, each with a child, look at each other.\n", + "Getting embedding for A young girl dancing in her socks on a wooden floor strewn with pink balloons.\n", + "Getting embedding for A climber is making his way up a snowy mountainside.\n", + "Getting embedding for Five men, one wearing a white shirt standing on something, hanging up a picture of a child.\n", + "Getting embedding for A woman in costume is marching with a large drum.\n", + "Getting embedding for Two men cook together with a metal bowl, near a hanging plant.\n", + "Getting embedding for A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.\n", + "Getting embedding for A fuzzy white lap dog runs along a rocky beach.\n", + "Getting embedding for Three men are smiling and posing behind a truck loaded with various construction supplies.\n", + "Getting embedding for A dog drops a red disc on a beach.\n", + "Getting embedding for A girl wearing a dress is blowing bubbles at a dock.\n", + "Getting embedding for A little boy underwater in a pool, holding a plastic dinosaur.\n", + "Getting embedding for A group of people sitting around a picnic table.\n", + "Getting embedding for A person on a horse jumps over a broken down airplane.\n", + "Getting embedding for A man and two women in black jackets holding umbrellas sit on a long wooden bench.\n", + "Getting embedding for Two men stand around a mixing bowl.\n", + "Getting embedding for the three boys are all holding onto a flotation device in the water.\n", + "Getting embedding for Children going home from school.\n", + "Getting embedding for Several people are dancing together in sync.\n", + "Getting embedding for A group of people sitting at a table outside talking.\n", + "Getting embedding for A boy in a blue, yellow, and orange shirt holding his arms out from his sides.\n", + "Getting embedding for People waiting at a light on bikes.\n", + "Getting embedding for A sumo wrestler with a brown belt is pushing another wrestler in a bout.\n", + "Getting embedding for Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.\n", + "Getting embedding for Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.\n", + "Getting embedding for Two people wearing blue clothing are making hand gestures next to one another.\n", + "Getting embedding for A white bike is leaning against a post.\n", + "Getting embedding for Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.\n", + "Getting embedding for An older man is drinking orange juice at a restaurant.\n", + "Getting embedding for Skydivers in formation.\n", + "Getting embedding for A black dog swimming in water near rocks.\n", + "Getting embedding for A view of buildings and people walking across the streets in Times Square, New York City.\n", + "Getting embedding for People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.\n", + "Getting embedding for A woman is walking across the street eating a banana, while a man is following with his briefcase.\n", + "Getting embedding for a woman wearing a Chinese straw hat operating some sort of stainless steel machine in what appears to be a park.\n", + "Getting embedding for Two men share a laugh while in the kitchen.\n", + "Getting embedding for A little kid enjoying some sledding on a winter day.\n", + "Getting embedding for A child with a brightly colored shirt plays outside.\n", + "Getting embedding for People waiting at a light on bikes.\n", + "Getting embedding for A woman and a child holding on to the railing while on trolley.\n", + "Getting embedding for A gentleman in a purple scarf and hat is looking at money while holding an accordion.\n", + "Getting embedding for Toddler in striped sweatshirt plays on rope on playground.\n", + "Getting embedding for A boy in a red and blue shirt painting a log.\n", + "Getting embedding for An elderly couple dance in front of a juke box while a guy in shorts sleeps at a nearby table\n", + "Getting embedding for Two women and one man sit on a bench.\n", + "Getting embedding for A man in a red and black jacket, blue shirt, lots of silver necklaces, and his blue jeans falling down, checks out a woman wearing a black leather jacket, yellow bra, pink fingerless gloves, and sunglasses.\n", + "Getting embedding for A young man in a red quilted vest displays an assortment of silver pendants around his neck as he watches a woman in a yellow bikini top, a black jacket, and bright pink fingerless gloves go by.\n", + "Getting embedding for three bikers stop in town.\n", + "Getting embedding for A woman in a green jacket and hood over her head looking towards a valley.\n", + "Getting embedding for A baseball player is about to throw a baseball.\n", + "Getting embedding for Two elderly men having a conversation, snow covered grass in the background.\n", + "Getting embedding for A man is using his computer while seated at a desk.\n", + "Getting embedding for Firemen emerge from a subway station.\n", + "Getting embedding for A female violinist surrounded by other violinists.\n", + "Getting embedding for Soccer players on a field from a distance.\n", + "Getting embedding for A man sitting on a scooter on the curb.\n", + "Getting embedding for Motorcyclist performing while two men watch.\n", + "Getting embedding for Indian couple holding child near riverbank.\n", + "Getting embedding for Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.\n", + "Getting embedding for A woman sitting in a laundromat looking at the camera.\n", + "Getting embedding for Two men are on scaffolding as they paint above a storefront while a man on the sidewalk stands next to them talking on the phone.\n", + "Getting embedding for A man is sitting with his head facing down, while other people are looking in his direction.\n", + "Getting embedding for A little boy swimming underwater with a toy in his hand.\n", + "Getting embedding for Bicyclists waiting at an intersection.\n", + "Getting embedding for A man wearing black is playing an electric guitar at a concert.\n", + "Getting embedding for Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.\n", + "Getting embedding for A young man doing a trick on a skateboard down the stairs while being photographed.\n", + "Getting embedding for Asian city scene of people in street with bright lights and glass buildings behind.\n", + "Getting embedding for A woman in a green jacket and black sunglasses outside in a crowd.\n", + "Getting embedding for man in red canada shirt standing with three men in army uniform\n", + "Getting embedding for Two women are walking down a dirt path carrying loads on their heads.\n", + "Getting embedding for Young woman in a cafe checking her cellphone.\n", + "Getting embedding for Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.\n", + "Getting embedding for A mother with her four children.\n", + "Getting embedding for A woman talks to two other women and a man with notepads in an office building with large windows.\n", + "Getting embedding for A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.\n", + "Getting embedding for Older couple posing for a picture in front of a fountain.\n", + "Getting embedding for The boy locked the cycle and went away.\n", + "Getting embedding for People waiting to get on a train or just getting off.\n", + "Getting embedding for A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.\n", + "Getting embedding for A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.\n", + "Getting embedding for A boat worker securing line.\n", + "Getting embedding for A man wearing a red sweater is sitting on a car bumper watching another person work.\n", + "Getting embedding for A man walking along side a clean up crew.\n", + "Getting embedding for A blond woman with her hair up is taking off a white sweatshirt.\n", + "Getting embedding for A man with a bright green shirt is talking to a woman in a pink shirt.\n", + "Getting embedding for A large group, wearing pink shirts, waves to onlookers.\n", + "Getting embedding for A woman in a white dress with a tiara sings in a chorus, which has a row of men in sailor hats.\n", + "Getting embedding for A little boy in brown pants is playing on ropes at a park.\n", + "Getting embedding for Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.\n", + "Getting embedding for A person on skis on a rail at night.\n", + "Getting embedding for A man with a gray shirt holds a young infant in his hands.\n", + "Getting embedding for A young man in his mid twenties is kicking his left foot about two feet off the leaf covered ground, with paved asphalt and green plants and trees in the background.\n", + "Getting embedding for A man is singing into a microphone.\n", + "Getting embedding for A man in ruffles pushes a stroller through a park.\n", + "Getting embedding for Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.\n", + "Getting embedding for A man sitting in a barber shop.\n", + "Getting embedding for The surfer catches a big wave but stays on his board.\n", + "Getting embedding for A little boy swims underwater.\n", + "Getting embedding for Oddly dressed man walking down the street.\n", + "Getting embedding for Cars are passing through a town.\n", + "Getting embedding for Child with pink strings on head dancing surrounded by confetti, balloons.\n", + "Getting embedding for A gray-haired woman in a blue dress coat with snowflakes on it balances something on her head.\n", + "Getting embedding for A man walking proudly down the street.\n", + "Getting embedding for An average looking man is playing the guitar.\n", + "Getting embedding for A young woman tries to stick her foot in a fountain.\n", + "Getting embedding for Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.\n", + "Getting embedding for A woman is walking across the street eating a banana, while a man is following with his briefcase.\n", + "Getting embedding for A spotted black and white dog splashes in the water.\n", + "Getting embedding for A boy in a blue, yellow, and orange shirt holding his arms out from his sides.\n", + "Getting embedding for A cowboy Roping a calf in a rodeo.\n", + "Getting embedding for A little boy drinks milk and gets milk all over his face and table.\n", + "Getting embedding for Woman with green sweater and sunglasses smiling\n", + "Getting embedding for A dog jumps to catch a toy in the snow.\n", + "Getting embedding for A woman on the side of a street is making food on her cart.\n", + "Getting embedding for A young woman tries to stick her foot in a fountain.\n", + "Getting embedding for A smiling man cooks something delicious.\n", + "Getting embedding for A woman in colorful native attire featuring a blue shirt with a colorful design displays her dark hair braided with red ribbons.\n", + "Getting embedding for Two older men are talking.\n", + "Getting embedding for Three dogs in different shades of brown and white biting and licking each other.\n", + "Getting embedding for A man and a woman being intimate, with their legs in the water.\n", + "Getting embedding for A dog is chasing a ball in a backyard.\n", + "Getting embedding for A male painting a scene in front of him.\n", + "Getting embedding for Two young girls are playing outside in a non-urban environment.\n", + "Getting embedding for a couple are holding hands behind their backs while walking down a street, and the man has his arm around her shoulder.\n", + "Getting embedding for Cheerleaders are on the field cheering.\n", + "Getting embedding for A young woman is playing the violin.\n", + "Getting embedding for A man in costume is ringing a bell.\n", + "Getting embedding for Tourists waiting at a train stop.\n", + "Getting embedding for two small girls walk along the leaves.\n", + "Getting embedding for Two pre-teen girls listening to music on an MP3 player with headphones.\n", + "Getting embedding for The furry brown dog is swimming in the ocean.\n", + "Getting embedding for A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.\n", + "Getting embedding for Little Girl in brown shirt and blue jean skirt dances on wood floor.\n", + "Getting embedding for A man holding a green bowling ball stands by the ball return machine in a bowling alley.\n", + "Getting embedding for A Little League team tries to catch a runner sliding into a base in an afternoon game.\n", + "Getting embedding for A row of legs and black boots with a boy sitting at the end of the row.\n", + "Getting embedding for Two people loading brush on a trailer attached to a truck.\n", + "Getting embedding for A woman is walking across the street eating a banana, while a man is following with his briefcase.\n", + "Getting embedding for Three men standing on grass by the water looking at something on a table.\n", + "Getting embedding for An oddly dressed man pushing a stroller down a sidewalk in a park.\n", + "Getting embedding for Various people hanging around outside of a building.\n", + "Getting embedding for A man is painting a portrait of an outside scene that includes a street sign with a bicycle chained to it.\n", + "Getting embedding for a skateboarder skates in the pool.\n", + "Getting embedding for A big brown dog swims towards the camera.\n", + "Getting embedding for A shot-on-goal action photo of soccer players in red and black uniforms.\n", + "Getting embedding for Three people are sitting on a bench.\n", + "Getting embedding for Two young men drink beer, leaning on a graffitied wall.\n", + "Getting embedding for A man in a tan suit is using a pay phone to make a call.\n", + "Getting embedding for Cheerleaders are on the field cheering.\n", + "Getting embedding for A blond woman with two children is checking out at a Walmart register.\n", + "Getting embedding for Women exercising one woman has a green mat and black outfit on.\n", + "Getting embedding for People on bicycles waiting at an intersection.\n", + "Getting embedding for A man in a striped polo shirt is pointing and smiling.\n", + "Getting embedding for A mountain biker jumping a slope outdoors in a forest area.\n", + "Getting embedding for A small white dog running on a pebble covered beach.\n", + "Getting embedding for A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.\n", + "Getting embedding for A young Asian man sits behind a set chessboard waiting for the other player to arrive.\n", + "Getting embedding for Cheerleaders are on the field cheering.\n", + "Getting embedding for Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.\n", + "Getting embedding for Two men are standing outside and snow is on the ground.\n", + "Getting embedding for Two people standing in front of a large statue of a woman, other statues and busts visible in the background.\n", + "Getting embedding for One biker is running with their bike while another is riding around them.\n", + "Getting embedding for A woman in a blue shirt and green hat looks up at the camera.\n", + "Getting embedding for a young man wearing a backpack and sunglasses is walking towards a shopping area.\n", + "Getting embedding for A man and woman watching two kids while the man holds a balloon.\n", + "Getting embedding for A child stoops to pick up a watermelon from a large pile of them.\n", + "Getting embedding for A woman is sitting at an outdoor dining table.\n", + "Getting embedding for Asian city scene of people in street with bright lights and glass buildings behind.\n", + "Getting embedding for A man, wearing revolutionary period clothes, is ringing a bell.\n", + "Getting embedding for A man carrying a load of fresh direct boxes on car with wheels in the city streets, as a woman walks towards him.\n", + "Getting embedding for A man parasails in the choppy water.\n", + "Getting embedding for A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.\n", + "Getting embedding for A foreign family is walking along a dirt path next to the water.\n", + "Getting embedding for Two girls, each in a dress walking together.\n", + "Getting embedding for A black-and-white dog carries a stick in his mouth as he swims in the clear water.\n", + "Getting embedding for Stacks of neatly folded clothing cover most of this floor while a woman with a beige shirt and jeans busily fills a suitcase.\n", + "Getting embedding for Woman at Walmart check-out having her groceries bagged by an employee.\n", + "Getting embedding for A doctor checks the stomach of a toddler.\n", + "Getting embedding for A couple, wearing black, burgundy, and white, dance.\n", + "Getting embedding for The young man is waiting with others on the sidewalk.\n", + "Getting embedding for A street vendor in Asia tries to bring in more customers.\n", + "Getting embedding for A man being airlifted to safety after being in danger.\n", + "Getting embedding for A man and a woman are walking on a street at the top of a hill.\n", + "Getting embedding for Wet brown dog swims towards camera.\n", + "Getting embedding for Five men, one wearing a white shirt standing on something, hanging up a picture of a child.\n", + "Getting embedding for A man riding a dirt bike\n", + "Getting embedding for Two Asian people sit at a blue table in a food court.\n", + "Getting embedding for A white dog runs along a rocky shoreline.\n", + "Getting embedding for A woman talks to two other women and a man with notepads in an office building with large windows.\n", + "Getting embedding for A young man is performing a jump on a skateboard while another young man photographs his stunt.\n", + "Getting embedding for A couple pose in front of a fountain.\n", + "Getting embedding for Bicyclists waiting at an intersection.\n", + "Getting embedding for A man riding a dirt bike\n", + "Getting embedding for There are cars driving down a street with a sign displaying Welcome to Golden.\n", + "Getting embedding for BMX biker jumps over a ravine.\n", + "Getting embedding for A couple, who appear to be Indian or Pakistani, walk on a path beside a body of water, the mother carrying a child in a diaper, the father wrapped in a blanket with the logo of the humanitarian organization \"Save the Children.\"\n", + "Getting embedding for A track event held by J.P. Morgan Chase with security.\n", + "Getting embedding for A man in a gold foils skirt, sitting at a computer desk, looks at the camera with his hands raised to his face.\n", + "Getting embedding for Two little girls lie on the carpet next to an O made of wooden blocks.\n", + "Getting embedding for A young boy wearing a light blue jacket walks across the brick patio.\n", + "Getting embedding for A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.\n", + "Getting embedding for A dog in the water carries a stick in his mouth.\n", + "Getting embedding for A barber waiting for customers.\n", + "Getting embedding for a girl wearing a blue and pink swimsuit is throwing stones into a lake.\n", + "Getting embedding for A woman is running a marathon in a park.\n", + "Getting embedding for A child with a yellow cup and milk all over his face.\n", + "Getting embedding for An excited, smiling woman stands at a red railing as she holds a boombox to one side.\n", + "Getting embedding for There are four Eastern guys working on and hanging pictures of humans.\n", + "Getting embedding for Two men are cooking in the kitchen using rice milk.\n", + "Getting embedding for A meeting of young people sitting at a conference table.\n", + "Getting embedding for Indian lady and a guy in a blue suit dancing in the sunlight.\n", + "Getting embedding for A dog is preparing to run away from a person interacting with it.\n", + "Getting embedding for Two women holding children talking to one another.\n", + "Getting embedding for A man is putting up a poster in front of a shop.\n", + "Getting embedding for A soccer game played by a blue team and a red team on a perfectly manicured field at dusk.\n", + "Getting embedding for Two men are painting a building while a third is walking past on his cellphone.\n", + "Getting embedding for Young woman running as two guys in the back try to catch up to her.\n", + "Getting embedding for Asian city scene of people in street with bright lights and glass buildings behind.\n", + "Getting embedding for A baseball player is putting all his might in to throwing a ball.\n", + "Getting embedding for Group of young women in dresses strolling on the sidewalk.\n", + "Getting embedding for A woman talks to two other women and a man with notepads in an office building with large windows.\n", + "Getting embedding for a young girl in a flowery dress surrounded by watermelons\n", + "Getting embedding for People going for a long walk to the mountains.\n", + "Getting embedding for A group of young girls playing jump rope in the street.\n", + "Getting embedding for A woman is making a clay pot.\n", + "Getting embedding for A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.\n", + "Getting embedding for A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.\n", + "Getting embedding for A mountain biker jumping a slope outdoors in a forest area.\n", + "Getting embedding for An elderly couple dances next to a table where a boy is sitting with his head down.\n", + "Getting embedding for People in a meeting setting paying attention to a speaker in an orange shirt.\n", + "Getting embedding for A lady is kneeling wearing a blue shirt.\n", + "Getting embedding for A couple holding hands walks down a street.\n", + "Getting embedding for Three small puppies bite and play together in the grass.\n", + "Getting embedding for Four people are acting behind a woman in a yellow shirt is lying on the ground.\n", + "Getting embedding for a woman in a red jacket watches as a black and brown dog runs away from her in woodland clearing.\n", + "Getting embedding for A man dances with a fire baton at night.\n", + "Getting embedding for A man stare at a passing couple while walking down the block.\n", + "Getting embedding for Two older men in winter coats talking outside of a shop with a grassy lawn covered in a light coat of snow in front of it.\n", + "Getting embedding for A man and woman are walking down the street holding hands.\n", + "Getting embedding for A man is putting up a poster in front of a shop.\n", + "Getting embedding for Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.\n", + "Getting embedding for Hispanic woman wearing a red plaid shirt works on sewing an article of clothing.\n", + "Getting embedding for A man and a woman are holding hands.\n", + "Getting embedding for A man holding a green bowling ball stands by the ball return machine in a bowling alley.\n", + "Getting embedding for A man parasails in the choppy water.\n", + "Getting embedding for The person is surfing.\n", + "Getting embedding for A man is wearing many silver necklaces.\n", + "Getting embedding for A brown dog running with two white and brown dogs on the seashore with crashing waves behind them.\n", + "Getting embedding for A person rides a bike outdoors.\n", + "Getting embedding for 1 little boy wearing a pirate costume following closely behind a little girl wearing a blue dress carrying a orange pumpkin bucket and walking down the sidewalk.\n", + "Getting embedding for The young violinist is a woman.\n", + "Getting embedding for A young woman packs belongings into a black suitcase.\n", + "Getting embedding for People are on their bikes.\n", + "Getting embedding for A man carrying a load of fresh direct boxes on car with wheels in the city streets, as a woman walks towards him.\n", + "Getting embedding for A man is using his computer while seated at a desk.\n", + "Getting embedding for There are people outdoors.\n", + "Getting embedding for A young man in his mid twenties is kicking his left foot about two feet off the leaf covered ground, with paved asphalt and green plants and trees in the background.\n", + "Getting embedding for Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.\n", + "Getting embedding for A young lady is looking at her camera.\n", + "Getting embedding for A woman is outside.\n", + "Getting embedding for A man holding a green bowling ball stands by the ball return machine in a bowling alley.\n", + "Getting embedding for 2 women are carrying little girls.\n", + "Getting embedding for A person is performing.\n", + "Getting embedding for A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.\n", + "Getting embedding for Cars are passing through a town.\n", + "Getting embedding for A woman has children with her at the check out counter.\n", + "Getting embedding for The woman is wearing green.\n", + "Getting embedding for Men watching motorcyclist.\n", + "Getting embedding for A man stares at a passing couple.\n", + "Getting embedding for A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.\n", + "Getting embedding for People have bikes\n", + "Getting embedding for Firemen walking outside\n", + "Getting embedding for A man is sitting with his head facing down, while other people are looking in his direction.\n", + "Getting embedding for A young man in his mid twenties is kicking his left foot about two feet off the leaf covered ground, with paved asphalt and green plants and trees in the background.\n", + "Getting embedding for A dog swims in a body of water.\n", + "Getting embedding for The woman is outdoors.\n", + "Getting embedding for A sumo wrestler with a brown belt is pushing another wrestler in a bout.\n", + "Getting embedding for A man and a woman are walking on a street at the top of a hill.\n", + "Getting embedding for A woman is inside.\n", + "Getting embedding for A groom and bride are standing outside.\n", + "Getting embedding for A couple of people are holding hands while walking.\n", + "Getting embedding for A couple of people are loading brush onto a trailer that is attached to a truck.\n", + "Getting embedding for Three kids are sitting on a rock.\n", + "Getting embedding for A meeting of young people sitting at a conference table.\n", + "Getting embedding for A doctor checks the stomach of a toddler.\n", + "Getting embedding for Bikers stop and wait for traffic at the intersection.\n", + "Getting embedding for A man sitting in a barber shop.\n", + "Getting embedding for A young woman packs belongings into a black luggage carrier.\n", + "Getting embedding for A barber waiting for customers.\n", + "Getting embedding for People are looking at sculptures at a museum.\n", + "Getting embedding for A girl is dancing in a brown shirt and blue jean skirt on a wooden floor\n", + "Getting embedding for Three puppies are playing outside.\n", + "Getting embedding for A woman in colorful native attire featuring a blue shirt with a colorful design displays her dark hair braided with red ribbons.\n", + "Getting embedding for A man hangs a poster in front of a shop.\n", + "Getting embedding for There are lots of cars on the street.\n", + "Getting embedding for A man parasails in the choppy water.\n", + "Getting embedding for Choir singing in mass.\n", + "Getting embedding for A biker is doing jumps by trees.\n", + "Getting embedding for A man is showing a woman something\n", + "Getting embedding for J.P. Morgan Chase held a track event.\n", + "Getting embedding for A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.\n", + "Getting embedding for A couple playing with a little boy on the beach.\n", + "Getting embedding for A woman talks to others indoors.\n", + "Getting embedding for A group of people sitting at a table outside talking.\n", + "Getting embedding for A child with a brightly colored shirt plays outside.\n", + "Getting embedding for The three young childeren were hold an apple with a bite on it\n", + "Getting embedding for A woman is outside.\n", + "Getting embedding for People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.\n", + "Getting embedding for A man is wearing a shirt.\n", + "Getting embedding for People are riding their bicycles.\n", + "Getting embedding for A woman is inside.\n", + "Getting embedding for Bikers stop and wait for traffic at the intersection.\n", + "Getting embedding for A woman is wearing a red jacket\n", + "Getting embedding for A man, wearing revolutionary period clothes, is ringing a bell.\n", + "Getting embedding for A man is wearing many silver necklaces.\n", + "Getting embedding for The people are holding onto the rail.\n", + "Getting embedding for A child has milk on their face.\n", + "Getting embedding for A man walking proudly down the street.\n", + "Getting embedding for An english farmer with a horse pulled wagon.\n", + "Getting embedding for A child with a yellow cup and milk all over his face.\n", + "Getting embedding for Small boy in pool holds toy.\n", + "Getting embedding for A man is sitting with his head facing down, while other people are looking in his direction.\n", + "Getting embedding for A child swimming.\n", + "Getting embedding for A woman is wearing a red jacket\n", + "Getting embedding for A man is hanging a picture of a child.\n", + "Getting embedding for Cheerleaders cheering.\n", + "Getting embedding for People wait for a race to begin.\n", + "Getting embedding for A woman wearing a blue shirt and green hat looks at the camera\n", + "Getting embedding for A man, wearing revolutionary period clothes, is ringing a bell.\n", + "Getting embedding for A young man in his mid twenties is kicking his left foot about two feet off the leaf covered ground, with paved asphalt and green plants and trees in the background.\n", + "Getting embedding for A man sitting in a barber shop.\n", + "Getting embedding for A woman wearing a blue shirt and green hat looks at the camera\n", + "Getting embedding for A man is painting a portrait of an outside scene that includes a street sign with a bicycle chained to it.\n", + "Getting embedding for A man parasails in the choppy water.\n", + "Getting embedding for The man is being stared at.\n", + "Getting embedding for A man is outside.\n", + "Getting embedding for There are a group of people are standing outside.\n", + "Getting embedding for A young man doing a trick on a skateboard down the stairs while being photographed.\n", + "Getting embedding for A person eating.\n", + "Getting embedding for People are looking in a car.\n", + "Getting embedding for A couple holding hands walks down a street.\n", + "Getting embedding for A dog swims towards the camera.\n", + "Getting embedding for Two men cook together with a metal bowl, near a hanging plant.\n", + "Getting embedding for The dogs run and play with a red ball.\n", + "Getting embedding for The women work in the health field.\n", + "Getting embedding for A woman sitting in a laundromat looking at the camera.\n", + "Getting embedding for A woman is lying down.\n", + "Getting embedding for A dog swims in a body of water.\n", + "Getting embedding for A man, wearing revolutionary period clothes, is ringing a bell.\n", + "Getting embedding for People are near snow.\n", + "Getting embedding for The people are all jumping into a body of water.\n", + "Getting embedding for A young woman tries to stick her foot in a fountain.\n", + "Getting embedding for A man is showing a woman something\n", + "Getting embedding for A child is pulling a toy wagon.\n", + "Getting embedding for A white bike is leaning against a post.\n", + "Getting embedding for A woman standing behind a grill outside with a blue basket of food in her hands.\n", + "Getting embedding for A dog drops a red disc on a beach.\n", + "Getting embedding for They are walking with a sign.\n", + "Getting embedding for A vendor trying to attract costumers.\n", + "Getting embedding for A woman talks to two other women and a man with notepads in an office building with large windows.\n", + "Getting embedding for A boy is in a boat.\n", + "Getting embedding for A woman is sitting at an outdoor dining table.\n", + "Getting embedding for There are soccer players on the field.\n", + "Getting embedding for A little boy swimming underwater with a toy in his hand.\n", + "Getting embedding for A dog is playing in the grass.\n", + "Getting embedding for A large group, wearing pink shirts, waves to onlookers.\n", + "Getting embedding for Two people are having a conversation.\n", + "Getting embedding for A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.\n", + "Getting embedding for A good-looking firefighter sets up \"Do Not Cross\" tape in the city.\n", + "Getting embedding for A man in a white shirt hangs a painting in a run down store while other men watch.\n", + "Getting embedding for The women and the man are on a bench.\n", + "Getting embedding for A person on skis on a rail at night.\n", + "Getting embedding for A large group, wearing pink shirts, waves to onlookers.\n", + "Getting embedding for A Little League team tries to catch a runner sliding into a base in an afternoon game.\n", + "Getting embedding for A brown dog running with two white and brown dogs on the seashore with crashing waves behind them.\n", + "Getting embedding for Emergency personnel looking into the back of a car.\n", + "Getting embedding for A young lady is looking at a picture.\n", + "Getting embedding for The toddler is getting a checkup.\n", + "Getting embedding for A team is trying to tag a runner out.\n", + "Getting embedding for Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.\n", + "Getting embedding for An average looking man is playing the guitar.\n", + "Getting embedding for A soccer match between a team with white jerseys, and a team with yellow jerseys.\n", + "Getting embedding for A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.\n", + "Getting embedding for A man walking along side a clean up crew.\n", + "Getting embedding for A biker is doing jumps by trees.\n", + "Getting embedding for A street vendor in Asia tries to bring in more customers.\n", + "Getting embedding for A blond woman with two children is checking out at a Walmart register.\n", + "Getting embedding for There is a family taking a walk outside.\n", + "Getting embedding for man sitting down playing a game of chess alone\n", + "Getting embedding for A man is using his computer while seated at a desk.\n", + "Getting embedding for A view of buildings and people walking across the streets in Times Square, New York City.\n", + "Getting embedding for A lady is kneeling wearing a blue shirt.\n", + "Getting embedding for A couple carrying a child are walking along water.\n", + "Getting embedding for A man in ruffles pushes a stroller through a park.\n", + "Getting embedding for A couple pose in front of a fountain.\n", + "Getting embedding for A human wearing a dress.\n", + "Getting embedding for A little boy drinks milk and gets milk all over his face and table.\n", + "Getting embedding for A young woman tries to stick her foot in a fountain.\n", + "Getting embedding for A woman is sitting at an outdoor dining table.\n", + "Getting embedding for A person is painting.\n", + "Getting embedding for A soccer game played by a blue team and a red team on a perfectly manicured field at dusk.\n", + "Getting embedding for An elderly couple dances next to a table where a boy is sitting with his head down.\n", + "Getting embedding for A person in a red dress is running behind a black animal.\n", + "Getting embedding for A little boy drinks milk and gets milk all over his face and table.\n", + "Getting embedding for A woman with dark hair is wearing a green sweater.\n", + "Getting embedding for A model is doing a shoot.\n", + "Getting embedding for A young man has his head on the table.\n", + "Getting embedding for The young man is waiting with others on the sidewalk.\n", + "Getting embedding for A meeting of young people sitting at a conference table.\n", + "Getting embedding for Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.\n", + "Getting embedding for A boy in a blue, yellow, and orange shirt holding his arms out from his sides.\n", + "Getting embedding for A sign reads \"Welcome to Golden\"\n", + "Getting embedding for Two girls lay next to wooden blocks.\n", + "Getting embedding for A meeting of young people sitting at a conference table.\n", + "Getting embedding for A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.\n", + "Getting embedding for A couple holding hands walks down a street.\n", + "Getting embedding for A man watches another man.\n", + "Getting embedding for A group sits outside while talking.\n", + "Getting embedding for A human wearing a dress.\n", + "Getting embedding for A man wearing weird clothes is walking through a park.\n", + "Getting embedding for A driver is racing his Ford vehicle on a gravel track.\n", + "Getting embedding for The woman has one foot in the air.\n", + "Getting embedding for A man and woman walk on a street.\n", + "Getting embedding for A person eating.\n", + "Getting embedding for A girl wearing a dress is blowing bubbles at a dock.\n", + "Getting embedding for A smiling man cooks something delicious.\n", + "Getting embedding for A human standing.\n", + "Getting embedding for A brown dog running with two white and brown dogs on the seashore with crashing waves behind them.\n", + "Getting embedding for People are looking in a car.\n", + "Getting embedding for Man riding bike\n", + "Getting embedding for A worker is doing something to a boat.\n", + "Getting embedding for The dogs were outdoors running along the shore\n", + "Getting embedding for A team is trying to tag a runner out.\n", + "Getting embedding for A black-and-white dog carries a stick in his mouth as he swims in the clear water.\n", + "Getting embedding for The man is holding a balloon.\n", + "Getting embedding for A female violinist surrounded by other violinists.\n", + "Getting embedding for A man in a striped polo shirt is pointing and smiling.\n", + "Getting embedding for A group watches a practice.\n", + "Getting embedding for A person is painting.\n", + "Getting embedding for A young man is performing a jump on a skateboard while another young man photographs his stunt.\n", + "Getting embedding for People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.\n", + "Getting embedding for A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.\n", + "Getting embedding for A woman is near a fountain.\n", + "Getting embedding for A person in a red dress is running behind a black animal.\n", + "Getting embedding for A man hangs a poster in front of a shop.\n", + "Getting embedding for One biker is running with their bike while another is riding around them.\n", + "Getting embedding for A man is putting up a poster in front of a shop.\n", + "Getting embedding for An elderly couple dances next to a table where a boy is sitting with his head down.\n", + "Getting embedding for Two men are standing outside and snow is on the ground.\n", + "Getting embedding for A woman with dark hair is wearing a green sweater.\n", + "Getting embedding for A man walking along side a clean up crew.\n", + "Getting embedding for A young lady is looking at her camera.\n", + "Getting embedding for A man is painting a landscape of an outdoors area.\n", + "Getting embedding for A man wearing blue jeans and red bowling shoes stands in a bowling alley lane with a green ball in his hand.\n", + "Getting embedding for A small group of church-goers watch a choir practice.\n", + "Getting embedding for A woman is dressed stylishly in native garb.\n", + "Getting embedding for A boat worker securing line.\n", + "Getting embedding for A street vendor in Asia tries to bring in more customers.\n", + "Getting embedding for A family by a van.\n", + "Getting embedding for A man and a woman are walking on a street at the top of a hill.\n", + "Getting embedding for A dog swims in a body of water.\n", + "Getting embedding for 1 little boy wearing a pirate costume following closely behind a little girl wearing a blue dress carrying a orange pumpkin bucket and walking down the sidewalk.\n", + "Getting embedding for Firemen walking outside\n", + "Getting embedding for A young girl dancing in her socks on a wooden floor strewn with pink balloons.\n", + "Getting embedding for A gentleman in a purple scarf and hat is looking at money while holding an accordion.\n", + "Getting embedding for A person in a red dress is running behind a black animal.\n", + "Getting embedding for He is wearing a multicolored shirt\n", + "Getting embedding for A woman is near a fountain.\n", + "Getting embedding for A man and a woman are holding hands as they walk along a city sidewalk.\n", + "Getting embedding for Child with pink strings on head dancing surrounded by confetti, balloons.\n", + "Getting embedding for A couple, who appear to be Indian or Pakistani, walk on a path beside a body of water, the mother carrying a child in a diaper, the father wrapped in a blanket with the logo of the humanitarian organization \"Save the Children.\"\n", + "Getting embedding for A blond woman with two children is checking out at a Walmart register.\n", + "Getting embedding for A family between a van and fence\n", + "Getting embedding for A blond woman with her hair up is taking off a white sweatshirt.\n", + "Getting embedding for A soccer game is happening.\n", + "Getting embedding for A dog is outside playing in the water.\n", + "Getting embedding for A child with a brightly colored shirt plays outside.\n", + "Getting embedding for People are playing soccer.\n", + "Getting embedding for A couple carrying a child are walking along water.\n", + "Getting embedding for A man hangs a poster in front of a shop.\n", + "Getting embedding for A fuzzy white lap dog runs along a rocky beach.\n", + "Getting embedding for Boy in costume followed by a girl in costume.\n", + "Getting embedding for A woman with children.\n", + "Getting embedding for A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.\n", + "Getting embedding for A person is cooking.\n", + "Getting embedding for A man dances with a fire baton at night.\n", + "Getting embedding for A person holding a green bowling ball stands by the ball return machine in a bowling alley.\n", + "Getting embedding for A group of people are playing a game of soccer.\n", + "Getting embedding for The skier is wearing a yellow jumpsuit and sliding across a yellow rail.\n", + "Getting embedding for A man is wearing many silver necklaces.\n", + "Getting embedding for Two men are around a bowl.\n", + "Getting embedding for A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.\n", + "Getting embedding for Man riding bike\n", + "Getting embedding for A man is outside, near the street.\n", + "Getting embedding for 2 women are carrying little girls.\n", + "Getting embedding for People are skydiving.\n", + "Getting embedding for The Arsenal football club warms-up on the soccer field as a few fans watch.\n", + "Getting embedding for There are lots of cars on the street.\n", + "Getting embedding for A group of tourist waiting for a train at a train station.\n", + "Getting embedding for The school children head home.\n", + "Getting embedding for A group of people sitting around a picnic table.\n", + "Getting embedding for A woman is wearing a red jacket\n", + "Getting embedding for The man knows how to play guitar.\n", + "Getting embedding for A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.\n", + "Getting embedding for A boy in a red and blue shirt painting a log.\n", + "Getting embedding for A man being airlifted to safety after being in danger.\n", + "Getting embedding for An old couple dance in by a juke box while a dude wearing shorts sleeps near a table\n", + "Getting embedding for A blond child is pulling a wagon with a little blond boy in it.\n", + "Getting embedding for A skier slides along a metal rail.\n", + "Getting embedding for A group of young men are splashing a lot of water.\n", + "Getting embedding for A groom and a bride are standing on the grass with his hand on her waist.\n", + "Getting embedding for A man is standing on top of a cart.\n", + "Getting embedding for A boy in a tri-colored shirt has his arms out to the side.\n", + "Getting embedding for A town has witnessed the arrival of three bikers.\n", + "Getting embedding for The woman is wearing green.\n", + "Getting embedding for A couple of people are loading brush onto a trailer that is attached to a truck.\n", + "Getting embedding for A woman is filling a suitcase.\n", + "Getting embedding for A woman in a blue shirt and green hat looks up at the camera.\n", + "Getting embedding for A man dances with a fire baton at night.\n", + "Getting embedding for A skater is in the pool.\n", + "Getting embedding for A black-and-white dog carries a stick in his mouth as he swims in the clear water.\n", + "Getting embedding for A young girl dancing in her socks on a wooden floor strewn with pink balloons.\n", + "Getting embedding for A person is near a watermelon.\n", + "Getting embedding for A woman on the side of a street is making food on her cart.\n", + "Getting embedding for A competition is happening.\n", + "Getting embedding for Three guys and a girl are all jumping in a pool together.\n", + "Getting embedding for A bike it outside\n", + "Getting embedding for A man is hanging up a picture of a child.\n", + "Getting embedding for A man walking proudly down the street.\n", + "Getting embedding for A group of people sitting around a picnic table.\n", + "Getting embedding for A row of legs and black boots with a boy sitting at the end of the row.\n", + "Getting embedding for A doctor checks the stomach of a toddler.\n", + "Getting embedding for Stacks of neatly folded clothing cover most of this floor while a woman with a beige shirt and jeans busily fills a suitcase.\n", + "Getting embedding for Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.\n", + "Getting embedding for The skier is wearing a yellow jumpsuit and sliding across a yellow rail.\n", + "Getting embedding for A woman is walking across the street eating a banana, while a man is following with his briefcase.\n", + "Getting embedding for A good-looking firefighter sets up \"Do Not Cross\" tape in the city.\n", + "Getting embedding for A couple, wearing black, burgundy, and white, dance.\n", + "Getting embedding for A dog is swimming.\n", + "Getting embedding for A couple, wearing black, burgundy, and white, dance.\n", + "Getting embedding for A child stoops to pick up a watermelon from a large pile of them.\n", + "Getting embedding for A dog carries a stick in his mouth.\n", + "Getting embedding for Busy Japanese intersection like maybe Tokyo.\n", + "Getting embedding for Three men standing on grass by the water looking at something on a table.\n", + "Getting embedding for A black dog swimming in water near rocks.\n", + "Getting embedding for A baseball player is swinging to hit the ball.\n", + "Getting embedding for A man and two women in black jackets holding umbrellas sit on a long wooden bench.\n", + "Getting embedding for The people are near the table.\n", + "Getting embedding for Children going home from school.\n", + "Getting embedding for A man and woman are walking down the street holding hands.\n", + "Getting embedding for A dog is outside playing in the water.\n", + "Getting embedding for Several people are dancing together in sync.\n", + "Getting embedding for A couple, wearing black, burgundy, and white, dance.\n", + "Getting embedding for A group of tourist waiting for a train at a train station.\n", + "Getting embedding for A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.\n", + "Getting embedding for A child is pulling a toy wagon.\n", + "Getting embedding for The furry brown dog is swimming in the ocean.\n", + "Getting embedding for The man knows how to play guitar.\n", + "Getting embedding for The furry brown dog is swimming in the ocean.\n", + "Getting embedding for People going for a long walk to the mountains.\n", + "Getting embedding for A boy in a tri-colored shirt has his arms out to the side.\n", + "Getting embedding for A woman is running a marathon in a park.\n", + "Getting embedding for A family between a van and fence\n", + "Getting embedding for A doctor checks the stomach of a toddler.\n", + "Getting embedding for 1 little boy wearing a pirate costume following closely behind a little girl wearing a blue dress carrying a orange pumpkin bucket and walking down the sidewalk.\n", + "Getting embedding for A man carrying a load of fresh direct boxes on car with wheels in the city streets, as a woman walks towards him.\n", + "Getting embedding for A man walking proudly down the street.\n", + "Getting embedding for A couple playing with a little boy on the beach.\n", + "Getting embedding for An elderly couple dance in front of a juke box while a guy in shorts sleeps at a nearby table\n", + "Getting embedding for A person is sitting down.\n", + "Getting embedding for Some humans in a truck\n", + "Getting embedding for A young woman tries to stick her foot in a fountain.\n", + "Getting embedding for Two men are around a bowl.\n", + "Getting embedding for A group of people are playing a game of soccer.\n", + "Getting embedding for A man being photographed while he does a trick on his skateboard down the stairs.\n", + "Getting embedding for A dog is nearby a person\n", + "Getting embedding for Children playing a game in a field.\n", + "Getting embedding for Bicyclists waiting at an intersection.\n", + "Getting embedding for A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.\n", + "Getting embedding for A boy in a blue, yellow, and orange shirt plays outside.\n", + "Getting embedding for Workers are taking a break during midday.\n", + "Getting embedding for A woman in colorful garb with her back to the camera and cloth on her hear.\n", + "Getting embedding for A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.\n", + "Getting embedding for A man in a green shirt holds out a clipboard for a woman in pink's attention.\n", + "Getting embedding for A boy in a blue, yellow, and orange shirt holding his arms out from his sides.\n", + "Getting embedding for Child in red and blue shirt painting a log.\n", + "Getting embedding for Two people with bicycles, one in front running with a bike and one in back riding.\n", + "Getting embedding for Two barefoot men are playing on a green lawn outside a building with other people in the background.\n", + "Getting embedding for A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.\n", + "Getting embedding for A foreign family is walking along a dirt path next to the water.\n", + "Getting embedding for A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.\n", + "Getting embedding for Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.\n", + "Getting embedding for a man wearing a multicolored striped shirt playing the guitar on the street\n", + "Getting embedding for Man wearing black t-shirt sitting at a computer desk.\n", + "Getting embedding for A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.\n", + "Getting embedding for A man riding a dirt bike\n", + "Getting embedding for A white and brown dog is leaping through the air.\n", + "Getting embedding for A group of people are sitting around a table under a blue sunshade.\n", + "Getting embedding for Woman balancing on edge of fountain while sticking her toe in the water.\n", + "Getting embedding for Overlooking a street with a sign above shops that states Welcome To Golden.\n", + "Getting embedding for A blond man is drinking from a public fountain.\n", + "Getting embedding for Two women who just had lunch hugging and saying goodbye.\n", + "Getting embedding for Toddler with milk around his mouth.\n", + "Getting embedding for A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.\n", + "Getting embedding for Child in red and blue shirt painting a log.\n", + "Getting embedding for Asian city scene of people in street with bright lights and glass buildings behind.\n", + "Getting embedding for The boy in the blue and yellow top is standing with arms outstretched.\n", + "Getting embedding for A person in an orange shirt is laying on the ground while others are standing around her, smiling.\n", + "Getting embedding for A man windsurfs in a wetsuit.\n", + "Getting embedding for A young boy with a blue coat makes a funny face as he walks towards the grass.\n", + "Getting embedding for A woman sitting at a table, taking a picture.\n", + "Getting embedding for A motorcycle racer is in action at the track.\n", + "Getting embedding for The red team knocked the ball toward the goal and the black team tried to block it.\n", + "Getting embedding for A guy performing a bicycle jump trick for an audience.\n", + "Getting embedding for Three firefighters, the nearest firefighter is holding a helmet in his left hand.\n", + "Getting embedding for A small girl stands among many large watermelons.\n", + "Getting embedding for A woman checks her purse while at a outside cafe.\n", + "Getting embedding for Six soccer players on field with player in red uniform in the air and ball airborne.\n", + "Getting embedding for Cheerleaders are doing a cheer at a football field.\n", + "Getting embedding for People sitting down to eat.\n", + "Getting embedding for People are on a stage performing.\n", + "Getting embedding for A woman holding a boombox.\n", + "Getting embedding for Small laughing child with blond-hair sitting at a table holding a green sippy cup.\n", + "Getting embedding for One soccer team is playing against another.\n", + "Getting embedding for An elderly woman places carrots into a casserole.\n", + "Getting embedding for A man is putting up a poster in front of a shop.\n", + "Getting embedding for Two dogs playfully bite a third dog, which has its tongue sticking out.\n", + "Getting embedding for A large golden dog sniffing the butt of a white dog\n", + "Getting embedding for Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.\n", + "Getting embedding for A Land Rover makes its way through a deep pond.\n", + "Getting embedding for People are stretching on yoga mats.\n", + "Getting embedding for A small boy has gotten into the cabinet and gotten flour and crisco all over himself.\n", + "Getting embedding for a man with a white covering is walking up a flight of stairs.\n", + "Getting embedding for A couple of people working around a pile of rocks.\n", + "Getting embedding for Two children are running down a sidewalk dressed in costumes.\n", + "Getting embedding for A man and two women sitting on a bench.\n", + "Getting embedding for Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.\n", + "Getting embedding for Three men, two wearing yellow suits, are looking in the back of a car.\n", + "Getting embedding for Children's soccer game being played while the sun sets in the background.\n", + "Getting embedding for An old man wearing khaki pants and a brown shirt standing on the sidewalk in front of a building.\n", + "Getting embedding for A white horse is pulling a cart while a man stands and watches.\n", + "Getting embedding for A group of people are doing yoga.\n", + "Getting embedding for A woman in a floral dress talks to children in front of a van.\n", + "Getting embedding for Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.\n", + "Getting embedding for A man wearing a colorful and striped sweater plays music in the street.\n", + "Getting embedding for Two children play outside in a field.\n", + "Getting embedding for A man in a blue shirt sits outside alone with a chessboard laid out in front of him.\n", + "Getting embedding for a motorcyclist does a nose wheelie.\n", + "Getting embedding for People are fishing and walking next to the water.\n", + "Getting embedding for A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.\n", + "Getting embedding for A group of adults is having a discussion at a table under a tent.\n", + "Getting embedding for A boy in a blue, yellow, and orange shirt holding his arms out from his sides.\n", + "Getting embedding for A woman with a black jacket walks past an outdoor movie poster.\n", + "Getting embedding for People walking around in a big city.\n", + "Getting embedding for People in line for plates of rice.\n", + "Getting embedding for Three men are grouped around the back of a car with its tailgate out, two of the men clothed in yellow uniforms and one in blue.\n", + "Getting embedding for The cowboy waves to the rodeo crowd.\n", + "Getting embedding for two men serving preparing food.\n", + "Getting embedding for A dog zips along the beach.\n", + "Getting embedding for a woman on a yellow shirt is on the floor.\n", + "Getting embedding for many people relax in the yard.\n", + "Getting embedding for A group of people gathers on the grass in a backyard with tents, tables, and chairs set up.\n", + "Getting embedding for A man dressed in snow-gear takes a leap into a snow-covered ravine.\n", + "Getting embedding for A cowboy is riding a bucking bull in a rodeo arena.\n", + "Getting embedding for A man with wild hair rocks a show playing a guitar center stage.\n", + "Getting embedding for Three construction workers posing with construction materials.\n", + "Getting embedding for three bikers stop in town.\n", + "Getting embedding for A woman wearing all white and eating, walks next to a man holding a briefcase.\n", + "Getting embedding for Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.\n", + "Getting embedding for Five people on stage performing and acting while girl lay's on belly.\n", + "Getting embedding for Two people are next to a fountain with a red bottom and arches of water.\n", + "Getting embedding for a woman with a straw hat working on a strange machine with coconuts at her side.\n", + "Getting embedding for Asian school children sitting on each others shoulders.\n", + "Getting embedding for A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.\n", + "Getting embedding for Asian city scene of people in street with bright lights and glass buildings behind.\n", + "Getting embedding for Students practicing yoga in a class setting.\n", + "Getting embedding for Two soccer teams are competing on a soccer field.\n", + "Getting embedding for People on bicycles waiting at an intersection.\n", + "Getting embedding for An Asian woman in a blue top and green headscarf smiling widely as another woman rows a boat in the background.\n", + "Getting embedding for Two guys playing football on a campus green.\n", + "Getting embedding for A good-looking firefighter sets up \"Do Not Cross\" tape in the city.\n", + "Getting embedding for Girl is blowing to a butterfly.\n", + "Getting embedding for a child is pushing another kid in a wheeler dressed in a red top and wearing a cap.\n", + "Getting embedding for A classroom of students discussing lecture.\n", + "Getting embedding for A group of people point forwards while performing some kind of act.\n", + "Getting embedding for A white bike is tied to a street sign.\n", + "Getting embedding for A guy stands with a green bowling ball in his hand, and looks down the bowling lane.\n", + "Getting embedding for People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.\n", + "Getting embedding for A crowded city during daytime.\n", + "Getting embedding for A fireman protects an area by setting up a boundary while others watch.\n", + "Getting embedding for A lady with sunglasses on her head and a green sweatshirt is looking off-camera.\n", + "Getting embedding for A man is running behind a dogsled being pulled by four dogs.\n", + "Getting embedding for A child in formal clothing is walking along the edge of a stony area that is littered in places.\n", + "Getting embedding for Some children are playing jump rope.\n", + "Getting embedding for An older man dressed in blue historical clothing is ringing a bell in his right hand.\n", + "Getting embedding for A young girl sitting at a table with a bowl on her head\n", + "Getting embedding for Brown dog treads through water.\n", + "Getting embedding for Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.\n", + "Getting embedding for A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.\n", + "Getting embedding for The silhouette of three people in front of a wall.\n", + "Getting embedding for Three people stand proudly by a truck stocked with building supplies in the street.\n", + "Getting embedding for A farmer fertilizing his garden with manure with a horse and wagon.\n", + "Getting embedding for The school is having a special event in order to show the american culture on how other cultures are dealt with in parties.\n", + "Getting embedding for Young people playing with a long jump rope in the street.\n", + "Getting embedding for Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.\n", + "Getting embedding for A saddle bronc rider gets lifted out of the saddle, but keeps his grip during his ride.\n", + "Getting embedding for A boy is jumping on skateboard in the middle of a red bridge.\n", + "Getting embedding for A man doing tricks in the snow.\n", + "Getting embedding for A family with a baby, the father is wearing a save the children sign.\n", + "Getting embedding for A woman preparing to glaze a bowl.\n", + "Getting embedding for The man wearing lots of medals is watching the girl in the yellow bikini top.\n", + "Getting embedding for Three working men smile in front of a truck while holding construction equipment.\n", + "Getting embedding for A boy is drinking out of a water fountain shaped like a woman.\n", + "Getting embedding for A group of people stand on a grassy field.\n", + "Getting embedding for Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.\n", + "Getting embedding for A lady wearing a blue print shirt and green head cover smiles for the camera.\n", + "Getting embedding for A seated woman with short hair and a camera throws a Frisbee to a brown dog.\n", + "Getting embedding for A man in a blue shirt is looking up.\n", + "Getting embedding for Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.\n", + "Getting embedding for Four guys in wheelchairs on a basketball court two are trying to grab a basketball in midair.\n", + "Getting embedding for A man wearing a tan coat signs papers for another man wearing a blue coat.\n", + "Getting embedding for A black and white dog with a stick in its mouth is swimming.\n", + "Getting embedding for Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.\n", + "Getting embedding for A foreign family is walking along a dirt path next to the water.\n", + "Getting embedding for A pirate is chasing a princess down the sidewalk.\n", + "Getting embedding for A doctor in blue scrubs is performing an operation assisted by two men and a woman.\n", + "Getting embedding for A man in shorts and a white garment stands at the base of stairs framed by black railing.\n", + "Getting embedding for A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.\n", + "Getting embedding for A man wearing a rice hat is shucking corn using a corn shucker and is surrounded by trees.\n", + "Getting embedding for A person is a red hat and winter jacket is looking into the distance.\n", + "Getting embedding for A man is sleeping on the grass.\n", + "Getting embedding for Street performer in colorful shirt performing with small guitar.\n", + "Getting embedding for Two men trying to build something together, while having fun.\n", + "Getting embedding for A woman and a girl are playing in a field of leaves\n", + "Getting embedding for A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.\n", + "Getting embedding for A lady is on the floor packing a suitcase.\n", + "Getting embedding for A woman in a blue shirt is sitting at a table and looking at her cellphone.\n", + "Getting embedding for Bicyclists waiting at an intersection.\n", + "Getting embedding for Two people pose for the camera.\n", + "Getting embedding for The parents of the younger male are posing for a picture in front of a water fountain.\n", + "Getting embedding for Toddler with milk around his mouth.\n", + "Getting embedding for A couple play in the tide with their young son.\n", + "Getting embedding for A foreign family is walking along a dirt path next to the water.\n", + "Getting embedding for A woman in capri jeans crouches on the edge of a fountain with her left foot kicked out to touch the falling water.\n", + "Getting embedding for People waiting to get on a train or just getting off.\n", + "Getting embedding for A couple walk through a white brick town.\n", + "Getting embedding for A car sinking in water.\n", + "Getting embedding for Man on the sidewalk sitting on a motorcycle.\n", + "Getting embedding for Gray dog running down pavement toward laundry line in courtyard.\n", + "Getting embedding for Two people enjoying a water fountain display.\n", + "Getting embedding for Toddler with milk around his mouth.\n", + "Getting embedding for A young woman frolicking on the lawn in front of the us capitol building.\n", + "Getting embedding for An older man stands on the sidewalk painting the view.\n", + "Getting embedding for Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.\n", + "Getting embedding for A young toddler wearing pink sandals is walking on hopscotch numbers.\n", + "Getting embedding for Two children in hats play in an open, rocky field.\n", + "Getting embedding for Two large dogs greet other while their owners watch.\n", + "Getting embedding for Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.\n", + "Getting embedding for A woman talks to two other women and a man with notepads in an office building with large windows.\n", + "Getting embedding for A woman wearing a green and pink dress is dancing with someone wearing a blue top with white pants.\n", + "Getting embedding for Two older men in coats are standing outside.\n", + "Getting embedding for A man wearing a blue shirt screaming or yelling with his arms raised up in the air.\n", + "Getting embedding for A man and a woman cross the street in front of a pizza and gyro restaurant.\n", + "Getting embedding for People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.\n", + "Getting embedding for A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.\n", + "Getting embedding for Several men sit outside on brick ledges built around tall trees.\n", + "Getting embedding for A soccer player jumping in air during a game.\n", + "Getting embedding for A man with blond-hair, and a brown shirt drinking out of a public water fountain.\n", + "Getting embedding for A mountain biker jumping a slope outdoors in a forest area.\n", + "Getting embedding for Man in gold pants looking at the camera.\n", + "Getting embedding for A man and a woman having an intimate conversation in front a statue.\n", + "Getting embedding for A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.\n", + "Getting embedding for A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.\n", + "Getting embedding for Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.\n", + "Getting embedding for A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.\n", + "Getting embedding for Exhausted looking firemen are walking.\n", + "Getting embedding for A man dressed in warm clothing sleds behind four dogs in the snow.\n", + "Getting embedding for The blond girl is dancing inside a house.\n", + "Getting embedding for A woman wearing an apron inspects a large pot on a table filled with cups, bowls, pots and baskets of assorted size.\n", + "Getting embedding for People waiting at a light on bikes.\n", + "Getting embedding for Workers are eating a meal while one man sits on a pile of plywood.\n", + "Getting embedding for Black dog jumping into the air to catch a toy in the snow.\n", + "Getting embedding for Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.\n", + "Getting embedding for New sport is being played to show appreciation to the kids who can not walk.\n", + "Getting embedding for A few people in a restaurant setting, one of them is drinking orange juice.\n", + "Getting embedding for A lady in a black and white striped shirt and holding a bouquet of flowers, looks seriously at two gentlemen talking on the steps.\n", + "Getting embedding for A foreign family is walking along a dirt path next to the water.\n", + "Getting embedding for A black dog in snow is jumping off the ground to catch a stick.\n", + "Getting embedding for A little girl picking up a watermelon from a pile.\n", + "Getting embedding for A man wearing black with a gray hat, holding a pitchfork, directs a horse-drawn cart.\n", + "Getting embedding for People on bicycles waiting at an intersection.\n", + "Getting embedding for People relax around a large community fountain in a park.\n", + "Getting embedding for One man sits inside and plays the banjo, there are trees behind him outside.\n", + "Getting embedding for A child using a woodworking tool\n", + "Getting embedding for a lone person jumping through the air from one snowy mountain to another.\n", + "Getting embedding for A little boy in a pirate costume is running behind a little girl in a princess costume carrying an orange pumpkin along the sidewalk.\n", + "Getting embedding for Bicyclists waiting at an intersection.\n", + "Getting embedding for A man dressed in blue shirt and shorts sits at a table while playing black in chess.\n", + "Getting embedding for Cheerleaders are on the field cheering.\n", + "Getting embedding for A windsurfer is balancing on choppy water.\n", + "Getting embedding for A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.\n", + "Getting embedding for Child in red and blue shirt painting a log.\n", + "Getting embedding for A man holds a clipboard and a pen as a woman looks at them.\n", + "Getting embedding for a man wearing blue plays soccer.\n", + "Getting embedding for A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.\n", + "Getting embedding for A woman playing the violin with sunglasses on her head.\n", + "Getting embedding for Biker riding dirt bike on dirt track\n", + "Getting embedding for A little girl follows two guys with umbrellas down a path.\n", + "Getting embedding for A boy in a blue, yellow, and orange shirt holding his arms out from his sides.\n", + "Getting embedding for A man is sitting on a motorcycle on the sidewalk.\n", + "Getting embedding for A woman talking to four little children outside.\n", + "Getting embedding for A man riding a dirt bike\n", + "Getting embedding for A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.\n", + "Getting embedding for A kite surfer begins to fall in the ocean.\n", + "Getting embedding for woman and child on trolley car labeled Powell and market and bay and taylor\n", + "Getting embedding for three bikers stop in town.\n", + "Getting embedding for A man in a kitchen is frying breaded food in a cast iron pan.\n", + "Getting embedding for A man wearing a gray cap is looking down.\n", + "Getting embedding for A woman in blue jeans and a dark jacket walks in front of a building.\n", + "Getting embedding for People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.\n", + "Getting embedding for Two people dancing, wearing dance costumes.\n", + "Getting embedding for A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.\n", + "Getting embedding for Two blond women are hugging one another.\n", + "Getting embedding for A view of a marketplace full of people in an asian country.\n", + "Getting embedding for A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.\n", + "Getting embedding for An elderly man is drinking orange juice at a cafe.\n", + "Getting embedding for A woman in a black and orange jacket throws a stick for a brown and black dog to fetch.\n", + "Getting embedding for A young man in blue sunglasses walking in front of a red brick building.\n", + "Getting embedding for Two women, holding food carryout containers, hug.\n", + "Getting embedding for Lady wearing a yellow top is sitting on a chair\n", + "Getting embedding for A man riding a dirt bike\n", + "Getting embedding for A woman is walking across the street eating a banana, while a man is following with his briefcase.\n", + "Getting embedding for A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.\n", + "Getting embedding for A group of people are playing soccer and two players from opposing teams are battling for the ball.\n", + "Getting embedding for Cheerleaders are on the field cheering.\n", + "Getting embedding for Two children, in colorful outfits, playing in a field with a big rock in the middle.\n", + "Getting embedding for three bikers stop in town.\n", + "Getting embedding for A woman in a red shirt is speaking at a table in a room where three other people are listening to her.\n", + "Getting embedding for A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.\n", + "Getting embedding for A blue excavator digging a large hold in cement.\n", + "Getting embedding for Two women are talking while children are sitting on their laps.\n", + "Getting embedding for A middle-aged oriental woman in a green headscarf and blue shirt is flashing a giant smile.\n", + "Getting embedding for An adult couple enjoys time in a hot tub.\n", + "Getting embedding for A small girl with a necklace is swimming.\n", + "Getting embedding for A boy looks down and spreads his arms wide\n", + "Getting embedding for The blond woman is searching for medical supplies in a suitcase.\n", + "Getting embedding for A man wearing a striped top and jeans does a skateboard trick on some steps while a man who is hunched over photographs him.\n", + "Getting embedding for Soccer players warm up by kicking the soccer ball around while the crowd waits.\n", + "Getting embedding for A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.\n", + "Getting embedding for A young man in a blue blazer and shorts sits alone in front of table with a chess game set up.\n", + "Getting embedding for A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.\n", + "Getting embedding for An old man wearing khaki pants and a brown shirt standing on the sidewalk in front of a building.\n", + "Getting embedding for A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.\n", + "Getting embedding for People on bicycles waiting at an intersection.\n", + "Getting embedding for A young man wearing a backpack and dark glasses approaches the brick building where there is a bit of graffiti on the wall.\n", + "Getting embedding for A couple strolls arm and arm and hand in hand down a city sidewalk.\n", + "Getting embedding for A white dog running in the backyard.\n", + "Getting embedding for Child in red and blue shirt painting a log.\n", + "Getting embedding for A man wearing a gray sweater walking through a pile of leaves.\n", + "Getting embedding for A man wearing a multi-color coat is playing the guitar on the street.\n", + "Getting embedding for Men are playing soccer, the one in front is about to kick the ball.\n", + "Getting embedding for A man is leading a Clydesdale up a hay road, within a Old Country.\n", + "Getting embedding for A camera crew is filming two women in formal dresses sitting on a blanket in the middle of a park.\n", + "Getting embedding for A man in a blue jacket screaming.\n", + "Getting embedding for In a bowling alley, a man holding a green bowling ball looks ahead at the pins that he must knock down.\n", + "Getting embedding for Young blond woman putting her foot into a water fountain\n", + "Getting embedding for A man wakeboards on choppy water.\n", + "Getting embedding for A man is putting up a poster in front of a shop.\n", + "Getting embedding for Some firefighters check a vehicle.\n", + "Getting embedding for Two dogs biting another dog in a field.\n", + "Getting embedding for A small girl dressed in a yellow dress with flowers on it bends over near a large pile of watermelons.\n", + "Getting embedding for A group of people sitting at some sort of gathering.\n", + "Getting embedding for A man is putting up a poster in front of a shop.\n", + "Getting embedding for Two female medical professionals, one african american& one white, looking over paperwork in a hospital.\n", + "Getting embedding for A picture of a city with a sign welcoming travelers on a busy street.\n", + "Getting embedding for A man with khaki shorts on is holding a little girls hand while she walks in the water of a creek.\n", + "Getting embedding for A man in blue lies on a mostly-barren patch of grass while small groups of people congregate in the distance.\n", + "Getting embedding for A little boy with a blue jacket is making a sour face at the camera.\n", + "Getting embedding for Children smiling and waving at camera\n", + "Getting embedding for A girl wearing a blue shirt, shorts, and sneakers is seated on a stool at a round table, looking at her phone.\n", + "Getting embedding for Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.\n", + "Getting embedding for A person is looking at water jets.\n", + "Getting embedding for Toddler with milk around his mouth.\n", + "Getting embedding for A bearded man in a black t-shirt sits in front of a desk holding a computer.\n", + "Getting embedding for A baby is playing with a strand of beads.\n", + "Getting embedding for Two little kids showing their American pride in their star spangled wagon.\n", + "Getting embedding for People waiting at a light on bikes.\n", + "Getting embedding for White small child wearing a brown and gray striped hoodie plays at park.\n", + "Getting embedding for A smiling lady in a green jacket at a public gathering.\n", + "Getting embedding for A dog is fetching a stick out of very clear water.\n", + "Getting embedding for A man with facial hair and a red and gray shirt tugging on a piece of rope.\n", + "Getting embedding for An elderly couple, both wearing white shirts, dancing and a young male sitting at a table.\n", + "Getting embedding for An older couple posing in front of a fountain for a picture\n", + "Getting embedding for A man, woman, and child enjoying themselves on a beach.\n", + "Getting embedding for A man stopping on the sidewalk with his bike to have a smoke.\n", + "Getting embedding for A man is standing up holding a green bowling ball with his right hand.\n", + "Getting embedding for A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.\n", + "Getting embedding for A man in a Tour De Force shirt is working on a bicycle.\n", + "Getting embedding for A group of children play jump rope in the streets while others watch in the background.\n", + "Getting embedding for A woman and a few children in an alleyway in between a vehicle and a fence.\n", + "Getting embedding for A man resting on a street.\n", + "Getting embedding for A mountain biker jumping a slope outdoors in a forest area.\n", + "Getting embedding for A man in the distance is walking past a brick wall painted with words and graffiti.\n", + "Getting embedding for A skier in electric green on the edge of a ramp made of metal bars.\n", + "Getting embedding for A yellow uniformed skier is performing a trick across a railed object.\n", + "Getting embedding for A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.\n", + "Getting embedding for A man in a gray vehicle feeding sheep.\n", + "Getting embedding for A group of men and women are having a discussion in a restaurant.\n", + "Getting embedding for People waiting at a light on bikes.\n", + "Getting embedding for Man smokes while sitting on a parked scooter.\n", + "Getting embedding for Two ladies are reading through binders.\n", + "Getting embedding for A large golden dog sniffing the butt of a white dog\n", + "Getting embedding for A man is windsurfing.\n", + "Getting embedding for Firefighters are checking a car.\n", + "Getting embedding for A city filled with people in the middle of the daytime.\n", + "Getting embedding for A child.\n", + "Getting embedding for man playing soccer\n", + "Getting embedding for A skier in electric green on the edge of a ramp made of metal bars.\n", + "Getting embedding for A school is hosting an event.\n", + "Getting embedding for A photographer takes a picture of the boy's parents by the fountain.\n", + "Getting embedding for A man is windsurfing.\n", + "Getting embedding for A man is pulling on a rope.\n", + "Getting embedding for A person is looking at water jets.\n", + "Getting embedding for A little boy in a pirate costume is running behind a little girl in a princess costume carrying an orange pumpkin along the sidewalk.\n", + "Getting embedding for People are about to eat.\n", + "Getting embedding for A soccer game.\n", + "Getting embedding for A woman is interacting with a dog.\n", + "Getting embedding for A group of people are sitting around a table under a blue sunshade.\n", + "Getting embedding for A man in a blue shirt sits outside alone with a chessboard laid out in front of him.\n", + "Getting embedding for A woman is talking to children.\n", + "Getting embedding for A guy performing a bicycle jump trick for an audience.\n", + "Getting embedding for A female adult is near some kids.\n", + "Getting embedding for A boy looks down and spreads his arms wide\n", + "Getting embedding for A couple walk through a white brick town.\n", + "Getting embedding for A crowded city during daytime.\n", + "Getting embedding for A group of people gathering on the grass.\n", + "Getting embedding for People are standing on a grassy field\n", + "Getting embedding for A woman in a floral dress talks to children in front of a van.\n", + "Getting embedding for A man photographs a skateboarder doing tricks.\n", + "Getting embedding for A little boy with a blue jacket is making a sour face at the camera.\n", + "Getting embedding for A boy looks down and spreads his arms wide\n", + "Getting embedding for The man is putting up a poster.\n", + "Getting embedding for A family walks along a dirt path.\n", + "Getting embedding for A man is sitting on a motorcycle on the sidewalk.\n", + "Getting embedding for Someone is on top of a cart full of items, while someone else observes.\n", + "Getting embedding for The man rides an animal.\n", + "Getting embedding for A blonde woman looks for things in a suitcase.\n", + "Getting embedding for New sport is being played to show appreciation to the kids who can not walk.\n", + "Getting embedding for A lady with sunglasses on her head and a green sweatshirt is looking off-camera.\n", + "Getting embedding for A few people share a bench.\n", + "Getting embedding for A lady wearing a blue shirt.\n", + "Getting embedding for A group of adults is having a discussion at a table under a tent.\n", + "Getting embedding for The boy mugs for the camera.\n", + "Getting embedding for A guy stands on stage with his guitar.\n", + "Getting embedding for A man waiting with his computer.\n", + "Getting embedding for A few people share a bench.\n", + "Getting embedding for An animal is walking outside.\n", + "Getting embedding for A man in a blue shirt is looking up.\n", + "Getting embedding for A lady with a serious face is standing with two guys in front of steps outside.\n", + "Getting embedding for The old man is standing outside of a building.\n", + "Getting embedding for The blond woman is searching for medical supplies in a suitcase.\n", + "Getting embedding for The diners are at a restaurant.\n", + "Getting embedding for A woman sitting at a table, taking a picture.\n", + "Getting embedding for A dog is catching a stick.\n", + "Getting embedding for People waiting at a light on bikes.\n", + "Getting embedding for A fireman protects an area by setting up a boundary while others watch.\n", + "Getting embedding for Four guys in wheelchairs on a basketball court two are trying to grab a basketball in midair.\n", + "Getting embedding for A man with wild hair rocks a show playing a guitar center stage.\n", + "Getting embedding for People are playing a sport.\n", + "Getting embedding for The shop sign says \"Welcome to Golden\"\n", + "Getting embedding for A man and two women sitting on a bench.\n", + "Getting embedding for A man is sleeping on the grass.\n", + "Getting embedding for A cowboy is riding a bucking bull in a rodeo arena.\n", + "Getting embedding for A man is on a dirt bike.\n", + "Getting embedding for A city filled with people in the middle of the daytime.\n", + "Getting embedding for An elderly woman places carrots into a casserole.\n", + "Getting embedding for A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.\n", + "Getting embedding for Cheerleaders are on the field cheering.\n", + "Getting embedding for A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.\n", + "Getting embedding for People with bikes.\n", + "Getting embedding for The family is outside.\n", + "Getting embedding for A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.\n", + "Getting embedding for Two dogs biting another dog in a field.\n", + "Getting embedding for A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.\n", + "Getting embedding for A boy is holding his arms out.\n", + "Getting embedding for A little boy with a blue jacket is making a sour face at the camera.\n", + "Getting embedding for An older man stands on the sidewalk painting the view.\n", + "Getting embedding for A classroom of students discussing lecture.\n", + "Getting embedding for A man is outside.\n", + "Getting embedding for A child using a woodworking tool\n", + "Getting embedding for A fireman is working hard to keep people safe.\n", + "Getting embedding for There are people at work.\n", + "Getting embedding for A seated woman with short hair and a camera throws a Frisbee to a brown dog.\n", + "Getting embedding for Six soccer players on field with player in red uniform in the air and ball airborne.\n", + "Getting embedding for A woman is interacting with a dog.\n", + "Getting embedding for A lady is on the floor packing a suitcase.\n", + "Getting embedding for A person looks up.\n", + "Getting embedding for A male sitting indoors.\n", + "Getting embedding for A man is wakeboarding.\n", + "Getting embedding for A blue excavator digging a large hold in cement.\n", + "Getting embedding for The boy does a skateboarding trick.\n", + "Getting embedding for Children playing a game.\n", + "Getting embedding for A man is making a loud noise.\n", + "Getting embedding for An older couple posing in front of a fountain for a picture\n", + "Getting embedding for Two kids are running.\n", + "Getting embedding for A man is walking with his horse up a country road.\n", + "Getting embedding for A groups of people acts on stage.\n", + "Getting embedding for People wait on traffic.\n", + "Getting embedding for A man in a blue shirt sits outside alone with a chessboard laid out in front of him.\n", + "Getting embedding for A woman checks her purse while at a outside cafe.\n", + "Getting embedding for A few people share a bench.\n", + "Getting embedding for A cowboy rides a bull at a rodeo.\n", + "Getting embedding for A man dressed in warm clothing sleds behind four dogs in the snow.\n", + "Getting embedding for Gray dog running down pavement toward laundry line in courtyard.\n", + "Getting embedding for A woman is walking across the street eating a banana, while a man is following with his briefcase.\n", + "Getting embedding for A woman in a red shirt is speaking at a table in a room where three other people are listening to her.\n", + "Getting embedding for A white and brown dog is leaping through the air.\n", + "Getting embedding for A man wakeboards on choppy water.\n", + "Getting embedding for A group of adults is having a discussion at a table under a tent.\n", + "Getting embedding for A woman is interacting with a dog.\n", + "Getting embedding for The old man is standing outside of a building.\n", + "Getting embedding for A couple play in the tide with their young son.\n", + "Getting embedding for People are walking outdoors.\n", + "Getting embedding for Three working men smile in front of a truck while holding construction equipment.\n", + "Getting embedding for A decorated man sees a scantily clad female.\n", + "Getting embedding for Children are jumping rope.\n", + "Getting embedding for Two women hug each other.\n", + "Getting embedding for A woman in a floral dress talks to children in front of a van.\n", + "Getting embedding for A woman wearing an apron inspects a large pot on a table filled with cups, bowls, pots and baskets of assorted size.\n", + "Getting embedding for A couple of people working around a pile of rocks.\n", + "Getting embedding for A boy is drinking out of a water fountain shaped like a woman.\n", + "Getting embedding for A man wearing a colorful and striped sweater plays music in the street.\n", + "Getting embedding for A man wearing a tan coat signs papers for another man wearing a blue coat.\n", + "Getting embedding for There are bicyclists stopped at a road.\n", + "Getting embedding for Four guys are playing basketball.\n", + "Getting embedding for A woman is walking across the street eating a banana, while a man is following with his briefcase.\n", + "Getting embedding for A little girl picking up a watermelon from a pile.\n", + "Getting embedding for A man in a blue jacket screaming.\n", + "Getting embedding for A soccer game is in progress.\n", + "Getting embedding for A young man in a blue blazer and shorts sits alone in front of table with a chess game set up.\n", + "Getting embedding for A woman in blue jeans and a dark jacket walks in front of a building.\n", + "Getting embedding for A kite surfer begins to fall in the ocean.\n", + "Getting embedding for Firefighters are checking a car.\n", + "Getting embedding for A man in a blue shirt sits outside alone with a chessboard laid out in front of him.\n", + "Getting embedding for A woman in white.\n", + "Getting embedding for A couple strolls arm and arm and hand in hand down a city sidewalk.\n", + "Getting embedding for A man is holding a girls hand and walking through a creek.\n", + "Getting embedding for A classroom of students discussing lecture.\n", + "Getting embedding for Several men sit outside on brick ledges built around tall trees.\n", + "Getting embedding for A young toddler wearing pink sandals is walking on hopscotch numbers.\n", + "Getting embedding for There are children present\n", + "Getting embedding for A large golden dog sniffing the butt of a white dog\n", + "Getting embedding for A group of people gathers on the grass in a backyard with tents, tables, and chairs set up.\n", + "Getting embedding for The man is drinking water.\n", + "Getting embedding for A decorated man sees a scantily clad female.\n", + "Getting embedding for A man windsurfs in a wetsuit.\n", + "Getting embedding for A female adult is near some kids.\n", + "Getting embedding for The bikers are in the town.\n", + "Getting embedding for A baby walks on the ground.\n", + "Getting embedding for A man is working on a bike.\n", + "Getting embedding for A view of a marketplace full of people in an asian country.\n", + "Getting embedding for A man is bowling.\n", + "Getting embedding for The red and black team are playing a game.\n", + "Getting embedding for Children smiling and waving at camera\n", + "Getting embedding for A group of people point forwards while doing something.\n", + "Getting embedding for A woman in blue jeans and a dark jacket walks in front of a building.\n", + "Getting embedding for A smiling lady in a green jacket at a public gathering.\n", + "Getting embedding for A car is flooding.\n", + "Getting embedding for A man wearing a gray sweater walking through a pile of leaves.\n", + "Getting embedding for A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.\n", + "Getting embedding for A man is sitting on a motorcycle.\n", + "Getting embedding for A man wants a woman to look at his clipboard\n", + "Getting embedding for A young woman frolicking on the lawn in front of the us capitol building.\n", + "Getting embedding for Two dogs playfully bite a third dog, which has its tongue sticking out.\n", + "Getting embedding for A man doing a wheelie\n", + "Getting embedding for An animal is walking outside.\n", + "Getting embedding for Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.\n", + "Getting embedding for Small laughing child with blond-hair sitting at a table holding a green sippy cup.\n", + "Getting embedding for A boy is holding his arms out.\n", + "Getting embedding for A couple are having a conversation\n", + "Getting embedding for Pirate on the sidewalk\n", + "Getting embedding for A man pulls on a rope.\n", + "Getting embedding for Black dog jumping into the air to catch a toy in the snow.\n", + "Getting embedding for A person is dipping her foot into water.\n", + "Getting embedding for A dog zips along the beach.\n", + "Getting embedding for A person on a bike is near a street.\n", + "Getting embedding for Four guys in wheelchairs on a basketball court two are trying to grab a basketball in midair.\n", + "Getting embedding for The young man has glasses on his face.\n", + "Getting embedding for A man is sitting on a motorcycle on the sidewalk.\n", + "Getting embedding for A soccer game.\n", + "Getting embedding for A small girl with a necklace is swimming.\n", + "Getting embedding for Four guys are playing basketball.\n", + "Getting embedding for A man is pulling on a rope.\n", + "Getting embedding for A boy in multi-colored shirt hold his arms out from his sides\n", + "Getting embedding for A woman walking outside.\n", + "Getting embedding for A group of people are doing yoga.\n", + "Getting embedding for A woman is talking to children.\n", + "Getting embedding for A person looks in her purse at a restaurant.\n", + "Getting embedding for People walking around in a big city.\n", + "Getting embedding for People are playing a sport in honor of crippled people.\n", + "Getting embedding for A pirate is chasing a princess down the sidewalk.\n", + "Getting embedding for A foreign family walks by a dirt trail along a body of water.\n", + "Getting embedding for A crowded city during daytime.\n", + "Getting embedding for A woman in colorful garb with her back to the camera and cloth on her hear.\n", + "Getting embedding for A little girl follows two guys with umbrellas down a path.\n", + "Getting embedding for Asian school children sitting on each others shoulders.\n", + "Getting embedding for A woman in capri jeans crouches on the edge of a fountain with her left foot kicked out to touch the falling water.\n", + "Getting embedding for The toddler has milk around the corners of his mouth.\n", + "Getting embedding for Three men are grouped around the back of a car.\n", + "Getting embedding for A small boy has gotten into the cabinet and gotten flour and crisco all over himself.\n", + "Getting embedding for More than one person on a bicycle is obeying traffic laws.\n", + "Getting embedding for Lady wearing a yellow top is sitting on a chair\n", + "Getting embedding for There are some guys in this picture\n", + "Getting embedding for Firefighters are checking a car.\n", + "Getting embedding for A boy is drinking out of a water fountain shaped like a woman.\n", + "Getting embedding for A man in a green shirt holds out a clipboard for a woman in pink's attention.\n", + "Getting embedding for Two men are barefoot on the lawn.\n", + "Getting embedding for A woman is looking at a man's possessions\n", + "Getting embedding for Two ladies are reading through binders.\n", + "Getting embedding for A couple play in the tide with their young son.\n", + "Getting embedding for A little girl picking up a watermelon from a pile.\n", + "Getting embedding for People waiting to get on a train or just getting off.\n", + "Getting embedding for A man is taking the picture of a skateboarder who is performing a trick.\n", + "Getting embedding for A family with a baby, the father is wearing a save the children sign.\n", + "Getting embedding for There are scultupres nearby.\n", + "Getting embedding for A soccer player jumping up while a game is in progess.\n", + "Getting embedding for A man in the distance is walking past a brick wall painted with words and graffiti.\n", + "Getting embedding for A doctor in blue scrubs is performing an operation assisted by two men and a woman.\n", + "Getting embedding for A small girl dressed in a yellow dress with flowers on it bends over near a large pile of watermelons.\n", + "Getting embedding for A doctor in blue scrubs is performing an operation assisted by two men and a woman.\n", + "Getting embedding for A lady in a black and white striped shirt and holding a bouquet of flowers, looks seriously at two gentlemen talking on the steps.\n", + "Getting embedding for People are about to eat.\n", + "Getting embedding for A small girl with a necklace is in the water\n", + "Getting embedding for A woman playing the violin with sunglasses on her head.\n", + "Getting embedding for A group of men and women are having a discussion in a restaurant.\n", + "Getting embedding for A man wearing a multi-color coat is playing the guitar on the street.\n", + "Getting embedding for The white and brown dog is in the air.\n", + "Getting embedding for A lady wearing a blue print shirt and green head cover smiles for the camera.\n", + "Getting embedding for A group of people are doing yoga.\n", + "Getting embedding for A group of people stand on a grassy field.\n", + "Getting embedding for A couple play in the tide with their young son.\n", + "Getting embedding for A boy in a shirt plays outside.\n", + "Getting embedding for Man on the sidewalk sitting on a motorcycle.\n", + "Getting embedding for Somebody is engaging in winter sports.\n", + "Getting embedding for A windsurfer is balancing on choppy water.\n", + "Getting embedding for A man is outside.\n", + "Getting embedding for A man wearing a blue shirt screaming or yelling with his arms raised up in the air.\n", + "Getting embedding for A lady with a serious face is standing with two guys in front of steps outside.\n", + "Getting embedding for A foreign family walks by a dirt trail along a body of water.\n", + "Getting embedding for People are waiting to eat.\n", + "Getting embedding for A woman in capri jeans crouches on the edge of a fountain with her left foot kicked out to touch the falling water.\n", + "Getting embedding for A couple walk through a white brick town.\n", + "Getting embedding for Overlooking a street with a sign above shops that states Welcome To Golden.\n", + "Getting embedding for A cart is full of items.\n", + "Getting embedding for A blond man drinking water from a fountain.\n", + "Getting embedding for A good-looking firefighter sets up \"Do Not Cross\" tape in the city.\n", + "Getting embedding for The person is interested in a water jet.\n", + "Getting embedding for A man in a blue shirt sits outside alone with a chessboard laid out in front of him.\n", + "Getting embedding for She is packing.\n", + "Getting embedding for A lady wearing a blue print shirt and green head cover smiles for the camera.\n", + "Getting embedding for A man doing a wheelie\n", + "Getting embedding for A man is on a dirt bike.\n", + "Getting embedding for The boy is young.\n", + "Getting embedding for A man wearing a multi-color coat is playing the guitar on the street.\n", + "Getting embedding for A female adult is near some kids.\n", + "Getting embedding for A man is leading a Clydesdale up a hay road, within a Old Country.\n", + "Getting embedding for A couple of people working around a pile of rocks.\n", + "Getting embedding for A man and two women sitting on a bench.\n", + "Getting embedding for A man is wearing a cap\n", + "Getting embedding for Girls and boys are having fun outdoors\n", + "Getting embedding for A group of children play jump rope in the streets while others watch in the background.\n", + "Getting embedding for The people stretched on yoga mats.\n", + "Getting embedding for A woman is at a machine.\n", + "Getting embedding for A child.\n", + "Getting embedding for Children's soccer game being played while the sun sets in the background.\n", + "Getting embedding for People take photos outdoors while a man performs exciting skateboarding tricks.\n", + "Getting embedding for A dog with an object in it's mouth is in the water.\n", + "Getting embedding for A little girl follows two guys with umbrellas down a path.\n", + "Getting embedding for A woman is walking across the street eating a banana, while a man is following with his briefcase.\n", + "Getting embedding for A couple strolls arm and arm and hand in hand down a city sidewalk.\n", + "Getting embedding for A white horse is pulling a cart while a man stands and watches.\n", + "Getting embedding for A Land Rover makes its way through a deep pond.\n", + "Getting embedding for A man wearing a blue shirt screaming or yelling with his arms raised up in the air.\n", + "Getting embedding for A man is standing in front of a shop.\n", + "Getting embedding for A motorcycle racer is in action at the track.\n", + "Getting embedding for A lady is on the floor packing a suitcase.\n", + "Getting embedding for They are avoiding trees.\n", + "Getting embedding for An old man is enjoying a beverage at a cafe.\n", + "Getting embedding for A family of three is at the beach.\n", + "Getting embedding for A woman checks her purse while at a outside cafe.\n", + "Getting embedding for A boy is holding his arms out.\n", + "Getting embedding for Cheerleaders cheer on a field for an activity.\n", + "Getting embedding for A guy is driving a dirt bike.\n", + "Getting embedding for Bicyclists waiting their turn to cross.\n", + "Getting embedding for A person throwing something for her dog.\n", + "Getting embedding for A male is getting a drink of water.\n", + "Getting embedding for There are women showing affection.\n", + "Getting embedding for A man sits in front of a set up chess game.\n", + "Getting embedding for A doctor in blue scrubs is performing an operation assisted by two men and a woman.\n", + "Getting embedding for The people are outdoors.\n", + "Getting embedding for A group of people stand on a grassy field.\n", + "Getting embedding for A man wakeboards on choppy water.\n", + "Getting embedding for A man with khaki shorts on is holding a little girls hand while she walks in the water of a creek.\n", + "Getting embedding for A boy is jumping on skateboard in the middle of a red bridge.\n", + "Getting embedding for A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.\n", + "Getting embedding for A man is playing a game\n", + "Getting embedding for A little girl follows two guys with umbrellas down a path.\n", + "Getting embedding for A picture of a city is on a street\n", + "Getting embedding for A woman preparing to glaze\n", + "Getting embedding for A man dressed in blue shirt and shorts sits at a table while playing black in chess.\n", + "Getting embedding for A man pulls on a rope.\n", + "Getting embedding for A lady with sunglasses on her head and a green sweatshirt is looking off-camera.\n", + "Getting embedding for A man wearing a gray cap is looking down.\n", + "Getting embedding for A good-looking firefighter sets up \"Do Not Cross\" tape in the city.\n", + "Getting embedding for A man is pulling on a rope.\n", + "Getting embedding for A little boy with a blue jacket is making a sour face at the camera.\n", + "Getting embedding for A young man wearing a backpack and dark glasses approaches the brick building where there is a bit of graffiti on the wall.\n", + "Getting embedding for People sitting down to eat.\n", + "Getting embedding for A saddle bronc rider gets lifted out of the saddle, but keeps his grip during his ride.\n", + "Getting embedding for A baby is playing with a strand of beads.\n", + "Getting embedding for A lady in a black and white striped shirt and holding a bouquet of flowers, looks seriously at two gentlemen talking on the steps.\n", + "Getting embedding for Biker riding dirt bike on dirt track\n", + "Getting embedding for A boy is drinking out of a water fountain shaped like a woman.\n", + "Getting embedding for Four guys in wheelchairs on a basketball court two are trying to grab a basketball in midair.\n", + "Getting embedding for A man shows a woman something.\n", + "Getting embedding for A man with khaki shorts on is holding a little girls hand while she walks in the water of a creek.\n", + "Getting embedding for Three working men smile in front of a truck while holding construction equipment.\n", + "Getting embedding for A person is dipping her foot into water.\n", + "Getting embedding for People are standing on a grassy field\n", + "Getting embedding for A decorated man sees a scantily clad female.\n", + "Getting embedding for A woman in a floral dress talks to children in front of a van.\n", + "Getting embedding for A woman talks to two other women and a man with notepads in an office building with large windows.\n", + "Getting embedding for A woman in blue jeans and a dark jacket walks in front of a building.\n", + "Getting embedding for People are playing a sport.\n", + "Getting embedding for A log is being painted by a child.\n", + "Getting embedding for A blond man is drinking from a public fountain.\n", + "Getting embedding for A boy is wearing a shirt\n", + "Getting embedding for A young lady playing in front of the capitol building.\n", + "Getting embedding for A male is getting a drink of water.\n", + "Getting embedding for A man photographs a skateboarder doing tricks.\n", + "Getting embedding for A dog zips along the beach.\n", + "Getting embedding for A boy in a blue, yellow, and orange shirt holding his arms out from his sides.\n", + "Getting embedding for A man is running behind a dogsled being pulled by four dogs.\n", + "Getting embedding for People on bicycles waiting at an intersection.\n", + "Getting embedding for A white dog running in the backyard.\n", + "Getting embedding for An old man is standing by a building in downtown.\n", + "Getting embedding for Three wheelchair basketball players playing basketball in field.\n", + "Getting embedding for A bearded man is pulling on a rope.\n", + "Getting embedding for A person in a red dress is running behind a black animal.\n", + "Getting embedding for A man is hanging up a picture of a child.\n", + "Getting embedding for The city has a lot of people in it.\n", + "Getting embedding for People are riding their bicycles.\n", + "Getting embedding for People are looking in a car.\n", + "Getting embedding for A woman and an animal are interacting outdoors.\n", + "Getting embedding for The cart is filled to the top.\n", + "Getting embedding for Women are waiting by a tram.\n", + "Getting embedding for The two people are dancing.\n", + "Getting embedding for three dogs are outside\n", + "Getting embedding for 2 women are carrying little girls.\n", + "Getting embedding for Somebody is hanging up pictures while people watch.\n", + "Getting embedding for A man is being bucked on a horse.\n", + "Getting embedding for A man and a woman are holding hands.\n", + "Getting embedding for A young woman packs belongings into a black luggage carrier.\n", + "Getting embedding for A man watches another man.\n", + "Getting embedding for A sign reads \"Welcome to Golden\"\n", + "Getting embedding for 3 people are walking along a path.\n", + "Getting embedding for The woman is eating a banana.\n", + "Getting embedding for A couple are playing with a young child outside.\n", + "Getting embedding for A child in a multicolored shirt is painting a log\n", + "Getting embedding for A man in a gold skirt sitting at his computer watching the computer screen.\n", + "Getting embedding for Soccer teams are competing outdoors.\n", + "Getting embedding for Three kids are sitting on a rock.\n", + "Getting embedding for A man stands.\n", + "Getting embedding for The mothers are having conversations.\n", + "Getting embedding for the workers are waiting for next work\n", + "Getting embedding for The three young childeren were hold an apple with a bite on it\n", + "Getting embedding for A group watches a practice.\n", + "Getting embedding for A family by a van.\n", + "Getting embedding for The two men sign something.\n", + "Getting embedding for A woman gazes skyward\n", + "Getting embedding for A woman is there.\n", + "Getting embedding for The dogs were outdoors running along the shore\n", + "Getting embedding for A competition is happening.\n", + "Getting embedding for There's a biker\n", + "Getting embedding for A football/soccer club during warm ups.\n", + "Getting embedding for The man is running.\n", + "Getting embedding for There are three girls\n", + "Getting embedding for A woman laughs while another paddles a boat.\n", + "Getting embedding for A soccer game is happening.\n", + "Getting embedding for people dance together\n", + "Getting embedding for A man is sitting down.\n", + "Getting embedding for Choir singing in mass.\n", + "Getting embedding for A Ford is being driven on a track.\n", + "Getting embedding for Bikers stop for gas\n", + "Getting embedding for A skier is near the rail.\n", + "Getting embedding for A firefighter sets up a do not cross\n", + "Getting embedding for Three children pose for a picture.\n", + "Getting embedding for A dog swims in a body of water.\n", + "Getting embedding for There is a farmer with a horse wagon\n", + "Getting embedding for Men are indoors.\n", + "Getting embedding for The women work in the health field.\n", + "Getting embedding for People are paying attention to the person hanging pictures\n", + "Getting embedding for The dogs are playing with a ball.\n", + "Getting embedding for Two people in wheelchairs are reaching in the air for a basketball.\n", + "Getting embedding for Men are near the water.\n", + "Getting embedding for The people are all jumping into a body of water.\n", + "Getting embedding for There are people in ChinaTown.\n", + "Getting embedding for A lady at a table takes pictures.\n", + "Getting embedding for The skier is wearing a jumpsuit.\n", + "Getting embedding for A woman is shown a tablet by a man standing on the street.\n", + "Getting embedding for A child has milk on their face.\n", + "Getting embedding for A guy playing a board game by himself.\n", + "Getting embedding for A group of young men are splashing a lot of water.\n", + "Getting embedding for A girl is running on the trail.\n", + "Getting embedding for Uniformed men work.\n", + "Getting embedding for A child is pulling a toy wagon.\n", + "Getting embedding for There are lots of cars on the street.\n", + "Getting embedding for A model is doing a shoot.\n", + "Getting embedding for Boy in costume followed by a girl in costume.\n", + "Getting embedding for People wait for a race to begin.\n", + "Getting embedding for a bunch of people are playing soccer\n", + "Getting embedding for Four people stand near a wall speaking to each other.\n", + "Getting embedding for Men are hanging something on the wall.\n", + "Getting embedding for People lounge about a pool.\n", + "Getting embedding for A boy is in a boat.\n", + "Getting embedding for A woman has children with her at the check out counter.\n", + "Getting embedding for A group of people are possing for an add.\n", + "Getting embedding for a sports game is being played\n", + "Getting embedding for A groom and bride are standing outside.\n", + "Getting embedding for A motorcyclist doing a wheelie\n", + "Getting embedding for A man is standing on top of a cart.\n", + "Getting embedding for A girl is holding a glass.\n", + "Getting embedding for A group of men are hanging a picture on a wall.\n", + "Getting embedding for A woman standing behind a grill outside with a blue basket of food in her hands.\n", + "Getting embedding for Some humans in a truck\n", + "Getting embedding for A pregnant lady shares the sounds of her pregnancy.\n", + "Getting embedding for A man stands in a bowling alley lane.\n", + "Getting embedding for Women are with their kids\n", + "Getting embedding for A girl is enjoying herself.\n", + "Getting embedding for A climber is ascending\n", + "Getting embedding for A man is hanging a picture of a child.\n", + "Getting embedding for She plays in a band.\n", + "Getting embedding for Near a hanging plant, a metal bowl was used to cook by two mens\n", + "Getting embedding for People are looking at sculptures at a museum.\n", + "Getting embedding for A dog runs across the beach.\n", + "Getting embedding for Three men are smiling\n", + "Getting embedding for a dog drops a red disc\n", + "Getting embedding for A human wearing a dress.\n", + "Getting embedding for Small boy in pool holds toy.\n", + "Getting embedding for The people are near the table.\n", + "Getting embedding for A person is outdoors, on a horse.\n", + "Getting embedding for People are on a bench\n", + "Getting embedding for Two men are around a bowl.\n", + "Getting embedding for Three boys are in a body of water.\n", + "Getting embedding for The school children head home.\n", + "Getting embedding for people are dancing.\n", + "Getting embedding for A group sits outside while talking.\n", + "Getting embedding for He is wearing a multicolored shirt\n", + "Getting embedding for People are on their bikes.\n", + "Getting embedding for Two sumo wrestlers compete in a match.\n", + "Getting embedding for A young lady is looking at a picture.\n", + "Getting embedding for The woman is wearing white.\n", + "Getting embedding for Two people are next to each other.\n", + "Getting embedding for A bike it outside\n", + "Getting embedding for The adults are both male and female.\n", + "Getting embedding for A man is drinking juice.\n", + "Getting embedding for People are skydiving.\n", + "Getting embedding for A dog is outside playing in the water.\n", + "Getting embedding for There is a city.\n", + "Getting embedding for People are waiting for a race.\n", + "Getting embedding for A woman eats a banana and walks across a street, and there is a man trailing behind her.\n", + "Getting embedding for The woman is outdoors with a machine.\n", + "Getting embedding for Two men are in the kitchen.\n", + "Getting embedding for There is snow on the ground.\n", + "Getting embedding for The child is outdoors in his bright colored shirt.\n", + "Getting embedding for The people are on bikes.\n", + "Getting embedding for The people are holding onto the rail.\n", + "Getting embedding for A man is holding an accordian.\n", + "Getting embedding for A child plays on a playground.\n", + "Getting embedding for A boy painting a log.\n", + "Getting embedding for An old couple dance in by a juke box while a dude wearing shorts sleeps near a table\n", + "Getting embedding for The women and the man are on a bench.\n", + "Getting embedding for A man is wearing many silver necklaces.\n", + "Getting embedding for Someone is browsing jewelry.\n", + "Getting embedding for A town has witnessed the arrival of three bikers.\n", + "Getting embedding for The woman is wearing green.\n", + "Getting embedding for A baseball player is swinging to hit the ball.\n", + "Getting embedding for There are two men outside in this picture\n", + "Getting embedding for A man sits at a desk.\n", + "Getting embedding for Firemen walking outside\n", + "Getting embedding for A violinist among other string musicians\n", + "Getting embedding for There are soccer players on the field.\n", + "Getting embedding for A man is outside, near the street.\n", + "Getting embedding for Men watching motorcyclist.\n", + "Getting embedding for A couple is holding a child\n", + "Getting embedding for There are people on a sidewalk.\n", + "Getting embedding for There is a woman in a room.\n", + "Getting embedding for Three men are outside.\n", + "Getting embedding for The man is being stared at.\n", + "Getting embedding for A little boy is underwater.\n", + "Getting embedding for The bicycles are on a road.\n", + "Getting embedding for A man is playing the guitar.\n", + "Getting embedding for Two people walk away from a restaurant across a street.\n", + "Getting embedding for A man being photographed while he does a trick on his skateboard down the stairs.\n", + "Getting embedding for There are people in an urban area.\n", + "Getting embedding for A woman is outside.\n", + "Getting embedding for Man standing with three men in army uniform\n", + "Getting embedding for Two people are walking down a path.\n", + "Getting embedding for A woman is inside.\n", + "Getting embedding for one person sits while three stand near a body of water.\n", + "Getting embedding for A woman with children.\n", + "Getting embedding for A woman talks to two other women.\n", + "Getting embedding for A man and a woman are outside.\n", + "Getting embedding for An couple is outside.\n", + "Getting embedding for A boy walking away.\n", + "Getting embedding for There are people just getting on a train\n", + "Getting embedding for The man and woman are outdoors.\n", + "Getting embedding for A crowded street in Asia.\n", + "Getting embedding for A worker is doing something to a boat.\n", + "Getting embedding for there was a speed breaker on the road by which people are taking care\n", + "Getting embedding for The man walked alongside the crew.\n", + "Getting embedding for A woman is blonde\n", + "Getting embedding for A couple is talking.\n", + "Getting embedding for A crowd gesticulates.\n", + "Getting embedding for The chorus is singing.\n", + "Getting embedding for There is a little boy in brown pants.\n", + "Getting embedding for They are walking with a sign.\n", + "Getting embedding for The person skiis\n", + "Getting embedding for A man is wearing a shirt.\n", + "Getting embedding for someone in his twenties kicks at the ground\n", + "Getting embedding for Someone is making music.\n", + "Getting embedding for The man is pushing a stroller.\n", + "Getting embedding for A woman throws something for a dog.\n", + "Getting embedding for There is an individual waiting indoors.\n", + "Getting embedding for The person is surfing.\n", + "Getting embedding for A child swimming.\n", + "Getting embedding for An oddly dressed man walking.\n", + "Getting embedding for some car passing outside\n", + "Getting embedding for A child is dancing.\n", + "Getting embedding for The woman is wearing a coat.\n", + "Getting embedding for A man is outside.\n", + "Getting embedding for The man knows how to play guitar.\n", + "Getting embedding for A woman is near a fountain.\n", + "Getting embedding for A young lady is looking at her camera.\n", + "Getting embedding for A person eating.\n", + "Getting embedding for the dog is in the water\n", + "Getting embedding for A boy in a tri-colored shirt has his arms out to the side.\n", + "Getting embedding for A person is performing.\n", + "Getting embedding for the kid has milk on his face\n", + "Getting embedding for A woman with a green sweater has a happy expression.\n", + "Getting embedding for An animal is jumping in a place that is not hot.\n", + "Getting embedding for A person is cooking.\n", + "Getting embedding for The woman has one foot in the air.\n", + "Getting embedding for The man is cooking\n", + "Getting embedding for A woman is dressed stylishly in native garb.\n", + "Getting embedding for Two people are having a conversation.\n", + "Getting embedding for there are three dogs\n", + "Getting embedding for a man and woman are getting intimate\n", + "Getting embedding for A dog is playing in the grass.\n", + "Getting embedding for A person is painting.\n", + "Getting embedding for Two girls are playing outside.\n", + "Getting embedding for couple walking\n", + "Getting embedding for Some people are cheering on a field.\n", + "Getting embedding for The young violinist is a woman.\n", + "Getting embedding for A man is playing an instrument.\n", + "Getting embedding for A group of tourist waiting for a train at a train station.\n", + "Getting embedding for The two girls are outside.\n", + "Getting embedding for Thre are girls.\n", + "Getting embedding for A dog is swimming.\n", + "Getting embedding for A man is showing a woman something\n", + "Getting embedding for A girl is dancing in a brown shirt and blue jean skirt on a wooden floor\n", + "Getting embedding for A person holding a green bowling ball stands by the ball return machine in a bowling alley.\n", + "Getting embedding for A team is trying to tag a runner out.\n", + "Getting embedding for A boy sits at peoples feet.\n", + "Getting embedding for A couple of people are loading brush onto a trailer that is attached to a truck.\n", + "Getting embedding for the woman is outside\n", + "Getting embedding for The three men are outside.\n", + "Getting embedding for A man wearing weird clothes is walking through a park.\n", + "Getting embedding for There are a group of people are standing outside.\n", + "Getting embedding for A man is painting a landscape of an outdoors area.\n", + "Getting embedding for A skater is in the pool.\n", + "Getting embedding for A dog swims towards the camera.\n", + "Getting embedding for a player has a penalty kick\n", + "Getting embedding for There are people sitting down.\n", + "Getting embedding for The men are drinking.\n", + "Getting embedding for Someone is on a phone.\n", + "Getting embedding for There are people outdoors.\n", + "Getting embedding for A mother is with her two children at walmart\n", + "Getting embedding for The women are exercising.\n", + "Getting embedding for There are people on bicycles.\n", + "Getting embedding for The man seems happy\n", + "Getting embedding for A person rides a bike outdoors.\n", + "Getting embedding for A dog on the beach.\n", + "Getting embedding for A man and a woman are standing.\n", + "Getting embedding for A young man is sitting.\n", + "Getting embedding for Cheerleaders cheering.\n", + "Getting embedding for Two adults walk across the street.\n", + "Getting embedding for People are near snow.\n", + "Getting embedding for Two people standing standing near a large statue, with other states nearby.\n", + "Getting embedding for People have bikes\n", + "Getting embedding for A woman wearing a blue shirt and green hat looks at the camera\n", + "Getting embedding for A man walks near a store\n", + "Getting embedding for The man is holding a balloon.\n", + "Getting embedding for A person is near a watermelon.\n", + "Getting embedding for A person is sitting down.\n", + "Getting embedding for City people in street\n", + "Getting embedding for A man, wearing a revolutionary apparel is making noise with a bell.\n", + "Getting embedding for Someone is toting packages in an urban setting.\n", + "Getting embedding for The water was choppy as the man parasailed.\n", + "Getting embedding for There is a crowded street.\n", + "Getting embedding for There is a family taking a walk outside.\n", + "Getting embedding for Two Girls are doing exercise.\n", + "Getting embedding for A dog is outside\n", + "Getting embedding for A woman is filling a suitcase.\n", + "Getting embedding for A woman is in Walmart\n", + "Getting embedding for The toddler is getting a checkup.\n", + "Getting embedding for The couple danced.\n", + "Getting embedding for there is a group of people waiting outside\n", + "Getting embedding for A vendor trying to attract costumers.\n", + "Getting embedding for A man is being moved.\n", + "Getting embedding for A man and woman walk on a street.\n", + "Getting embedding for A dog is in the water.\n", + "Getting embedding for There's a group of men hanging up a picture.\n", + "Getting embedding for Man riding bike\n", + "Getting embedding for Two people are seated together.\n", + "Getting embedding for A dog is running outside.\n", + "Getting embedding for a woman in an office building talks to two other women and a man with notepads\n", + "Getting embedding for Two boys are skateboarding outside.\n", + "Getting embedding for There are two people in this picture\n", + "Getting embedding for Bikers stop and wait for traffic at the intersection.\n", + "Getting embedding for A human is riding a vehicle.\n", + "Getting embedding for The cars are outside.\n", + "Getting embedding for there is a bmx biker who is perfect in ravine jumping\n", + "Getting embedding for A couple carrying a child are walking along water.\n", + "Getting embedding for J.P. Morgan Chase held a track event.\n", + "Getting embedding for a man is looking at his webcam\n", + "Getting embedding for Two girls lay next to wooden blocks.\n", + "Getting embedding for boy walks accross patio\n", + "Getting embedding for A man is wearing a bright green shirt\n", + "Getting embedding for A dog carries a stick in his mouth.\n", + "Getting embedding for A barber is at work.\n", + "Getting embedding for girl throws stones\n", + "Getting embedding for The woman is outdoors.\n", + "Getting embedding for The child had milk all over his face.\n", + "Getting embedding for A human standing.\n", + "Getting embedding for The men are working.\n", + "Getting embedding for Two guys cook using some rice milk.\n", + "Getting embedding for young people are gathered around a table\n", + "Getting embedding for Two people dancing outdoors.\n", + "Getting embedding for A dog is nearby a person\n", + "Getting embedding for There are at least four people.\n", + "Getting embedding for A man hangs a poster in front of a shop.\n", + "Getting embedding for People are playing soccer.\n", + "Getting embedding for A building is being painted.\n", + "Getting embedding for group of people running\n", + "Getting embedding for The Asian city is full of sights.\n", + "Getting embedding for Pitcher is winding up a throw\n", + "Getting embedding for there are some groups one of them of young females are in dresses strolling for a ramp walk\n", + "Getting embedding for A woman talks to others indoors.\n", + "Getting embedding for There is a lot of fruit.\n", + "Getting embedding for The people are walking outdoors.\n", + "Getting embedding for Humans playing jump rope\n", + "Getting embedding for An artist is sculpting with clay.\n", + "Getting embedding for A group of people are playing a game of soccer.\n", + "Getting embedding for People standing near sculptures\n", + "Getting embedding for A biker is doing jumps by trees.\n", + "Getting embedding for A young man has his head on the table.\n", + "Getting embedding for The people are listening to a speaker.\n", + "Getting embedding for A lady is close to the floor.\n", + "Getting embedding for People are holding hands and walking.\n", + "Getting embedding for Three puppies are playing outside.\n", + "Getting embedding for A woman is lying down.\n", + "Getting embedding for A woman is wearing a red jacket\n", + "Getting embedding for the man is dancing\n", + "Getting embedding for A man stares at a passing couple.\n", + "Getting embedding for Two old men in winter coats talk outside.\n", + "Getting embedding for A couple of people are holding hands while walking.\n", + "Getting embedding for A man is decorating a shop.\n", + "Getting embedding for A man is advertising for a restaurant.\n", + "Getting embedding for Woman wearing a shirt sewing.\n", + "Getting embedding for Busy ChinaTown street corner where people are walking past an open front store.\n", + "Getting embedding for A man walking proudly down the street.\n", + "Getting embedding for A town has witnessed the arrival of three bikers.\n", + "Getting embedding for a young man wearing a backpack and sunglasses is walking towards a shopping area.\n", + "Getting embedding for A man sitting in a barber shop.\n", + "Getting embedding for A man, wearing revolutionary period clothes, is ringing a bell.\n", + "Getting embedding for Humans playing jump rope\n", + "Getting embedding for A woman talks to others indoors.\n", + "Getting embedding for three bikers stop in town.\n", + "Getting embedding for Three boys are in a body of water.\n", + "Getting embedding for Woman with green sweater and sunglasses smiling\n", + "Getting embedding for A man in blue shorts and without a shirt is jogging down the road while listening to his iPod.\n", + "Getting embedding for The people are holding onto the rail.\n", + "Getting embedding for Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.\n", + "Getting embedding for The city has a lot of people in it.\n", + "Getting embedding for there are some groups one of them of young females are in dresses strolling for a ramp walk\n", + "Getting embedding for The people are all jumping into a body of water.\n", + "Getting embedding for People sit and relax next to a pool in a plaza.\n", + "Getting embedding for A man wearing blue jeans and red bowling shoes stands in a bowling alley lane with a green ball in his hand.\n", + "Getting embedding for A boy sits at peoples feet.\n", + "Getting embedding for a man is looking at his webcam\n", + "Getting embedding for A man sits at a desk.\n", + "Getting embedding for there is a group of people waiting outside\n", + "Getting embedding for People in a meeting setting paying attention to a speaker in an orange shirt.\n", + "Getting embedding for one person sits while three stand near a body of water.\n", + "Getting embedding for three bikers stop in town.\n", + "Getting embedding for Two men in wheelchairs are reaching in the air for a basketball.\n", + "Getting embedding for Tourists waiting at a train stop.\n", + "Getting embedding for there is a bmx biker who is perfect in ravine jumping\n", + "Getting embedding for Group of young women in dresses strolling on the sidewalk.\n", + "Getting embedding for Cheerleaders are on the field cheering.\n", + "Getting embedding for People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.\n", + "Getting embedding for One biker is running with their bike while another is riding around them.\n", + "Getting embedding for two female medical personnel read their charts.\n", + "Getting embedding for Three men are smiling and posing behind a truck loaded with various construction supplies.\n", + "Getting embedding for Two people are next to each other.\n", + "Getting embedding for The woman is wearing white.\n", + "Getting embedding for Stacks of neatly folded clothing cover most of this floor while a woman with a beige shirt and jeans busily fills a suitcase.\n", + "Getting embedding for A young woman packs belongings into a black luggage carrier.\n", + "Getting embedding for BMX biker jumps over a ravine.\n", + "Getting embedding for Two old men in winter coats talk outside.\n", + "Getting embedding for There is a little boy in brown pants.\n", + "Getting embedding for Some humans in a truck\n", + "Getting embedding for two small girls walk along the leaves.\n", + "Getting embedding for A young woman is playing the violin.\n", + "Getting embedding for The man is cooking\n", + "Getting embedding for Two men in wheelchairs are reaching in the air for a basketball.\n", + "Getting embedding for three dogs are outside\n", + "Getting embedding for A man sits at a desk.\n", + "Getting embedding for Two men are on scaffolding as they paint above a storefront while a man on the sidewalk stands next to them talking on the phone.\n", + "Getting embedding for Two women, each embracing a little girl, catch up at a small family gathering.\n", + "Getting embedding for There is an individual waiting indoors.\n", + "Getting embedding for Two young men drink beer, leaning on a graffitied wall.\n", + "Getting embedding for People sit and relax next to a pool in a plaza.\n", + "Getting embedding for Uniformed men work.\n", + "Getting embedding for A man with a bright green shirt is talking to a woman in a pink shirt.\n", + "Getting embedding for Two men with heads down signing a paper.\n", + "Getting embedding for People in a meeting setting paying attention to a speaker in an orange shirt.\n", + "Getting embedding for a motorcyclist does a nose wheelie.\n", + "Getting embedding for There is an individual waiting indoors.\n", + "Getting embedding for Two guys cook using some rice milk.\n", + "Getting embedding for A lady at a table takes pictures.\n", + "Getting embedding for a woman in a red jacket watches as a black and brown dog runs away from her in woodland clearing.\n", + "Getting embedding for There is an individual waiting indoors.\n", + "Getting embedding for a motorcyclist does a nose wheelie.\n", + "Getting embedding for Three boys are in a body of water.\n", + "Getting embedding for A spotted black and white dog splashes in the water.\n", + "Getting embedding for Skydivers in formation.\n", + "Getting embedding for A woman is making a clay pot.\n", + "Getting embedding for People are on a bench\n", + "Getting embedding for There are people outdoors.\n", + "Getting embedding for There is a little boy in brown pants.\n", + "Getting embedding for An excited, smiling woman stands at a red railing as she holds a boombox to one side.\n", + "Getting embedding for There are four Eastern guys working on and hanging pictures of humans.\n", + "Getting embedding for A man is hanging up a picture of a child.\n", + "Getting embedding for Three kids are sitting on a rock.\n", + "Getting embedding for The three young childeren were hold an apple with a bite on it\n", + "Getting embedding for There's a group of men hanging up a picture.\n", + "Getting embedding for Two people standing in front of a large statue of a woman, other statues and busts visible in the background.\n", + "Getting embedding for People are paying attention to the person hanging pictures\n", + "Getting embedding for A crowd gesticulates.\n", + "Getting embedding for People waiting to get on a train or just getting off.\n", + "Getting embedding for People are paying attention to the person hanging pictures\n", + "Getting embedding for Two adults walk across the street.\n", + "Getting embedding for Woman wearing a shirt sewing.\n", + "Getting embedding for Men fish on a concrete slab.\n", + "Getting embedding for A town has witnessed the arrival of three bikers.\n", + "Getting embedding for Motorcyclist performing while two men watch.\n", + "Getting embedding for Two little girls lie on the carpet next to an O made of wooden blocks.\n", + "Getting embedding for Two older men in winter coats talking outside of a shop with a grassy lawn covered in a light coat of snow in front of it.\n", + "Getting embedding for The women are exercising.\n", + "Getting embedding for The boy locked the cycle and went away.\n", + "Getting embedding for The people are all jumping into a body of water.\n", + "Getting embedding for There's a group of men hanging up a picture.\n", + "Getting embedding for They are walking with a sign.\n", + "Getting embedding for People are waiting for a race.\n", + "Getting embedding for Men watching motorcyclist.\n", + "Getting embedding for there is a bmx biker who is perfect in ravine jumping\n", + "Getting embedding for Child in red and blue shirt painting a log.\n", + "Getting embedding for A gentleman in a purple scarf and hat is looking at money while holding an accordion.\n", + "Getting embedding for Wet brown dog swims towards camera.\n", + "Getting embedding for There is a woman in a room.\n", + "Getting embedding for young people are gathered around a table\n", + "Getting embedding for One biker is running with their bike while another is riding around them.\n", + "Getting embedding for High fashion ladies wait outside a tram beside a crowd of people in the city.\n", + "Getting embedding for Two girls, each in a dress walking together.\n", + "Getting embedding for There is snow on the ground.\n", + "Getting embedding for People standing near sculptures\n", + "Getting embedding for The women and the man are on a bench.\n", + "Getting embedding for People are looking at sculptures at a museum.\n", + "Getting embedding for The young man is waiting with others on the sidewalk.\n", + "Getting embedding for A girl is enjoying herself.\n", + "Getting embedding for Firemen walking outside\n", + "Getting embedding for The people are walking outdoors.\n", + "Getting embedding for There are people just getting on a train\n", + "Getting embedding for Various people hanging around outside of a building.\n", + "Getting embedding for The two men sign something.\n", + "Getting embedding for One biker is running with their bike while another is riding around them.\n", + "Getting embedding for young people are gathered around a table\n", + "Getting embedding for The woman is wearing white.\n", + "Getting embedding for Two girls are playing outside.\n", + "Getting embedding for Group of young women in dresses strolling on the sidewalk.\n", + "Getting embedding for She plays in a band.\n", + "Getting embedding for Two older men in winter coats talking outside of a shop with a grassy lawn covered in a light coat of snow in front of it.\n", + "Getting embedding for Woman wearing a shirt sewing.\n", + "Getting embedding for A model is doing a shoot.\n", + "Getting embedding for the dog is in the water\n", + "Getting embedding for An older man is drinking orange juice at a restaurant.\n", + "Getting embedding for There are soccer players on the field.\n", + "Getting embedding for An old couple dance in by a juke box while a dude wearing shorts sleeps near a table\n", + "Getting embedding for Woman wearing a shirt sewing.\n", + "Getting embedding for A woman is lying down.\n", + "Getting embedding for A man, wearing a revolutionary apparel is making noise with a bell.\n", + "Getting embedding for The skier is wearing a jumpsuit.\n", + "Getting embedding for The person skiis\n", + "Getting embedding for Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.\n", + "Getting embedding for two small girls walk along the leaves.\n", + "Getting embedding for Two people walk away from a restaurant across a street.\n", + "Getting embedding for Cheerleaders cheering.\n", + "Getting embedding for Two people are having a conversation.\n", + "Getting embedding for Two people standing in front of a large statue of a woman, other statues and busts visible in the background.\n", + "Getting embedding for A woman has children with her at the check out counter.\n", + "Getting embedding for A dog is preparing to run away from a person interacting with it.\n", + "Getting embedding for Asian city scene of people in street with bright lights and glass buildings behind.\n", + "Getting embedding for Choir singing in mass.\n", + "Getting embedding for Three puppies are playing outside.\n", + "Getting embedding for someone in his twenties kicks at the ground\n", + "Getting embedding for there was a speed breaker on the road by which people are taking care\n", + "Getting embedding for An elderly couple dance in front of a juke box while a guy in shorts sleeps at a nearby table\n", + "Getting embedding for Boy in costume followed by a girl in costume.\n", + "Getting embedding for A dog drops a red disc on a beach.\n", + "Getting embedding for A person is painting.\n", + "Getting embedding for Three men are outside.\n", + "Getting embedding for Young woman in a cafe checking her cellphone.\n", + "Getting embedding for The man is holding a balloon.\n", + "Getting embedding for Children going home from school.\n", + "Getting embedding for The dogs run and play with a red ball.\n", + "Getting embedding for Little girl in a blue and yellow plaid outfit and blue hat is running along the trail.\n", + "Getting embedding for Soccer teams play on a field as the sun sets behind a line of trees.\n", + "Getting embedding for The women work in the health field.\n", + "Getting embedding for Children going home from school.\n", + "Getting embedding for The man is pushing a stroller.\n", + "Getting embedding for An average looking man is playing the guitar.\n", + "Getting embedding for The water was choppy as the man parasailed.\n", + "Getting embedding for There is a woman holding a baby, along with a man with a save the children bag.\n", + "Getting embedding for There are people in ChinaTown.\n", + "Getting embedding for Two Asian people sit at a blue table in a food court.\n", + "Getting embedding for a young man wearing a backpack and sunglasses is walking towards a shopping area.\n", + "Getting embedding for The child is outdoors in his bright colored shirt.\n", + "Getting embedding for Men are hanging something on the wall.\n", + "Getting embedding for Two older men are talking.\n", + "Getting embedding for There are lots of cars on the street.\n", + "Getting embedding for The adults are both male and female.\n", + "Getting embedding for People are near snow.\n", + "Getting embedding for group of people running\n", + "Getting embedding for Two guys cook using some rice milk.\n", + "Getting embedding for Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.\n", + "Getting embedding for Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.\n", + "Getting embedding for There are three girls\n", + "Getting embedding for Two men are around a bowl.\n", + "Getting embedding for A man is showing a woman something\n", + "Getting embedding for City people in street\n", + "Getting embedding for A woman in colorful native attire featuring a blue shirt with a colorful design displays her dark hair braided with red ribbons.\n", + "Getting embedding for A young man has his head on the table.\n", + "Getting embedding for couple walking\n", + "Getting embedding for Small boy in pool holds toy.\n", + "Getting embedding for The woman has one foot in the air.\n", + "Getting embedding for There are people on bicycles.\n", + "Getting embedding for Young woman running as two guys in the back try to catch up to her.\n", + "Getting embedding for Two girls lay next to wooden blocks.\n", + "Getting embedding for The child is outdoors in his bright colored shirt.\n", + "Getting embedding for There is a woman holding a baby, along with a man with a save the children bag.\n", + "Getting embedding for couple walking\n", + "Getting embedding for A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.\n", + "Getting embedding for A man wearing blue jeans and red bowling shoes stands in a bowling alley lane with a green ball in his hand.\n", + "Getting embedding for A shot-on-goal action photo of soccer players in red and black uniforms.\n", + "Getting embedding for They are walking with a sign.\n", + "Getting embedding for Two people standing standing near a large statue, with other states nearby.\n", + "Getting embedding for Two old men in winter coats talk outside.\n", + "Getting embedding for people dance together\n", + "Getting embedding for Two sumo wrestlers compete in a match.\n", + "Getting embedding for A woman talks to two other women.\n", + "Getting embedding for A man riding a dirt bike\n", + "Getting embedding for The man is cooking\n", + "Getting embedding for A woman is making a clay pot.\n", + "Getting embedding for man sitting down playing a game of chess alone\n", + "Getting embedding for Two people walk away from a restaurant across a street.\n", + "Getting embedding for The men are drinking.\n", + "Getting embedding for A model is doing a shoot.\n", + "Getting embedding for Young woman in a cafe checking her cellphone.\n", + "Getting embedding for Woman at Walmart check-out having her groceries bagged by an employee.\n", + "Getting embedding for The woman is eating a banana.\n", + "Getting embedding for People waiting at a light on bikes.\n", + "Getting embedding for Two people standing in front of a large statue of a woman, other statues and busts visible in the background.\n", + "Getting embedding for A male painting a scene in front of him.\n", + "Getting embedding for They are walking with a sign.\n", + "Getting embedding for Two older men are talking.\n", + "Getting embedding for Asian city scene of people in street with bright lights and glass buildings behind.\n", + "Getting embedding for Men watching motorcyclist.\n", + "Getting embedding for The person skiis\n", + "Getting embedding for the kid has milk on his face\n", + "Getting embedding for Two men are around a bowl.\n", + "Getting embedding for A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.\n", + "Getting embedding for A woman is making a clay pot.\n", + "Getting embedding for Two young girls are playing outside in a non-urban environment.\n", + "Getting embedding for Mothers with children talking at a gathering.\n", + "Getting embedding for Two Asian people sit at a blue table in a food court.\n", + "Getting embedding for the woman is outside\n", + "Getting embedding for A young lady is looking at her camera.\n", + "Getting embedding for A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.\n", + "Getting embedding for Two men are on scaffolding as they paint above a storefront while a man on the sidewalk stands next to them talking on the phone.\n", + "Getting embedding for two little girls, one in a green jacket and one in a pink jacket, and a little boy in a green jacket holding an apple sitting on a rock.\n", + "Getting embedding for a motorcyclist does a nose wheelie.\n", + "Getting embedding for Two men are standing outside and snow is on the ground.\n", + "Getting embedding for A group of people sitting at a table outside talking.\n", + "Getting embedding for Two people are next to each other.\n", + "Getting embedding for A man with a gray shirt holds a young infant in his hands.\n", + "Getting embedding for There is a little boy in brown pants.\n", + "Getting embedding for a woman in a red jacket watches as a black and brown dog runs away from her in woodland clearing.\n", + "Getting embedding for Three dogs in different shades of brown and white biting and licking each other.\n", + "Getting embedding for People are skydiving.\n", + "Getting embedding for The man walked alongside the crew.\n", + "Getting embedding for The child is outdoors in his bright colored shirt.\n", + "Getting embedding for A town has witnessed the arrival of three bikers.\n", + "Getting embedding for The people are near the table.\n", + "Getting embedding for Three children pose for a picture.\n", + "Getting embedding for There is a family taking a walk outside.\n", + "Getting embedding for A person on skis on a rail at night.\n", + "Getting embedding for Various people hanging around outside of a building.\n", + "Getting embedding for An expectant woman happily lets another listen to the baby inside of her.\n", + "Getting embedding for The young violinist is a woman.\n", + "Getting embedding for People in a meeting setting paying attention to a speaker in an orange shirt.\n", + "Getting embedding for Pitcher is winding up a throw\n", + "Getting embedding for a couple are holding hands behind their backs while walking down a street, and the man has his arm around her shoulder.\n", + "Getting embedding for The mothers are having conversations.\n", + "Getting embedding for two little girls, one in a green jacket and one in a pink jacket, and a little boy in a green jacket holding an apple sitting on a rock.\n", + "Getting embedding for A soccer match between a team with white jerseys, and a team with yellow jerseys.\n", + "Getting embedding for some car passing outside\n", + "Getting embedding for The woman is outdoors with a machine.\n", + "Getting embedding for Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.\n", + "Getting embedding for There are people sitting down.\n", + "Getting embedding for Older couple posing for a picture in front of a fountain.\n", + "Getting embedding for Near a hanging plant, a metal bowl was used to cook by two mens\n", + "Getting embedding for A man is holding an accordian.\n", + "Getting embedding for The women are exercising.\n", + "Getting embedding for A dog swims towards the camera.\n", + "Getting embedding for Busy ChinaTown street corner where people are walking past an open front store.\n", + "Getting embedding for The couple danced.\n", + "Getting embedding for The cars are outside.\n", + "Getting embedding for Three wheelchair basketball players playing basketball in field.\n", + "Getting embedding for A man and two women in black jackets holding umbrellas sit on a long wooden bench.\n", + "Getting embedding for The two people are dancing.\n", + "Getting embedding for There is a little boy in brown pants.\n", + "Getting embedding for The man knows how to play guitar.\n", + "Getting embedding for A young man doing a trick on a skateboard down the stairs while being photographed.\n", + "Getting embedding for The men are drinking.\n", + "Getting embedding for Two pre-teen girls listening to music on an MP3 player with headphones.\n", + "Getting embedding for Two men are around a bowl.\n", + "Getting embedding for There are people outdoors.\n", + "Getting embedding for two female medical personnel read their charts.\n", + "Getting embedding for Several people are dancing together in sync.\n", + "Getting embedding for People are on their bikes.\n", + "Getting embedding for Two older men in winter coats talking outside of a shop with a grassy lawn covered in a light coat of snow in front of it.\n", + "Getting embedding for Three puppies are playing outside.\n", + "Getting embedding for An excited, smiling woman stands at a red railing as she holds a boombox to one side.\n", + "Getting embedding for Emergency personnel looking into the back of a car.\n", + "Getting embedding for Bicyclists waiting at an intersection.\n", + "Getting embedding for People waiting to get on a train or just getting off.\n", + "Getting embedding for Two men are on scaffolding as they paint above a storefront while a man on the sidewalk stands next to them talking on the phone.\n", + "Getting embedding for Man riding bike\n", + "Getting embedding for The women are exercising.\n", + "Getting embedding for Three wheelchair basketball players playing basketball in field.\n", + "Getting embedding for There is a city.\n", + "Getting embedding for Three puppies are playing outside.\n", + "Getting embedding for A woman is walking across the street eating a banana, while a man is following with his briefcase.\n", + "Getting embedding for A meeting of young people sitting at a conference table.\n", + "Getting embedding for There are people just getting on a train\n", + "Getting embedding for An animal is jumping in a place that is not hot.\n", + "Getting embedding for A dog drops a red disc on a beach.\n", + "Getting embedding for A person on a horse jumps over a broken down airplane.\n", + "Getting embedding for The surfer catches a big wave but stays on his board.\n", + "Getting embedding for Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.\n", + "Getting embedding for A group of people are playing a game of soccer.\n", + "Getting embedding for Two men are standing outside and snow is on the ground.\n", + "Getting embedding for A small white dog running on a pebble covered beach.\n", + "Getting embedding for Two sumo wrestlers compete in a match.\n", + "Getting embedding for Men in uniform work together.\n", + "Getting embedding for someone in his twenties kicks at the ground\n", + "Getting embedding for A smiling man cooks something delicious.\n", + "Getting embedding for Some people are cheering on a field.\n", + "Getting embedding for The furry brown dog is swimming in the ocean.\n", + "Getting embedding for A woman talks to others indoors.\n", + "Getting embedding for The cart is filled to the top.\n", + "Getting embedding for People are waiting for a race.\n", + "Getting embedding for Two sumo wrestlers compete in a match.\n", + "Getting embedding for There are four Eastern guys working on and hanging pictures of humans.\n", + "Getting embedding for The people are near the table.\n", + "Getting embedding for There is a city.\n", + "Getting embedding for A man parasails in the choppy water.\n", + "Getting embedding for The skier is wearing a yellow jumpsuit and sliding across a yellow rail.\n", + "Getting embedding for A small white dog running on a pebble covered beach.\n", + "Getting embedding for A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.\n", + "Getting embedding for young people are gathered around a table\n", + "Getting embedding for There are four Eastern guys working on and hanging pictures of humans.\n", + "Getting embedding for The chorus is singing.\n", + "Getting embedding for Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.\n", + "Getting embedding for The school children head home.\n", + "Getting embedding for A woman in a blue shirt and green hat looks up at the camera.\n", + "Getting embedding for Uniformed men work.\n", + "Getting embedding for Two tan and white dogs and one tan dog racing down the beach near the water.\n", + "Getting embedding for Two men stand around a mixing bowl.\n", + "Getting embedding for A model is doing a shoot.\n", + "Getting embedding for The city has a lot of people in it.\n", + "Getting embedding for Toddler in striped sweatshirt plays on rope on playground.\n", + "Getting embedding for Children playing a game.\n", + "Getting embedding for The bicyclists are outside.\n", + "Getting embedding for There are people next to sculptures.\n", + "Getting embedding for A boy in a shirt plays outside.\n", + "Getting embedding for Workers are on break.\n", + "Getting embedding for A woman has her back to the camera.\n", + "Getting embedding for Two people are looking at a clipboard.\n", + "Getting embedding for A man wants a woman to look at his clipboard\n", + "Getting embedding for The boy is wearing a shirt.\n", + "Getting embedding for The child is painting.\n", + "Getting embedding for One person running next to their bike with the person riding their bike behind them.\n", + "Getting embedding for Two men are barefoot on the lawn.\n", + "Getting embedding for A soccer game is in progress.\n", + "Getting embedding for A family walks along a dirt path.\n", + "Getting embedding for There is a man and a woman.\n", + "Getting embedding for There are people outdoors.\n", + "Getting embedding for A man in a colorful shirt is playing an instrument.\n", + "Getting embedding for the man is working on the computer\n", + "Getting embedding for the person is hanging pictures.\n", + "Getting embedding for A man is outside.\n", + "Getting embedding for The white and brown dog is in the air.\n", + "Getting embedding for people sit around table\n", + "Getting embedding for A woman stand on a fountain and dips her toes in.\n", + "Getting embedding for The shop sign says \"Welcome to Golden\"\n", + "Getting embedding for The man is drinking water.\n", + "Getting embedding for There are two woman in this picture.\n", + "Getting embedding for A child.\n", + "Getting embedding for Someone is on top of a cart full of items, while someone else observes.\n", + "Getting embedding for A log is being painted by a child.\n", + "Getting embedding for There are people in front of buildings that are brightly lit.\n", + "Getting embedding for A boy is wearing a shirt\n", + "Getting embedding for a person in orange\n", + "Getting embedding for A man is windsurfing.\n", + "Getting embedding for The child was walking near the grass making a funny face.\n", + "Getting embedding for THe woman is sitting down\n", + "Getting embedding for The racer is driving.\n", + "Getting embedding for The red and black team are playing a game.\n", + "Getting embedding for a guy is performing a bike trick\n", + "Getting embedding for The firemen are gathered one is holding his helmet.\n", + "Getting embedding for There is a girl standing\n", + "Getting embedding for A person looks in her purse at a restaurant.\n", + "Getting embedding for People are playing soccer.\n", + "Getting embedding for The cheerleaders are wearing clothes.\n", + "Getting embedding for People are about to eat.\n", + "Getting embedding for pwople are on stage\n", + "Getting embedding for A person holding a boombox.\n", + "Getting embedding for The child is happy.\n", + "Getting embedding for People are playing a sport.\n", + "Getting embedding for An elderly woman puts carrots into a casserole\n", + "Getting embedding for There is a man in front of the shop.\n", + "Getting embedding for A pair of dogs tease a third with nibbles.\n", + "Getting embedding for Two animals getting to know each other.\n", + "Getting embedding for A woman in white.\n", + "Getting embedding for A car drives through the water.\n", + "Getting embedding for The people stretched on yoga mats.\n", + "Getting embedding for The boy is making a mess.\n", + "Getting embedding for A human walks up some stairs.\n", + "Getting embedding for People are working.\n", + "Getting embedding for Two kids are running.\n", + "Getting embedding for A few people share a bench.\n", + "Getting embedding for A lady looks at a picture on her camera\n", + "Getting embedding for Three men looking at a car.\n", + "Getting embedding for Children playing soccer while the sun sets.\n", + "Getting embedding for The old man is standing outside of a building.\n", + "Getting embedding for An animal is walking outside.\n", + "Getting embedding for The people are doing yoga\n", + "Getting embedding for A woman is talking to children.\n", + "Getting embedding for Kids pose in front of a mountain background.\n", + "Getting embedding for The man is playing music on an instrument.\n", + "Getting embedding for Kids are playing outdoors.\n", + "Getting embedding for Someone sitting outside behind a chessboard.\n", + "Getting embedding for A man doing a wheelie\n", + "Getting embedding for People are fishing and walking next to the water.\n", + "Getting embedding for A man is photographing another man.\n", + "Getting embedding for People are having a discussion.\n", + "Getting embedding for The boy is young.\n", + "Getting embedding for A woman walking outside.\n", + "Getting embedding for People are outside.\n", + "Getting embedding for People are waiting to eat.\n", + "Getting embedding for Three men are grouped around the back of a car.\n", + "Getting embedding for The cowboy waved to the crowd.\n", + "Getting embedding for Two men serving food.\n", + "Getting embedding for A dog is outside.\n", + "Getting embedding for A woman on top of her clothes.\n", + "Getting embedding for A group of people are outside.\n", + "Getting embedding for A group of people gathering on the grass.\n", + "Getting embedding for A man is outdoors.\n", + "Getting embedding for A cowboy rides a bull at a rodeo.\n", + "Getting embedding for A guy stands on stage with his guitar.\n", + "Getting embedding for The workers are standing still.\n", + "Getting embedding for A group of bikers are in the street.\n", + "Getting embedding for A female is next to a man.\n", + "Getting embedding for Two adults walking across a road\n", + "Getting embedding for A groups of people acts on stage.\n", + "Getting embedding for Two people are next to a fountain together.\n", + "Getting embedding for A woman is at a machine.\n", + "Getting embedding for Schoolchildren together\n", + "Getting embedding for The Seiko building is large.\n", + "Getting embedding for People are in the street.\n", + "Getting embedding for A yoga class is in progress.\n", + "Getting embedding for There is a soccer game.\n", + "Getting embedding for There are bicyclists stopped at a road.\n", + "Getting embedding for An Asian woman is smiling at while another lady is rowing.\n", + "Getting embedding for There are some guys in this picture\n", + "Getting embedding for A firefighter sets up tape in a city\n", + "Getting embedding for The girl blows a butterfly.\n", + "Getting embedding for Children enjoy playing together.\n", + "Getting embedding for A classroom is discussing the topics of the day.\n", + "Getting embedding for A group of people point forwards while doing something.\n", + "Getting embedding for the bike is tied to a sign\n", + "Getting embedding for A man plays bowling.\n", + "Getting embedding for People in orange vests await the beginning of a race.\n", + "Getting embedding for A city filled with people in the middle of the daytime.\n", + "Getting embedding for A fireman is working hard to keep people safe.\n", + "Getting embedding for A woman is wearing a green sweatshirt.\n", + "Getting embedding for A man is running behind a sled.\n", + "Getting embedding for Someone is wearing formal clothes.\n", + "Getting embedding for Children are jumping rope.\n", + "Getting embedding for man ringing a bell\n", + "Getting embedding for A young girl has a bowl on her head\n", + "Getting embedding for Brown dog treads through water as he is soaked in water\n", + "Getting embedding for People are near water.\n", + "Getting embedding for The man has something to tell the woman.\n", + "Getting embedding for The people are by the wall.\n", + "Getting embedding for Peole stand by a building supply truck.\n", + "Getting embedding for The man is fertilizering his garden.\n", + "Getting embedding for A school is hosting an event.\n", + "Getting embedding for People playing jump rope.\n", + "Getting embedding for Lady sits gazing at a camera.\n", + "Getting embedding for The man rides an animal.\n", + "Getting embedding for The boy does a skateboarding trick.\n", + "Getting embedding for The man is outside.\n", + "Getting embedding for A man is wearing something with writing on it.\n", + "Getting embedding for A woman preparing to glaze\n", + "Getting embedding for A decorated man sees a scantily clad female.\n", + "Getting embedding for There are three men working.\n", + "Getting embedding for A male is getting a drink of water.\n", + "Getting embedding for People are standing on a grassy field\n", + "Getting embedding for A person throwing something for her dog.\n", + "Getting embedding for A lady wearing a blue shirt.\n", + "Getting embedding for The woman throws a Frisbee to the dog.\n", + "Getting embedding for A person looks up.\n", + "Getting embedding for A group of children are posing.\n", + "Getting embedding for Four guys are playing basketball.\n", + "Getting embedding for One man writes on papers, while another man stands by.\n", + "Getting embedding for A dog with an object in it's mouth is in the water.\n", + "Getting embedding for Two adults walk across a street.\n", + "Getting embedding for A foreign family walks by a dirt trail along a body of water.\n", + "Getting embedding for Pirate on the sidewalk\n", + "Getting embedding for a old man was talking\n", + "Getting embedding for A man stands at the bottom of the stairs.\n", + "Getting embedding for There is a soccer game with a team in yellow.\n", + "Getting embedding for There is a person processing vegetables.\n", + "Getting embedding for The person stares off into the distance.\n", + "Getting embedding for The man is laying down to sleep\n", + "Getting embedding for A street performer is trying to earn extra money.\n", + "Getting embedding for Two men are laughing and enjoying themselves.\n", + "Getting embedding for Two people are outside.\n", + "Getting embedding for There are scultupres nearby.\n", + "Getting embedding for She is packing.\n", + "Getting embedding for a woman looking at her cellphone\n", + "Getting embedding for Bicyclists waiting their turn to cross.\n", + "Getting embedding for People pose for a picture.\n", + "Getting embedding for A photographer takes a picture of the boy's parents by the fountain.\n", + "Getting embedding for A child was making a mess with milk.\n", + "Getting embedding for The family is outside.\n", + "Getting embedding for A family of foreigners walks by the water.\n", + "Getting embedding for A woman is like to touch the water in fountain\n", + "Getting embedding for There are people waiting on a train.\n", + "Getting embedding for People are walking outdoors.\n", + "Getting embedding for A car is flooding.\n", + "Getting embedding for Man sitting on a motorcycle on the sidewalk\n", + "Getting embedding for A dog is running outdoors.\n", + "Getting embedding for two people by a fountain\n", + "Getting embedding for The toddler has milk around the corners of his mouth.\n", + "Getting embedding for A young lady playing in front of the capitol building.\n", + "Getting embedding for The old man is painting a portrait.\n", + "Getting embedding for The woman and man are outdoors.\n", + "Getting embedding for A baby walks on the ground.\n", + "Getting embedding for The children are playing in a rocky field.\n", + "Getting embedding for the dogs see each other\n", + "Getting embedding for a woman and a german shepherd are pictured\n", + "Getting embedding for a woman is talking\n", + "Getting embedding for The woman in green and pink is dancing.\n", + "Getting embedding for They are outside wearing coats.\n", + "Getting embedding for A man makes a ruckus.\n", + "Getting embedding for Near a couple of restaurants, two people walk across the street.\n", + "Getting embedding for People are wearing colorful clothes\n", + "Getting embedding for A cart is full of items.\n", + "Getting embedding for Some men are sitting outdoors.\n", + "Getting embedding for A soccer player jumping up while a game is in progess.\n", + "Getting embedding for A blond man drinking water from a fountain.\n", + "Getting embedding for They are avoiding trees.\n", + "Getting embedding for Man looking at the camera.\n", + "Getting embedding for A couple are having a conversation\n", + "Getting embedding for A man photographs a skateboarder doing tricks.\n", + "Getting embedding for A man is pulling on a rope.\n", + "Getting embedding for Four people congregate near the water.\n", + "Getting embedding for A man is taking photos of skateboarding tricks.\n", + "Getting embedding for Firemen are walking.\n", + "Getting embedding for The man is outside sledding.\n", + "Getting embedding for A person is indoors.\n", + "Getting embedding for A woman is wearing an apron.\n", + "Getting embedding for There are some people outside.\n", + "Getting embedding for Workers are resting during a meal break.\n", + "Getting embedding for The dog is in the snow.\n", + "Getting embedding for Girls and boys are having fun outdoors\n", + "Getting embedding for People are playing a sport in honor of crippled people.\n", + "Getting embedding for The diners are at a restaurant.\n", + "Getting embedding for A lady with a serious face is standing with two guys in front of steps outside.\n", + "Getting embedding for The family is admiring the water\n", + "Getting embedding for A dog is catching a stick.\n", + "Getting embedding for A girl is picking an item up.\n", + "Getting embedding for The man with the gray hat and pitchfork is directing the cart.\n", + "Getting embedding for More than one person on a bicycle is obeying traffic laws.\n", + "Getting embedding for Community members are spending time in the park near a foundtain.\n", + "Getting embedding for A male sitting indoors.\n", + "Getting embedding for the child is working with wood.\n", + "Getting embedding for A person jumps in the air.\n", + "Getting embedding for Two kids wearing costumes are outside.\n", + "Getting embedding for A person on a bike is near a street.\n", + "Getting embedding for A man is playing a game\n", + "Getting embedding for People cheering.\n", + "Getting embedding for There is a windsurfer balancing on choppy water.\n", + "Getting embedding for The goalie wants to prevent a goal.\n", + "Getting embedding for The child is painting.\n", + "Getting embedding for A woman is looking at a man's possessions\n", + "Getting embedding for man playing soccer\n", + "Getting embedding for The man is able to grow a beard.\n", + "Getting embedding for someone is playing an instrument\n", + "Getting embedding for Human rides two wheeled vehicle.\n", + "Getting embedding for The people are outside.\n", + "Getting embedding for A boy in multi-colored shirt hold his arms out from his sides\n", + "Getting embedding for A man is sitting on a motorcycle.\n", + "Getting embedding for A female adult is near some kids.\n", + "Getting embedding for A guy is driving a dirt bike.\n", + "Getting embedding for There are people watching another person hang up pictures.\n", + "Getting embedding for A kite surfer is falling\n", + "Getting embedding for The woman is on a trolley.\n", + "Getting embedding for The bikers are in the town.\n", + "Getting embedding for A man cooks.\n", + "Getting embedding for A man is wearing a cap\n", + "Getting embedding for A woman walked pasted the front of a building.\n", + "Getting embedding for the runners waited to start the race\n", + "Getting embedding for The people are moving.\n", + "Getting embedding for There are some people in a street\n", + "Getting embedding for There are women showing affection.\n", + "Getting embedding for A view of a crowed place in an asian country.\n", + "Getting embedding for The people are outdoors.\n", + "Getting embedding for An old man is enjoying a beverage at a cafe.\n", + "Getting embedding for A woman is interacting with a dog.\n", + "Getting embedding for Man in blue glasses walking pass a building\n", + "Getting embedding for Two women hug each other.\n", + "Getting embedding for A woman with a yellow to sits.\n", + "Getting embedding for A man is on a dirt bike.\n", + "Getting embedding for a woman eating a banana crosses a street\n", + "Getting embedding for A man pulls on a rope.\n", + "Getting embedding for A soccer game.\n", + "Getting embedding for Cheerleaders cheer on a field for an activity.\n", + "Getting embedding for Two kids are playing with a big rock in the field\n", + "Getting embedding for Bikers stop in towns\n", + "Getting embedding for the woman is wearing a red shirt.\n", + "Getting embedding for The buildings are tall.\n", + "Getting embedding for a child was there\n", + "Getting embedding for Some women are talking.\n", + "Getting embedding for A middle aged oriental woman in a green headscarf and blue shirt is flashing a giant smile\n", + "Getting embedding for A couple is in a hot tub.\n", + "Getting embedding for A small girl with a necklace is in the water\n", + "Getting embedding for A boy is holding his arms out.\n", + "Getting embedding for A blonde woman looks for things in a suitcase.\n", + "Getting embedding for a man is photographing a man skateboarding.\n", + "Getting embedding for The crowd looked on while the players prepared themselves.\n", + "Getting embedding for A man is taking the picture of a skateboarder who is performing a trick.\n", + "Getting embedding for A man sits in front of a set up chess game.\n", + "Getting embedding for People take photos outdoors while a man performs exciting skateboarding tricks.\n", + "Getting embedding for An old man is standing by a building in downtown.\n", + "Getting embedding for lots of people are in the street\n", + "Getting embedding for People wait on traffic.\n", + "Getting embedding for The young man has glasses on his face.\n", + "Getting embedding for The couple is outdoors.\n", + "Getting embedding for The dog is running.\n", + "Getting embedding for The child is painting the wood.\n", + "Getting embedding for The man is outside.\n", + "Getting embedding for The man plays guitar\n", + "Getting embedding for The guys are playing a game.\n", + "Getting embedding for A man is walking with his horse up a country road.\n", + "Getting embedding for Someone is filming.\n", + "Getting embedding for A man is making a loud noise.\n", + "Getting embedding for A man is bowling.\n", + "Getting embedding for A person is dipping her foot into water.\n", + "Getting embedding for A man is wakeboarding.\n", + "Getting embedding for The man is putting up a poster.\n", + "Getting embedding for Firefighters are checking a car.\n", + "Getting embedding for dogs attacking another dog\n", + "Getting embedding for The girl is under the age of 88 years old.\n", + "Getting embedding for people are together\n", + "Getting embedding for A man is standing in front of a shop.\n", + "Getting embedding for There are people at work.\n", + "Getting embedding for A picture of a city is on a street\n", + "Getting embedding for A man is holding a girls hand and walking through a creek.\n", + "Getting embedding for A man is wearing blue.\n", + "Getting embedding for The boy mugs for the camera.\n", + "Getting embedding for There are children present\n", + "Getting embedding for The girl is sitting.\n", + "Getting embedding for A person and their pet are outdoors\n", + "Getting embedding for The person is interested in a water jet.\n", + "Getting embedding for Toddler wearing mik\n", + "Getting embedding for A man waiting with his computer.\n", + "Getting embedding for The baby is playing.\n", + "Getting embedding for Two kids are with a wagon.\n", + "Getting embedding for People with bikes.\n", + "Getting embedding for A child plays at a park.\n", + "Getting embedding for A happy woman smiling\n", + "Getting embedding for A dog is fetching a stick out of very clear water.\n", + "Getting embedding for A man has facial hair.\n", + "Getting embedding for The couple is dancing together.\n", + "Getting embedding for A couple taking a picture\n", + "Getting embedding for A family of three is at the beach.\n", + "Getting embedding for The man is standing.\n", + "Getting embedding for A man is bowling.\n", + "Getting embedding for a bearded man pulls a rope\n", + "Getting embedding for A man is working on a bike.\n", + "Getting embedding for Several children are jumping rope in the middle of a road while other kids watch\n", + "Getting embedding for Several people in an alleyway.\n", + "Getting embedding for A man resting on a street.\n", + "Getting embedding for The biker is jumping into a hole.\n", + "Getting embedding for Grafffiti on a brick wall.\n", + "Getting embedding for The brightly dressed skier slid down the race course.\n", + "Getting embedding for Somebody is engaging in winter sports.\n", + "Getting embedding for A man shows a woman something.\n", + "Getting embedding for The man is outside.\n", + "Getting embedding for a group of men and women converse\n", + "Getting embedding for Men and women outside on a street corner.\n", + "Getting embedding for The man is smoking something while sitting on the scooter.\n", + "Getting embedding for Some women are reading.\n", + "Getting embedding for They are avoiding trees.\n", + "Getting embedding for The people are moving.\n", + "Getting embedding for The buildings are tall.\n", + "Getting embedding for The Seiko building is large.\n", + "Getting embedding for a group of men and women converse\n", + "Getting embedding for two people by a fountain\n", + "Getting embedding for Gray dog running down pavement toward laundry line in courtyard.\n", + "Getting embedding for Three men, two wearing yellow suits, are looking in the back of a car.\n", + "Getting embedding for A woman wearing all white and eating, walks next to a man holding a briefcase.\n", + "Getting embedding for A man makes a ruckus.\n", + "Getting embedding for The cowboy waved to the crowd.\n", + "Getting embedding for There is a windsurfer balancing on choppy water.\n", + "Getting embedding for A person is a red hat and winter jacket is looking into the distance.\n", + "Getting embedding for The man rides an animal.\n", + "Getting embedding for man playing soccer\n", + "Getting embedding for Man in blue glasses walking pass a building\n", + "Getting embedding for There are people outdoors.\n", + "Getting embedding for A young man in blue sunglasses walking in front of a red brick building.\n", + "Getting embedding for The girl is under the age of 88 years old.\n", + "Getting embedding for There is a windsurfer balancing on choppy water.\n", + "Getting embedding for The shop sign says \"Welcome to Golden\"\n", + "Getting embedding for People are stretching on yoga mats.\n", + "Getting embedding for A white and brown dog is leaping through the air.\n", + "Getting embedding for There are bicyclists stopped at a road.\n", + "Getting embedding for Children enjoy playing together.\n", + "Getting embedding for The child is happy.\n", + "Getting embedding for Workers are resting during a meal break.\n", + "Getting embedding for There are two woman in this picture.\n", + "Getting embedding for Grafffiti on a brick wall.\n", + "Getting embedding for Human rides two wheeled vehicle.\n", + "Getting embedding for There are people outdoors.\n", + "Getting embedding for The people stretched on yoga mats.\n", + "Getting embedding for Three men, two wearing yellow suits, are looking in the back of a car.\n", + "Getting embedding for There are people watching another person hang up pictures.\n", + "Getting embedding for Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.\n", + "Getting embedding for A girl wearing a blue shirt, shorts, and sneakers is seated on a stool at a round table, looking at her phone.\n", + "Getting embedding for There is a soccer game with a team in yellow.\n", + "Getting embedding for The man is outside sledding.\n", + "Getting embedding for A group of adults is having a discussion at a table under a tent.\n", + "Getting embedding for Lady sits gazing at a camera.\n", + "Getting embedding for There are bicyclists stopped at a road.\n", + "Getting embedding for The couple is outdoors.\n", + "Getting embedding for A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.\n", + "Getting embedding for a child was there\n", + "Getting embedding for Workers are eating a meal while one man sits on a pile of plywood.\n", + "Getting embedding for Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.\n", + "Getting embedding for Man smokes while sitting on a parked scooter.\n", + "Getting embedding for a woman eating a banana crosses a street\n", + "Getting embedding for They are avoiding trees.\n", + "Getting embedding for The people are by the wall.\n", + "Getting embedding for The old man is standing outside of a building.\n", + "Getting embedding for Someone is filming.\n", + "Getting embedding for Two animals getting to know each other.\n", + "Getting embedding for the dogs see each other\n", + "Getting embedding for Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.\n", + "Getting embedding for Two men trying to build something together, while having fun.\n", + "Getting embedding for a woman and a german shepherd are pictured\n", + "Getting embedding for Somebody is engaging in winter sports.\n", + "Getting embedding for The woman throws a Frisbee to the dog.\n", + "Getting embedding for The bikers are in the town.\n", + "Getting embedding for White small child wearing a brown and gray striped hoodie plays at park.\n", + "Getting embedding for A man dressed in snow-gear takes a leap into a snow-covered ravine.\n", + "Getting embedding for People are fishing and walking next to the water.\n", + "Getting embedding for The workers are standing still.\n", + "Getting embedding for People pose for a picture.\n", + "Getting embedding for Three firefighters, the nearest firefighter is holding a helmet in his left hand.\n", + "Getting embedding for People are having a discussion.\n", + "Getting embedding for Children's soccer game being played while the sun sets in the background.\n", + "Getting embedding for three bikers stop in town.\n", + "Getting embedding for The people are by the wall.\n", + "Getting embedding for a woman on a yellow shirt is on the floor.\n", + "Getting embedding for Two people enjoying a water fountain display.\n", + "Getting embedding for Firemen are walking.\n", + "Getting embedding for A person and their pet are outdoors\n", + "Getting embedding for People are in the street.\n", + "Getting embedding for People are about to eat.\n", + "Getting embedding for A street performer is trying to earn extra money.\n", + "Getting embedding for A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.\n", + "Getting embedding for A group of people are doing yoga.\n", + "Getting embedding for A smiling lady in a green jacket at a public gathering.\n", + "Getting embedding for Two animals getting to know each other.\n", + "Getting embedding for Men and women outside on a street corner.\n", + "Getting embedding for There is a person processing vegetables.\n", + "Getting embedding for The red and black team are playing a game.\n", + "Getting embedding for A man is windsurfing.\n", + "Getting embedding for THe woman is sitting down\n", + "Getting embedding for A man, woman, and child enjoying themselves on a beach.\n", + "Getting embedding for People are having a discussion.\n", + "Getting embedding for A woman in a blue shirt is sitting at a table and looking at her cellphone.\n", + "Getting embedding for There is a soccer game.\n", + "Getting embedding for Two large dogs greet other while their owners watch.\n", + "Getting embedding for A small girl dressed in a yellow dress with flowers on it bends over near a large pile of watermelons.\n", + "Getting embedding for People are near water.\n", + "Getting embedding for two people by a fountain\n", + "Getting embedding for Child in red and blue shirt painting a log.\n", + "Getting embedding for A street performer is trying to earn extra money.\n", + "Getting embedding for The man is outside sledding.\n", + "Getting embedding for People walking around in a big city.\n", + "Getting embedding for a child is pushing another kid in a wheeler dressed in a red top and wearing a cap.\n", + "Getting embedding for A man holds a clipboard and a pen as a woman looks at them.\n", + "Getting embedding for The man is fertilizering his garden.\n", + "Getting embedding for The white and brown dog is in the air.\n", + "Getting embedding for People pose for a picture.\n", + "Getting embedding for Lady sits gazing at a camera.\n", + "Getting embedding for A woman talks to two other women and a man with notepads in an office building with large windows.\n", + "Getting embedding for A woman talking to four little children outside.\n", + "Getting embedding for There are some guys in this picture\n", + "Getting embedding for A middle aged oriental woman in a green headscarf and blue shirt is flashing a giant smile\n", + "Getting embedding for The young man has glasses on his face.\n", + "Getting embedding for Toddler wearing mik\n", + "Getting embedding for A person is a red hat and winter jacket is looking into the distance.\n", + "Getting embedding for Workers are eating a meal while one man sits on a pile of plywood.\n", + "Getting embedding for a woman with a straw hat working on a strange machine with coconuts at her side.\n", + "Getting embedding for The person stares off into the distance.\n", + "Getting embedding for The dog is in the snow.\n", + "Getting embedding for dogs attacking another dog\n", + "Getting embedding for Two little kids showing their American pride in their star spangled wagon.\n", + "Getting embedding for People are walking outdoors.\n", + "Getting embedding for A small girl stands among many large watermelons.\n", + "Getting embedding for A man wearing a gray cap is looking down.\n", + "Getting embedding for The Seiko building is large.\n", + "Getting embedding for People are standing on a grassy field\n", + "Getting embedding for Young blond woman putting her foot into a water fountain\n", + "Getting embedding for Young people playing with a long jump rope in the street.\n", + "Getting embedding for Several people in an alleyway.\n", + "Getting embedding for Two kids are playing with a big rock in the field\n", + "Getting embedding for Two adults walking across a road\n", + "Getting embedding for The bikers are in the town.\n", + "Getting embedding for The red team knocked the ball toward the goal and the black team tried to block it.\n", + "Getting embedding for Two people are looking at a clipboard.\n", + "Getting embedding for A man is wakeboarding.\n", + "Getting embedding for The red and black team are playing a game.\n", + "Getting embedding for In a bowling alley, a man holding a green bowling ball looks ahead at the pins that he must knock down.\n", + "Getting embedding for Man smokes while sitting on a parked scooter.\n", + "Getting embedding for Two women are talking while children are sitting on their laps.\n", + "Getting embedding for People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.\n", + "Getting embedding for A man with wild hair rocks a show playing a guitar center stage.\n", + "Getting embedding for two men serving preparing food.\n", + "Getting embedding for Two people with bicycles, one in front running with a bike and one in back riding.\n", + "Getting embedding for Workers are resting during a meal break.\n", + "Getting embedding for A woman wearing an apron inspects a large pot on a table filled with cups, bowls, pots and baskets of assorted size.\n", + "Getting embedding for A man is putting up a poster in front of a shop.\n", + "Getting embedding for a lone person jumping through the air from one snowy mountain to another.\n", + "Getting embedding for The toddler has milk around the corners of his mouth.\n", + "Getting embedding for Some men are sitting outdoors.\n", + "Getting embedding for An older man dressed in blue historical clothing is ringing a bell in his right hand.\n", + "Getting embedding for Two people pose for the camera.\n", + "Getting embedding for A classroom is discussing the topics of the day.\n", + "Getting embedding for People wait on traffic.\n", + "Getting embedding for A woman is wearing a green sweatshirt.\n", + "Getting embedding for The people are outside.\n", + "Getting embedding for Two men are barefoot on the lawn.\n", + "Getting embedding for Somebody is engaging in winter sports.\n", + "Getting embedding for Children playing a game.\n", + "Getting embedding for A young toddler wearing pink sandals is walking on hopscotch numbers.\n", + "Getting embedding for Two kids are playing with a big rock in the field\n", + "Getting embedding for A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.\n", + "Getting embedding for A soccer game.\n", + "Getting embedding for Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.\n", + "Getting embedding for The white and brown dog is in the air.\n", + "Getting embedding for People wait on traffic.\n", + "Getting embedding for An old man wearing khaki pants and a brown shirt standing on the sidewalk in front of a building.\n", + "Getting embedding for a motorcyclist does a nose wheelie.\n", + "Getting embedding for A woman in a blue shirt is sitting at a table and looking at her cellphone.\n", + "Getting embedding for Somebody is engaging in winter sports.\n", + "Getting embedding for Two women who just had lunch hugging and saying goodbye.\n", + "Getting embedding for a guy is performing a bike trick\n", + "Getting embedding for The young man has glasses on his face.\n", + "Getting embedding for People waiting to get on a train or just getting off.\n", + "Getting embedding for a group of men and women converse\n", + "Getting embedding for More than one person on a bicycle is obeying traffic laws.\n", + "Getting embedding for The family is outside.\n", + "Getting embedding for The family is admiring the water\n", + "Getting embedding for The workers are standing still.\n", + "Getting embedding for A woman stand on a fountain and dips her toes in.\n", + "Getting embedding for People are standing on a grassy field\n", + "Getting embedding for Two adults walk across a street.\n", + "Getting embedding for a person in orange\n", + "Getting embedding for Lady wearing a yellow top is sitting on a chair\n", + "Getting embedding for people sit around table\n", + "Getting embedding for Men and women outside on a street corner.\n", + "Getting embedding for People wait on traffic.\n", + "Getting embedding for A child using a woodworking tool\n", + "Getting embedding for An older couple posing in front of a fountain for a picture\n", + "Getting embedding for A log is being painted by a child.\n", + "Getting embedding for In a bowling alley, a man holding a green bowling ball looks ahead at the pins that he must knock down.\n", + "Getting embedding for The cheerleaders are wearing clothes.\n", + "Getting embedding for Workers are on break.\n", + "Getting embedding for two men serving preparing food.\n", + "Getting embedding for Two people dancing, wearing dance costumes.\n", + "Getting embedding for Bikers stop in towns\n", + "Getting embedding for A man wearing a blue shirt screaming or yelling with his arms raised up in the air.\n", + "Getting embedding for Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.\n", + "Getting embedding for A saddle bronc rider gets lifted out of the saddle, but keeps his grip during his ride.\n", + "Getting embedding for the man is working on the computer\n", + "Getting embedding for Bicyclists waiting at an intersection.\n", + "Getting embedding for man ringing a bell\n", + "Getting embedding for A group of people are sitting around a table under a blue sunshade.\n", + "Getting embedding for Lady sits gazing at a camera.\n", + "Getting embedding for Two people are next to a fountain together.\n", + "Getting embedding for The girl is under the age of 88 years old.\n", + "Getting embedding for someone is playing an instrument\n", + "Getting embedding for Some women are reading.\n", + "Getting embedding for A woman wearing a green and pink dress is dancing with someone wearing a blue top with white pants.\n", + "Getting embedding for People are playing a sport.\n", + "Getting embedding for a man wearing a multicolored striped shirt playing the guitar on the street\n", + "Getting embedding for the dogs see each other\n", + "Getting embedding for a woman looking at her cellphone\n", + "Getting embedding for A woman in a black and orange jacket throws a stick for a brown and black dog to fetch.\n", + "Getting embedding for Two men are laughing and enjoying themselves.\n", + "Getting embedding for Several children are jumping rope in the middle of a road while other kids watch\n", + "Getting embedding for A skier in electric green on the edge of a ramp made of metal bars.\n", + "Getting embedding for A smiling lady in a green jacket at a public gathering.\n", + "Getting embedding for Two adults walking across a road\n", + "Getting embedding for The buildings are tall.\n", + "Getting embedding for A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.\n", + "Getting embedding for A man is outside.\n", + "Getting embedding for Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.\n", + "Getting embedding for Kids are playing outdoors.\n", + "Getting embedding for A man is wearing blue.\n", + "Getting embedding for People wait on traffic.\n", + "Getting embedding for Bikers stop in towns\n", + "Getting embedding for The young man has glasses on his face.\n", + "Getting embedding for People are outside.\n", + "Getting embedding for There are some guys in this picture\n", + "Getting embedding for Three men looking at a car.\n", + "Getting embedding for The people are outdoors.\n", + "Getting embedding for A small girl dressed in a yellow dress with flowers on it bends over near a large pile of watermelons.\n", + "Getting embedding for A man is holding a girls hand and walking through a creek.\n", + "Getting embedding for Five people on stage performing and acting while girl lay's on belly.\n", + "Getting embedding for People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.\n", + "Getting embedding for a man wearing blue plays soccer.\n", + "Getting embedding for The people are doing yoga\n", + "Getting embedding for The boy is young.\n", + "Getting embedding for Two kids are playing with a big rock in the field\n", + "Getting embedding for Some children are playing jump rope.\n", + "Getting embedding for People are playing soccer.\n", + "Getting embedding for People walking around in a big city.\n", + "Getting embedding for The old man is painting a portrait.\n", + "Getting embedding for The boy does a skateboarding trick.\n", + "Getting embedding for The man is fertilizering his garden.\n", + "Getting embedding for The red team knocked the ball toward the goal and the black team tried to block it.\n", + "Getting embedding for A dog with an object in it's mouth is in the water.\n", + "Getting embedding for A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.\n", + "Getting embedding for People on bicycles waiting at an intersection.\n", + "Getting embedding for There are two woman in this picture.\n", + "Getting embedding for A woman in a red shirt is speaking at a table in a room where three other people are listening to her.\n", + "Getting embedding for The man has something to tell the woman.\n", + "Getting embedding for a man wearing blue plays soccer.\n", + "Getting embedding for A photographer takes a picture of the boy's parents by the fountain.\n", + "Getting embedding for A small girl dressed in a yellow dress with flowers on it bends over near a large pile of watermelons.\n", + "Getting embedding for The children are playing in a rocky field.\n", + "Getting embedding for One man writes on papers, while another man stands by.\n", + "Getting embedding for A man makes a ruckus.\n", + "Getting embedding for The people are moving.\n", + "Getting embedding for A man is sitting on a motorcycle.\n", + "Getting embedding for A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.\n", + "Getting embedding for White small child wearing a brown and gray striped hoodie plays at park.\n", + "Getting embedding for Kids pose in front of a mountain background.\n", + "Getting embedding for The man is fertilizering his garden.\n", + "Getting embedding for There are some people in a street\n", + "Getting embedding for Toddler with milk around his mouth.\n", + "Getting embedding for A woman in a blue shirt is sitting at a table and looking at her cellphone.\n", + "Getting embedding for The boy does a skateboarding trick.\n", + "Getting embedding for Two men are barefoot on the lawn.\n", + "Getting embedding for Young people playing with a long jump rope in the street.\n", + "Getting embedding for There are some guys in this picture\n", + "Getting embedding for The child is painting.\n", + "Getting embedding for Two guys playing football on a campus green.\n", + "Getting embedding for The red and black team are playing a game.\n", + "Getting embedding for Girl is blowing to a butterfly.\n", + "Getting embedding for There is a soccer game.\n", + "Getting embedding for Workers are eating a meal while one man sits on a pile of plywood.\n", + "Getting embedding for A young boy with a blue coat makes a funny face as he walks towards the grass.\n", + "Getting embedding for A man wearing a gray cap is looking down.\n", + "Getting embedding for a woman and a german shepherd are pictured\n", + "Getting embedding for Brown dog treads through water.\n", + "Getting embedding for The cheerleaders are wearing clothes.\n", + "Getting embedding for Girls and boys are having fun outdoors\n", + "Getting embedding for Asian school children sitting on each others shoulders.\n", + "Getting embedding for Girls and boys are having fun outdoors\n", + "Getting embedding for A man is sitting on a motorcycle on the sidewalk.\n", + "Getting embedding for Two guys playing football on a campus green.\n", + "Getting embedding for The people stretched on yoga mats.\n", + "Getting embedding for People are fishing and walking next to the water.\n", + "Getting embedding for Two children are running down a sidewalk dressed in costumes.\n", + "Getting embedding for two men serving preparing food.\n", + "Getting embedding for A man dressed in blue shirt and shorts sits at a table while playing black in chess.\n", + "Getting embedding for pwople are on stage\n", + "Getting embedding for A person throwing something for her dog.\n", + "Getting embedding for Two people dancing, wearing dance costumes.\n", + "Getting embedding for Children playing a game.\n", + "Getting embedding for An older man stands on the sidewalk painting the view.\n", + "Getting embedding for A yellow uniformed skier is performing a trick across a railed object.\n", + "Getting embedding for The cheerleaders are wearing clothes.\n", + "Getting embedding for The toddler has milk around the corners of his mouth.\n", + "Getting embedding for Two women hug each other.\n", + "Getting embedding for The girl blows a butterfly.\n", + "Getting embedding for The woman in green and pink is dancing.\n", + "Getting embedding for a woman is talking\n", + "Getting embedding for Some firefighters check a vehicle.\n", + "Getting embedding for The shop sign says \"Welcome to Golden\"\n", + "Getting embedding for The man is outside sledding.\n", + "Getting embedding for Peole stand by a building supply truck.\n", + "Getting embedding for The cheerleaders are wearing clothes.\n", + "Getting embedding for The red and black team are playing a game.\n", + "Getting embedding for The silhouette of three people in front of a wall.\n", + "Getting embedding for A small boy has gotten into the cabinet and gotten flour and crisco all over himself.\n", + "Getting embedding for The man has something to tell the woman.\n", + "Getting embedding for A male is getting a drink of water.\n", + "Getting embedding for The red team knocked the ball toward the goal and the black team tried to block it.\n", + "Getting embedding for A farmer fertilizing his garden with manure with a horse and wagon.\n", + "Getting embedding for The old man is painting a portrait.\n", + "Getting embedding for A man with wild hair rocks a show playing a guitar center stage.\n", + "Getting embedding for People with bikes.\n", + "Getting embedding for Two women are talking while children are sitting on their laps.\n", + "Getting embedding for The toddler has milk around the corners of his mouth.\n", + "Getting embedding for People are walking outdoors.\n", + "Getting embedding for A lady with sunglasses on her head and a green sweatshirt is looking off-camera.\n", + "Getting embedding for Toddler with milk around his mouth.\n", + "Getting embedding for One soccer team is playing against another.\n", + "Getting embedding for Two women hug each other.\n", + "Getting embedding for There is a girl standing\n", + "Getting embedding for A man in a colorful shirt is playing an instrument.\n", + "Getting embedding for Two guys playing football on a campus green.\n", + "Getting embedding for A child was making a mess with milk.\n", + "Getting embedding for The man has something to tell the woman.\n", + "Getting embedding for People are playing a sport.\n", + "Getting embedding for A man shows a woman something.\n", + "Getting embedding for The woman is on a trolley.\n", + "Getting embedding for a woman on a yellow shirt is on the floor.\n", + "Getting embedding for the dogs see each other\n", + "Getting embedding for The brightly dressed skier slid down the race course.\n", + "Getting embedding for There are bicyclists stopped at a road.\n", + "Getting embedding for Two dogs biting another dog in a field.\n" + ] + } + ], "source": [ "# establish a cache of embeddings to avoid recomputing\n", "# cache is a dict of tuples (text, engine) -> embedding\n", @@ -346,7 +3034,8 @@ " with open(embedding_cache_path, \"rb\") as f:\n", " embedding_cache = pickle.load(f)\n", "except FileNotFoundError:\n", - " embedding_cache = {}\n", + " precomputed_embedding_cache_path = \"https://cdn.openai.com/API/examples/data/snli_embedding_cache.pkl\"\n", + " embedding_cache = pd.read_pickle(precomputed_embedding_cache_path)\n", "\n", "\n", "# this function will get embeddings from the cache and save them there afterward\n", @@ -356,6 +3045,7 @@ " embedding_cache: dict = embedding_cache,\n", " embedding_cache_path: str = embedding_cache_path,\n", ") -> list:\n", + " print(f\"Getting embedding for {text}\")\n", " if (text, engine) not in embedding_cache.keys():\n", " # if not in cache, call API to get embedding\n", " embedding_cache[(text, engine)] = get_embedding(text, engine)\n", @@ -393,7 +3083,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": { "id": "SoeDF8vqpgkQ", "outputId": "17db817e-1702-4089-c4e8-8ca32d294930" @@ -424,1006 +3114,340 @@ "showlegend": true, "type": "histogram", "x": [ - 0.8770230424921419, - 0.8669182997776191, - 0.9055063218706818, - 0.8673902276919447, - 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0.7038415933653567, + 0.7075232375166159, + 0.7874649158888938, + 0.7313010819863205, + 0.7350274389477689, + 0.7338570735840917, + 0.7480964597537426, + 0.7399861283611244, + 0.6911968351977298 ], "xaxis": "x", "yaxis": "y" @@ -5400,15 +5428,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "train accuracy: 88.6% ± 1.4%\n", - "test accuracy: 90.0% ± 1.3%\n" + "train accuracy: 87.9% ± 2.5%\n", + "test accuracy: 88.5% ± 2.4%\n" ] } ], "source": [ "# calculate accuracy (and its standard error) of predicting label=1 if similarity>x\n", "# x is optimized by sweeping from -1 to 1 in steps of 0.01\n", - "def accuracy_and_se(cosine_similarity:float, labeled_similarity:int) -> Tuple[float]:\n", + "def accuracy_and_se(cosine_similarity: float, labeled_similarity: int) -> Tuple[float]:\n", " accuracies = []\n", " for threshold_thousandths in range(-1000, 1000, 1):\n", " threshold = threshold_thousandths / 1000\n", @@ -5429,6 +5457,7 @@ " standard_error = (a * (1 - a) / n) ** 0.5 # standard error of binomial\n", " return a, standard_error\n", "\n", + "\n", "# check that training and test sets are balanced\n", "px.histogram(\n", " df,\n", @@ -5442,8 +5471,7 @@ "for dataset in [\"train\", \"test\"]:\n", " data = df[df[\"dataset\"] == dataset]\n", " a, se = accuracy_and_se(data[\"cosine_similarity\"], data[\"label\"])\n", - " print(f'{dataset} accuracy: {a:0.1%} ± {1.96 * se:0.1%}')\n", - "\n" + " print(f\"{dataset} accuracy: {a:0.1%} ± {1.96 * se:0.1%}\")\n" ] }, { @@ -5457,13 +5485,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": { "id": "z52V0x8IpgkR" }, "outputs": [], "source": [ - "def embedding_multiplied_by_matrix(embedding: List[float], matrix: torch.tensor) -> np.array:\n", + "def embedding_multiplied_by_matrix(\n", + " embedding: List[float], matrix: torch.tensor\n", + ") -> np.array:\n", " embedding_tensor = torch.tensor(embedding).float()\n", " modified_embedding = embedding_tensor @ matrix\n", " modified_embedding = modified_embedding.detach().numpy()\n", @@ -5486,7 +5516,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": { "id": "p2ZSXu6spgkR" }, @@ -5616,7 +5646,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": { "id": "nlcUW-zEpgkS", "outputId": "4bd4bdff-628a-406f-fffe-aedbfad66446" @@ -5626,186 +5656,186 @@ "name": "stdout", "output_type": "stream", "text": [ - "Epoch 1/30: train accuracy: 89.7% ± 1.3%\n", - "Epoch 1/30: test accuracy: 91.8% ± 1.2%\n", - "Epoch 2/30: train accuracy: 91.0% ± 1.3%\n", - "Epoch 2/30: test accuracy: 92.3% ± 1.2%\n", - "Epoch 3/30: train accuracy: 91.5% ± 1.2%\n", - "Epoch 3/30: test accuracy: 93.0% ± 1.1%\n", - "Epoch 4/30: train accuracy: 92.0% ± 1.2%\n", - "Epoch 4/30: test accuracy: 93.2% ± 1.1%\n", - "Epoch 5/30: train accuracy: 92.7% ± 1.1%\n", - "Epoch 5/30: test accuracy: 93.7% ± 1.1%\n", - "Epoch 6/30: train accuracy: 92.8% ± 1.1%\n", - "Epoch 6/30: test accuracy: 94.0% ± 1.0%\n", - "Epoch 7/30: train accuracy: 93.0% ± 1.1%\n", - "Epoch 7/30: test accuracy: 94.2% ± 1.0%\n", - "Epoch 8/30: train accuracy: 93.2% ± 1.1%\n", - "Epoch 8/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 9/30: train accuracy: 93.2% ± 1.1%\n", - "Epoch 9/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 10/30: train accuracy: 93.5% ± 1.1%\n", - "Epoch 10/30: test accuracy: 94.6% ± 1.0%\n", - "Epoch 11/30: train accuracy: 93.7% ± 1.1%\n", - "Epoch 11/30: test accuracy: 94.7% ± 1.0%\n", - "Epoch 12/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 12/30: test accuracy: 94.8% ± 1.0%\n", - "Epoch 13/30: train accuracy: 93.7% ± 1.1%\n", - "Epoch 13/30: test accuracy: 94.8% ± 1.0%\n", - "Epoch 14/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 14/30: test accuracy: 94.8% ± 1.0%\n", - "Epoch 15/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 15/30: test accuracy: 94.7% ± 1.0%\n", - "Epoch 16/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 16/30: test accuracy: 94.8% ± 1.0%\n", - "Epoch 17/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 17/30: test accuracy: 94.8% ± 1.0%\n", - "Epoch 18/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 18/30: test accuracy: 94.7% ± 1.0%\n", - "Epoch 19/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 19/30: test accuracy: 94.8% ± 1.0%\n", - "Epoch 20/30: train accuracy: 93.7% ± 1.1%\n", - "Epoch 20/30: test accuracy: 94.8% ± 1.0%\n", - "Epoch 21/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 21/30: test accuracy: 94.8% ± 1.0%\n", - "Epoch 22/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 22/30: test accuracy: 94.7% ± 1.0%\n", - "Epoch 23/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 23/30: test accuracy: 94.7% ± 1.0%\n", - "Epoch 24/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 24/30: test accuracy: 94.7% ± 1.0%\n", - "Epoch 25/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 25/30: test accuracy: 94.6% ± 1.0%\n", - "Epoch 26/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 26/30: test accuracy: 94.7% ± 1.0%\n", - "Epoch 27/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 27/30: test accuracy: 94.6% ± 1.0%\n", - "Epoch 28/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 28/30: test accuracy: 94.6% ± 1.0%\n", - "Epoch 29/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 29/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 30/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 30/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 1/30: train accuracy: 89.9% ± 1.3%\n", - "Epoch 1/30: test accuracy: 91.8% ± 1.2%\n", - "Epoch 2/30: train accuracy: 91.1% ± 1.2%\n", - "Epoch 2/30: test accuracy: 92.3% ± 1.2%\n", - "Epoch 3/30: train accuracy: 91.8% ± 1.2%\n", - "Epoch 3/30: test accuracy: 92.8% ± 1.1%\n", - "Epoch 4/30: train accuracy: 92.3% ± 1.2%\n", - "Epoch 4/30: test accuracy: 93.2% ± 1.1%\n", - "Epoch 5/30: train accuracy: 92.8% ± 1.1%\n", - "Epoch 5/30: test accuracy: 93.5% ± 1.1%\n", - "Epoch 6/30: train accuracy: 93.0% ± 1.1%\n", - "Epoch 6/30: test accuracy: 93.7% ± 1.1%\n", - "Epoch 7/30: train accuracy: 93.2% ± 1.1%\n", - "Epoch 7/30: test accuracy: 94.0% ± 1.0%\n", - "Epoch 8/30: train accuracy: 93.5% ± 1.1%\n", - "Epoch 8/30: test accuracy: 94.1% ± 1.0%\n", - "Epoch 9/30: train accuracy: 93.7% ± 1.1%\n", - "Epoch 9/30: test accuracy: 94.3% ± 1.0%\n", - "Epoch 10/30: train accuracy: 93.7% ± 1.1%\n", - "Epoch 10/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 11/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 11/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 12/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 12/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 13/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 13/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 14/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 14/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 15/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 15/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 16/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 16/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 17/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 17/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 18/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 18/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 19/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 19/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 20/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 20/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 21/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 21/30: test accuracy: 94.4% ± 1.0%\n", - "Epoch 22/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 22/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 23/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 23/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 24/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 24/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 25/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 25/30: test accuracy: 94.4% ± 1.0%\n", - "Epoch 26/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 26/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 27/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 27/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 28/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 28/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 29/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 29/30: test accuracy: 94.4% ± 1.0%\n", - "Epoch 30/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 30/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 1/30: train accuracy: 89.8% ± 1.3%\n", - "Epoch 1/30: test accuracy: 92.0% ± 1.2%\n", - "Epoch 2/30: train accuracy: 91.1% ± 1.2%\n", - "Epoch 2/30: test accuracy: 92.5% ± 1.2%\n", - "Epoch 3/30: train accuracy: 91.7% ± 1.2%\n", - "Epoch 3/30: test accuracy: 92.7% ± 1.1%\n", - "Epoch 4/30: train accuracy: 92.4% ± 1.2%\n", - "Epoch 4/30: test accuracy: 93.0% ± 1.1%\n", - "Epoch 5/30: train accuracy: 92.8% ± 1.1%\n", - "Epoch 5/30: test accuracy: 93.4% ± 1.1%\n", - "Epoch 6/30: train accuracy: 93.0% ± 1.1%\n", - "Epoch 6/30: test accuracy: 93.8% ± 1.1%\n", - "Epoch 7/30: train accuracy: 93.3% ± 1.1%\n", - "Epoch 7/30: test accuracy: 94.1% ± 1.0%\n", - "Epoch 8/30: train accuracy: 93.6% ± 1.1%\n", - "Epoch 8/30: test accuracy: 94.2% ± 1.0%\n", - "Epoch 9/30: train accuracy: 93.7% ± 1.1%\n", - "Epoch 9/30: test accuracy: 94.3% ± 1.0%\n", - "Epoch 10/30: train accuracy: 93.8% ± 1.1%\n", - "Epoch 10/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 11/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 11/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 12/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 12/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 13/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 13/30: test accuracy: 94.8% ± 1.0%\n", - "Epoch 14/30: train accuracy: 94.1% ± 1.0%\n", - "Epoch 14/30: test accuracy: 94.7% ± 1.0%\n", - "Epoch 15/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 15/30: test accuracy: 94.6% ± 1.0%\n", - "Epoch 16/30: train accuracy: 94.1% ± 1.0%\n", - "Epoch 16/30: test accuracy: 94.7% ± 1.0%\n", - "Epoch 17/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 17/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 18/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 18/30: test accuracy: 94.6% ± 1.0%\n", - "Epoch 19/30: train accuracy: 94.1% ± 1.0%\n", - "Epoch 19/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 20/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 20/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 21/30: train accuracy: 94.1% ± 1.0%\n", - "Epoch 21/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 22/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 22/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 23/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 23/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 24/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 24/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 25/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 25/30: test accuracy: 94.4% ± 1.0%\n", - "Epoch 26/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 26/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 27/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 27/30: test accuracy: 94.3% ± 1.0%\n", - "Epoch 28/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 28/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 29/30: train accuracy: 94.0% ± 1.0%\n", - "Epoch 29/30: test accuracy: 94.5% ± 1.0%\n", - "Epoch 30/30: train accuracy: 93.9% ± 1.0%\n", - "Epoch 30/30: test accuracy: 94.5% ± 1.0%\n" + "Epoch 1/30: train accuracy: 87.6% ± 2.5%\n", + "Epoch 1/30: test accuracy: 88.4% ± 2.4%\n", + "Epoch 2/30: train accuracy: 88.0% ± 2.5%\n", + "Epoch 2/30: test accuracy: 88.8% ± 2.4%\n", + "Epoch 3/30: train accuracy: 89.4% ± 2.3%\n", + "Epoch 3/30: test accuracy: 88.7% ± 2.4%\n", + "Epoch 4/30: train accuracy: 89.8% ± 2.3%\n", + "Epoch 4/30: test accuracy: 88.4% ± 2.4%\n", + "Epoch 5/30: train accuracy: 90.4% ± 2.2%\n", + "Epoch 5/30: test accuracy: 88.5% ± 2.4%\n", + "Epoch 6/30: train accuracy: 90.6% ± 2.2%\n", + "Epoch 6/30: test accuracy: 88.8% ± 2.4%\n", + "Epoch 7/30: train accuracy: 90.9% ± 2.2%\n", + "Epoch 7/30: test accuracy: 89.1% ± 2.4%\n", + "Epoch 8/30: train accuracy: 91.3% ± 2.1%\n", + "Epoch 8/30: test accuracy: 89.3% ± 2.3%\n", + "Epoch 9/30: train accuracy: 91.3% ± 2.1%\n", + "Epoch 9/30: test accuracy: 89.6% ± 2.3%\n", + "Epoch 10/30: train accuracy: 91.6% ± 2.1%\n", + "Epoch 10/30: test accuracy: 89.6% ± 2.3%\n", + "Epoch 11/30: train accuracy: 91.8% ± 2.1%\n", + "Epoch 11/30: test accuracy: 89.9% ± 2.3%\n", + "Epoch 12/30: train accuracy: 92.1% ± 2.0%\n", + "Epoch 12/30: test accuracy: 90.0% ± 2.3%\n", + "Epoch 13/30: train accuracy: 92.4% ± 2.0%\n", + "Epoch 13/30: test accuracy: 90.3% ± 2.2%\n", + "Epoch 14/30: train accuracy: 92.4% ± 2.0%\n", + "Epoch 14/30: test accuracy: 90.3% ± 2.2%\n", + "Epoch 15/30: train accuracy: 92.7% ± 2.0%\n", + "Epoch 15/30: test accuracy: 90.4% ± 2.2%\n", + "Epoch 16/30: train accuracy: 92.7% ± 2.0%\n", + "Epoch 16/30: test accuracy: 90.6% ± 2.2%\n", + "Epoch 17/30: train accuracy: 92.5% ± 2.0%\n", + "Epoch 17/30: test accuracy: 90.9% ± 2.2%\n", + "Epoch 18/30: train accuracy: 92.7% ± 2.0%\n", + "Epoch 18/30: test accuracy: 91.3% ± 2.1%\n", + "Epoch 19/30: train accuracy: 92.8% ± 2.0%\n", + "Epoch 19/30: test accuracy: 91.5% ± 2.1%\n", + "Epoch 20/30: train accuracy: 93.0% ± 1.9%\n", + "Epoch 20/30: test accuracy: 91.6% ± 2.1%\n", + "Epoch 21/30: train accuracy: 93.3% ± 1.9%\n", + "Epoch 21/30: test accuracy: 91.6% ± 2.1%\n", + "Epoch 22/30: train accuracy: 93.3% ± 1.9%\n", + "Epoch 22/30: test accuracy: 91.6% ± 2.1%\n", + "Epoch 23/30: train accuracy: 93.4% ± 1.9%\n", + "Epoch 23/30: test accuracy: 91.8% ± 2.1%\n", + "Epoch 24/30: train accuracy: 93.6% ± 1.9%\n", + "Epoch 24/30: test accuracy: 91.8% ± 2.1%\n", + "Epoch 25/30: train accuracy: 93.6% ± 1.9%\n", + "Epoch 25/30: test accuracy: 91.8% ± 2.1%\n", + "Epoch 26/30: train accuracy: 93.6% ± 1.9%\n", + "Epoch 26/30: test accuracy: 92.1% ± 2.0%\n", + "Epoch 27/30: train accuracy: 93.7% ± 1.8%\n", + "Epoch 27/30: test accuracy: 92.2% ± 2.0%\n", + "Epoch 28/30: train accuracy: 93.7% ± 1.8%\n", + "Epoch 28/30: test accuracy: 92.2% ± 2.0%\n", + "Epoch 29/30: train accuracy: 93.9% ± 1.8%\n", + "Epoch 29/30: test accuracy: 92.2% ± 2.0%\n", + "Epoch 30/30: train accuracy: 93.9% ± 1.8%\n", + "Epoch 30/30: test accuracy: 92.4% ± 2.0%\n", + "Epoch 1/30: train accuracy: 88.0% ± 2.5%\n", + "Epoch 1/30: test accuracy: 88.7% ± 2.4%\n", + "Epoch 2/30: train accuracy: 88.8% ± 2.4%\n", + "Epoch 2/30: test accuracy: 88.7% ± 2.4%\n", + "Epoch 3/30: train accuracy: 89.5% ± 2.3%\n", + "Epoch 3/30: test accuracy: 89.3% ± 2.3%\n", + "Epoch 4/30: train accuracy: 89.8% ± 2.3%\n", + "Epoch 4/30: test accuracy: 88.8% ± 2.4%\n", + "Epoch 5/30: train accuracy: 90.1% ± 2.3%\n", + "Epoch 5/30: test accuracy: 89.1% ± 2.4%\n", + "Epoch 6/30: train accuracy: 90.4% ± 2.2%\n", + "Epoch 6/30: test accuracy: 89.3% ± 2.3%\n", + "Epoch 7/30: train accuracy: 91.0% ± 2.2%\n", + "Epoch 7/30: test accuracy: 89.6% ± 2.3%\n", + "Epoch 8/30: train accuracy: 91.3% ± 2.1%\n", + "Epoch 8/30: test accuracy: 90.0% ± 2.3%\n", + "Epoch 9/30: train accuracy: 91.5% ± 2.1%\n", + "Epoch 9/30: test accuracy: 90.3% ± 2.2%\n", + "Epoch 10/30: train accuracy: 91.6% ± 2.1%\n", + "Epoch 10/30: test accuracy: 90.4% ± 2.2%\n", + "Epoch 11/30: train accuracy: 91.9% ± 2.1%\n", + "Epoch 11/30: test accuracy: 90.6% ± 2.2%\n", + "Epoch 12/30: train accuracy: 91.9% ± 2.1%\n", + "Epoch 12/30: test accuracy: 90.7% ± 2.2%\n", + "Epoch 13/30: train accuracy: 91.9% ± 2.1%\n", + "Epoch 13/30: test accuracy: 90.7% ± 2.2%\n", + "Epoch 14/30: train accuracy: 92.1% ± 2.0%\n", + "Epoch 14/30: test accuracy: 90.9% ± 2.2%\n", + "Epoch 15/30: train accuracy: 92.2% ± 2.0%\n", + "Epoch 15/30: test accuracy: 91.0% ± 2.2%\n", + "Epoch 16/30: train accuracy: 92.5% ± 2.0%\n", + "Epoch 16/30: test accuracy: 91.5% ± 2.1%\n", + "Epoch 17/30: train accuracy: 92.8% ± 2.0%\n", + "Epoch 17/30: test accuracy: 91.6% ± 2.1%\n", + "Epoch 18/30: train accuracy: 93.0% ± 1.9%\n", + "Epoch 18/30: test accuracy: 91.8% ± 2.1%\n", + "Epoch 19/30: train accuracy: 93.1% ± 1.9%\n", + "Epoch 19/30: test accuracy: 91.9% ± 2.1%\n", + "Epoch 20/30: train accuracy: 93.1% ± 1.9%\n", + "Epoch 20/30: test accuracy: 91.9% ± 2.1%\n", + "Epoch 21/30: train accuracy: 93.3% ± 1.9%\n", + "Epoch 21/30: test accuracy: 92.1% ± 2.0%\n", + "Epoch 22/30: train accuracy: 93.4% ± 1.9%\n", + "Epoch 22/30: test accuracy: 92.4% ± 2.0%\n", + "Epoch 23/30: train accuracy: 93.6% ± 1.9%\n", + "Epoch 23/30: test accuracy: 92.7% ± 2.0%\n", + "Epoch 24/30: train accuracy: 93.7% ± 1.8%\n", + "Epoch 24/30: test accuracy: 92.7% ± 2.0%\n", + "Epoch 25/30: train accuracy: 93.9% ± 1.8%\n", + "Epoch 25/30: test accuracy: 93.0% ± 1.9%\n", + "Epoch 26/30: train accuracy: 93.9% ± 1.8%\n", + "Epoch 26/30: test accuracy: 93.0% ± 1.9%\n", + "Epoch 27/30: train accuracy: 93.9% ± 1.8%\n", + "Epoch 27/30: test accuracy: 93.1% ± 1.9%\n", + "Epoch 28/30: train accuracy: 94.0% ± 1.8%\n", + "Epoch 28/30: test accuracy: 93.0% ± 1.9%\n", + "Epoch 29/30: train accuracy: 94.2% ± 1.8%\n", + "Epoch 29/30: test accuracy: 93.0% ± 1.9%\n", + "Epoch 30/30: train accuracy: 94.3% ± 1.8%\n", + "Epoch 30/30: test accuracy: 93.0% ± 1.9%\n", + "Epoch 1/30: train accuracy: 87.1% ± 2.5%\n", + "Epoch 1/30: test accuracy: 88.1% ± 2.5%\n", + "Epoch 2/30: train accuracy: 88.6% ± 2.4%\n", + "Epoch 2/30: test accuracy: 88.2% ± 2.4%\n", + "Epoch 3/30: train accuracy: 89.4% ± 2.3%\n", + "Epoch 3/30: test accuracy: 89.0% ± 2.4%\n", + "Epoch 4/30: train accuracy: 90.3% ± 2.2%\n", + "Epoch 4/30: test accuracy: 89.3% ± 2.3%\n", + "Epoch 5/30: train accuracy: 90.4% ± 2.2%\n", + "Epoch 5/30: test accuracy: 89.4% ± 2.3%\n", + "Epoch 6/30: train accuracy: 91.0% ± 2.2%\n", + "Epoch 6/30: test accuracy: 89.9% ± 2.3%\n", + "Epoch 7/30: train accuracy: 91.5% ± 2.1%\n", + "Epoch 7/30: test accuracy: 90.1% ± 2.3%\n", + "Epoch 8/30: train accuracy: 91.6% ± 2.1%\n", + "Epoch 8/30: test accuracy: 90.4% ± 2.2%\n", + "Epoch 9/30: train accuracy: 91.9% ± 2.1%\n", + "Epoch 9/30: test accuracy: 90.7% ± 2.2%\n", + "Epoch 10/30: train accuracy: 92.2% ± 2.0%\n", + "Epoch 10/30: test accuracy: 90.9% ± 2.2%\n", + "Epoch 11/30: train accuracy: 92.4% ± 2.0%\n", + "Epoch 11/30: test accuracy: 91.2% ± 2.1%\n", + "Epoch 12/30: train accuracy: 92.5% ± 2.0%\n", + "Epoch 12/30: test accuracy: 91.2% ± 2.1%\n", + "Epoch 13/30: train accuracy: 92.7% ± 2.0%\n", + "Epoch 13/30: test accuracy: 91.3% ± 2.1%\n", + "Epoch 14/30: train accuracy: 92.8% ± 2.0%\n", + "Epoch 14/30: test accuracy: 91.5% ± 2.1%\n", + "Epoch 15/30: train accuracy: 93.1% ± 1.9%\n", + "Epoch 15/30: test accuracy: 91.8% ± 2.1%\n", + "Epoch 16/30: train accuracy: 93.3% ± 1.9%\n", + "Epoch 16/30: test accuracy: 91.6% ± 2.1%\n", + "Epoch 17/30: train accuracy: 93.4% ± 1.9%\n", + "Epoch 17/30: test accuracy: 91.9% ± 2.1%\n", + "Epoch 18/30: train accuracy: 93.6% ± 1.9%\n", + "Epoch 18/30: test accuracy: 92.1% ± 2.0%\n", + "Epoch 19/30: train accuracy: 93.9% ± 1.8%\n", + "Epoch 19/30: test accuracy: 92.1% ± 2.0%\n", + "Epoch 20/30: train accuracy: 94.0% ± 1.8%\n", + "Epoch 20/30: test accuracy: 92.2% ± 2.0%\n", + "Epoch 21/30: train accuracy: 94.0% ± 1.8%\n", + "Epoch 21/30: test accuracy: 92.2% ± 2.0%\n", + "Epoch 22/30: train accuracy: 94.0% ± 1.8%\n", + "Epoch 22/30: test accuracy: 92.5% ± 2.0%\n", + "Epoch 23/30: train accuracy: 94.2% ± 1.8%\n", + "Epoch 23/30: test accuracy: 92.5% ± 2.0%\n", + "Epoch 24/30: train accuracy: 94.2% ± 1.8%\n", + "Epoch 24/30: test accuracy: 92.5% ± 2.0%\n", + "Epoch 25/30: train accuracy: 94.3% ± 1.8%\n", + "Epoch 25/30: test accuracy: 92.7% ± 2.0%\n", + "Epoch 26/30: train accuracy: 94.5% ± 1.7%\n", + "Epoch 26/30: test accuracy: 92.7% ± 2.0%\n", + "Epoch 27/30: train accuracy: 94.5% ± 1.7%\n", + "Epoch 27/30: test accuracy: 92.8% ± 2.0%\n", + "Epoch 28/30: train accuracy: 94.5% ± 1.7%\n", + "Epoch 28/30: test accuracy: 93.0% ± 1.9%\n", + "Epoch 29/30: train accuracy: 94.5% ± 1.7%\n", + "Epoch 29/30: test accuracy: 93.0% ± 1.9%\n", + "Epoch 30/30: train accuracy: 94.6% ± 1.7%\n", + "Epoch 30/30: test accuracy: 93.1% ± 1.9%\n" ] } ], @@ -5821,14 +5851,14 @@ " learning_rate=learning_rate,\n", " max_epochs=max_epochs,\n", " dropout_fraction=dropout_fraction,\n", - " save_results=False\n", + " save_results=False,\n", " )\n", " results.append(result)\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": { "id": "PoTZWC1SpgkS", "outputId": "207360e5-fd07-4180-a143-0ec5dd27ffe1" @@ -5994,7 +6024,7 @@ 0.2 ] ], - "hovertemplate": "type=train
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1235918105
epoch=%{x}
loss=%{y}
dropout_fraction=%{customdata[2]}", + "hovertemplate": "type=train
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1966966104
epoch=%{x}
loss=%{y}
dropout_fraction=%{customdata[2]}", "legendgroup": "train", "line": { "color": "#636efa", @@ -6042,36 +6072,36 @@ ], "xaxis": "x7", "y": [ - 0.8752098083496094, - 0.8111512064933777, - 0.8045997619628906, - 0.6814097166061401, - 0.7244662046432495, - 0.654396653175354, - 0.7158231735229492, - 0.60301673412323, - 0.8579185605049133, - 0.7823032140731812, - 0.6988246440887451, - 0.6268879175186157, - 0.7695052623748779, - 0.7785537242889404, - 0.7192729711532593, - 0.7319465279579163, - 0.6501322984695435, - 0.6887680292129517, - 0.5308414101600647, - 0.6563971638679504, - 0.832607626914978, - 0.6141974329948425, - 0.7861021161079407, - 0.3763020634651184, - 0.6403546333312988, - 0.6385329961776733, - 0.6266233325004578, - 0.5444704294204712, - 0.803198516368866, - 0.8094643354415894 + 1.5030940771102905, + 0.8207949995994568, + 0.8773147463798523, + 0.8613348603248596, + 0.6944154500961304, + 0.6347973346710205, + 0.702663004398346, + 0.6778457164764404, + 0.7463836073875427, + 0.70860755443573, + 0.829717755317688, + 0.8753337264060974, + 0.9517255425453186, + 0.745735764503479, + 0.8445643186569214, + 0.6972991824150085, + 0.7754084467887878, + 0.8590495586395264, + 0.7757335901260376, + 0.8903113007545471, + 0.7940390110015869, + 0.7357985973358154, + 0.7940884828567505, + 0.7627162933349609, + 0.6855032444000244, + 0.9467343091964722, + 0.7323927879333496, + 0.7784497737884521, + 0.6060311794281006, + 0.5107579231262207 ], "yaxis": "y7" }, @@ -6228,7 +6258,7 @@ 0.2 ] ], - "hovertemplate": "type=train
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1453565130
epoch=%{x}
loss=%{y}
dropout_fraction=%{customdata[2]}", + "hovertemplate": "type=train
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1295327779
epoch=%{x}
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learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1192408106
epoch=%{x}
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dropout_fraction=%{customdata[2]}", + "hovertemplate": "type=train
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=2104013193
epoch=%{x}
loss=%{y}
dropout_fraction=%{customdata[2]}", "legendgroup": "train", "line": { "color": "#636efa", @@ -6510,36 +6540,36 @@ ], "xaxis": "x3", "y": [ - 1.057761788368225, - 0.7889353036880493, - 0.7662376761436462, - 0.7793267369270325, - 0.7614614367485046, - 0.7517197132110596, - 0.752865731716156, - 0.7440145611763, - 0.7370209097862244, - 0.7260904312133789, - 0.7387098073959351, - 0.7264154553413391, - 0.7283938527107239, - 0.7232958078384399, - 0.7204722762107849, - 0.7225043773651123, - 0.7206780910491943, - 0.701306939125061, - 0.7132549285888672, - 0.6991444826126099, - 0.7022733092308044, - 0.6998502612113953, - 0.6983294486999512, - 0.6692309379577637, - 0.6924417018890381, - 0.6973738074302673, - 0.6858358383178711, - 0.6686532497406006, - 0.6827566027641296, - 0.6879485845565796 + 1.2908055782318115, + 1.0658448934555054, + 0.8479723930358887, + 0.7903857827186584, + 0.7801042199134827, + 0.775238573551178, + 0.7691900730133057, + 0.7682435512542725, + 0.765575647354126, + 0.7624145150184631, + 0.7591218948364258, + 0.7522261142730713, + 0.7516769766807556, + 0.7472819685935974, + 0.7461873292922974, + 0.741317629814148, + 0.7395408153533936, + 0.7369651794433594, + 0.735289990901947, + 0.7335363030433655, + 0.7322248220443726, + 0.7293906211853027, + 0.7247920036315918, + 0.7275153398513794, + 0.7206876873970032, + 0.7157735824584961, + 0.7161506414413452, + 0.7103999257087708, + 0.7092854380607605, + 0.712189793586731 ], "yaxis": "y3" }, @@ -6696,7 +6726,7 @@ 0.2 ] ], - "hovertemplate": "type=test
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1235918105
epoch=%{x}
loss=%{y}
dropout_fraction=%{customdata[2]}", + "hovertemplate": "type=test
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1966966104
epoch=%{x}
loss=%{y}
dropout_fraction=%{customdata[2]}", "legendgroup": "test", "line": { "color": "#EF553B", @@ -6744,36 +6774,36 @@ ], "xaxis": "x7", "y": [ - 0.8529921174049377, - 0.7735385298728943, - 0.766411304473877, - 0.7610315084457397, - 0.7531112432479858, - 0.7482106685638428, - 0.745144248008728, - 0.7423331141471863, - 0.7366483807563782, - 0.731307864189148, - 0.7320063710212708, - 0.7254921793937683, - 0.7189522385597229, - 0.719982922077179, - 0.7154057025909424, - 0.7117088437080383, - 0.7099972367286682, - 0.7059959173202515, - 0.7037109136581421, - 0.7020075917243958, - 0.6986343264579773, - 0.695629358291626, - 0.6924094557762146, - 0.6923645734786987, - 0.6879932880401611, - 0.6884063482284546, - 0.6840173006057739, - 0.6833314895629883, - 0.6810442209243774, - 0.6802780628204346 + 1.1806079149246216, + 1.0105031728744507, + 0.8882337808609009, + 0.8209589719772339, + 0.7949825525283813, + 0.7838609218597412, + 0.7761262655258179, + 0.773082435131073, + 0.7749849557876587, + 0.7681840062141418, + 0.7599595785140991, + 0.7643077969551086, + 0.7606286406517029, + 0.7596479654312134, + 0.7551064491271973, + 0.756072461605072, + 0.7553612589836121, + 0.753299355506897, + 0.7488323450088501, + 0.7476798295974731, + 0.7407615780830383, + 0.7410925030708313, + 0.7392419576644897, + 0.7380637526512146, + 0.7404897212982178, + 0.7336447834968567, + 0.7395608425140381, + 0.7306341528892517, + 0.7296173572540283, + 0.7306488156318665 ], "yaxis": "y7" }, @@ -6930,7 +6960,7 @@ 0.2 ] ], - "hovertemplate": "type=test
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1453565130
epoch=%{x}
loss=%{y}
dropout_fraction=%{customdata[2]}", + "hovertemplate": "type=test
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1295327779
epoch=%{x}
loss=%{y}
dropout_fraction=%{customdata[2]}", "legendgroup": "test", "line": { "color": "#EF553B", @@ -6978,36 +7008,36 @@ ], "xaxis": "x5", "y": [ - 0.8546406030654907, - 0.7756075859069824, - 0.7654449939727783, - 0.7562645077705383, - 0.7524689435958862, - 0.7502551674842834, - 0.7437863945960999, - 0.7417890429496765, - 0.7345554828643799, - 0.7296847105026245, - 0.7298382520675659, - 0.7239859104156494, - 0.7186493277549744, - 0.7199806571006775, - 0.7138548493385315, - 0.7081822156906128, - 0.7079757452011108, - 0.7020074725151062, - 0.701033890247345, - 0.7000135183334351, - 0.6969002485275269, - 0.6950446367263794, - 0.6938855051994324, - 0.689642071723938, - 0.6858862042427063, - 0.6852315664291382, - 0.685377836227417, - 0.6782873868942261, - 0.680194079875946, - 0.6774910688400269 + 1.138457179069519, + 0.9624069929122925, + 0.854874312877655, + 0.8080407977104187, + 0.7818027138710022, + 0.7792102694511414, + 0.774451732635498, + 0.7670709490776062, + 0.7700219750404358, + 0.7601531147956848, + 0.7579351663589478, + 0.7570049166679382, + 0.7558397650718689, + 0.7539790868759155, + 0.7552328109741211, + 0.7481580972671509, + 0.7525877952575684, + 0.7411936521530151, + 0.7430469989776611, + 0.7382174134254456, + 0.735832691192627, + 0.7340396642684937, + 0.735627293586731, + 0.735277533531189, + 0.734030544757843, + 0.7297038435935974, + 0.7263182401657104, + 0.7299252152442932, + 0.72670578956604, + 0.7222384810447693 ], "yaxis": "y5" }, @@ -7164,7 +7194,7 @@ 0.2 ] ], - "hovertemplate": "type=test
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run_id=1192408106
epoch=%{x}
loss=%{y}
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run_id=2104013193
epoch=%{x}
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learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1235918105
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", + "hovertemplate": "type=train
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1966966104
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", "legendgroup": "train", "line": { "color": "#636efa", @@ -8531,36 +8561,36 @@ ], "xaxis": "x7", "y": [ - 0.897, - 0.9095, - 0.9155, - 0.92, - 0.9265, - 0.9285, - 0.93, - 0.9325, - 0.9325, - 0.9355, - 0.9365, - 0.9375, - 0.9365, - 0.9375, - 0.9385, - 0.9385, - 0.9395, - 0.939, - 0.9385, - 0.937, - 0.939, - 0.9395, - 0.939, - 0.939, - 0.9385, - 0.9395, - 0.94, - 0.9405, - 0.9385, - 0.94 + 0.875748502994012, + 0.8802395209580839, + 0.8937125748502994, + 0.8982035928143712, + 0.9041916167664671, + 0.905688622754491, + 0.9086826347305389, + 0.9131736526946108, + 0.9131736526946108, + 0.9161676646706587, + 0.9176646706586826, + 0.9206586826347305, + 0.9236526946107785, + 0.9236526946107785, + 0.9266467065868264, + 0.9266467065868264, + 0.9251497005988024, + 0.9266467065868264, + 0.9281437125748503, + 0.9296407185628742, + 0.9326347305389222, + 0.9326347305389222, + 0.9341317365269461, + 0.9356287425149701, + 0.9356287425149701, + 0.9356287425149701, + 0.937125748502994, + 0.937125748502994, + 0.938622754491018, + 0.938622754491018 ], "yaxis": "y7" }, @@ -8717,7 +8747,7 @@ 0.2 ] ], - "hovertemplate": "type=train
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1453565130
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", + "hovertemplate": "type=train
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1295327779
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", "legendgroup": "train", "line": { "color": "#636efa", @@ -8765,36 +8795,36 @@ ], "xaxis": "x5", "y": [ - 0.899, - 0.911, - 0.9185, - 0.923, - 0.9275, - 0.9305, - 0.9325, - 0.935, - 0.937, - 0.9365, - 0.9375, - 0.938, - 0.939, - 0.9395, - 0.9395, - 0.9395, - 0.9405, - 0.9395, - 0.9405, - 0.9405, - 0.94, - 0.94, - 0.939, - 0.939, - 0.939, - 0.939, - 0.939, - 0.9375, - 0.938, - 0.9385 + 0.8802395209580839, + 0.8877245508982036, + 0.8952095808383234, + 0.8982035928143712, + 0.9011976047904192, + 0.9041916167664671, + 0.9101796407185628, + 0.9131736526946108, + 0.9146706586826348, + 0.9161676646706587, + 0.9191616766467066, + 0.9191616766467066, + 0.9191616766467066, + 0.9206586826347305, + 0.9221556886227545, + 0.9251497005988024, + 0.9281437125748503, + 0.9296407185628742, + 0.9311377245508982, + 0.9311377245508982, + 0.9326347305389222, + 0.9341317365269461, + 0.9356287425149701, + 0.937125748502994, + 0.938622754491018, + 0.938622754491018, + 0.938622754491018, + 0.9401197604790419, + 0.9416167664670658, + 0.9431137724550899 ], "yaxis": "y5" }, @@ -8951,7 +8981,7 @@ 0.2 ] ], - "hovertemplate": "type=train
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1192408106
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", + "hovertemplate": "type=train
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=2104013193
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", "legendgroup": "train", "line": { "color": "#636efa", @@ -8999,36 +9029,36 @@ ], "xaxis": "x3", "y": [ - 0.8985, - 0.911, - 0.917, - 0.924, - 0.928, - 0.9305, - 0.9335, - 0.936, - 0.937, - 0.9375, - 0.939, - 0.94, - 0.9405, - 0.941, - 0.94, - 0.941, - 0.94, - 0.9395, - 0.941, - 0.9405, - 0.941, - 0.9405, - 0.9395, - 0.9405, - 0.94, - 0.9395, - 0.9395, - 0.94, - 0.9405, - 0.939 + 0.8712574850299402, + 0.8862275449101796, + 0.8937125748502994, + 0.9026946107784432, + 0.9041916167664671, + 0.9101796407185628, + 0.9146706586826348, + 0.9161676646706587, + 0.9191616766467066, + 0.9221556886227545, + 0.9236526946107785, + 0.9251497005988024, + 0.9266467065868264, + 0.9281437125748503, + 0.9311377245508982, + 0.9326347305389222, + 0.9341317365269461, + 0.9356287425149701, + 0.938622754491018, + 0.9401197604790419, + 0.9401197604790419, + 0.9401197604790419, + 0.9416167664670658, + 0.9416167664670658, + 0.9431137724550899, + 0.9446107784431138, + 0.9446107784431138, + 0.9446107784431138, + 0.9446107784431138, + 0.9461077844311377 ], "yaxis": "y3" }, @@ -9185,7 +9215,7 @@ 0.2 ] ], - "hovertemplate": "type=test
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1235918105
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", + "hovertemplate": "type=test
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1966966104
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", "legendgroup": "test", "line": { "color": "#EF553B", @@ -9233,36 +9263,36 @@ ], "xaxis": "x7", "y": [ - 0.9175, - 0.9235, - 0.93, - 0.9325, - 0.9365, - 0.9395, - 0.9425, - 0.945, - 0.945, - 0.946, - 0.9465, - 0.9475, - 0.9475, - 0.9475, - 0.947, - 0.9485, - 0.9475, - 0.947, - 0.9475, - 0.9475, - 0.948, - 0.9465, - 0.947, - 0.9465, - 0.946, - 0.9465, - 0.946, - 0.946, - 0.9455, - 0.9455 + 0.8835820895522388, + 0.8880597014925373, + 0.8865671641791045, + 0.8835820895522388, + 0.8850746268656716, + 0.8880597014925373, + 0.891044776119403, + 0.8925373134328358, + 0.8955223880597015, + 0.8955223880597015, + 0.8985074626865671, + 0.9, + 0.9029850746268657, + 0.9029850746268657, + 0.9044776119402985, + 0.9059701492537313, + 0.908955223880597, + 0.9134328358208955, + 0.9149253731343283, + 0.9164179104477612, + 0.9164179104477612, + 0.9164179104477612, + 0.917910447761194, + 0.917910447761194, + 0.917910447761194, + 0.9208955223880597, + 0.9223880597014925, + 0.9223880597014925, + 0.9223880597014925, + 0.9238805970149254 ], "yaxis": "y7" }, @@ -9419,7 +9449,7 @@ 0.2 ] ], - "hovertemplate": "type=test
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1453565130
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", + "hovertemplate": "type=test
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1295327779
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", "legendgroup": "test", "line": { "color": "#EF553B", @@ -9467,36 +9497,36 @@ ], "xaxis": "x5", "y": [ - 0.9175, - 0.923, - 0.9275, - 0.932, - 0.9345, - 0.937, - 0.94, - 0.941, - 0.943, - 0.9445, - 0.9445, - 0.9445, - 0.945, - 0.9445, - 0.9445, - 0.9455, - 0.945, - 0.945, - 0.9455, - 0.9445, - 0.944, - 0.945, - 0.945, - 0.9455, - 0.944, - 0.9445, - 0.9445, - 0.945, - 0.944, - 0.945 + 0.8865671641791045, + 0.8865671641791045, + 0.8925373134328358, + 0.8880597014925373, + 0.891044776119403, + 0.8925373134328358, + 0.8955223880597015, + 0.9, + 0.9029850746268657, + 0.9044776119402985, + 0.9059701492537313, + 0.9074626865671642, + 0.9074626865671642, + 0.908955223880597, + 0.9104477611940298, + 0.9149253731343283, + 0.9164179104477612, + 0.917910447761194, + 0.9194029850746268, + 0.9194029850746268, + 0.9208955223880597, + 0.9238805970149254, + 0.926865671641791, + 0.926865671641791, + 0.9298507462686567, + 0.9298507462686567, + 0.9313432835820895, + 0.9298507462686567, + 0.9298507462686567, + 0.9298507462686567 ], "yaxis": "y5" }, @@ -9653,7 +9683,7 @@ 0.2 ] ], - "hovertemplate": "type=test
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=1192408106
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", + "hovertemplate": "type=test
learning_rate=%{customdata[1]}
batch_size=%{customdata[0]}
run_id=2104013193
epoch=%{x}
accuracy=%{y}
dropout_fraction=%{customdata[2]}", "legendgroup": "test", "line": { "color": "#EF553B", @@ -9701,36 +9731,36 @@ ], "xaxis": "x3", "y": [ - 0.9195, - 0.9245, - 0.927, - 0.9305, - 0.934, - 0.938, - 0.941, - 0.942, - 0.943, - 0.9445, - 0.945, - 0.9455, - 0.9475, - 0.9465, - 0.946, - 0.9465, - 0.945, - 0.946, - 0.9455, - 0.9455, - 0.945, - 0.9445, - 0.945, - 0.945, - 0.944, - 0.9445, - 0.9435, - 0.945, - 0.9455, - 0.945 + 0.8805970149253731, + 0.8820895522388059, + 0.8895522388059701, + 0.8925373134328358, + 0.8940298507462686, + 0.8985074626865671, + 0.9014925373134328, + 0.9044776119402985, + 0.9074626865671642, + 0.908955223880597, + 0.9119402985074627, + 0.9119402985074627, + 0.9134328358208955, + 0.9149253731343283, + 0.917910447761194, + 0.9164179104477612, + 0.9194029850746268, + 0.9208955223880597, + 0.9208955223880597, + 0.9223880597014925, + 0.9223880597014925, + 0.9253731343283582, + 0.9253731343283582, + 0.9253731343283582, + 0.926865671641791, + 0.926865671641791, + 0.9283582089552239, + 0.9298507462686567, + 0.9298507462686567, + 0.9313432835820895 ], "yaxis": "y3" } @@ -10819,7 +10849,7 @@ "# plot training loss and test loss over time\n", "px.line(\n", " runs_df,\n", - " line_group = \"run_id\",\n", + " line_group=\"run_id\",\n", " x=\"epoch\",\n", " y=\"loss\",\n", " color=\"type\",\n", @@ -10828,1087 +10858,65 @@ " facet_col=\"batch_size\",\n", " width=500,\n", ").show()\n", - "\n", - "# plot accuracy over time\n", - "px.line(\n", - " runs_df,\n", - " line_group = \"run_id\",\n", - " x=\"epoch\",\n", - " y=\"accuracy\",\n", - " color=\"type\",\n", - " hover_data=[\"batch_size\", \"learning_rate\", \"dropout_fraction\"],\n", - " facet_row=\"learning_rate\",\n", - " facet_col=\"batch_size\",\n", - " width=500,\n", - ").show()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "MiBQDcMPpgkS" - }, - "source": [ - "## 8. Plot the before & after, showing the results of the best matrix found during training\n", - "\n", - "The better the matrix is, the more cleanly it will separate the similar and dissimilar pairs." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "hzjoyLDOpgkS" - }, - "outputs": [], - "source": [ - "# apply result of best run to original data\n", - "best_run = runs_df.sort_values(by='accuracy', ascending=False).iloc[0]\n", - "best_matrix = best_run['matrix']\n", - "apply_matrix_to_embeddings_dataframe(best_matrix, df)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "nLnvABnXpgkS", - "outputId": "0c070faa-6e3e-4765-b082-565c72a609be" - }, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "alignmentgroup": "True", - "bingroup": "x", - "hovertemplate": "label=1
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Plot the before & after, showing the results of the best matrix found during training\n", + "\n", + "The better the matrix is, the more cleanly it will separate the similar and dissimilar pairs." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "id": "hzjoyLDOpgkS" + }, + "outputs": [], + "source": [ + "# apply result of best run to original data\n", + "best_run = runs_df.sort_values(by=\"accuracy\", ascending=False).iloc[0]\n", + "best_matrix = best_run[\"matrix\"]\n", + "apply_matrix_to_embeddings_dataframe(best_matrix, df)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "id": "nLnvABnXpgkS", + "outputId": "0c070faa-6e3e-4765-b082-565c72a609be" + }, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "config": { + "plotlyServerURL": "https://plot.ly" + }, + "data": [ { "alignmentgroup": "True", "bingroup": "x", - "hovertemplate": "label=1
dataset=test
cosine_similarity=%{x}
count=%{y}", + "hovertemplate": "label=1
dataset=train
cosine_similarity=%{x}
count=%{y}", "legendgroup": "1", "marker": { "color": "#636efa", @@ -11920,1009 +10928,700 @@ "name": "1", "offsetgroup": "1", "orientation": "v", - "showlegend": false, + "showlegend": true, "type": "histogram", "x": [ - 0.736549832708439, - 0.8645876772131509, - 0.9054108720940012, - 0.8231748586451884, - 0.7680653089711912, - 0.9106863309457174, - 0.8718047310932011, - 0.9126582215678652, - 0.8164052526562986, - 0.8964005890099545, - 0.8568193403812259, - 0.8865148834725959, - 0.9705705749195805, - 0.842790078535525, - 0.8812980729254659, - 0.8366005079723752, - 0.803191420389906, - 0.9565597072685753, - 0.9443332827726031, - 0.9461393747874567, - 0.8214254014094476, - 0.9676416987317068, - 0.8658529346127901, - 0.8596586631123377, - 0.774265719975256, - 0.9352146634904204, - 0.9446884675958164, - 0.9488036099024498, - 0.9581833546207474, - 0.8395143643686034, - 0.9317854663213888, - 0.833923001218979, - 0.7526818877630027, - 0.9591203832827713, - 0.8963131006764372, - 0.9674015262743842, - 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-0.008636702, + -0.10544233, + 0.36299005, + -0.2537855, + -0.094328806, + -0.16789453, + -0.04827591, + 0.06105138, + 0.048602022, + -0.26636595, + -0.10690215, + 0.16656478, + 0.20447391, + -0.09940268, + -0.20682369, + -0.010833654, + 0.06810745, + -0.13920541, + 0.23065639, + -0.1771053, + 0.07515774, + 0.074341066, + 0.27232394, + 0.17203307, + -0.04792379, + -0.12490794, + 0.17855616, + -0.12948748, + 0.17483488, + -0.015064626, + 0.27426863, + -0.10310955, + -0.098964475, + 0.256601, + -0.025469879, + -0.00063412444, + 0.18264629, + -0.10874696, + -0.15044397, + -0.19953947 ], "xaxis": "x", "yaxis": "y" @@ -20881,7 +15587,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test accuracy after customization: 94.5% ± 1.0%\n" + "Test accuracy after customization: 93.1% ± 1.9%\n" ] } ], @@ -20896,9 +15602,9 @@ " facet_row=\"dataset\",\n", ").show()\n", "\n", - "test_df = df[df['dataset'] == 'test']\n", + "test_df = df[df[\"dataset\"] == \"test\"]\n", "a, se = accuracy_and_se(test_df[\"cosine_similarity\"], test_df[\"label\"])\n", - "print(f'Test accuracy: {a:0.1%} ± {1.96 * se:0.1%}')\n", + "print(f\"Test accuracy: {a:0.1%} ± {1.96 * se:0.1%}\")\n", "\n", "# plot similarity distribution AFTER customization\n", "px.histogram(\n", @@ -20911,13 +15617,12 @@ ").show()\n", "\n", "a, se = accuracy_and_se(test_df[\"cosine_similarity_custom\"], test_df[\"label\"])\n", - "print(f'Test accuracy after customization: {a:0.1%} ± {1.96 * se:0.1%}')\n", - "\n" + "print(f\"Test accuracy after customization: {a:0.1%} ± {1.96 * se:0.1%}\")\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": { "id": "XO7iqiVjpgkT", "outputId": "a100a9e0-d5aa-46ab-b8a7-4ec6f7bd1cec" @@ -20926,22 +15631,22 @@ { "data": { "text/plain": [ - "array([[-1.3517092 , 0.28163946, 0.9140799 , ..., 0.12247127,\n", - " -0.1615858 , -0.08879007],\n", - " [ 0.8833686 , -0.844946 , 2.1167974 , ..., -0.63856494,\n", - " 0.37139723, -0.5635943 ],\n", - " [ 0.2253975 , -0.58070326, -0.8530685 , ..., 0.61836195,\n", - " 1.5728145 , 0.39455906],\n", + "array([[ 0.10089379, -0.26317084, -0.72087 , ..., 0.88050383,\n", + " 1.065715 , 1.0044045 ],\n", + " [-0.79380614, -0.42881328, -1.3020372 , ..., -0.05304366,\n", + " 1.8495051 , 0.21670245],\n", + " [-0.52067024, -2.1359727 , 0.6334456 , ..., 1.2324876 ,\n", + " -1.9171742 , -0.5424233 ],\n", " ...,\n", - " [ 0.00959156, 0.10840097, 0.9884689 , ..., -0.25716397,\n", - " 0.79389465, 0.16435517],\n", - " [-1.006916 , 1.0257064 , 0.32284895, ..., -0.37429097,\n", - " -0.57910526, -1.4773123 ],\n", - " [ 0.01498076, 1.5009826 , -1.0185508 , ..., 0.4380649 ,\n", - " 0.42969966, 1.0704373 ]], dtype=float32)" + " [-0.13776606, -0.24635942, -1.9609704 , ..., -0.6989217 ,\n", + " 0.05333536, -1.5094401 ],\n", + " [ 0.6410639 , 0.76585424, 1.3761768 , ..., 0.07790121,\n", + " -1.9715555 , -0.04332887],\n", + " [-1.3668009 , 0.7661092 , 0.05144122, ..., 0.1640734 ,\n", + " -0.37696475, -0.19387771]], dtype=float32)" ] }, - "execution_count": 20, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -20957,12 +15662,14 @@ "id": "dPF-sczmpgkT" }, "outputs": [], - "source": [ - "" - ] + "source": [] } ], "metadata": { + "colab": { + "name": "customized_embeddings_example_with_synthetic_negatives.ipynb", + "provenance": [] + }, "interpreter": { "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" }, @@ -20983,12 +15690,8 @@ "pygments_lexer": "ipython3", "version": "3.9.9" }, - "orig_nbformat": 4, - "colab": { - "name": "customized_embeddings_example_with_synthetic_negatives.ipynb", - "provenance": [] - } + "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 0 -} \ No newline at end of file +} diff --git a/examples/data/snli_1.0_train_2k.csv b/examples/data/snli_1.0_train_2k.csv new file mode 100644 index 00000000..b8943a34 --- /dev/null +++ b/examples/data/snli_1.0_train_2k.csv @@ -0,0 +1,2001 @@ +,annotator_labels,captionID,gold_label,pairID,sentence1,sentence1_binary_parse,sentence1_parse,sentence2,sentence2_binary_parse,sentence2_parse +0,['neutral'],3416050480.jpg#4,neutral,3416050480.jpg#4r1n,A person on a horse jumps over a broken down airplane.,( ( ( A person ) ( on ( a horse ) ) ) ( ( jumps ( over ( a ( broken ( down airplane ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN on) (NP (DT a) (NN horse)))) (VP (VBZ jumps) (PP (IN over) (NP (DT a) (JJ broken) (JJ down) (NN airplane)))) (. .))),A person is training his horse for a competition.,( ( A person ) ( ( is ( ( training ( his horse ) ) ( for ( a competition ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG training) (NP (PRP$ his) (NN horse)) (PP (IN for) (NP (DT a) (NN competition))))) (. .))) +1,['contradiction'],3416050480.jpg#4,contradiction,3416050480.jpg#4r1c,A person on a horse jumps over a broken down airplane.,( ( ( A person ) ( on ( a horse ) ) ) ( ( jumps ( over ( a ( broken ( down airplane ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN on) (NP (DT a) (NN horse)))) (VP (VBZ jumps) (PP (IN over) (NP (DT a) (JJ broken) (JJ down) (NN airplane)))) (. .))),"A person is at a diner, ordering an omelette.","( ( A person ) ( ( ( ( is ( at ( a diner ) ) ) , ) ( ordering ( an omelette ) ) ) . ) )","(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (PP (IN at) (NP (DT a) (NN diner))) (, ,) (S (VP (VBG ordering) (NP (DT an) (NN omelette))))) (. .)))" +2,['entailment'],3416050480.jpg#4,entailment,3416050480.jpg#4r1e,A person on a horse jumps over a broken down airplane.,( ( ( A person ) ( on ( a horse ) ) ) ( ( jumps ( over ( a ( broken ( down airplane ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN on) (NP (DT a) (NN horse)))) (VP (VBZ jumps) (PP (IN over) (NP (DT a) (JJ broken) (JJ down) (NN airplane)))) (. .))),"A person is outdoors, on a horse.","( ( A person ) ( ( ( ( is outdoors ) , ) ( on ( a horse ) ) ) . ) )","(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (ADVP (RB outdoors)) (, ,) (PP (IN on) (NP (DT a) (NN horse)))) (. .)))" +3,['neutral'],2267923837.jpg#2,neutral,2267923837.jpg#2r1n,Children smiling and waving at camera,( Children ( ( ( smiling and ) waving ) ( at camera ) ) ),(ROOT (NP (S (NP (NNP Children)) (VP (VBG smiling) (CC and) (VBG waving) (PP (IN at) (NP (NN camera))))))),They are smiling at their parents,( They ( are ( smiling ( at ( their parents ) ) ) ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (VBG smiling) (PP (IN at) (NP (PRP$ their) (NNS parents))))))) +4,['entailment'],2267923837.jpg#2,entailment,2267923837.jpg#2r1e,Children smiling and waving at camera,( Children ( ( ( smiling and ) waving ) ( at camera ) ) ),(ROOT (NP (S (NP (NNP Children)) (VP (VBG smiling) (CC and) (VBG waving) (PP (IN at) (NP (NN camera))))))),There are children present,( There ( ( are children ) present ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NNS children)) (ADVP (RB present))))) +5,['contradiction'],2267923837.jpg#2,contradiction,2267923837.jpg#2r1c,Children smiling and waving at camera,( Children ( ( ( smiling and ) waving ) ( at camera ) ) ),(ROOT (NP (S (NP (NNP Children)) (VP (VBG smiling) (CC and) (VBG waving) (PP (IN at) (NP (NN camera))))))),The kids are frowning,( ( The kids ) ( are frowning ) ),(ROOT (S (NP (DT The) (NNS kids)) (VP (VBP are) (VP (VBG frowning))))) +6,['contradiction'],3691670743.jpg#0,contradiction,3691670743.jpg#0r1c,A boy is jumping on skateboard in the middle of a red bridge.,( ( A boy ) ( ( is ( ( jumping ( on skateboard ) ) ( in ( ( the middle ) ( of ( a ( red bridge ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG jumping) (PP (IN on) (NP (NN skateboard))) (PP (IN in) (NP (NP (DT the) (NN middle)) (PP (IN of) (NP (DT a) (JJ red) (NN bridge))))))) (. .))),The boy skates down the sidewalk.,( ( The boy ) ( ( ( skates down ) ( the sidewalk ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ skates) (PRT (RP down)) (NP (DT the) (NN sidewalk))) (. .))) +7,['entailment'],3691670743.jpg#0,entailment,3691670743.jpg#0r1e,A boy is jumping on skateboard in the middle of a red bridge.,( ( A boy ) ( ( is ( ( jumping ( on skateboard ) ) ( in ( ( the middle ) ( of ( a ( red bridge ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG jumping) (PP (IN on) (NP (NN skateboard))) (PP (IN in) (NP (NP (DT the) (NN middle)) (PP (IN of) (NP (DT a) (JJ red) (NN bridge))))))) (. .))),The boy does a skateboarding trick.,( ( The boy ) ( ( does ( a ( skateboarding trick ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ does) (NP (DT a) (NNP skateboarding) (NN trick))) (. .))) +8,['neutral'],3691670743.jpg#0,neutral,3691670743.jpg#0r1n,A boy is jumping on skateboard in the middle of a red bridge.,( ( A boy ) ( ( is ( ( jumping ( on skateboard ) ) ( in ( ( the middle ) ( of ( a ( red bridge ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG jumping) (PP (IN on) (NP (NN skateboard))) (PP (IN in) (NP (NP (DT the) (NN middle)) (PP (IN of) (NP (DT a) (JJ red) (NN bridge))))))) (. .))),The boy is wearing safety equipment.,( ( The boy ) ( ( is ( wearing ( safety equipment ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ is) (VP (VBG wearing) (NP (NN safety) (NN equipment)))) (. .))) +9,['neutral'],4804607632.jpg#0,neutral,4804607632.jpg#0r1n,An older man sits with his orange juice at a small table in a coffee shop while employees in bright colored shirts smile in the background.,( ( An ( older man ) ) ( ( ( sits ( with ( ( his ( orange juice ) ) ( at ( ( a ( small table ) ) ( in ( a ( coffee shop ) ) ) ) ) ) ) ) ( while ( ( employees ( in ( bright ( colored shirts ) ) ) ) ( smile ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN man)) (VP (VBZ sits) (PP (IN with) (NP (NP (PRP$ his) (JJ orange) (NN juice)) (PP (IN at) (NP (NP (DT a) (JJ small) (NN table)) (PP (IN in) (NP (DT a) (NN coffee) (NN shop))))))) (SBAR (IN while) (S (NP (NP (NNS employees)) (PP (IN in) (NP (JJ bright) (JJ colored) (NNS shirts)))) (VP (VBP smile) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),An older man drinks his juice as he waits for his daughter to get off work.,( ( An ( older man ) ) ( ( ( drinks ( his juice ) ) ( as ( he ( waits ( for ( his ( daughter ( to ( ( get off ) work ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN man)) (VP (VBZ drinks) (NP (PRP$ his) (NN juice)) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ waits) (PP (IN for) (NP (PRP$ his) (NN daughter) (S (VP (TO to) (VP (VB get) (PRT (RP off)) (NP (NN work))))))))))) (. .))) +10,['contradiction'],4804607632.jpg#0,contradiction,4804607632.jpg#0r1c,An older man sits with his orange juice at a small table in a coffee shop while employees in bright colored shirts smile in the background.,( ( An ( older man ) ) ( ( ( sits ( with ( ( his ( orange juice ) ) ( at ( ( a ( small table ) ) ( in ( a ( coffee shop ) ) ) ) ) ) ) ) ( while ( ( employees ( in ( bright ( colored shirts ) ) ) ) ( smile ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN man)) (VP (VBZ sits) (PP (IN with) (NP (NP (PRP$ his) (JJ orange) (NN juice)) (PP (IN at) (NP (NP (DT a) (JJ small) (NN table)) (PP (IN in) (NP (DT a) (NN coffee) (NN shop))))))) (SBAR (IN while) (S (NP (NP (NNS employees)) (PP (IN in) (NP (JJ bright) (JJ colored) (NNS shirts)))) (VP (VBP smile) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),A boy flips a burger.,( ( A boy ) ( ( flips ( a burger ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ flips) (NP (DT a) (NN burger))) (. .))) +11,"['entailment', 'neutral', 'entailment', 'neutral', 'neutral']",4804607632.jpg#0,neutral,4804607632.jpg#0r1e,An older man sits with his orange juice at a small table in a coffee shop while employees in bright colored shirts smile in the background.,( ( An ( older man ) ) ( ( ( sits ( with ( ( his ( orange juice ) ) ( at ( ( a ( small table ) ) ( in ( a ( coffee shop ) ) ) ) ) ) ) ) ( while ( ( employees ( in ( bright ( colored shirts ) ) ) ) ( smile ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN man)) (VP (VBZ sits) (PP (IN with) (NP (NP (PRP$ his) (JJ orange) (NN juice)) (PP (IN at) (NP (NP (DT a) (JJ small) (NN table)) (PP (IN in) (NP (DT a) (NN coffee) (NN shop))))))) (SBAR (IN while) (S (NP (NP (NNS employees)) (PP (IN in) (NP (JJ bright) (JJ colored) (NNS shirts)))) (VP (VBP smile) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),An elderly man sits in a small shop.,( ( An ( elderly man ) ) ( ( sits ( in ( a ( small shop ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN man)) (VP (VBZ sits) (PP (IN in) (NP (DT a) (JJ small) (NN shop)))) (. .))) +12,['neutral'],4705552913.jpg#4,neutral,4705552913.jpg#4r1n,Two blond women are hugging one another.,( ( Two ( blond women ) ) ( ( are ( hugging ( one another ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ blond) (NNS women)) (VP (VBP are) (VP (VBG hugging) (NP (CD one) (DT another)))) (. .))),Some women are hugging on vacation.,( ( Some women ) ( ( are ( hugging ( on vacation ) ) ) . ) ),(ROOT (S (NP (DT Some) (NNS women)) (VP (VBP are) (VP (VBG hugging) (PP (IN on) (NP (NN vacation))))) (. .))) +13,['contradiction'],4705552913.jpg#4,contradiction,4705552913.jpg#4r1c,Two blond women are hugging one another.,( ( Two ( blond women ) ) ( ( are ( hugging ( one another ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ blond) (NNS women)) (VP (VBP are) (VP (VBG hugging) (NP (CD one) (DT another)))) (. .))),The women are sleeping.,( ( The women ) ( ( are sleeping ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP are) (VP (VBG sleeping))) (. .))) +14,['entailment'],4705552913.jpg#4,entailment,4705552913.jpg#4r1e,Two blond women are hugging one another.,( ( Two ( blond women ) ) ( ( are ( hugging ( one another ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ blond) (NNS women)) (VP (VBP are) (VP (VBG hugging) (NP (CD one) (DT another)))) (. .))),There are women showing affection.,( There ( ( are ( women ( showing affection ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS women)) (VP (VBG showing) (NP (NN affection))))) (. .))) +15,['neutral'],4804607632.jpg#2,neutral,4804607632.jpg#2r1n,"A few people in a restaurant setting, one of them is drinking orange juice.","( ( ( A ( few people ) ) ( in ( ( ( a ( restaurant setting ) ) , ) ( one ( of them ) ) ) ) ) ( ( is ( drinking ( orange juice ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (JJ few) (NNS people)) (PP (IN in) (NP (NP (DT a) (NN restaurant) (NN setting)) (, ,) (NP (NP (CD one)) (PP (IN of) (NP (PRP them))))))) (VP (VBZ is) (VP (VBG drinking) (NP (JJ orange) (NN juice)))) (. .)))",The people are eating omelettes.,( ( The people ) ( ( are ( eating omelettes ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG eating) (NP (NNS omelettes)))) (. .))) +16,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",4804607632.jpg#2,contradiction,4804607632.jpg#2r1c,"A few people in a restaurant setting, one of them is drinking orange juice.","( ( ( A ( few people ) ) ( in ( ( ( a ( restaurant setting ) ) , ) ( one ( of them ) ) ) ) ) ( ( is ( drinking ( orange juice ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (JJ few) (NNS people)) (PP (IN in) (NP (NP (DT a) (NN restaurant) (NN setting)) (, ,) (NP (NP (CD one)) (PP (IN of) (NP (PRP them))))))) (VP (VBZ is) (VP (VBG drinking) (NP (JJ orange) (NN juice)))) (. .)))",The people are sitting at desks in school.,( ( The people ) ( ( are ( sitting ( at ( desks ( in school ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG sitting) (PP (IN at) (NP (NP (NNS desks)) (PP (IN in) (NP (NN school))))))) (. .))) +17,['entailment'],4804607632.jpg#2,entailment,4804607632.jpg#2r1e,"A few people in a restaurant setting, one of them is drinking orange juice.","( ( ( A ( few people ) ) ( in ( ( ( a ( restaurant setting ) ) , ) ( one ( of them ) ) ) ) ) ( ( is ( drinking ( orange juice ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (JJ few) (NNS people)) (PP (IN in) (NP (NP (DT a) (NN restaurant) (NN setting)) (, ,) (NP (NP (CD one)) (PP (IN of) (NP (PRP them))))))) (VP (VBZ is) (VP (VBG drinking) (NP (JJ orange) (NN juice)))) (. .)))",The diners are at a restaurant.,( ( The diners ) ( ( are ( at ( a restaurant ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS diners)) (VP (VBP are) (PP (IN at) (NP (DT a) (NN restaurant)))) (. .))) +18,['entailment'],4804607632.jpg#3,entailment,4804607632.jpg#3r1e,An older man is drinking orange juice at a restaurant.,( ( An ( older man ) ) ( ( is ( ( drinking ( orange juice ) ) ( at ( a restaurant ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (JJ orange) (NN juice)) (PP (IN at) (NP (DT a) (NN restaurant))))) (. .))),A man is drinking juice.,( ( A man ) ( ( is ( drinking juice ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (NN juice)))) (. .))) +19,['contradiction'],4804607632.jpg#3,contradiction,4804607632.jpg#3r1c,An older man is drinking orange juice at a restaurant.,( ( An ( older man ) ) ( ( is ( ( drinking ( orange juice ) ) ( at ( a restaurant ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (JJ orange) (NN juice)) (PP (IN at) (NP (DT a) (NN restaurant))))) (. .))),Two women are at a restaurant drinking wine.,( ( Two women ) ( ( are ( at ( a ( restaurant ( drinking wine ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS women)) (VP (VBP are) (PP (IN at) (NP (DT a) (NN restaurant) (NN drinking) (NN wine)))) (. .))) +20,['neutral'],4804607632.jpg#3,neutral,4804607632.jpg#3r1n,An older man is drinking orange juice at a restaurant.,( ( An ( older man ) ) ( ( is ( ( drinking ( orange juice ) ) ( at ( a restaurant ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (JJ orange) (NN juice)) (PP (IN at) (NP (DT a) (NN restaurant))))) (. .))),A man in a restaurant is waiting for his meal to arrive.,( ( ( A man ) ( in ( a restaurant ) ) ) ( ( is ( waiting ( for ( his ( meal ( to arrive ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (NN restaurant)))) (VP (VBZ is) (VP (VBG waiting) (PP (IN for) (NP (PRP$ his) (NN meal) (S (VP (TO to) (VP (VB arrive)))))))) (. .))) +21,['neutral'],4850814517.jpg#1,neutral,4850814517.jpg#1r1n,"A man with blond-hair, and a brown shirt drinking out of a public water fountain.","( ( ( ( ( ( A man ) ( with blond-hair ) ) , ) and ) ( ( a ( brown shirt ) ) ( ( drinking out ) ( of ( a ( public ( water fountain ) ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN man)) (PP (IN with) (NP (NN blond-hair))) (, ,) (CC and) (NP (NP (DT a) (JJ brown) (NN shirt)) (VP (VBG drinking) (PRT (RP out)) (PP (IN of) (NP (DT a) (JJ public) (NN water) (NN fountain))))) (. .)))",A blond man getting a drink of water from a fountain in the park.,( ( ( A ( blond man ) ) ( ( getting ( ( a drink ) ( of water ) ) ) ( from ( ( a fountain ) ( in ( the park ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ blond) (NN man)) (VP (VBG getting) (NP (NP (DT a) (NN drink)) (PP (IN of) (NP (NN water)))) (PP (IN from) (NP (NP (DT a) (NN fountain)) (PP (IN in) (NP (DT the) (NN park)))))) (. .))) +22,['contradiction'],4850814517.jpg#1,contradiction,4850814517.jpg#1r1c,"A man with blond-hair, and a brown shirt drinking out of a public water fountain.","( ( ( ( ( ( A man ) ( with blond-hair ) ) , ) and ) ( ( a ( brown shirt ) ) ( ( drinking out ) ( of ( a ( public ( water fountain ) ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN man)) (PP (IN with) (NP (NN blond-hair))) (, ,) (CC and) (NP (NP (DT a) (JJ brown) (NN shirt)) (VP (VBG drinking) (PRT (RP out)) (PP (IN of) (NP (DT a) (JJ public) (NN water) (NN fountain))))) (. .)))",A blond man wearing a brown shirt is reading a book on a bench in the park,( ( ( A ( blond man ) ) ( wearing ( a ( brown shirt ) ) ) ) ( is ( ( reading ( a book ) ) ( on ( ( a bench ) ( in ( the park ) ) ) ) ) ) ),(ROOT (S (NP (NP (DT A) (JJ blond) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ brown) (NN shirt)))) (VP (VBZ is) (VP (VBG reading) (NP (DT a) (NN book)) (PP (IN on) (NP (NP (DT a) (NN bench)) (PP (IN in) (NP (DT the) (NN park))))))))) +23,['entailment'],4850814517.jpg#1,entailment,4850814517.jpg#1r1e,"A man with blond-hair, and a brown shirt drinking out of a public water fountain.","( ( ( ( ( ( A man ) ( with blond-hair ) ) , ) and ) ( ( a ( brown shirt ) ) ( ( drinking out ) ( of ( a ( public ( water fountain ) ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN man)) (PP (IN with) (NP (NN blond-hair))) (, ,) (CC and) (NP (NP (DT a) (JJ brown) (NN shirt)) (VP (VBG drinking) (PRT (RP out)) (PP (IN of) (NP (DT a) (JJ public) (NN water) (NN fountain))))) (. .)))",A blond man drinking water from a fountain.,( ( ( A ( blond man ) ) ( ( drinking water ) ( from ( a fountain ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ blond) (NN man)) (VP (VBG drinking) (NP (NN water)) (PP (IN from) (NP (DT a) (NN fountain)))) (. .))) +24,['contradiction'],4705552913.jpg#0,contradiction,4705552913.jpg#0r1c,Two women who just had lunch hugging and saying goodbye.,( ( ( Two women ) ( who ( just ( had ( lunch ( ( ( hugging and ) saying ) goodbye ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS women)) (SBAR (WHNP (WP who)) (S (ADVP (RB just)) (VP (VBD had) (NP (NP (NN lunch)) (VP (VBG hugging) (CC and) (VBG saying) (NP (UH goodbye))))))) (. .))),The friends scowl at each other over a full dinner table.,( ( The friends ) ( ( scowl ( at ( ( each other ) ( over ( a ( full ( dinner table ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS friends)) (VP (VBP scowl) (PP (IN at) (NP (NP (DT each) (JJ other)) (PP (IN over) (NP (DT a) (JJ full) (NN dinner) (NN table)))))) (. .))) +25,['entailment'],4705552913.jpg#0,entailment,4705552913.jpg#0r1e,Two women who just had lunch hugging and saying goodbye.,( ( ( Two women ) ( who ( just ( had ( lunch ( ( ( hugging and ) saying ) goodbye ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS women)) (SBAR (WHNP (WP who)) (S (ADVP (RB just)) (VP (VBD had) (NP (NP (NN lunch)) (VP (VBG hugging) (CC and) (VBG saying) (NP (UH goodbye))))))) (. .))),There are two woman in this picture.,( There ( ( are ( ( two woman ) ( in ( this picture ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (CD two) (NN woman)) (PP (IN in) (NP (DT this) (NN picture))))) (. .))) +26,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",4705552913.jpg#0,neutral,4705552913.jpg#0r1n,Two women who just had lunch hugging and saying goodbye.,( ( ( Two women ) ( who ( just ( had ( lunch ( ( ( hugging and ) saying ) goodbye ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS women)) (SBAR (WHNP (WP who)) (S (ADVP (RB just)) (VP (VBD had) (NP (NP (NN lunch)) (VP (VBG hugging) (CC and) (VBG saying) (NP (UH goodbye))))))) (. .))),"The friends have just met for the first time in 20 years, and have had a great time catching up.","( ( The friends ) ( ( ( ( ( ( have just ) ( met ( for ( ( the ( first time ) ) ( in ( 20 years ) ) ) ) ) ) , ) and ) ( have ( had ( ( a ( great time ) ) ( catching up ) ) ) ) ) . ) )","(ROOT (S (NP (DT The) (NNS friends)) (VP (VP (VBP have) (ADVP (RB just)) (VP (VBN met) (PP (IN for) (NP (NP (DT the) (JJ first) (NN time)) (PP (IN in) (NP (CD 20) (NNS years))))))) (, ,) (CC and) (VP (VBP have) (VP (VBN had) (NP (NP (DT a) (JJ great) (NN time)) (VP (VBG catching) (PRT (RP up))))))) (. .)))" +27,['neutral'],4705552913.jpg#3,neutral,4705552913.jpg#3r1n,"Two women, holding food carryout containers, hug.","( ( ( ( ( Two women ) , ) ( holding ( food ( carryout containers ) ) ) ) , ) ( hug . ) )","(ROOT (S (NP (NP (CD Two) (NNS women)) (, ,) (NP (VBG holding) (NN food) (NN carryout) (NNS containers)) (, ,)) (VP (VBD hug)) (. .)))","The two sisters saw each other across the crowded diner and shared a hug, both clutching their doggie bags.","( ( The ( two sisters ) ) ( ( ( ( ( saw ( each other ) ) ( across ( the ( crowded diner ) ) ) ) and ) ( shared ( ( ( a hug ) , ) ( both ( clutching ( their ( doggie bags ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT The) (CD two) (NNS sisters)) (VP (VP (VBD saw) (NP (DT each) (JJ other)) (PP (IN across) (NP (DT the) (JJ crowded) (NN diner)))) (CC and) (VP (VBD shared) (NP (NP (DT a) (NN hug)) (, ,) (SBAR (WHNP (DT both)) (S (VP (VBG clutching) (NP (PRP$ their) (JJ doggie) (NNS bags)))))))) (. .)))" +28,['contradiction'],4705552913.jpg#3,contradiction,4705552913.jpg#3r1c,"Two women, holding food carryout containers, hug.","( ( ( ( ( Two women ) , ) ( holding ( food ( carryout containers ) ) ) ) , ) ( hug . ) )","(ROOT (S (NP (NP (CD Two) (NNS women)) (, ,) (NP (VBG holding) (NN food) (NN carryout) (NNS containers)) (, ,)) (VP (VBD hug)) (. .)))",Two groups of rival gang members flipped each other off.,( ( ( Two groups ) ( of ( rival ( gang members ) ) ) ) ( ( ( flipped ( each other ) ) off ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS groups)) (PP (IN of) (NP (JJ rival) (NN gang) (NNS members)))) (VP (VBD flipped) (NP (DT each) (JJ other)) (PRT (RP off))) (. .))) +29,"['entailment', 'entailment', 'entailment', 'entailment', 'contradiction']",4705552913.jpg#3,entailment,4705552913.jpg#3r1e,"Two women, holding food carryout containers, hug.","( ( ( ( ( Two women ) , ) ( holding ( food ( carryout containers ) ) ) ) , ) ( hug . ) )","(ROOT (S (NP (NP (CD Two) (NNS women)) (, ,) (NP (VBG holding) (NN food) (NN carryout) (NNS containers)) (, ,)) (VP (VBD hug)) (. .)))",Two women hug each other.,( ( Two women ) ( ( hug ( each other ) ) . ) ),(ROOT (S (NP (CD Two) (NNS women)) (VP (VB hug) (NP (DT each) (JJ other))) (. .))) +30,['neutral'],3637966641.jpg#1,neutral,3637966641.jpg#1r1n,A Little League team tries to catch a runner sliding into a base in an afternoon game.,( ( A ( Little ( League team ) ) ) ( ( tries ( to ( catch ( ( a runner ) ( sliding ( into ( ( a base ) ( in ( an ( afternoon game ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NNP Little) (NNP League) (NN team)) (VP (VBZ tries) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN runner)) (VP (VBG sliding) (PP (IN into) (NP (NP (DT a) (NN base)) (PP (IN in) (NP (DT an) (NN afternoon) (NN game))))))))))) (. .))),A team is trying to score the games winning out.,( ( A team ) ( ( is ( ( ( trying ( to score ) ) ( the games ) ) ( winning out ) ) ) . ) ),(ROOT (S (NP (DT A) (NN team)) (VP (VBZ is) (VP (VBG trying) (PP (TO to) (NP (NN score))) (NP (DT the) (NNS games)) (VP (VBG winning) (PRT (RP out))))) (. .))) +31,['entailment'],3637966641.jpg#1,entailment,3637966641.jpg#1r1e,A Little League team tries to catch a runner sliding into a base in an afternoon game.,( ( A ( Little ( League team ) ) ) ( ( tries ( to ( catch ( ( a runner ) ( sliding ( into ( ( a base ) ( in ( an ( afternoon game ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NNP Little) (NNP League) (NN team)) (VP (VBZ tries) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN runner)) (VP (VBG sliding) (PP (IN into) (NP (NP (DT a) (NN base)) (PP (IN in) (NP (DT an) (NN afternoon) (NN game))))))))))) (. .))),A team is trying to tag a runner out.,( ( A team ) ( ( is ( trying ( to ( ( tag ( a runner ) ) out ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN team)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB tag) (NP (DT a) (NN runner)) (PRT (RP out))))))) (. .))) +32,['contradiction'],3637966641.jpg#1,contradiction,3637966641.jpg#1r1c,A Little League team tries to catch a runner sliding into a base in an afternoon game.,( ( A ( Little ( League team ) ) ) ( ( tries ( to ( catch ( ( a runner ) ( sliding ( into ( ( a base ) ( in ( an ( afternoon game ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NNP Little) (NNP League) (NN team)) (VP (VBZ tries) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN runner)) (VP (VBG sliding) (PP (IN into) (NP (NP (DT a) (NN base)) (PP (IN in) (NP (DT an) (NN afternoon) (NN game))))))))))) (. .))),A team is playing baseball on Saturn.,( ( A team ) ( ( is ( ( playing baseball ) ( on Saturn ) ) ) . ) ),(ROOT (S (NP (DT A) (NN team)) (VP (VBZ is) (VP (VBG playing) (NP (NN baseball)) (PP (IN on) (NP (NNP Saturn))))) (. .))) +33,['contradiction'],3636329461.jpg#0,contradiction,3636329461.jpg#0r1c,The school is having a special event in order to show the american culture on how other cultures are dealt with in parties.,( ( The school ) ( ( is ( ( having ( ( a ( special event ) ) ( in order ) ) ) ( to ( ( show ( the ( american culture ) ) ) ( on ( how ( ( other cultures ) ( are ( dealt ( with ( in parties ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN school)) (VP (VBZ is) (VP (VBG having) (NP (NP (DT a) (JJ special) (NN event)) (PP (IN in) (NP (NN order)))) (S (VP (TO to) (VP (VB show) (NP (DT the) (NN american) (NN culture)) (PP (IN on) (SBAR (WHADVP (WRB how)) (S (NP (JJ other) (NNS cultures)) (VP (VBP are) (VP (VBN dealt) (PP (IN with) (PP (IN in) (NP (NNS parties)))))))))))))) (. .))),A school hosts a basketball game.,( ( A school ) ( ( hosts ( a ( basketball game ) ) ) . ) ),(ROOT (S (NP (DT A) (NN school)) (VP (VBZ hosts) (NP (DT a) (NN basketball) (NN game))) (. .))) +34,"['neutral', 'neutral', 'neutral', 'neutral', 'entailment']",3636329461.jpg#0,neutral,3636329461.jpg#0r1n,The school is having a special event in order to show the american culture on how other cultures are dealt with in parties.,( ( The school ) ( ( is ( ( having ( ( a ( special event ) ) ( in order ) ) ) ( to ( ( show ( the ( american culture ) ) ) ( on ( how ( ( other cultures ) ( are ( dealt ( with ( in parties ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN school)) (VP (VBZ is) (VP (VBG having) (NP (NP (DT a) (JJ special) (NN event)) (PP (IN in) (NP (NN order)))) (S (VP (TO to) (VP (VB show) (NP (DT the) (NN american) (NN culture)) (PP (IN on) (SBAR (WHADVP (WRB how)) (S (NP (JJ other) (NNS cultures)) (VP (VBP are) (VP (VBN dealt) (PP (IN with) (PP (IN in) (NP (NNS parties)))))))))))))) (. .))),A high school is hosting an event.,( ( A ( high school ) ) ( ( is ( hosting ( an event ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ high) (NN school)) (VP (VBZ is) (VP (VBG hosting) (NP (DT an) (NN event)))) (. .))) +35,['entailment'],3636329461.jpg#0,entailment,3636329461.jpg#0r1e,The school is having a special event in order to show the american culture on how other cultures are dealt with in parties.,( ( The school ) ( ( is ( ( having ( ( a ( special event ) ) ( in order ) ) ) ( to ( ( show ( the ( american culture ) ) ) ( on ( how ( ( other cultures ) ( are ( dealt ( with ( in parties ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN school)) (VP (VBZ is) (VP (VBG having) (NP (NP (DT a) (JJ special) (NN event)) (PP (IN in) (NP (NN order)))) (S (VP (TO to) (VP (VB show) (NP (DT the) (NN american) (NN culture)) (PP (IN on) (SBAR (WHADVP (WRB how)) (S (NP (JJ other) (NNS cultures)) (VP (VBP are) (VP (VBN dealt) (PP (IN with) (PP (IN in) (NP (NNS parties)))))))))))))) (. .))),A school is hosting an event.,( ( A school ) ( ( is ( hosting ( an event ) ) ) . ) ),(ROOT (S (NP (DT A) (NN school)) (VP (VBZ is) (VP (VBG hosting) (NP (DT an) (NN event)))) (. .))) +36,['contradiction'],4934873039.jpg#0,contradiction,4934873039.jpg#0r1c,High fashion ladies wait outside a tram beside a crowd of people in the city.,( ( High ( fashion ladies ) ) ( ( ( wait ( outside ( a tram ) ) ) ( beside ( ( a crowd ) ( of ( people ( in ( the city ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (JJ High) (NN fashion) (NNS ladies)) (VP (VBP wait) (PP (IN outside) (NP (DT a) (NN tram))) (PP (IN beside) (NP (NP (DT a) (NN crowd)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (DT the) (NN city)))))))) (. .))),The women do not care what clothes they wear.,( ( The women ) ( ( ( do not ) ( care ( ( what clothes ) ( they wear ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP do) (RB not) (VP (VB care) (SBAR (WHNP (WP what) (NX (NNS clothes))) (S (NP (PRP they)) (VP (VBP wear)))))) (. .))) +37,['entailment'],4934873039.jpg#0,entailment,4934873039.jpg#0r1e,High fashion ladies wait outside a tram beside a crowd of people in the city.,( ( High ( fashion ladies ) ) ( ( ( wait ( outside ( a tram ) ) ) ( beside ( ( a crowd ) ( of ( people ( in ( the city ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (JJ High) (NN fashion) (NNS ladies)) (VP (VBP wait) (PP (IN outside) (NP (DT a) (NN tram))) (PP (IN beside) (NP (NP (DT a) (NN crowd)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (DT the) (NN city)))))))) (. .))),Women are waiting by a tram.,( Women ( ( are ( waiting ( by ( a tram ) ) ) ) . ) ),(ROOT (S (NP (NNP Women)) (VP (VBP are) (VP (VBG waiting) (PP (IN by) (NP (DT a) (NN tram))))) (. .))) +38,"['neutral', 'contradiction', 'neutral', 'neutral', 'entailment']",4934873039.jpg#0,neutral,4934873039.jpg#0r1n,High fashion ladies wait outside a tram beside a crowd of people in the city.,( ( High ( fashion ladies ) ) ( ( ( wait ( outside ( a tram ) ) ) ( beside ( ( a crowd ) ( of ( people ( in ( the city ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (JJ High) (NN fashion) (NNS ladies)) (VP (VBP wait) (PP (IN outside) (NP (DT a) (NN tram))) (PP (IN beside) (NP (NP (DT a) (NN crowd)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (DT the) (NN city)))))))) (. .))),The women enjoy having a good fashion sense.,( ( The women ) ( ( enjoy ( having ( a ( good ( fashion sense ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP enjoy) (S (VP (VBG having) (NP (DT a) (JJ good) (NN fashion) (NN sense))))) (. .))) +39,['neutral'],2946464027.jpg#1,neutral,2946464027.jpg#1r1n,"A man, woman, and child enjoying themselves on a beach.","( ( ( A ( man ( , ( woman ( , ( and child ) ) ) ) ) ) ( ( enjoying themselves ) ( on ( a beach ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN man) (, ,) (NN woman) (, ,) (CC and) (NN child)) (VP (VBG enjoying) (NP (PRP themselves)) (PP (IN on) (NP (DT a) (NN beach)))) (. .)))","A child with mom and dad, on summer vacation at the beach.","( ( ( A child ) ( with ( ( mom and ) dad ) ) ) ( , ( ( on ( ( summer vacation ) ( at ( the beach ) ) ) ) . ) ) )","(ROOT (FRAG (NP (NP (DT A) (NN child)) (PP (IN with) (NP (NN mom) (CC and) (NN dad)))) (, ,) (PP (IN on) (NP (NP (NN summer) (NN vacation)) (PP (IN at) (NP (DT the) (NN beach))))) (. .)))" +40,['entailment'],2946464027.jpg#1,entailment,2946464027.jpg#1r1e,"A man, woman, and child enjoying themselves on a beach.","( ( ( A ( man ( , ( woman ( , ( and child ) ) ) ) ) ) ( ( enjoying themselves ) ( on ( a beach ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN man) (, ,) (NN woman) (, ,) (CC and) (NN child)) (VP (VBG enjoying) (NP (PRP themselves)) (PP (IN on) (NP (DT a) (NN beach)))) (. .)))",A family of three is at the beach.,( ( ( A family ) ( of three ) ) ( ( is ( at ( the beach ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN family)) (PP (IN of) (NP (CD three)))) (VP (VBZ is) (PP (IN at) (NP (DT the) (NN beach)))) (. .))) +41,['contradiction'],2946464027.jpg#1,contradiction,2946464027.jpg#1r1c,"A man, woman, and child enjoying themselves on a beach.","( ( ( A ( man ( , ( woman ( , ( and child ) ) ) ) ) ) ( ( enjoying themselves ) ( on ( a beach ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN man) (, ,) (NN woman) (, ,) (CC and) (NN child)) (VP (VBG enjoying) (NP (PRP themselves)) (PP (IN on) (NP (DT a) (NN beach)))) (. .)))",A family of three is at the mall shopping.,( ( ( A family ) ( of three ) ) ( ( is ( at ( the ( mall shopping ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN family)) (PP (IN of) (NP (CD three)))) (VP (VBZ is) (PP (IN at) (NP (DT the) (NN mall) (NN shopping)))) (. .))) +42,['neutral'],4934873039.jpg#2,neutral,4934873039.jpg#2r1n,People waiting to get on a train or just getting off.,( ( People ( ( ( waiting ( to ( get ( on ( a train ) ) ) ) ) or ) ( just ( getting off ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VP (VBG waiting) (S (VP (TO to) (VP (VB get) (PP (IN on) (NP (DT a) (NN train))))))) (CC or) (VP (ADVP (RB just)) (VBG getting) (PRT (RP off)))) (. .))),The people waiting on the train are sitting.,( ( ( The people ) ( waiting ( on ( the train ) ) ) ) ( ( are sitting ) . ) ),(ROOT (S (NP (NP (DT The) (NNS people)) (VP (VBG waiting) (PP (IN on) (NP (DT the) (NN train))))) (VP (VBP are) (VP (VBG sitting))) (. .))) +43,"['contradiction', 'entailment', 'contradiction', 'entailment', 'entailment']",4934873039.jpg#2,entailment,4934873039.jpg#2r1c,People waiting to get on a train or just getting off.,( ( People ( ( ( waiting ( to ( get ( on ( a train ) ) ) ) ) or ) ( just ( getting off ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VP (VBG waiting) (S (VP (TO to) (VP (VB get) (PP (IN on) (NP (DT a) (NN train))))))) (CC or) (VP (ADVP (RB just)) (VBG getting) (PRT (RP off)))) (. .))),There are people just getting on a train,( There ( are ( people ( just ( getting ( on ( a train ) ) ) ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (VP (ADVP (RB just)) (VBG getting) (PP (IN on) (NP (DT a) (NN train)))))))) +44,['entailment'],4934873039.jpg#2,entailment,4934873039.jpg#2r1e,People waiting to get on a train or just getting off.,( ( People ( ( ( waiting ( to ( get ( on ( a train ) ) ) ) ) or ) ( just ( getting off ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VP (VBG waiting) (S (VP (TO to) (VP (VB get) (PP (IN on) (NP (DT a) (NN train))))))) (CC or) (VP (ADVP (RB just)) (VBG getting) (PRT (RP off)))) (. .))),There are people waiting on a train.,( There ( ( are ( people ( waiting ( on ( a train ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (VP (VBG waiting) (PP (IN on) (NP (DT a) (NN train)))))) (. .))) +45,['entailment'],2946464027.jpg#3,entailment,2946464027.jpg#3r1e,A couple playing with a little boy on the beach.,( ( ( A couple ) ( playing ( with ( ( a ( little boy ) ) ( on ( the beach ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN couple)) (VP (VBG playing) (PP (IN with) (NP (NP (DT a) (JJ little) (NN boy)) (PP (IN on) (NP (DT the) (NN beach)))))) (. .))),A couple are playing with a young child outside.,( ( A couple ) ( ( are ( ( playing ( with ( a ( young child ) ) ) ) outside ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP are) (VP (VBG playing) (PP (IN with) (NP (DT a) (JJ young) (NN child))) (ADVP (RB outside)))) (. .))) +46,['neutral'],2946464027.jpg#3,neutral,2946464027.jpg#3r1n,A couple playing with a little boy on the beach.,( ( ( A couple ) ( playing ( with ( ( a ( little boy ) ) ( on ( the beach ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN couple)) (VP (VBG playing) (PP (IN with) (NP (NP (DT a) (JJ little) (NN boy)) (PP (IN on) (NP (DT the) (NN beach)))))) (. .))),A couple are playing frisbee with a young child at the beach.,( ( A couple ) ( ( are ( ( playing frisbee ) ( with ( ( a ( young child ) ) ( at ( the beach ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP are) (VP (VBG playing) (NP (NN frisbee)) (PP (IN with) (NP (NP (DT a) (JJ young) (NN child)) (PP (IN at) (NP (DT the) (NN beach))))))) (. .))) +47,['contradiction'],2946464027.jpg#3,contradiction,2946464027.jpg#3r1c,A couple playing with a little boy on the beach.,( ( ( A couple ) ( playing ( with ( ( a ( little boy ) ) ( on ( the beach ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN couple)) (VP (VBG playing) (PP (IN with) (NP (NP (DT a) (JJ little) (NN boy)) (PP (IN on) (NP (DT the) (NN beach)))))) (. .))),A couple watch a little girl play by herself on the beach.,( ( A couple ) ( ( ( ( watch ( a ( little ( girl play ) ) ) ) ( by herself ) ) ( on ( the beach ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP watch) (NP (DT a) (JJ little) (NN girl) (NN play)) (PP (IN by) (NP (PRP herself))) (PP (IN on) (NP (DT the) (NN beach)))) (. .))) +48,['contradiction'],2946464027.jpg#4,contradiction,2946464027.jpg#4r1c,A couple play in the tide with their young son.,( ( A couple ) ( ( play ( in ( ( the tide ) ( with ( their ( young son ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP play) (PP (IN in) (NP (NP (DT the) (NN tide)) (PP (IN with) (NP (PRP$ their) (JJ young) (NN son)))))) (. .))),The family is sitting down for dinner.,( ( The family ) ( ( is ( ( sitting down ) ( for dinner ) ) ) . ) ),(ROOT (S (NP (DT The) (NN family)) (VP (VBZ is) (VP (VBG sitting) (PRT (RP down)) (PP (IN for) (NP (NN dinner))))) (. .))) +49,['entailment'],2946464027.jpg#4,entailment,2946464027.jpg#4r1e,A couple play in the tide with their young son.,( ( A couple ) ( ( play ( in ( ( the tide ) ( with ( their ( young son ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP play) (PP (IN in) (NP (NP (DT the) (NN tide)) (PP (IN with) (NP (PRP$ their) (JJ young) (NN son)))))) (. .))),The family is outside.,( ( The family ) ( ( is outside ) . ) ),(ROOT (S (NP (DT The) (NN family)) (VP (VBZ is) (ADVP (RB outside))) (. .))) +50,['neutral'],2946464027.jpg#4,neutral,2946464027.jpg#4r1n,A couple play in the tide with their young son.,( ( A couple ) ( ( play ( in ( ( the tide ) ( with ( their ( young son ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP play) (PP (IN in) (NP (NP (DT the) (NN tide)) (PP (IN with) (NP (PRP$ their) (JJ young) (NN son)))))) (. .))),The family is on vacation.,( ( The family ) ( ( is ( on vacation ) ) . ) ),(ROOT (S (NP (DT The) (NN family)) (VP (VBZ is) (PP (IN on) (NP (NN vacation)))) (. .))) +51,['contradiction'],190083339.jpg#4,contradiction,190083339.jpg#4r1c,A man and a woman cross the street in front of a pizza and gyro restaurant.,( ( ( ( A man ) and ) ( a woman ) ) ( ( cross ( ( the street ) ( in ( front ( of ( a ( pizza ( and ( gyro restaurant ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP cross) (NP (NP (DT the) (NN street)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN pizza) (CC and) (NN gyro) (NN restaurant))))))) (. .))),The people are standing still on the curb.,( ( The people ) ( ( are ( ( standing still ) ( on ( the curb ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG standing) (ADVP (RB still)) (PP (IN on) (NP (DT the) (NN curb))))) (. .))) +52,['entailment'],190083339.jpg#4,entailment,190083339.jpg#4r1e,A man and a woman cross the street in front of a pizza and gyro restaurant.,( ( ( ( A man ) and ) ( a woman ) ) ( ( cross ( ( the street ) ( in ( front ( of ( a ( pizza ( and ( gyro restaurant ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP cross) (NP (NP (DT the) (NN street)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN pizza) (CC and) (NN gyro) (NN restaurant))))))) (. .))),"Near a couple of restaurants, two people walk across the street.","( ( Near ( ( a couple ) ( of restaurants ) ) ) ( , ( ( two people ) ( ( walk ( across ( the street ) ) ) . ) ) ) )","(ROOT (S (PP (IN Near) (NP (NP (DT a) (NN couple)) (PP (IN of) (NP (NNS restaurants))))) (, ,) (NP (CD two) (NNS people)) (VP (VBP walk) (PP (IN across) (NP (DT the) (NN street)))) (. .)))" +53,['neutral'],190083339.jpg#4,neutral,190083339.jpg#4r1n,A man and a woman cross the street in front of a pizza and gyro restaurant.,( ( ( ( A man ) and ) ( a woman ) ) ( ( cross ( ( the street ) ( in ( front ( of ( a ( pizza ( and ( gyro restaurant ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP cross) (NP (NP (DT the) (NN street)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN pizza) (CC and) (NN gyro) (NN restaurant))))))) (. .))),The couple are walking across the street together.,( ( The couple ) ( ( are ( ( walking ( across ( the street ) ) ) together ) ) . ) ),(ROOT (S (NP (DT The) (NN couple)) (VP (VBP are) (VP (VBG walking) (PP (IN across) (NP (DT the) (NN street))) (ADVP (RB together)))) (. .))) +54,['contradiction'],4950996568.jpg#2,contradiction,4950996568.jpg#2r1c,A woman in a green jacket and hood over her head looking towards a valley.,( ( ( ( A woman ) ( in ( ( a ( green ( ( jacket and ) hood ) ) ) ( over ( her head ) ) ) ) ) ( looking ( towards ( a valley ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket) (CC and) (NN hood)) (PP (IN over) (NP (PRP$ her) (NN head)))))) (VP (VBG looking) (PP (IN towards) (NP (DT a) (NN valley)))) (. .))),The woman is nake.,( ( The woman ) ( ( is nake ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (ADJP (JJ nake))) (. .))) +55,['neutral'],4950996568.jpg#2,neutral,4950996568.jpg#2r1n,A woman in a green jacket and hood over her head looking towards a valley.,( ( ( ( A woman ) ( in ( ( a ( green ( ( jacket and ) hood ) ) ) ( over ( her head ) ) ) ) ) ( looking ( towards ( a valley ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket) (CC and) (NN hood)) (PP (IN over) (NP (PRP$ her) (NN head)))))) (VP (VBG looking) (PP (IN towards) (NP (DT a) (NN valley)))) (. .))),The woman is cold.,( ( The woman ) ( ( is cold ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (ADJP (JJ cold))) (. .))) +56,['entailment'],4950996568.jpg#2,entailment,4950996568.jpg#2r1e,A woman in a green jacket and hood over her head looking towards a valley.,( ( ( ( A woman ) ( in ( ( a ( green ( ( jacket and ) hood ) ) ) ( over ( her head ) ) ) ) ) ( looking ( towards ( a valley ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket) (CC and) (NN hood)) (PP (IN over) (NP (PRP$ her) (NN head)))))) (VP (VBG looking) (PP (IN towards) (NP (DT a) (NN valley)))) (. .))),The woman is wearing green.,( ( The woman ) ( ( is ( wearing green ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (ADJP (JJ green)))) (. .))) +57,['neutral'],190083339.jpg#1,neutral,190083339.jpg#1r1n,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),The man with the sign is caucasian.,( ( ( The man ) ( with ( the sign ) ) ) ( ( is caucasian ) . ) ),(ROOT (S (NP (NP (DT The) (NN man)) (PP (IN with) (NP (DT the) (NN sign)))) (VP (VBZ is) (ADJP (JJ caucasian))) (. .))) +58,['contradiction'],190083339.jpg#1,contradiction,190083339.jpg#1r2c,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),They are protesting outside the capital.,( They ( ( are ( protesting ( outside ( the capital ) ) ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (VBG protesting) (PP (IN outside) (NP (DT the) (NN capital))))) (. .))) +59,['entailment'],190083339.jpg#1,entailment,190083339.jpg#1r3e,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),A woman in white.,( ( ( A woman ) ( in white ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (JJ white))) (. .))) +60,['entailment'],190083339.jpg#1,entailment,190083339.jpg#1r4e,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),A man is advertising for a restaurant.,( ( A man ) ( ( is ( advertising ( for ( a restaurant ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG advertising) (PP (IN for) (NP (DT a) (NN restaurant))))) (. .))) +61,['contradiction'],190083339.jpg#1,contradiction,190083339.jpg#1r5c,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),The woman is wearing black.,( ( The woman ) ( ( is ( wearing black ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (ADJP (JJ black)))) (. .))) +62,['neutral'],190083339.jpg#1,neutral,190083339.jpg#1r4n,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),A man and a woman walk down a crowded city street.,( ( ( ( A man ) and ) ( a woman ) ) ( ( ( walk down ) ( a ( crowded ( city street ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP walk) (PRT (RP down)) (NP (DT a) (JJ crowded) (NN city) (NN street))) (. .))) +63,['entailment'],190083339.jpg#1,entailment,190083339.jpg#1r5e,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),The woman is wearing white.,( ( The woman ) ( ( is ( wearing white ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (ADJP (JJ white)))) (. .))) +64,['neutral'],190083339.jpg#1,neutral,190083339.jpg#1r2n,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),They are working for John's Pizza.,( They ( ( are ( working ( for ( ( John 's ) Pizza ) ) ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (VBG working) (PP (IN for) (NP (NP (NNP John) (POS 's)) (NNP Pizza))))) (. .))) +65,['contradiction'],190083339.jpg#1,contradiction,190083339.jpg#1r3c,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),Olympic swimming.,( Olympic ( swimming . ) ),(ROOT (NP (JJ Olympic) (NN swimming) (. .))) +66,['contradiction'],190083339.jpg#1,contradiction,190083339.jpg#1r4c,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),A man and a soman are eating together at John's Pizza and Gyro.,( ( ( ( A man ) and ) ( a soman ) ) ( ( are ( ( eating together ) ( at ( ( ( ( John 's ) Pizza ) and ) Gyro ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN soman))) (VP (VBP are) (VP (VBG eating) (ADVP (RB together)) (PP (IN at) (NP (NP (NP (NNP John) (POS 's)) (NNP Pizza)) (CC and) (NP (NNP Gyro)))))) (. .))) +67,['entailment'],190083339.jpg#1,entailment,190083339.jpg#1r2e,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),They are walking with a sign.,( They ( ( are ( walking ( with ( a sign ) ) ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (VBG walking) (PP (IN with) (NP (DT a) (NN sign))))) (. .))) +68,['neutral'],190083339.jpg#1,neutral,190083339.jpg#1r5n,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),The woman is waiting for a friend.,( ( The woman ) ( ( is ( waiting ( for ( a friend ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG waiting) (PP (IN for) (NP (DT a) (NN friend))))) (. .))) +69,['contradiction'],190083339.jpg#1,contradiction,190083339.jpg#1r1c,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),The man is sitting down while he has a sign for John's Pizza and Gyro in his arms.,( ( The man ) ( ( is ( ( sitting down ) ( while ( he ( has ( ( a sign ) ( for ( ( ( ( John 's ) Pizza ) and ) ( Gyro ( in ( his arms ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PRT (RP down)) (SBAR (IN while) (S (NP (PRP he)) (VP (VBZ has) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NP (NP (NNP John) (POS 's)) (NNP Pizza)) (CC and) (NP (NP (NNP Gyro)) (PP (IN in) (NP (PRP$ his) (NNS arms)))))))))))) (. .))) +70,['entailment'],190083339.jpg#1,entailment,190083339.jpg#1r1e,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),The woman and man are outdoors.,( ( The ( ( woman and ) man ) ) ( ( are outdoors ) . ) ),(ROOT (S (NP (DT The) (NN woman) (CC and) (NN man)) (VP (VBP are) (ADVP (RB outdoors))) (. .))) +71,['neutral'],190083339.jpg#1,neutral,190083339.jpg#1r3n,Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background.,( ( Woman ( ( ( in ( white ( in foreground ) ) ) and ) ( ( ( a man ) slightly ) ( behind ( walking ( with ( ( a sign ) ( for John ) ) ) ) ) ) ) ) ( ( 's ( ( ( Pizza and ) Gyro ) ( in ( the background ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (PP (IN in) (NP (NP (JJ white)) (PP (IN in) (NP (NN foreground))))) (CC and) (PP (ADVP (NP (DT a) (NN man)) (RB slightly)) (IN behind) (S (VP (VBG walking) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN for) (NP (NNP John)))))))))) (VP (VBZ 's) (NP (NP (NNP Pizza) (CC and) (NNP Gyro)) (PP (IN in) (NP (DT the) (NN background))))) (. .))),A woman ordering pizza.,( ( ( A woman ) ( ordering pizza ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG ordering) (NP (NN pizza))) (. .))) +72,['neutral'],190083339.jpg#0,neutral,190083339.jpg#0r5n,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",The people are related.,( ( The people ) ( ( are related ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (ADJP (VBN related))) (. .))) +73,['contradiction'],190083339.jpg#0,contradiction,190083339.jpg#0r4c,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Two adults run across the street to get away from a red shirted person chasing them.,( ( Two adults ) ( ( run ( across ( the ( street ( to ( ( get away ) ( from ( ( a ( red ( shirted person ) ) ) ( chasing them ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS adults)) (VP (VBP run) (PP (IN across) (NP (DT the) (NN street) (S (VP (TO to) (VP (VB get) (PRT (RP away)) (PP (IN from) (NP (NP (DT a) (JJ red) (JJ shirted) (NN person)) (VP (VBG chasing) (NP (PRP them))))))))))) (. .))) +74,['entailment'],190083339.jpg#0,entailment,190083339.jpg#0r5e,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",The adults are both male and female.,( ( The adults ) ( ( are ( both ( ( male and ) female ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS adults)) (VP (VBP are) (ADJP (DT both) (JJ male) (CC and) (JJ female))) (. .))) +75,['neutral'],190083339.jpg#0,neutral,190083339.jpg#0r3n,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Two people walk home after a tasty steak dinner.,( ( Two people ) ( ( ( walk home ) ( after ( a ( tasty ( steak dinner ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP walk) (ADVP (NN home)) (PP (IN after) (NP (DT a) (JJ tasty) (NN steak) (NN dinner)))) (. .))) +76,['contradiction'],190083339.jpg#0,contradiction,190083339.jpg#0r1c,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Two adults swimming in water,( ( Two adults ) ( swimming ( in water ) ) ),(ROOT (NP (NP (CD Two) (NNS adults)) (NP (NP (NN swimming)) (PP (IN in) (NP (NN water)))))) +77,['entailment'],190083339.jpg#0,entailment,190083339.jpg#0r3e,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Two adults walk across a street.,( ( Two adults ) ( ( walk ( across ( a street ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS adults)) (VP (VBP walk) (PP (IN across) (NP (DT a) (NN street)))) (. .))) +78,['contradiction'],190083339.jpg#0,contradiction,190083339.jpg#0r3c,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Two people ride bicycles into a tunnel.,( ( Two people ) ( ( ( ride bicycles ) ( into ( a tunnel ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP ride) (NP (NNS bicycles)) (PP (IN into) (NP (DT a) (NN tunnel)))) (. .))) +79,['entailment'],190083339.jpg#0,entailment,190083339.jpg#0r2e,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Two people walk away from a restaurant across a street.,( ( Two people ) ( ( ( walk away ) ( from ( ( a restaurant ) ( across ( a street ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP walk) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN restaurant)) (PP (IN across) (NP (DT a) (NN street)))))) (. .))) +80,['neutral'],190083339.jpg#0,neutral,190083339.jpg#0r1n,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Two adults walking across a road near the convicted prisoner dressed in red,( ( ( Two adults ) ( walking ( across ( ( a road ) ( near ( the ( convicted prisoner ) ) ) ) ) ) ) ( dressed ( in red ) ) ),(ROOT (S (NP (NP (CD Two) (NNS adults)) (VP (VBG walking) (PP (IN across) (NP (NP (DT a) (NN road)) (PP (IN near) (NP (DT the) (VBN convicted) (NN prisoner))))))) (VP (VBD dressed) (PP (IN in) (NP (NN red)))))) +81,['neutral'],190083339.jpg#0,neutral,190083339.jpg#0r2n,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Two friends cross a street.,( ( Two friends ) ( ( cross ( a street ) ) . ) ),(ROOT (S (NP (CD Two) (NNS friends)) (VP (VBP cross) (NP (DT a) (NN street))) (. .))) +82,['contradiction'],190083339.jpg#0,contradiction,190083339.jpg#0r2c,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Some people board a train.,( ( ( Some ( people board ) ) ( a train ) ) . ),(ROOT (NP (NP (DT Some) (NNS people) (NN board)) (NP (DT a) (NN train)) (. .))) +83,['entailment'],190083339.jpg#0,entailment,190083339.jpg#0r4e,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Two adults walk across the street.,( ( Two adults ) ( ( walk ( across ( the street ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS adults)) (VP (VBP walk) (PP (IN across) (NP (DT the) (NN street)))) (. .))) +84,['entailment'],190083339.jpg#0,entailment,190083339.jpg#0r1e,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Two adults walking across a road,( ( Two adults ) ( walking ( across ( a road ) ) ) ),(ROOT (NP (NP (CD Two) (NNS adults)) (NP (NP (NN walking)) (PP (IN across) (NP (DT a) (NN road)))))) +85,['contradiction'],190083339.jpg#0,contradiction,190083339.jpg#0r5c,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",There are no women in the picture.,( There ( ( are ( ( no women ) ( in ( the picture ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (DT no) (NNS women)) (PP (IN in) (NP (DT the) (NN picture))))) (. .))) +86,['neutral'],190083339.jpg#0,neutral,190083339.jpg#0r4n,"Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground.","( ( ( ( ( ( ( ( ( ( Two adults ) , ) one ) ( female ( in white ) ) ) , ) ( with ( ( shades and ) ( one ( male ( , ( gray clothes ) ) ) ) ) ) ) , ) ( ( ( ( walking ( across ( a street ) ) ) , ) away ) ( from ( ( a eatery ) ( with ( ( a ( blurred image ) ) ( of ( a ( dark ( colored ( red ( shirted person ) ) ) ) ) ) ) ) ) ) ) ) ( in ( the foreground ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS adults)) (, ,) (NP (CD one))) (ADJP (JJ female) (PP (IN in) (ADJP (JJ white)))) (, ,) (PP (IN with) (NP (NP (NNS shades)) (CC and) (NP (CD one) (JJ male) (, ,) (JJ gray) (NNS clothes)))) (, ,) (VP (VBG walking) (PP (IN across) (NP (DT a) (NN street))) (, ,) (ADVP (RB away)) (PP (IN from) (NP (NP (DT a) (NN eatery)) (PP (IN with) (NP (NP (DT a) (JJ blurred) (NN image)) (PP (IN of) (NP (DT a) (JJ dark) (JJ colored) (JJ red) (VBN shirted) (NN person)))))))) (PP (IN in) (NP (DT the) (NN foreground))) (. .)))",Two adults walk across the street to get away from a red shirted person who is chasing them.,( ( Two adults ) ( ( walk ( across ( the ( street ( to ( ( get away ) ( from ( ( a ( red ( shirted person ) ) ) ( who ( is ( chasing them ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS adults)) (VP (VBP walk) (PP (IN across) (NP (DT the) (NN street) (S (VP (TO to) (VP (VB get) (PRT (RP away)) (PP (IN from) (NP (NP (DT a) (JJ red) (JJ shirted) (NN person)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG chasing) (NP (PRP them)))))))))))))) (. .))) +87,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",190083339.jpg#3,contradiction,190083339.jpg#3r1c,"A woman wearing all white and eating, walks next to a man holding a briefcase.","( ( ( A woman ) ( ( ( wearing ( all white ) ) and ) eating ) ) ( , ( ( walks ( next ( to ( ( a man ) ( holding ( a briefcase ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VP (VBG wearing) (ADJP (RB all) (JJ white))) (CC and) (VP (VBG eating)))) (, ,) (VP (VBZ walks) (ADVP (JJ next) (PP (TO to) (NP (NP (DT a) (NN man)) (VP (VBG holding) (NP (DT a) (NN briefcase))))))) (. .)))",A married couple is sleeping.,( ( A ( married couple ) ) ( ( is sleeping ) . ) ),(ROOT (S (NP (DT A) (JJ married) (NN couple)) (VP (VBZ is) (VP (VBG sleeping))) (. .))) +88,['entailment'],190083339.jpg#3,entailment,190083339.jpg#3r1e,"A woman wearing all white and eating, walks next to a man holding a briefcase.","( ( ( A woman ) ( ( ( wearing ( all white ) ) and ) eating ) ) ( , ( ( walks ( next ( to ( ( a man ) ( holding ( a briefcase ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VP (VBG wearing) (ADJP (RB all) (JJ white))) (CC and) (VP (VBG eating)))) (, ,) (VP (VBZ walks) (ADVP (JJ next) (PP (TO to) (NP (NP (DT a) (NN man)) (VP (VBG holding) (NP (DT a) (NN briefcase))))))) (. .)))",A female is next to a man.,( ( A female ) ( ( is ( next ( to ( a man ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN female)) (VP (VBZ is) (ADJP (JJ next) (PP (TO to) (NP (DT a) (NN man))))) (. .))) +89,['neutral'],190083339.jpg#3,neutral,190083339.jpg#3r1n,"A woman wearing all white and eating, walks next to a man holding a briefcase.","( ( ( A woman ) ( ( ( wearing ( all white ) ) and ) eating ) ) ( , ( ( walks ( next ( to ( ( a man ) ( holding ( a briefcase ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VP (VBG wearing) (ADJP (RB all) (JJ white))) (CC and) (VP (VBG eating)))) (, ,) (VP (VBZ walks) (ADVP (JJ next) (PP (TO to) (NP (NP (DT a) (NN man)) (VP (VBG holding) (NP (DT a) (NN briefcase))))))) (. .)))",A married couple is walking next to each other.,( ( A ( married couple ) ) ( ( is ( ( walking next ) ( to ( each other ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ married) (NN couple)) (VP (VBZ is) (VP (VBG walking) (ADVP (JJ next)) (PP (TO to) (NP (DT each) (JJ other))))) (. .))) +90,['contradiction'],190083339.jpg#2,contradiction,190083339.jpg#2r2c,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",Nobody has food.,( Nobody ( ( has food ) . ) ),(ROOT (S (NP (NN Nobody)) (VP (VBZ has) (NP (NN food))) (. .))) +91,['entailment'],190083339.jpg#2,entailment,190083339.jpg#2r4e,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))","A woman eats a banana and walks across a street, and there is a man trailing behind her.","( ( ( ( ( ( A woman ) ( ( ( eats ( a banana ) ) and ) ( walks ( across ( a street ) ) ) ) ) , ) and ) ( there ( is ( ( a man ) ( trailing ( behind her ) ) ) ) ) ) . )","(ROOT (S (S (NP (DT A) (NN woman)) (VP (VP (VBZ eats) (NP (DT a) (NN banana))) (CC and) (VP (VBZ walks) (PP (IN across) (NP (DT a) (NN street)))))) (, ,) (CC and) (S (NP (EX there)) (VP (VBZ is) (NP (NP (DT a) (NN man)) (VP (VBG trailing) (PP (IN behind) (NP (PRP her))))))) (. .)))" +92,['contradiction'],190083339.jpg#2,contradiction,190083339.jpg#2r3c,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",The woman and man are playing baseball together.,( ( The ( ( woman and ) man ) ) ( ( are ( ( playing baseball ) together ) ) . ) ),(ROOT (S (NP (DT The) (NN woman) (CC and) (NN man)) (VP (VBP are) (VP (VBG playing) (NP (NN baseball)) (ADVP (RB together)))) (. .))) +93,['neutral'],190083339.jpg#2,neutral,190083339.jpg#2r5n,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",two coworkers cross pathes on a street,( ( two coworkers ) ( ( cross pathes ) ( on ( a street ) ) ) ),(ROOT (NP (NP (CD two) (NNS coworkers)) (NP (NP (JJ cross) (NNS pathes)) (PP (IN on) (NP (DT a) (NN street)))))) +94,['contradiction'],190083339.jpg#2,contradiction,190083339.jpg#2r4c,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))","A woman eats ice cream walking down the sidewalk, and there is another woman in front of her with a purse.","( ( ( ( ( ( A woman ) ( eats ( ( ice cream ) ( ( walking down ) ( the sidewalk ) ) ) ) ) , ) and ) ( there ( is ( ( ( another woman ) ( in ( front ( of her ) ) ) ) ( with ( a purse ) ) ) ) ) ) . )","(ROOT (S (S (NP (DT A) (NN woman)) (VP (VBZ eats) (NP (NP (NN ice) (NN cream)) (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN sidewalk)))))) (, ,) (CC and) (S (NP (EX there)) (VP (VBZ is) (NP (NP (DT another) (NN woman)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (PRP her))))) (PP (IN with) (NP (DT a) (NN purse)))))) (. .)))" +95,['neutral'],190083339.jpg#2,neutral,190083339.jpg#2r3n,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",The mans briefcase is for work.,( ( The ( mans briefcase ) ) ( ( is ( for work ) ) . ) ),(ROOT (S (NP (DT The) (NNS mans) (NN briefcase)) (VP (VBZ is) (PP (IN for) (NP (NN work)))) (. .))) +96,['entailment'],190083339.jpg#2,entailment,190083339.jpg#2r2e,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",A person eating.,( ( ( A person ) eating ) . ),(ROOT (NP (NP (DT A) (NN person)) (VP (VBG eating)) (. .))) +97,['neutral'],190083339.jpg#2,neutral,190083339.jpg#2r2n,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",A person that is hungry.,( A ( ( person ( that ( is hungry ) ) ) . ) ),(ROOT (NP (DT A) (NN person) (SBAR (WHNP (WDT that)) (S (VP (VBZ is) (ADJP (JJ hungry))))) (. .))) +98,['neutral'],190083339.jpg#2,neutral,190083339.jpg#2r4n,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",An actress and her favorite assistant talk a walk in the city.,( ( ( ( An actress ) and ) ( her ( favorite assistant ) ) ) ( ( talk ( ( a walk ) ( in ( the city ) ) ) ) . ) ),(ROOT (S (NP (NP (DT An) (NN actress)) (CC and) (NP (PRP$ her) (JJ favorite) (NN assistant))) (VP (VBP talk) (NP (NP (DT a) (NN walk)) (PP (IN in) (NP (DT the) (NN city))))) (. .))) +99,['entailment'],190083339.jpg#2,entailment,190083339.jpg#2r5e,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",a woman eating a banana crosses a street,( ( ( a woman ) ( eating ( a banana ) ) ) ( crosses ( a street ) ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (VP (VBG eating) (NP (DT a) (NN banana)))) (VP (VBZ crosses) (NP (DT a) (NN street))))) +100,['neutral'],190083339.jpg#2,neutral,190083339.jpg#2r1n,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",the woman is a seductress,( ( the woman ) ( is ( a seductress ) ) ),(ROOT (S (NP (DT the) (NN woman)) (VP (VBZ is) (NP (DT a) (NNS seductress))))) +101,['contradiction'],190083339.jpg#2,contradiction,190083339.jpg#2r5c,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",a woman sits for lunch,( ( a woman ) ( sits ( for lunch ) ) ),(ROOT (S (NP (DT a) (NN woman)) (VP (VBZ sits) (PP (IN for) (NP (NN lunch)))))) +102,['contradiction'],190083339.jpg#2,contradiction,190083339.jpg#2r1c,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",the woman is having coffee at the cafe,( ( the woman ) ( is ( having ( coffee ( at ( the cafe ) ) ) ) ) ),(ROOT (S (NP (DT the) (NN woman)) (VP (VBZ is) (VP (VBG having) (NP (NP (NN coffee)) (PP (IN at) (NP (DT the) (NN cafe)))))))) +103,['entailment'],190083339.jpg#2,entailment,190083339.jpg#2r3e,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",The woman is eating a banana.,( ( The woman ) ( ( is ( eating ( a banana ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG eating) (NP (DT a) (NN banana)))) (. .))) +104,['entailment'],190083339.jpg#2,entailment,190083339.jpg#2r1e,"A woman is walking across the street eating a banana, while a man is following with his briefcase.","( ( A woman ) ( ( is ( walking ( across ( ( the street ) ( ( ( eating ( a banana ) ) , ) ( while ( ( a man ) ( is ( following ( with ( his briefcase ) ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NN street)) (VP (VBG eating) (NP (DT a) (NN banana)) (, ,) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG following) (PP (IN with) (NP (PRP$ his) (NN briefcase)))))))))))) (. .)))",the woman is outside,( ( the woman ) ( is outside ) ),(ROOT (S (NP (DT the) (NN woman)) (VP (VBZ is) (ADVP (RB outside))))) +105,['neutral'],3053415073.jpg#4,neutral,3053415073.jpg#4r1n,A skier slides along a metal rail.,( ( A skier ) ( ( slides ( along ( a ( metal rail ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN skier)) (VP (VBZ slides) (PP (IN along) (NP (DT a) (NN metal) (NN rail)))) (. .))),A skier is near the rail looking down.,( ( A skier ) ( ( ( is ( near ( the rail ) ) ) ( looking down ) ) . ) ),(ROOT (S (NP (DT A) (NN skier)) (VP (VBZ is) (ADVP (IN near) (NP (DT the) (NN rail))) (VP (VBG looking) (PRT (RP down)))) (. .))) +106,['entailment'],3053415073.jpg#4,entailment,3053415073.jpg#4r1e,A skier slides along a metal rail.,( ( A skier ) ( ( slides ( along ( a ( metal rail ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN skier)) (VP (VBZ slides) (PP (IN along) (NP (DT a) (NN metal) (NN rail)))) (. .))),A skier is near the rail.,( ( A skier ) ( ( is ( near ( the rail ) ) ) . ) ),(ROOT (S (NP (DT A) (NN skier)) (VP (VBZ is) (PP (IN near) (NP (DT the) (NN rail)))) (. .))) +107,['contradiction'],3053415073.jpg#4,contradiction,3053415073.jpg#4r1c,A skier slides along a metal rail.,( ( A skier ) ( ( slides ( along ( a ( metal rail ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN skier)) (VP (VBZ slides) (PP (IN along) (NP (DT a) (NN metal) (NN rail)))) (. .))),A skier is away from the rail.,( ( A skier ) ( ( ( is away ) ( from ( the rail ) ) ) . ) ),(ROOT (S (NP (DT A) (NN skier)) (VP (VBZ is) (ADVP (RB away)) (PP (IN from) (NP (DT the) (NN rail)))) (. .))) +108,['contradiction'],3053415073.jpg#3,contradiction,3053415073.jpg#3r1c,A person on skis on a rail at night.,( ( ( ( A person ) ( on ( skis ( on ( a rail ) ) ) ) ) ( at night ) ) . ),(ROOT (NP (NP (DT A) (NN person)) (PP (IN on) (NP (NP (NNS skis)) (PP (IN on) (NP (DT a) (NN rail))))) (PP (IN at) (NP (NN night))) (. .))),The woman eats a car,( ( The woman ) ( eats ( a car ) ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ eats) (NP (DT a) (NN car))))) +109,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",3053415073.jpg#3,entailment,3053415073.jpg#3r1e,A person on skis on a rail at night.,( ( ( ( A person ) ( on ( skis ( on ( a rail ) ) ) ) ) ( at night ) ) . ),(ROOT (NP (NP (DT A) (NN person)) (PP (IN on) (NP (NP (NNS skis)) (PP (IN on) (NP (DT a) (NN rail))))) (PP (IN at) (NP (NN night))) (. .))),The person skiis,( ( The person ) skiis ),(ROOT (S (NP (DT The) (NN person)) (VP (VBZ skiis)))) +110,['neutral'],3053415073.jpg#3,neutral,3053415073.jpg#3r1n,A person on skis on a rail at night.,( ( ( ( A person ) ( on ( skis ( on ( a rail ) ) ) ) ) ( at night ) ) . ),(ROOT (NP (NP (DT A) (NN person)) (PP (IN on) (NP (NP (NNS skis)) (PP (IN on) (NP (DT a) (NN rail))))) (PP (IN at) (NP (NN night))) (. .))),They are fantastic skiiers,( They ( are ( fantastic skiiers ) ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (NP (JJ fantastic) (NNS skiiers))))) +111,['neutral'],3053415073.jpg#2,neutral,3053415073.jpg#2r1n,A skier in electric green on the edge of a ramp made of metal bars.,( ( ( A skier ) ( in ( ( electric green ) ( on ( ( the edge ) ( of ( a ramp ) ) ) ) ) ) ) ( ( made ( of ( metal bars ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN skier)) (PP (IN in) (NP (NP (JJ electric) (NN green)) (PP (IN on) (NP (NP (DT the) (NN edge)) (PP (IN of) (NP (DT a) (NN ramp)))))))) (VP (VBD made) (PP (IN of) (NP (NN metal) (NNS bars)))) (. .))),The skier was on the edge of the ramp.,( ( The skier ) ( ( was ( on ( ( the edge ) ( of ( the ramp ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN skier)) (VP (VBD was) (PP (IN on) (NP (NP (DT the) (NN edge)) (PP (IN of) (NP (DT the) (NN ramp)))))) (. .))) +112,['entailment'],3053415073.jpg#2,entailment,3053415073.jpg#2r1e,A skier in electric green on the edge of a ramp made of metal bars.,( ( ( A skier ) ( in ( ( electric green ) ( on ( ( the edge ) ( of ( a ramp ) ) ) ) ) ) ) ( ( made ( of ( metal bars ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN skier)) (PP (IN in) (NP (NP (JJ electric) (NN green)) (PP (IN on) (NP (NP (DT the) (NN edge)) (PP (IN of) (NP (DT a) (NN ramp)))))))) (VP (VBD made) (PP (IN of) (NP (NN metal) (NNS bars)))) (. .))),The brightly dressed skier slid down the race course.,( ( The ( ( brightly dressed ) skier ) ) ( ( ( slid down ) ( the ( race course ) ) ) . ) ),(ROOT (S (NP (DT The) (ADJP (RB brightly) (VBN dressed)) (NN skier)) (VP (VBD slid) (PRT (RP down)) (NP (DT the) (NN race) (NN course))) (. .))) +113,['contradiction'],3053415073.jpg#2,contradiction,3053415073.jpg#2r1c,A skier in electric green on the edge of a ramp made of metal bars.,( ( ( A skier ) ( in ( ( electric green ) ( on ( ( the edge ) ( of ( a ramp ) ) ) ) ) ) ) ( ( made ( of ( metal bars ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN skier)) (PP (IN in) (NP (NP (JJ electric) (NN green)) (PP (IN on) (NP (NP (DT the) (NN edge)) (PP (IN of) (NP (DT a) (NN ramp)))))))) (VP (VBD made) (PP (IN of) (NP (NN metal) (NNS bars)))) (. .))),The jogger ran through the streets.,( ( The jogger ) ( ( ran ( through ( the streets ) ) ) . ) ),(ROOT (S (NP (DT The) (NN jogger)) (VP (VBD ran) (PP (IN through) (NP (DT the) (NNS streets)))) (. .))) +114,['contradiction'],3053415073.jpg#1,contradiction,3053415073.jpg#1r1c,A yellow uniformed skier is performing a trick across a railed object.,( ( A ( yellow ( uniformed skier ) ) ) ( ( is ( ( performing ( a trick ) ) ( across ( a ( railed object ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ yellow) (JJ uniformed) (NN skier)) (VP (VBZ is) (VP (VBG performing) (NP (DT a) (NN trick)) (PP (IN across) (NP (DT a) (JJ railed) (NN object))))) (. .))),A snowboarder is riding a ski lift.,( ( A snowboarder ) ( ( is ( riding ( a ( ski lift ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN snowboarder)) (VP (VBZ is) (VP (VBG riding) (NP (DT a) (JJ ski) (NN lift)))) (. .))) +115,['neutral'],3053415073.jpg#1,neutral,3053415073.jpg#1r1n,A yellow uniformed skier is performing a trick across a railed object.,( ( A ( yellow ( uniformed skier ) ) ) ( ( is ( ( performing ( a trick ) ) ( across ( a ( railed object ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ yellow) (JJ uniformed) (NN skier)) (VP (VBZ is) (VP (VBG performing) (NP (DT a) (NN trick)) (PP (IN across) (NP (DT a) (JJ railed) (NN object))))) (. .))),A skier is competing in a competition.,( ( A skier ) ( ( is ( competing ( in ( a competition ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN skier)) (VP (VBZ is) (VP (VBG competing) (PP (IN in) (NP (DT a) (NN competition))))) (. .))) +116,['entailment'],3053415073.jpg#1,entailment,3053415073.jpg#1r1e,A yellow uniformed skier is performing a trick across a railed object.,( ( A ( yellow ( uniformed skier ) ) ) ( ( is ( ( performing ( a trick ) ) ( across ( a ( railed object ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ yellow) (JJ uniformed) (NN skier)) (VP (VBZ is) (VP (VBG performing) (NP (DT a) (NN trick)) (PP (IN across) (NP (DT a) (JJ railed) (NN object))))) (. .))),Somebody is engaging in winter sports.,( Somebody ( ( is ( engaging ( in ( winter sports ) ) ) ) . ) ),(ROOT (S (NP (NN Somebody)) (VP (VBZ is) (VP (VBG engaging) (PP (IN in) (NP (NN winter) (NNS sports))))) (. .))) +117,['entailment'],4850814517.jpg#4,entailment,4850814517.jpg#4r1e,A blond man is drinking from a public fountain.,( ( A ( blond man ) ) ( ( is ( drinking ( from ( a ( public fountain ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ blond) (NN man)) (VP (VBZ is) (VP (VBG drinking) (PP (IN from) (NP (DT a) (JJ public) (NN fountain))))) (. .))),The man is drinking water.,( ( The man ) ( ( is ( drinking water ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (NN water)))) (. .))) +118,['neutral'],4850814517.jpg#4,neutral,4850814517.jpg#4r1n,A blond man is drinking from a public fountain.,( ( A ( blond man ) ) ( ( is ( drinking ( from ( a ( public fountain ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ blond) (NN man)) (VP (VBZ is) (VP (VBG drinking) (PP (IN from) (NP (DT a) (JJ public) (NN fountain))))) (. .))),The man is very thirsty.,( ( The man ) ( ( is ( very thirsty ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (ADJP (RB very) (JJ thirsty))) (. .))) +119,['contradiction'],4850814517.jpg#4,contradiction,4850814517.jpg#4r1c,A blond man is drinking from a public fountain.,( ( A ( blond man ) ) ( ( is ( drinking ( from ( a ( public fountain ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ blond) (NN man)) (VP (VBZ is) (VP (VBG drinking) (PP (IN from) (NP (DT a) (JJ public) (NN fountain))))) (. .))),The man is drinking coffee.,( ( The man ) ( ( is ( drinking coffee ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (NN coffee)))) (. .))) +120,['contradiction'],262642489.jpg#2,contradiction,262642489.jpg#2r1c,Wet brown dog swims towards camera.,( ( Wet ( brown dog ) ) ( ( swims ( towards camera ) ) . ) ),(ROOT (S (NP (NNP Wet) (JJ brown) (NN dog)) (VP (VBZ swims) (PP (IN towards) (NP (NN camera)))) (. .))),The dog is sleeping in his bed.,( ( The dog ) ( ( is ( sleeping ( in ( his bed ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN dog)) (VP (VBZ is) (VP (VBG sleeping) (PP (IN in) (NP (PRP$ his) (NN bed))))) (. .))) +121,['neutral'],262642489.jpg#2,neutral,262642489.jpg#2r1n,Wet brown dog swims towards camera.,( ( Wet ( brown dog ) ) ( ( swims ( towards camera ) ) . ) ),(ROOT (S (NP (NNP Wet) (JJ brown) (NN dog)) (VP (VBZ swims) (PP (IN towards) (NP (NN camera)))) (. .))),A dog is playing fetch in a pond.,( ( A dog ) ( ( is ( playing ( fetch ( in ( a pond ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG playing) (S (VP (VB fetch) (PP (IN in) (NP (DT a) (NN pond))))))) (. .))) +122,['entailment'],262642489.jpg#2,entailment,262642489.jpg#2r1e,Wet brown dog swims towards camera.,( ( Wet ( brown dog ) ) ( ( swims ( towards camera ) ) . ) ),(ROOT (S (NP (NNP Wet) (JJ brown) (NN dog)) (VP (VBZ swims) (PP (IN towards) (NP (NN camera)))) (. .))),A dog is in the water.,( ( A dog ) ( ( is ( in ( the water ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (PP (IN in) (NP (DT the) (NN water)))) (. .))) +123,['contradiction'],262642489.jpg#3,contradiction,262642489.jpg#3r1c,Closeup image of a dog swimming.,( ( ( Closeup image ) ( of ( a ( dog swimming ) ) ) ) . ),(ROOT (NP (NP (JJ Closeup) (NN image)) (PP (IN of) (NP (DT a) (NN dog) (NN swimming))) (. .))),A cat reluctantly takes a bath.,( ( A cat ) ( reluctantly ( ( takes ( a bath ) ) . ) ) ),(ROOT (S (NP (DT A) (NN cat)) (ADVP (RB reluctantly)) (VP (VBZ takes) (NP (DT a) (NN bath))) (. .))) +124,['neutral'],262642489.jpg#3,neutral,262642489.jpg#3r1n,Closeup image of a dog swimming.,( ( ( Closeup image ) ( of ( a ( dog swimming ) ) ) ) . ),(ROOT (NP (NP (JJ Closeup) (NN image)) (PP (IN of) (NP (DT a) (NN dog) (NN swimming))) (. .))),An underwater camera takes a photo of a puppy.,( ( An ( underwater camera ) ) ( ( takes ( ( a photo ) ( of ( a puppy ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ underwater) (NN camera)) (VP (VBZ takes) (NP (NP (DT a) (NN photo)) (PP (IN of) (NP (DT a) (NN puppy))))) (. .))) +125,['entailment'],262642489.jpg#3,entailment,262642489.jpg#3r1e,Closeup image of a dog swimming.,( ( ( Closeup image ) ( of ( a ( dog swimming ) ) ) ) . ),(ROOT (NP (NP (JJ Closeup) (NN image)) (PP (IN of) (NP (DT a) (NN dog) (NN swimming))) (. .))),A dog swims in a body of water.,( ( A dog ) ( ( swims ( in ( ( a body ) ( of water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ swims) (PP (IN in) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (. .))) +126,['neutral'],262642489.jpg#0,neutral,262642489.jpg#0r1n,The furry brown dog is swimming in the ocean.,( ( The ( ( furry brown ) dog ) ) ( ( is ( swimming ( in ( the ocean ) ) ) ) . ) ),(ROOT (S (NP (DT The) (ADJP (RB furry) (JJ brown)) (NN dog)) (VP (VBZ is) (VP (VBG swimming) (PP (IN in) (NP (DT the) (NN ocean))))) (. .))),A dog is chasing a fish.,( ( A dog ) ( ( is ( chasing ( a fish ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG chasing) (NP (DT a) (NN fish)))) (. .))) +127,['entailment'],262642489.jpg#0,entailment,262642489.jpg#0r1e,The furry brown dog is swimming in the ocean.,( ( The ( ( furry brown ) dog ) ) ( ( is ( swimming ( in ( the ocean ) ) ) ) . ) ),(ROOT (S (NP (DT The) (ADJP (RB furry) (JJ brown)) (NN dog)) (VP (VBZ is) (VP (VBG swimming) (PP (IN in) (NP (DT the) (NN ocean))))) (. .))),A dog is swimming.,( ( A dog ) ( ( is swimming ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG swimming))) (. .))) +128,['contradiction'],262642489.jpg#0,contradiction,262642489.jpg#0r1c,The furry brown dog is swimming in the ocean.,( ( The ( ( furry brown ) dog ) ) ( ( is ( swimming ( in ( the ocean ) ) ) ) . ) ),(ROOT (S (NP (DT The) (ADJP (RB furry) (JJ brown)) (NN dog)) (VP (VBZ is) (VP (VBG swimming) (PP (IN in) (NP (DT the) (NN ocean))))) (. .))),A dog is running around the yard.,( ( A dog ) ( ( is ( running ( around ( the yard ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG running) (PP (IN around) (NP (DT the) (NN yard))))) (. .))) +129,['contradiction'],262642489.jpg#1,contradiction,262642489.jpg#1r1c,A big brown dog swims towards the camera.,( ( A ( big ( brown dog ) ) ) ( ( swims ( towards ( the camera ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ big) (JJ brown) (NN dog)) (VP (VBZ swims) (PP (IN towards) (NP (DT the) (NN camera)))) (. .))),A dog is chasing a stick.,( ( A dog ) ( ( is ( chasing ( a stick ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG chasing) (NP (DT a) (NN stick)))) (. .))) +130,['neutral'],262642489.jpg#1,neutral,262642489.jpg#1r1n,A big brown dog swims towards the camera.,( ( A ( big ( brown dog ) ) ) ( ( swims ( towards ( the camera ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ big) (JJ brown) (NN dog)) (VP (VBZ swims) (PP (IN towards) (NP (DT the) (NN camera)))) (. .))),A photographer is taking pictures of a dog.,( ( A photographer ) ( ( is ( taking ( pictures ( of ( a dog ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN photographer)) (VP (VBZ is) (VP (VBG taking) (NP (NP (NNS pictures)) (PP (IN of) (NP (DT a) (NN dog)))))) (. .))) +131,['entailment'],262642489.jpg#1,entailment,262642489.jpg#1r1e,A big brown dog swims towards the camera.,( ( A ( big ( brown dog ) ) ) ( ( swims ( towards ( the camera ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ big) (JJ brown) (NN dog)) (VP (VBZ swims) (PP (IN towards) (NP (DT the) (NN camera)))) (. .))),A dog swims towards the camera.,( ( A dog ) ( ( swims ( towards ( the camera ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ swims) (PP (IN towards) (NP (DT the) (NN camera)))) (. .))) +132,"['neutral', 'entailment', 'entailment', 'neutral', 'neutral']",2848418175.jpg#0,neutral,2848418175.jpg#0r1n,"A man wearing black with a gray hat, holding a pitchfork, directs a horse-drawn cart.","( ( ( A man ) ( wearing ( black ( with ( a ( gray hat ) ) ) ) ) ) ( , ( ( holding ( a pitchfork ) ) ( , ( ( directs ( a ( horse-drawn cart ) ) ) . ) ) ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (ADJP (JJ black) (PP (IN with) (NP (DT a) (JJ gray) (NN hat)))))) (, ,) (S (VP (VBG holding) (NP (DT a) (NN pitchfork)))) (, ,) (VP (VBZ directs) (NP (DT a) (JJ horse-drawn) (NN cart))) (. .)))",The farmer wearing a gray hat is driving a horse-drawn cart.,( ( ( The farmer ) ( wearing ( a ( gray hat ) ) ) ) ( ( is ( driving ( a ( horse-drawn cart ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN farmer)) (VP (VBG wearing) (NP (DT a) (JJ gray) (NN hat)))) (VP (VBZ is) (VP (VBG driving) (NP (DT a) (JJ horse-drawn) (NN cart)))) (. .))) +133,['entailment'],2848418175.jpg#0,entailment,2848418175.jpg#0r1e,"A man wearing black with a gray hat, holding a pitchfork, directs a horse-drawn cart.","( ( ( A man ) ( wearing ( black ( with ( a ( gray hat ) ) ) ) ) ) ( , ( ( holding ( a pitchfork ) ) ( , ( ( directs ( a ( horse-drawn cart ) ) ) . ) ) ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (ADJP (JJ black) (PP (IN with) (NP (DT a) (JJ gray) (NN hat)))))) (, ,) (S (VP (VBG holding) (NP (DT a) (NN pitchfork)))) (, ,) (VP (VBZ directs) (NP (DT a) (JJ horse-drawn) (NN cart))) (. .)))",The man with the gray hat and pitchfork is directing the cart.,( ( ( The man ) ( with ( the ( gray ( ( hat and ) pitchfork ) ) ) ) ) ( ( is ( directing ( the cart ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN man)) (PP (IN with) (NP (DT the) (JJ gray) (NN hat) (CC and) (NN pitchfork)))) (VP (VBZ is) (VP (VBG directing) (NP (DT the) (NN cart)))) (. .))) +134,['contradiction'],2848418175.jpg#0,contradiction,2848418175.jpg#0r1c,"A man wearing black with a gray hat, holding a pitchfork, directs a horse-drawn cart.","( ( ( A man ) ( wearing ( black ( with ( a ( gray hat ) ) ) ) ) ) ( , ( ( holding ( a pitchfork ) ) ( , ( ( directs ( a ( horse-drawn cart ) ) ) . ) ) ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (ADJP (JJ black) (PP (IN with) (NP (DT a) (JJ gray) (NN hat)))))) (, ,) (S (VP (VBG holding) (NP (DT a) (NN pitchfork)))) (, ,) (VP (VBZ directs) (NP (DT a) (JJ horse-drawn) (NN cart))) (. .)))",The woman in a blue dress is hitching a horse to a cart.,( ( ( The woman ) ( in ( a ( blue dress ) ) ) ) ( ( is ( ( hitching ( a horse ) ) ( to ( a cart ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN woman)) (PP (IN in) (NP (DT a) (JJ blue) (NN dress)))) (VP (VBZ is) (VP (VBG hitching) (NP (DT a) (NN horse)) (PP (TO to) (NP (DT a) (NN cart))))) (. .))) +135,['entailment'],2848418175.jpg#1,entailment,2848418175.jpg#1r1e,"A man is leading a Clydesdale up a hay road, within a Old Country.","( ( A man ) ( ( is ( ( ( ( leading ( a Clydesdale ) ) ( up ( a ( hay road ) ) ) ) , ) ( within ( a ( Old Country ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG leading) (NP (DT a) (NN Clydesdale)) (PP (IN up) (NP (DT a) (NN hay) (NN road))) (, ,) (PP (IN within) (NP (DT a) (NNP Old) (NNP Country))))) (. .)))",A man is walking with his horse up a country road.,( ( A man ) ( ( is ( ( walking ( with ( his horse ) ) ) ( up ( a ( country road ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG walking) (PP (IN with) (NP (PRP$ his) (NN horse))) (PP (IN up) (NP (DT a) (NN country) (NN road))))) (. .))) +136,['contradiction'],2848418175.jpg#1,contradiction,2848418175.jpg#1r1c,"A man is leading a Clydesdale up a hay road, within a Old Country.","( ( A man ) ( ( is ( ( ( ( leading ( a Clydesdale ) ) ( up ( a ( hay road ) ) ) ) , ) ( within ( a ( Old Country ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG leading) (NP (DT a) (NN Clydesdale)) (PP (IN up) (NP (DT a) (NN hay) (NN road))) (, ,) (PP (IN within) (NP (DT a) (NNP Old) (NNP Country))))) (. .)))",A woman in a gray business suit is drinking tea.,( ( ( A woman ) ( in ( a ( gray ( business suit ) ) ) ) ) ( ( is ( drinking tea ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (JJ gray) (NN business) (NN suit)))) (VP (VBZ is) (VP (VBG drinking) (NP (NN tea)))) (. .))) +137,['neutral'],2848418175.jpg#1,neutral,2848418175.jpg#1r1n,"A man is leading a Clydesdale up a hay road, within a Old Country.","( ( A man ) ( ( is ( ( ( ( leading ( a Clydesdale ) ) ( up ( a ( hay road ) ) ) ) , ) ( within ( a ( Old Country ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG leading) (NP (DT a) (NN Clydesdale)) (PP (IN up) (NP (DT a) (NN hay) (NN road))) (, ,) (PP (IN within) (NP (DT a) (NNP Old) (NNP Country))))) (. .)))",A man in a straw hat and overalls is walking with his horse up a country road.,( ( ( A man ) ( in ( ( ( a ( straw hat ) ) and ) overalls ) ) ) ( ( is ( ( walking ( with ( his horse ) ) ) ( up ( a ( country road ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NP (DT a) (NN straw) (NN hat)) (CC and) (NP (NNS overalls))))) (VP (VBZ is) (VP (VBG walking) (PP (IN with) (NP (PRP$ his) (NN horse))) (PP (IN up) (NP (DT a) (NN country) (NN road))))) (. .))) +138,['entailment'],2848418175.jpg#2,entailment,2848418175.jpg#2r1e,A farmer fertilizing his garden with manure with a horse and wagon.,( ( A farmer ) ( ( ( ( fertilizing ( his garden ) ) ( with manure ) ) ( with ( a ( ( horse and ) wagon ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN farmer)) (VP (VBD fertilizing) (NP (PRP$ his) (NN garden)) (PP (IN with) (NP (NN manure))) (PP (IN with) (NP (DT a) (NN horse) (CC and) (NN wagon)))) (. .))),The man is fertilizering his garden.,( ( The man ) ( ( is ( fertilizering ( his garden ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG fertilizering) (NP (PRP$ his) (NN garden)))) (. .))) +139,['contradiction'],2848418175.jpg#2,contradiction,2848418175.jpg#2r1c,A farmer fertilizing his garden with manure with a horse and wagon.,( ( A farmer ) ( ( ( ( fertilizing ( his garden ) ) ( with manure ) ) ( with ( a ( ( horse and ) wagon ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN farmer)) (VP (VBD fertilizing) (NP (PRP$ his) (NN garden)) (PP (IN with) (NP (NN manure))) (PP (IN with) (NP (DT a) (NN horse) (CC and) (NN wagon)))) (. .))),The man is on the city street with his horse and wagon.,( ( The man ) ( ( is ( on ( ( the ( city street ) ) ( with ( his ( ( horse and ) wagon ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (PP (IN on) (NP (NP (DT the) (NN city) (NN street)) (PP (IN with) (NP (PRP$ his) (NN horse) (CC and) (NN wagon)))))) (. .))) +140,['neutral'],2848418175.jpg#2,neutral,2848418175.jpg#2r1n,A farmer fertilizing his garden with manure with a horse and wagon.,( ( A farmer ) ( ( ( ( fertilizing ( his garden ) ) ( with manure ) ) ( with ( a ( ( horse and ) wagon ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN farmer)) (VP (VBD fertilizing) (NP (PRP$ his) (NN garden)) (PP (IN with) (NP (NN manure))) (PP (IN with) (NP (DT a) (NN horse) (CC and) (NN wagon)))) (. .))),The man is in an open field with a horse and wagon.,( ( The man ) ( ( is ( in ( ( an ( open field ) ) ( with ( a ( ( horse and ) wagon ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (PP (IN in) (NP (NP (DT an) (JJ open) (NN field)) (PP (IN with) (NP (DT a) (NN horse) (CC and) (NN wagon)))))) (. .))) +141,['neutral'],2848418175.jpg#3,neutral,2848418175.jpg#3r1n,A white horse is pulling a cart while a man stands and watches.,( ( A ( white horse ) ) ( ( is ( ( pulling ( a cart ) ) ( while ( ( a man ) ( ( stands and ) watches ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN horse)) (VP (VBZ is) (VP (VBG pulling) (NP (DT a) (NN cart)) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VP (VBZ stands)) (CC and) (VP (VBZ watches))))))) (. .))),A horse is hauling goods.,( ( A horse ) ( ( is ( hauling goods ) ) . ) ),(ROOT (S (NP (DT A) (NN horse)) (VP (VBZ is) (VP (VBG hauling) (NP (NNS goods)))) (. .))) +142,['entailment'],2848418175.jpg#3,entailment,2848418175.jpg#3r1e,A white horse is pulling a cart while a man stands and watches.,( ( A ( white horse ) ) ( ( is ( ( pulling ( a cart ) ) ( while ( ( a man ) ( ( stands and ) watches ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN horse)) (VP (VBZ is) (VP (VBG pulling) (NP (DT a) (NN cart)) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VP (VBZ stands)) (CC and) (VP (VBZ watches))))))) (. .))),An animal is walking outside.,( ( An animal ) ( ( is ( walking outside ) ) . ) ),(ROOT (S (NP (DT An) (NN animal)) (VP (VBZ is) (VP (VBG walking) (ADVP (RB outside)))) (. .))) +143,['contradiction'],2848418175.jpg#3,contradiction,2848418175.jpg#3r1c,A white horse is pulling a cart while a man stands and watches.,( ( A ( white horse ) ) ( ( is ( ( pulling ( a cart ) ) ( while ( ( a man ) ( ( stands and ) watches ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN horse)) (VP (VBZ is) (VP (VBG pulling) (NP (DT a) (NN cart)) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VP (VBZ stands)) (CC and) (VP (VBZ watches))))))) (. .))),A man is watching a horse race.,( ( A man ) ( ( is ( watching ( a ( horse race ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG watching) (NP (DT a) (NN horse) (NN race)))) (. .))) +144,['entailment'],2677109430.jpg#2,entailment,2677109430.jpg#2r1e,A small group of church-goers watch a choir practice.,( ( ( A ( small group ) ) ( of church-goers ) ) ( ( watch ( a ( choir practice ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ small) (NN group)) (PP (IN of) (NP (NNS church-goers)))) (VP (VBP watch) (NP (DT a) (NN choir) (NN practice))) (. .))),A group watches a practice.,( ( A group ) ( ( watches ( a practice ) ) . ) ),(ROOT (S (NP (DT A) (NN group)) (VP (VBZ watches) (NP (DT a) (NN practice))) (. .))) +145,"['contradiction', 'contradiction', 'neutral', 'neutral']",2677109430.jpg#2,-,2677109430.jpg#2r1c,A small group of church-goers watch a choir practice.,( ( ( A ( small group ) ) ( of church-goers ) ) ( ( watch ( a ( choir practice ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ small) (NN group)) (PP (IN of) (NP (NNS church-goers)))) (VP (VBP watch) (NP (DT a) (NN choir) (NN practice))) (. .))),A choir performs in front of packed crowd.,( ( A choir ) ( ( performs ( in ( front ( of ( packed crowd ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN choir)) (VP (VBZ performs) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (JJ packed) (NN crowd)))))) (. .))) +146,['neutral'],2677109430.jpg#2,neutral,2677109430.jpg#2r1n,A small group of church-goers watch a choir practice.,( ( ( A ( small group ) ) ( of church-goers ) ) ( ( watch ( a ( choir practice ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ small) (NN group)) (PP (IN of) (NP (NNS church-goers)))) (VP (VBP watch) (NP (DT a) (NN choir) (NN practice))) (. .))),The pastor and elders watch the choir to make sure they are good.,( ( ( ( The pastor ) and ) elders ) ( ( watch ( ( the choir ) ( to ( make ( sure ( they ( are good ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN pastor)) (CC and) (NP (NNS elders))) (VP (VBP watch) (S (NP (DT the) (NN choir)) (VP (TO to) (VP (VB make) (ADJP (JJ sure) (SBAR (S (NP (PRP they)) (VP (VBP are) (ADJP (JJ good)))))))))) (. .))) +147,['contradiction'],2644326817.jpg#3,contradiction,2644326817.jpg#3r1c,A dog drops a red disc on a beach.,( ( A dog ) ( ( drops ( ( a ( red disc ) ) ( on ( a beach ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ drops) (NP (NP (DT a) (JJ red) (NN disc)) (PP (IN on) (NP (DT a) (NN beach))))) (. .))),a dog catch the ball on a beach,( ( a dog ) ( catch ( ( the ball ) ( on ( a beach ) ) ) ) ),(ROOT (S (NP (DT a) (NN dog)) (VP (VBP catch) (NP (NP (DT the) (NN ball)) (PP (IN on) (NP (DT a) (NN beach))))))) +148,['neutral'],2644326817.jpg#3,neutral,2644326817.jpg#3r1n,A dog drops a red disc on a beach.,( ( A dog ) ( ( drops ( ( a ( red disc ) ) ( on ( a beach ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ drops) (NP (NP (DT a) (JJ red) (NN disc)) (PP (IN on) (NP (DT a) (NN beach))))) (. .))),a dog drops a disc with a boy,( ( a dog ) ( drops ( ( a disc ) ( with ( a boy ) ) ) ) ),(ROOT (S (NP (DT a) (NN dog)) (VP (VBZ drops) (NP (NP (DT a) (NN disc)) (PP (IN with) (NP (DT a) (NN boy))))))) +149,['entailment'],2644326817.jpg#3,entailment,2644326817.jpg#3r1e,A dog drops a red disc on a beach.,( ( A dog ) ( ( drops ( ( a ( red disc ) ) ( on ( a beach ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ drops) (NP (NP (DT a) (JJ red) (NN disc)) (PP (IN on) (NP (DT a) (NN beach))))) (. .))),a dog drops a red disc,( ( a dog ) ( drops ( a ( red disc ) ) ) ),(ROOT (S (NP (DT a) (NN dog)) (VP (VBZ drops) (NP (DT a) (JJ red) (NN disc))))) +150,['neutral'],4473826637.jpg#0,neutral,4473826637.jpg#0r1n,A man and a woman are walking on a street at the top of a hill.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( walking ( on ( ( a street ) ( at ( ( the top ) ( of ( a hill ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG walking) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN at) (NP (NP (DT the) (NN top)) (PP (IN of) (NP (DT a) (NN hill))))))))) (. .))),A married couple walks atop a hill.,( ( A ( married couple ) ) ( ( walks ( atop ( a hill ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ married) (NN couple)) (VP (VBZ walks) (PP (IN atop) (NP (DT a) (NN hill)))) (. .))) +151,['entailment'],4473826637.jpg#0,entailment,4473826637.jpg#0r1e,A man and a woman are walking on a street at the top of a hill.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( walking ( on ( ( a street ) ( at ( ( the top ) ( of ( a hill ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG walking) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN at) (NP (NP (DT the) (NN top)) (PP (IN of) (NP (DT a) (NN hill))))))))) (. .))),A man and woman walk on a street.,( ( A ( ( man and ) woman ) ) ( ( walk ( on ( a street ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man) (CC and) (NN woman)) (VP (VBP walk) (PP (IN on) (NP (DT a) (NN street)))) (. .))) +152,['contradiction'],4473826637.jpg#0,contradiction,4473826637.jpg#0r1c,A man and a woman are walking on a street at the top of a hill.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( walking ( on ( ( a street ) ( at ( ( the top ) ( of ( a hill ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG walking) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN at) (NP (NP (DT the) (NN top)) (PP (IN of) (NP (DT a) (NN hill))))))))) (. .))),Two men play catch on a hill.,( ( Two men ) ( ( play ( catch ( on ( a hill ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP play) (VP (VB catch) (PP (IN on) (NP (DT a) (NN hill))))) (. .))) +153,['contradiction'],4804607632.jpg#4,contradiction,4804607632.jpg#4r1c,An elderly man is drinking orange juice at a cafe.,( ( An ( elderly man ) ) ( ( is ( ( drinking ( orange juice ) ) ( at ( a cafe ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (JJ orange) (NN juice)) (PP (IN at) (NP (DT a) (NN cafe))))) (. .))),An elderly man is drinking apple juice at a bar.,( ( An ( elderly man ) ) ( ( is ( ( drinking ( apple juice ) ) ( at ( a bar ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (NN apple) (NN juice)) (PP (IN at) (NP (DT a) (NN bar))))) (. .))) +154,['neutral'],4804607632.jpg#4,neutral,4804607632.jpg#4r1n,An elderly man is drinking orange juice at a cafe.,( ( An ( elderly man ) ) ( ( is ( ( drinking ( orange juice ) ) ( at ( a cafe ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (JJ orange) (NN juice)) (PP (IN at) (NP (DT a) (NN cafe))))) (. .))),An older gentleman is enjoying his orange juice at a new cafe.,( ( An ( older gentleman ) ) ( ( is ( ( enjoying ( his ( orange juice ) ) ) ( at ( a ( new cafe ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN gentleman)) (VP (VBZ is) (VP (VBG enjoying) (NP (PRP$ his) (JJ orange) (NN juice)) (PP (IN at) (NP (DT a) (JJ new) (NN cafe))))) (. .))) +155,['entailment'],4804607632.jpg#4,entailment,4804607632.jpg#4r1e,An elderly man is drinking orange juice at a cafe.,( ( An ( elderly man ) ) ( ( is ( ( drinking ( orange juice ) ) ( at ( a cafe ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (JJ orange) (NN juice)) (PP (IN at) (NP (DT a) (NN cafe))))) (. .))),An old man is enjoying a beverage at a cafe.,( ( An ( old man ) ) ( ( is ( ( enjoying ( a beverage ) ) ( at ( a cafe ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ old) (NN man)) (VP (VBZ is) (VP (VBG enjoying) (NP (DT a) (NN beverage)) (PP (IN at) (NP (DT a) (NN cafe))))) (. .))) +156,"['neutral', 'neutral', 'neutral', 'neutral']",4473826637.jpg#2,neutral,4473826637.jpg#2r1n,A couple holding hands walks down a street.,( ( A ( couple ( holding hands ) ) ) ( ( ( walks down ) ( a street ) ) . ) ),(ROOT (S (NP (DT A) (NN couple) (NN holding) (NNS hands)) (VP (VBZ walks) (PRT (RP down)) (NP (DT a) (NN street))) (. .))),Two men hold hands while walking down the street.,( ( Two men ) ( ( ( hold hands ) ( while ( ( walking down ) ( the street ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP hold) (NP (NNS hands)) (PP (IN while) (S (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN street)))))) (. .))) +157,['contradiction'],4473826637.jpg#2,contradiction,4473826637.jpg#2r1c,A couple holding hands walks down a street.,( ( A ( couple ( holding hands ) ) ) ( ( ( walks down ) ( a street ) ) . ) ),(ROOT (S (NP (DT A) (NN couple) (NN holding) (NNS hands)) (VP (VBZ walks) (PRT (RP down)) (NP (DT a) (NN street))) (. .))),There are people sitting on the side of the road.,( There ( ( are ( people ( sitting ( on ( ( the side ) ( of ( the road ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (VP (VBG sitting) (PP (IN on) (NP (NP (DT the) (NN side)) (PP (IN of) (NP (DT the) (NN road)))))))) (. .))) +158,['entailment'],4473826637.jpg#2,entailment,4473826637.jpg#2r1e,A couple holding hands walks down a street.,( ( A ( couple ( holding hands ) ) ) ( ( ( walks down ) ( a street ) ) . ) ),(ROOT (S (NP (DT A) (NN couple) (NN holding) (NNS hands)) (VP (VBZ walks) (PRT (RP down)) (NP (DT a) (NN street))) (. .))),People are holding hands and walking.,( People ( ( are ( ( ( holding hands ) and ) walking ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VP (VBG holding) (NP (NNS hands))) (CC and) (VP (VBG walking)))) (. .))) +159,['entailment'],4473826637.jpg#3,entailment,4473826637.jpg#3r1e,A couple walk through a white brick town.,( ( A couple ) ( ( walk ( through ( a ( white ( brick town ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP walk) (PP (IN through) (NP (DT a) (JJ white) (NN brick) (NN town)))) (. .))),People are walking outdoors.,( People ( ( are ( walking outdoors ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG walking) (ADVP (RB outdoors)))) (. .))) +160,['contradiction'],4473826637.jpg#3,contradiction,4473826637.jpg#3r1c,A couple walk through a white brick town.,( ( A couple ) ( ( walk ( through ( a ( white ( brick town ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP walk) (PP (IN through) (NP (DT a) (JJ white) (NN brick) (NN town)))) (. .))),A man and woman walk in a brown brick city.,( ( A ( ( man and ) woman ) ) ( ( walk ( in ( a ( brown ( brick city ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man) (CC and) (NN woman)) (VP (VBP walk) (PP (IN in) (NP (DT a) (JJ brown) (NN brick) (NN city)))) (. .))) +161,['neutral'],4473826637.jpg#3,neutral,4473826637.jpg#3r1n,A couple walk through a white brick town.,( ( A couple ) ( ( walk ( through ( a ( white ( brick town ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP walk) (PP (IN through) (NP (DT a) (JJ white) (NN brick) (NN town)))) (. .))),A man and woman walk through a big city.,( ( A ( ( man and ) woman ) ) ( ( walk ( through ( a ( big city ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man) (CC and) (NN woman)) (VP (VBP walk) (PP (IN through) (NP (DT a) (JJ big) (NN city)))) (. .))) +162,['contradiction'],4473826637.jpg#4,contradiction,4473826637.jpg#4r1c,Children going home from school.,( ( Children ( ( going home ) ( from school ) ) ) . ),(ROOT (NP (NP (NNS Children)) (VP (VBG going) (ADVP (NN home)) (PP (IN from) (NP (NN school)))) (. .))),The children are at the library.,( ( The children ) ( ( are ( at ( the library ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS children)) (VP (VBP are) (PP (IN at) (NP (DT the) (NN library)))) (. .))) +163,['entailment'],4473826637.jpg#4,entailment,4473826637.jpg#4r1e,Children going home from school.,( ( Children ( ( going home ) ( from school ) ) ) . ),(ROOT (NP (NP (NNS Children)) (VP (VBG going) (ADVP (NN home)) (PP (IN from) (NP (NN school)))) (. .))),The school children head home.,( ( The ( school children ) ) ( ( head home ) . ) ),(ROOT (S (NP (DT The) (NN school) (NNS children)) (VP (VBP head) (ADVP (NN home))) (. .))) +164,['neutral'],4473826637.jpg#4,neutral,4473826637.jpg#4r1n,Children going home from school.,( ( Children ( ( going home ) ( from school ) ) ) . ),(ROOT (NP (NP (NNS Children)) (VP (VBG going) (ADVP (NN home)) (PP (IN from) (NP (NN school)))) (. .))),The children are walking in the afternooon.,( ( The children ) ( ( are ( walking ( in ( the afternooon ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS children)) (VP (VBP are) (VP (VBG walking) (PP (IN in) (NP (DT the) (NN afternooon))))) (. .))) +165,['contradiction'],2677109430.jpg#4,contradiction,2677109430.jpg#4r1c,People listening to a choir in a Catholic church.,( ( People ( listening ( to ( ( a choir ) ( in ( a ( Catholic church ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG listening) (PP (TO to) (NP (NP (DT a) (NN choir)) (PP (IN in) (NP (DT a) (JJ Catholic) (NN church)))))) (. .))),People are listening to a metal band.,( People ( ( are ( listening ( to ( a ( metal band ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG listening) (PP (TO to) (NP (DT a) (NN metal) (NN band))))) (. .))) +166,['entailment'],2677109430.jpg#4,entailment,2677109430.jpg#4r1e,People listening to a choir in a Catholic church.,( ( People ( listening ( to ( ( a choir ) ( in ( a ( Catholic church ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG listening) (PP (TO to) (NP (NP (DT a) (NN choir)) (PP (IN in) (NP (DT a) (JJ Catholic) (NN church)))))) (. .))),Choir singing in mass.,( ( Choir ( singing ( in mass ) ) ) . ),(ROOT (NP (NP (NNP Choir)) (VP (VBG singing) (PP (IN in) (NP (NN mass)))) (. .))) +167,['neutral'],2677109430.jpg#4,neutral,2677109430.jpg#4r1n,People listening to a choir in a Catholic church.,( ( People ( listening ( to ( ( a choir ) ( in ( a ( Catholic church ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG listening) (PP (TO to) (NP (NP (DT a) (NN choir)) (PP (IN in) (NP (DT a) (JJ Catholic) (NN church)))))) (. .))),People are in mass for a first communion,( People ( are ( in ( mass ( for ( a ( first communion ) ) ) ) ) ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (PP (IN in) (NP (NP (NN mass)) (PP (IN for) (NP (DT a) (JJ first) (NN communion)))))))) +168,['contradiction'],1148238960.jpg#2,contradiction,1148238960.jpg#2r2c,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),A bicyclist is sitting down having lunch at the mall.,( ( A bicyclist ) ( ( is ( ( sitting down ) ( ( having lunch ) ( at ( the mall ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN bicyclist)) (VP (VBZ is) (VP (VBG sitting) (PRT (RP down)) (S (VP (VBG having) (NP (NN lunch)) (PP (IN at) (NP (DT the) (NN mall))))))) (. .))) +169,['entailment'],1148238960.jpg#2,entailment,1148238960.jpg#2r4e,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),The bicyclists are outside.,( ( The bicyclists ) ( ( are outside ) . ) ),(ROOT (S (NP (DT The) (NNS bicyclists)) (VP (VBP are) (ADJP (JJ outside))) (. .))) +170,['neutral'],1148238960.jpg#2,neutral,1148238960.jpg#2r5n,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),Bicyclists waiting for a car to pass.,( ( Bicyclists ( ( waiting ( for ( a car ) ) ) ( to pass ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN for) (NP (DT a) (NN car))) (S (VP (TO to) (VP (VB pass))))) (. .))) +171,['neutral'],1148238960.jpg#2,neutral,1148238960.jpg#2r2n,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),A person on a bike is waiting while the light is green.,( ( ( A person ) ( on ( a bike ) ) ) ( ( is ( waiting ( while ( ( the light ) ( is green ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN on) (NP (DT a) (NN bike)))) (VP (VBZ is) (VP (VBG waiting) (SBAR (IN while) (S (NP (DT the) (NN light)) (VP (VBZ is) (ADJP (JJ green))))))) (. .))) +172,['entailment'],1148238960.jpg#2,entailment,1148238960.jpg#2r1e,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),The bicycles are on a road.,( ( The bicycles ) ( ( are ( on ( a road ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS bicycles)) (VP (VBP are) (PP (IN on) (NP (DT a) (NN road)))) (. .))) +173,['entailment'],1148238960.jpg#2,entailment,1148238960.jpg#2r2e,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),A person on a bike is near a street.,( ( ( A person ) ( on ( a bike ) ) ) ( ( is ( near ( a street ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN on) (NP (DT a) (NN bike)))) (VP (VBZ is) (PP (IN near) (NP (DT a) (NN street)))) (. .))) +174,['entailment'],1148238960.jpg#2,entailment,1148238960.jpg#2r3e,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),Bikers stop and wait for traffic at the intersection.,( Bikers ( ( ( ( ( stop and ) wait ) ( for traffic ) ) ( at ( the intersection ) ) ) . ) ),(ROOT (S (NP (NNS Bikers)) (VP (VB stop) (CC and) (VB wait) (PP (IN for) (NP (NN traffic))) (PP (IN at) (NP (DT the) (NN intersection)))) (. .))) +175,['contradiction'],1148238960.jpg#2,contradiction,1148238960.jpg#2r3c,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),The bicyclists ride through the mall on their bikes.,( ( The bicyclists ) ( ( ride ( through ( ( the mall ) ( on ( their bikes ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS bicyclists)) (VP (VBP ride) (PP (IN through) (NP (NP (DT the) (NN mall)) (PP (IN on) (NP (PRP$ their) (NNS bikes)))))) (. .))) +176,['entailment'],1148238960.jpg#2,entailment,1148238960.jpg#2r5e,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),Bicyclists waiting their turn to cross.,( ( Bicyclists ( ( waiting ( their turn ) ) ( to cross ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (NP (PRP$ their) (NN turn)) (S (VP (TO to) (VP (VB cross))))) (. .))) +177,['contradiction'],1148238960.jpg#2,contradiction,1148238960.jpg#2r5c,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),Bicyclists riding along a freeway.,( ( Bicyclists ( riding ( along ( a freeway ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG riding) (PP (IN along) (NP (DT a) (NN freeway)))) (. .))) +178,['contradiction'],1148238960.jpg#2,contradiction,1148238960.jpg#2r4c,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),The bicyclists are dead.,( ( The bicyclists ) ( ( are dead ) . ) ),(ROOT (S (NP (DT The) (NNS bicyclists)) (VP (VBP are) (ADJP (JJ dead))) (. .))) +179,['neutral'],1148238960.jpg#2,neutral,1148238960.jpg#2r4n,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),The bicyclists are riding to the book store.,( ( The bicyclists ) ( ( are ( riding ( to ( the ( book store ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS bicyclists)) (VP (VBP are) (VP (VBG riding) (PP (TO to) (NP (DT the) (NN book) (NN store))))) (. .))) +180,['neutral'],1148238960.jpg#2,neutral,1148238960.jpg#2r1n,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),The bicyclists are in a race.,( ( The bicyclists ) ( ( are ( in ( a race ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS bicyclists)) (VP (VBP are) (PP (IN in) (NP (DT a) (NN race)))) (. .))) +181,['contradiction'],1148238960.jpg#2,contradiction,1148238960.jpg#2r1c,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),The bicyclists are at home.,( ( The bicyclists ) ( ( are ( at home ) ) . ) ),(ROOT (S (NP (DT The) (NNS bicyclists)) (VP (VBP are) (PP (IN at) (NP (NN home)))) (. .))) +182,['neutral'],1148238960.jpg#2,neutral,1148238960.jpg#2r3n,Bicyclists waiting at an intersection.,( ( Bicyclists ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NNPS Bicyclists)) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),A group of bicyclists remain on the sidewalk at the intersection.,( ( ( A group ) ( of bicyclists ) ) ( ( remain ( on ( ( the sidewalk ) ( at ( the intersection ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS bicyclists)))) (VP (VBP remain) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (PP (IN at) (NP (DT the) (NN intersection)))))) (. .))) +183,['contradiction'],1148238960.jpg#3,contradiction,1148238960.jpg#3r3c,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),A bunch of friends are on a boat,( ( ( A bunch ) ( of friends ) ) ( are ( on ( a boat ) ) ) ),(ROOT (S (NP (NP (DT A) (NN bunch)) (PP (IN of) (NP (NNS friends)))) (VP (VBP are) (PP (IN on) (NP (DT a) (NN boat)))))) +184,['entailment'],1148238960.jpg#3,entailment,1148238960.jpg#3r2e,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),People with bikes.,( ( People ( with bikes ) ) . ),(ROOT (NP (NP (NNS People)) (PP (IN with) (NP (NNS bikes))) (. .))) +185,['neutral'],1148238960.jpg#3,neutral,1148238960.jpg#3r5n,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),There are people on bikes at a light,( There ( are ( people ( on ( bikes ( at ( a light ) ) ) ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (PP (IN on) (NP (NP (NNS bikes)) (PP (IN at) (NP (DT a) (NN light))))))))) +186,['contradiction'],1148238960.jpg#3,contradiction,1148238960.jpg#3r5c,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),The people are inside waiting.,( ( The people ) ( ( ( are inside ) waiting ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (ADVP (RB inside)) (VP (VBG waiting))) (. .))) +187,['entailment'],1148238960.jpg#3,entailment,1148238960.jpg#3r5e,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),There are some people outside.,( There ( ( ( are ( some people ) ) outside ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (DT some) (NNS people)) (ADVP (RB outside))) (. .))) +188,['entailment'],1148238960.jpg#3,entailment,1148238960.jpg#3r3e,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),People are on their bikes.,( People ( ( are ( on ( their bikes ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (PP (IN on) (NP (PRP$ their) (NNS bikes)))) (. .))) +189,['neutral'],1148238960.jpg#3,neutral,1148238960.jpg#3r1n,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),The people are riding their bikes to the gym.,( ( The people ) ( ( are ( ( riding ( their bikes ) ) ( to ( the gym ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG riding) (NP (PRP$ their) (NNS bikes)) (PP (TO to) (NP (DT the) (NN gym))))) (. .))) +190,['neutral'],1148238960.jpg#3,neutral,1148238960.jpg#3r2n,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),People biking through the city.,( People ( ( biking ( through ( the city ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBD biking) (PP (IN through) (NP (DT the) (NN city)))) (. .))) +191,['entailment'],1148238960.jpg#3,entailment,1148238960.jpg#3r1e,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),The people are on bikes.,( ( The people ) ( ( are ( on bikes ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (PP (IN on) (NP (NNS bikes)))) (. .))) +192,['neutral'],1148238960.jpg#3,neutral,1148238960.jpg#3r3n,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),There is traffic next to the bikes.,( There ( ( is ( traffic ( next ( to ( the bikes ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (NN traffic)) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NNS bikes)))))) (. .))) +193,['contradiction'],1148238960.jpg#3,contradiction,1148238960.jpg#3r1c,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),The people are running a red light.,( ( The people ) ( ( are ( running ( a ( red light ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG running) (NP (DT a) (JJ red) (NN light)))) (. .))) +194,['contradiction'],1148238960.jpg#3,contradiction,1148238960.jpg#3r2c,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),People in a car race.,( ( People ( in ( a ( car race ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (PP (IN in) (NP (DT a) (NN car) (NN race))) (. .))) +195,['entailment'],1148238960.jpg#3,entailment,1148238960.jpg#3r4e,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),Men and women outside on a street corner.,( ( ( ( Men and ) women ) ( outside ( on ( a ( street corner ) ) ) ) ) . ),(ROOT (NP (NP (NNS Men) (CC and) (NNS women)) (PP (JJ outside) (IN on) (NP (DT a) (NN street) (NN corner))) (. .))) +196,['contradiction'],1148238960.jpg#3,contradiction,1148238960.jpg#3r4c,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),A ladybug has landed on a beautiful pink rose.,( ( A ladybug ) ( ( has ( landed ( on ( a ( beautiful ( pink rose ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN ladybug)) (VP (VBZ has) (VP (VBN landed) (PP (IN on) (NP (DT a) (JJ beautiful) (JJ pink) (NN rose))))) (. .))) +197,['neutral'],1148238960.jpg#3,neutral,1148238960.jpg#3r4n,People waiting at a light on bikes.,( ( People ( waiting ( at ( ( a light ) ( on bikes ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG waiting) (PP (IN at) (NP (NP (DT a) (NN light)) (PP (IN on) (NP (NNS bikes)))))) (. .))),"Men and women on their motorcycles, wearing helmets and protective jackets.","( ( ( ( Men and ) women ) ( on ( their motorcycles ) ) ) ( , ( ( wearing ( ( helmets and ) ( protective jackets ) ) ) . ) ) )","(ROOT (S (NP (NP (NNS Men) (CC and) (NNS women)) (PP (IN on) (NP (PRP$ their) (NNS motorcycles)))) (, ,) (VP (VBG wearing) (NP (NP (NNS helmets)) (CC and) (NP (JJ protective) (NNS jackets)))) (. .)))" +198,['contradiction'],1148238960.jpg#0,contradiction,1148238960.jpg#0r5c,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),The people are on skateboards.,( ( The people ) ( ( are ( on skateboards ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (PP (IN on) (NP (NNS skateboards)))) (. .))) +199,['entailment'],1148238960.jpg#0,entailment,1148238960.jpg#0r3e,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),People are riding their bicycles.,( People ( ( are ( riding ( their bicycles ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG riding) (NP (PRP$ their) (NNS bicycles)))) (. .))) +200,['neutral'],1148238960.jpg#0,neutral,1148238960.jpg#0r3n,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),There is a bike race happening right now.,( There ( ( is ( ( a ( bike race ) ) ( happening ( right now ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN bike) (NN race)) (VP (VBG happening) (ADVP (RB right) (RB now))))) (. .))) +201,['neutral'],1148238960.jpg#0,neutral,1148238960.jpg#0r2n,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),People on bicycles enjoy a conversation waiting for traffic.,( ( People ( on bicycles ) ) ( ( enjoy ( ( a conversation ) ( waiting ( for traffic ) ) ) ) . ) ),(ROOT (S (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBP enjoy) (NP (NP (DT a) (NN conversation)) (VP (VBG waiting) (PP (IN for) (NP (NN traffic)))))) (. .))) +202,['neutral'],1148238960.jpg#0,neutral,1148238960.jpg#0r5n,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),The people are trying to get to the convenience store across the street.,( ( The people ) ( ( are ( trying ( to ( ( get ( to ( the ( convenience store ) ) ) ) ( across ( the street ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG trying) (S (VP (TO to) (VP (VB get) (PP (TO to) (NP (DT the) (NN convenience) (NN store))) (PP (IN across) (NP (DT the) (NN street)))))))) (. .))) +203,['entailment'],1148238960.jpg#0,entailment,1148238960.jpg#0r2e,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),People wait on traffic.,( People ( ( wait ( on traffic ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP wait) (PP (IN on) (NP (NN traffic)))) (. .))) +204,['neutral'],1148238960.jpg#0,neutral,1148238960.jpg#0r4n,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),Some people on bikes are stopped at a junction.,( ( ( Some people ) ( on bikes ) ) ( ( are ( stopped ( at ( a junction ) ) ) ) . ) ),(ROOT (S (NP (NP (DT Some) (NNS people)) (PP (IN on) (NP (NNS bikes)))) (VP (VBP are) (VP (VBN stopped) (PP (IN at) (NP (DT a) (NN junction))))) (. .))) +205,['contradiction'],1148238960.jpg#0,contradiction,1148238960.jpg#0r4c,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),People are waiting on foot.,( People ( ( are ( waiting ( on foot ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG waiting) (PP (IN on) (NP (NN foot))))) (. .))) +206,['entailment'],1148238960.jpg#0,entailment,1148238960.jpg#0r4e,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),There are bicyclists stopped at a road.,( There ( ( ( are bicyclists ) ( stopped ( at ( a road ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (ADVP (RB bicyclists)) (VP (VBN stopped) (PP (IN at) (NP (DT a) (NN road))))) (. .))) +207,['contradiction'],1148238960.jpg#0,contradiction,1148238960.jpg#0r1c,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),The people are sleeping.,( ( The people ) ( ( are sleeping ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG sleeping))) (. .))) +208,['contradiction'],1148238960.jpg#0,contradiction,1148238960.jpg#0r3c,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),The people are waiting for the movie to begin.,( ( The people ) ( ( are ( ( waiting ( for ( the movie ) ) ) ( to begin ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG waiting) (PP (IN for) (NP (DT the) (NN movie))) (S (VP (TO to) (VP (VB begin)))))) (. .))) +209,['entailment'],1148238960.jpg#0,entailment,1148238960.jpg#0r5e,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),More than one person on a bicycle is obeying traffic laws.,( ( ( ( More ( than one ) ) person ) ( on ( a bicycle ) ) ) ( ( is ( obeying ( traffic laws ) ) ) . ) ),(ROOT (S (NP (NP (QP (JJR More) (IN than) (CD one)) (NN person)) (PP (IN on) (NP (DT a) (NN bicycle)))) (VP (VBZ is) (VP (VBG obeying) (NP (NN traffic) (NNS laws)))) (. .))) +210,['neutral'],1148238960.jpg#0,neutral,1148238960.jpg#0r1n,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),People are on mountain bikes.,( People ( ( are ( on ( mountain bikes ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (PP (IN on) (NP (NN mountain) (NNS bikes)))) (. .))) +211,['entailment'],1148238960.jpg#0,entailment,1148238960.jpg#0r1e,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),There are people on bicycles.,( There ( ( are ( people ( on bicycles ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (PP (IN on) (NP (NNS bicycles))))) (. .))) +212,['contradiction'],1148238960.jpg#0,contradiction,1148238960.jpg#0r2c,People on bicycles waiting at an intersection.,( ( ( People ( on bicycles ) ) ( waiting ( at ( an intersection ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VBG waiting) (PP (IN at) (NP (DT an) (NN intersection)))) (. .))),People on bicycles speed through an intersection.,( ( People ( on bicycles ) ) ( ( speed ( through ( an intersection ) ) ) . ) ),(ROOT (S (NP (NP (NNS People)) (PP (IN on) (NP (NNS bicycles)))) (VP (VB speed) (PP (IN through) (NP (DT an) (NN intersection)))) (. .))) +213,['contradiction'],3490789179.jpg#0,contradiction,3490789179.jpg#0r5c,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),The cart is empty.,( ( The cart ) ( ( is empty ) . ) ),(ROOT (S (NP (DT The) (NN cart)) (VP (VBZ is) (ADJP (JJ empty))) (. .))) +214,['contradiction'],3490789179.jpg#0,contradiction,3490789179.jpg#0r1c,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),A man is giving another man a piggyback ride.,( ( A man ) ( ( is ( ( giving ( another man ) ) ( a ( piggyback ride ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG giving) (NP (DT another) (NN man)) (NP (DT a) (NN piggyback) (NN ride)))) (. .))) +215,['entailment'],3490789179.jpg#0,entailment,3490789179.jpg#0r3e,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),A cart is full of items.,( ( A cart ) ( ( is ( full ( of items ) ) ) . ) ),(ROOT (S (NP (DT A) (NN cart)) (VP (VBZ is) (ADJP (JJ full) (PP (IN of) (NP (NNS items))))) (. .))) +216,['contradiction'],3490789179.jpg#0,contradiction,3490789179.jpg#0r4c,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),A man is sleeping under a bench.,( ( A man ) ( ( is ( sleeping ( under ( a bench ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sleeping) (PP (IN under) (NP (DT a) (NN bench))))) (. .))) +217,['entailment'],3490789179.jpg#0,entailment,3490789179.jpg#0r2e,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),A man watches another man.,( ( A man ) ( ( watches ( another man ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ watches) (NP (DT another) (NN man))) (. .))) +218,['neutral'],3490789179.jpg#0,neutral,3490789179.jpg#0r2n,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),A produce vendor is watched by a health department worker.,( ( A ( produce vendor ) ) ( ( is ( watched ( by ( a ( health ( department worker ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN produce) (NN vendor)) (VP (VBZ is) (VP (VBN watched) (PP (IN by) (NP (DT a) (NN health) (NN department) (NN worker))))) (. .))) +219,['entailment'],3490789179.jpg#0,entailment,3490789179.jpg#0r1e,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),"Someone is on top of a cart full of items, while someone else observes.","( Someone ( ( ( ( is ( on ( top ( of ( ( a cart ) ( full ( of items ) ) ) ) ) ) ) , ) ( while ( ( someone else ) observes ) ) ) . ) )","(ROOT (S (NP (NN Someone)) (VP (VBZ is) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (NN cart)) (PP (JJ full) (IN of) (NP (NNS items))))))) (, ,) (SBAR (IN while) (S (NP (NN someone) (RB else)) (VP (VBZ observes))))) (. .)))" +220,['contradiction'],3490789179.jpg#0,contradiction,3490789179.jpg#0r3c,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),The man is watching a woman.,( ( The man ) ( ( is ( watching ( a woman ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG watching) (NP (DT a) (NN woman)))) (. .))) +221,['neutral'],3490789179.jpg#0,neutral,3490789179.jpg#0r1n,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),A merchant and his assistant are trying to determine how many products are in their cart.,( ( ( ( A merchant ) and ) ( his assistant ) ) ( ( are ( trying ( to ( determine ( ( how many ) ( products ( are ( in ( their cart ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN merchant)) (CC and) (NP (PRP$ his) (NN assistant))) (VP (VBP are) (VP (VBG trying) (S (VP (TO to) (VP (VB determine) (SBAR (WHADJP (WRB how) (JJ many)) (S (NP (NNS products)) (VP (VBP are) (PP (IN in) (NP (PRP$ their) (NN cart))))))))))) (. .))) +222,['neutral'],3490789179.jpg#0,neutral,3490789179.jpg#0r5n,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),The cart is full of coal.,( ( The cart ) ( ( is ( full ( of coal ) ) ) . ) ),(ROOT (S (NP (DT The) (NN cart)) (VP (VBZ is) (ADJP (JJ full) (PP (IN of) (NP (NN coal))))) (. .))) +223,['entailment'],3490789179.jpg#0,entailment,3490789179.jpg#0r4e,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),A man is standing on top of a cart.,( ( A man ) ( ( is ( standing ( on ( top ( of ( a cart ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (DT a) (NN cart))))))) (. .))) +224,['entailment'],3490789179.jpg#0,entailment,3490789179.jpg#0r5e,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),The cart is filled to the top.,( ( The cart ) ( ( is ( filled ( to ( the top ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN cart)) (VP (VBZ is) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))) (. .))) +225,['neutral'],3490789179.jpg#0,neutral,3490789179.jpg#0r3n,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),The men are outside.,( ( The men ) ( ( are outside ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (ADJP (JJ outside))) (. .))) +226,['contradiction'],3490789179.jpg#0,contradiction,3490789179.jpg#0r2c,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),A man eats octopus.,( ( A man ) ( ( eats octopus ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ eats) (NP (NNS octopus))) (. .))) +227,['neutral'],3490789179.jpg#0,neutral,3490789179.jpg#0r4n,A man with a red shirt is watching another man who is standing on top of a attached cart filled to the top.,( ( ( A man ) ( with ( a ( red shirt ) ) ) ) ( ( is ( watching ( ( another man ) ( who ( is ( standing ( on ( top ( of ( ( a ( attached cart ) ) ( filled ( to ( the top ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT another) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NP (DT a) (JJ attached) (NN cart)) (VP (VBN filled) (PP (TO to) (NP (DT the) (NN top))))))))))))))) (. .))),A man is standing on a cart full of groceries.,( ( A man ) ( ( is ( standing ( on ( ( a cart ) ( full ( of groceries ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (DT a) (NN cart)) (PP (JJ full) (IN of) (NP (NNS groceries))))))) (. .))) +228,['entailment'],4850814517.jpg#3,entailment,4850814517.jpg#3r1e,A boy is drinking out of a water fountain shaped like a woman.,( ( A boy ) ( ( is ( ( drinking out ) ( of ( ( a ( water fountain ) ) ( shaped ( like ( a woman ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG drinking) (PRT (RP out)) (PP (IN of) (NP (NP (DT a) (NN water) (NN fountain)) (VP (VBN shaped) (PP (IN like) (NP (DT a) (NN woman)))))))) (. .))),A male is getting a drink of water.,( ( A male ) ( ( is ( getting ( ( a drink ) ( of water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN male)) (VP (VBZ is) (VP (VBG getting) (NP (NP (DT a) (NN drink)) (PP (IN of) (NP (NN water)))))) (. .))) +229,['neutral'],4850814517.jpg#3,neutral,4850814517.jpg#3r1n,A boy is drinking out of a water fountain shaped like a woman.,( ( A boy ) ( ( is ( ( drinking out ) ( of ( ( a ( water fountain ) ) ( shaped ( like ( a woman ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG drinking) (PRT (RP out)) (PP (IN of) (NP (NP (DT a) (NN water) (NN fountain)) (VP (VBN shaped) (PP (IN like) (NP (DT a) (NN woman)))))))) (. .))),A sculptor takes a drink from a fountain that he made that looks like his girlfriend.,( ( A sculptor ) ( ( ( ( takes ( a drink ) ) ( from ( a fountain ) ) ) ( that ( he ( made ( that ( looks ( like ( his girlfriend ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN sculptor)) (VP (VBZ takes) (NP (DT a) (NN drink)) (PP (IN from) (NP (DT a) (NN fountain))) (SBAR (IN that) (S (NP (PRP he)) (VP (VBD made) (SBAR (S (NP (DT that)) (VP (VBZ looks) (PP (IN like) (NP (PRP$ his) (NN girlfriend)))))))))) (. .))) +230,['contradiction'],4850814517.jpg#3,contradiction,4850814517.jpg#3r1c,A boy is drinking out of a water fountain shaped like a woman.,( ( A boy ) ( ( is ( ( drinking out ) ( of ( ( a ( water fountain ) ) ( shaped ( like ( a woman ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG drinking) (PRT (RP out)) (PP (IN of) (NP (NP (DT a) (NN water) (NN fountain)) (VP (VBN shaped) (PP (IN like) (NP (DT a) (NN woman)))))))) (. .))),A man is drinking lemonade from a glass.,( ( A man ) ( ( is ( ( drinking lemonade ) ( from ( a glass ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (NN lemonade)) (PP (IN from) (NP (DT a) (NN glass))))) (. .))) +231,['neutral'],1148238960.jpg#4,neutral,1148238960.jpg#4r4n,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),cars stop in town,( cars ( stop ( in town ) ) ),(ROOT (S (NP (NNS cars)) (ADJP (VB stop) (PP (IN in) (NP (NN town)))))) +232,['entailment'],1148238960.jpg#4,entailment,1148238960.jpg#4r4e,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),Bikers stop in towns,( Bikers ( stop ( in towns ) ) ),(ROOT (S (NP (NNS Bikers)) (ADJP (VB stop) (PP (IN in) (NP (NNS towns)))))) +233,['entailment'],1148238960.jpg#4,entailment,1148238960.jpg#4r1e,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),A town has witnessed the arrival of three bikers.,( ( A town ) ( ( has ( witnessed ( ( the arrival ) ( of ( three bikers ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN town)) (VP (VBZ has) (VP (VBN witnessed) (NP (NP (DT the) (NN arrival)) (PP (IN of) (NP (CD three) (NNS bikers)))))) (. .))) +234,['neutral'],1148238960.jpg#4,neutral,1148238960.jpg#4r5n,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),Thoes bikers are slowing down,( ( Thoes bikers ) ( are ( slowing down ) ) ),(ROOT (S (NP (NNS Thoes) (NNS bikers)) (VP (VBP are) (VP (VBG slowing) (PRT (RP down)))))) +235,['neutral'],1148238960.jpg#4,neutral,1148238960.jpg#4r1n,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),The bikers are riding Harley's.,( ( The bikers ) ( ( are ( riding ( Harley 's ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS bikers)) (VP (VBP are) (VP (VBG riding) (S (NP (NNP Harley) (POS 's))))) (. .))) +236,['contradiction'],1148238960.jpg#4,contradiction,1148238960.jpg#4r5c,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),Three bikers are going 100 mph,( ( Three bikers ) ( are ( going ( 100 mph ) ) ) ),(ROOT (S (NP (CD Three) (NNS bikers)) (VP (VBP are) (VP (VBG going) (NP (CD 100) (NN mph)))))) +237,['contradiction'],1148238960.jpg#4,contradiction,1148238960.jpg#4r4c,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),The bikers breathe water,( ( The bikers ) ( breathe water ) ),(ROOT (NP (NP (DT The) (NNS bikers)) (NP (JJ breathe) (NN water)))) +238,['entailment'],1148238960.jpg#4,entailment,1148238960.jpg#4r5e,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),Bikers stop for gas,( Bikers ( stop ( for gas ) ) ),(ROOT (S (NP (NNS Bikers)) (ADJP (VB stop) (PP (IN for) (NP (NN gas)))))) +239,['neutral'],1148238960.jpg#4,neutral,1148238960.jpg#4r2n,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),Three bicyclists are riding in a pack.,( ( Three bicyclists ) ( ( are ( riding ( in ( a pack ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS bicyclists)) (VP (VBP are) (VP (VBG riding) (PP (IN in) (NP (DT a) (NN pack))))) (. .))) +240,['contradiction'],1148238960.jpg#4,contradiction,1148238960.jpg#4r2c,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),There is a very angry dog.,( There ( ( is ( a ( ( very angry ) dog ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (DT a) (ADJP (RB very) (JJ angry)) (NN dog))) (. .))) +241,['neutral'],1148238960.jpg#4,neutral,1148238960.jpg#4r3n,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),Three bikers are taking a rest in the town.,( ( Three bikers ) ( ( are ( taking ( ( a rest ) ( in ( the town ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS bikers)) (VP (VBP are) (VP (VBG taking) (NP (NP (DT a) (NN rest)) (PP (IN in) (NP (DT the) (NN town)))))) (. .))) +242,['entailment'],1148238960.jpg#4,entailment,1148238960.jpg#4r3e,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),The bikers are in the town.,( ( The bikers ) ( ( are ( in ( the town ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS bikers)) (VP (VBP are) (PP (IN in) (NP (DT the) (NN town)))) (. .))) +243,['entailment'],1148238960.jpg#4,entailment,1148238960.jpg#4r2e,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),A group of bikers are in the street.,( ( ( A group ) ( of bikers ) ) ( ( are ( in ( the street ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS bikers)))) (VP (VBP are) (PP (IN in) (NP (DT the) (NN street)))) (. .))) +244,['contradiction'],1148238960.jpg#4,contradiction,1148238960.jpg#4r1c,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),The bikers didn't stop in the town.,( ( The bikers ) ( ( ( did n't ) ( stop ( in ( the town ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS bikers)) (VP (VBD did) (RB n't) (VP (VB stop) (PP (IN in) (NP (DT the) (NN town))))) (. .))) +245,['contradiction'],1148238960.jpg#4,contradiction,1148238960.jpg#4r3c,three bikers stop in town.,( ( three bikers ) ( ( stop ( in town ) ) . ) ),(ROOT (S (NP (CD three) (NNS bikers)) (VP (VBP stop) (PP (IN in) (NP (NN town)))) (. .))),Five bikers are riding on the road.,( ( Five bikers ) ( ( are ( riding ( on ( the road ) ) ) ) . ) ),(ROOT (S (NP (CD Five) (NNS bikers)) (VP (VBP are) (VP (VBG riding) (PP (IN on) (NP (DT the) (NN road))))) (. .))) +246,['contradiction'],3490789179.jpg#4,contradiction,3490789179.jpg#4r1c,Two people loading brush on a trailer attached to a truck.,( ( ( Two people ) ( ( loading brush ) ( on ( a trailer ) ) ) ) ( ( attached ( to ( a truck ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS people)) (VP (VBG loading) (NP (NN brush)) (PP (IN on) (NP (DT a) (NN trailer))))) (VP (VBN attached) (PP (TO to) (NP (DT a) (NN truck)))) (. .))),A man is carrying a canoe to the water.,( ( A man ) ( ( is ( ( carrying ( a canoe ) ) ( to ( the water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG carrying) (NP (DT a) (NN canoe)) (PP (TO to) (NP (DT the) (NN water))))) (. .))) +247,['entailment'],3490789179.jpg#4,entailment,3490789179.jpg#4r1e,Two people loading brush on a trailer attached to a truck.,( ( ( Two people ) ( ( loading brush ) ( on ( a trailer ) ) ) ) ( ( attached ( to ( a truck ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS people)) (VP (VBG loading) (NP (NN brush)) (PP (IN on) (NP (DT a) (NN trailer))))) (VP (VBN attached) (PP (TO to) (NP (DT a) (NN truck)))) (. .))),A couple of people are loading brush onto a trailer that is attached to a truck.,( ( ( A couple ) ( of people ) ) ( ( are ( ( loading brush ) ( onto ( ( a trailer ) ( that ( is ( attached ( to ( a truck ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN couple)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG loading) (NP (NN brush)) (PP (IN onto) (NP (NP (DT a) (NN trailer)) (SBAR (WHNP (WDT that)) (S (VP (VBZ is) (VP (VBN attached) (PP (TO to) (NP (DT a) (NN truck))))))))))) (. .))) +248,['neutral'],3490789179.jpg#4,neutral,3490789179.jpg#4r1n,Two people loading brush on a trailer attached to a truck.,( ( ( Two people ) ( ( loading brush ) ( on ( a trailer ) ) ) ) ( ( attached ( to ( a truck ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS people)) (VP (VBG loading) (NP (NN brush)) (PP (IN on) (NP (DT a) (NN trailer))))) (VP (VBN attached) (PP (TO to) (NP (DT a) (NN truck)))) (. .))),Two people loading brush on a trailer attached to a truck so they can go camping and burn it.,( ( ( Two people ) ( ( loading brush ) ( on ( a trailer ) ) ) ) ( ( ( attached ( to ( a truck ) ) ) ( so ( they ( can ( ( ( go camping ) and ) ( burn it ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS people)) (VP (VBG loading) (NP (NN brush)) (PP (IN on) (NP (DT a) (NN trailer))))) (VP (VBD attached) (PP (TO to) (NP (DT a) (NN truck))) (SBAR (IN so) (S (NP (PRP they)) (VP (MD can) (VP (VP (VB go) (NP (NN camping))) (CC and) (VP (VB burn) (NP (PRP it)))))))) (. .))) +249,['entailment'],3691765410.jpg#0,entailment,3691765410.jpg#0r5e,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",a bearded man pulls a rope,( ( a ( bearded man ) ) ( pulls ( a rope ) ) ),(ROOT (S (NP (DT a) (JJ bearded) (NN man)) (VP (VBZ pulls) (NP (DT a) (NN rope))))) +250,['neutral'],3691765410.jpg#0,neutral,3691765410.jpg#0r3n,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",A bearded man is pulling a rope at work.,( ( A ( bearded man ) ) ( ( is ( ( pulling ( a rope ) ) ( at work ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ bearded) (NN man)) (VP (VBZ is) (VP (VBG pulling) (NP (DT a) (NN rope)) (PP (IN at) (NP (NN work))))) (. .))) +251,['entailment'],3691765410.jpg#0,entailment,3691765410.jpg#0r2e,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",A man pulls on a rope.,( ( A man ) ( ( pulls ( on ( a rope ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ pulls) (PP (IN on) (NP (DT a) (NN rope)))) (. .))) +252,['neutral'],3691765410.jpg#0,neutral,3691765410.jpg#0r1n,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",The man was on the job trying to move some equipment.,( ( The man ) ( ( was ( on ( ( the job ) ( trying ( to ( move ( some equipment ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBD was) (PP (IN on) (NP (NP (DT the) (NN job)) (VP (VBG trying) (S (VP (TO to) (VP (VB move) (NP (DT some) (NN equipment))))))))) (. .))) +253,['contradiction'],3691765410.jpg#0,contradiction,3691765410.jpg#0r5c,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",a man pulls his beard,( ( a man ) ( pulls ( his beard ) ) ),(ROOT (S (NP (DT a) (NN man)) (VP (VBZ pulls) (NP (PRP$ his) (NN beard))))) +254,['contradiction'],3691765410.jpg#0,contradiction,3691765410.jpg#0r3c,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",a bearded man is pulling a car with his teeth.,( ( a ( bearded man ) ) ( ( is ( ( pulling ( a car ) ) ( with ( his teeth ) ) ) ) . ) ),(ROOT (S (NP (DT a) (JJ bearded) (NN man)) (VP (VBZ is) (VP (VBG pulling) (NP (DT a) (NN car)) (PP (IN with) (NP (PRP$ his) (NNS teeth))))) (. .))) +255,['neutral'],3691765410.jpg#0,neutral,3691765410.jpg#0r5n,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",a man competes in a rope pulling contest,( ( a man ) ( competes ( in ( a ( rope ( pulling contest ) ) ) ) ) ),(ROOT (S (NP (DT a) (NN man)) (VP (VBZ competes) (PP (IN in) (NP (DT a) (NN rope) (VBG pulling) (NN contest)))))) +256,['neutral'],3691765410.jpg#0,neutral,3691765410.jpg#0r4n,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",A man is trying to pull his car out of a lake,( ( A man ) ( is ( trying ( to ( ( ( pull ( his car ) ) out ) ( of ( a lake ) ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB pull) (NP (PRP$ his) (NN car)) (PRT (RP out)) (PP (IN of) (NP (DT a) (NN lake)))))))))) +257,['contradiction'],3691765410.jpg#0,contradiction,3691765410.jpg#0r1c,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",The man was clean shaven.,( ( The man ) ( ( was ( clean shaven ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBD was) (ADJP (JJ clean) (JJ shaven))) (. .))) +258,['entailment'],3691765410.jpg#0,entailment,3691765410.jpg#0r3e,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",A bearded man is pulling on a rope.,( ( A ( bearded man ) ) ( ( is ( pulling ( on ( a rope ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ bearded) (NN man)) (VP (VBZ is) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .))) +259,['neutral'],3691765410.jpg#0,neutral,3691765410.jpg#0r2n,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",A man is dragging a sled behind him.,( ( A man ) ( ( is ( ( dragging ( a sled ) ) ( behind him ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG dragging) (NP (DT a) (NN sled)) (PP (IN behind) (NP (PRP him))))) (. .))) +260,['contradiction'],3691765410.jpg#0,contradiction,3691765410.jpg#0r2c,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))","A man in a swimsuit, swings on a rope.","( ( ( A man ) ( in ( a swimsuit ) ) ) ( , ( ( swings ( on ( a rope ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (NN swimsuit)))) (, ,) (VP (VBZ swings) (PP (IN on) (NP (DT a) (NN rope)))) (. .)))" +261,['contradiction'],3691765410.jpg#0,contradiction,3691765410.jpg#0r4c,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",A man is wearing a black shirt,( ( A man ) ( is ( wearing ( a ( black shirt ) ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ black) (NN shirt)))))) +262,['entailment'],3691765410.jpg#0,entailment,3691765410.jpg#0r4e,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",A man is pulling on a rope.,( ( A man ) ( ( is ( pulling ( on ( a rope ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .))) +263,['entailment'],3691765410.jpg#0,entailment,3691765410.jpg#0r1e,"A man with a beard, wearing a red shirt with gray sleeves and work gloves, pulling on a rope.","( ( ( A man ) ( with ( a beard ) ) ) ( , ( ( ( ( ( wearing ( a ( red shirt ) ) ) ( with ( gray ( sleeves ( and ( work gloves ) ) ) ) ) ) , ) ( pulling ( on ( a rope ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (NN beard)))) (, ,) (VP (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)) (PP (IN with) (NP (JJ gray) (NNS sleeves) (CC and) (NN work) (NNS gloves)))) (, ,) (VP (VBG pulling) (PP (IN on) (NP (DT a) (NN rope))))) (. .)))",The man is able to grow a beard.,( ( The man ) ( ( is ( able ( to ( grow ( a beard ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (ADJP (JJ able) (S (VP (TO to) (VP (VB grow) (NP (DT a) (NN beard))))))) (. .))) +264,['contradiction'],3691765410.jpg#1,contradiction,3691765410.jpg#1r1c,A man with facial hair and a red and gray shirt tugging on a piece of rope.,( ( ( ( A man ) ( with ( ( ( facial hair ) and ) ( a ( ( ( red and ) gray ) shirt ) ) ) ) ) ( tugging ( on ( ( a piece ) ( of rope ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (PP (IN with) (NP (NP (JJ facial) (NN hair)) (CC and) (NP (DT a) (ADJP (JJ red) (CC and) (JJ gray)) (NN shirt))))) (VP (VBG tugging) (PP (IN on) (NP (NP (DT a) (NN piece)) (PP (IN of) (NP (NN rope)))))) (. .))),A man is naked on the bed.,( ( A man ) ( ( is ( naked ( on ( the bed ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (ADJP (JJ naked) (PP (IN on) (NP (DT the) (NN bed))))) (. .))) +265,['neutral'],3691765410.jpg#1,neutral,3691765410.jpg#1r1n,A man with facial hair and a red and gray shirt tugging on a piece of rope.,( ( ( ( A man ) ( with ( ( ( facial hair ) and ) ( a ( ( ( red and ) gray ) shirt ) ) ) ) ) ( tugging ( on ( ( a piece ) ( of rope ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (PP (IN with) (NP (NP (JJ facial) (NN hair)) (CC and) (NP (DT a) (ADJP (JJ red) (CC and) (JJ gray)) (NN shirt))))) (VP (VBG tugging) (PP (IN on) (NP (NP (DT a) (NN piece)) (PP (IN of) (NP (NN rope)))))) (. .))),A man is wearing a red and gray shirt.,( ( A man ) ( ( is ( wearing ( a ( ( ( red and ) gray ) shirt ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (ADJP (JJ red) (CC and) (JJ gray)) (NN shirt)))) (. .))) +266,['entailment'],3691765410.jpg#1,entailment,3691765410.jpg#1r1e,A man with facial hair and a red and gray shirt tugging on a piece of rope.,( ( ( ( A man ) ( with ( ( ( facial hair ) and ) ( a ( ( ( red and ) gray ) shirt ) ) ) ) ) ( tugging ( on ( ( a piece ) ( of rope ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (PP (IN with) (NP (NP (JJ facial) (NN hair)) (CC and) (NP (DT a) (ADJP (JJ red) (CC and) (JJ gray)) (NN shirt))))) (VP (VBG tugging) (PP (IN on) (NP (NP (DT a) (NN piece)) (PP (IN of) (NP (NN rope)))))) (. .))),A man has facial hair.,( ( A man ) ( ( has ( facial hair ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ has) (NP (JJ facial) (NN hair))) (. .))) +267,['contradiction'],6160193920.jpg#1,contradiction,6160193920.jpg#1r1c,A middle-aged oriental woman in a green headscarf and blue shirt is flashing a giant smile.,( ( ( A ( middle-aged ( oriental woman ) ) ) ( in ( ( ( a ( green headscarf ) ) and ) ( blue shirt ) ) ) ) ( ( is ( flashing ( a ( giant smile ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ middle-aged) (JJ oriental) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN headscarf)) (CC and) (NP (JJ blue) (NN shirt))))) (VP (VBZ is) (VP (VBG flashing) (NP (DT a) (JJ giant) (NN smile)))) (. .))),The middle aged oriental woman is watchingt v,( ( The ( middle ( aged ( oriental woman ) ) ) ) ( is ( watchingt v ) ) ),(ROOT (S (NP (DT The) (JJ middle) (VBN aged) (JJ oriental) (NN woman)) (VP (VBZ is) (NP (FW watchingt) (FW v))))) +268,['entailment'],6160193920.jpg#1,entailment,6160193920.jpg#1r1e,A middle-aged oriental woman in a green headscarf and blue shirt is flashing a giant smile.,( ( ( A ( middle-aged ( oriental woman ) ) ) ( in ( ( ( a ( green headscarf ) ) and ) ( blue shirt ) ) ) ) ( ( is ( flashing ( a ( giant smile ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ middle-aged) (JJ oriental) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN headscarf)) (CC and) (NP (JJ blue) (NN shirt))))) (VP (VBZ is) (VP (VBG flashing) (NP (DT a) (JJ giant) (NN smile)))) (. .))),A middle aged oriental woman in a green headscarf and blue shirt is flashing a giant smile,( ( ( A ( middle ( aged ( oriental woman ) ) ) ) ( in ( ( ( a ( green headscarf ) ) and ) ( blue shirt ) ) ) ) ( is ( flashing ( a ( giant smile ) ) ) ) ),(ROOT (S (NP (NP (DT A) (JJ middle) (JJ aged) (JJ oriental) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN headscarf)) (CC and) (NP (JJ blue) (NN shirt))))) (VP (VBZ is) (VP (VBG flashing) (NP (DT a) (JJ giant) (NN smile)))))) +269,['neutral'],6160193920.jpg#1,neutral,6160193920.jpg#1r1n,A middle-aged oriental woman in a green headscarf and blue shirt is flashing a giant smile.,( ( ( A ( middle-aged ( oriental woman ) ) ) ( in ( ( ( a ( green headscarf ) ) and ) ( blue shirt ) ) ) ) ( ( is ( flashing ( a ( giant smile ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ middle-aged) (JJ oriental) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN headscarf)) (CC and) (NP (JJ blue) (NN shirt))))) (VP (VBZ is) (VP (VBG flashing) (NP (DT a) (JJ giant) (NN smile)))) (. .))),The middle aged oriental woman is very happy,( ( The ( middle ( aged ( oriental woman ) ) ) ) ( is ( very happy ) ) ),(ROOT (S (NP (DT The) (JJ middle) (VBN aged) (JJ oriental) (NN woman)) (VP (VBZ is) (ADJP (RB very) (JJ happy))))) +270,['neutral'],6160193920.jpg#0,neutral,6160193920.jpg#0r1n,An Asian woman in a blue top and green headscarf smiling widely as another woman rows a boat in the background.,( ( ( An ( Asian woman ) ) ( in ( ( ( a ( blue top ) ) and ) ( ( green headscarf ) ( ( smiling widely ) ( as ( another woman ) ) ) ) ) ) ) ( ( ( rows ( a boat ) ) ( in ( the background ) ) ) . ) ),(ROOT (S (NP (NP (DT An) (JJ Asian) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN top)) (CC and) (NP (NP (JJ green) (NN headscarf)) (VP (VBG smiling) (ADVP (RB widely)) (PP (IN as) (NP (DT another) (NN woman)))))))) (VP (VBD rows) (NP (DT a) (NN boat)) (PP (IN in) (NP (DT the) (NN background)))) (. .))),An Asian woman is happy because she found money on the ground.,( ( An ( Asian woman ) ) ( ( ( is happy ) ( because ( she ( ( found money ) ( on ( the ground ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ Asian) (NN woman)) (VP (VBZ is) (ADJP (JJ happy)) (SBAR (IN because) (S (NP (PRP she)) (VP (VBD found) (NP (NN money)) (PP (IN on) (NP (DT the) (NN ground))))))) (. .))) +271,['entailment'],6160193920.jpg#0,entailment,6160193920.jpg#0r1e,An Asian woman in a blue top and green headscarf smiling widely as another woman rows a boat in the background.,( ( ( An ( Asian woman ) ) ( in ( ( ( a ( blue top ) ) and ) ( ( green headscarf ) ( ( smiling widely ) ( as ( another woman ) ) ) ) ) ) ) ( ( ( rows ( a boat ) ) ( in ( the background ) ) ) . ) ),(ROOT (S (NP (NP (DT An) (JJ Asian) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN top)) (CC and) (NP (NP (JJ green) (NN headscarf)) (VP (VBG smiling) (ADVP (RB widely)) (PP (IN as) (NP (DT another) (NN woman)))))))) (VP (VBD rows) (NP (DT a) (NN boat)) (PP (IN in) (NP (DT the) (NN background)))) (. .))),An Asian woman is smiling at while another lady is rowing.,( ( An ( Asian woman ) ) ( ( is ( smiling ( at ( while ( ( another lady ) ( is rowing ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ Asian) (NN woman)) (VP (VBZ is) (VP (VBG smiling) (PP (IN at) (SBAR (IN while) (S (NP (DT another) (NN lady)) (VP (VBZ is) (NP (NN rowing)))))))) (. .))) +272,['contradiction'],6160193920.jpg#0,contradiction,6160193920.jpg#0r1c,An Asian woman in a blue top and green headscarf smiling widely as another woman rows a boat in the background.,( ( ( An ( Asian woman ) ) ( in ( ( ( a ( blue top ) ) and ) ( ( green headscarf ) ( ( smiling widely ) ( as ( another woman ) ) ) ) ) ) ) ( ( ( rows ( a boat ) ) ( in ( the background ) ) ) . ) ),(ROOT (S (NP (NP (DT An) (JJ Asian) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN top)) (CC and) (NP (NP (JJ green) (NN headscarf)) (VP (VBG smiling) (ADVP (RB widely)) (PP (IN as) (NP (DT another) (NN woman)))))))) (VP (VBD rows) (NP (DT a) (NN boat)) (PP (IN in) (NP (DT the) (NN background)))) (. .))),An Asian woman is running from a dog.,( ( An ( Asian woman ) ) ( ( is ( running ( from ( a dog ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ Asian) (NN woman)) (VP (VBZ is) (VP (VBG running) (PP (IN from) (NP (DT a) (NN dog))))) (. .))) +273,['entailment'],3691765410.jpg#4,entailment,3691765410.jpg#4r1e,A boat worker securing line.,( ( ( A ( boat worker ) ) ( securing line ) ) . ),(ROOT (NP (NP (DT A) (NN boat) (NN worker)) (VP (VBG securing) (NP (NN line))) (. .))),A worker is doing something to a boat.,( ( A worker ) ( ( is ( ( doing something ) ( to ( a boat ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN worker)) (VP (VBZ is) (VP (VBG doing) (NP (NN something)) (PP (TO to) (NP (DT a) (NN boat))))) (. .))) +274,['contradiction'],3691765410.jpg#4,contradiction,3691765410.jpg#4r1c,A boat worker securing line.,( ( ( A ( boat worker ) ) ( securing line ) ) . ),(ROOT (NP (NP (DT A) (NN boat) (NN worker)) (VP (VBG securing) (NP (NN line))) (. .))),The boat worker is swimming in the ocean.,( ( The ( boat worker ) ) ( ( is ( swimming ( in ( the ocean ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boat) (NN worker)) (VP (VBZ is) (VP (VBG swimming) (PP (IN in) (NP (DT the) (NN ocean))))) (. .))) +275,['neutral'],3691765410.jpg#4,neutral,3691765410.jpg#4r1n,A boat worker securing line.,( ( ( A ( boat worker ) ) ( securing line ) ) . ),(ROOT (NP (NP (DT A) (NN boat) (NN worker)) (VP (VBG securing) (NP (NN line))) (. .))),The boat worker works hard to establish the line.,( ( The ( boat worker ) ) ( ( works ( hard ( to ( establish ( the line ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boat) (NN worker)) (VP (VBZ works) (ADJP (JJ hard) (S (VP (TO to) (VP (VB establish) (NP (DT the) (NN line))))))) (. .))) +276,['neutral'],2178064851.jpg#3,neutral,2178064851.jpg#3r1n,A small girl with a necklace is swimming.,( ( ( A ( small girl ) ) ( with ( a necklace ) ) ) ( ( is swimming ) . ) ),(ROOT (S (NP (NP (DT A) (JJ small) (NN girl)) (PP (IN with) (NP (DT a) (NN necklace)))) (VP (VBZ is) (VP (VBG swimming))) (. .))),A small girl with a necklace is swimming in a pool,( ( ( A ( small girl ) ) ( with ( a necklace ) ) ) ( is ( swimming ( in ( a pool ) ) ) ) ),(ROOT (S (NP (NP (DT A) (JJ small) (NN girl)) (PP (IN with) (NP (DT a) (NN necklace)))) (VP (VBZ is) (VP (VBG swimming) (PP (IN in) (NP (DT a) (NN pool))))))) +277,['contradiction'],2178064851.jpg#3,contradiction,2178064851.jpg#3r1c,A small girl with a necklace is swimming.,( ( ( A ( small girl ) ) ( with ( a necklace ) ) ) ( ( is swimming ) . ) ),(ROOT (S (NP (NP (DT A) (JJ small) (NN girl)) (PP (IN with) (NP (DT a) (NN necklace)))) (VP (VBZ is) (VP (VBG swimming))) (. .))),A fat girl is diving off the edge,( ( A ( fat girl ) ) ( is ( ( diving off ) ( the edge ) ) ) ),(ROOT (S (NP (DT A) (JJ fat) (NN girl)) (VP (VBZ is) (VP (VBG diving) (PRT (RP off)) (NP (DT the) (NN edge)))))) +278,['entailment'],2178064851.jpg#3,entailment,2178064851.jpg#3r1e,A small girl with a necklace is swimming.,( ( ( A ( small girl ) ) ( with ( a necklace ) ) ) ( ( is swimming ) . ) ),(ROOT (S (NP (NP (DT A) (JJ small) (NN girl)) (PP (IN with) (NP (DT a) (NN necklace)))) (VP (VBZ is) (VP (VBG swimming))) (. .))),A small girl with a necklace is in the water,( ( ( A ( small girl ) ) ( with ( a necklace ) ) ) ( is ( in ( the water ) ) ) ),(ROOT (S (NP (NP (DT A) (JJ small) (NN girl)) (PP (IN with) (NP (DT a) (NN necklace)))) (VP (VBZ is) (PP (IN in) (NP (DT the) (NN water)))))) +279,['contradiction'],3557316485.jpg#2,contradiction,3557316485.jpg#2r1c,a skateboarder skates in the pool.,( ( a skateboarder ) ( ( skates ( in ( the pool ) ) ) . ) ),(ROOT (S (NP (DT a) (NN skateboarder)) (VP (VBZ skates) (PP (IN in) (NP (DT the) (NN pool)))) (. .))),A skate swims in the pool.,( ( A skate ) ( ( swims ( in ( the pool ) ) ) . ) ),(ROOT (S (NP (DT A) (NN skate)) (VP (VBZ swims) (PP (IN in) (NP (DT the) (NN pool)))) (. .))) +280,['entailment'],3557316485.jpg#2,entailment,3557316485.jpg#2r1e,a skateboarder skates in the pool.,( ( a skateboarder ) ( ( skates ( in ( the pool ) ) ) . ) ),(ROOT (S (NP (DT a) (NN skateboarder)) (VP (VBZ skates) (PP (IN in) (NP (DT the) (NN pool)))) (. .))),A skater is in the pool.,( ( A skater ) ( ( is ( in ( the pool ) ) ) . ) ),(ROOT (S (NP (DT A) (NN skater)) (VP (VBZ is) (PP (IN in) (NP (DT the) (NN pool)))) (. .))) +281,['neutral'],3557316485.jpg#2,neutral,3557316485.jpg#2r1n,a skateboarder skates in the pool.,( ( a skateboarder ) ( ( skates ( in ( the pool ) ) ) . ) ),(ROOT (S (NP (DT a) (NN skateboarder)) (VP (VBZ skates) (PP (IN in) (NP (DT the) (NN pool)))) (. .))),A skater grinds on the lip of the pool.,( ( A skater ) ( ( grinds ( on ( ( the lip ) ( of ( the pool ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN skater)) (VP (VBZ grinds) (PP (IN on) (NP (NP (DT the) (NN lip)) (PP (IN of) (NP (DT the) (NN pool)))))) (. .))) +282,['contradiction'],3706019259.jpg#0,contradiction,3706019259.jpg#0r1c,"A couple, who appear to be Indian or Pakistani, walk on a path beside a body of water, the mother carrying a child in a diaper, the father wrapped in a blanket with the logo of the humanitarian organization ""Save the Children.""","( ( ( ( ( A couple ) , ) ( who ( appear ( to ( be ( ( Indian or ) Pakistani ) ) ) ) ) ) , ) ( ( ( ( ( ( walk ( on ( a path ) ) ) ( beside ( ( a body ) ( of water ) ) ) ) , ) ( ( the mother ) ( ( carrying ( a child ) ) ( in ( ( ( a diaper ) , ) ( ( the father ) ( ( wrapped ( in ( a blanket ) ) ) ( with ( ( the logo ) ( of ( the ( humanitarian ( organization ( `` ( Save ( the Children ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) . ) '' ) )","(ROOT (S (NP (NP (DT A) (NN couple)) (, ,) (SBAR (WHNP (WP who)) (S (VP (VBP appear) (S (VP (TO to) (VP (VB be) (NP (NNP Indian) (CC or) (NNP Pakistani)))))))) (, ,)) (VP (VBP walk) (PP (IN on) (NP (DT a) (NN path))) (PP (IN beside) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water))))) (, ,) (NP (NP (DT the) (NN mother)) (VP (VBG carrying) (NP (DT a) (NN child)) (PP (IN in) (NP (NP (DT a) (NN diaper)) (, ,) (NP (NP (DT the) (NN father)) (VP (VBN wrapped) (PP (IN in) (NP (DT a) (NN blanket))) (PP (IN with) (NP (NP (DT the) (NN logo)) (PP (IN of) (NP (DT the) (JJ humanitarian) (NN organization) (`` ``) (NNP Save) (DT the) (NNP Children)))))))))))) (. .) ('' '')))",A man is wrapped in a UNICEF blanket.,( ( A man ) ( ( is ( wrapped ( in ( a ( UNICEF blanket ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBN wrapped) (PP (IN in) (NP (DT a) (NNP UNICEF) (NN blanket))))) (. .))) +283,['entailment'],3706019259.jpg#0,entailment,3706019259.jpg#0r1e,"A couple, who appear to be Indian or Pakistani, walk on a path beside a body of water, the mother carrying a child in a diaper, the father wrapped in a blanket with the logo of the humanitarian organization ""Save the Children.""","( ( ( ( ( A couple ) , ) ( who ( appear ( to ( be ( ( Indian or ) Pakistani ) ) ) ) ) ) , ) ( ( ( ( ( ( walk ( on ( a path ) ) ) ( beside ( ( a body ) ( of water ) ) ) ) , ) ( ( the mother ) ( ( carrying ( a child ) ) ( in ( ( ( a diaper ) , ) ( ( the father ) ( ( wrapped ( in ( a blanket ) ) ) ( with ( ( the logo ) ( of ( the ( humanitarian ( organization ( `` ( Save ( the Children ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) . ) '' ) )","(ROOT (S (NP (NP (DT A) (NN couple)) (, ,) (SBAR (WHNP (WP who)) (S (VP (VBP appear) (S (VP (TO to) (VP (VB be) (NP (NNP Indian) (CC or) (NNP Pakistani)))))))) (, ,)) (VP (VBP walk) (PP (IN on) (NP (DT a) (NN path))) (PP (IN beside) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water))))) (, ,) (NP (NP (DT the) (NN mother)) (VP (VBG carrying) (NP (DT a) (NN child)) (PP (IN in) (NP (NP (DT a) (NN diaper)) (, ,) (NP (NP (DT the) (NN father)) (VP (VBN wrapped) (PP (IN in) (NP (DT a) (NN blanket))) (PP (IN with) (NP (NP (DT the) (NN logo)) (PP (IN of) (NP (DT the) (JJ humanitarian) (NN organization) (`` ``) (NNP Save) (DT the) (NNP Children)))))))))))) (. .) ('' '')))",A couple carrying a child are walking along water.,( ( ( A couple ) ( carrying ( a child ) ) ) ( ( are ( walking ( along water ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN couple)) (VP (VBG carrying) (NP (DT a) (NN child)))) (VP (VBP are) (VP (VBG walking) (PP (IN along) (NP (NN water))))) (. .))) +284,['neutral'],3706019259.jpg#0,neutral,3706019259.jpg#0r1n,"A couple, who appear to be Indian or Pakistani, walk on a path beside a body of water, the mother carrying a child in a diaper, the father wrapped in a blanket with the logo of the humanitarian organization ""Save the Children.""","( ( ( ( ( A couple ) , ) ( who ( appear ( to ( be ( ( Indian or ) Pakistani ) ) ) ) ) ) , ) ( ( ( ( ( ( walk ( on ( a path ) ) ) ( beside ( ( a body ) ( of water ) ) ) ) , ) ( ( the mother ) ( ( carrying ( a child ) ) ( in ( ( ( a diaper ) , ) ( ( the father ) ( ( wrapped ( in ( a blanket ) ) ) ( with ( ( the logo ) ( of ( the ( humanitarian ( organization ( `` ( Save ( the Children ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) . ) '' ) )","(ROOT (S (NP (NP (DT A) (NN couple)) (, ,) (SBAR (WHNP (WP who)) (S (VP (VBP appear) (S (VP (TO to) (VP (VB be) (NP (NNP Indian) (CC or) (NNP Pakistani)))))))) (, ,)) (VP (VBP walk) (PP (IN on) (NP (DT a) (NN path))) (PP (IN beside) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water))))) (, ,) (NP (NP (DT the) (NN mother)) (VP (VBG carrying) (NP (DT a) (NN child)) (PP (IN in) (NP (NP (DT a) (NN diaper)) (, ,) (NP (NP (DT the) (NN father)) (VP (VBN wrapped) (PP (IN in) (NP (DT a) (NN blanket))) (PP (IN with) (NP (NP (DT the) (NN logo)) (PP (IN of) (NP (DT the) (JJ humanitarian) (NN organization) (`` ``) (NNP Save) (DT the) (NNP Children)))))))))))) (. .) ('' '')))",An Indian couple is seeking refuge with a humanitarian organization.,( ( An ( Indian couple ) ) ( ( is ( ( seeking refuge ) ( with ( a ( humanitarian organization ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ Indian) (NN couple)) (VP (VBZ is) (VP (VBG seeking) (NP (NN refuge)) (PP (IN with) (NP (DT a) (JJ humanitarian) (NN organization))))) (. .))) +285,['entailment'],3706019259.jpg#1,entailment,3706019259.jpg#1r1e,"There is a woman holding a baby, along with a man with a save the children bag.","( There ( ( is ( ( a woman ) ( holding ( ( ( ( a baby ) , ) ( along ( with ( ( a man ) ( with ( a save ) ) ) ) ) ) ( the ( children bag ) ) ) ) ) ) . ) )","(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN woman)) (VP (VBG holding) (NP (NP (DT a) (NN baby)) (, ,) (ADVP (IN along) (PP (IN with) (NP (NP (DT a) (NN man)) (PP (IN with) (NP (DT a) (NN save)))))) (NP (DT the) (NNS children) (NN bag)))))) (. .)))",A group of people are possing for an add.,( ( ( A group ) ( of people ) ) ( ( are ( possing ( for ( an add ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG possing) (PP (IN for) (NP (DT an) (NN add))))) (. .))) +286,['neutral'],3706019259.jpg#1,neutral,3706019259.jpg#1r1n,"There is a woman holding a baby, along with a man with a save the children bag.","( There ( ( is ( ( a woman ) ( holding ( ( ( ( a baby ) , ) ( along ( with ( ( a man ) ( with ( a save ) ) ) ) ) ) ( the ( children bag ) ) ) ) ) ) . ) )","(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN woman)) (VP (VBG holding) (NP (NP (DT a) (NN baby)) (, ,) (ADVP (IN along) (PP (IN with) (NP (NP (DT a) (NN man)) (PP (IN with) (NP (DT a) (NN save)))))) (NP (DT the) (NNS children) (NN bag)))))) (. .)))",A man and a woman are hoding their son.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( hoding ( their son ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG hoding) (NP (PRP$ their) (NN son)))) (. .))) +287,['contradiction'],3706019259.jpg#1,contradiction,3706019259.jpg#1r1c,"There is a woman holding a baby, along with a man with a save the children bag.","( There ( ( is ( ( a woman ) ( holding ( ( ( ( a baby ) , ) ( along ( with ( ( a man ) ( with ( a save ) ) ) ) ) ) ( the ( children bag ) ) ) ) ) ) . ) )","(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN woman)) (VP (VBG holding) (NP (NP (DT a) (NN baby)) (, ,) (ADVP (IN along) (PP (IN with) (NP (NP (DT a) (NN man)) (PP (IN with) (NP (DT a) (NN save)))))) (NP (DT the) (NNS children) (NN bag)))))) (. .)))",A man is watching an airplane.,( ( A man ) ( ( is ( watching ( an airplane ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG watching) (NP (DT an) (NN airplane)))) (. .))) +288,['contradiction'],3706019259.jpg#2,contradiction,3706019259.jpg#2r1c,"A family with a baby, the father is wearing a save the children sign.","( ( ( A family ) ( with ( ( ( a baby ) , ) ( the father ) ) ) ) ( ( is ( ( wearing ( a save ) ) ( the ( children sign ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN family)) (PP (IN with) (NP (NP (DT a) (NN baby)) (, ,) (NP (DT the) (NN father))))) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN save)) (NP (DT the) (NNS children) (NN sign)))) (. .)))",Three adults are pictured.,( ( Three adults ) ( ( are pictured ) . ) ),(ROOT (S (NP (CD Three) (NNS adults)) (VP (VBP are) (VP (VBN pictured))) (. .))) +289,['entailment'],3706019259.jpg#2,entailment,3706019259.jpg#2r1e,"A family with a baby, the father is wearing a save the children sign.","( ( ( A family ) ( with ( ( ( a baby ) , ) ( the father ) ) ) ) ( ( is ( ( wearing ( a save ) ) ( the ( children sign ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN family)) (PP (IN with) (NP (NP (DT a) (NN baby)) (, ,) (NP (DT the) (NN father))))) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN save)) (NP (DT the) (NNS children) (NN sign)))) (. .)))",A man is wearing something with writing on it.,( ( A man ) ( ( is ( ( wearing something ) ( with ( writing ( on it ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG wearing) (NP (NN something)) (PP (IN with) (S (VP (VBG writing) (PP (IN on) (NP (PRP it)))))))) (. .))) +290,['neutral'],3706019259.jpg#2,neutral,3706019259.jpg#2r1n,"A family with a baby, the father is wearing a save the children sign.","( ( ( A family ) ( with ( ( ( a baby ) , ) ( the father ) ) ) ) ( ( is ( ( wearing ( a save ) ) ( the ( children sign ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN family)) (PP (IN with) (NP (NP (DT a) (NN baby)) (, ,) (NP (DT the) (NN father))))) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN save)) (NP (DT the) (NNS children) (NN sign)))) (. .)))",A woman is holding a baby.,( ( A woman ) ( ( is ( holding ( a baby ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG holding) (NP (DT a) (NN baby)))) (. .))) +291,['contradiction'],3706019259.jpg#3,contradiction,3706019259.jpg#3r3c,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),they are riding a bike,( they ( are ( riding ( a bike ) ) ) ),(ROOT (S (NP (PRP they)) (VP (VBP are) (VP (VBG riding) (NP (DT a) (NN bike)))))) +292,['neutral'],3706019259.jpg#3,neutral,3706019259.jpg#3r1n,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),People are walking next to a lake.,( People ( ( are ( ( walking next ) ( to ( a lake ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG walking) (ADVP (JJ next)) (PP (TO to) (NP (DT a) (NN lake))))) (. .))) +293,['neutral'],3706019259.jpg#3,neutral,3706019259.jpg#3r4n,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),A foreigner group of cousins hike along a trail next to a stream.,( ( ( A ( foreigner group ) ) ( of cousins ) ) ( ( hike ( along ( ( a trail ) ( next ( to ( a stream ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN foreigner) (NN group)) (PP (IN of) (NP (NNS cousins)))) (VP (VBD hike) (PP (IN along) (NP (NP (DT a) (NN trail)) (ADVP (JJ next) (PP (TO to) (NP (DT a) (NN stream))))))) (. .))) +294,['entailment'],3706019259.jpg#3,entailment,3706019259.jpg#3r4e,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),A foreign family walks by a dirt trail along a body of water.,( ( A ( foreign family ) ) ( ( walks ( by ( ( a ( dirt trail ) ) ( along ( ( a body ) ( of water ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ walks) (PP (IN by) (NP (NP (DT a) (NN dirt) (NN trail)) (PP (IN along) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))))) (. .))) +295,['entailment'],3706019259.jpg#3,entailment,3706019259.jpg#3r3e,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),The family is admiring the water,( ( The family ) ( is ( admiring ( the water ) ) ) ),(ROOT (S (NP (DT The) (NN family)) (VP (VBZ is) (VP (VBG admiring) (NP (DT the) (NN water)))))) +296,['contradiction'],3706019259.jpg#3,contradiction,3706019259.jpg#3r1c,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),The people are driving a car on the freeway.,( ( The people ) ( ( are ( driving ( ( a car ) ( on ( the freeway ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG driving) (NP (NP (DT a) (NN car)) (PP (IN on) (NP (DT the) (NN freeway)))))) (. .))) +297,['contradiction'],3706019259.jpg#3,contradiction,3706019259.jpg#3r2c,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),A family of foreigners swims in the water.,( ( ( A family ) ( of foreigners ) ) ( ( swims ( in ( the water ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN family)) (PP (IN of) (NP (NNS foreigners)))) (VP (VBZ swims) (PP (IN in) (NP (DT the) (NN water)))) (. .))) +298,['neutral'],3706019259.jpg#3,neutral,3706019259.jpg#3r3n,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),they are trying not to fall in the water,( they ( are ( trying ( not ( to ( fall ( in ( the water ) ) ) ) ) ) ) ),(ROOT (S (NP (PRP they)) (VP (VBP are) (VP (VBG trying) (S (RB not) (VP (TO to) (VP (VB fall) (PP (IN in) (NP (DT the) (NN water)))))))))) +299,['contradiction'],3706019259.jpg#3,contradiction,3706019259.jpg#3r4c,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),A group of locals run on a dirt trail next to a frozen stream.,( ( ( A group ) ( of locals ) ) ( ( ( run ( on ( a ( dirt trail ) ) ) ) ( next ( to ( a ( frozen stream ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS locals)))) (VP (VBP run) (PP (IN on) (NP (DT a) (NN dirt) (NN trail))) (ADVP (JJ next) (PP (TO to) (NP (DT a) (VBN frozen) (NN stream))))) (. .))) +300,['entailment'],3706019259.jpg#3,entailment,3706019259.jpg#3r2e,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),A family of foreigners walks by the water.,( ( ( A family ) ( of foreigners ) ) ( ( walks ( by ( the water ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN family)) (PP (IN of) (NP (NNS foreigners)))) (VP (VBZ walks) (PP (IN by) (NP (DT the) (NN water)))) (. .))) +301,['entailment'],3706019259.jpg#3,entailment,3706019259.jpg#3r5e,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),A family walks along a dirt path.,( ( A family ) ( ( walks ( along ( a ( dirt path ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN family)) (VP (VBZ walks) (PP (IN along) (NP (DT a) (NN dirt) (NN path)))) (. .))) +302,['contradiction'],3706019259.jpg#3,contradiction,3706019259.jpg#3r5c,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),A family plays board games at their dinner table.,( ( A family ) ( ( ( plays ( board games ) ) ( at ( their ( dinner table ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN family)) (VP (VBZ plays) (NP (NN board) (NNS games)) (PP (IN at) (NP (PRP$ their) (NN dinner) (NN table)))) (. .))) +303,['entailment'],3706019259.jpg#3,entailment,3706019259.jpg#3r1e,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),There is a family taking a walk outside.,( There ( ( is ( ( a family ) ( ( taking ( a walk ) ) outside ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN family)) (VP (VBG taking) (NP (DT a) (NN walk)) (ADVP (RB outside))))) (. .))) +304,['neutral'],3706019259.jpg#3,neutral,3706019259.jpg#3r5n,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),A family walks along a dirt path in a forest by a pond.,( ( A family ) ( ( ( walks ( along ( ( a ( dirt path ) ) ( in ( a forest ) ) ) ) ) ( by ( a pond ) ) ) . ) ),(ROOT (S (NP (DT A) (NN family)) (VP (VBZ walks) (PP (IN along) (NP (NP (DT a) (NN dirt) (NN path)) (PP (IN in) (NP (DT a) (NN forest))))) (PP (IN by) (NP (DT a) (NN pond)))) (. .))) +305,['neutral'],3706019259.jpg#3,neutral,3706019259.jpg#3r2n,A foreign family is walking along a dirt path next to the water.,( ( A ( foreign family ) ) ( ( is ( ( walking ( along ( a ( dirt path ) ) ) ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ foreign) (NN family)) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN dirt) (NN path))) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),A family of foreigners walks by the lake.,( ( ( A family ) ( of foreigners ) ) ( ( walks ( by ( the lake ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN family)) (PP (IN of) (NP (NNS foreigners)))) (VP (VBZ walks) (PP (IN by) (NP (DT the) (NN lake)))) (. .))) +306,['entailment'],6526219567.jpg#1,entailment,6526219567.jpg#1r1e,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",People are looking at sculptures at a museum.,( People ( ( are ( looking ( at ( sculptures ( at ( a museum ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG looking) (PP (IN at) (NP (NP (NNS sculptures)) (PP (IN at) (NP (DT a) (NN museum))))))) (. .))) +307,['entailment'],6526219567.jpg#1,entailment,6526219567.jpg#1r4e,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",There are people next to sculptures.,( There ( ( ( are people ) ( next ( to sculptures ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NNS people)) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures))))) (. .))) +308,['neutral'],6526219567.jpg#1,neutral,6526219567.jpg#1r3n,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",A man and a woman are happily standing.,( ( ( ( A man ) and ) ( a woman ) ) ( ( ( are happily ) standing ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (ADVP (RB happily)) (VP (VBG standing))) (. .))) +309,['entailment'],6526219567.jpg#1,entailment,6526219567.jpg#1r2e,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",People standing near sculptures,( People ( standing ( near sculptures ) ) ),(ROOT (NP (NP (NNS People)) (NP (NP (NN standing)) (PP (IN near) (NP (NNS sculptures)))))) +310,['contradiction'],6526219567.jpg#1,contradiction,6526219567.jpg#1r1c,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",Three people are looking at painting at a school fair.,( ( Three people ) ( ( are ( looking ( at ( painting ( at ( a ( school fair ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS people)) (VP (VBP are) (VP (VBG looking) (PP (IN at) (S (VP (VBG painting) (PP (IN at) (NP (DT a) (NN school) (NN fair)))))))) (. .))) +311,['contradiction'],6526219567.jpg#1,contradiction,6526219567.jpg#1r2c,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",Nobody is standing.,( Nobody ( ( is standing ) . ) ),(ROOT (S (NP (NN Nobody)) (VP (VBZ is) (VP (VBG standing))) (. .))) +312,['neutral'],6526219567.jpg#1,neutral,6526219567.jpg#1r5n,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",The sculptures are a recent creation.,( ( The sculptures ) ( ( are ( a ( recent creation ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS sculptures)) (VP (VBP are) (NP (DT a) (JJ recent) (NN creation))) (. .))) +313,['entailment'],6526219567.jpg#1,entailment,6526219567.jpg#1r3e,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",A man and a woman are standing.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are standing ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing))) (. .))) +314,['neutral'],6526219567.jpg#1,neutral,6526219567.jpg#1r2n,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",Tall people standing,( ( Tall people ) standing ),(ROOT (NP (NP (JJ Tall) (NNS people)) (NP (NN standing)))) +315,['contradiction'],6526219567.jpg#1,contradiction,6526219567.jpg#1r4c,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",The is a single sculpture.,( The ( ( is ( a ( single sculpture ) ) ) . ) ),(ROOT (S (NP (NNP The)) (VP (VBZ is) (NP (DT a) (JJ single) (NN sculpture))) (. .))) +316,['contradiction'],6526219567.jpg#1,contradiction,6526219567.jpg#1r5c,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",The man and woman are standing by a swimming pool.,( ( The ( ( man and ) woman ) ) ( ( are ( standing ( by ( a ( swimming pool ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man) (CC and) (NN woman)) (VP (VBP are) (VP (VBG standing) (PP (IN by) (NP (DT a) (VBG swimming) (NN pool))))) (. .))) +317,['neutral'],6526219567.jpg#1,neutral,6526219567.jpg#1r1n,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",People are looking at scultures that were made by a famous artist.,( People ( ( are ( looking ( at ( scultures ( that ( were ( made ( by ( a ( famous artist ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG looking) (PP (IN at) (NP (NP (NNS scultures)) (SBAR (WHNP (WDT that)) (S (VP (VBD were) (VP (VBN made) (PP (IN by) (NP (DT a) (JJ famous) (NN artist))))))))))) (. .))) +318,['neutral'],6526219567.jpg#1,neutral,6526219567.jpg#1r4n,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",There are sculptures of people.,( There ( ( are ( sculptures ( of people ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS sculptures)) (PP (IN of) (NP (NNS people))))) (. .))) +319,['entailment'],6526219567.jpg#1,entailment,6526219567.jpg#1r5e,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",There are scultupres nearby.,( There ( ( ( are scultupres ) nearby ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (ADJP (JJ scultupres)) (ADVP (RB nearby))) (. .))) +320,['contradiction'],6526219567.jpg#1,contradiction,6526219567.jpg#1r3c,"A man and a woman are standing next to sculptures, talking while another man looks at other sculptures.","( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( standing ( next ( to sculptures ) ) ) , ) ( talking ( while ( ( another man ) ( looks ( at ( other sculptures ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG standing) (ADVP (JJ next) (PP (TO to) (NP (NNS sculptures)))) (, ,) (S (VP (VBG talking) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ looks) (PP (IN at) (NP (JJ other) (NNS sculptures)))))))))) (. .)))",A man and a woman are sitting.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are sitting ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG sitting))) (. .))) +321,['neutral'],3067711936.jpg#2,neutral,3067711936.jpg#2r1n,Group of young women in dresses strolling on the sidewalk.,( ( ( Group ( of ( ( young women ) ( in dresses ) ) ) ) ( strolling ( on ( the sidewalk ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Group)) (PP (IN of) (NP (NP (JJ young) (NNS women)) (PP (IN in) (NP (NNS dresses)))))) (VP (VBG strolling) (PP (IN on) (NP (DT the) (NN sidewalk)))) (. .))),all the women are well dressed,( ( all ( the women ) ) ( are ( well dressed ) ) ),(ROOT (S (NP (PDT all) (DT the) (NNS women)) (VP (VBP are) (ADJP (RB well) (VBN dressed))))) +322,['contradiction'],3067711936.jpg#2,contradiction,3067711936.jpg#2r1c,Group of young women in dresses strolling on the sidewalk.,( ( ( Group ( of ( ( young women ) ( in dresses ) ) ) ) ( strolling ( on ( the sidewalk ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Group)) (PP (IN of) (NP (NP (JJ young) (NNS women)) (PP (IN in) (NP (NNS dresses)))))) (VP (VBG strolling) (PP (IN on) (NP (DT the) (NN sidewalk)))) (. .))),all the young girls won the first prize,( ( all ( the ( young girls ) ) ) ( won ( the ( first prize ) ) ) ),(ROOT (S (NP (PDT all) (DT the) (JJ young) (NNS girls)) (VP (VBD won) (NP (DT the) (JJ first) (NN prize))))) +323,['entailment'],3067711936.jpg#2,entailment,3067711936.jpg#2r1e,Group of young women in dresses strolling on the sidewalk.,( ( ( Group ( of ( ( young women ) ( in dresses ) ) ) ) ( strolling ( on ( the sidewalk ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Group)) (PP (IN of) (NP (NP (JJ young) (NNS women)) (PP (IN in) (NP (NNS dresses)))))) (VP (VBG strolling) (PP (IN on) (NP (DT the) (NN sidewalk)))) (. .))),there are some groups one of them of young females are in dresses strolling for a ramp walk,( there ( are ( ( some groups ) ( ( ( one ( of them ) ) ( of ( young females ) ) ) ( are ( in ( dresses ( strolling ( for ( a ( ramp walk ) ) ) ) ) ) ) ) ) ) ),(ROOT (S (NP (EX there)) (VP (VBP are) (NP (NP (DT some) (NNS groups)) (SBAR (S (NP (NP (CD one)) (PP (IN of) (NP (PRP them))) (PP (IN of) (NP (JJ young) (NNS females)))) (VP (VBP are) (PP (IN in) (NP (NP (NNS dresses)) (VP (VBG strolling) (PP (IN for) (NP (DT a) (NN ramp) (NN walk))))))))))))) +324,['entailment'],6630195863.jpg#1,entailment,6630195863.jpg#1r1e,A man wearing a striped top and jeans does a skateboard trick on some steps while a man who is hunched over photographs him.,( ( ( A man ) ( wearing ( ( ( a ( striped top ) ) and ) jeans ) ) ) ( ( ( ( does ( a ( skateboard trick ) ) ) ( on ( some steps ) ) ) ( while ( ( ( a man ) ( who ( is ( hunched over ) ) ) ) ( photographs him ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (JJ striped) (NN top)) (CC and) (NP (NNS jeans))))) (VP (VBZ does) (NP (DT a) (JJ skateboard) (NN trick)) (PP (IN on) (NP (DT some) (NNS steps))) (SBAR (IN while) (S (NP (NP (DT a) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBN hunched) (PRT (RP over))))))) (VP (VBZ photographs) (NP (PRP him)))))) (. .))),a man is photographing a man skateboarding.,( ( a man ) ( ( is ( photographing ( a ( man skateboarding ) ) ) ) . ) ),(ROOT (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG photographing) (NP (DT a) (NN man) (NN skateboarding)))) (. .))) +325,['contradiction'],6630195863.jpg#1,contradiction,6630195863.jpg#1r1c,A man wearing a striped top and jeans does a skateboard trick on some steps while a man who is hunched over photographs him.,( ( ( A man ) ( wearing ( ( ( a ( striped top ) ) and ) jeans ) ) ) ( ( ( ( does ( a ( skateboard trick ) ) ) ( on ( some steps ) ) ) ( while ( ( ( a man ) ( who ( is ( hunched over ) ) ) ) ( photographs him ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (JJ striped) (NN top)) (CC and) (NP (NNS jeans))))) (VP (VBZ does) (NP (DT a) (JJ skateboard) (NN trick)) (PP (IN on) (NP (DT some) (NNS steps))) (SBAR (IN while) (S (NP (NP (DT a) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBN hunched) (PRT (RP over))))))) (VP (VBZ photographs) (NP (PRP him)))))) (. .))),a man is riding his scooter alone,( ( a man ) ( is ( ( riding ( his scooter ) ) alone ) ) ),(ROOT (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG riding) (NP (PRP$ his) (NN scooter)) (ADVP (RB alone)))))) +326,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",6630195863.jpg#1,neutral,6630195863.jpg#1r1n,A man wearing a striped top and jeans does a skateboard trick on some steps while a man who is hunched over photographs him.,( ( ( A man ) ( wearing ( ( ( a ( striped top ) ) and ) jeans ) ) ) ( ( ( ( does ( a ( skateboard trick ) ) ) ( on ( some steps ) ) ) ( while ( ( ( a man ) ( who ( is ( hunched over ) ) ) ) ( photographs him ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (JJ striped) (NN top)) (CC and) (NP (NNS jeans))))) (VP (VBZ does) (NP (DT a) (JJ skateboard) (NN trick)) (PP (IN on) (NP (DT some) (NNS steps))) (SBAR (IN while) (S (NP (NP (DT a) (NN man)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBN hunched) (PRT (RP over))))))) (VP (VBZ photographs) (NP (PRP him)))))) (. .))),tony hawks manager is photographing tony hawk skateboarding,( ( tony ( hawks manager ) ) ( is ( photographing ( tony ( hawk skateboarding ) ) ) ) ),(ROOT (S (NP (JJ tony) (JJ hawks) (NN manager)) (VP (VBZ is) (VP (VBG photographing) (NP (JJ tony) (NN hawk) (NNS skateboarding)))))) +327,['contradiction'],6630195863.jpg#0,contradiction,6630195863.jpg#0r3c,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A man is taking the picture of a skateboarder who is being taken by aliens.,( ( A man ) ( ( is ( taking ( ( the picture ) ( of ( ( a skateboarder ) ( who ( is ( being ( taken ( by aliens ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG taking) (NP (NP (DT the) (NN picture)) (PP (IN of) (NP (NP (DT a) (NN skateboarder)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG being) (VP (VBN taken) (PP (IN by) (NP (NNS aliens))))))))))))) (. .))) +328,['contradiction'],6630195863.jpg#0,contradiction,6630195863.jpg#0r5c,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),Photographers capture a male skateboarder performing tricks inside an abandoned building.,( Photographers ( ( capture ( ( a ( male skateboarder ) ) ( ( performing tricks ) ( inside ( an ( abandoned building ) ) ) ) ) ) . ) ),(ROOT (S (INTJ (UH Photographers)) (VP (VB capture) (NP (NP (DT a) (JJ male) (NN skateboarder)) (VP (VBG performing) (NP (NNS tricks)) (PP (IN inside) (NP (DT an) (VBN abandoned) (NN building)))))) (. .))) +329,['contradiction'],6630195863.jpg#0,contradiction,6630195863.jpg#0r1c,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A woman is skateboarding with her boyfriend.,( ( A woman ) ( ( is ( skateboarding ( with ( her boyfriend ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBN skateboarding) (PP (IN with) (NP (PRP$ her) (NN boyfriend))))) (. .))) +330,['entailment'],6630195863.jpg#0,entailment,6630195863.jpg#0r3e,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A man is taking the picture of a skateboarder who is performing a trick.,( ( A man ) ( ( is ( taking ( ( the picture ) ( of ( ( a skateboarder ) ( who ( is ( performing ( a trick ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG taking) (NP (NP (DT the) (NN picture)) (PP (IN of) (NP (NP (DT a) (NN skateboarder)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG performing) (NP (DT a) (NN trick))))))))))) (. .))) +331,['contradiction'],6630195863.jpg#0,contradiction,6630195863.jpg#0r4c,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A man photographs a wedding.,( ( A man ) ( ( photographs ( a wedding ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ photographs) (NP (DT a) (NN wedding))) (. .))) +332,['neutral'],6630195863.jpg#0,neutral,6630195863.jpg#0r1n,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A man is taking photos of his son doing tricks on the skateboard.,( ( A man ) ( ( is ( ( taking ( photos ( of ( his son ) ) ) ) ( ( doing tricks ) ( on ( the skateboard ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG taking) (NP (NP (NNS photos)) (PP (IN of) (NP (PRP$ his) (NN son)))) (S (VP (VBG doing) (NP (NNS tricks)) (PP (IN on) (NP (DT the) (NN skateboard))))))) (. .))) +333,['neutral'],6630195863.jpg#0,neutral,6630195863.jpg#0r4n,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A man photographs Tony Hawk skateboarding.,( ( A man ) ( ( photographs ( Tony ( Hawk skateboarding ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ photographs) (NP (NNP Tony) (NNP Hawk) (NNP skateboarding))) (. .))) +334,['entailment'],6630195863.jpg#0,entailment,6630195863.jpg#0r1e,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A man is taking photos of skateboarding tricks.,( ( A man ) ( ( is ( taking ( photos ( of ( skateboarding tricks ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG taking) (NP (NP (NNS photos)) (PP (IN of) (NP (NNP skateboarding) (NNS tricks)))))) (. .))) +335,['entailment'],6630195863.jpg#0,entailment,6630195863.jpg#0r5e,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),People take photos outdoors while a man performs exciting skateboarding tricks.,( People ( ( ( ( take photos ) outdoors ) ( while ( ( a man ) ( performs ( exciting ( skateboarding tricks ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP take) (NP (NNS photos)) (ADVP (RB outdoors)) (SBAR (IN while) (S (NP (DT a) (NN man)) (VP (VBZ performs) (NP (JJ exciting) (NNP skateboarding) (NNS tricks)))))) (. .))) +336,['entailment'],6630195863.jpg#0,entailment,6630195863.jpg#0r2e,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A man is photographing another man.,( ( A man ) ( ( is ( photographing ( another man ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG photographing) (NP (DT another) (NN man)))) (. .))) +337,['neutral'],6630195863.jpg#0,neutral,6630195863.jpg#0r2n,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A pro photographer is taking pictures of a pro skater.,( ( A ( pro photographer ) ) ( ( is ( taking ( pictures ( of ( a ( pro skater ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ pro) (NN photographer)) (VP (VBZ is) (VP (VBG taking) (NP (NP (NNS pictures)) (PP (IN of) (NP (DT a) (JJ pro) (NN skater)))))) (. .))) +338,['contradiction'],6630195863.jpg#0,contradiction,6630195863.jpg#0r2c,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),Two men are going down a water slide.,( ( Two men ) ( ( are ( ( going down ) ( a ( water slide ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG going) (PRT (RP down)) (NP (DT a) (NN water) (NN slide)))) (. .))) +339,['entailment'],6630195863.jpg#0,entailment,6630195863.jpg#0r4e,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A man photographs a skateboarder doing tricks.,( ( A man ) ( ( photographs ( ( a skateboarder ) ( doing tricks ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ photographs) (NP (NP (DT a) (NN skateboarder)) (VP (VBG doing) (NP (NNS tricks))))) (. .))) +340,['neutral'],6630195863.jpg#0,neutral,6630195863.jpg#0r3n,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A man tries to get the perfect picture of a skateboarder for a magazine.,( ( A man ) ( ( tries ( to ( get ( ( the ( perfect picture ) ) ( of ( ( a skateboarder ) ( for ( a magazine ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ tries) (S (VP (TO to) (VP (VB get) (NP (NP (DT the) (JJ perfect) (NN picture)) (PP (IN of) (NP (NP (DT a) (NN skateboarder)) (PP (IN for) (NP (DT a) (NN magazine)))))))))) (. .))) +341,['neutral'],6630195863.jpg#0,neutral,6630195863.jpg#0r5n,A man squatting in the foreground of a photograph while taking a photograph of his own of a man doing a skateboarding kick flip in midair above a short flight of stairs outdoors.,( ( ( A man ) ( ( squatting ( in ( ( the foreground ) ( of ( a ( photograph while ) ) ) ) ) ) ( taking ( ( ( a photograph ) ( of ( his own ) ) ) ( of ( ( a man ) ( doing ( a skateboarding ) ) ) ) ) ) ) ) ( ( kick ( ( flip ( in ( midair ( above ( ( a ( short flight ) ) ( of stairs ) ) ) ) ) ) outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG squatting) (PP (IN in) (NP (NP (DT the) (NN foreground)) (PP (IN of) (NP (DT a) (NN photograph) (NN while))))) (S (VP (VBG taking) (NP (NP (DT a) (NN photograph)) (PP (IN of) (NP (PRP$ his) (JJ own))) (PP (IN of) (NP (NP (DT a) (NN man)) (VP (VBG doing) (NP (DT a) (NN skateboarding)))))))))) (VP (VBP kick) (VP (VB flip) (PP (IN in) (NP (NP (NN midair)) (PP (IN above) (NP (NP (DT a) (JJ short) (NN flight)) (PP (IN of) (NP (NNS stairs))))))) (ADVP (RB outdoors)))) (. .))),A male skateboarder performs tricks outdoors for professional photographers.,( ( A ( male skateboarder ) ) ( ( ( ( performs tricks ) outdoors ) ( for ( professional photographers ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ male) (NN skateboarder)) (VP (VBZ performs) (NP (NNS tricks)) (ADVP (RB outdoors)) (PP (IN for) (NP (JJ professional) (NNS photographers)))) (. .))) +342,['contradiction'],3060969260.jpg#3,contradiction,3060969260.jpg#3r1c,One biker is running with their bike while another is riding around them.,( ( One biker ) ( ( is ( ( running ( with ( their bike ) ) ) ( while ( another ( is ( riding ( around them ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD One) (NN biker)) (VP (VBZ is) (VP (VBG running) (PP (IN with) (NP (PRP$ their) (NN bike))) (SBAR (IN while) (S (NP (DT another)) (VP (VBZ is) (VP (VBG riding) (PP (IN around) (NP (PRP them))))))))) (. .))),The people are driving cars,( ( The people ) ( are ( driving cars ) ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG driving) (NP (NNS cars)))))) +343,"['neutral', 'neutral', 'neutral', 'contradiction', 'neutral']",3060969260.jpg#3,neutral,3060969260.jpg#3r1n,One biker is running with their bike while another is riding around them.,( ( One biker ) ( ( is ( ( running ( with ( their bike ) ) ) ( while ( another ( is ( riding ( around them ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD One) (NN biker)) (VP (VBZ is) (VP (VBG running) (PP (IN with) (NP (PRP$ their) (NN bike))) (SBAR (IN while) (S (NP (DT another)) (VP (VBZ is) (VP (VBG riding) (PP (IN around) (NP (PRP them))))))))) (. .))),The people are part of a club,( ( The people ) ( are ( part ( of ( a club ) ) ) ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (NP (NP (NN part)) (PP (IN of) (NP (DT a) (NN club))))))) +344,['entailment'],3060969260.jpg#3,entailment,3060969260.jpg#3r1e,One biker is running with their bike while another is riding around them.,( ( One biker ) ( ( is ( ( running ( with ( their bike ) ) ) ( while ( another ( is ( riding ( around them ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD One) (NN biker)) (VP (VBZ is) (VP (VBG running) (PP (IN with) (NP (PRP$ their) (NN bike))) (SBAR (IN while) (S (NP (DT another)) (VP (VBZ is) (VP (VBG riding) (PP (IN around) (NP (PRP them))))))))) (. .))),People have bikes,( People ( have bikes ) ),(ROOT (S (NP (NNS People)) (VP (VBP have) (NP (NNS bikes))))) +345,['contradiction'],3060969260.jpg#1,contradiction,3060969260.jpg#1r1c,"Two people with bicycles, one in front running with a bike and one in back riding.","( ( ( ( ( Two people ) ( with bicycles ) ) , ) ( one ( in ( front ( ( running ( with ( ( ( a bike ) and ) one ) ) ) ( in ( back riding ) ) ) ) ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS people)) (PP (IN with) (NP (NNS bicycles)))) (, ,) (NP (NP (CD one)) (PP (IN in) (NP (NP (NN front)) (VP (VBG running) (PP (IN with) (NP (NP (DT a) (NN bike)) (CC and) (NP (CD one)))) (PP (IN in) (S (ADVP (RB back)) (VP (VBG riding)))))))) (. .)))",Two people eating ice cream cones at the mall.,( ( ( Two people ) ( ( eating ( ice ( cream cones ) ) ) ( at ( the mall ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS people)) (VP (VBG eating) (NP (NN ice) (NN cream) (NNS cones)) (PP (IN at) (NP (DT the) (NN mall)))) (. .))) +346,['neutral'],3060969260.jpg#1,neutral,3060969260.jpg#1r1n,"Two people with bicycles, one in front running with a bike and one in back riding.","( ( ( ( ( Two people ) ( with bicycles ) ) , ) ( one ( in ( front ( ( running ( with ( ( ( a bike ) and ) one ) ) ) ( in ( back riding ) ) ) ) ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS people)) (PP (IN with) (NP (NNS bicycles)))) (, ,) (NP (NP (CD one)) (PP (IN in) (NP (NP (NN front)) (VP (VBG running) (PP (IN with) (NP (NP (DT a) (NN bike)) (CC and) (NP (CD one)))) (PP (IN in) (S (ADVP (RB back)) (VP (VBG riding)))))))) (. .)))",Two people taking their bikes to the trail.,( ( ( Two people ) ( ( taking ( their bikes ) ) ( to ( the trail ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS people)) (VP (VBG taking) (NP (PRP$ their) (NNS bikes)) (PP (TO to) (NP (DT the) (NN trail)))) (. .))) +347,['entailment'],3060969260.jpg#1,entailment,3060969260.jpg#1r1e,"Two people with bicycles, one in front running with a bike and one in back riding.","( ( ( ( ( Two people ) ( with bicycles ) ) , ) ( one ( in ( front ( ( running ( with ( ( ( a bike ) and ) one ) ) ) ( in ( back riding ) ) ) ) ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (NNS people)) (PP (IN with) (NP (NNS bicycles)))) (, ,) (NP (NP (CD one)) (PP (IN in) (NP (NP (NN front)) (VP (VBG running) (PP (IN with) (NP (NP (DT a) (NN bike)) (CC and) (NP (CD one)))) (PP (IN in) (S (ADVP (RB back)) (VP (VBG riding)))))))) (. .)))",One person running next to their bike with the person riding their bike behind them.,( ( ( One person ) ( ( running ( next ( to ( their bike ) ) ) ) ( with ( ( the person ) ( ( riding ( their bike ) ) ( behind them ) ) ) ) ) ) . ),(ROOT (NP (NP (CD One) (NN person)) (VP (VBG running) (ADVP (JJ next) (PP (TO to) (NP (PRP$ their) (NN bike)))) (PP (IN with) (NP (NP (DT the) (NN person)) (VP (VBG riding) (NP (PRP$ their) (NN bike)) (PP (IN behind) (NP (PRP them))))))) (. .))) +348,['contradiction'],6630195863.jpg#4,contradiction,6630195863.jpg#4r1c,A young man doing a trick on a skateboard down the stairs while being photographed.,( ( ( A ( young man ) ) ( ( doing ( a trick ) ) ( on ( ( a ( ( skateboard ( down ( the stairs ) ) ) while ) ) ( being photographed ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN man)) (VP (VBG doing) (NP (DT a) (NN trick)) (PP (IN on) (NP (NP (DT a) (ADJP (JJ skateboard) (PP (IN down) (NP (DT the) (NNS stairs)))) (NN while)) (VP (VBG being) (VP (VBN photographed)))))) (. .))),A young man roller blades across a ramp while being photographed.,( ( ( ( A ( young ( man ( roller blades ) ) ) ) ( across ( a ( ramp while ) ) ) ) ( being photographed ) ) . ),(ROOT (NP (NP (NP (DT A) (JJ young) (NN man) (NN roller) (NNS blades)) (PP (IN across) (NP (DT a) (NN ramp) (NN while)))) (VP (VBG being) (VP (VBN photographed))) (. .))) +349,['neutral'],6630195863.jpg#4,neutral,6630195863.jpg#4r1n,A young man doing a trick on a skateboard down the stairs while being photographed.,( ( ( A ( young man ) ) ( ( doing ( a trick ) ) ( on ( ( a ( ( skateboard ( down ( the stairs ) ) ) while ) ) ( being photographed ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN man)) (VP (VBG doing) (NP (DT a) (NN trick)) (PP (IN on) (NP (NP (DT a) (ADJP (JJ skateboard) (PP (IN down) (NP (DT the) (NNS stairs)))) (NN while)) (VP (VBG being) (VP (VBN photographed)))))) (. .))),A helmet-less young man does a trick on a skateboard while being photographed.,( ( A ( helmet-less ( young man ) ) ) ( ( ( does ( a trick ) ) ( on ( ( a ( skateboard while ) ) ( being photographed ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ helmet-less) (JJ young) (NN man)) (VP (VBZ does) (NP (DT a) (NN trick)) (PP (IN on) (NP (NP (DT a) (JJ skateboard) (NN while)) (VP (VBG being) (VP (VBN photographed)))))) (. .))) +350,['entailment'],6630195863.jpg#4,entailment,6630195863.jpg#4r1e,A young man doing a trick on a skateboard down the stairs while being photographed.,( ( ( A ( young man ) ) ( ( doing ( a trick ) ) ( on ( ( a ( ( skateboard ( down ( the stairs ) ) ) while ) ) ( being photographed ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN man)) (VP (VBG doing) (NP (DT a) (NN trick)) (PP (IN on) (NP (NP (DT a) (ADJP (JJ skateboard) (PP (IN down) (NP (DT the) (NNS stairs)))) (NN while)) (VP (VBG being) (VP (VBN photographed)))))) (. .))),A man being photographed while he does a trick on his skateboard down the stairs.,( ( ( A man ) ( being ( photographed ( while ( he ( ( does ( ( a trick ) ( on ( his skateboard ) ) ) ) ( down ( the stairs ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG being) (VP (VBN photographed) (SBAR (IN while) (S (NP (PRP he)) (VP (VBZ does) (NP (NP (DT a) (NN trick)) (PP (IN on) (NP (PRP$ his) (NN skateboard)))) (PP (IN down) (NP (DT the) (NNS stairs)))))))) (. .))) +351,"['neutral', 'neutral', 'neutral', 'neutral', 'contradiction']",3578138991.jpg#0,neutral,3578138991.jpg#0r1n,"A lady in a black and white striped shirt and holding a bouquet of flowers, looks seriously at two gentlemen talking on the steps.","( ( ( A lady ) ( in ( a ( ( ( black and ) white ) ( striped shirt ) ) ) ) ) ( and ( ( holding ( ( a bouquet ) ( of flowers ) ) ) ( , ( ( ( looks seriously ) ( at ( ( two gentlemen ) ( talking ( on ( the steps ) ) ) ) ) ) . ) ) ) ) )","(ROOT (S (NP (NP (DT A) (NN lady)) (PP (IN in) (NP (DT a) (ADJP (JJ black) (CC and) (JJ white)) (JJ striped) (NN shirt)))) (CC and) (S (VP (VBG holding) (NP (NP (DT a) (NN bouquet)) (PP (IN of) (NP (NNS flowers)))))) (, ,) (VP (VBZ looks) (ADVP (RB seriously)) (PP (IN at) (NP (NP (CD two) (NNS gentlemen)) (VP (VBG talking) (PP (IN on) (NP (DT the) (NNS steps))))))) (. .)))",A lady is about to propose to her boyfriend.,( ( A lady ) ( ( is ( about ( to ( propose ( to ( her boyfriend ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ is) (VP (IN about) (S (VP (TO to) (VP (VB propose) (PP (TO to) (NP (PRP$ her) (NN boyfriend)))))))) (. .))) +352,['entailment'],3578138991.jpg#0,entailment,3578138991.jpg#0r1e,"A lady in a black and white striped shirt and holding a bouquet of flowers, looks seriously at two gentlemen talking on the steps.","( ( ( A lady ) ( in ( a ( ( ( black and ) white ) ( striped shirt ) ) ) ) ) ( and ( ( holding ( ( a bouquet ) ( of flowers ) ) ) ( , ( ( ( looks seriously ) ( at ( ( two gentlemen ) ( talking ( on ( the steps ) ) ) ) ) ) . ) ) ) ) )","(ROOT (S (NP (NP (DT A) (NN lady)) (PP (IN in) (NP (DT a) (ADJP (JJ black) (CC and) (JJ white)) (JJ striped) (NN shirt)))) (CC and) (S (VP (VBG holding) (NP (NP (DT a) (NN bouquet)) (PP (IN of) (NP (NNS flowers)))))) (, ,) (VP (VBZ looks) (ADVP (RB seriously)) (PP (IN at) (NP (NP (CD two) (NNS gentlemen)) (VP (VBG talking) (PP (IN on) (NP (DT the) (NNS steps))))))) (. .)))",A lady with a serious face is standing with two guys in front of steps outside.,( ( ( A lady ) ( with ( a ( serious face ) ) ) ) ( ( is ( ( standing ( with ( ( two guys ) ( in ( front ( of steps ) ) ) ) ) ) outside ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN lady)) (PP (IN with) (NP (DT a) (JJ serious) (NN face)))) (VP (VBZ is) (VP (VBG standing) (PP (IN with) (NP (NP (CD two) (NNS guys)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (NNS steps))))))) (ADVP (RB outside)))) (. .))) +353,['contradiction'],3578138991.jpg#0,contradiction,3578138991.jpg#0r1c,"A lady in a black and white striped shirt and holding a bouquet of flowers, looks seriously at two gentlemen talking on the steps.","( ( ( A lady ) ( in ( a ( ( ( black and ) white ) ( striped shirt ) ) ) ) ) ( and ( ( holding ( ( a bouquet ) ( of flowers ) ) ) ( , ( ( ( looks seriously ) ( at ( ( two gentlemen ) ( talking ( on ( the steps ) ) ) ) ) ) . ) ) ) ) )","(ROOT (S (NP (NP (DT A) (NN lady)) (PP (IN in) (NP (DT a) (ADJP (JJ black) (CC and) (JJ white)) (JJ striped) (NN shirt)))) (CC and) (S (VP (VBG holding) (NP (NP (DT a) (NN bouquet)) (PP (IN of) (NP (NNS flowers)))))) (, ,) (VP (VBZ looks) (ADVP (RB seriously)) (PP (IN at) (NP (NP (CD two) (NNS gentlemen)) (VP (VBG talking) (PP (IN on) (NP (DT the) (NNS steps))))))) (. .)))",Three guys are standing indoors with flowers in their hands.,( ( Three guys ) ( ( are ( ( standing indoors ) ( with ( flowers ( in ( their hands ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS guys)) (VP (VBP are) (VP (VBG standing) (ADVP (RB indoors)) (PP (IN with) (NP (NP (NNS flowers)) (PP (IN in) (NP (PRP$ their) (NNS hands))))))) (. .))) +354,['contradiction'],3526841158.jpg#4,contradiction,3526841158.jpg#4r1c,A man walking proudly down the street.,( ( ( A man ) ( ( walking proudly ) ( down ( the street ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG walking) (ADVP (RB proudly)) (PP (IN down) (NP (DT the) (NN street)))) (. .))),The man is in the theatre watching Avatar.,( ( The man ) ( ( is ( in ( ( the theatre ) ( watching Avatar ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (PP (IN in) (NP (NP (DT the) (NN theatre)) (VP (VBG watching) (NP (NNP Avatar)))))) (. .))) +355,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",3526841158.jpg#4,neutral,3526841158.jpg#4r1n,A man walking proudly down the street.,( ( ( A man ) ( ( walking proudly ) ( down ( the street ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG walking) (ADVP (RB proudly)) (PP (IN down) (NP (DT the) (NN street)))) (. .))),The man is part of the gay pride parade.,( ( The man ) ( ( is ( part ( of ( the ( gay ( pride parade ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (NP (NP (NN part)) (PP (IN of) (NP (DT the) (JJ gay) (NN pride) (NN parade))))) (. .))) +356,['entailment'],3526841158.jpg#4,entailment,3526841158.jpg#4r1e,A man walking proudly down the street.,( ( ( A man ) ( ( walking proudly ) ( down ( the street ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG walking) (ADVP (RB proudly)) (PP (IN down) (NP (DT the) (NN street)))) (. .))),A man is outside.,( ( A man ) ( ( is outside ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (ADVP (RB outside))) (. .))) +357,['neutral'],2798884617.jpg#3,neutral,2798884617.jpg#3r1n,Four teenage boys are doing cannonballs into a swimming pool.,( ( Four ( teenage boys ) ) ( ( are ( ( doing cannonballs ) ( into ( a ( swimming pool ) ) ) ) ) . ) ),(ROOT (S (NP (CD Four) (JJ teenage) (NNS boys)) (VP (VBP are) (VP (VBG doing) (NP (NNS cannonballs)) (PP (IN into) (NP (DT a) (VBG swimming) (NN pool))))) (. .))),Four friends are having a competition to see who throws the most water out of a pool.,( ( Four friends ) ( ( are ( ( having ( a competition ) ) ( to ( see ( who ( throws ( ( the ( most water ) ) ( out ( of ( a pool ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Four) (NNS friends)) (VP (VBP are) (VP (VBG having) (NP (DT a) (NN competition)) (S (VP (TO to) (VP (VB see) (SBAR (WHNP (WP who)) (S (VP (VBZ throws) (NP (NP (DT the) (JJS most) (NN water)) (PP (RB out) (IN of) (NP (DT a) (NN pool)))))))))))) (. .))) +358,['entailment'],2798884617.jpg#3,entailment,2798884617.jpg#3r1e,Four teenage boys are doing cannonballs into a swimming pool.,( ( Four ( teenage boys ) ) ( ( are ( ( doing cannonballs ) ( into ( a ( swimming pool ) ) ) ) ) . ) ),(ROOT (S (NP (CD Four) (JJ teenage) (NNS boys)) (VP (VBP are) (VP (VBG doing) (NP (NNS cannonballs)) (PP (IN into) (NP (DT a) (VBG swimming) (NN pool))))) (. .))),A group of young men are splashing a lot of water.,( ( ( A group ) ( of ( young men ) ) ) ( ( are ( splashing ( ( a lot ) ( of water ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (JJ young) (NNS men)))) (VP (VBP are) (VP (VBG splashing) (NP (NP (DT a) (NN lot)) (PP (IN of) (NP (NN water)))))) (. .))) +359,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",2798884617.jpg#3,contradiction,2798884617.jpg#3r1c,Four teenage boys are doing cannonballs into a swimming pool.,( ( Four ( teenage boys ) ) ( ( are ( ( doing cannonballs ) ( into ( a ( swimming pool ) ) ) ) ) . ) ),(ROOT (S (NP (CD Four) (JJ teenage) (NNS boys)) (VP (VBP are) (VP (VBG doing) (NP (NNS cannonballs)) (PP (IN into) (NP (DT a) (VBG swimming) (NN pool))))) (. .))),Some boys are eating pizza in a restaurant.,( ( Some boys ) ( ( are ( ( eating pizza ) ( in ( a restaurant ) ) ) ) . ) ),(ROOT (S (NP (DT Some) (NNS boys)) (VP (VBP are) (VP (VBG eating) (NP (NN pizza)) (PP (IN in) (NP (DT a) (NN restaurant))))) (. .))) +360,['neutral'],4687695415.jpg#0,neutral,4687695415.jpg#0r1n,Three men standing on grass by the water looking at something on a table.,( ( ( Three men ) ( ( standing ( on grass ) ) ( by ( ( the water ) ( ( looking ( at something ) ) ( on ( a table ) ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Three) (NNS men)) (VP (VBG standing) (PP (IN on) (NP (NN grass))) (PP (IN by) (NP (NP (DT the) (NN water)) (VP (VBG looking) (PP (IN at) (NP (NN something))) (PP (IN on) (NP (DT a) (NN table))))))) (. .))),The three men are by the lake.,( ( The ( three men ) ) ( ( are ( by ( the lake ) ) ) . ) ),(ROOT (S (NP (DT The) (CD three) (NNS men)) (VP (VBP are) (PP (IN by) (NP (DT the) (NN lake)))) (. .))) +361,['entailment'],4687695415.jpg#0,entailment,4687695415.jpg#0r1e,Three men standing on grass by the water looking at something on a table.,( ( ( Three men ) ( ( standing ( on grass ) ) ( by ( ( the water ) ( ( looking ( at something ) ) ( on ( a table ) ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Three) (NNS men)) (VP (VBG standing) (PP (IN on) (NP (NN grass))) (PP (IN by) (NP (NP (DT the) (NN water)) (VP (VBG looking) (PP (IN at) (NP (NN something))) (PP (IN on) (NP (DT a) (NN table))))))) (. .))),The three men are outside.,( ( The ( three men ) ) ( ( are outside ) . ) ),(ROOT (S (NP (DT The) (CD three) (NNS men)) (VP (VBP are) (ADJP (JJ outside))) (. .))) +362,['contradiction'],4687695415.jpg#0,contradiction,4687695415.jpg#0r1c,Three men standing on grass by the water looking at something on a table.,( ( ( Three men ) ( ( standing ( on grass ) ) ( by ( ( the water ) ( ( looking ( at something ) ) ( on ( a table ) ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Three) (NNS men)) (VP (VBG standing) (PP (IN on) (NP (NN grass))) (PP (IN by) (NP (NP (DT the) (NN water)) (VP (VBG looking) (PP (IN at) (NP (NN something))) (PP (IN on) (NP (DT a) (NN table))))))) (. .))),The three men are indoors playing Foosball.,( ( The ( three men ) ) ( ( ( are indoors ) ( playing Foosball ) ) . ) ),(ROOT (S (NP (DT The) (CD three) (NNS men)) (VP (VBP are) (ADVP (RB indoors)) (VP (VBG playing) (NP (NNP Foosball)))) (. .))) +363,['neutral'],2164665069.jpg#3,neutral,2164665069.jpg#3r1n,A woman stands behind an outdoor grill with a blue basket of food in her hands.,( ( A woman ) ( ( ( stands ( behind ( ( an ( outdoor grill ) ) ( with ( ( a ( blue basket ) ) ( of food ) ) ) ) ) ) ( in ( her hands ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ stands) (PP (IN behind) (NP (NP (DT an) (JJ outdoor) (NN grill)) (PP (IN with) (NP (NP (DT a) (JJ blue) (NN basket)) (PP (IN of) (NP (NN food))))))) (PP (IN in) (NP (PRP$ her) (NNS hands)))) (. .))),A woman holding a blue basket full of food at a family cookout.,( ( ( A woman ) ( holding ( ( a ( blue basket ) ) ( full ( of ( food ( at ( a ( family cookout ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG holding) (NP (NP (DT a) (JJ blue) (NN basket)) (PP (JJ full) (IN of) (NP (NP (NN food)) (PP (IN at) (NP (DT a) (NN family) (NN cookout))))))) (. .))) +364,['entailment'],2164665069.jpg#3,entailment,2164665069.jpg#3r1e,A woman stands behind an outdoor grill with a blue basket of food in her hands.,( ( A woman ) ( ( ( stands ( behind ( ( an ( outdoor grill ) ) ( with ( ( a ( blue basket ) ) ( of food ) ) ) ) ) ) ( in ( her hands ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ stands) (PP (IN behind) (NP (NP (DT an) (JJ outdoor) (NN grill)) (PP (IN with) (NP (NP (DT a) (JJ blue) (NN basket)) (PP (IN of) (NP (NN food))))))) (PP (IN in) (NP (PRP$ her) (NNS hands)))) (. .))),A woman standing behind a grill outside with a blue basket of food in her hands.,( ( ( A woman ) ( ( standing ( behind ( ( a ( grill outside ) ) ( with ( ( a ( blue basket ) ) ( of food ) ) ) ) ) ) ( in ( her hands ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG standing) (PP (IN behind) (NP (NP (DT a) (JJ grill) (NN outside)) (PP (IN with) (NP (NP (DT a) (JJ blue) (NN basket)) (PP (IN of) (NP (NN food))))))) (PP (IN in) (NP (PRP$ her) (NNS hands)))) (. .))) +365,['contradiction'],2164665069.jpg#3,contradiction,2164665069.jpg#3r1c,A woman stands behind an outdoor grill with a blue basket of food in her hands.,( ( A woman ) ( ( ( stands ( behind ( ( an ( outdoor grill ) ) ( with ( ( a ( blue basket ) ) ( of food ) ) ) ) ) ) ( in ( her hands ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ stands) (PP (IN behind) (NP (NP (DT an) (JJ outdoor) (NN grill)) (PP (IN with) (NP (NP (DT a) (JJ blue) (NN basket)) (PP (IN of) (NP (NN food))))))) (PP (IN in) (NP (PRP$ her) (NNS hands)))) (. .))),A woman holding a blue basket full of easter eggs outside of a church.,( ( ( A woman ) ( holding ( ( a ( blue basket ) ) ( full ( of ( ( easter eggs ) ( outside ( of ( a church ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG holding) (NP (NP (DT a) (JJ blue) (NN basket)) (PP (JJ full) (IN of) (NP (NP (NN easter) (NNS eggs)) (PP (JJ outside) (IN of) (NP (DT a) (NN church))))))) (. .))) +366,['neutral'],2832076014.jpg#1,neutral,2832076014.jpg#1r1n,A Land Rover makes its way through a deep pond.,( ( A ( Land Rover ) ) ( ( ( makes ( its way ) ) ( through ( a ( deep pond ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NNP Land) (NNP Rover)) (VP (VBZ makes) (NP (PRP$ its) (NN way)) (PP (IN through) (NP (DT a) (JJ deep) (NN pond)))) (. .))),A car gets stuck in the water.,( ( A car ) ( ( gets ( stuck ( in ( the water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN car)) (VP (VBZ gets) (VP (VBN stuck) (PP (IN in) (NP (DT the) (NN water))))) (. .))) +367,['contradiction'],2832076014.jpg#1,contradiction,2832076014.jpg#1r1c,A Land Rover makes its way through a deep pond.,( ( A ( Land Rover ) ) ( ( ( makes ( its way ) ) ( through ( a ( deep pond ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NNP Land) (NNP Rover)) (VP (VBZ makes) (NP (PRP$ its) (NN way)) (PP (IN through) (NP (DT a) (JJ deep) (NN pond)))) (. .))),A car is in the shop.,( ( A car ) ( ( is ( in ( the shop ) ) ) . ) ),(ROOT (S (NP (DT A) (NN car)) (VP (VBZ is) (PP (IN in) (NP (DT the) (NN shop)))) (. .))) +368,['entailment'],2832076014.jpg#1,entailment,2832076014.jpg#1r1e,A Land Rover makes its way through a deep pond.,( ( A ( Land Rover ) ) ( ( ( makes ( its way ) ) ( through ( a ( deep pond ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NNP Land) (NNP Rover)) (VP (VBZ makes) (NP (PRP$ its) (NN way)) (PP (IN through) (NP (DT a) (JJ deep) (NN pond)))) (. .))),A car drives through the water.,( ( A car ) ( ( drives ( through ( the water ) ) ) . ) ),(ROOT (S (NP (DT A) (NN car)) (VP (VBZ drives) (PP (IN through) (NP (DT the) (NN water)))) (. .))) +369,['entailment'],2715262147.jpg#4,entailment,2715262147.jpg#4r1e,many people relax in the yard.,( ( many people ) ( ( relax ( in ( the yard ) ) ) . ) ),(ROOT (S (NP (JJ many) (NNS people)) (VP (VBP relax) (PP (IN in) (NP (DT the) (NN yard)))) (. .))),A group of people are outside.,( ( ( A group ) ( of people ) ) ( ( are outside ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (ADJP (JJ outside))) (. .))) +370,['neutral'],2715262147.jpg#4,neutral,2715262147.jpg#4r1n,many people relax in the yard.,( ( many people ) ( ( relax ( in ( the yard ) ) ) . ) ),(ROOT (S (NP (JJ many) (NNS people)) (VP (VBP relax) (PP (IN in) (NP (DT the) (NN yard)))) (. .))),A family enjoys the sunny day in their backyard.,( ( A family ) ( ( enjoys ( ( the ( sunny day ) ) ( in ( their backyard ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN family)) (VP (VBZ enjoys) (NP (NP (DT the) (JJ sunny) (NN day)) (PP (IN in) (NP (PRP$ their) (NN backyard))))) (. .))) +371,['contradiction'],2715262147.jpg#4,contradiction,2715262147.jpg#4r1c,many people relax in the yard.,( ( many people ) ( ( relax ( in ( the yard ) ) ) . ) ),(ROOT (S (NP (JJ many) (NNS people)) (VP (VBP relax) (PP (IN in) (NP (DT the) (NN yard)))) (. .))),People watch tv in their living room.,( People ( ( watch ( tv ( in ( their ( living room ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP watch) (NP (NP (NN tv)) (PP (IN in) (NP (PRP$ their) (VBG living) (NN room))))) (. .))) +372,['entailment'],2832076014.jpg#3,entailment,2832076014.jpg#3r1e,A car sinking in water.,( ( ( A car ) ( sinking ( in water ) ) ) . ),(ROOT (NP (NP (DT A) (NN car)) (VP (VBG sinking) (PP (IN in) (NP (NN water)))) (. .))),A car is flooding.,( ( A car ) ( ( is flooding ) . ) ),(ROOT (S (NP (DT A) (NN car)) (VP (VBZ is) (VP (VBG flooding))) (. .))) +373,['neutral'],2832076014.jpg#3,neutral,2832076014.jpg#3r1n,A car sinking in water.,( ( ( A car ) ( sinking ( in water ) ) ) . ),(ROOT (NP (NP (DT A) (NN car)) (VP (VBG sinking) (PP (IN in) (NP (NN water)))) (. .))),A car has crashed into a large lake.,( ( A car ) ( ( has ( crashed ( into ( a ( large lake ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN car)) (VP (VBZ has) (VP (VBN crashed) (PP (IN into) (NP (DT a) (JJ large) (NN lake))))) (. .))) +374,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",2832076014.jpg#3,contradiction,2832076014.jpg#3r1c,A car sinking in water.,( ( ( A car ) ( sinking ( in water ) ) ) . ),(ROOT (NP (NP (DT A) (NN car)) (VP (VBG sinking) (PP (IN in) (NP (NN water)))) (. .))),A truck drives down a country road in the sunshine.,( ( A truck ) ( ( ( drives down ) ( ( a ( country road ) ) ( in ( the sunshine ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN truck)) (VP (VBZ drives) (PRT (RP down)) (NP (NP (DT a) (NN country) (NN road)) (PP (IN in) (NP (DT the) (NN sunshine))))) (. .))) +375,['entailment'],1034985636.jpg#1,entailment,1034985636.jpg#1r1e,A man wearing black is playing an electric guitar at a concert.,( ( ( A man ) ( wearing black ) ) ( ( is ( ( playing ( an ( electric guitar ) ) ) ( at ( a concert ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (ADJP (JJ black)))) (VP (VBZ is) (VP (VBG playing) (NP (DT an) (JJ electric) (NN guitar)) (PP (IN at) (NP (DT a) (NN concert))))) (. .))),A man is playing the guitar.,( ( A man ) ( ( is ( playing ( the guitar ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG playing) (NP (DT the) (NN guitar)))) (. .))) +376,['neutral'],1034985636.jpg#1,neutral,1034985636.jpg#1r1n,A man wearing black is playing an electric guitar at a concert.,( ( ( A man ) ( wearing black ) ) ( ( is ( ( playing ( an ( electric guitar ) ) ) ( at ( a concert ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (ADJP (JJ black)))) (VP (VBZ is) (VP (VBG playing) (NP (DT an) (JJ electric) (NN guitar)) (PP (IN at) (NP (DT a) (NN concert))))) (. .))),A man is singing as he plays guitar.,( ( A man ) ( ( is ( singing ( as ( he ( plays guitar ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG singing) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ plays) (NP (NN guitar))))))) (. .))) +377,['contradiction'],1034985636.jpg#1,contradiction,1034985636.jpg#1r1c,A man wearing black is playing an electric guitar at a concert.,( ( ( A man ) ( wearing black ) ) ( ( is ( ( playing ( an ( electric guitar ) ) ) ( at ( a concert ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (ADJP (JJ black)))) (VP (VBZ is) (VP (VBG playing) (NP (DT an) (JJ electric) (NN guitar)) (PP (IN at) (NP (DT a) (NN concert))))) (. .))),A man is playing the piano.,( ( A man ) ( ( is ( playing ( the piano ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG playing) (NP (DT the) (NN piano)))) (. .))) +378,['contradiction'],1034985636.jpg#0,contradiction,1034985636.jpg#0r1c,A man with wild hair rocks a show playing a guitar center stage.,( ( ( A man ) ( with ( wild hair ) ) ) ( ( ( rocks ( a show ) ) ( playing ( a ( guitar ( center stage ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (JJ wild) (NN hair)))) (VP (VBD rocks) (NP (DT a) (NN show)) (S (VP (VBG playing) (NP (DT a) (NN guitar) (NN center) (NN stage))))) (. .))),The bald man played the drums.,( ( The ( bald man ) ) ( ( played ( the drums ) ) . ) ),(ROOT (S (NP (DT The) (JJ bald) (NN man)) (VP (VBD played) (NP (DT the) (NNS drums))) (. .))) +379,['entailment'],1034985636.jpg#0,entailment,1034985636.jpg#0r1e,A man with wild hair rocks a show playing a guitar center stage.,( ( ( A man ) ( with ( wild hair ) ) ) ( ( ( rocks ( a show ) ) ( playing ( a ( guitar ( center stage ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (JJ wild) (NN hair)))) (VP (VBD rocks) (NP (DT a) (NN show)) (S (VP (VBG playing) (NP (DT a) (NN guitar) (NN center) (NN stage))))) (. .))),A guy stands on stage with his guitar.,( ( A guy ) ( ( ( stands ( on stage ) ) ( with ( his guitar ) ) ) . ) ),(ROOT (S (NP (DT A) (NN guy)) (VP (VBZ stands) (PP (IN on) (NP (NN stage))) (PP (IN with) (NP (PRP$ his) (NN guitar)))) (. .))) +380,['neutral'],1034985636.jpg#0,neutral,1034985636.jpg#0r1n,A man with wild hair rocks a show playing a guitar center stage.,( ( ( A man ) ( with ( wild hair ) ) ) ( ( ( rocks ( a show ) ) ( playing ( a ( guitar ( center stage ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (JJ wild) (NN hair)))) (VP (VBD rocks) (NP (DT a) (NN show)) (S (VP (VBG playing) (NP (DT a) (NN guitar) (NN center) (NN stage))))) (. .))),One crazy looking man plays in a show.,( ( One crazy ) ( ( ( looking ( man plays ) ) ( in ( a show ) ) ) . ) ),(ROOT (FRAG (ADJP (NP (CD One)) (JJ crazy)) (S (VP (VBG looking) (NP (NN man) (NNS plays)) (PP (IN in) (NP (DT a) (NN show))))) (. .))) +381,['neutral'],7632093958.jpg#1,neutral,7632093958.jpg#1r1n,woman and child on trolley car labeled Powell and market and bay and taylor,( ( ( ( woman and ) child ) ( on ( trolley car ) ) ) ( labeled ( ( Powell and ) ( market ( and ( ( bay and ) taylor ) ) ) ) ) ),(ROOT (S (NP (NP (NN woman) (CC and) (NN child)) (PP (IN on) (NP (NN trolley) (NN car)))) (VP (VBD labeled) (NP (NP (NNP Powell)) (CC and) (NP (NN market) (CC and) (NN bay) (CC and) (NN taylor)))))),The woman is carrying her child.,( ( The woman ) ( ( is ( carrying ( her child ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG carrying) (NP (PRP$ her) (NN child)))) (. .))) +382,['entailment'],7632093958.jpg#1,entailment,7632093958.jpg#1r1e,woman and child on trolley car labeled Powell and market and bay and taylor,( ( ( ( woman and ) child ) ( on ( trolley car ) ) ) ( labeled ( ( Powell and ) ( market ( and ( ( bay and ) taylor ) ) ) ) ) ),(ROOT (S (NP (NP (NN woman) (CC and) (NN child)) (PP (IN on) (NP (NN trolley) (NN car)))) (VP (VBD labeled) (NP (NP (NNP Powell)) (CC and) (NP (NN market) (CC and) (NN bay) (CC and) (NN taylor)))))),The woman is on a trolley.,( ( The woman ) ( ( is ( on ( a trolley ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (PP (IN on) (NP (DT a) (NN trolley)))) (. .))) +383,['contradiction'],7632093958.jpg#1,contradiction,7632093958.jpg#1r1c,woman and child on trolley car labeled Powell and market and bay and taylor,( ( ( ( woman and ) child ) ( on ( trolley car ) ) ) ( labeled ( ( Powell and ) ( market ( and ( ( bay and ) taylor ) ) ) ) ) ),(ROOT (S (NP (NP (NN woman) (CC and) (NN child)) (PP (IN on) (NP (NN trolley) (NN car)))) (VP (VBD labeled) (NP (NP (NNP Powell)) (CC and) (NP (NN market) (CC and) (NN bay) (CC and) (NN taylor)))))),The woman and child are on a subway train.,( ( The ( ( woman and ) child ) ) ( ( are ( on ( a ( subway train ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman) (CC and) (NN child)) (VP (VBP are) (PP (IN on) (NP (DT a) (NN subway) (NN train)))) (. .))) +384,['neutral'],3856149623.jpg#0,neutral,3856149623.jpg#0r1n,"Two female medical professionals, one african american& one white, looking over paperwork in a hospital.","( ( ( ( ( ( ( ( Two ( female ( medical professionals ) ) ) , ) ( ( ( one ( african american ) ) & ) one ) ) white ) , ) ( looking ( over paperwork ) ) ) ( in ( a hospital ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (JJ female) (JJ medical) (NNS professionals)) (, ,) (NP (NP (CD one) (NN african) (NN american)) (CC &) (NP (CD one)))) (ADJP (JJ white)) (, ,) (VP (VBG looking) (PP (IN over) (NP (NN paperwork)))) (PP (IN in) (NP (DT a) (NN hospital))) (. .)))",Coworkers at at a monthly safety meeting.,( Coworkers ( ( at ( at ( a ( monthly ( safety meeting ) ) ) ) ) . ) ),(ROOT (FRAG (INTJ (UH Coworkers)) (PP (IN at) (PP (IN at) (NP (DT a) (JJ monthly) (NN safety) (NN meeting)))) (. .))) +385,['contradiction'],3856149623.jpg#0,contradiction,3856149623.jpg#0r1c,"Two female medical professionals, one african american& one white, looking over paperwork in a hospital.","( ( ( ( ( ( ( ( Two ( female ( medical professionals ) ) ) , ) ( ( ( one ( african american ) ) & ) one ) ) white ) , ) ( looking ( over paperwork ) ) ) ( in ( a hospital ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (JJ female) (JJ medical) (NNS professionals)) (, ,) (NP (NP (CD one) (NN african) (NN american)) (CC &) (NP (CD one)))) (ADJP (JJ white)) (, ,) (VP (VBG looking) (PP (IN over) (NP (NN paperwork)))) (PP (IN in) (NP (DT a) (NN hospital))) (. .)))",Coworkers left work and are driving to lunch.,( Coworkers ( ( ( ( left work ) and ) ( are ( driving ( to lunch ) ) ) ) . ) ),(ROOT (S (NP (NNS Coworkers)) (VP (VP (VBD left) (NP (NN work))) (CC and) (VP (VBP are) (VP (VBG driving) (PP (TO to) (NP (NN lunch)))))) (. .))) +386,['entailment'],3856149623.jpg#0,entailment,3856149623.jpg#0r1e,"Two female medical professionals, one african american& one white, looking over paperwork in a hospital.","( ( ( ( ( ( ( ( Two ( female ( medical professionals ) ) ) , ) ( ( ( one ( african american ) ) & ) one ) ) white ) , ) ( looking ( over paperwork ) ) ) ( in ( a hospital ) ) ) . )","(ROOT (NP (NP (NP (CD Two) (JJ female) (JJ medical) (NNS professionals)) (, ,) (NP (NP (CD one) (NN african) (NN american)) (CC &) (NP (CD one)))) (ADJP (JJ white)) (, ,) (VP (VBG looking) (PP (IN over) (NP (NN paperwork)))) (PP (IN in) (NP (DT a) (NN hospital))) (. .)))",There are people at work.,( There ( ( are ( people ( at work ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (PP (IN at) (NP (NN work))))) (. .))) +387,['neutral'],3856149623.jpg#3,neutral,3856149623.jpg#3r1n,Two ladies are reading through binders.,( ( Two ladies ) ( ( are ( reading ( through binders ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS ladies)) (VP (VBP are) (VP (VBG reading) (PP (IN through) (NP (NNS binders))))) (. .))),Two ladies are studying for their final exam.,( ( Two ladies ) ( ( are ( studying ( for ( their ( final exam ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS ladies)) (VP (VBP are) (VP (VBG studying) (PP (IN for) (NP (PRP$ their) (JJ final) (NN exam))))) (. .))) +388,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",3856149623.jpg#3,contradiction,3856149623.jpg#3r1c,Two ladies are reading through binders.,( ( Two ladies ) ( ( are ( reading ( through binders ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS ladies)) (VP (VBP are) (VP (VBG reading) (PP (IN through) (NP (NNS binders))))) (. .))),The girls are watching a movie.,( ( The girls ) ( ( are ( watching ( a movie ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS girls)) (VP (VBP are) (VP (VBG watching) (NP (DT a) (NN movie)))) (. .))) +389,['entailment'],3856149623.jpg#3,entailment,3856149623.jpg#3r1e,Two ladies are reading through binders.,( ( Two ladies ) ( ( are ( reading ( through binders ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS ladies)) (VP (VBP are) (VP (VBG reading) (PP (IN through) (NP (NNS binders))))) (. .))),Some women are reading.,( ( Some women ) ( ( are reading ) . ) ),(ROOT (S (NP (DT Some) (NNS women)) (VP (VBP are) (VP (VBG reading))) (. .))) +390,['neutral'],3526841158.jpg#0,neutral,3526841158.jpg#0r1n,A man in the distance is walking past a brick wall painted with words and graffiti.,( ( ( A man ) ( in ( the distance ) ) ) ( ( is ( walking ( past ( ( a ( brick wall ) ) ( painted ( with ( ( words and ) graffiti ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT the) (NN distance)))) (VP (VBZ is) (VP (VBG walking) (PP (IN past) (NP (NP (DT a) (NN brick) (NN wall)) (VP (VBN painted) (PP (IN with) (NP (NNS words) (CC and) (NNS graffiti)))))))) (. .))),A man walks away from a wall he has defaced.,( ( A man ) ( ( ( walks away ) ( from ( ( a wall ) ( he ( has defaced ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ walks) (PRT (RP away)) (PP (IN from) (NP (NP (DT a) (NN wall)) (SBAR (S (NP (PRP he)) (VP (VBZ has) (VP (VBN defaced)))))))) (. .))) +391,['contradiction'],3526841158.jpg#0,contradiction,3526841158.jpg#0r1c,A man in the distance is walking past a brick wall painted with words and graffiti.,( ( ( A man ) ( in ( the distance ) ) ) ( ( is ( walking ( past ( ( a ( brick wall ) ) ( painted ( with ( ( words and ) graffiti ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT the) (NN distance)))) (VP (VBZ is) (VP (VBG walking) (PP (IN past) (NP (NP (DT a) (NN brick) (NN wall)) (VP (VBN painted) (PP (IN with) (NP (NNS words) (CC and) (NNS graffiti)))))))) (. .))),A man sits and reads the graffiti on a wall.,( ( A man ) ( ( ( ( sits and ) reads ) ( ( the graffiti ) ( on ( a wall ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ sits) (CC and) (VBZ reads) (NP (NP (DT the) (NN graffiti)) (PP (IN on) (NP (DT a) (NN wall))))) (. .))) +392,['entailment'],3526841158.jpg#0,entailment,3526841158.jpg#0r1e,A man in the distance is walking past a brick wall painted with words and graffiti.,( ( ( A man ) ( in ( the distance ) ) ) ( ( is ( walking ( past ( ( a ( brick wall ) ) ( painted ( with ( ( words and ) graffiti ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT the) (NN distance)))) (VP (VBZ is) (VP (VBG walking) (PP (IN past) (NP (NP (DT a) (NN brick) (NN wall)) (VP (VBN painted) (PP (IN with) (NP (NNS words) (CC and) (NNS graffiti)))))))) (. .))),Grafffiti on a brick wall.,( ( Grafffiti ( on ( a ( brick wall ) ) ) ) . ),(ROOT (NP (NP (NNP Grafffiti)) (PP (IN on) (NP (DT a) (NN brick) (NN wall))) (. .))) +393,['contradiction'],7632093958.jpg#2,contradiction,7632093958.jpg#2r1c,A woman and a child holding on to the railing while on trolley.,( ( ( ( ( A woman ) and ) ( a child ) ) ( holding ( on ( to ( ( the ( railing while ) ) ( on trolley ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN woman)) (CC and) (NP (DT a) (NN child))) (VP (VBG holding) (PP (IN on) (PP (TO to) (NP (NP (DT the) (NN railing) (NN while)) (PP (IN on) (NP (NN trolley))))))) (. .))),The people are not holding onto anything.,( ( The people ) ( ( ( are not ) ( holding ( onto anything ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (RB not) (VP (VBG holding) (PP (IN onto) (NP (NN anything))))) (. .))) +394,['entailment'],7632093958.jpg#2,entailment,7632093958.jpg#2r1e,A woman and a child holding on to the railing while on trolley.,( ( ( ( ( A woman ) and ) ( a child ) ) ( holding ( on ( to ( ( the ( railing while ) ) ( on trolley ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN woman)) (CC and) (NP (DT a) (NN child))) (VP (VBG holding) (PP (IN on) (PP (TO to) (NP (NP (DT the) (NN railing) (NN while)) (PP (IN on) (NP (NN trolley))))))) (. .))),The people are holding onto the rail.,( ( The people ) ( ( are ( holding ( onto ( the rail ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG holding) (PP (IN onto) (NP (DT the) (NN rail))))) (. .))) +395,['neutral'],7632093958.jpg#2,neutral,7632093958.jpg#2r1n,A woman and a child holding on to the railing while on trolley.,( ( ( ( ( A woman ) and ) ( a child ) ) ( holding ( on ( to ( ( the ( railing while ) ) ( on trolley ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN woman)) (CC and) (NP (DT a) (NN child))) (VP (VBG holding) (PP (IN on) (PP (TO to) (NP (NP (DT the) (NN railing) (NN while)) (PP (IN on) (NP (NN trolley))))))) (. .))),The people are on a trolley in san Francisco.,( ( The people ) ( ( are ( on ( ( a trolley ) ( in ( san Francisco ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (PP (IN on) (NP (NP (DT a) (NN trolley)) (PP (IN in) (NP (NNP san) (NNP Francisco)))))) (. .))) +396,['contradiction'],4814575064.jpg#2,contradiction,4814575064.jpg#2r1c,A man in a striped polo shirt is pointing and smiling.,( ( ( A man ) ( in ( a ( striped ( polo shirt ) ) ) ) ) ( ( is ( ( pointing and ) smiling ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ striped) (NN polo) (NN shirt)))) (VP (VBZ is) (VP (VBG pointing) (CC and) (VBG smiling))) (. .))),The man is swimming,( ( The man ) ( is swimming ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG swimming))))) +397,['neutral'],4814575064.jpg#2,neutral,4814575064.jpg#2r1n,A man in a striped polo shirt is pointing and smiling.,( ( ( A man ) ( in ( a ( striped ( polo shirt ) ) ) ) ) ( ( is ( ( pointing and ) smiling ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ striped) (NN polo) (NN shirt)))) (VP (VBZ is) (VP (VBG pointing) (CC and) (VBG smiling))) (. .))),The man is outside,( ( The man ) ( is outside ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (ADVP (RB outside))))) +398,['entailment'],4814575064.jpg#2,entailment,4814575064.jpg#2r1e,A man in a striped polo shirt is pointing and smiling.,( ( ( A man ) ( in ( a ( striped ( polo shirt ) ) ) ) ) ( ( is ( ( pointing and ) smiling ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ striped) (NN polo) (NN shirt)))) (VP (VBZ is) (VP (VBG pointing) (CC and) (VBG smiling))) (. .))),The man seems happy,( ( The man ) ( seems happy ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ seems) (ADJP (JJ happy))))) +399,"['neutral', 'neutral', 'neutral', 'neutral']",2914800692.jpg#2,neutral,2914800692.jpg#2r1n,A guy performing a bicycle jump trick for an audience.,( ( ( A guy ) ( performing ( ( a ( bicycle ( jump trick ) ) ) ( for ( an audience ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN guy)) (VP (VBG performing) (NP (NP (DT a) (NN bicycle) (NN jump) (NN trick)) (PP (IN for) (NP (DT an) (NN audience))))) (. .))),a bmx pro is doing a triple backflip,( ( a ( bmx pro ) ) ( is ( doing ( a ( triple backflip ) ) ) ) ),(ROOT (S (NP (FW a) (FW bmx) (FW pro)) (VP (VBZ is) (VP (VBG doing) (NP (DT a) (JJ triple) (NN backflip)))))) +400,['contradiction'],2914800692.jpg#2,contradiction,2914800692.jpg#2r1c,A guy performing a bicycle jump trick for an audience.,( ( ( A guy ) ( performing ( ( a ( bicycle ( jump trick ) ) ) ( for ( an audience ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN guy)) (VP (VBG performing) (NP (NP (DT a) (NN bicycle) (NN jump) (NN trick)) (PP (IN for) (NP (DT an) (NN audience))))) (. .))),tony hawk is performing a skating trick,( ( tony hawk ) ( is ( performing ( a ( skating trick ) ) ) ) ),(ROOT (S (NP (JJ tony) (NN hawk)) (VP (VBZ is) (VP (VBG performing) (NP (DT a) (VBG skating) (NN trick)))))) +401,['entailment'],2914800692.jpg#2,entailment,2914800692.jpg#2r1e,A guy performing a bicycle jump trick for an audience.,( ( ( A guy ) ( performing ( ( a ( bicycle ( jump trick ) ) ) ( for ( an audience ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN guy)) (VP (VBG performing) (NP (NP (DT a) (NN bicycle) (NN jump) (NN trick)) (PP (IN for) (NP (DT an) (NN audience))))) (. .))),a guy is performing a bike trick,( ( a guy ) ( is ( performing ( a ( bike trick ) ) ) ) ),(ROOT (S (NP (DT a) (NN guy)) (VP (VBZ is) (VP (VBG performing) (NP (DT a) (NN bike) (NN trick)))))) +402,['entailment'],3178460509.jpg#0,entailment,3178460509.jpg#0r1e,A gray-haired woman in a blue dress coat with snowflakes on it balances something on her head.,( ( ( A ( gray-haired woman ) ) ( in ( ( a ( blue ( dress coat ) ) ) ( with ( snowflakes ( on it ) ) ) ) ) ) ( ( balances ( something ( on ( her head ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ gray-haired) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN dress) (NN coat)) (PP (IN with) (NP (NP (NNS snowflakes)) (PP (IN on) (NP (PRP it)))))))) (VP (VBZ balances) (NP (NP (NN something)) (PP (IN on) (NP (PRP$ her) (NN head))))) (. .))),The woman is wearing a coat.,( ( The woman ) ( ( is ( wearing ( a coat ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN coat)))) (. .))) +403,['contradiction'],3178460509.jpg#0,contradiction,3178460509.jpg#0r1c,A gray-haired woman in a blue dress coat with snowflakes on it balances something on her head.,( ( ( A ( gray-haired woman ) ) ( in ( ( a ( blue ( dress coat ) ) ) ( with ( snowflakes ( on it ) ) ) ) ) ) ( ( balances ( something ( on ( her head ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ gray-haired) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN dress) (NN coat)) (PP (IN with) (NP (NP (NNS snowflakes)) (PP (IN on) (NP (PRP it)))))))) (VP (VBZ balances) (NP (NP (NN something)) (PP (IN on) (NP (PRP$ her) (NN head))))) (. .))),The woman loves her blonde hair.,( ( The woman ) ( ( loves ( her ( blonde hair ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ loves) (NP (PRP$ her) (JJ blonde) (NN hair))) (. .))) +404,['neutral'],3178460509.jpg#0,neutral,3178460509.jpg#0r1n,A gray-haired woman in a blue dress coat with snowflakes on it balances something on her head.,( ( ( A ( gray-haired woman ) ) ( in ( ( a ( blue ( dress coat ) ) ) ( with ( snowflakes ( on it ) ) ) ) ) ) ( ( balances ( something ( on ( her head ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ gray-haired) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN dress) (NN coat)) (PP (IN with) (NP (NP (NNS snowflakes)) (PP (IN on) (NP (PRP it)))))))) (VP (VBZ balances) (NP (NP (NN something)) (PP (IN on) (NP (PRP$ her) (NN head))))) (. .))),The woman is guarding herself from the snow.,( ( The woman ) ( ( is ( ( guarding herself ) ( from ( the snow ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG guarding) (NP (PRP herself)) (PP (IN from) (NP (DT the) (NN snow))))) (. .))) +405,['neutral'],3827316480.jpg#4,neutral,3827316480.jpg#4r1n,Two children play outside in a field.,( ( Two children ) ( ( ( play outside ) ( in ( a field ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS children)) (VP (VBP play) (ADVP (RB outside)) (PP (IN in) (NP (DT a) (NN field)))) (. .))),A brother and sister chase each other in a field.,( ( A ( ( brother and ) sister ) ) ( ( ( chase ( each other ) ) ( in ( a field ) ) ) . ) ),(ROOT (S (NP (DT A) (NN brother) (CC and) (NN sister)) (VP (VB chase) (NP (DT each) (JJ other)) (PP (IN in) (NP (DT a) (NN field)))) (. .))) +406,['entailment'],3827316480.jpg#4,entailment,3827316480.jpg#4r1e,Two children play outside in a field.,( ( Two children ) ( ( ( play outside ) ( in ( a field ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS children)) (VP (VBP play) (ADVP (RB outside)) (PP (IN in) (NP (DT a) (NN field)))) (. .))),Kids are playing outdoors.,( Kids ( ( are ( playing outdoors ) ) . ) ),(ROOT (S (NP (NNP Kids)) (VP (VBP are) (VP (VBG playing) (ADVP (RB outdoors)))) (. .))) +407,['contradiction'],3827316480.jpg#4,contradiction,3827316480.jpg#4r1c,Two children play outside in a field.,( ( Two children ) ( ( ( play outside ) ( in ( a field ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS children)) (VP (VBP play) (ADVP (RB outside)) (PP (IN in) (NP (DT a) (NN field)))) (. .))),Two children are reading at their desks.,( ( Two children ) ( ( are ( reading ( at ( their desks ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS children)) (VP (VBP are) (VP (VBG reading) (PP (IN at) (NP (PRP$ their) (NNS desks))))) (. .))) +408,['contradiction'],138043357.jpg#0,contradiction,138043357.jpg#0r1c,"One man sits inside and plays the banjo, there are trees behind him outside.","( ( ( One man ) ( ( ( sits inside ) and ) ( plays ( the banjo ) ) ) ) ( , ( there ( ( ( are ( trees ( behind him ) ) ) outside ) . ) ) ) )","(ROOT (S (S (NP (CD One) (NN man)) (VP (VP (VBZ sits) (ADVP (RB inside))) (CC and) (VP (VBZ plays) (NP (DT the) (NN banjo))))) (, ,) (NP (EX there)) (VP (VBP are) (NP (NP (NNS trees)) (PP (IN behind) (NP (PRP him)))) (ADVP (RB outside))) (. .)))",A man runs outside.,( ( A man ) ( ( runs outside ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ runs) (ADVP (RB outside))) (. .))) +409,['entailment'],138043357.jpg#0,entailment,138043357.jpg#0r1e,"One man sits inside and plays the banjo, there are trees behind him outside.","( ( ( One man ) ( ( ( sits inside ) and ) ( plays ( the banjo ) ) ) ) ( , ( there ( ( ( are ( trees ( behind him ) ) ) outside ) . ) ) ) )","(ROOT (S (S (NP (CD One) (NN man)) (VP (VP (VBZ sits) (ADVP (RB inside))) (CC and) (VP (VBZ plays) (NP (DT the) (NN banjo))))) (, ,) (NP (EX there)) (VP (VBP are) (NP (NP (NNS trees)) (PP (IN behind) (NP (PRP him)))) (ADVP (RB outside))) (. .)))",A male sitting indoors.,( ( ( A male ) ( sitting indoors ) ) . ),(ROOT (NP (NP (DT A) (NN male)) (VP (VBG sitting) (ADVP (RB indoors))) (. .))) +410,"['neutral', 'neutral', 'neutral', 'neutral', 'contradiction']",138043357.jpg#0,neutral,138043357.jpg#0r1n,"One man sits inside and plays the banjo, there are trees behind him outside.","( ( ( One man ) ( ( ( sits inside ) and ) ( plays ( the banjo ) ) ) ) ( , ( there ( ( ( are ( trees ( behind him ) ) ) outside ) . ) ) ) )","(ROOT (S (S (NP (CD One) (NN man)) (VP (VP (VBZ sits) (ADVP (RB inside))) (CC and) (VP (VBZ plays) (NP (DT the) (NN banjo))))) (, ,) (NP (EX there)) (VP (VBP are) (NP (NP (NNS trees)) (PP (IN behind) (NP (PRP him)))) (ADVP (RB outside))) (. .)))",A male plays a banjo while sitting on a sofa.,( ( A male ) ( ( ( plays ( a banjo ) ) ( while ( sitting ( on ( a sofa ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN male)) (VP (VBZ plays) (NP (DT a) (NN banjo)) (PP (IN while) (S (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN sofa))))))) (. .))) +411,['contradiction'],3827316480.jpg#1,contradiction,3827316480.jpg#1r1c,"Two children, in colorful outfits, playing in a field with a big rock in the middle.","( ( ( ( Two children ) , ) ( in ( colorful outfits ) ) ) ( , ( ( playing ( in ( ( a field ) ( with ( ( a ( big rock ) ) ( in ( the middle ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Two) (NNS children)) (, ,) (PP (IN in) (NP (JJ colorful) (NNS outfits)))) (, ,) (VP (VBG playing) (PP (IN in) (NP (NP (DT a) (NN field)) (PP (IN with) (NP (NP (DT a) (JJ big) (NN rock)) (PP (IN in) (NP (DT the) (NN middle)))))))) (. .)))",Don't play with rocks,( ( Do n't ) ( play ( with rocks ) ) ),(ROOT (S (VP (VB Do) (RB n't) (VP (VB play) (PP (IN with) (NP (NNS rocks))))))) +412,['entailment'],3827316480.jpg#1,entailment,3827316480.jpg#1r1e,"Two children, in colorful outfits, playing in a field with a big rock in the middle.","( ( ( ( Two children ) , ) ( in ( colorful outfits ) ) ) ( , ( ( playing ( in ( ( a field ) ( with ( ( a ( big rock ) ) ( in ( the middle ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Two) (NNS children)) (, ,) (PP (IN in) (NP (JJ colorful) (NNS outfits)))) (, ,) (VP (VBG playing) (PP (IN in) (NP (NP (DT a) (NN field)) (PP (IN with) (NP (NP (DT a) (JJ big) (NN rock)) (PP (IN in) (NP (DT the) (NN middle)))))))) (. .)))",Two kids are playing with a big rock in the field,( ( Two kids ) ( are ( playing ( with ( ( a ( big rock ) ) ( in ( the field ) ) ) ) ) ) ),(ROOT (S (NP (CD Two) (NNS kids)) (VP (VBP are) (VP (VBG playing) (PP (IN with) (NP (NP (DT a) (JJ big) (NN rock)) (PP (IN in) (NP (DT the) (NN field))))))))) +413,"['neutral', 'neutral', 'entailment', 'entailment', 'neutral']",3827316480.jpg#1,neutral,3827316480.jpg#1r1n,"Two children, in colorful outfits, playing in a field with a big rock in the middle.","( ( ( ( Two children ) , ) ( in ( colorful outfits ) ) ) ( , ( ( playing ( in ( ( a field ) ( with ( ( a ( big rock ) ) ( in ( the middle ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Two) (NNS children)) (, ,) (PP (IN in) (NP (JJ colorful) (NNS outfits)))) (, ,) (VP (VBG playing) (PP (IN in) (NP (NP (DT a) (NN field)) (PP (IN with) (NP (NP (DT a) (JJ big) (NN rock)) (PP (IN in) (NP (DT the) (NN middle)))))))) (. .)))",Two kids are playing with a big rock in the field with family,( ( Two kids ) ( are ( playing ( with ( ( a ( big rock ) ) ( in ( ( the field ) ( with family ) ) ) ) ) ) ) ),(ROOT (S (NP (CD Two) (NNS kids)) (VP (VBP are) (VP (VBG playing) (PP (IN with) (NP (NP (DT a) (JJ big) (NN rock)) (PP (IN in) (NP (NP (DT the) (NN field)) (PP (IN with) (NP (NN family))))))))))) +414,['neutral'],3827316480.jpg#2,neutral,3827316480.jpg#2r1n,Two young girls are playing outside in a non-urban environment.,( ( Two ( young girls ) ) ( ( are ( ( playing outside ) ( in ( a ( non-urban environment ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ young) (NNS girls)) (VP (VBP are) (VP (VBG playing) (ADVP (RB outside)) (PP (IN in) (NP (DT a) (JJ non-urban) (NN environment))))) (. .))),Some girls are running through an open field.,( ( Some girls ) ( ( are ( running ( through ( an ( open field ) ) ) ) ) . ) ),(ROOT (S (NP (DT Some) (NNS girls)) (VP (VBP are) (VP (VBG running) (PP (IN through) (NP (DT an) (JJ open) (NN field))))) (. .))) +415,['entailment'],3827316480.jpg#2,entailment,3827316480.jpg#2r1e,Two young girls are playing outside in a non-urban environment.,( ( Two ( young girls ) ) ( ( are ( ( playing outside ) ( in ( a ( non-urban environment ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ young) (NNS girls)) (VP (VBP are) (VP (VBG playing) (ADVP (RB outside)) (PP (IN in) (NP (DT a) (JJ non-urban) (NN environment))))) (. .))),Two girls are playing outside.,( ( Two girls ) ( ( are ( playing outside ) ) . ) ),(ROOT (S (NP (CD Two) (NNS girls)) (VP (VBP are) (VP (VBG playing) (ADVP (RB outside)))) (. .))) +416,['contradiction'],3827316480.jpg#2,contradiction,3827316480.jpg#2r1c,Two young girls are playing outside in a non-urban environment.,( ( Two ( young girls ) ) ( ( are ( ( playing outside ) ( in ( a ( non-urban environment ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ young) (NNS girls)) (VP (VBP are) (VP (VBG playing) (ADVP (RB outside)) (PP (IN in) (NP (DT a) (JJ non-urban) (NN environment))))) (. .))),"Some girls are running on the sidewalk, next to some parked cars.","( ( Some girls ) ( ( are ( running ( ( ( ( on ( the sidewalk ) ) , ) next ) ( to ( some ( parked cars ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT Some) (NNS girls)) (VP (VBP are) (VP (VBG running) (PP (PP (IN on) (NP (DT the) (NN sidewalk))) (, ,) (RB next) (PP (TO to) (NP (DT some) (VBN parked) (NNS cars)))))) (. .)))" +417,['contradiction'],3827316480.jpg#3,contradiction,3827316480.jpg#3r1c,"Two children in hats play in an open, rocky field.","( ( ( Two children ) ( in hats ) ) ( ( play ( in ( an ( open ( , ( rocky field ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Two) (NNS children)) (PP (IN in) (NP (NNS hats)))) (VP (VBP play) (PP (IN in) (NP (DT an) (JJ open) (, ,) (JJ rocky) (NN field)))) (. .)))",The children are at home eating lunch.,( ( The children ) ( ( ( are ( at home ) ) ( eating lunch ) ) . ) ),(ROOT (S (NP (DT The) (NNS children)) (VP (VBP are) (ADVP (IN at) (NN home)) (VP (VBG eating) (NP (NN lunch)))) (. .))) +418,['entailment'],3827316480.jpg#3,entailment,3827316480.jpg#3r1e,"Two children in hats play in an open, rocky field.","( ( ( Two children ) ( in hats ) ) ( ( play ( in ( an ( open ( , ( rocky field ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Two) (NNS children)) (PP (IN in) (NP (NNS hats)))) (VP (VBP play) (PP (IN in) (NP (DT an) (JJ open) (, ,) (JJ rocky) (NN field)))) (. .)))",The children are playing in a rocky field.,( ( The children ) ( ( are ( playing ( in ( a ( rocky field ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS children)) (VP (VBP are) (VP (VBG playing) (PP (IN in) (NP (DT a) (JJ rocky) (NN field))))) (. .))) +419,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",3827316480.jpg#3,neutral,3827316480.jpg#3r1n,"Two children in hats play in an open, rocky field.","( ( ( Two children ) ( in hats ) ) ( ( play ( in ( an ( open ( , ( rocky field ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Two) (NNS children)) (PP (IN in) (NP (NNS hats)))) (VP (VBP play) (PP (IN in) (NP (DT an) (JJ open) (, ,) (JJ rocky) (NN field)))) (. .)))",The children are playing catch.,( ( The children ) ( ( are ( playing catch ) ) . ) ),(ROOT (S (NP (DT The) (NNS children)) (VP (VBP are) (VP (VBG playing) (NP (VB catch)))) (. .))) +420,['neutral'],5728470160.jpg#1,neutral,5728470160.jpg#1r1n,A woman wearing a green and pink dress is dancing with someone wearing a blue top with white pants.,( ( ( A woman ) ( wearing ( a ( ( ( green and ) pink ) dress ) ) ) ) ( ( is ( ( dancing ( with someone ) ) ( ( wearing ( a ( blue top ) ) ) ( with ( white pants ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ green) (CC and) (JJ pink)) (NN dress)))) (VP (VBZ is) (VP (VBG dancing) (PP (IN with) (NP (NN someone))) (S (VP (VBG wearing) (NP (DT a) (JJ blue) (NN top)) (PP (IN with) (NP (JJ white) (NNS pants))))))) (. .))),The dancing woman is on the grass.,( ( The ( dancing woman ) ) ( ( is ( on ( the grass ) ) ) . ) ),(ROOT (S (NP (DT The) (VBG dancing) (NN woman)) (VP (VBZ is) (PP (IN on) (NP (DT the) (NN grass)))) (. .))) +421,['entailment'],5728470160.jpg#1,entailment,5728470160.jpg#1r1e,A woman wearing a green and pink dress is dancing with someone wearing a blue top with white pants.,( ( ( A woman ) ( wearing ( a ( ( ( green and ) pink ) dress ) ) ) ) ( ( is ( ( dancing ( with someone ) ) ( ( wearing ( a ( blue top ) ) ) ( with ( white pants ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ green) (CC and) (JJ pink)) (NN dress)))) (VP (VBZ is) (VP (VBG dancing) (PP (IN with) (NP (NN someone))) (S (VP (VBG wearing) (NP (DT a) (JJ blue) (NN top)) (PP (IN with) (NP (JJ white) (NNS pants))))))) (. .))),The woman in green and pink is dancing.,( ( ( The woman ) ( in ( ( green and ) pink ) ) ) ( ( is dancing ) . ) ),(ROOT (S (NP (NP (DT The) (NN woman)) (PP (IN in) (ADJP (JJ green) (CC and) (JJ pink)))) (VP (VBZ is) (VP (VBG dancing))) (. .))) +422,['contradiction'],5728470160.jpg#1,contradiction,5728470160.jpg#1r1c,A woman wearing a green and pink dress is dancing with someone wearing a blue top with white pants.,( ( ( A woman ) ( wearing ( a ( ( ( green and ) pink ) dress ) ) ) ) ( ( is ( ( dancing ( with someone ) ) ( ( wearing ( a ( blue top ) ) ) ( with ( white pants ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ green) (CC and) (JJ pink)) (NN dress)))) (VP (VBZ is) (VP (VBG dancing) (PP (IN with) (NP (NN someone))) (S (VP (VBG wearing) (NP (DT a) (JJ blue) (NN top)) (PP (IN with) (NP (JJ white) (NNS pants))))))) (. .))),The dancing woman is alone in her bedroom.,( ( The ( dancing woman ) ) ( ( ( is alone ) ( in ( her bedroom ) ) ) . ) ),(ROOT (S (NP (DT The) (VBG dancing) (NN woman)) (VP (VBZ is) (ADVP (RB alone)) (PP (IN in) (NP (PRP$ her) (NN bedroom)))) (. .))) +423,['entailment'],471667964.jpg#4,entailment,471667964.jpg#4r1e,Man in gold pants looking at the camera.,( ( ( Man ( in ( gold pants ) ) ) ( looking ( at ( the camera ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Man)) (PP (IN in) (NP (JJ gold) (NNS pants)))) (VP (VBG looking) (PP (IN at) (NP (DT the) (NN camera)))) (. .))),Man looking at the camera.,( ( Man ( looking ( at ( the camera ) ) ) ) . ),(ROOT (NP (NP (NNP Man)) (VP (VBG looking) (PP (IN at) (NP (DT the) (NN camera)))) (. .))) +424,['neutral'],471667964.jpg#4,neutral,471667964.jpg#4r1n,Man in gold pants looking at the camera.,( ( ( Man ( in ( gold pants ) ) ) ( looking ( at ( the camera ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Man)) (PP (IN in) (NP (JJ gold) (NNS pants)))) (VP (VBG looking) (PP (IN at) (NP (DT the) (NN camera)))) (. .))),Man looking at something.,( ( Man ( looking ( at something ) ) ) . ),(ROOT (NP (NP (NNP Man)) (VP (VBG looking) (PP (IN at) (NP (NN something)))) (. .))) +425,['contradiction'],471667964.jpg#4,contradiction,471667964.jpg#4r1c,Man in gold pants looking at the camera.,( ( ( Man ( in ( gold pants ) ) ) ( looking ( at ( the camera ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Man)) (PP (IN in) (NP (JJ gold) (NNS pants)))) (VP (VBG looking) (PP (IN at) (NP (DT the) (NN camera)))) (. .))),Man is walking away to the hall.,( Man ( ( is ( ( walking away ) ( to ( the hall ) ) ) ) . ) ),(ROOT (S (NP (NNP Man)) (VP (VBZ is) (VP (VBG walking) (ADVP (RB away)) (PP (TO to) (NP (DT the) (NN hall))))) (. .))) +426,['entailment'],471667964.jpg#3,entailment,471667964.jpg#3r1e,A man in a gold skirt sits in front of the computer.,( ( ( A man ) ( in ( a ( gold skirt ) ) ) ) ( ( sits ( in ( front ( of ( the computer ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ gold) (NN skirt)))) (VP (VBZ sits) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT the) (NN computer)))))) (. .))),A man in a gold skirt sitting at his computer watching the computer screen.,( ( ( ( A man ) ( in ( a ( gold skirt ) ) ) ) ( ( sitting ( at ( his computer ) ) ) ( watching ( the ( computer screen ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ gold) (NN skirt)))) (VP (VBG sitting) (PP (IN at) (NP (PRP$ his) (NN computer))) (S (VP (VBG watching) (NP (DT the) (NN computer) (NN screen))))) (. .))) +427,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",471667964.jpg#3,neutral,471667964.jpg#3r1n,A man in a gold skirt sits in front of the computer.,( ( ( A man ) ( in ( a ( gold skirt ) ) ) ) ( ( sits ( in ( front ( of ( the computer ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ gold) (NN skirt)))) (VP (VBZ sits) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT the) (NN computer)))))) (. .))),A man in a golf skirt sitting at his computer typing to his friends online.,( ( ( A man ) ( in ( ( a ( golf skirt ) ) ( ( sitting ( at ( his ( computer typing ) ) ) ) ( to ( his friends ) ) ) ) ) ) ( online . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NP (DT a) (NN golf) (NN skirt)) (VP (VBG sitting) (PP (IN at) (NP (PRP$ his) (NN computer) (NN typing))) (PP (TO to) (NP (PRP$ his) (NNS friends))))))) (VP (VBD online)) (. .))) +428,['contradiction'],471667964.jpg#3,contradiction,471667964.jpg#3r1c,A man in a gold skirt sits in front of the computer.,( ( ( A man ) ( in ( a ( gold skirt ) ) ) ) ( ( sits ( in ( front ( of ( the computer ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ gold) (NN skirt)))) (VP (VBZ sits) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT the) (NN computer)))))) (. .))),A man in blue pants sitting and watching the television.,( ( ( ( A man ) ( in ( blue pants ) ) ) ( ( ( sitting and ) watching ) ( the television ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (PP (IN in) (NP (JJ blue) (NNS pants)))) (VP (VBG sitting) (CC and) (VBG watching) (NP (DT the) (NN television))) (. .))) +429,"['entailment', 'entailment', 'neutral', 'neutral', 'entailment']",471667964.jpg#2,entailment,471667964.jpg#2r1e,Man wearing black t-shirt sitting at a computer desk.,( ( Man ( wearing ( ( black t-shirt ) ( sitting ( at ( a ( computer desk ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NNP Man)) (VP (VBG wearing) (NP (NP (JJ black) (NN t-shirt)) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN computer) (NN desk)))))) (. .))),the man is working on the computer,( ( the man ) ( is ( working ( on ( the computer ) ) ) ) ),(ROOT (S (NP (DT the) (NN man)) (VP (VBZ is) (VP (VBG working) (PP (IN on) (NP (DT the) (NN computer))))))) +430,['contradiction'],471667964.jpg#2,contradiction,471667964.jpg#2r1c,Man wearing black t-shirt sitting at a computer desk.,( ( Man ( wearing ( ( black t-shirt ) ( sitting ( at ( a ( computer desk ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NNP Man)) (VP (VBG wearing) (NP (NP (JJ black) (NN t-shirt)) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN computer) (NN desk)))))) (. .))),the man called off work and was at the zoo all day,( ( the man ) ( ( ( ( called off ) work ) and ) ( ( was ( at ( the zoo ) ) ) ( all day ) ) ) ),(ROOT (S (NP (DT the) (NN man)) (VP (VP (VBD called) (PRT (RP off)) (NP (NN work))) (CC and) (VP (VBD was) (PP (IN at) (NP (DT the) (NN zoo))) (NP (DT all) (NN day)))))) +431,['neutral'],471667964.jpg#2,neutral,471667964.jpg#2r1n,Man wearing black t-shirt sitting at a computer desk.,( ( Man ( wearing ( ( black t-shirt ) ( sitting ( at ( a ( computer desk ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NNP Man)) (VP (VBG wearing) (NP (NP (JJ black) (NN t-shirt)) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN computer) (NN desk)))))) (. .))),the man is doing a project for work,( ( the man ) ( is ( doing ( ( a project ) ( for work ) ) ) ) ),(ROOT (S (NP (DT the) (NN man)) (VP (VBZ is) (VP (VBG doing) (NP (NP (DT a) (NN project)) (PP (IN for) (NP (NN work)))))))) +432,['contradiction'],471667964.jpg#1,contradiction,471667964.jpg#1r1c,A bearded man in a black t-shirt sits in front of a desk holding a computer.,( ( ( A ( bearded man ) ) ( in ( a ( black t-shirt ) ) ) ) ( ( sits ( in ( front ( of ( ( a desk ) ( holding ( a computer ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ bearded) (NN man)) (PP (IN in) (NP (DT a) (JJ black) (NN t-shirt)))) (VP (VBZ sits) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (NP (DT a) (NN desk)) (VP (VBG holding) (NP (DT a) (NN computer)))))))) (. .))),A man is standing in the rain.,( ( A man ) ( ( is ( standing ( in ( the rain ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG standing) (PP (IN in) (NP (DT the) (NN rain))))) (. .))) +433,['entailment'],471667964.jpg#1,entailment,471667964.jpg#1r1e,A bearded man in a black t-shirt sits in front of a desk holding a computer.,( ( ( A ( bearded man ) ) ( in ( a ( black t-shirt ) ) ) ) ( ( sits ( in ( front ( of ( ( a desk ) ( holding ( a computer ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ bearded) (NN man)) (PP (IN in) (NP (DT a) (JJ black) (NN t-shirt)))) (VP (VBZ sits) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (NP (DT a) (NN desk)) (VP (VBG holding) (NP (DT a) (NN computer)))))))) (. .))),A man waiting with his computer.,( ( ( A man ) ( waiting ( with ( his computer ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG waiting) (PP (IN with) (NP (PRP$ his) (NN computer)))) (. .))) +434,['neutral'],471667964.jpg#1,neutral,471667964.jpg#1r1n,A bearded man in a black t-shirt sits in front of a desk holding a computer.,( ( ( A ( bearded man ) ) ( in ( a ( black t-shirt ) ) ) ) ( ( sits ( in ( front ( of ( ( a desk ) ( holding ( a computer ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ bearded) (NN man)) (PP (IN in) (NP (DT a) (JJ black) (NN t-shirt)))) (VP (VBZ sits) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (NP (DT a) (NN desk)) (VP (VBG holding) (NP (DT a) (NN computer)))))))) (. .))),A man buying a new laptop.,( ( ( A man ) ( buying ( a ( new laptop ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG buying) (NP (DT a) (JJ new) (NN laptop))) (. .))) +435,['entailment'],471667964.jpg#0,entailment,471667964.jpg#0r1e,"A man in a gold foils skirt, sitting at a computer desk, looks at the camera with his hands raised to his face.","( ( ( A man ) ( in ( a ( gold ( foils skirt ) ) ) ) ) ( , ( ( sitting ( at ( a ( computer desk ) ) ) ) ( , ( ( looks ( at ( ( the camera ) ( with ( ( his hands ) ( raised ( to ( his face ) ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ gold) (NNS foils) (NN skirt)))) (, ,) (S (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN computer) (NN desk))))) (, ,) (VP (VBZ looks) (PP (IN at) (NP (NP (DT the) (NN camera)) (PP (IN with) (NP (NP (PRP$ his) (NNS hands)) (VP (VBN raised) (PP (TO to) (NP (PRP$ his) (NN face))))))))) (. .)))",a man is looking at his webcam,( ( a man ) ( is ( looking ( at ( his webcam ) ) ) ) ),(ROOT (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (PRP$ his) (NN webcam))))))) +436,['neutral'],471667964.jpg#0,neutral,471667964.jpg#0r1n,"A man in a gold foils skirt, sitting at a computer desk, looks at the camera with his hands raised to his face.","( ( ( A man ) ( in ( a ( gold ( foils skirt ) ) ) ) ) ( , ( ( sitting ( at ( a ( computer desk ) ) ) ) ( , ( ( looks ( at ( ( the camera ) ( with ( ( his hands ) ( raised ( to ( his face ) ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ gold) (NNS foils) (NN skirt)))) (, ,) (S (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN computer) (NN desk))))) (, ,) (VP (VBZ looks) (PP (IN at) (NP (NP (DT the) (NN camera)) (PP (IN with) (NP (NP (PRP$ his) (NNS hands)) (VP (VBN raised) (PP (TO to) (NP (PRP$ his) (NN face))))))))) (. .)))",he is covering up his face,( he ( is ( ( covering up ) ( his face ) ) ) ),(ROOT (S (NP (PRP he)) (VP (VBZ is) (VP (VBG covering) (PRT (RP up)) (NP (PRP$ his) (NN face)))))) +437,['contradiction'],471667964.jpg#0,contradiction,471667964.jpg#0r1c,"A man in a gold foils skirt, sitting at a computer desk, looks at the camera with his hands raised to his face.","( ( ( A man ) ( in ( a ( gold ( foils skirt ) ) ) ) ) ( , ( ( sitting ( at ( a ( computer desk ) ) ) ) ( , ( ( looks ( at ( ( the camera ) ( with ( ( his hands ) ( raised ( to ( his face ) ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ gold) (NNS foils) (NN skirt)))) (, ,) (S (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN computer) (NN desk))))) (, ,) (VP (VBZ looks) (PP (IN at) (NP (NP (DT the) (NN camera)) (PP (IN with) (NP (NP (PRP$ his) (NNS hands)) (VP (VBN raised) (PP (TO to) (NP (PRP$ his) (NN face))))))))) (. .)))",a man is sticking his tongue out,( ( a man ) ( is ( ( sticking ( his tongue ) ) out ) ) ),(ROOT (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG sticking) (NP (PRP$ his) (NN tongue)) (PRT (RP out)))))) +438,['entailment'],621000329.jpg#4,entailment,621000329.jpg#4r1e,A young girl sitting at a table with a bowl on her head,( ( A ( young girl ) ) ( sitting ( at ( ( a table ) ( with ( ( a bowl ) ( on ( her head ) ) ) ) ) ) ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN girl)) (VP (VBG sitting) (PP (IN at) (NP (NP (DT a) (NN table)) (PP (IN with) (NP (NP (DT a) (NN bowl)) (PP (IN on) (NP (PRP$ her) (NN head))))))))))),A young girl has a bowl on her head,( ( A ( young girl ) ) ( has ( ( a bowl ) ( on ( her head ) ) ) ) ),(ROOT (S (NP (DT A) (JJ young) (NN girl)) (VP (VBZ has) (NP (NP (DT a) (NN bowl)) (PP (IN on) (NP (PRP$ her) (NN head))))))) +439,['neutral'],621000329.jpg#4,neutral,621000329.jpg#4r1n,A young girl sitting at a table with a bowl on her head,( ( A ( young girl ) ) ( sitting ( at ( ( a table ) ( with ( ( a bowl ) ( on ( her head ) ) ) ) ) ) ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN girl)) (VP (VBG sitting) (PP (IN at) (NP (NP (DT a) (NN table)) (PP (IN with) (NP (NP (DT a) (NN bowl)) (PP (IN on) (NP (PRP$ her) (NN head))))))))))),A toddler dumped her bowl of spaghetti on her head,( ( A toddler ) ( ( dumped ( ( her bowl ) ( of spaghetti ) ) ) ( on ( her head ) ) ) ),(ROOT (S (NP (DT A) (NN toddler)) (VP (VBD dumped) (NP (NP (PRP$ her) (NN bowl)) (PP (IN of) (NP (NNS spaghetti)))) (PP (IN on) (NP (PRP$ her) (NN head)))))) +440,['contradiction'],621000329.jpg#4,contradiction,621000329.jpg#4r1c,A young girl sitting at a table with a bowl on her head,( ( A ( young girl ) ) ( sitting ( at ( ( a table ) ( with ( ( a bowl ) ( on ( her head ) ) ) ) ) ) ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN girl)) (VP (VBG sitting) (PP (IN at) (NP (NP (DT a) (NN table)) (PP (IN with) (NP (NP (DT a) (NN bowl)) (PP (IN on) (NP (PRP$ her) (NN head))))))))))),A man is eating cereal in his car,( ( A man ) ( is ( ( eating cereal ) ( in ( his car ) ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG eating) (NP (NN cereal)) (PP (IN in) (NP (PRP$ his) (NN car))))))) +441,['neutral'],3224560800.jpg#2,neutral,3224560800.jpg#2r1n,A man dances with a fire baton at night.,( ( A man ) ( ( ( dances ( with ( a ( fire baton ) ) ) ) ( at night ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ dances) (PP (IN with) (NP (DT a) (NN fire) (NN baton))) (PP (IN at) (NP (NN night)))) (. .))),the crowd cheers as he peforms,( ( ( the crowd ) ( cheers ( as he ) ) ) peforms ),(ROOT (NP (NP (DT the) (NN crowd)) (NP (NP (NNS cheers)) (PP (IN as) (NP (PRP he)))) (NP (NNS peforms)))) +442,['contradiction'],3224560800.jpg#2,contradiction,3224560800.jpg#2r1c,A man dances with a fire baton at night.,( ( A man ) ( ( ( dances ( with ( a ( fire baton ) ) ) ) ( at night ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ dances) (PP (IN with) (NP (DT a) (NN fire) (NN baton))) (PP (IN at) (NP (NN night)))) (. .))),the woman does a hula dance,( ( the woman ) ( does ( a ( hula dance ) ) ) ),(ROOT (S (NP (DT the) (NN woman)) (VP (VBZ does) (NP (DT a) (JJ hula) (NN dance))))) +443,['entailment'],3224560800.jpg#2,entailment,3224560800.jpg#2r1e,A man dances with a fire baton at night.,( ( A man ) ( ( ( dances ( with ( a ( fire baton ) ) ) ) ( at night ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ dances) (PP (IN with) (NP (DT a) (NN fire) (NN baton))) (PP (IN at) (NP (NN night)))) (. .))),the man is dancing,( ( the man ) ( is dancing ) ),(ROOT (S (NP (DT the) (NN man)) (VP (VBZ is) (VP (VBG dancing))))) +444,['entailment'],430543100.jpg#4,entailment,430543100.jpg#4r1e,A doctor checks the stomach of a toddler.,( ( A doctor ) ( ( checks ( ( the stomach ) ( of ( a toddler ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN doctor)) (VP (VBZ checks) (NP (NP (DT the) (NN stomach)) (PP (IN of) (NP (DT a) (NN toddler))))) (. .))),The toddler is getting a checkup.,( ( The toddler ) ( ( is ( getting ( a checkup ) ) ) . ) ),(ROOT (S (NP (DT The) (NN toddler)) (VP (VBZ is) (VP (VBG getting) (NP (DT a) (NN checkup)))) (. .))) +445,['contradiction'],430543100.jpg#4,contradiction,430543100.jpg#4r1c,A doctor checks the stomach of a toddler.,( ( A doctor ) ( ( checks ( ( the stomach ) ( of ( a toddler ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN doctor)) (VP (VBZ checks) (NP (NP (DT the) (NN stomach)) (PP (IN of) (NP (DT a) (NN toddler))))) (. .))),The doctor is looking inside the toddler's mouth.,( ( The doctor ) ( ( is ( looking ( inside ( ( the ( toddler 's ) ) mouth ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN doctor)) (VP (VBZ is) (VP (VBG looking) (PP (IN inside) (NP (NP (DT the) (NN toddler) (POS 's)) (NN mouth))))) (. .))) +446,['neutral'],430543100.jpg#4,neutral,430543100.jpg#4r1n,A doctor checks the stomach of a toddler.,( ( A doctor ) ( ( checks ( ( the stomach ) ( of ( a toddler ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN doctor)) (VP (VBZ checks) (NP (NP (DT the) (NN stomach)) (PP (IN of) (NP (DT a) (NN toddler))))) (. .))),The toddle might be sick.,( ( The toddle ) ( ( might ( be sick ) ) . ) ),(ROOT (S (NP (DT The) (NN toddle)) (VP (MD might) (VP (VB be) (ADJP (JJ sick)))) (. .))) +447,['neutral'],856985136.jpg#2,neutral,856985136.jpg#2r1n,Young blond woman putting her foot into a water fountain,( ( Young blond ) ( woman ( ( putting ( her foot ) ) ( into ( a ( water fountain ) ) ) ) ) ),(ROOT (S (NP (NNP Young) (NNP blond)) (VP (NN woman) (S (VP (VBG putting) (NP (PRP$ her) (NN foot)) (PP (IN into) (NP (DT a) (NN water) (NN fountain)))))))),"A young woman wearing an evening gown, and holding her shoes in her hands, is dipping one foot into Buckingham Fountain in Chicago.","( ( ( A ( young woman ) ) ( ( ( ( wearing ( an ( evening gown ) ) ) , ) and ) ( ( holding ( her shoes ) ) ( in ( her hands ) ) ) ) ) ( , ( ( is ( ( dipping ( one foot ) ) ( into ( ( Buckingham Fountain ) ( in Chicago ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (DT A) (JJ young) (NN woman)) (VP (VP (VBG wearing) (NP (DT an) (NN evening) (NN gown))) (, ,) (CC and) (VP (VBG holding) (NP (PRP$ her) (NNS shoes)) (PP (IN in) (NP (PRP$ her) (NNS hands)))))) (, ,) (VP (VBZ is) (VP (VBG dipping) (NP (CD one) (NN foot)) (PP (IN into) (NP (NP (NNP Buckingham) (NNP Fountain)) (PP (IN in) (NP (NNP Chicago))))))) (. .)))" +448,['contradiction'],856985136.jpg#2,contradiction,856985136.jpg#2r1c,Young blond woman putting her foot into a water fountain,( ( Young blond ) ( woman ( ( putting ( her foot ) ) ( into ( a ( water fountain ) ) ) ) ) ),(ROOT (S (NP (NNP Young) (NNP blond)) (VP (NN woman) (S (VP (VBG putting) (NP (PRP$ her) (NN foot)) (PP (IN into) (NP (DT a) (NN water) (NN fountain)))))))),A young blond woman is sitting down on a beach chair.,( ( A ( young ( blond woman ) ) ) ( ( is ( ( sitting down ) ( on ( a ( beach chair ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (JJ blond) (NN woman)) (VP (VBZ is) (VP (VBG sitting) (PRT (RP down)) (PP (IN on) (NP (DT a) (NN beach) (NN chair))))) (. .))) +449,['entailment'],856985136.jpg#2,entailment,856985136.jpg#2r1e,Young blond woman putting her foot into a water fountain,( ( Young blond ) ( woman ( ( putting ( her foot ) ) ( into ( a ( water fountain ) ) ) ) ) ),(ROOT (S (NP (NNP Young) (NNP blond)) (VP (NN woman) (S (VP (VBG putting) (NP (PRP$ her) (NN foot)) (PP (IN into) (NP (DT a) (NN water) (NN fountain)))))))),A person is dipping her foot into water.,( ( A person ) ( ( is ( ( dipping ( her foot ) ) ( into water ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG dipping) (NP (PRP$ her) (NN foot)) (PP (IN into) (NP (NN water))))) (. .))) +450,['contradiction'],856985136.jpg#3,contradiction,856985136.jpg#3r1c,A young woman tries to stick her foot in a fountain.,( ( A ( young woman ) ) ( ( tries ( to ( ( stick ( her foot ) ) ( in ( a fountain ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN woman)) (VP (VBZ tries) (S (VP (TO to) (VP (VB stick) (NP (PRP$ her) (NN foot)) (PP (IN in) (NP (DT a) (NN fountain))))))) (. .))),The woman is riding a train.,( ( The woman ) ( ( is ( riding ( a train ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG riding) (NP (DT a) (NN train)))) (. .))) +451,['entailment'],856985136.jpg#3,entailment,856985136.jpg#3r1e,A young woman tries to stick her foot in a fountain.,( ( A ( young woman ) ) ( ( tries ( to ( ( stick ( her foot ) ) ( in ( a fountain ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN woman)) (VP (VBZ tries) (S (VP (TO to) (VP (VB stick) (NP (PRP$ her) (NN foot)) (PP (IN in) (NP (DT a) (NN fountain))))))) (. .))),A woman is near a fountain.,( ( A woman ) ( ( is ( near ( a fountain ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (PP (IN near) (NP (DT a) (NN fountain)))) (. .))) +452,"['neutral', 'entailment', 'neutral', 'entailment', 'entailment']",856985136.jpg#3,entailment,856985136.jpg#3r1n,A young woman tries to stick her foot in a fountain.,( ( A ( young woman ) ) ( ( tries ( to ( ( stick ( her foot ) ) ( in ( a fountain ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN woman)) (VP (VBZ tries) (S (VP (TO to) (VP (VB stick) (NP (PRP$ her) (NN foot)) (PP (IN in) (NP (DT a) (NN fountain))))))) (. .))),The woman has one foot in the air.,( ( The woman ) ( ( has ( ( one foot ) ( in ( the air ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ has) (NP (NP (CD one) (NN foot)) (PP (IN in) (NP (DT the) (NN air))))) (. .))) +453,['contradiction'],856985136.jpg#0,contradiction,856985136.jpg#0r1c,A woman in capri jeans crouches on the edge of a fountain with her left foot kicked out to touch the falling water.,( ( ( A woman ) ( in ( ( capri ( jeans crouches ) ) ( on ( ( the edge ) ( of ( ( a fountain ) ( with ( her ( left foot ) ) ) ) ) ) ) ) ) ) ( ( ( kicked out ) ( to ( touch ( the ( falling water ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (FW capri) (FW jeans) (NNS crouches)) (PP (IN on) (NP (NP (DT the) (NN edge)) (PP (IN of) (NP (NP (DT a) (NN fountain)) (PP (IN with) (NP (PRP$ her) (JJ left) (NN foot)))))))))) (VP (VBD kicked) (PRT (RP out)) (S (VP (TO to) (VP (VB touch) (NP (DT the) (VBG falling) (NN water)))))) (. .))),A woman is walking in park,( ( A woman ) ( is ( walking ( in park ) ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG walking) (PP (IN in) (NP (NN park))))))) +454,['neutral'],856985136.jpg#0,neutral,856985136.jpg#0r1n,A woman in capri jeans crouches on the edge of a fountain with her left foot kicked out to touch the falling water.,( ( ( A woman ) ( in ( ( capri ( jeans crouches ) ) ( on ( ( the edge ) ( of ( ( a fountain ) ( with ( her ( left foot ) ) ) ) ) ) ) ) ) ) ( ( ( kicked out ) ( to ( touch ( the ( falling water ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (FW capri) (FW jeans) (NNS crouches)) (PP (IN on) (NP (NP (DT the) (NN edge)) (PP (IN of) (NP (NP (DT a) (NN fountain)) (PP (IN with) (NP (PRP$ her) (JJ left) (NN foot)))))))))) (VP (VBD kicked) (PRT (RP out)) (S (VP (TO to) (VP (VB touch) (NP (DT the) (VBG falling) (NN water)))))) (. .))),A woman is very eager to touch the water,( ( A woman ) ( ( is ( very eager ) ) ( to ( touch ( the water ) ) ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (ADJP (RB very) (JJ eager)) (S (VP (TO to) (VP (VB touch) (NP (DT the) (NN water)))))))) +455,['entailment'],856985136.jpg#0,entailment,856985136.jpg#0r1e,A woman in capri jeans crouches on the edge of a fountain with her left foot kicked out to touch the falling water.,( ( ( A woman ) ( in ( ( capri ( jeans crouches ) ) ( on ( ( the edge ) ( of ( ( a fountain ) ( with ( her ( left foot ) ) ) ) ) ) ) ) ) ) ( ( ( kicked out ) ( to ( touch ( the ( falling water ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (FW capri) (FW jeans) (NNS crouches)) (PP (IN on) (NP (NP (DT the) (NN edge)) (PP (IN of) (NP (NP (DT a) (NN fountain)) (PP (IN with) (NP (PRP$ her) (JJ left) (NN foot)))))))))) (VP (VBD kicked) (PRT (RP out)) (S (VP (TO to) (VP (VB touch) (NP (DT the) (VBG falling) (NN water)))))) (. .))),A woman is like to touch the water in fountain,( ( A woman ) ( is ( like ( to ( touch ( ( the water ) ( in fountain ) ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (ADJP (JJ like) (S (VP (TO to) (VP (VB touch) (NP (NP (DT the) (NN water)) (PP (IN in) (NP (NN fountain))))))))))) +456,['entailment'],856985136.jpg#1,entailment,856985136.jpg#1r1e,Woman balancing on edge of fountain while sticking her toe in the water.,( Woman ( ( ( balancing ( on ( edge ( of fountain ) ) ) ) ( while ( ( sticking ( her toe ) ) ( in ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Woman)) (VP (VBD balancing) (PP (IN on) (NP (NP (NN edge)) (PP (IN of) (NP (NN fountain))))) (SBAR (IN while) (S (VP (VBG sticking) (NP (PRP$ her) (NN toe)) (PP (IN in) (NP (DT the) (NN water))))))) (. .))),A woman stand on a fountain and dips her toes in.,( ( A woman ) ( ( ( ( stand ( on ( a fountain ) ) ) and ) ( ( dips ( her toes ) ) in ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VP (VBP stand) (PP (IN on) (NP (DT a) (NN fountain)))) (CC and) (VP (VBD dips) (NP (PRP$ her) (NNS toes)) (PRT (RP in)))) (. .))) +457,['contradiction'],856985136.jpg#1,contradiction,856985136.jpg#1r1c,Woman balancing on edge of fountain while sticking her toe in the water.,( Woman ( ( ( balancing ( on ( edge ( of fountain ) ) ) ) ( while ( ( sticking ( her toe ) ) ( in ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Woman)) (VP (VBD balancing) (PP (IN on) (NP (NP (NN edge)) (PP (IN of) (NP (NN fountain))))) (SBAR (IN while) (S (VP (VBG sticking) (NP (PRP$ her) (NN toe)) (PP (IN in) (NP (DT the) (NN water))))))) (. .))),A woman sits on the grassy ground.,( ( A woman ) ( ( sits ( on ( the ( grassy ground ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ sits) (PP (IN on) (NP (DT the) (JJ grassy) (NN ground)))) (. .))) +458,['neutral'],856985136.jpg#1,neutral,856985136.jpg#1r1n,Woman balancing on edge of fountain while sticking her toe in the water.,( Woman ( ( ( balancing ( on ( edge ( of fountain ) ) ) ) ( while ( ( sticking ( her toe ) ) ( in ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Woman)) (VP (VBD balancing) (PP (IN on) (NP (NP (NN edge)) (PP (IN of) (NP (NN fountain))))) (SBAR (IN while) (S (VP (VBG sticking) (NP (PRP$ her) (NN toe)) (PP (IN in) (NP (DT the) (NN water))))))) (. .))),An old woman stands on a fountain and sticks her toes in.,( ( An ( old woman ) ) ( ( ( ( stands ( on ( a fountain ) ) ) and ) ( ( sticks ( her toes ) ) in ) ) . ) ),(ROOT (S (NP (DT An) (JJ old) (NN woman)) (VP (VP (VBZ stands) (PP (IN on) (NP (DT a) (NN fountain)))) (CC and) (VP (VBZ sticks) (NP (PRP$ her) (NNS toes)) (PP (IN in)))) (. .))) +459,['entailment'],3572548523.jpg#2,entailment,3572548523.jpg#2r1e,A couple strolls arm and arm and hand in hand down a city sidewalk.,( ( A couple ) ( ( ( strolls ( ( arm ( and ( ( arm and ) hand ) ) ) ( in hand ) ) ) ( down ( a ( city sidewalk ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ strolls) (NP (NP (NN arm) (CC and) (NN arm) (CC and) (NN hand)) (PP (IN in) (NP (NN hand)))) (PP (IN down) (NP (DT a) (NN city) (NN sidewalk)))) (. .))),The couple is outdoors.,( ( The couple ) ( ( is outdoors ) . ) ),(ROOT (S (NP (DT The) (NN couple)) (VP (VBZ is) (ADVP (RB outdoors))) (. .))) +460,['neutral'],3572548523.jpg#2,neutral,3572548523.jpg#2r1n,A couple strolls arm and arm and hand in hand down a city sidewalk.,( ( A couple ) ( ( ( strolls ( ( arm ( and ( ( arm and ) hand ) ) ) ( in hand ) ) ) ( down ( a ( city sidewalk ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ strolls) (NP (NP (NN arm) (CC and) (NN arm) (CC and) (NN hand)) (PP (IN in) (NP (NN hand)))) (PP (IN down) (NP (DT a) (NN city) (NN sidewalk)))) (. .))),The couple is married.,( ( The couple ) ( ( is married ) . ) ),(ROOT (S (NP (DT The) (NN couple)) (VP (VBZ is) (VP (VBN married))) (. .))) +461,"['contradiction', 'contradiction', 'neutral', 'contradiction', 'neutral']",3572548523.jpg#2,contradiction,3572548523.jpg#2r1c,A couple strolls arm and arm and hand in hand down a city sidewalk.,( ( A couple ) ( ( ( strolls ( ( arm ( and ( ( arm and ) hand ) ) ) ( in hand ) ) ) ( down ( a ( city sidewalk ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ strolls) (NP (NP (NN arm) (CC and) (NN arm) (CC and) (NN hand)) (PP (IN in) (NP (NN hand)))) (PP (IN down) (NP (DT a) (NN city) (NN sidewalk)))) (. .))),The couple is having dinner at a restaurant.,( ( The couple ) ( ( is ( having ( dinner ( at ( a restaurant ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN couple)) (VP (VBZ is) (VP (VBG having) (NP (NP (NN dinner)) (PP (IN at) (NP (DT a) (NN restaurant)))))) (. .))) +462,['entailment'],3572548523.jpg#3,entailment,3572548523.jpg#3r1e,A man stare at a passing couple while walking down the block.,( ( A man ) ( ( stare ( at ( ( a ( passing ( couple while ) ) ) ( ( walking down ) ( the block ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VB stare) (PP (IN at) (NP (NP (DT a) (VBG passing) (NN couple) (NN while)) (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN block)))))) (. .))),A man stares at a passing couple.,( ( A man ) ( ( stares ( at ( a ( passing couple ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBD stares) (PP (IN at) (NP (DT a) (VBG passing) (NN couple)))) (. .))) +463,"['neutral', 'neutral', 'neutral', 'neutral']",3572548523.jpg#3,neutral,3572548523.jpg#3r1n,A man stare at a passing couple while walking down the block.,( ( A man ) ( ( stare ( at ( ( a ( passing ( couple while ) ) ) ( ( walking down ) ( the block ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VB stare) (PP (IN at) (NP (NP (DT a) (VBG passing) (NN couple) (NN while)) (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN block)))))) (. .))),The man is jealous of the couple.,( ( The man ) ( ( is ( jealous ( of ( the couple ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (ADJP (JJ jealous) (PP (IN of) (NP (DT the) (NN couple))))) (. .))) +464,['contradiction'],3572548523.jpg#3,contradiction,3572548523.jpg#3r1c,A man stare at a passing couple while walking down the block.,( ( A man ) ( ( stare ( at ( ( a ( passing ( couple while ) ) ) ( ( walking down ) ( the block ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VB stare) (PP (IN at) (NP (NP (DT a) (VBG passing) (NN couple) (NN while)) (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN block)))))) (. .))),The woman stares at a couple as they argue down the block.,( ( The woman ) ( ( ( stares ( at ( a couple ) ) ) ( as ( they ( ( argue down ) ( the block ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBD stares) (PP (IN at) (NP (DT a) (NN couple))) (SBAR (IN as) (S (NP (PRP they)) (VP (VBP argue) (PRT (RP down)) (NP (DT the) (NN block)))))) (. .))) +465,['neutral'],3572548523.jpg#0,neutral,3572548523.jpg#0r1n,"a couple are holding hands behind their backs while walking down a street, and the man has his arm around her shoulder.","( ( ( ( ( ( a couple ) ( are ( ( holding ( hands ( behind ( their backs ) ) ) ) ( while ( ( walking down ) ( a street ) ) ) ) ) ) , ) and ) ( ( the man ) ( ( has ( his arm ) ) ( around ( her shoulder ) ) ) ) ) . )","(ROOT (S (S (NP (DT a) (NN couple)) (VP (VBP are) (VP (VBG holding) (NP (NP (NNS hands)) (PP (IN behind) (NP (PRP$ their) (NNS backs)))) (PP (IN while) (S (VP (VBG walking) (PRT (RP down)) (NP (DT a) (NN street)))))))) (, ,) (CC and) (S (NP (DT the) (NN man)) (VP (VBZ has) (NP (PRP$ his) (NN arm)) (PP (IN around) (NP (PRP$ her) (NN shoulder))))) (. .)))",couple walking home,( ( couple walking ) home ),(ROOT (FRAG (NP (NP (NN couple) (NN walking)) (ADVP (NN home))))) +466,['entailment'],3572548523.jpg#0,entailment,3572548523.jpg#0r1e,"a couple are holding hands behind their backs while walking down a street, and the man has his arm around her shoulder.","( ( ( ( ( ( a couple ) ( are ( ( holding ( hands ( behind ( their backs ) ) ) ) ( while ( ( walking down ) ( a street ) ) ) ) ) ) , ) and ) ( ( the man ) ( ( has ( his arm ) ) ( around ( her shoulder ) ) ) ) ) . )","(ROOT (S (S (NP (DT a) (NN couple)) (VP (VBP are) (VP (VBG holding) (NP (NP (NNS hands)) (PP (IN behind) (NP (PRP$ their) (NNS backs)))) (PP (IN while) (S (VP (VBG walking) (PRT (RP down)) (NP (DT a) (NN street)))))))) (, ,) (CC and) (S (NP (DT the) (NN man)) (VP (VBZ has) (NP (PRP$ his) (NN arm)) (PP (IN around) (NP (PRP$ her) (NN shoulder))))) (. .)))",couple walking,( couple walking ),(ROOT (NP (NN couple) (NN walking))) +467,['contradiction'],3572548523.jpg#0,contradiction,3572548523.jpg#0r1c,"a couple are holding hands behind their backs while walking down a street, and the man has his arm around her shoulder.","( ( ( ( ( ( a couple ) ( are ( ( holding ( hands ( behind ( their backs ) ) ) ) ( while ( ( walking down ) ( a street ) ) ) ) ) ) , ) and ) ( ( the man ) ( ( has ( his arm ) ) ( around ( her shoulder ) ) ) ) ) . )","(ROOT (S (S (NP (DT a) (NN couple)) (VP (VBP are) (VP (VBG holding) (NP (NP (NNS hands)) (PP (IN behind) (NP (PRP$ their) (NNS backs)))) (PP (IN while) (S (VP (VBG walking) (PRT (RP down)) (NP (DT a) (NN street)))))))) (, ,) (CC and) (S (NP (DT the) (NN man)) (VP (VBZ has) (NP (PRP$ his) (NN arm)) (PP (IN around) (NP (PRP$ her) (NN shoulder))))) (. .)))",bear in zoo,( bear ( in zoo ) ),(ROOT (S (VP (VB bear) (PP (IN in) (NP (NN zoo)))))) +468,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",3572548523.jpg#1,contradiction,3572548523.jpg#1r1c,A man and a woman are holding hands as they walk along a city sidewalk.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( holding hands ) ( as ( they ( walk ( along ( a ( city sidewalk ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG holding) (NP (NNS hands)) (SBAR (IN as) (S (NP (PRP they)) (VP (VBP walk) (PP (IN along) (NP (DT a) (NN city) (NN sidewalk)))))))) (. .))),A married couple are fighting on the sidewalk.,( ( A ( married couple ) ) ( ( are ( fighting ( on ( the sidewalk ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ married) (NN couple)) (VP (VBP are) (VP (VBG fighting) (PP (IN on) (NP (DT the) (NN sidewalk))))) (. .))) +469,['neutral'],3572548523.jpg#1,neutral,3572548523.jpg#1r1n,A man and a woman are holding hands as they walk along a city sidewalk.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( holding hands ) ( as ( they ( walk ( along ( a ( city sidewalk ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG holding) (NP (NNS hands)) (SBAR (IN as) (S (NP (PRP they)) (VP (VBP walk) (PP (IN along) (NP (DT a) (NN city) (NN sidewalk)))))))) (. .))),A married couple are holding hands as they walk along the city sidewalk.,( ( A ( married couple ) ) ( ( are ( ( holding hands ) ( as ( they ( walk ( along ( the ( city sidewalk ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ married) (NN couple)) (VP (VBP are) (VP (VBG holding) (NP (NNS hands)) (SBAR (IN as) (S (NP (PRP they)) (VP (VBP walk) (PP (IN along) (NP (DT the) (NN city) (NN sidewalk)))))))) (. .))) +470,['entailment'],3572548523.jpg#1,entailment,3572548523.jpg#1r1e,A man and a woman are holding hands as they walk along a city sidewalk.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( holding hands ) ( as ( they ( walk ( along ( a ( city sidewalk ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG holding) (NP (NNS hands)) (SBAR (IN as) (S (NP (PRP they)) (VP (VBP walk) (PP (IN along) (NP (DT a) (NN city) (NN sidewalk)))))))) (. .))),A man and a woman are holding hands.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( holding hands ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG holding) (NP (NNS hands)))) (. .))) +471,['contradiction'],2946464027.jpg#2,contradiction,2946464027.jpg#2r1c,a man in red stands with his child at the beach.,( ( ( a man ) ( in red ) ) ( ( ( stands ( with ( his child ) ) ) ( at ( the beach ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN man)) (PP (IN in) (NP (NN red)))) (VP (VBZ stands) (PP (IN with) (NP (PRP$ his) (NN child))) (PP (IN at) (NP (DT the) (NN beach)))) (. .))),A man wearing blue sleeping with his child in his lap inside his home.,( ( ( A man ) ( ( wearing ( blue sleeping ) ) ( with ( ( his child ) ( in ( ( his lap ) ( inside ( his home ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (JJ blue) (NN sleeping)) (PP (IN with) (NP (NP (PRP$ his) (NN child)) (PP (IN in) (NP (NP (PRP$ his) (NN lap)) (PP (IN inside) (NP (PRP$ his) (NN home)))))))) (. .))) +472,"['entailment', 'entailment', 'neutral', 'neutral', 'neutral']",2946464027.jpg#2,neutral,2946464027.jpg#2r1e,a man in red stands with his child at the beach.,( ( ( a man ) ( in red ) ) ( ( ( stands ( with ( his child ) ) ) ( at ( the beach ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN man)) (PP (IN in) (NP (NN red)))) (VP (VBZ stands) (PP (IN with) (NP (PRP$ his) (NN child))) (PP (IN at) (NP (DT the) (NN beach)))) (. .))),A man wearing red standing with his child at a beach overlooking the ocean.,( ( ( A man ) ( ( wearing ( ( red standing ) ( with ( his child ) ) ) ) ( at ( ( a beach ) ( overlooking ( the ocean ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (NP (JJ red) (NN standing)) (PP (IN with) (NP (PRP$ his) (NN child)))) (PP (IN at) (NP (NP (DT a) (NN beach)) (VP (VBG overlooking) (NP (DT the) (NN ocean)))))) (. .))) +473,['neutral'],2946464027.jpg#2,neutral,2946464027.jpg#2r1n,a man in red stands with his child at the beach.,( ( ( a man ) ( in red ) ) ( ( ( stands ( with ( his child ) ) ) ( at ( the beach ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN man)) (PP (IN in) (NP (NN red)))) (VP (VBZ stands) (PP (IN with) (NP (PRP$ his) (NN child))) (PP (IN at) (NP (DT the) (NN beach)))) (. .))),A man wearing red standing with his child as they watch others build sand castles at the beach.,( ( ( A man ) ( ( ( wearing ( red standing ) ) ( with ( his child ) ) ) ( as ( they ( watch others ) ) ) ) ) ( ( ( build ( sand castles ) ) ( at ( the beach ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (JJ red) (NN standing)) (PP (IN with) (NP (PRP$ his) (NN child))) (SBAR (IN as) (S (NP (PRP they)) (VP (VBP watch) (NP (NNS others))))))) (VP (VBP build) (NP (NN sand) (NNS castles)) (PP (IN at) (NP (DT the) (NN beach)))) (. .))) +474,['entailment'],6822696890.jpg#2,entailment,6822696890.jpg#2r1e,New sport is being played to show appreciation to the kids who can not walk.,( ( New sport ) ( ( is ( being ( played ( to ( ( show appreciation ) ( to ( ( the kids ) ( who ( ( can not ) walk ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP New) (NN sport)) (VP (VBZ is) (VP (VBG being) (VP (VBN played) (S (VP (TO to) (VP (VB show) (NP (NN appreciation)) (PP (TO to) (NP (NP (DT the) (NNS kids)) (SBAR (WHNP (WP who)) (S (VP (MD can) (RB not) (VP (VB walk))))))))))))) (. .))),People are playing a sport in honor of crippled people.,( People ( ( are ( ( playing ( a sport ) ) ( in ( honor ( of ( crippled people ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG playing) (NP (DT a) (NN sport)) (PP (IN in) (NP (NP (NN honor)) (PP (IN of) (NP (JJ crippled) (NNS people))))))) (. .))) +475,['contradiction'],6822696890.jpg#2,contradiction,6822696890.jpg#2r1c,New sport is being played to show appreciation to the kids who can not walk.,( ( New sport ) ( ( is ( being ( played ( to ( ( show appreciation ) ( to ( ( the kids ) ( who ( ( can not ) walk ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP New) (NN sport)) (VP (VBZ is) (VP (VBG being) (VP (VBN played) (S (VP (TO to) (VP (VB show) (NP (NN appreciation)) (PP (TO to) (NP (NP (DT the) (NNS kids)) (SBAR (WHNP (WP who)) (S (VP (MD can) (RB not) (VP (VB walk))))))))))))) (. .))),People are playing football without gear.,( People ( ( are ( ( playing football ) ( without gear ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG playing) (NP (NN football)) (PP (IN without) (NP (NN gear))))) (. .))) +476,['neutral'],6822696890.jpg#2,neutral,6822696890.jpg#2r1n,New sport is being played to show appreciation to the kids who can not walk.,( ( New sport ) ( ( is ( being ( played ( to ( ( show appreciation ) ( to ( ( the kids ) ( who ( ( can not ) walk ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP New) (NN sport)) (VP (VBZ is) (VP (VBG being) (VP (VBN played) (S (VP (TO to) (VP (VB show) (NP (NN appreciation)) (PP (TO to) (NP (NP (DT the) (NNS kids)) (SBAR (WHNP (WP who)) (S (VP (MD can) (RB not) (VP (VB walk))))))))))))) (. .))),People a playing a sport to help fund a crippled people fund.,( ( People ( ( ( a playing ) ( a sport ) ) ( to help ) ) ) ( ( fund ( a ( crippled ( people fund ) ) ) ) . ) ),(ROOT (S (NP (NP (NNS People)) (SBAR (S (NP (NP (DT a) (NN playing)) (NP (DT a) (NN sport))) (VP (TO to) (VP (VB help)))))) (VP (VBP fund) (NP (DT a) (JJ crippled) (NNS people) (NN fund))) (. .))) +477,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",6822696890.jpg#3,neutral,6822696890.jpg#3r1n,Two men in wheelchairs are reaching in the air for a basketball.,( ( ( Two men ) ( in wheelchairs ) ) ( ( are ( reaching ( in ( ( the air ) ( for ( a basketball ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS men)) (PP (IN in) (NP (NNS wheelchairs)))) (VP (VBP are) (VP (VBG reaching) (PP (IN in) (NP (NP (DT the) (NN air)) (PP (IN for) (NP (DT a) (NN basketball))))))) (. .))),Two sad men in wheelchairs are reaching in the air for a basketball.,( ( ( Two ( sad men ) ) ( in wheelchairs ) ) ( ( are ( reaching ( in ( ( the air ) ( for ( a basketball ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (JJ sad) (NNS men)) (PP (IN in) (NP (NNS wheelchairs)))) (VP (VBP are) (VP (VBG reaching) (PP (IN in) (NP (NP (DT the) (NN air)) (PP (IN for) (NP (DT a) (NN basketball))))))) (. .))) +478,['entailment'],6822696890.jpg#3,entailment,6822696890.jpg#3r1e,Two men in wheelchairs are reaching in the air for a basketball.,( ( ( Two men ) ( in wheelchairs ) ) ( ( are ( reaching ( in ( ( the air ) ( for ( a basketball ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS men)) (PP (IN in) (NP (NNS wheelchairs)))) (VP (VBP are) (VP (VBG reaching) (PP (IN in) (NP (NP (DT the) (NN air)) (PP (IN for) (NP (DT a) (NN basketball))))))) (. .))),Two people in wheelchairs are reaching in the air for a basketball.,( ( ( Two people ) ( in wheelchairs ) ) ( ( are ( reaching ( in ( ( the air ) ( for ( a basketball ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS people)) (PP (IN in) (NP (NNS wheelchairs)))) (VP (VBP are) (VP (VBG reaching) (PP (IN in) (NP (NP (DT the) (NN air)) (PP (IN for) (NP (DT a) (NN basketball))))))) (. .))) +479,['contradiction'],6822696890.jpg#3,contradiction,6822696890.jpg#3r1c,Two men in wheelchairs are reaching in the air for a basketball.,( ( ( Two men ) ( in wheelchairs ) ) ( ( are ( reaching ( in ( ( the air ) ( for ( a basketball ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS men)) (PP (IN in) (NP (NNS wheelchairs)))) (VP (VBP are) (VP (VBG reaching) (PP (IN in) (NP (NP (DT the) (NN air)) (PP (IN for) (NP (DT a) (NN basketball))))))) (. .))),Two women in wheelchairs are reaching in the air for a basketball.,( ( ( Two women ) ( in wheelchairs ) ) ( ( are ( reaching ( in ( ( the air ) ( for ( a basketball ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS women)) (PP (IN in) (NP (NNS wheelchairs)))) (VP (VBP are) (VP (VBG reaching) (PP (IN in) (NP (NP (DT the) (NN air)) (PP (IN for) (NP (DT a) (NN basketball))))))) (. .))) +480,['neutral'],6822696890.jpg#0,neutral,6822696890.jpg#0r1n,Three wheelchair basketball players wearing team uniforms are attempting to reach the descending basketball with other players in the background.,( ( ( Three ( wheelchair ( basketball players ) ) ) ( wearing ( team uniforms ) ) ) ( ( are ( attempting ( to ( ( reach ( the ( descending basketball ) ) ) ( with ( ( other players ) ( in ( the background ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Three) (NN wheelchair) (NN basketball) (NNS players)) (VP (VBG wearing) (NP (NN team) (NNS uniforms)))) (VP (VBP are) (VP (VBG attempting) (S (VP (TO to) (VP (VB reach) (NP (DT the) (VBG descending) (NN basketball)) (PP (IN with) (NP (NP (JJ other) (NNS players)) (PP (IN in) (NP (DT the) (NN background)))))))))) (. .))),Some wheelchair basketball players playing the basketball match.,( ( ( Some ( wheelchair ( basketball players ) ) ) ( playing ( the basketball ) ) ) ( match . ) ),(ROOT (S (NP (NP (DT Some) (NN wheelchair) (NN basketball) (NNS players)) (VP (VBG playing) (NP (DT the) (NN basketball)))) (VP (VBP match)) (. .))) +481,['entailment'],6822696890.jpg#0,entailment,6822696890.jpg#0r1e,Three wheelchair basketball players wearing team uniforms are attempting to reach the descending basketball with other players in the background.,( ( ( Three ( wheelchair ( basketball players ) ) ) ( wearing ( team uniforms ) ) ) ( ( are ( attempting ( to ( ( reach ( the ( descending basketball ) ) ) ( with ( ( other players ) ( in ( the background ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Three) (NN wheelchair) (NN basketball) (NNS players)) (VP (VBG wearing) (NP (NN team) (NNS uniforms)))) (VP (VBP are) (VP (VBG attempting) (S (VP (TO to) (VP (VB reach) (NP (DT the) (VBG descending) (NN basketball)) (PP (IN with) (NP (NP (JJ other) (NNS players)) (PP (IN in) (NP (DT the) (NN background)))))))))) (. .))),Three wheelchair basketball players playing basketball in field.,( ( ( Three ( wheelchair ( basketball players ) ) ) ( ( playing basketball ) ( in field ) ) ) . ),(ROOT (NP (NP (CD Three) (NN wheelchair) (NN basketball) (NNS players)) (VP (VBG playing) (NP (NN basketball)) (PP (IN in) (NP (NN field)))) (. .))) +482,['contradiction'],6822696890.jpg#0,contradiction,6822696890.jpg#0r1c,Three wheelchair basketball players wearing team uniforms are attempting to reach the descending basketball with other players in the background.,( ( ( Three ( wheelchair ( basketball players ) ) ) ( wearing ( team uniforms ) ) ) ( ( are ( attempting ( to ( ( reach ( the ( descending basketball ) ) ) ( with ( ( other players ) ( in ( the background ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Three) (NN wheelchair) (NN basketball) (NNS players)) (VP (VBG wearing) (NP (NN team) (NNS uniforms)))) (VP (VBP are) (VP (VBG attempting) (S (VP (TO to) (VP (VB reach) (NP (DT the) (VBG descending) (NN basketball)) (PP (IN with) (NP (NP (JJ other) (NNS players)) (PP (IN in) (NP (DT the) (NN background)))))))))) (. .))),A peoples are taking coffee together at coffeshop.,( ( A peoples ) ( ( are ( ( ( taking coffee ) together ) ( at coffeshop ) ) ) . ) ),(ROOT (S (NP (DT A) (NNS peoples)) (VP (VBP are) (VP (VBG taking) (NP (NN coffee)) (ADVP (RB together)) (PP (IN at) (NP (NN coffeshop))))) (. .))) +483,['contradiction'],6822696890.jpg#1,contradiction,6822696890.jpg#1r1c,Four guys in wheelchairs on a basketball court two are trying to grab a basketball in midair.,( ( ( Four guys ) ( in ( wheelchairs ( on ( ( a ( basketball court ) ) two ) ) ) ) ) ( ( are ( trying ( to ( grab ( ( a basketball ) ( in midair ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Four) (NNS guys)) (PP (IN in) (NP (NP (NNS wheelchairs)) (PP (IN on) (NP (NP (DT a) (NN basketball) (NN court)) (NP (CD two))))))) (VP (VBP are) (VP (VBG trying) (S (VP (TO to) (VP (VB grab) (NP (NP (DT a) (NN basketball)) (PP (IN in) (NP (NN midair))))))))) (. .))),Four guys are playing cards.,( ( Four guys ) ( ( are ( playing cards ) ) . ) ),(ROOT (S (NP (CD Four) (NNS guys)) (VP (VBP are) (VP (VBG playing) (NP (NNS cards)))) (. .))) +484,['entailment'],6822696890.jpg#1,entailment,6822696890.jpg#1r1e,Four guys in wheelchairs on a basketball court two are trying to grab a basketball in midair.,( ( ( Four guys ) ( in ( wheelchairs ( on ( ( a ( basketball court ) ) two ) ) ) ) ) ( ( are ( trying ( to ( grab ( ( a basketball ) ( in midair ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Four) (NNS guys)) (PP (IN in) (NP (NP (NNS wheelchairs)) (PP (IN on) (NP (NP (DT a) (NN basketball) (NN court)) (NP (CD two))))))) (VP (VBP are) (VP (VBG trying) (S (VP (TO to) (VP (VB grab) (NP (NP (DT a) (NN basketball)) (PP (IN in) (NP (NN midair))))))))) (. .))),Four guys are playing basketball.,( ( Four guys ) ( ( are ( playing basketball ) ) . ) ),(ROOT (S (NP (CD Four) (NNS guys)) (VP (VBP are) (VP (VBG playing) (NP (NN basketball)))) (. .))) +485,['neutral'],6822696890.jpg#1,neutral,6822696890.jpg#1r1n,Four guys in wheelchairs on a basketball court two are trying to grab a basketball in midair.,( ( ( Four guys ) ( in ( wheelchairs ( on ( ( a ( basketball court ) ) two ) ) ) ) ) ( ( are ( trying ( to ( grab ( ( a basketball ) ( in midair ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Four) (NNS guys)) (PP (IN in) (NP (NP (NNS wheelchairs)) (PP (IN on) (NP (NP (DT a) (NN basketball) (NN court)) (NP (CD two))))))) (VP (VBP are) (VP (VBG trying) (S (VP (TO to) (VP (VB grab) (NP (NP (DT a) (NN basketball)) (PP (IN in) (NP (NN midair))))))))) (. .))),The four players are handicapped.,( ( The ( four players ) ) ( ( are handicapped ) . ) ),(ROOT (S (NP (DT The) (CD four) (NNS players)) (VP (VBP are) (NP (NNS handicapped))) (. .))) +486,['contradiction'],411216802.jpg#0,contradiction,411216802.jpg#0r1c,Three dogs in different shades of brown and white biting and licking each other.,( ( ( ( Three dogs ) ( in ( ( different shades ) ( of ( ( brown and ) white ) ) ) ) ) ( ( ( biting and ) licking ) ( each other ) ) ) . ),(ROOT (NP (NP (NP (CD Three) (NNS dogs)) (PP (IN in) (NP (NP (JJ different) (NNS shades)) (PP (IN of) (NP (JJ brown) (CC and) (JJ white)))))) (VP (VBG biting) (CC and) (VBG licking) (NP (DT each) (JJ other))) (. .))),the dogs are fighting,( ( the dogs ) ( are fighting ) ),(ROOT (S (NP (DT the) (NNS dogs)) (VP (VBP are) (VP (VBG fighting))))) +487,['entailment'],411216802.jpg#0,entailment,411216802.jpg#0r1e,Three dogs in different shades of brown and white biting and licking each other.,( ( ( ( Three dogs ) ( in ( ( different shades ) ( of ( ( brown and ) white ) ) ) ) ) ( ( ( biting and ) licking ) ( each other ) ) ) . ),(ROOT (NP (NP (NP (CD Three) (NNS dogs)) (PP (IN in) (NP (NP (JJ different) (NNS shades)) (PP (IN of) (NP (JJ brown) (CC and) (JJ white)))))) (VP (VBG biting) (CC and) (VBG licking) (NP (DT each) (JJ other))) (. .))),there are three dogs,( there ( are ( three dogs ) ) ),(ROOT (S (NP (EX there)) (VP (VBP are) (NP (CD three) (NNS dogs))))) +488,['neutral'],411216802.jpg#0,neutral,411216802.jpg#0r1n,Three dogs in different shades of brown and white biting and licking each other.,( ( ( ( Three dogs ) ( in ( ( different shades ) ( of ( ( brown and ) white ) ) ) ) ) ( ( ( biting and ) licking ) ( each other ) ) ) . ),(ROOT (NP (NP (NP (CD Three) (NNS dogs)) (PP (IN in) (NP (NP (JJ different) (NNS shades)) (PP (IN of) (NP (JJ brown) (CC and) (JJ white)))))) (VP (VBG biting) (CC and) (VBG licking) (NP (DT each) (JJ other))) (. .))),the dog playing,( the ( dog playing ) ),(ROOT (NP (DT the) (NN dog) (NN playing))) +489,['neutral'],411216802.jpg#1,neutral,411216802.jpg#1r1n,"Two dogs playfully bite a third dog, which has its tongue sticking out.","( ( ( Two dogs ) playfully ) ( ( bite ( ( ( a ( third dog ) ) , ) ( which ( has ( ( its tongue ) ( sticking out ) ) ) ) ) ) . ) )","(ROOT (S (ADVP (NP (CD Two) (NNS dogs)) (RB playfully)) (VP (VB bite) (NP (NP (DT a) (JJ third) (NN dog)) (, ,) (SBAR (WHNP (WDT which)) (S (VP (VBZ has) (NP (NP (PRP$ its) (NN tongue)) (VP (VBG sticking) (PRT (RP out))))))))) (. .)))","Two puppies bite their mother, while she pants.","( ( Two puppies ) ( ( ( ( bite ( their mother ) ) , ) ( while ( she pants ) ) ) . ) )","(ROOT (S (NP (CD Two) (NNS puppies)) (VP (VB bite) (NP (PRP$ their) (NN mother)) (, ,) (SBAR (IN while) (S (NP (PRP she)) (VP (VBD pants))))) (. .)))" +490,['contradiction'],411216802.jpg#1,contradiction,411216802.jpg#1r1c,"Two dogs playfully bite a third dog, which has its tongue sticking out.","( ( ( Two dogs ) playfully ) ( ( bite ( ( ( a ( third dog ) ) , ) ( which ( has ( ( its tongue ) ( sticking out ) ) ) ) ) ) . ) )","(ROOT (S (ADVP (NP (CD Two) (NNS dogs)) (RB playfully)) (VP (VB bite) (NP (NP (DT a) (JJ third) (NN dog)) (, ,) (SBAR (WHNP (WDT which)) (S (VP (VBZ has) (NP (NP (PRP$ its) (NN tongue)) (VP (VBG sticking) (PRT (RP out))))))))) (. .)))",Two dogs are sleeping while a third eats its food.,( ( Two dogs ) ( ( are ( sleeping ( while ( ( a third ) ( eats ( its food ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS dogs)) (VP (VBP are) (VP (VBG sleeping) (SBAR (IN while) (S (NP (DT a) (JJ third)) (VP (VBZ eats) (NP (PRP$ its) (NN food))))))) (. .))) +491,['entailment'],411216802.jpg#1,entailment,411216802.jpg#1r1e,"Two dogs playfully bite a third dog, which has its tongue sticking out.","( ( ( Two dogs ) playfully ) ( ( bite ( ( ( a ( third dog ) ) , ) ( which ( has ( ( its tongue ) ( sticking out ) ) ) ) ) ) . ) )","(ROOT (S (ADVP (NP (CD Two) (NNS dogs)) (RB playfully)) (VP (VB bite) (NP (NP (DT a) (JJ third) (NN dog)) (, ,) (SBAR (WHNP (WDT which)) (S (VP (VBZ has) (NP (NP (PRP$ its) (NN tongue)) (VP (VBG sticking) (PRT (RP out))))))))) (. .)))",A pair of dogs tease a third with nibbles.,( ( ( A pair ) ( of dogs ) ) ( ( ( tease ( a third ) ) ( with nibbles ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN pair)) (PP (IN of) (NP (NNS dogs)))) (VP (VBD tease) (NP (DT a) (JJ third)) (PP (IN with) (NP (NNS nibbles)))) (. .))) +492,['contradiction'],411216802.jpg#2,contradiction,411216802.jpg#2r1c,Three small puppies bite and play together in the grass.,( ( Three ( small puppies ) ) ( ( ( bite and ) ( ( play together ) ( in ( the grass ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (JJ small) (NNS puppies)) (VP (VP (VB bite)) (CC and) (VP (VB play) (ADVP (RB together)) (PP (IN in) (NP (DT the) (NN grass))))) (. .))),The puppies are sleeping in a basket.,( ( The puppies ) ( ( are ( sleeping ( in ( a basket ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS puppies)) (VP (VBP are) (VP (VBG sleeping) (PP (IN in) (NP (DT a) (NN basket))))) (. .))) +493,['neutral'],411216802.jpg#2,neutral,411216802.jpg#2r1n,Three small puppies bite and play together in the grass.,( ( Three ( small puppies ) ) ( ( ( bite and ) ( ( play together ) ( in ( the grass ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (JJ small) (NNS puppies)) (VP (VP (VB bite)) (CC and) (VP (VB play) (ADVP (RB together)) (PP (IN in) (NP (DT the) (NN grass))))) (. .))),They are playing at the dog park.,( They ( ( are ( playing ( at ( the ( dog park ) ) ) ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (VBG playing) (PP (IN at) (NP (DT the) (NN dog) (NN park))))) (. .))) +494,['entailment'],411216802.jpg#2,entailment,411216802.jpg#2r1e,Three small puppies bite and play together in the grass.,( ( Three ( small puppies ) ) ( ( ( bite and ) ( ( play together ) ( in ( the grass ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (JJ small) (NNS puppies)) (VP (VP (VB bite)) (CC and) (VP (VB play) (ADVP (RB together)) (PP (IN in) (NP (DT the) (NN grass))))) (. .))),Three puppies are playing outside.,( ( Three puppies ) ( ( are ( playing outside ) ) . ) ),(ROOT (S (NP (CD Three) (NNS puppies)) (VP (VBP are) (VP (VBG playing) (ADVP (RB outside)))) (. .))) +495,['neutral'],411216802.jpg#3,neutral,411216802.jpg#3r1n,Two dogs biting another dog in a field.,( ( ( Two dogs ) ( biting ( ( another dog ) ( in ( a field ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS dogs)) (VP (VBG biting) (NP (NP (DT another) (NN dog)) (PP (IN in) (NP (DT a) (NN field))))) (. .))),dogs bitting,( dogs bitting ),(ROOT (S (NP (NNS dogs)) (VP (VBD bitting)))) +496,['entailment'],411216802.jpg#3,entailment,411216802.jpg#3r1e,Two dogs biting another dog in a field.,( ( ( Two dogs ) ( biting ( ( another dog ) ( in ( a field ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS dogs)) (VP (VBG biting) (NP (NP (DT another) (NN dog)) (PP (IN in) (NP (DT a) (NN field))))) (. .))),dogs attacking another dog,( dogs ( attacking ( another dog ) ) ),(ROOT (NP (S (NP (NNS dogs)) (VP (VBG attacking) (NP (DT another) (NN dog)))))) +497,['contradiction'],411216802.jpg#3,contradiction,411216802.jpg#3r1c,Two dogs biting another dog in a field.,( ( ( Two dogs ) ( biting ( ( another dog ) ( in ( a field ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS dogs)) (VP (VBG biting) (NP (NP (DT another) (NN dog)) (PP (IN in) (NP (DT a) (NN field))))) (. .))),dog sitting in filed,( ( dog ( sitting in ) ) filed ),(ROOT (S (NP (NP (NN dog)) (VP (VBG sitting) (PRT (RP in)))) (VP (VBD filed)))) +498,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",4934873039.jpg#4,contradiction,4934873039.jpg#4r1c,Tourists waiting at a train stop.,( ( Tourists ( waiting ( at ( a ( train stop ) ) ) ) ) . ),(ROOT (NP (NP (NNS Tourists)) (VP (VBG waiting) (PP (IN at) (NP (DT a) (NN train) (NN stop)))) (. .))),Tourist walking around an art museum.,( ( Tourist ( walking ( around ( an ( art museum ) ) ) ) ) . ),(ROOT (NP (NP (NNP Tourist)) (VP (VBG walking) (PP (IN around) (NP (DT an) (NN art) (NN museum)))) (. .))) +499,['neutral'],4934873039.jpg#4,neutral,4934873039.jpg#4r1n,Tourists waiting at a train stop.,( ( Tourists ( waiting ( at ( a ( train stop ) ) ) ) ) . ),(ROOT (NP (NP (NNS Tourists)) (VP (VBG waiting) (PP (IN at) (NP (DT a) (NN train) (NN stop)))) (. .))),A group of tourist waiting for a train outside.,( ( ( ( A group ) ( of tourist ) ) ( waiting ( for ( a ( train outside ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NN tourist)))) (VP (VBG waiting) (PP (IN for) (NP (DT a) (NN train) (NN outside)))) (. .))) +500,['entailment'],4934873039.jpg#4,entailment,4934873039.jpg#4r1e,Tourists waiting at a train stop.,( ( Tourists ( waiting ( at ( a ( train stop ) ) ) ) ) . ),(ROOT (NP (NP (NNS Tourists)) (VP (VBG waiting) (PP (IN at) (NP (DT a) (NN train) (NN stop)))) (. .))),A group of tourist waiting for a train at a train station.,( ( ( ( A group ) ( of tourist ) ) ( waiting ( for ( ( a train ) ( at ( a ( train station ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NN tourist)))) (VP (VBG waiting) (PP (IN for) (NP (NP (DT a) (NN train)) (PP (IN at) (NP (DT a) (NN train) (NN station)))))) (. .))) +501,['entailment'],4476454760.jpg#0,entailment,4476454760.jpg#0r1e,A doctor in blue scrubs is performing an operation assisted by two men and a woman.,( ( ( A doctor ) ( in ( blue scrubs ) ) ) ( ( is ( performing ( ( an operation ) ( assisted ( by ( ( ( two men ) and ) ( a woman ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN doctor)) (PP (IN in) (NP (JJ blue) (NNS scrubs)))) (VP (VBZ is) (VP (VBG performing) (NP (NP (DT an) (NN operation)) (VP (VBN assisted) (PP (IN by) (NP (NP (CD two) (NNS men)) (CC and) (NP (DT a) (NN woman)))))))) (. .))),a old man was talking,( ( a ( old man ) ) ( was talking ) ),(ROOT (S (NP (DT a) (JJ old) (NN man)) (VP (VBD was) (VP (VBG talking))))) +502,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",4476454760.jpg#0,contradiction,4476454760.jpg#0r1c,A doctor in blue scrubs is performing an operation assisted by two men and a woman.,( ( ( A doctor ) ( in ( blue scrubs ) ) ) ( ( is ( performing ( ( an operation ) ( assisted ( by ( ( ( two men ) and ) ( a woman ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN doctor)) (PP (IN in) (NP (JJ blue) (NNS scrubs)))) (VP (VBZ is) (VP (VBG performing) (NP (NP (DT an) (NN operation)) (VP (VBN assisted) (PP (IN by) (NP (NP (CD two) (NNS men)) (CC and) (NP (DT a) (NN woman)))))))) (. .))),the boys were angry,( ( the boys ) ( were angry ) ),(ROOT (S (NP (DT the) (NNS boys)) (VP (VBD were) (ADJP (JJ angry))))) +503,['neutral'],4476454760.jpg#0,neutral,4476454760.jpg#0r1n,A doctor in blue scrubs is performing an operation assisted by two men and a woman.,( ( ( A doctor ) ( in ( blue scrubs ) ) ) ( ( is ( performing ( ( an operation ) ( assisted ( by ( ( ( two men ) and ) ( a woman ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN doctor)) (PP (IN in) (NP (JJ blue) (NNS scrubs)))) (VP (VBZ is) (VP (VBG performing) (NP (NP (DT an) (NN operation)) (VP (VBN assisted) (PP (IN by) (NP (NP (CD two) (NNS men)) (CC and) (NP (DT a) (NN woman)))))))) (. .))),the child was happy,( ( the child ) ( was happy ) ),(ROOT (S (NP (DT the) (NN child)) (VP (VBD was) (ADJP (JJ happy))))) +504,"['neutral', 'neutral', 'neutral', 'neutral', 'entailment']",4115581760.jpg#2,neutral,4115581760.jpg#2r1n,A woman with a black jacket walks past an outdoor movie poster.,( ( ( A woman ) ( with ( a ( black jacket ) ) ) ) ( ( walks ( past ( an ( outdoor ( movie poster ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN with) (NP (DT a) (JJ black) (NN jacket)))) (VP (VBZ walks) (PP (IN past) (NP (DT an) (JJ outdoor) (NN movie) (NN poster)))) (. .))),A female is leaving a movie theatre.,( ( A female ) ( ( is ( leaving ( a ( movie theatre ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN female)) (VP (VBZ is) (VP (VBG leaving) (NP (DT a) (NN movie) (NN theatre)))) (. .))) +505,['entailment'],4115581760.jpg#2,entailment,4115581760.jpg#2r1e,A woman with a black jacket walks past an outdoor movie poster.,( ( ( A woman ) ( with ( a ( black jacket ) ) ) ) ( ( walks ( past ( an ( outdoor ( movie poster ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN with) (NP (DT a) (JJ black) (NN jacket)))) (VP (VBZ walks) (PP (IN past) (NP (DT an) (JJ outdoor) (NN movie) (NN poster)))) (. .))),A woman walking outside.,( ( ( A woman ) ( walking outside ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG walking) (ADVP (RB outside))) (. .))) +506,['contradiction'],4115581760.jpg#2,contradiction,4115581760.jpg#2r1c,A woman with a black jacket walks past an outdoor movie poster.,( ( ( A woman ) ( with ( a ( black jacket ) ) ) ) ( ( walks ( past ( an ( outdoor ( movie poster ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN with) (NP (DT a) (JJ black) (NN jacket)))) (VP (VBZ walks) (PP (IN past) (NP (DT an) (JJ outdoor) (NN movie) (NN poster)))) (. .))),A woman is cleaning up.,( ( A woman ) ( ( is ( cleaning up ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG cleaning) (PRT (RP up)))) (. .))) +507,['entailment'],3143765063.jpg#1,entailment,3143765063.jpg#1r1e,A man in an elf hat holding a white umbrella is standing on the sidewalk with two other men.,( ( ( A man ) ( in ( ( an ( elf hat ) ) ( holding ( a ( white umbrella ) ) ) ) ) ) ( ( is ( standing ( on ( ( the sidewalk ) ( with ( two ( other men ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NP (DT an) (NN elf) (NN hat)) (VP (VBG holding) (NP (DT a) (JJ white) (NN umbrella)))))) (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (PP (IN with) (NP (CD two) (JJ other) (NNS men))))))) (. .))),A man stands.,( ( A man ) ( stands . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ stands)) (. .))) +508,['contradiction'],3143765063.jpg#1,contradiction,3143765063.jpg#1r1c,A man in an elf hat holding a white umbrella is standing on the sidewalk with two other men.,( ( ( A man ) ( in ( ( an ( elf hat ) ) ( holding ( a ( white umbrella ) ) ) ) ) ) ( ( is ( standing ( on ( ( the sidewalk ) ( with ( two ( other men ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NP (DT an) (NN elf) (NN hat)) (VP (VBG holding) (NP (DT a) (JJ white) (NN umbrella)))))) (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (PP (IN with) (NP (CD two) (JJ other) (NNS men))))))) (. .))),"My love's like a red, red wig.","( ( My love ) ( ( 's ( like ( a ( red ( , ( red wig ) ) ) ) ) ) . ) )","(ROOT (S (NP (PRP$ My) (NN love)) (VP (VBZ 's) (PP (IN like) (NP (DT a) (JJ red) (, ,) (JJ red) (NN wig)))) (. .)))" +509,['neutral'],3143765063.jpg#1,neutral,3143765063.jpg#1r1n,A man in an elf hat holding a white umbrella is standing on the sidewalk with two other men.,( ( ( A man ) ( in ( ( an ( elf hat ) ) ( holding ( a ( white umbrella ) ) ) ) ) ) ( ( is ( standing ( on ( ( the sidewalk ) ( with ( two ( other men ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NP (DT an) (NN elf) (NN hat)) (VP (VBG holding) (NP (DT a) (JJ white) (NN umbrella)))))) (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (PP (IN with) (NP (CD two) (JJ other) (NNS men))))))) (. .))),Others are nearby.,( Others ( ( are nearby ) . ) ),(ROOT (S (NP (NNS Others)) (VP (VBP are) (ADVP (RB nearby))) (. .))) +510,['contradiction'],5728470160.jpg#3,contradiction,5728470160.jpg#3r1c,Indian lady and a guy in a blue suit dancing in the sunlight.,( ( ( ( ( Indian lady ) and ) ( ( a guy ) ( in ( a ( blue suit ) ) ) ) ) ( dancing ( in ( the sunlight ) ) ) ) . ),(ROOT (NP (NP (NP (JJ Indian) (NN lady)) (CC and) (NP (NP (DT a) (NN guy)) (PP (IN in) (NP (DT a) (JJ blue) (NN suit))))) (VP (VBG dancing) (PP (IN in) (NP (DT the) (NN sunlight)))) (. .))),A woman eats a pickle.,( ( A woman ) ( ( eats ( a pickle ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ eats) (NP (DT a) (NN pickle))) (. .))) +511,['entailment'],5728470160.jpg#3,entailment,5728470160.jpg#3r1e,Indian lady and a guy in a blue suit dancing in the sunlight.,( ( ( ( ( Indian lady ) and ) ( ( a guy ) ( in ( a ( blue suit ) ) ) ) ) ( dancing ( in ( the sunlight ) ) ) ) . ),(ROOT (NP (NP (NP (JJ Indian) (NN lady)) (CC and) (NP (NP (DT a) (NN guy)) (PP (IN in) (NP (DT a) (JJ blue) (NN suit))))) (VP (VBG dancing) (PP (IN in) (NP (DT the) (NN sunlight)))) (. .))),Two people dancing outdoors.,( ( ( Two people ) ( dancing outdoors ) ) . ),(ROOT (NP (NP (CD Two) (NNS people)) (VP (VBG dancing) (ADVP (RB outdoors))) (. .))) +512,['neutral'],5728470160.jpg#3,neutral,5728470160.jpg#3r1n,Indian lady and a guy in a blue suit dancing in the sunlight.,( ( ( ( ( Indian lady ) and ) ( ( a guy ) ( in ( a ( blue suit ) ) ) ) ) ( dancing ( in ( the sunlight ) ) ) ) . ),(ROOT (NP (NP (NP (JJ Indian) (NN lady)) (CC and) (NP (NP (DT a) (NN guy)) (PP (IN in) (NP (DT a) (JJ blue) (NN suit))))) (VP (VBG dancing) (PP (IN in) (NP (DT the) (NN sunlight)))) (. .))),Two people dancing while a band performs.,( ( ( Two people ) ( dancing ( while ( ( a band ) performs ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS people)) (VP (VBG dancing) (SBAR (IN while) (S (NP (DT a) (NN band)) (VP (VBZ performs))))) (. .))) +513,['entailment'],3525332706.jpg#4,entailment,3525332706.jpg#4r1e,Two older men are talking.,( ( Two ( older men ) ) ( ( are talking ) . ) ),(ROOT (S (NP (CD Two) (JJR older) (NNS men)) (VP (VBP are) (VP (VBG talking))) (. .))),Two people are having a conversation.,( ( Two people ) ( ( are ( having ( a conversation ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (VP (VBG having) (NP (DT a) (NN conversation)))) (. .))) +514,['neutral'],3525332706.jpg#4,neutral,3525332706.jpg#4r1n,Two older men are talking.,( ( Two ( older men ) ) ( ( are talking ) . ) ),(ROOT (S (NP (CD Two) (JJR older) (NNS men)) (VP (VBP are) (VP (VBG talking))) (. .))),Men are exchanging ideas.,( Men ( ( are ( exchanging ideas ) ) . ) ),(ROOT (S (NP (NNP Men)) (VP (VBP are) (VP (VBG exchanging) (NP (NNS ideas)))) (. .))) +515,['contradiction'],3525332706.jpg#4,contradiction,3525332706.jpg#4r1c,Two older men are talking.,( ( Two ( older men ) ) ( ( are talking ) . ) ),(ROOT (S (NP (CD Two) (JJR older) (NNS men)) (VP (VBP are) (VP (VBG talking))) (. .))),A crowd is talking over each other.,( ( A crowd ) ( ( is ( talking ( over ( each other ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN crowd)) (VP (VBZ is) (VP (VBG talking) (PP (IN over) (NP (DT each) (JJ other))))) (. .))) +516,['neutral'],6431072589.jpg#2,neutral,6431072589.jpg#2r5n,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),They are going fast.,( They ( ( are ( going fast ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (VBG going) (ADVP (RB fast)))) (. .))) +517,['entailment'],6431072589.jpg#2,entailment,6431072589.jpg#2r3e,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),A biker is doing jumps by trees.,( ( A biker ) ( ( is ( ( doing jumps ) ( by trees ) ) ) . ) ),(ROOT (S (NP (DT A) (NN biker)) (VP (VBZ is) (VP (VBG doing) (NP (NNS jumps)) (PP (IN by) (NP (NNS trees))))) (. .))) +518,['contradiction'],6431072589.jpg#2,contradiction,6431072589.jpg#2r5c,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),They aren't on bikes.,( They ( ( ( are n't ) ( on bikes ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (RB n't) (PP (IN on) (NP (NNS bikes)))) (. .))) +519,['neutral'],6431072589.jpg#2,neutral,6431072589.jpg#2r4n,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),A person is trying to learn new tricks on their bike.,( ( A person ) ( ( is ( trying ( to ( ( learn ( new tricks ) ) ( on ( their bike ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB learn) (NP (JJ new) (NNS tricks)) (PP (IN on) (NP (PRP$ their) (NN bike)))))))) (. .))) +520,['entailment'],6431072589.jpg#2,entailment,6431072589.jpg#2r2e,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),The biker is jumping into a hole.,( ( The biker ) ( ( is ( jumping ( into ( a hole ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN biker)) (VP (VBZ is) (VP (VBG jumping) (PP (IN into) (NP (DT a) (NN hole))))) (. .))) +521,['entailment'],6431072589.jpg#2,entailment,6431072589.jpg#2r4e,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),A person rides a bike outdoors.,( ( A person ) ( ( ( rides ( a bike ) ) outdoors ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBD rides) (NP (DT a) (NN bike)) (ADVP (RB outdoors))) (. .))) +522,['neutral'],6431072589.jpg#2,neutral,6431072589.jpg#2r1n,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),The biker can be a man or a woman,( ( The biker ) ( can ( be ( ( ( a man ) or ) ( a woman ) ) ) ) ),(ROOT (S (NP (DT The) (NN biker)) (VP (MD can) (VP (VB be) (NP (NP (DT a) (NN man)) (CC or) (NP (DT a) (NN woman))))))) +523,['entailment'],6431072589.jpg#2,entailment,6431072589.jpg#2r1e,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),There's a biker,( There ( 's ( a biker ) ) ),(ROOT (S (NP (EX There)) (VP (VBZ 's) (NP (DT a) (NN biker))))) +524,['neutral'],6431072589.jpg#2,neutral,6431072589.jpg#2r3n,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),A biker is doing jumps in a wooded area.,( ( A biker ) ( ( is ( doing ( jumps ( in ( a ( wooded area ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN biker)) (VP (VBZ is) (VP (VBG doing) (NP (NP (NNS jumps)) (PP (IN in) (NP (DT a) (JJ wooded) (NN area)))))) (. .))) +525,['neutral'],6431072589.jpg#2,neutral,6431072589.jpg#2r2n,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),The biker is using a small bike to jump a hole.,( ( The biker ) ( ( is ( ( using ( a ( small bike ) ) ) ( to ( jump ( a hole ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN biker)) (VP (VBZ is) (VP (VBG using) (NP (DT a) (JJ small) (NN bike)) (S (VP (TO to) (VP (VB jump) (NP (DT a) (NN hole))))))) (. .))) +526,['entailment'],6431072589.jpg#2,entailment,6431072589.jpg#2r5e,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),They are avoiding trees.,( They ( ( are ( avoiding trees ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (VBG avoiding) (NP (NNS trees)))) (. .))) +527,['contradiction'],6431072589.jpg#2,contradiction,6431072589.jpg#2r3c,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),The mountain biker is going on a desert trail.,( ( The ( mountain biker ) ) ( ( is ( going ( on ( a ( desert trail ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN mountain) (NN biker)) (VP (VBZ is) (VP (VBG going) (PP (IN on) (NP (DT a) (NN desert) (NN trail))))) (. .))) +528,['contradiction'],6431072589.jpg#2,contradiction,6431072589.jpg#2r2c,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),The biker is trying to jump over a volcano.,( ( The biker ) ( ( is ( trying ( to ( jump ( over ( a volcano ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN biker)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB jump) (PP (IN over) (NP (DT a) (NN volcano)))))))) (. .))) +529,['contradiction'],6431072589.jpg#2,contradiction,6431072589.jpg#2r1c,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),He's indoors,( He ( 's indoors ) ),(ROOT (S (NP (PRP He)) (VP (VBZ 's) (ADVP (RB indoors))))) +530,['contradiction'],6431072589.jpg#2,contradiction,6431072589.jpg#2r4c,A mountain biker jumping a slope outdoors in a forest area.,( ( ( A ( mountain biker ) ) ( ( ( jumping ( a slope ) ) outdoors ) ( in ( a ( forest area ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mountain) (NN biker)) (VP (VBG jumping) (NP (DT a) (NN slope)) (ADVP (RB outdoors)) (PP (IN in) (NP (DT a) (NN forest) (NN area)))) (. .))),A person is riding in a bobsled.,( ( A person ) ( ( is ( riding ( in ( a bobsled ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG riding) (PP (IN in) (NP (DT a) (NN bobsled))))) (. .))) +531,['neutral'],3525332706.jpg#0,neutral,3525332706.jpg#0r1n,Two older men in winter coats talking outside of a shop with a grassy lawn covered in a light coat of snow in front of it.,( ( ( ( ( ( Two ( older men ) ) ( in ( ( winter coats ) ( talking outside ) ) ) ) ( of ( a shop ) ) ) ( with ( a ( grassy lawn ) ) ) ) ( ( covered ( in ( ( a ( light coat ) ) ( of snow ) ) ) ) ( in ( front ( of it ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (JJR older) (NNS men)) (PP (IN in) (NP (NP (NN winter) (NNS coats)) (VP (VBG talking) (ADVP (RB outside))))) (PP (IN of) (NP (DT a) (NN shop))) (PP (IN with) (NP (DT a) (JJ grassy) (NN lawn))) (VP (VBN covered) (PP (IN in) (NP (NP (DT a) (JJ light) (NN coat)) (PP (IN of) (NP (NN snow))))) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (PRP it)))))) (. .))),The old men are discussing the weather.,( ( The ( old men ) ) ( ( are ( discussing ( the weather ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ old) (NNS men)) (VP (VBP are) (VP (VBG discussing) (NP (DT the) (NN weather)))) (. .))) +532,['entailment'],3525332706.jpg#0,entailment,3525332706.jpg#0r1e,Two older men in winter coats talking outside of a shop with a grassy lawn covered in a light coat of snow in front of it.,( ( ( ( ( ( Two ( older men ) ) ( in ( ( winter coats ) ( talking outside ) ) ) ) ( of ( a shop ) ) ) ( with ( a ( grassy lawn ) ) ) ) ( ( covered ( in ( ( a ( light coat ) ) ( of snow ) ) ) ) ( in ( front ( of it ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (JJR older) (NNS men)) (PP (IN in) (NP (NP (NN winter) (NNS coats)) (VP (VBG talking) (ADVP (RB outside))))) (PP (IN of) (NP (DT a) (NN shop))) (PP (IN with) (NP (DT a) (JJ grassy) (NN lawn))) (VP (VBN covered) (PP (IN in) (NP (NP (DT a) (JJ light) (NN coat)) (PP (IN of) (NP (NN snow))))) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (PRP it)))))) (. .))),Two old men in winter coats talk outside.,( ( ( Two ( old men ) ) ( in ( winter coats ) ) ) ( ( talk outside ) . ) ),(ROOT (S (NP (NP (CD Two) (JJ old) (NNS men)) (PP (IN in) (NP (NN winter) (NNS coats)))) (VP (VBP talk) (ADVP (RB outside))) (. .))) +533,['contradiction'],3525332706.jpg#0,contradiction,3525332706.jpg#0r1c,Two older men in winter coats talking outside of a shop with a grassy lawn covered in a light coat of snow in front of it.,( ( ( ( ( ( Two ( older men ) ) ( in ( ( winter coats ) ( talking outside ) ) ) ) ( of ( a shop ) ) ) ( with ( a ( grassy lawn ) ) ) ) ( ( covered ( in ( ( a ( light coat ) ) ( of snow ) ) ) ) ( in ( front ( of it ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (JJR older) (NNS men)) (PP (IN in) (NP (NP (NN winter) (NNS coats)) (VP (VBG talking) (ADVP (RB outside))))) (PP (IN of) (NP (DT a) (NN shop))) (PP (IN with) (NP (DT a) (JJ grassy) (NN lawn))) (VP (VBN covered) (PP (IN in) (NP (NP (DT a) (JJ light) (NN coat)) (PP (IN of) (NP (NN snow))))) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (PRP it)))))) (. .))),The old men are wearing raincoats.,( ( The ( old men ) ) ( ( are ( wearing raincoats ) ) . ) ),(ROOT (S (NP (DT The) (JJ old) (NNS men)) (VP (VBP are) (VP (VBG wearing) (NP (NNS raincoats)))) (. .))) +534,"['neutral', 'contradiction', 'contradiction', 'neutral', 'contradiction']",3525332706.jpg#1,contradiction,3525332706.jpg#1r1n,"Two elderly men having a conversation, snow covered grass in the background.","( ( ( Two ( elderly men ) ) ( having ( a conversation ) ) ) ( , ( snow ( ( ( covered grass ) ( in ( the background ) ) ) . ) ) ) )","(ROOT (S (S (NP (CD Two) (JJ elderly) (NNS men)) (VP (VBG having) (NP (DT a) (NN conversation)))) (, ,) (NP (NN snow)) (VP (VBD covered) (NP (NN grass)) (PP (IN in) (NP (DT the) (NN background)))) (. .)))",The men are drinking coffee and having some cookies,( ( The men ) ( are ( ( ( drinking coffee ) and ) ( having ( some cookies ) ) ) ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (VP (VP (VBG drinking) (NP (NN coffee))) (CC and) (VP (VBG having) (NP (DT some) (NNS cookies))))))) +535,['contradiction'],3525332706.jpg#1,contradiction,3525332706.jpg#1r1c,"Two elderly men having a conversation, snow covered grass in the background.","( ( ( Two ( elderly men ) ) ( having ( a conversation ) ) ) ( , ( snow ( ( ( covered grass ) ( in ( the background ) ) ) . ) ) ) )","(ROOT (S (S (NP (CD Two) (JJ elderly) (NNS men)) (VP (VBG having) (NP (DT a) (NN conversation)))) (, ,) (NP (NN snow)) (VP (VBD covered) (NP (NN grass)) (PP (IN in) (NP (DT the) (NN background)))) (. .)))",The men are sleeping,( ( The men ) ( are sleeping ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (VP (VBG sleeping))))) +536,['entailment'],3525332706.jpg#1,entailment,3525332706.jpg#1r1e,"Two elderly men having a conversation, snow covered grass in the background.","( ( ( Two ( elderly men ) ) ( having ( a conversation ) ) ) ( , ( snow ( ( ( covered grass ) ( in ( the background ) ) ) . ) ) ) )","(ROOT (S (S (NP (CD Two) (JJ elderly) (NNS men)) (VP (VBG having) (NP (DT a) (NN conversation)))) (, ,) (NP (NN snow)) (VP (VBD covered) (NP (NN grass)) (PP (IN in) (NP (DT the) (NN background)))) (. .)))",There are two men outside in this picture,( There ( ( are ( ( two men ) outside ) ) ( in ( this picture ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (ADVP (NP (CD two) (NNS men)) (IN outside)) (PP (IN in) (NP (DT this) (NN picture)))))) +537,['neutral'],3525332706.jpg#2,neutral,3525332706.jpg#2r1n,Two men are standing outside and snow is on the ground.,( ( ( ( ( Two men ) ( are ( standing outside ) ) ) and ) ( snow ( is ( on ( the ground ) ) ) ) ) . ),(ROOT (S (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG standing) (ADVP (RB outside))))) (CC and) (S (NP (NN snow)) (VP (VBZ is) (PP (IN on) (NP (DT the) (NN ground))))) (. .))),Two men preparing for a snowball fight.,( ( ( Two men ) ( preparing ( for ( a ( snowball fight ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS men)) (VP (VBG preparing) (PP (IN for) (NP (DT a) (JJ snowball) (NN fight)))) (. .))) +538,['entailment'],3525332706.jpg#2,entailment,3525332706.jpg#2r1e,Two men are standing outside and snow is on the ground.,( ( ( ( ( Two men ) ( are ( standing outside ) ) ) and ) ( snow ( is ( on ( the ground ) ) ) ) ) . ),(ROOT (S (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG standing) (ADVP (RB outside))))) (CC and) (S (NP (NN snow)) (VP (VBZ is) (PP (IN on) (NP (DT the) (NN ground))))) (. .))),People are near snow.,( People ( ( are ( near snow ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (PP (IN near) (NP (NN snow)))) (. .))) +539,['contradiction'],3525332706.jpg#2,contradiction,3525332706.jpg#2r1c,Two men are standing outside and snow is on the ground.,( ( ( ( ( Two men ) ( are ( standing outside ) ) ) and ) ( snow ( is ( on ( the ground ) ) ) ) ) . ),(ROOT (S (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG standing) (ADVP (RB outside))))) (CC and) (S (NP (NN snow)) (VP (VBZ is) (PP (IN on) (NP (DT the) (NN ground))))) (. .))),Men making snow angels.,( ( Men ( making ( snow angels ) ) ) . ),(ROOT (NP (NP (NNS Men)) (VP (VBG making) (NP (NN snow) (NNS angels))) (. .))) +540,['contradiction'],3525332706.jpg#3,contradiction,3525332706.jpg#3r1c,Two older men in coats are standing outside.,( ( ( Two ( older men ) ) ( in coats ) ) ( ( are ( standing outside ) ) . ) ),(ROOT (S (NP (NP (CD Two) (JJR older) (NNS men)) (PP (IN in) (NP (NNS coats)))) (VP (VBP are) (VP (VBG standing) (ADVP (RB outside)))) (. .))),These men never wore coats.,( ( These men ) ( never ( ( wore coats ) . ) ) ),(ROOT (S (NP (DT These) (NNS men)) (ADVP (RB never)) (VP (VBD wore) (NP (NNS coats))) (. .))) +541,['entailment'],3525332706.jpg#3,entailment,3525332706.jpg#3r1e,Two older men in coats are standing outside.,( ( ( Two ( older men ) ) ( in coats ) ) ( ( are ( standing outside ) ) . ) ),(ROOT (S (NP (NP (CD Two) (JJR older) (NNS men)) (PP (IN in) (NP (NNS coats)))) (VP (VBP are) (VP (VBG standing) (ADVP (RB outside)))) (. .))),They are outside wearing coats.,( They ( ( ( are outside ) ( wearing coats ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (ADVP (RB outside)) (VP (VBG wearing) (NP (NNS coats)))) (. .))) +542,"['neutral', 'neutral', 'neutral', 'contradiction', 'neutral']",3525332706.jpg#3,neutral,3525332706.jpg#3r1n,Two older men in coats are standing outside.,( ( ( Two ( older men ) ) ( in coats ) ) ( ( are ( standing outside ) ) . ) ),(ROOT (S (NP (NP (CD Two) (JJR older) (NNS men)) (PP (IN in) (NP (NNS coats)))) (VP (VBP are) (VP (VBG standing) (ADVP (RB outside)))) (. .))),"It is cold, but they went outside anyway.","( ( ( ( ( It ( is cold ) ) , ) but ) ( they ( ( went outside ) anyway ) ) ) . )","(ROOT (S (S (NP (PRP It)) (VP (VBZ is) (ADJP (JJ cold)))) (, ,) (CC but) (S (NP (PRP they)) (VP (VBD went) (ADVP (RB outside)) (ADVP (RB anyway)))) (. .)))" +543,['contradiction'],129528391.jpg#3,contradiction,129528391.jpg#3r1c,A gentleman in a purple scarf and hat is looking at money while holding an accordion.,( ( ( A gentleman ) ( in ( a ( purple ( ( scarf and ) hat ) ) ) ) ) ( ( is ( ( looking ( at money ) ) ( while ( holding ( an accordion ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN gentleman)) (PP (IN in) (NP (DT a) (JJ purple) (NN scarf) (CC and) (NN hat)))) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NN money))) (PP (IN while) (S (VP (VBG holding) (NP (DT an) (NN accordion))))))) (. .))),A woman is brushing her hair in her bedroom.,( ( A woman ) ( ( is ( ( brushing ( her hair ) ) ( in ( her bedroom ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG brushing) (NP (PRP$ her) (NN hair)) (PP (IN in) (NP (PRP$ her) (NN bedroom))))) (. .))) +544,['entailment'],129528391.jpg#3,entailment,129528391.jpg#3r1e,A gentleman in a purple scarf and hat is looking at money while holding an accordion.,( ( ( A gentleman ) ( in ( a ( purple ( ( scarf and ) hat ) ) ) ) ) ( ( is ( ( looking ( at money ) ) ( while ( holding ( an accordion ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN gentleman)) (PP (IN in) (NP (DT a) (JJ purple) (NN scarf) (CC and) (NN hat)))) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NN money))) (PP (IN while) (S (VP (VBG holding) (NP (DT an) (NN accordion))))))) (. .))),A man is holding an accordian.,( ( A man ) ( ( is ( holding ( an accordian ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN accordian)))) (. .))) +545,['neutral'],129528391.jpg#3,neutral,129528391.jpg#3r1n,A gentleman in a purple scarf and hat is looking at money while holding an accordion.,( ( ( A gentleman ) ( in ( a ( purple ( ( scarf and ) hat ) ) ) ) ) ( ( is ( ( looking ( at money ) ) ( while ( holding ( an accordion ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN gentleman)) (PP (IN in) (NP (DT a) (JJ purple) (NN scarf) (CC and) (NN hat)))) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NN money))) (PP (IN while) (S (VP (VBG holding) (NP (DT an) (NN accordion))))))) (. .))),A man is looking at a hundreds of dollars.,( ( A man ) ( ( is ( looking ( at ( ( a hundreds ) ( of dollars ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NNS hundreds)) (PP (IN of) (NP (NNS dollars))))))) (. .))) +546,['neutral'],6431072589.jpg#4,neutral,6431072589.jpg#4r1n,BMX biker jumps over a ravine.,( ( BMX biker ) ( ( jumps ( over ( a ravine ) ) ) . ) ),(ROOT (S (NP (NNP BMX) (NNP biker)) (VP (VBZ jumps) (PP (IN over) (NP (DT a) (NN ravine)))) (. .))),ravine jumping is never easy,( ( ravine jumping ) ( ( is never ) easy ) ),(ROOT (S (NP (JJ ravine) (NN jumping)) (VP (VBZ is) (ADVP (RB never)) (ADJP (JJ easy))))) +547,['entailment'],6431072589.jpg#4,entailment,6431072589.jpg#4r1e,BMX biker jumps over a ravine.,( ( BMX biker ) ( ( jumps ( over ( a ravine ) ) ) . ) ),(ROOT (S (NP (NNP BMX) (NNP biker)) (VP (VBZ jumps) (PP (IN over) (NP (DT a) (NN ravine)))) (. .))),there is a bmx biker who is perfect in ravine jumping,( there ( is ( ( a ( bmx biker ) ) ( who ( is ( perfect ( in ( ravine jumping ) ) ) ) ) ) ) ),(ROOT (S (NP (EX there)) (VP (VBZ is) (NP (NP (DT a) (NN bmx) (NN biker)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (ADJP (JJ perfect) (PP (IN in) (NP (JJ ravine) (NN jumping))))))))))) +548,['contradiction'],6431072589.jpg#4,contradiction,6431072589.jpg#4r1c,BMX biker jumps over a ravine.,( ( BMX biker ) ( ( jumps ( over ( a ravine ) ) ) . ) ),(ROOT (S (NP (NNP BMX) (NNP biker)) (VP (VBZ jumps) (PP (IN over) (NP (DT a) (NN ravine)))) (. .))),anybody can do ravine jumping,( anybody ( can ( do ( ravine jumping ) ) ) ),(ROOT (S (NP (NN anybody)) (VP (MD can) (VP (VB do) (NP (JJ ravine) (NN jumping)))))) +549,['neutral'],4486982499.jpg#3,neutral,4486982499.jpg#3r1n,A white bike is tied to a street sign.,( ( A ( white bike ) ) ( ( is ( tied ( to ( a ( street sign ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN bike)) (VP (VBZ is) (VP (VBN tied) (PP (TO to) (NP (DT a) (NN street) (NN sign))))) (. .))),the bike is tied to a stop sign,( ( the bike ) ( is ( tied ( to ( a ( stop sign ) ) ) ) ) ),(ROOT (S (NP (DT the) (NN bike)) (VP (VBZ is) (VP (VBN tied) (PP (TO to) (NP (DT a) (NN stop) (NN sign))))))) +550,['contradiction'],4486982499.jpg#3,contradiction,4486982499.jpg#3r1c,A white bike is tied to a street sign.,( ( A ( white bike ) ) ( ( is ( tied ( to ( a ( street sign ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN bike)) (VP (VBZ is) (VP (VBN tied) (PP (TO to) (NP (DT a) (NN street) (NN sign))))) (. .))),the car is parked at the sign,( ( the car ) ( is ( parked ( at ( the sign ) ) ) ) ),(ROOT (S (NP (DT the) (NN car)) (VP (VBZ is) (VP (VBN parked) (PP (IN at) (NP (DT the) (NN sign))))))) +551,['entailment'],4486982499.jpg#3,entailment,4486982499.jpg#3r1e,A white bike is tied to a street sign.,( ( A ( white bike ) ) ( ( is ( tied ( to ( a ( street sign ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN bike)) (VP (VBZ is) (VP (VBN tied) (PP (TO to) (NP (DT a) (NN street) (NN sign))))) (. .))),the bike is tied to a sign,( ( the bike ) ( is ( tied ( to ( a sign ) ) ) ) ),(ROOT (S (NP (DT the) (NN bike)) (VP (VBZ is) (VP (VBN tied) (PP (TO to) (NP (DT a) (NN sign))))))) +552,['contradiction'],4486982499.jpg#2,contradiction,4486982499.jpg#2r1c,A white bike is leaning against a post.,( ( A ( white bike ) ) ( ( is ( leaning ( against ( a post ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN bike)) (VP (VBZ is) (VP (VBG leaning) (PP (IN against) (NP (DT a) (NN post))))) (. .))),A bike is on the ground about to be reparied,( ( A bike ) ( is ( on ( ( the ground ) ( about ( to ( be reparied ) ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN bike)) (VP (VBZ is) (PP (IN on) (NP (NP (DT the) (NN ground)) (VP (IN about) (S (VP (TO to) (VP (VB be) (VP (VBN reparied))))))))))) +553,['neutral'],4486982499.jpg#2,neutral,4486982499.jpg#2r1n,A white bike is leaning against a post.,( ( A ( white bike ) ) ( ( is ( leaning ( against ( a post ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN bike)) (VP (VBZ is) (VP (VBG leaning) (PP (IN against) (NP (DT a) (NN post))))) (. .))),A bike with a flat tire is not being ridden,( ( ( A bike ) ( with ( a ( flat tire ) ) ) ) ( ( is not ) ( being ridden ) ) ),(ROOT (S (NP (NP (DT A) (NN bike)) (PP (IN with) (NP (DT a) (JJ flat) (NN tire)))) (VP (VBZ is) (RB not) (VP (VBG being) (VP (VBN ridden)))))) +554,['entailment'],4486982499.jpg#2,entailment,4486982499.jpg#2r1e,A white bike is leaning against a post.,( ( A ( white bike ) ) ( ( is ( leaning ( against ( a post ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN bike)) (VP (VBZ is) (VP (VBG leaning) (PP (IN against) (NP (DT a) (NN post))))) (. .))),A bike it outside,( ( A bike ) ( it outside ) ),(ROOT (FRAG (NP (NP (DT A) (NN bike)) (ADVP (NP (PRP it)) (IN outside))))) +555,['contradiction'],4486982499.jpg#1,contradiction,4486982499.jpg#1r1c,The boy locked the cycle and went away.,( ( The boy ) ( ( ( ( locked ( the cycle ) ) and ) ( went away ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VP (VBD locked) (NP (DT the) (NN cycle))) (CC and) (VP (VBD went) (ADVP (RB away)))) (. .))),A boy riding a bike.,( ( ( A boy ) ( riding ( a bike ) ) ) . ),(ROOT (NP (NP (DT A) (NN boy)) (VP (VBG riding) (NP (DT a) (NN bike))) (. .))) +556,"['entailment', 'neutral', 'neutral', 'entailment', 'entailment']",4486982499.jpg#1,entailment,4486982499.jpg#1r1e,The boy locked the cycle and went away.,( ( The boy ) ( ( ( ( locked ( the cycle ) ) and ) ( went away ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VP (VBD locked) (NP (DT the) (NN cycle))) (CC and) (VP (VBD went) (ADVP (RB away)))) (. .))),A boy walking away.,( ( ( A boy ) ( walking away ) ) . ),(ROOT (NP (NP (DT A) (NN boy)) (VP (VBG walking) (ADVP (RB away))) (. .))) +557,['neutral'],4486982499.jpg#1,neutral,4486982499.jpg#1r1n,The boy locked the cycle and went away.,( ( The boy ) ( ( ( ( locked ( the cycle ) ) and ) ( went away ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VP (VBD locked) (NP (DT the) (NN cycle))) (CC and) (VP (VBD went) (ADVP (RB away)))) (. .))),A bicycle chained up with a boy walking away.,( ( A bicycle ) ( ( ( chained up ) ( with ( ( a boy ) ( walking away ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN bicycle)) (VP (VBD chained) (PRT (RP up)) (PP (IN with) (NP (NP (DT a) (NN boy)) (VP (VBG walking) (ADVP (RB away)))))) (. .))) +558,['entailment'],4530524963.jpg#4,entailment,4530524963.jpg#4r1e,A crowded city during daytime.,( ( ( A ( crowded city ) ) ( during daytime ) ) . ),(ROOT (NP (NP (DT A) (JJ crowded) (NN city)) (PP (IN during) (NP (NN daytime))) (. .))),A city filled with people in the middle of the daytime.,( ( A city ) ( ( ( filled ( with people ) ) ( in ( ( the middle ) ( of ( the daytime ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN city)) (VP (VBD filled) (PP (IN with) (NP (NNS people))) (PP (IN in) (NP (NP (DT the) (NN middle)) (PP (IN of) (NP (DT the) (NN daytime)))))) (. .))) +559,['contradiction'],4530524963.jpg#4,contradiction,4530524963.jpg#4r1c,A crowded city during daytime.,( ( ( A ( crowded city ) ) ( during daytime ) ) . ),(ROOT (NP (NP (DT A) (JJ crowded) (NN city)) (PP (IN during) (NP (NN daytime))) (. .))),A abandoned city at the edge of the world.,( ( ( A ( abandoned city ) ) ( at ( ( the edge ) ( of ( the world ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (VBN abandoned) (NN city)) (PP (IN at) (NP (NP (DT the) (NN edge)) (PP (IN of) (NP (DT the) (NN world))))) (. .))) +560,['neutral'],4530524963.jpg#4,neutral,4530524963.jpg#4r1n,A crowded city during daytime.,( ( ( A ( crowded city ) ) ( during daytime ) ) . ),(ROOT (NP (NP (DT A) (JJ crowded) (NN city)) (PP (IN during) (NP (NN daytime))) (. .))),A crowded city filled with many cars on a warm summer day.,( ( A ( crowded city ) ) ( ( ( filled ( with ( many cars ) ) ) ( on ( a ( warm ( summer day ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ crowded) (NN city)) (VP (VBD filled) (PP (IN with) (NP (JJ many) (NNS cars))) (PP (IN on) (NP (DT a) (JJ warm) (NN summer) (NN day)))) (. .))) +561,['neutral'],4530524963.jpg#3,neutral,4530524963.jpg#3r1n,People walking around in a big city.,( ( People ( ( walking around ) ( in ( a ( big city ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG walking) (ADVP (RB around)) (PP (IN in) (NP (DT a) (JJ big) (NN city)))) (. .))),People are walking to the park.,( People ( ( are ( walking ( to ( the park ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG walking) (PP (TO to) (NP (DT the) (NN park))))) (. .))) +562,['entailment'],4530524963.jpg#3,entailment,4530524963.jpg#3r1e,People walking around in a big city.,( ( People ( ( walking around ) ( in ( a ( big city ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG walking) (ADVP (RB around)) (PP (IN in) (NP (DT a) (JJ big) (NN city)))) (. .))),People are outside.,( People ( ( are outside ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (ADJP (JJ outside))) (. .))) +563,['contradiction'],4530524963.jpg#3,contradiction,4530524963.jpg#3r1c,People walking around in a big city.,( ( People ( ( walking around ) ( in ( a ( big city ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG walking) (ADVP (RB around)) (PP (IN in) (NP (DT a) (JJ big) (NN city)))) (. .))),The people are asleep.,( ( The people ) ( ( are asleep ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (ADJP (RB asleep))) (. .))) +564,['entailment'],4530524963.jpg#2,entailment,4530524963.jpg#2r1e,A busy city that looks like New York City.,( ( ( A ( busy city ) ) ( that ( looks ( like ( New ( York City ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ busy) (NN city)) (SBAR (WHNP (WDT that)) (S (VP (VBZ looks) (PP (IN like) (NP (NNP New) (NNP York) (NNP City)))))) (. .))),The city has a lot of people in it.,( ( The city ) ( ( has ( ( a lot ) ( of ( people ( in it ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN city)) (VP (VBZ has) (NP (NP (DT a) (NN lot)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (PRP it))))))) (. .))) +565,['neutral'],4530524963.jpg#2,neutral,4530524963.jpg#2r1n,A busy city that looks like New York City.,( ( ( A ( busy city ) ) ( that ( looks ( like ( New ( York City ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ busy) (NN city)) (SBAR (WHNP (WDT that)) (S (VP (VBZ looks) (PP (IN like) (NP (NNP New) (NNP York) (NNP City)))))) (. .))),The city is very large.,( ( The city ) ( ( is ( very large ) ) . ) ),(ROOT (S (NP (DT The) (NN city)) (VP (VBZ is) (ADJP (RB very) (JJ large))) (. .))) +566,['contradiction'],4530524963.jpg#2,contradiction,4530524963.jpg#2r1c,A busy city that looks like New York City.,( ( ( A ( busy city ) ) ( that ( looks ( like ( New ( York City ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ busy) (NN city)) (SBAR (WHNP (WDT that)) (S (VP (VBZ looks) (PP (IN like) (NP (NNP New) (NNP York) (NNP City)))))) (. .))),"The city looks like Lawrence, Kansas.","( ( The city ) ( ( looks ( like ( Lawrence ( , Kansas ) ) ) ) . ) )","(ROOT (S (NP (DT The) (NN city)) (VP (VBZ looks) (PP (IN like) (NP (NNP Lawrence) (, ,) (NNP Kansas)))) (. .)))" +567,['entailment'],4530524963.jpg#1,entailment,4530524963.jpg#1r1e,"A view of buildings and people walking across the streets in Times Square, New York City.","( ( ( ( A view ) ( of ( ( buildings and ) people ) ) ) ( walking ( across ( ( the streets ) ( in ( ( ( Times Square ) , ) ( New ( York City ) ) ) ) ) ) ) ) . )","(ROOT (NP (NP (NP (DT A) (NN view)) (PP (IN of) (NP (NNS buildings) (CC and) (NNS people)))) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NNS streets)) (PP (IN in) (NP (NP (NNP Times) (NNP Square)) (, ,) (NP (NNP New) (NNP York) (NNP City))))))) (. .)))",There is a city.,( There ( ( is ( a city ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (DT a) (NN city))) (. .))) +568,['contradiction'],4530524963.jpg#1,contradiction,4530524963.jpg#1r1c,"A view of buildings and people walking across the streets in Times Square, New York City.","( ( ( ( A view ) ( of ( ( buildings and ) people ) ) ) ( walking ( across ( ( the streets ) ( in ( ( ( Times Square ) , ) ( New ( York City ) ) ) ) ) ) ) ) . )","(ROOT (NP (NP (NP (DT A) (NN view)) (PP (IN of) (NP (NNS buildings) (CC and) (NNS people)))) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NNS streets)) (PP (IN in) (NP (NP (NNP Times) (NNP Square)) (, ,) (NP (NNP New) (NNP York) (NNP City))))))) (. .)))",The field of poppies is perfectly still.,( ( ( The field ) ( of poppies ) ) ( ( is ( perfectly still ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN field)) (PP (IN of) (NP (NNS poppies)))) (VP (VBZ is) (ADJP (RB perfectly) (JJ still))) (. .))) +569,['neutral'],4530524963.jpg#1,neutral,4530524963.jpg#1r1n,"A view of buildings and people walking across the streets in Times Square, New York City.","( ( ( ( A view ) ( of ( ( buildings and ) people ) ) ) ( walking ( across ( ( the streets ) ( in ( ( ( Times Square ) , ) ( New ( York City ) ) ) ) ) ) ) ) . )","(ROOT (NP (NP (NP (DT A) (NN view)) (PP (IN of) (NP (NNS buildings) (CC and) (NNS people)))) (VP (VBG walking) (PP (IN across) (NP (NP (DT the) (NNS streets)) (PP (IN in) (NP (NP (NNP Times) (NNP Square)) (, ,) (NP (NNP New) (NNP York) (NNP City))))))) (. .)))",Times Square in New York City is full of people and bustling with noise and activity.,( ( ( Times Square ) ( in ( New ( York City ) ) ) ) ( ( ( is ( full ( of ( ( people and ) bustling ) ) ) ) ( with ( ( noise and ) activity ) ) ) . ) ),(ROOT (S (NP (NP (NNP Times) (NNP Square)) (PP (IN in) (NP (NNP New) (NNP York) (NNP City)))) (VP (VBZ is) (ADJP (JJ full) (PP (IN of) (NP (NNS people) (CC and) (NNS bustling)))) (PP (IN with) (NP (NN noise) (CC and) (NN activity)))) (. .))) +570,['contradiction'],4195751574.jpg#4,contradiction,4195751574.jpg#4r1c,A woman is making a clay pot.,( ( A woman ) ( ( is ( making ( a ( clay pot ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG making) (NP (DT a) (NN clay) (NN pot)))) (. .))),A man is painting a painting.,( ( A man ) ( ( is ( painting ( a painting ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG painting) (NP (DT a) (NN painting)))) (. .))) +571,['neutral'],4195751574.jpg#4,neutral,4195751574.jpg#4r1n,A woman is making a clay pot.,( ( A woman ) ( ( is ( making ( a ( clay pot ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG making) (NP (DT a) (NN clay) (NN pot)))) (. .))),A woman is making a flower pot.,( ( A woman ) ( ( is ( making ( a ( flower pot ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG making) (NP (DT a) (NN flower) (NN pot)))) (. .))) +572,['entailment'],4195751574.jpg#4,entailment,4195751574.jpg#4r1e,A woman is making a clay pot.,( ( A woman ) ( ( is ( making ( a ( clay pot ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG making) (NP (DT a) (NN clay) (NN pot)))) (. .))),An artist is sculpting with clay.,( ( An artist ) ( ( is ( sculpting ( with clay ) ) ) . ) ),(ROOT (S (NP (DT An) (NN artist)) (VP (VBZ is) (VP (VBG sculpting) (PP (IN with) (NP (NN clay))))) (. .))) +573,['neutral'],2096485764.jpg#4,neutral,2096485764.jpg#4r1n,A barber waiting for customers.,( ( ( A barber ) ( waiting ( for customers ) ) ) . ),(ROOT (NP (NP (DT A) (NN barber)) (VP (VBG waiting) (PP (IN for) (NP (NNS customers)))) (. .))),A barber is inside his shop standing in the front.,( ( A barber ) ( ( is ( inside ( ( his shop ) ( standing ( in ( the front ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN barber)) (VP (VBZ is) (PP (IN inside) (NP (NP (PRP$ his) (NN shop)) (VP (VBG standing) (PP (IN in) (NP (DT the) (NN front))))))) (. .))) +574,['entailment'],2096485764.jpg#4,entailment,2096485764.jpg#4r1e,A barber waiting for customers.,( ( ( A barber ) ( waiting ( for customers ) ) ) . ),(ROOT (NP (NP (DT A) (NN barber)) (VP (VBG waiting) (PP (IN for) (NP (NNS customers)))) (. .))),A barber is at work.,( ( A barber ) ( ( is ( at work ) ) . ) ),(ROOT (S (NP (DT A) (NN barber)) (VP (VBZ is) (PP (IN at) (NP (NN work)))) (. .))) +575,['contradiction'],2096485764.jpg#4,contradiction,2096485764.jpg#4r1c,A barber waiting for customers.,( ( ( A barber ) ( waiting ( for customers ) ) ) . ),(ROOT (NP (NP (DT A) (NN barber)) (VP (VBG waiting) (PP (IN for) (NP (NNS customers)))) (. .))),The barber is closing the shop at the end of the day.,( ( The barber ) ( ( is ( ( closing ( the shop ) ) ( at ( ( the end ) ( of ( the day ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN barber)) (VP (VBZ is) (VP (VBG closing) (NP (DT the) (NN shop)) (PP (IN at) (NP (NP (DT the) (NN end)) (PP (IN of) (NP (DT the) (NN day))))))) (. .))) +576,['entailment'],2096485764.jpg#3,entailment,2096485764.jpg#3r1e,A man sitting in a barber shop.,( ( ( A man ) ( sitting ( in ( a ( barber shop ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG sitting) (PP (IN in) (NP (DT a) (NN barber) (NN shop)))) (. .))),There is an individual waiting indoors.,( There ( ( is ( ( an individual ) ( waiting indoors ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT an) (NN individual)) (VP (VBG waiting) (ADVP (RB indoors))))) (. .))) +577,['neutral'],2096485764.jpg#3,neutral,2096485764.jpg#3r1n,A man sitting in a barber shop.,( ( ( A man ) ( sitting ( in ( a ( barber shop ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG sitting) (PP (IN in) (NP (DT a) (NN barber) (NN shop)))) (. .))),A man is waiting to get his haircut.,( ( A man ) ( ( is ( waiting ( to ( get ( his haircut ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG waiting) (S (VP (TO to) (VP (VB get) (NP (PRP$ his) (NN haircut))))))) (. .))) +578,['contradiction'],2096485764.jpg#3,contradiction,2096485764.jpg#3r1c,A man sitting in a barber shop.,( ( ( A man ) ( sitting ( in ( a ( barber shop ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG sitting) (PP (IN in) (NP (DT a) (NN barber) (NN shop)))) (. .))),A man is brushing his teeth.,( ( A man ) ( ( is ( brushing ( his teeth ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG brushing) (NP (PRP$ his) (NNS teeth)))) (. .))) +579,['neutral'],4195751574.jpg#3,neutral,4195751574.jpg#3r1n,A woman preparing to glaze a bowl.,( ( ( A woman ) ( preparing ( to ( glaze ( a bowl ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG preparing) (S (VP (TO to) (VP (VB glaze) (NP (DT a) (NN bowl)))))) (. .))),A woman happily preparing to glaze,( ( A woman ) ( happily ( preparing ( to glaze ) ) ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (ADVP (RB happily)) (VBG preparing) (S (VP (TO to) (VP (VB glaze)))))))) +580,['contradiction'],4195751574.jpg#3,contradiction,4195751574.jpg#3r1c,A woman preparing to glaze a bowl.,( ( ( A woman ) ( preparing ( to ( glaze ( a bowl ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG preparing) (S (VP (TO to) (VP (VB glaze) (NP (DT a) (NN bowl)))))) (. .))),A woman not preparing to glaze,( ( A woman ) ( not ( preparing ( to glaze ) ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (RB not) (S (VP (VBG preparing) (S (VP (TO to) (VP (VB glaze))))))))) +581,['entailment'],4195751574.jpg#3,entailment,4195751574.jpg#3r1e,A woman preparing to glaze a bowl.,( ( ( A woman ) ( preparing ( to ( glaze ( a bowl ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG preparing) (S (VP (TO to) (VP (VB glaze) (NP (DT a) (NN bowl)))))) (. .))),A woman preparing to glaze,( ( A woman ) ( preparing ( to glaze ) ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG preparing) (S (VP (TO to) (VP (VB glaze)))))))) +582,['contradiction'],4195751574.jpg#0,contradiction,4195751574.jpg#0r1c,"A woman wearing an apron inspects a large pot on a table filled with cups, bowls, pots and baskets of assorted size.","( ( ( A woman ) ( wearing ( an apron ) ) ) ( ( ( inspects ( a ( large pot ) ) ) ( on ( ( a table ) ( filled ( with ( ( cups ( , ( bowls ( , ( ( pots and ) baskets ) ) ) ) ) ( of ( assorted size ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT an) (NN apron)))) (VP (VBZ inspects) (NP (DT a) (JJ large) (NN pot)) (PP (IN on) (NP (NP (DT a) (NN table)) (VP (VBN filled) (PP (IN with) (NP (NP (NNS cups) (, ,) (NNS bowls) (, ,) (NNS pots) (CC and) (NNS baskets)) (PP (IN of) (NP (JJ assorted) (NN size))))))))) (. .)))",A woman wearing gloves is washing dishes.,( ( ( A woman ) ( wearing gloves ) ) ( ( is ( washing dishes ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (NNS gloves)))) (VP (VBZ is) (VP (VBG washing) (NP (NNS dishes)))) (. .))) +583,['neutral'],4195751574.jpg#0,neutral,4195751574.jpg#0r1n,"A woman wearing an apron inspects a large pot on a table filled with cups, bowls, pots and baskets of assorted size.","( ( ( A woman ) ( wearing ( an apron ) ) ) ( ( ( inspects ( a ( large pot ) ) ) ( on ( ( a table ) ( filled ( with ( ( cups ( , ( bowls ( , ( ( pots and ) baskets ) ) ) ) ) ( of ( assorted size ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT an) (NN apron)))) (VP (VBZ inspects) (NP (DT a) (JJ large) (NN pot)) (PP (IN on) (NP (NP (DT a) (NN table)) (VP (VBN filled) (PP (IN with) (NP (NP (NNS cups) (, ,) (NNS bowls) (, ,) (NNS pots) (CC and) (NNS baskets)) (PP (IN of) (NP (JJ assorted) (NN size))))))))) (. .)))","A woman wearing a red apron inspects a large black pot on a table filled with cups, bowls, pots and baskets of assorted size.","( ( ( A woman ) ( wearing ( a ( red apron ) ) ) ) ( ( ( inspects ( a ( large ( black pot ) ) ) ) ( on ( ( a table ) ( filled ( with ( ( cups ( , ( bowls ( , ( ( pots and ) baskets ) ) ) ) ) ( of ( assorted size ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ red) (NN apron)))) (VP (VBZ inspects) (NP (DT a) (JJ large) (JJ black) (NN pot)) (PP (IN on) (NP (NP (DT a) (NN table)) (VP (VBN filled) (PP (IN with) (NP (NP (NNS cups) (, ,) (NNS bowls) (, ,) (NNS pots) (CC and) (NNS baskets)) (PP (IN of) (NP (JJ assorted) (NN size))))))))) (. .)))" +584,['entailment'],4195751574.jpg#0,entailment,4195751574.jpg#0r1e,"A woman wearing an apron inspects a large pot on a table filled with cups, bowls, pots and baskets of assorted size.","( ( ( A woman ) ( wearing ( an apron ) ) ) ( ( ( inspects ( a ( large pot ) ) ) ( on ( ( a table ) ( filled ( with ( ( cups ( , ( bowls ( , ( ( pots and ) baskets ) ) ) ) ) ( of ( assorted size ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT an) (NN apron)))) (VP (VBZ inspects) (NP (DT a) (JJ large) (NN pot)) (PP (IN on) (NP (NP (DT a) (NN table)) (VP (VBN filled) (PP (IN with) (NP (NP (NNS cups) (, ,) (NNS bowls) (, ,) (NNS pots) (CC and) (NNS baskets)) (PP (IN of) (NP (JJ assorted) (NN size))))))))) (. .)))",A woman is wearing an apron.,( ( A woman ) ( ( is ( wearing ( an apron ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (NP (DT an) (NN apron)))) (. .))) +585,['contradiction'],4530484184.jpg#3,contradiction,4530484184.jpg#3r1c,A model posing to look as if she's a real female soccer player.,( ( ( A model ) ( posing ( to ( look ( as ( if ( she ( 's ( a ( real ( female ( soccer player ) ) ) ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN model)) (VP (VBG posing) (S (VP (TO to) (VP (VB look) (SBAR (RB as) (IN if) (S (NP (PRP she)) (VP (VBZ 's) (NP (DT a) (JJ real) (JJ female) (NN soccer) (NN player))))))))) (. .))),A man is modeling for a cooking show.,( ( A man ) ( ( is ( modeling ( for ( a ( cooking show ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (NP (NP (NN modeling)) (PP (IN for) (NP (DT a) (JJ cooking) (NN show))))) (. .))) +586,['neutral'],4530484184.jpg#3,neutral,4530484184.jpg#3r1n,A model posing to look as if she's a real female soccer player.,( ( ( A model ) ( posing ( to ( look ( as ( if ( she ( 's ( a ( real ( female ( soccer player ) ) ) ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN model)) (VP (VBG posing) (S (VP (TO to) (VP (VB look) (SBAR (RB as) (IN if) (S (NP (PRP she)) (VP (VBZ 's) (NP (DT a) (JJ real) (JJ female) (NN soccer) (NN player))))))))) (. .))),A woman is trying to model for a sports magazine.,( ( A woman ) ( ( is ( trying ( to ( model ( for ( a ( sports magazine ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB model) (PP (IN for) (NP (DT a) (NNS sports) (NN magazine)))))))) (. .))) +587,['entailment'],4530484184.jpg#3,entailment,4530484184.jpg#3r1e,A model posing to look as if she's a real female soccer player.,( ( ( A model ) ( posing ( to ( look ( as ( if ( she ( 's ( a ( real ( female ( soccer player ) ) ) ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN model)) (VP (VBG posing) (S (VP (TO to) (VP (VB look) (SBAR (RB as) (IN if) (S (NP (PRP she)) (VP (VBZ 's) (NP (DT a) (JJ real) (JJ female) (NN soccer) (NN player))))))))) (. .))),A model is doing a shoot.,( ( A model ) ( ( is ( doing ( a shoot ) ) ) . ) ),(ROOT (S (NP (DT A) (NN model)) (VP (VBZ is) (VP (VBG doing) (NP (DT a) (NN shoot)))) (. .))) +588,['entailment'],4679111230.jpg#4,entailment,4679111230.jpg#4r1e,Firemen emerge from a subway station.,( Firemen ( ( emerge ( from ( a ( subway station ) ) ) ) . ) ),(ROOT (S (NP (NNP Firemen)) (VP (VBP emerge) (PP (IN from) (NP (DT a) (NN subway) (NN station)))) (. .))),Firemen walking outside,( Firemen ( walking outside ) ),(ROOT (S (VP (VB Firemen) (S (VP (VBG walking) (ADVP (RB outside))))))) +589,['contradiction'],4679111230.jpg#4,contradiction,4679111230.jpg#4r1c,Firemen emerge from a subway station.,( Firemen ( ( emerge ( from ( a ( subway station ) ) ) ) . ) ),(ROOT (S (NP (NNP Firemen)) (VP (VBP emerge) (PP (IN from) (NP (DT a) (NN subway) (NN station)))) (. .))),The station is empty,( ( The station ) ( is empty ) ),(ROOT (S (NP (DT The) (NN station)) (VP (VBZ is) (ADJP (JJ empty))))) +590,['neutral'],4679111230.jpg#4,neutral,4679111230.jpg#4r1n,Firemen emerge from a subway station.,( Firemen ( ( emerge ( from ( a ( subway station ) ) ) ) . ) ),(ROOT (S (NP (NNP Firemen)) (VP (VBP emerge) (PP (IN from) (NP (DT a) (NN subway) (NN station)))) (. .))),The firemen are not working,( ( The firemen ) ( ( are not ) working ) ),(ROOT (S (NP (DT The) (NNS firemen)) (VP (VBP are) (RB not) (VP (VBG working))))) +591,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",4679111230.jpg#3,entailment,4679111230.jpg#3r1e,Exhausted looking firemen are walking.,( ( ( Exhausted looking ) firemen ) ( ( are walking ) . ) ),(ROOT (S (NP (ADJP (JJ Exhausted) (JJ looking)) (NNS firemen)) (VP (VBP are) (VP (VBG walking))) (. .))),Firemen are walking.,( Firemen ( ( are walking ) . ) ),(ROOT (S (NP (NNP Firemen)) (VP (VBP are) (VP (VBG walking))) (. .))) +592,['neutral'],4679111230.jpg#3,neutral,4679111230.jpg#3r1n,Exhausted looking firemen are walking.,( ( ( Exhausted looking ) firemen ) ( ( are walking ) . ) ),(ROOT (S (NP (ADJP (JJ Exhausted) (JJ looking)) (NNS firemen)) (VP (VBP are) (VP (VBG walking))) (. .))),Exhausted looking firemen are walking back to the fire station to rest.,( ( ( Exhausted looking ) firemen ) ( ( are ( ( walking ( back ( to ( the ( fire station ) ) ) ) ) ( to rest ) ) ) . ) ),(ROOT (S (NP (ADJP (JJ Exhausted) (JJ looking)) (NNS firemen)) (VP (VBP are) (VP (VBG walking) (ADVP (RB back) (PP (TO to) (NP (DT the) (NN fire) (NN station)))) (PP (TO to) (NP (NN rest))))) (. .))) +593,['contradiction'],4679111230.jpg#3,contradiction,4679111230.jpg#3r1c,Exhausted looking firemen are walking.,( ( ( Exhausted looking ) firemen ) ( ( are walking ) . ) ),(ROOT (S (NP (ADJP (JJ Exhausted) (JJ looking)) (NNS firemen)) (VP (VBP are) (VP (VBG walking))) (. .))),Determined looking firemen are running into a burning building.,( ( Determined ( looking firemen ) ) ( ( are ( running ( into ( a ( burning building ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Determined)) (VP (VBG looking) (NP (NNS firemen)))) (VP (VBP are) (VP (VBG running) (PP (IN into) (NP (DT a) (VBG burning) (NN building))))) (. .))) +594,['contradiction'],4679111230.jpg#0,contradiction,4679111230.jpg#0r1c,"Three firefighters, the nearest firefighter is holding a helmet in his left hand.","( ( ( ( Three firefighters ) , ) ( the ( nearest firefighter ) ) ) ( ( is ( holding ( ( a helmet ) ( in ( his ( left hand ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Three) (NNS firefighters)) (, ,) (NP (DT the) (JJS nearest) (NN firefighter))) (VP (VBZ is) (VP (VBG holding) (NP (NP (DT a) (NN helmet)) (PP (IN in) (NP (PRP$ his) (JJ left) (NN hand)))))) (. .)))",Three man are holding axes in their left hands.,( ( Three man ) ( ( are ( holding ( axes ( in ( their ( left hands ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NN man)) (VP (VBP are) (VP (VBG holding) (NP (NP (NNS axes)) (PP (IN in) (NP (PRP$ their) (JJ left) (NNS hands)))))) (. .))) +595,['neutral'],4679111230.jpg#0,neutral,4679111230.jpg#0r1n,"Three firefighters, the nearest firefighter is holding a helmet in his left hand.","( ( ( ( Three firefighters ) , ) ( the ( nearest firefighter ) ) ) ( ( is ( holding ( ( a helmet ) ( in ( his ( left hand ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Three) (NNS firefighters)) (, ,) (NP (DT the) (JJS nearest) (NN firefighter))) (VP (VBZ is) (VP (VBG holding) (NP (NP (DT a) (NN helmet)) (PP (IN in) (NP (PRP$ his) (JJ left) (NN hand)))))) (. .)))",The three firefighters are discussing sports.,( ( The ( three firefighters ) ) ( ( are ( discussing sports ) ) . ) ),(ROOT (S (NP (DT The) (CD three) (NNS firefighters)) (VP (VBP are) (VP (VBG discussing) (NP (NNS sports)))) (. .))) +596,['entailment'],4679111230.jpg#0,entailment,4679111230.jpg#0r1e,"Three firefighters, the nearest firefighter is holding a helmet in his left hand.","( ( ( ( Three firefighters ) , ) ( the ( nearest firefighter ) ) ) ( ( is ( holding ( ( a helmet ) ( in ( his ( left hand ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Three) (NNS firefighters)) (, ,) (NP (DT the) (JJS nearest) (NN firefighter))) (VP (VBZ is) (VP (VBG holding) (NP (NP (DT a) (NN helmet)) (PP (IN in) (NP (PRP$ his) (JJ left) (NN hand)))))) (. .)))",The firemen are gathered one is holding his helmet.,( ( The firemen ) ( ( are ( gathered ( one ( is ( holding ( his helmet ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS firemen)) (VP (VBP are) (VP (VBN gathered) (SBAR (S (NP (PRP one)) (VP (VBZ is) (VP (VBG holding) (NP (PRP$ his) (NN helmet)))))))) (. .))) +597,['neutral'],4688203626.jpg#4,neutral,4688203626.jpg#4r1n,A man walking along side a clean up crew.,( ( ( A man ) ( ( walking along ) ( side ( a ( ( clean up ) crew ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG walking) (PRT (RP along)) (NP (RB side) (DT a) (ADJP (JJ clean) (PRT (RP up))) (NN crew))) (. .))),The man directed the clean up crew where to go.,( ( The man ) ( ( ( directed ( the ( ( clean up ) crew ) ) ) ( where ( to go ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBD directed) (NP (DT the) (ADJP (JJ clean) (PRT (RP up))) (NN crew)) (SBAR (WHADVP (WRB where)) (S (VP (TO to) (VP (VB go)))))) (. .))) +598,['contradiction'],4688203626.jpg#4,contradiction,4688203626.jpg#4r1c,A man walking along side a clean up crew.,( ( ( A man ) ( ( walking along ) ( side ( a ( ( clean up ) crew ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG walking) (PRT (RP along)) (NP (RB side) (DT a) (ADJP (JJ clean) (PRT (RP up))) (NN crew))) (. .))),The woman jogged alongside the crew.,( ( The woman ) ( ( jogged ( alongside ( the crew ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBD jogged) (PP (IN alongside) (NP (DT the) (NN crew)))) (. .))) +599,['entailment'],4688203626.jpg#4,entailment,4688203626.jpg#4r1e,A man walking along side a clean up crew.,( ( ( A man ) ( ( walking along ) ( side ( a ( ( clean up ) crew ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG walking) (PRT (RP along)) (NP (RB side) (DT a) (ADJP (JJ clean) (PRT (RP up))) (NN crew))) (. .))),The man walked alongside the crew.,( ( The man ) ( ( walked ( alongside ( the crew ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBD walked) (PP (IN alongside) (NP (DT the) (NN crew)))) (. .))) +600,['contradiction'],897621891.jpg#4,contradiction,897621891.jpg#4r1c,A little boy swims underwater.,( ( A ( little boy ) ) ( ( swims underwater ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VBZ swims) (ADVP (RB underwater))) (. .))),A boy floats on top of water.,( ( A boy ) ( ( floats ( on ( top ( of water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ floats) (PP (IN on) (NP (NP (NN top)) (PP (IN of) (NP (NN water)))))) (. .))) +601,['neutral'],897621891.jpg#4,neutral,897621891.jpg#4r1n,A little boy swims underwater.,( ( A ( little boy ) ) ( ( swims underwater ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VBZ swims) (ADVP (RB underwater))) (. .))),A little boy swimming at a beach.,( ( ( A ( little boy ) ) ( swimming ( at ( a beach ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ little) (NN boy)) (VP (VBG swimming) (PP (IN at) (NP (DT a) (NN beach)))) (. .))) +602,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",897621891.jpg#4,entailment,897621891.jpg#4r1e,A little boy swims underwater.,( ( A ( little boy ) ) ( ( swims underwater ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VBZ swims) (ADVP (RB underwater))) (. .))),A child swimming.,( ( ( A child ) swimming ) . ),(ROOT (NP (NP (DT A) (NN child)) (VP (VBG swimming)) (. .))) +603,['contradiction'],7729005930.jpg#4,contradiction,7729005930.jpg#4r1c,A driver is racing his Ford vehicle on a gravel track.,( ( A driver ) ( ( is ( ( racing ( his ( Ford vehicle ) ) ) ( on ( a ( gravel track ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN driver)) (VP (VBZ is) (VP (VBG racing) (NP (PRP$ his) (NNP Ford) (NN vehicle)) (PP (IN on) (NP (DT a) (NN gravel) (NN track))))) (. .))),A man has parked his truck.,( ( A man ) ( ( has ( parked ( his truck ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ has) (VP (VBN parked) (NP (PRP$ his) (NN truck)))) (. .))) +604,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",7729005930.jpg#4,entailment,7729005930.jpg#4r1e,A driver is racing his Ford vehicle on a gravel track.,( ( A driver ) ( ( is ( ( racing ( his ( Ford vehicle ) ) ) ( on ( a ( gravel track ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN driver)) (VP (VBZ is) (VP (VBG racing) (NP (PRP$ his) (NNP Ford) (NN vehicle)) (PP (IN on) (NP (DT a) (NN gravel) (NN track))))) (. .))),A Ford is being driven on a track.,( ( A Ford ) ( ( is ( being ( driven ( on ( a track ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NNP Ford)) (VP (VBZ is) (VP (VBG being) (VP (VBN driven) (PP (IN on) (NP (DT a) (NN track)))))) (. .))) +605,['neutral'],7729005930.jpg#4,neutral,7729005930.jpg#4r1n,A driver is racing his Ford vehicle on a gravel track.,( ( A driver ) ( ( is ( ( racing ( his ( Ford vehicle ) ) ) ( on ( a ( gravel track ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN driver)) (VP (VBZ is) (VP (VBG racing) (NP (PRP$ his) (NNP Ford) (NN vehicle)) (PP (IN on) (NP (DT a) (NN gravel) (NN track))))) (. .))),A man is racing his truck.,( ( A man ) ( ( is ( racing ( his truck ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG racing) (NP (PRP$ his) (NN truck)))) (. .))) +606,['contradiction'],2798884617.jpg#4,contradiction,2798884617.jpg#4r1c,Three guys and a girl are all jumping in a pool together.,( ( ( ( Three guys ) and ) ( a girl ) ) ( ( ( are all ) ( ( jumping ( in ( a pool ) ) ) together ) ) . ) ),(ROOT (S (NP (NP (CD Three) (NNS guys)) (CC and) (NP (DT a) (NN girl))) (VP (VBP are) (RB all) (VP (VBG jumping) (PP (IN in) (NP (DT a) (NN pool))) (ADVP (RB together)))) (. .))),The people are all climbing out of the water.,( ( The people ) ( ( ( are all ) ( ( climbing out ) ( of ( the water ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (RB all) (VP (VBG climbing) (PRT (RP out)) (PP (IN of) (NP (DT the) (NN water))))) (. .))) +607,['entailment'],2798884617.jpg#4,entailment,2798884617.jpg#4r1e,Three guys and a girl are all jumping in a pool together.,( ( ( ( Three guys ) and ) ( a girl ) ) ( ( ( are all ) ( ( jumping ( in ( a pool ) ) ) together ) ) . ) ),(ROOT (S (NP (NP (CD Three) (NNS guys)) (CC and) (NP (DT a) (NN girl))) (VP (VBP are) (RB all) (VP (VBG jumping) (PP (IN in) (NP (DT a) (NN pool))) (ADVP (RB together)))) (. .))),The people are all jumping into a body of water.,( ( The people ) ( ( ( are all ) ( jumping ( into ( ( a body ) ( of water ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (RB all) (VP (VBG jumping) (PP (IN into) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water))))))) (. .))) +608,['neutral'],2798884617.jpg#4,neutral,2798884617.jpg#4r1n,Three guys and a girl are all jumping in a pool together.,( ( ( ( Three guys ) and ) ( a girl ) ) ( ( ( are all ) ( ( jumping ( in ( a pool ) ) ) together ) ) . ) ),(ROOT (S (NP (NP (CD Three) (NNS guys)) (CC and) (NP (DT a) (NN girl))) (VP (VBP are) (RB all) (VP (VBG jumping) (PP (IN in) (NP (DT a) (NN pool))) (ADVP (RB together)))) (. .))),The people are all friends.,( ( The people ) ( ( are ( all friends ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (NP (DT all) (NNS friends))) (. .))) +609,['neutral'],897621891.jpg#0,neutral,897621891.jpg#0r1n,"A little boy underwater in a pool, holding a plastic dinosaur.","( ( A ( little boy ) ) ( ( ( ( underwater ( in ( a pool ) ) ) , ) ( holding ( a ( plastic dinosaur ) ) ) ) . ) )","(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VBD underwater) (PP (IN in) (NP (DT a) (NN pool))) (, ,) (S (VP (VBG holding) (NP (DT a) (JJ plastic) (NN dinosaur))))) (. .)))",The toy is waterproof.,( ( The toy ) ( ( is waterproof ) . ) ),(ROOT (S (NP (DT The) (NN toy)) (VP (VBZ is) (ADJP (JJ waterproof))) (. .))) +610,['contradiction'],897621891.jpg#0,contradiction,897621891.jpg#0r1c,"A little boy underwater in a pool, holding a plastic dinosaur.","( ( A ( little boy ) ) ( ( ( ( underwater ( in ( a pool ) ) ) , ) ( holding ( a ( plastic dinosaur ) ) ) ) . ) )","(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VBD underwater) (PP (IN in) (NP (DT a) (NN pool))) (, ,) (S (VP (VBG holding) (NP (DT a) (JJ plastic) (NN dinosaur))))) (. .)))",The Lone Ranger swims again.,( ( The ( Lone Ranger ) ) ( ( swims again ) . ) ),(ROOT (S (NP (DT The) (NNP Lone) (NNP Ranger)) (VP (VBZ swims) (ADVP (RB again))) (. .))) +611,['entailment'],897621891.jpg#0,entailment,897621891.jpg#0r1e,"A little boy underwater in a pool, holding a plastic dinosaur.","( ( A ( little boy ) ) ( ( ( ( underwater ( in ( a pool ) ) ) , ) ( holding ( a ( plastic dinosaur ) ) ) ) . ) )","(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VBD underwater) (PP (IN in) (NP (DT a) (NN pool))) (, ,) (S (VP (VBG holding) (NP (DT a) (JJ plastic) (NN dinosaur))))) (. .)))",Small boy in pool holds toy.,( ( ( Small boy ) ( in pool ) ) ( ( holds toy ) . ) ),(ROOT (S (NP (NP (JJ Small) (NN boy)) (PP (IN in) (NP (NN pool)))) (VP (VBZ holds) (NP (NN toy))) (. .))) +612,['contradiction'],897621891.jpg#1,contradiction,897621891.jpg#1r1c,A little boy swimming underwater with a toy in his hand.,( ( ( A ( little boy ) ) ( ( swimming underwater ) ( with ( ( a toy ) ( in ( his hand ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ little) (NN boy)) (VP (VBG swimming) (ADVP (RB underwater)) (PP (IN with) (NP (NP (DT a) (NN toy)) (PP (IN in) (NP (PRP$ his) (NN hand)))))) (. .))),A little boy is chasing a dog.,( ( A ( little boy ) ) ( ( is ( chasing ( a dog ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VBZ is) (VP (VBG chasing) (NP (DT a) (NN dog)))) (. .))) +613,['neutral'],897621891.jpg#1,neutral,897621891.jpg#1r1n,A little boy swimming underwater with a toy in his hand.,( ( ( A ( little boy ) ) ( ( swimming underwater ) ( with ( ( a toy ) ( in ( his hand ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ little) (NN boy)) (VP (VBG swimming) (ADVP (RB underwater)) (PP (IN with) (NP (NP (DT a) (NN toy)) (PP (IN in) (NP (PRP$ his) (NN hand)))))) (. .))),A little boy is holding a pool ring.,( ( A ( little boy ) ) ( ( is ( holding ( a ( pool ring ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VBZ is) (VP (VBG holding) (NP (DT a) (NN pool) (NN ring)))) (. .))) +614,['entailment'],897621891.jpg#1,entailment,897621891.jpg#1r1e,A little boy swimming underwater with a toy in his hand.,( ( ( A ( little boy ) ) ( ( swimming underwater ) ( with ( ( a toy ) ( in ( his hand ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ little) (NN boy)) (VP (VBG swimming) (ADVP (RB underwater)) (PP (IN with) (NP (NP (DT a) (NN toy)) (PP (IN in) (NP (PRP$ his) (NN hand)))))) (. .))),A little boy is underwater.,( ( A ( little boy ) ) ( ( is underwater ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VBZ is) (NP (RB underwater))) (. .))) +615,['neutral'],2521788750.jpg#1,neutral,2521788750.jpg#1r1n,A man wearing a white shire shirt and hate is riding a bucking horse in a rodeo.,( ( ( A man ) ( wearing ( ( ( a ( white ( shire shirt ) ) ) and ) hate ) ) ) ( ( is ( riding ( ( a ( bucking horse ) ) ( in ( a rodeo ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (JJ white) (NN shire) (NN shirt)) (CC and) (NP (NN hate))))) (VP (VBZ is) (VP (VBG riding) (NP (NP (DT a) (JJ bucking) (NN horse)) (PP (IN in) (NP (DT a) (NN rodeo)))))) (. .))),A man is riding in his first rodeo.,( ( A man ) ( ( is ( riding ( in ( his ( first rodeo ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG riding) (PP (IN in) (NP (PRP$ his) (JJ first) (NN rodeo))))) (. .))) +616,['contradiction'],2521788750.jpg#1,contradiction,2521788750.jpg#1r1c,A man wearing a white shire shirt and hate is riding a bucking horse in a rodeo.,( ( ( A man ) ( wearing ( ( ( a ( white ( shire shirt ) ) ) and ) hate ) ) ) ( ( is ( riding ( ( a ( bucking horse ) ) ( in ( a rodeo ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (JJ white) (NN shire) (NN shirt)) (CC and) (NP (NN hate))))) (VP (VBZ is) (VP (VBG riding) (NP (NP (DT a) (JJ bucking) (NN horse)) (PP (IN in) (NP (DT a) (NN rodeo)))))) (. .))),A rodeo clown chases a bull.,( ( A ( rodeo clown ) ) ( ( chases ( a bull ) ) . ) ),(ROOT (S (NP (DT A) (NN rodeo) (NN clown)) (VP (VBZ chases) (NP (DT a) (NN bull))) (. .))) +617,['entailment'],2521788750.jpg#1,entailment,2521788750.jpg#1r1e,A man wearing a white shire shirt and hate is riding a bucking horse in a rodeo.,( ( ( A man ) ( wearing ( ( ( a ( white ( shire shirt ) ) ) and ) hate ) ) ) ( ( is ( riding ( ( a ( bucking horse ) ) ( in ( a rodeo ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (JJ white) (NN shire) (NN shirt)) (CC and) (NP (NN hate))))) (VP (VBZ is) (VP (VBG riding) (NP (NP (DT a) (JJ bucking) (NN horse)) (PP (IN in) (NP (DT a) (NN rodeo)))))) (. .))),A man is being bucked on a horse.,( ( A man ) ( ( is ( being ( bucked ( on ( a horse ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG being) (VP (VBD bucked) (PP (IN on) (NP (DT a) (NN horse)))))) (. .))) +618,['entailment'],2521788750.jpg#0,entailment,2521788750.jpg#0r1e,"A saddle bronc rider gets lifted out of the saddle, but keeps his grip during his ride.","( ( A ( saddle ( bronc rider ) ) ) ( ( ( ( ( gets ( ( lifted out ) ( of ( the saddle ) ) ) ) , ) but ) ( ( keeps ( his grip ) ) ( during ( his ride ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN saddle) (NN bronc) (NN rider)) (VP (VP (VBZ gets) (VP (VBN lifted) (PRT (RP out)) (PP (IN of) (NP (DT the) (NN saddle))))) (, ,) (CC but) (VP (VBZ keeps) (NP (PRP$ his) (NN grip)) (PP (IN during) (NP (PRP$ his) (NN ride))))) (. .)))",The man rides an animal.,( ( The man ) ( ( rides ( an animal ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBD rides) (NP (DT an) (NN animal))) (. .))) +619,['neutral'],2521788750.jpg#0,neutral,2521788750.jpg#0r1n,"A saddle bronc rider gets lifted out of the saddle, but keeps his grip during his ride.","( ( A ( saddle ( bronc rider ) ) ) ( ( ( ( ( gets ( ( lifted out ) ( of ( the saddle ) ) ) ) , ) but ) ( ( keeps ( his grip ) ) ( during ( his ride ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN saddle) (NN bronc) (NN rider)) (VP (VP (VBZ gets) (VP (VBN lifted) (PRT (RP out)) (PP (IN of) (NP (DT the) (NN saddle))))) (, ,) (CC but) (VP (VBZ keeps) (NP (PRP$ his) (NN grip)) (PP (IN during) (NP (PRP$ his) (NN ride))))) (. .)))",The man is trying not to fall.,( ( The man ) ( ( is ( trying ( not ( to fall ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG trying) (S (RB not) (VP (TO to) (VP (VB fall)))))) (. .))) +620,['contradiction'],2521788750.jpg#0,contradiction,2521788750.jpg#0r1c,"A saddle bronc rider gets lifted out of the saddle, but keeps his grip during his ride.","( ( A ( saddle ( bronc rider ) ) ) ( ( ( ( ( gets ( ( lifted out ) ( of ( the saddle ) ) ) ) , ) but ) ( ( keeps ( his grip ) ) ( during ( his ride ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN saddle) (NN bronc) (NN rider)) (VP (VP (VBZ gets) (VP (VBN lifted) (PRT (RP out)) (PP (IN of) (NP (DT the) (NN saddle))))) (, ,) (CC but) (VP (VBZ keeps) (NP (PRP$ his) (NN grip)) (PP (IN during) (NP (PRP$ his) (NN ride))))) (. .)))",The man is riding a motorcycle.,( ( The man ) ( ( is ( riding ( a motorcycle ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG riding) (NP (DT a) (NN motorcycle)))) (. .))) +621,['neutral'],2892843393.jpg#3,neutral,2892843393.jpg#3r1n,a woman with a straw hat working on a strange machine with coconuts at her side.,( ( ( ( a woman ) ( with ( a ( straw hat ) ) ) ) ( ( working ( on ( a ( strange machine ) ) ) ) ( with ( coconuts ( at ( her side ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT a) (NN woman)) (PP (IN with) (NP (DT a) (NN straw) (NN hat)))) (VP (VBG working) (PP (IN on) (NP (DT a) (JJ strange) (NN machine))) (PP (IN with) (NP (NP (NNS coconuts)) (PP (IN at) (NP (PRP$ her) (NN side)))))) (. .))),A woman is using a machine to make coconut milk.,( ( A woman ) ( ( is ( using ( a ( machine ( to ( make ( coconut milk ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG using) (NP (DT a) (NN machine) (S (VP (TO to) (VP (VB make) (NP (JJ coconut) (NN milk)))))))) (. .))) +622,['contradiction'],2892843393.jpg#3,contradiction,2892843393.jpg#3r1c,a woman with a straw hat working on a strange machine with coconuts at her side.,( ( ( ( a woman ) ( with ( a ( straw hat ) ) ) ) ( ( working ( on ( a ( strange machine ) ) ) ) ( with ( coconuts ( at ( her side ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT a) (NN woman)) (PP (IN with) (NP (DT a) (NN straw) (NN hat)))) (VP (VBG working) (PP (IN on) (NP (DT a) (JJ strange) (NN machine))) (PP (IN with) (NP (NP (NNS coconuts)) (PP (IN at) (NP (PRP$ her) (NN side)))))) (. .))),A woman is sitting on the couch.,( ( A woman ) ( ( is ( sitting ( on ( the couch ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT the) (NN couch))))) (. .))) +623,['entailment'],2892843393.jpg#3,entailment,2892843393.jpg#3r1e,a woman with a straw hat working on a strange machine with coconuts at her side.,( ( ( ( a woman ) ( with ( a ( straw hat ) ) ) ) ( ( working ( on ( a ( strange machine ) ) ) ) ( with ( coconuts ( at ( her side ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT a) (NN woman)) (PP (IN with) (NP (DT a) (NN straw) (NN hat)))) (VP (VBG working) (PP (IN on) (NP (DT a) (JJ strange) (NN machine))) (PP (IN with) (NP (NP (NNS coconuts)) (PP (IN at) (NP (PRP$ her) (NN side)))))) (. .))),A woman is at a machine.,( ( A woman ) ( ( is ( at ( a machine ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (PP (IN at) (NP (DT a) (NN machine)))) (. .))) +624,['contradiction'],2892843393.jpg#2,contradiction,2892843393.jpg#2r1c,A man wearing a rice hat is shucking corn using a corn shucker and is surrounded by trees.,( ( ( A man ) ( wearing ( a ( rice hat ) ) ) ) ( ( ( ( is ( ( shucking corn ) ( using ( a ( corn shucker ) ) ) ) ) and ) ( is ( surrounded ( by trees ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (NN rice) (NN hat)))) (VP (VP (VBZ is) (VP (VBG shucking) (NP (NN corn)) (S (VP (VBG using) (NP (DT a) (NN corn) (NN shucker)))))) (CC and) (VP (VBZ is) (VP (VBN surrounded) (PP (IN by) (NP (NNS trees)))))) (. .))),The man is boiling a pot of corn.,( ( The man ) ( ( is ( boiling ( ( a pot ) ( of corn ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG boiling) (NP (NP (DT a) (NN pot)) (PP (IN of) (NP (NN corn)))))) (. .))) +625,['entailment'],2892843393.jpg#2,entailment,2892843393.jpg#2r1e,A man wearing a rice hat is shucking corn using a corn shucker and is surrounded by trees.,( ( ( A man ) ( wearing ( a ( rice hat ) ) ) ) ( ( ( ( is ( ( shucking corn ) ( using ( a ( corn shucker ) ) ) ) ) and ) ( is ( surrounded ( by trees ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (NN rice) (NN hat)))) (VP (VP (VBZ is) (VP (VBG shucking) (NP (NN corn)) (S (VP (VBG using) (NP (DT a) (NN corn) (NN shucker)))))) (CC and) (VP (VBZ is) (VP (VBN surrounded) (PP (IN by) (NP (NNS trees)))))) (. .))),There is a person processing vegetables.,( There ( ( is ( ( a person ) ( processing vegetables ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN person)) (VP (VBG processing) (NP (NNS vegetables))))) (. .))) +626,['neutral'],2892843393.jpg#2,neutral,2892843393.jpg#2r1n,A man wearing a rice hat is shucking corn using a corn shucker and is surrounded by trees.,( ( ( A man ) ( wearing ( a ( rice hat ) ) ) ) ( ( ( ( is ( ( shucking corn ) ( using ( a ( corn shucker ) ) ) ) ) and ) ( is ( surrounded ( by trees ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (NN rice) (NN hat)))) (VP (VP (VBZ is) (VP (VBG shucking) (NP (NN corn)) (S (VP (VBG using) (NP (DT a) (NN corn) (NN shucker)))))) (CC and) (VP (VBZ is) (VP (VBN surrounded) (PP (IN by) (NP (NNS trees)))))) (. .))),A man is shucking a large pile of corn.,( ( A man ) ( ( is ( shucking ( ( a ( large pile ) ) ( of corn ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG shucking) (NP (NP (DT a) (JJ large) (NN pile)) (PP (IN of) (NP (NN corn)))))) (. .))) +627,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",2892843393.jpg#0,neutral,2892843393.jpg#0r1n,a woman wearing a Chinese straw hat operating some sort of stainless steel machine in what appears to be a park.,( ( ( a woman ) ( ( wearing ( a ( Chinese ( straw hat ) ) ) ) ( operating ( ( some sort ) ( of ( ( stainless ( steel machine ) ) ( in what ) ) ) ) ) ) ) ( ( appears ( to ( be ( a park ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ Chinese) (NN straw) (NN hat)) (S (VP (VBG operating) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NP (JJ stainless) (NN steel) (NN machine)) (PP (IN in) (NP (WP what)))))))))) (VP (VBZ appears) (S (VP (TO to) (VP (VB be) (NP (DT a) (NN park)))))) (. .))),The woman is making jewelry at the park.,( ( The woman ) ( ( is ( ( making jewelry ) ( at ( the park ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG making) (NP (NN jewelry)) (PP (IN at) (NP (DT the) (NN park))))) (. .))) +628,['contradiction'],2892843393.jpg#0,contradiction,2892843393.jpg#0r1c,a woman wearing a Chinese straw hat operating some sort of stainless steel machine in what appears to be a park.,( ( ( a woman ) ( ( wearing ( a ( Chinese ( straw hat ) ) ) ) ( operating ( ( some sort ) ( of ( ( stainless ( steel machine ) ) ( in what ) ) ) ) ) ) ) ( ( appears ( to ( be ( a park ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ Chinese) (NN straw) (NN hat)) (S (VP (VBG operating) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NP (JJ stainless) (NN steel) (NN machine)) (PP (IN in) (NP (WP what)))))))))) (VP (VBZ appears) (S (VP (TO to) (VP (VB be) (NP (DT a) (NN park)))))) (. .))),The woman has a small child trapped in the machine who sews clothes.,( ( The woman ) ( ( has ( ( a ( small child ) ) ( trapped ( in ( ( the machine ) ( who ( sews clothes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ has) (NP (NP (DT a) (JJ small) (NN child)) (VP (VBN trapped) (PP (IN in) (NP (NP (DT the) (NN machine)) (SBAR (WHNP (WP who)) (S (VP (VBZ sews) (NP (NNS clothes)))))))))) (. .))) +629,['entailment'],2892843393.jpg#0,entailment,2892843393.jpg#0r1e,a woman wearing a Chinese straw hat operating some sort of stainless steel machine in what appears to be a park.,( ( ( a woman ) ( ( wearing ( a ( Chinese ( straw hat ) ) ) ) ( operating ( ( some sort ) ( of ( ( stainless ( steel machine ) ) ( in what ) ) ) ) ) ) ) ( ( appears ( to ( be ( a park ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ Chinese) (NN straw) (NN hat)) (S (VP (VBG operating) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NP (JJ stainless) (NN steel) (NN machine)) (PP (IN in) (NP (WP what)))))))))) (VP (VBZ appears) (S (VP (TO to) (VP (VB be) (NP (DT a) (NN park)))))) (. .))),The woman is outdoors with a machine.,( ( The woman ) ( ( ( is outdoors ) ( with ( a machine ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (ADVP (RB outdoors)) (PP (IN with) (NP (DT a) (NN machine)))) (. .))) +630,['contradiction'],2892843393.jpg#4,contradiction,2892843393.jpg#4r1c,A woman on the side of a street is making food on her cart.,( ( ( A woman ) ( on ( ( the side ) ( of ( a street ) ) ) ) ) ( ( is ( ( making food ) ( on ( her cart ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN on) (NP (NP (DT the) (NN side)) (PP (IN of) (NP (DT a) (NN street)))))) (VP (VBZ is) (VP (VBG making) (NP (NN food)) (PP (IN on) (NP (PRP$ her) (NN cart))))) (. .))),A child is wearing a bandana.,( ( A child ) ( ( is ( wearing ( a bandana ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN bandana)))) (. .))) +631,['neutral'],2892843393.jpg#4,neutral,2892843393.jpg#4r1n,A woman on the side of a street is making food on her cart.,( ( ( A woman ) ( on ( ( the side ) ( of ( a street ) ) ) ) ) ( ( is ( ( making food ) ( on ( her cart ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN on) (NP (NP (DT the) (NN side)) (PP (IN of) (NP (DT a) (NN street)))))) (VP (VBZ is) (VP (VBG making) (NP (NN food)) (PP (IN on) (NP (PRP$ her) (NN cart))))) (. .))),A person is cooking mexican food.,( ( A person ) ( ( is ( cooking ( mexican food ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG cooking) (NP (NN mexican) (NN food)))) (. .))) +632,['entailment'],2892843393.jpg#4,entailment,2892843393.jpg#4r1e,A woman on the side of a street is making food on her cart.,( ( ( A woman ) ( on ( ( the side ) ( of ( a street ) ) ) ) ) ( ( is ( ( making food ) ( on ( her cart ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN on) (NP (NP (DT the) (NN side)) (PP (IN of) (NP (DT a) (NN street)))))) (VP (VBZ is) (VP (VBG making) (NP (NN food)) (PP (IN on) (NP (PRP$ her) (NN cart))))) (. .))),A person is cooking.,( ( A person ) ( ( is cooking ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG cooking))) (. .))) +633,['contradiction'],4713654516.jpg#1,contradiction,4713654516.jpg#1r1c,A man in blue shorts and without a shirt is jogging down the road while listening to his iPod.,( ( ( A man ) ( ( ( in ( blue shorts ) ) and ) ( without ( a shirt ) ) ) ) ( ( is ( ( ( jogging down ) ( the road ) ) ( while ( listening ( to ( his iPod ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (PP (IN in) (NP (JJ blue) (NNS shorts))) (CC and) (PP (IN without) (NP (DT a) (NN shirt))))) (VP (VBZ is) (VP (VBG jogging) (PRT (RP down)) (NP (DT the) (NN road)) (PP (IN while) (S (VP (VBG listening) (PP (TO to) (NP (PRP$ his) (NN iPod)))))))) (. .))),The man is wearing a blue shirt.,( ( The man ) ( ( is ( wearing ( a ( blue shirt ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt)))) (. .))) +634,['entailment'],4713654516.jpg#1,entailment,4713654516.jpg#1r1e,A man in blue shorts and without a shirt is jogging down the road while listening to his iPod.,( ( ( A man ) ( ( ( in ( blue shorts ) ) and ) ( without ( a shirt ) ) ) ) ( ( is ( ( ( jogging down ) ( the road ) ) ( while ( listening ( to ( his iPod ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (PP (IN in) (NP (JJ blue) (NNS shorts))) (CC and) (PP (IN without) (NP (DT a) (NN shirt))))) (VP (VBZ is) (VP (VBG jogging) (PRT (RP down)) (NP (DT the) (NN road)) (PP (IN while) (S (VP (VBG listening) (PP (TO to) (NP (PRP$ his) (NN iPod)))))))) (. .))),The man is running.,( ( The man ) ( ( is running ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG running))) (. .))) +635,['neutral'],4713654516.jpg#1,neutral,4713654516.jpg#1r1n,A man in blue shorts and without a shirt is jogging down the road while listening to his iPod.,( ( ( A man ) ( ( ( in ( blue shorts ) ) and ) ( without ( a shirt ) ) ) ) ( ( is ( ( ( jogging down ) ( the road ) ) ( while ( listening ( to ( his iPod ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (PP (IN in) (NP (JJ blue) (NNS shorts))) (CC and) (PP (IN without) (NP (DT a) (NN shirt))))) (VP (VBZ is) (VP (VBG jogging) (PRT (RP down)) (NP (DT the) (NN road)) (PP (IN while) (S (VP (VBG listening) (PP (TO to) (NP (PRP$ his) (NN iPod)))))))) (. .))),The man is wearing headphones.,( ( The man ) ( ( is ( wearing headphones ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG wearing) (NP (NNS headphones)))) (. .))) +636,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",6808423201.jpg#1,entailment,6808423201.jpg#1r1e,Women exercising one woman has a green mat and black outfit on.,( ( Women ( exercising ( one woman ) ) ) ( ( ( has ( ( ( a ( green mat ) ) and ) ( black outfit ) ) ) on ) . ) ),(ROOT (S (NP (NP (NNS Women)) (VP (VBG exercising) (NP (CD one) (NN woman)))) (VP (VBZ has) (NP (NP (DT a) (JJ green) (NN mat)) (CC and) (NP (JJ black) (NN outfit))) (PP (IN on))) (. .))),The women are exercising.,( ( The women ) ( ( are exercising ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP are) (VP (VBG exercising))) (. .))) +637,['contradiction'],6808423201.jpg#1,contradiction,6808423201.jpg#1r1c,Women exercising one woman has a green mat and black outfit on.,( ( Women ( exercising ( one woman ) ) ) ( ( ( has ( ( ( a ( green mat ) ) and ) ( black outfit ) ) ) on ) . ) ),(ROOT (S (NP (NP (NNS Women)) (VP (VBG exercising) (NP (CD one) (NN woman)))) (VP (VBZ has) (NP (NP (DT a) (JJ green) (NN mat)) (CC and) (NP (JJ black) (NN outfit))) (PP (IN on))) (. .))),The women are both dressing in green.,( ( The women ) ( ( are ( ( both dressing ) ( in green ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP are) (NP (NP (DT both) (NN dressing)) (PP (IN in) (NP (NN green))))) (. .))) +638,['neutral'],6808423201.jpg#1,neutral,6808423201.jpg#1r1n,Women exercising one woman has a green mat and black outfit on.,( ( Women ( exercising ( one woman ) ) ) ( ( ( has ( ( ( a ( green mat ) ) and ) ( black outfit ) ) ) on ) . ) ),(ROOT (S (NP (NP (NNS Women)) (VP (VBG exercising) (NP (CD one) (NN woman)))) (VP (VBZ has) (NP (NP (DT a) (JJ green) (NN mat)) (CC and) (NP (JJ black) (NN outfit))) (PP (IN on))) (. .))),The women are doing yoga.,( ( The women ) ( ( are ( doing yoga ) ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP are) (VP (VBG doing) (NP (NN yoga)))) (. .))) +639,['neutral'],6808423201.jpg#2,neutral,6808423201.jpg#2r1n,Students practicing yoga in a class setting.,( ( Students ( ( practicing yoga ) ( in ( a ( class setting ) ) ) ) ) . ),(ROOT (NP (NP (NNS Students)) (VP (VBG practicing) (NP (NN yoga)) (PP (IN in) (NP (DT a) (NN class) (NN setting)))) (. .))),The students are taking a beginners' yoga class.,( ( The students ) ( ( are ( taking ( ( a ( beginners ' ) ) ( yoga class ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS students)) (VP (VBP are) (VP (VBG taking) (NP (NP (DT a) (NNS beginners) (POS ')) (NN yoga) (NN class)))) (. .))) +640,['contradiction'],6808423201.jpg#2,contradiction,6808423201.jpg#2r1c,Students practicing yoga in a class setting.,( ( Students ( ( practicing yoga ) ( in ( a ( class setting ) ) ) ) ) . ),(ROOT (NP (NP (NNS Students)) (VP (VBG practicing) (NP (NN yoga)) (PP (IN in) (NP (DT a) (NN class) (NN setting)))) (. .))),The students solve equations on the board.,( ( The students ) ( ( ( solve equations ) ( on ( the board ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS students)) (VP (VB solve) (NP (NNS equations)) (PP (IN on) (NP (DT the) (NN board)))) (. .))) +641,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",6808423201.jpg#2,entailment,6808423201.jpg#2r1e,Students practicing yoga in a class setting.,( ( Students ( ( practicing yoga ) ( in ( a ( class setting ) ) ) ) ) . ),(ROOT (NP (NP (NNS Students)) (VP (VBG practicing) (NP (NN yoga)) (PP (IN in) (NP (DT a) (NN class) (NN setting)))) (. .))),A yoga class is in progress.,( ( A ( yoga class ) ) ( ( is ( in progress ) ) . ) ),(ROOT (S (NP (DT A) (NN yoga) (NN class)) (VP (VBZ is) (PP (IN in) (NP (NN progress)))) (. .))) +642,['neutral'],6808423201.jpg#3,neutral,6808423201.jpg#3r1n,People are stretching on yoga mats.,( People ( ( are ( stretching ( on ( yoga mats ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG stretching) (PP (IN on) (NP (NN yoga) (NNS mats))))) (. .))),They stretched on yoga mats outside.,( They ( ( ( stretched ( on ( yoga mats ) ) ) outside ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBD stretched) (PP (IN on) (NP (NN yoga) (NNS mats))) (ADVP (RB outside))) (. .))) +643,['entailment'],6808423201.jpg#3,entailment,6808423201.jpg#3r1e,People are stretching on yoga mats.,( People ( ( are ( stretching ( on ( yoga mats ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG stretching) (PP (IN on) (NP (NN yoga) (NNS mats))))) (. .))),The people stretched on yoga mats.,( ( The people ) ( ( stretched ( on ( yoga mats ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBD stretched) (PP (IN on) (NP (NN yoga) (NNS mats)))) (. .))) +644,['contradiction'],6808423201.jpg#3,contradiction,6808423201.jpg#3r1c,People are stretching on yoga mats.,( People ( ( are ( stretching ( on ( yoga mats ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG stretching) (PP (IN on) (NP (NN yoga) (NNS mats))))) (. .))),They stretched on bikes.,( They ( ( stretched ( on bikes ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBD stretched) (PP (IN on) (NP (NNS bikes)))) (. .))) +645,['entailment'],6808423201.jpg#4,entailment,6808423201.jpg#4r1e,A group of people are doing yoga.,( ( ( A group ) ( of people ) ) ( ( are ( doing yoga ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG doing) (NP (NN yoga)))) (. .))),The people are doing yoga,( ( The people ) ( are ( doing yoga ) ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG doing) (NP (NN yoga)))))) +646,['neutral'],6808423201.jpg#4,neutral,6808423201.jpg#4r1n,A group of people are doing yoga.,( ( ( A group ) ( of people ) ) ( ( are ( doing yoga ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG doing) (NP (NN yoga)))) (. .))),The people are working out,( ( The people ) ( are ( working out ) ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG working) (PRT (RP out)))))) +647,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",6808423201.jpg#4,contradiction,6808423201.jpg#4r1c,A group of people are doing yoga.,( ( ( A group ) ( of people ) ) ( ( are ( doing yoga ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG doing) (NP (NN yoga)))) (. .))),The people are sleep.,( ( The people ) ( ( are sleep ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (NN sleep))) (. .))) +648,['contradiction'],2719101587.jpg#1,contradiction,2719101587.jpg#1r1c,Motorcyclist performing while two men watch.,( ( Motorcyclist ( performing ( while ( ( two men ) watch ) ) ) ) . ),(ROOT (S (VP (VB Motorcyclist) (S (VP (VBG performing) (SBAR (IN while) (S (NP (CD two) (NNS men)) (VP (VBP watch))))))) (. .))),Two women are walking with strollers.,( ( Two women ) ( ( are ( walking ( with strollers ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS women)) (VP (VBP are) (VP (VBG walking) (PP (IN with) (NP (NNS strollers))))) (. .))) +649,['entailment'],2719101587.jpg#1,entailment,2719101587.jpg#1r1e,Motorcyclist performing while two men watch.,( ( Motorcyclist ( performing ( while ( ( two men ) watch ) ) ) ) . ),(ROOT (S (VP (VB Motorcyclist) (S (VP (VBG performing) (SBAR (IN while) (S (NP (CD two) (NNS men)) (VP (VBP watch))))))) (. .))),Men watching motorcyclist.,( ( Men ( watching motorcyclist ) ) . ),(ROOT (NP (NP (NNS Men)) (VP (VBG watching) (NP (NN motorcyclist))) (. .))) +650,['neutral'],2719101587.jpg#1,neutral,2719101587.jpg#1r1n,Motorcyclist performing while two men watch.,( ( Motorcyclist ( performing ( while ( ( two men ) watch ) ) ) ) . ),(ROOT (S (VP (VB Motorcyclist) (S (VP (VBG performing) (SBAR (IN while) (S (NP (CD two) (NNS men)) (VP (VBP watch))))))) (. .))),Motorcylist performing in annual race.,( ( Motorcylist ( performing ( in ( annual race ) ) ) ) . ),(ROOT (S (VP (VB Motorcylist) (S (VP (VBG performing) (PP (IN in) (NP (JJ annual) (NN race)))))) (. .))) +651,['contradiction'],2735558076.jpg#3,contradiction,2735558076.jpg#3r1c,The young man is waiting with others on the sidewalk.,( ( The ( young man ) ) ( ( is ( waiting ( with ( others ( on ( the sidewalk ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ young) (NN man)) (VP (VBZ is) (VP (VBG waiting) (PP (IN with) (NP (NP (NNS others)) (PP (IN on) (NP (DT the) (NN sidewalk))))))) (. .))),The girls are climbing a tree,( ( The girls ) ( are ( climbing ( a tree ) ) ) ),(ROOT (S (NP (DT The) (NNS girls)) (VP (VBP are) (VP (VBG climbing) (NP (DT a) (NN tree)))))) +652,['neutral'],2735558076.jpg#3,neutral,2735558076.jpg#3r1n,The young man is waiting with others on the sidewalk.,( ( The ( young man ) ) ( ( is ( waiting ( with ( others ( on ( the sidewalk ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ young) (NN man)) (VP (VBZ is) (VP (VBG waiting) (PP (IN with) (NP (NP (NNS others)) (PP (IN on) (NP (DT the) (NN sidewalk))))))) (. .))),There is a young person talking with others near the bustop,( There ( is ( ( a ( young person ) ) ( talking ( with ( others ( near ( the bustop ) ) ) ) ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (JJ young) (NN person)) (VP (VBG talking) (PP (IN with) (NP (NP (NNS others)) (PP (IN near) (NP (DT the) (NN bustop)))))))))) +653,['entailment'],2735558076.jpg#3,entailment,2735558076.jpg#3r1e,The young man is waiting with others on the sidewalk.,( ( The ( young man ) ) ( ( is ( waiting ( with ( others ( on ( the sidewalk ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ young) (NN man)) (VP (VBZ is) (VP (VBG waiting) (PP (IN with) (NP (NP (NNS others)) (PP (IN on) (NP (DT the) (NN sidewalk))))))) (. .))),there is a group of people waiting outside,( there ( is ( ( a group ) ( of ( people ( waiting outside ) ) ) ) ) ),(ROOT (S (NP (EX there)) (VP (VBZ is) (NP (NP (DT a) (NN group)) (PP (IN of) (NP (NP (NNS people)) (VP (VBG waiting) (ADVP (RB outside))))))))) +654,['entailment'],390902331.jpg#4,entailment,390902331.jpg#4r1e,Two people pose for the camera.,( ( Two people ) ( ( pose ( for ( the camera ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP pose) (PP (IN for) (NP (DT the) (NN camera)))) (. .))),People pose for a picture.,( People ( ( pose ( for ( a picture ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP pose) (PP (IN for) (NP (DT a) (NN picture)))) (. .))) +655,['neutral'],390902331.jpg#4,neutral,390902331.jpg#4r1n,Two people pose for the camera.,( ( Two people ) ( ( pose ( for ( the camera ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP pose) (PP (IN for) (NP (DT the) (NN camera)))) (. .))),People pose for a family picture.,( People ( ( pose ( for ( a ( family picture ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP pose) (PP (IN for) (NP (DT a) (NN family) (NN picture)))) (. .))) +656,['contradiction'],390902331.jpg#4,contradiction,390902331.jpg#4r1c,Two people pose for the camera.,( ( Two people ) ( ( pose ( for ( the camera ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP pose) (PP (IN for) (NP (DT the) (NN camera)))) (. .))),Two people are yelling.,( ( Two people ) ( ( are yelling ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (VP (VBG yelling))) (. .))) +657,['entailment'],4923271886.jpg#4,entailment,4923271886.jpg#4r1e,A man is sleeping on the grass.,( ( A man ) ( ( is ( sleeping ( on ( the grass ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sleeping) (PP (IN on) (NP (DT the) (NN grass))))) (. .))),The man is laying down to sleep,( ( The man ) ( is ( ( laying down ) ( to sleep ) ) ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG laying) (PRT (RP down)) (S (VP (TO to) (VP (VB sleep)))))))) +658,['contradiction'],4923271886.jpg#4,contradiction,4923271886.jpg#4r1c,A man is sleeping on the grass.,( ( A man ) ( ( is ( sleeping ( on ( the grass ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sleeping) (PP (IN on) (NP (DT the) (NN grass))))) (. .))),The man is checking into a 4 star hotel,( ( The man ) ( is ( checking ( into ( a ( 4 ( star hotel ) ) ) ) ) ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG checking) (PP (IN into) (NP (DT a) (CD 4) (NN star) (NN hotel))))))) +659,['neutral'],4923271886.jpg#4,neutral,4923271886.jpg#4r1n,A man is sleeping on the grass.,( ( A man ) ( ( is ( sleeping ( on ( the grass ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sleeping) (PP (IN on) (NP (DT the) (NN grass))))) (. .))),The man is sleeping on the grass because he is homeless,( ( The man ) ( is ( ( sleeping ( on ( the grass ) ) ) ( because ( he ( is homeless ) ) ) ) ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG sleeping) (PP (IN on) (NP (DT the) (NN grass))) (SBAR (IN because) (S (NP (PRP he)) (VP (VBZ is) (ADJP (JJ homeless))))))))) +660,['entailment'],3028561714.jpg#1,entailment,3028561714.jpg#1r1e,A white and brown dog is leaping through the air.,( ( A ( ( ( white and ) brown ) dog ) ) ( ( is ( leaping ( through ( the air ) ) ) ) . ) ),(ROOT (S (NP (DT A) (ADJP (JJ white) (CC and) (JJ brown)) (NN dog)) (VP (VBZ is) (VP (VBG leaping) (PP (IN through) (NP (DT the) (NN air))))) (. .))),The white and brown dog is in the air.,( ( The ( ( ( white and ) brown ) dog ) ) ( ( is ( in ( the air ) ) ) . ) ),(ROOT (S (NP (DT The) (ADJP (JJ white) (CC and) (JJ brown)) (NN dog)) (VP (VBZ is) (PP (IN in) (NP (DT the) (NN air)))) (. .))) +661,['contradiction'],3028561714.jpg#1,contradiction,3028561714.jpg#1r1c,A white and brown dog is leaping through the air.,( ( A ( ( ( white and ) brown ) dog ) ) ( ( is ( leaping ( through ( the air ) ) ) ) . ) ),(ROOT (S (NP (DT A) (ADJP (JJ white) (CC and) (JJ brown)) (NN dog)) (VP (VBZ is) (VP (VBG leaping) (PP (IN through) (NP (DT the) (NN air))))) (. .))),The dog is taking a nap.,( ( The dog ) ( ( is ( taking ( a nap ) ) ) . ) ),(ROOT (S (NP (DT The) (NN dog)) (VP (VBZ is) (VP (VBG taking) (NP (DT a) (NN nap)))) (. .))) +662,['neutral'],3028561714.jpg#1,neutral,3028561714.jpg#1r1n,A white and brown dog is leaping through the air.,( ( A ( ( ( white and ) brown ) dog ) ) ( ( is ( leaping ( through ( the air ) ) ) ) . ) ),(ROOT (S (NP (DT A) (ADJP (JJ white) (CC and) (JJ brown)) (NN dog)) (VP (VBZ is) (VP (VBG leaping) (PP (IN through) (NP (DT the) (NN air))))) (. .))),The dog is catching a frisbee.,( ( The dog ) ( ( is ( catching ( a frisbee ) ) ) . ) ),(ROOT (S (NP (DT The) (NN dog)) (VP (VBZ is) (VP (VBG catching) (NP (DT a) (NN frisbee)))) (. .))) +663,"['contradiction', 'entailment', 'contradiction', 'neutral', 'contradiction']",2735558076.jpg#0,contradiction,2735558076.jpg#0r1c,A row of legs and black boots with a boy sitting at the end of the row.,( ( ( ( ( ( A row ) ( of legs ) ) and ) ( ( black boots ) ( with ( a boy ) ) ) ) ( sitting ( at ( ( the end ) ( of ( the row ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (NP (DT A) (NN row)) (PP (IN of) (NP (NNS legs)))) (CC and) (NP (NP (JJ black) (NNS boots)) (PP (IN with) (NP (DT a) (NN boy))))) (VP (VBG sitting) (PP (IN at) (NP (NP (DT the) (NN end)) (PP (IN of) (NP (DT the) (NN row)))))) (. .))),A young boy eats a sandwich.,( ( A ( young boy ) ) ( ( eats ( a sandwich ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN boy)) (VP (VBZ eats) (NP (DT a) (NN sandwich))) (. .))) +664,['neutral'],2735558076.jpg#0,neutral,2735558076.jpg#0r1n,A row of legs and black boots with a boy sitting at the end of the row.,( ( ( ( ( ( A row ) ( of legs ) ) and ) ( ( black boots ) ( with ( a boy ) ) ) ) ( sitting ( at ( ( the end ) ( of ( the row ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (NP (DT A) (NN row)) (PP (IN of) (NP (NNS legs)))) (CC and) (NP (NP (JJ black) (NNS boots)) (PP (IN with) (NP (DT a) (NN boy))))) (VP (VBG sitting) (PP (IN at) (NP (NP (DT the) (NN end)) (PP (IN of) (NP (DT the) (NN row)))))) (. .))),A young boy sits on the ground in a family picture.,( ( A ( young boy ) ) ( ( sits ( on ( ( the ground ) ( in ( a ( family picture ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN boy)) (VP (VBZ sits) (PP (IN on) (NP (NP (DT the) (NN ground)) (PP (IN in) (NP (DT a) (NN family) (NN picture)))))) (. .))) +665,['entailment'],2735558076.jpg#0,entailment,2735558076.jpg#0r1e,A row of legs and black boots with a boy sitting at the end of the row.,( ( ( ( ( ( A row ) ( of legs ) ) and ) ( ( black boots ) ( with ( a boy ) ) ) ) ( sitting ( at ( ( the end ) ( of ( the row ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (NP (DT A) (NN row)) (PP (IN of) (NP (NNS legs)))) (CC and) (NP (NP (JJ black) (NNS boots)) (PP (IN with) (NP (DT a) (NN boy))))) (VP (VBG sitting) (PP (IN at) (NP (NP (DT the) (NN end)) (PP (IN of) (NP (DT the) (NN row)))))) (. .))),A boy sits at peoples feet.,( ( A boy ) ( ( sits ( at ( peoples feet ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ sits) (PP (IN at) (NP (NNS peoples) (NNS feet)))) (. .))) +666,['entailment'],4923271886.jpg#0,entailment,4923271886.jpg#0r1e,A man in blue lies on a mostly-barren patch of grass while small groups of people congregate in the distance.,( ( ( A man ) ( in blue ) ) ( ( ( lies ( on ( ( a ( mostly-barren patch ) ) ( of grass ) ) ) ) ( while ( ( ( small groups ) ( of people ) ) ( congregate ( in ( the distance ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NN blue)))) (VP (VBZ lies) (PP (IN on) (NP (NP (DT a) (JJ mostly-barren) (NN patch)) (PP (IN of) (NP (NN grass))))) (SBAR (IN while) (S (NP (NP (JJ small) (NNS groups)) (PP (IN of) (NP (NNS people)))) (VP (VB congregate) (PP (IN in) (NP (DT the) (NN distance))))))) (. .))),A man is wearing blue.,( ( A man ) ( ( is ( wearing blue ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG wearing) (ADJP (JJ blue)))) (. .))) +667,['neutral'],4923271886.jpg#0,neutral,4923271886.jpg#0r1n,A man in blue lies on a mostly-barren patch of grass while small groups of people congregate in the distance.,( ( ( A man ) ( in blue ) ) ( ( ( lies ( on ( ( a ( mostly-barren patch ) ) ( of grass ) ) ) ) ( while ( ( ( small groups ) ( of people ) ) ( congregate ( in ( the distance ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NN blue)))) (VP (VBZ lies) (PP (IN on) (NP (NP (DT a) (JJ mostly-barren) (NN patch)) (PP (IN of) (NP (NN grass))))) (SBAR (IN while) (S (NP (NP (JJ small) (NNS groups)) (PP (IN of) (NP (NNS people)))) (VP (VB congregate) (PP (IN in) (NP (DT the) (NN distance))))))) (. .))),The man is tired.,( ( The man ) ( ( is tired ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (ADJP (JJ tired))) (. .))) +668,['contradiction'],4923271886.jpg#0,contradiction,4923271886.jpg#0r1c,A man in blue lies on a mostly-barren patch of grass while small groups of people congregate in the distance.,( ( ( A man ) ( in blue ) ) ( ( ( lies ( on ( ( a ( mostly-barren patch ) ) ( of grass ) ) ) ) ( while ( ( ( small groups ) ( of people ) ) ( congregate ( in ( the distance ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NN blue)))) (VP (VBZ lies) (PP (IN on) (NP (NP (DT a) (JJ mostly-barren) (NN patch)) (PP (IN of) (NP (NN grass))))) (SBAR (IN while) (S (NP (NP (JJ small) (NNS groups)) (PP (IN of) (NP (NNS people)))) (VP (VB congregate) (PP (IN in) (NP (DT the) (NN distance))))))) (. .))),The man is drinking a beer in a pub.,( ( The man ) ( ( is ( drinking ( ( a beer ) ( in ( a pub ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (NP (DT a) (NN beer)) (PP (IN in) (NP (DT a) (NN pub)))))) (. .))) +669,['contradiction'],4923271886.jpg#1,contradiction,4923271886.jpg#1r1c,Various people hanging around outside of a building.,( ( ( Various people ) ( hanging ( around ( outside ( of ( a building ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Various) (NNS people)) (VP (VBG hanging) (PP (IN around) (NP (NP (NN outside)) (PP (IN of) (NP (DT a) (NN building)))))) (. .))),The people are inside playing soccer.,( ( The people ) ( ( ( are inside ) ( playing soccer ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (ADVP (RB inside)) (VP (VBG playing) (NP (NN soccer)))) (. .))) +670,['neutral'],4923271886.jpg#1,neutral,4923271886.jpg#1r1n,Various people hanging around outside of a building.,( ( ( Various people ) ( hanging ( around ( outside ( of ( a building ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Various) (NNS people)) (VP (VBG hanging) (PP (IN around) (NP (NP (NN outside)) (PP (IN of) (NP (DT a) (NN building)))))) (. .))),The people are on lunch break.,( ( The people ) ( ( are ( on ( lunch break ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (PP (IN on) (NP (NN lunch) (NN break)))) (. .))) +671,['entailment'],4923271886.jpg#1,entailment,4923271886.jpg#1r1e,Various people hanging around outside of a building.,( ( ( Various people ) ( hanging ( around ( outside ( of ( a building ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Various) (NNS people)) (VP (VBG hanging) (PP (IN around) (NP (NP (NN outside)) (PP (IN of) (NP (DT a) (NN building)))))) (. .))),There are a group of people are standing outside.,( There ( ( are ( ( a group ) ( of ( people ( are ( standing outside ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (DT a) (NN group)) (PP (IN of) (NP (NP (NNS people)) (SBAR (S (VP (VBP are) (VP (VBG standing) (ADVP (RB outside)))))))))) (. .))) +672,['entailment'],5054184499.jpg#3,entailment,5054184499.jpg#3r1e,A little girl follows two guys with umbrellas down a path.,( ( A ( little girl ) ) ( ( ( follows ( ( two guys ) ( with umbrellas ) ) ) ( down ( a path ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN girl)) (VP (VBZ follows) (NP (NP (CD two) (NNS guys)) (PP (IN with) (NP (NNS umbrellas)))) (PP (IN down) (NP (DT a) (NN path)))) (. .))),The people are outside.,( ( The people ) ( ( are outside ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (ADJP (JJ outside))) (. .))) +673,['contradiction'],5054184499.jpg#3,contradiction,5054184499.jpg#3r1c,A little girl follows two guys with umbrellas down a path.,( ( A ( little girl ) ) ( ( ( follows ( ( two guys ) ( with umbrellas ) ) ) ( down ( a path ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN girl)) (VP (VBZ follows) (NP (NP (CD two) (NNS guys)) (PP (IN with) (NP (NNS umbrellas)))) (PP (IN down) (NP (DT a) (NN path)))) (. .))),The little girl is riding a horse.,( ( The ( little girl ) ) ( ( is ( riding ( a horse ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ little) (NN girl)) (VP (VBZ is) (VP (VBG riding) (NP (DT a) (NN horse)))) (. .))) +674,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",5054184499.jpg#3,neutral,5054184499.jpg#3r1n,A little girl follows two guys with umbrellas down a path.,( ( A ( little girl ) ) ( ( ( follows ( ( two guys ) ( with umbrellas ) ) ) ( down ( a path ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN girl)) (VP (VBZ follows) (NP (NP (CD two) (NNS guys)) (PP (IN with) (NP (NNS umbrellas)))) (PP (IN down) (NP (DT a) (NN path)))) (. .))),The people are walking home in the rain.,( ( The people ) ( ( are ( ( walking home ) ( in ( the rain ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG walking) (ADVP (NN home)) (PP (IN in) (NP (DT the) (NN rain))))) (. .))) +675,['entailment'],2445397614.jpg#4,entailment,2445397614.jpg#4r1e,A lady is on the floor packing a suitcase.,( ( A lady ) ( ( is ( on ( ( the floor ) ( packing ( a suitcase ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ is) (PP (IN on) (NP (NP (DT the) (NN floor)) (VP (VBG packing) (NP (DT a) (NN suitcase)))))) (. .))),She is packing.,( She ( ( is packing ) . ) ),(ROOT (S (NP (PRP She)) (VP (VBZ is) (VP (VBG packing))) (. .))) +676,['neutral'],2445397614.jpg#4,neutral,2445397614.jpg#4r1n,A lady is on the floor packing a suitcase.,( ( A lady ) ( ( is ( on ( ( the floor ) ( packing ( a suitcase ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ is) (PP (IN on) (NP (NP (DT the) (NN floor)) (VP (VBG packing) (NP (DT a) (NN suitcase)))))) (. .))),The girl is going on a trip.,( ( The girl ) ( ( is ( going ( on ( a trip ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (VP (VBG going) (PP (IN on) (NP (DT a) (NN trip))))) (. .))) +677,['contradiction'],2445397614.jpg#4,contradiction,2445397614.jpg#4r1c,A lady is on the floor packing a suitcase.,( ( A lady ) ( ( is ( on ( ( the floor ) ( packing ( a suitcase ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ is) (PP (IN on) (NP (NP (DT the) (NN floor)) (VP (VBG packing) (NP (DT a) (NN suitcase)))))) (. .))),The woman is standing up unpacking.,( ( The woman ) ( ( is ( ( standing up ) unpacking ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG standing) (PRT (RP up)) (NP (VBG unpacking)))) (. .))) +678,['entailment'],5054184499.jpg#1,entailment,5054184499.jpg#1r1e,Little girl in a blue and yellow plaid outfit and blue hat is running along the trail.,( ( ( Little girl ) ( in ( ( ( a ( ( ( blue and ) yellow ) ( plaid outfit ) ) ) and ) ( blue hat ) ) ) ) ( ( is ( running ( along ( the trail ) ) ) ) . ) ),(ROOT (S (NP (NP (JJ Little) (NN girl)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (CC and) (JJ yellow)) (NN plaid) (NN outfit)) (CC and) (NP (JJ blue) (NN hat))))) (VP (VBZ is) (VP (VBG running) (PP (IN along) (NP (DT the) (NN trail))))) (. .))),A girl is running on the trail.,( ( A girl ) ( ( is ( running ( on ( the trail ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBZ is) (VP (VBG running) (PP (IN on) (NP (DT the) (NN trail))))) (. .))) +679,['contradiction'],5054184499.jpg#1,contradiction,5054184499.jpg#1r1c,Little girl in a blue and yellow plaid outfit and blue hat is running along the trail.,( ( ( Little girl ) ( in ( ( ( a ( ( ( blue and ) yellow ) ( plaid outfit ) ) ) and ) ( blue hat ) ) ) ) ( ( is ( running ( along ( the trail ) ) ) ) . ) ),(ROOT (S (NP (NP (JJ Little) (NN girl)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (CC and) (JJ yellow)) (NN plaid) (NN outfit)) (CC and) (NP (JJ blue) (NN hat))))) (VP (VBZ is) (VP (VBG running) (PP (IN along) (NP (DT the) (NN trail))))) (. .))),A boy is hiking on the trail.,( ( A boy ) ( ( is ( hiking ( on ( the trail ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (NP (NP (NN hiking)) (PP (IN on) (NP (DT the) (NN trail))))) (. .))) +680,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",5054184499.jpg#1,neutral,5054184499.jpg#1r1n,Little girl in a blue and yellow plaid outfit and blue hat is running along the trail.,( ( ( Little girl ) ( in ( ( ( a ( ( ( blue and ) yellow ) ( plaid outfit ) ) ) and ) ( blue hat ) ) ) ) ( ( is ( running ( along ( the trail ) ) ) ) . ) ),(ROOT (S (NP (NP (JJ Little) (NN girl)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (CC and) (JJ yellow)) (NN plaid) (NN outfit)) (CC and) (NP (JJ blue) (NN hat))))) (VP (VBZ is) (VP (VBG running) (PP (IN along) (NP (DT the) (NN trail))))) (. .))),A girl is running downhill on the trail.,( ( A girl ) ( ( is ( ( running downhill ) ( on ( the trail ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBZ is) (VP (VBG running) (ADVP (RB downhill)) (PP (IN on) (NP (DT the) (NN trail))))) (. .))) +681,['entailment'],5054184499.jpg#0,entailment,5054184499.jpg#0r1e,"Little girl walking along a dirt, rock, and grass path wearing a blue hat many steps behind two people wearing backpacks and holding umbrellas.","( ( ( Little girl ) ( ( walking ( along ( ( ( ( ( ( a dirt ) , ) rock ) , ) and ) ( grass path ) ) ) ) ( ( wearing ( a ( blue hat ) ) ) ( ( many steps ) ( behind ( ( two people ) ( wearing ( ( backpacks and ) ( holding umbrellas ) ) ) ) ) ) ) ) ) . )","(ROOT (NP (NP (JJ Little) (NN girl)) (VP (VBG walking) (PP (IN along) (NP (NP (DT a) (NN dirt)) (, ,) (NP (NN rock)) (, ,) (CC and) (NP (NN grass) (NN path)))) (S (VP (VBG wearing) (NP (DT a) (JJ blue) (NN hat)) (NP (NP (JJ many) (NNS steps)) (PP (IN behind) (NP (NP (CD two) (NNS people)) (VP (VBG wearing) (NP (NP (NNS backpacks)) (CC and) (NP (VBG holding) (NNS umbrellas)))))))))) (. .)))",3 people are walking along a path.,( ( 3 people ) ( ( are ( walking ( along ( a path ) ) ) ) . ) ),(ROOT (S (NP (CD 3) (NNS people)) (VP (VBP are) (VP (VBG walking) (PP (IN along) (NP (DT a) (NN path))))) (. .))) +682,['contradiction'],5054184499.jpg#0,contradiction,5054184499.jpg#0r1c,"Little girl walking along a dirt, rock, and grass path wearing a blue hat many steps behind two people wearing backpacks and holding umbrellas.","( ( ( Little girl ) ( ( walking ( along ( ( ( ( ( ( a dirt ) , ) rock ) , ) and ) ( grass path ) ) ) ) ( ( wearing ( a ( blue hat ) ) ) ( ( many steps ) ( behind ( ( two people ) ( wearing ( ( backpacks and ) ( holding umbrellas ) ) ) ) ) ) ) ) ) . )","(ROOT (NP (NP (JJ Little) (NN girl)) (VP (VBG walking) (PP (IN along) (NP (NP (DT a) (NN dirt)) (, ,) (NP (NN rock)) (, ,) (CC and) (NP (NN grass) (NN path)))) (S (VP (VBG wearing) (NP (DT a) (JJ blue) (NN hat)) (NP (NP (JJ many) (NNS steps)) (PP (IN behind) (NP (NP (CD two) (NNS people)) (VP (VBG wearing) (NP (NP (NNS backpacks)) (CC and) (NP (VBG holding) (NNS umbrellas)))))))))) (. .)))",2 people are on the path.,( ( 2 people ) ( ( are ( on ( the path ) ) ) . ) ),(ROOT (S (NP (CD 2) (NNS people)) (VP (VBP are) (PP (IN on) (NP (DT the) (NN path)))) (. .))) +683,['neutral'],5054184499.jpg#0,neutral,5054184499.jpg#0r1n,"Little girl walking along a dirt, rock, and grass path wearing a blue hat many steps behind two people wearing backpacks and holding umbrellas.","( ( ( Little girl ) ( ( walking ( along ( ( ( ( ( ( a dirt ) , ) rock ) , ) and ) ( grass path ) ) ) ) ( ( wearing ( a ( blue hat ) ) ) ( ( many steps ) ( behind ( ( two people ) ( wearing ( ( backpacks and ) ( holding umbrellas ) ) ) ) ) ) ) ) ) . )","(ROOT (NP (NP (JJ Little) (NN girl)) (VP (VBG walking) (PP (IN along) (NP (NP (DT a) (NN dirt)) (, ,) (NP (NN rock)) (, ,) (CC and) (NP (NN grass) (NN path)))) (S (VP (VBG wearing) (NP (DT a) (JJ blue) (NN hat)) (NP (NP (JJ many) (NNS steps)) (PP (IN behind) (NP (NP (CD two) (NNS people)) (VP (VBG wearing) (NP (NP (NNS backpacks)) (CC and) (NP (VBG holding) (NNS umbrellas)))))))))) (. .)))",three people are walking along a path trying to get home before the storm hits.,( ( three people ) ( ( are ( walking ( along ( ( a path ) ( trying ( to ( ( get home ) ( before ( ( the storm ) hits ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD three) (NNS people)) (VP (VBP are) (VP (VBG walking) (PP (IN along) (NP (NP (DT a) (NN path)) (VP (VBG trying) (S (VP (TO to) (VP (VB get) (ADVP (NN home)) (SBAR (IN before) (S (NP (DT the) (NN storm)) (VP (VBZ hits)))))))))))) (. .))) +684,['entailment'],2445397614.jpg#1,entailment,2445397614.jpg#1r1e,The blond woman is searching for medical supplies in a suitcase.,( ( The ( blond woman ) ) ( ( is ( searching ( for ( ( medical supplies ) ( in ( a suitcase ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ blond) (NN woman)) (VP (VBZ is) (VP (VBG searching) (PP (IN for) (NP (NP (JJ medical) (NNS supplies)) (PP (IN in) (NP (DT a) (NN suitcase))))))) (. .))),A blonde woman looks for things in a suitcase.,( ( A ( blonde woman ) ) ( ( looks ( for ( things ( in ( a suitcase ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ blonde) (NN woman)) (VP (VBZ looks) (PP (IN for) (NP (NP (NNS things)) (PP (IN in) (NP (DT a) (NN suitcase)))))) (. .))) +685,['neutral'],2445397614.jpg#1,neutral,2445397614.jpg#1r1n,The blond woman is searching for medical supplies in a suitcase.,( ( The ( blond woman ) ) ( ( is ( searching ( for ( ( medical supplies ) ( in ( a suitcase ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ blond) (NN woman)) (VP (VBZ is) (VP (VBG searching) (PP (IN for) (NP (NP (JJ medical) (NNS supplies)) (PP (IN in) (NP (DT a) (NN suitcase))))))) (. .))),A blonde woman looks for medical supplies for work in a suitcase.,( ( A ( blonde woman ) ) ( ( ( looks ( for ( ( medical supplies ) ( for work ) ) ) ) ( in ( a suitcase ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ blonde) (NN woman)) (VP (VBZ looks) (PP (IN for) (NP (NP (JJ medical) (NNS supplies)) (PP (IN for) (NP (NN work))))) (PP (IN in) (NP (DT a) (NN suitcase)))) (. .))) +686,['contradiction'],2445397614.jpg#1,contradiction,2445397614.jpg#1r1c,The blond woman is searching for medical supplies in a suitcase.,( ( The ( blond woman ) ) ( ( is ( searching ( for ( ( medical supplies ) ( in ( a suitcase ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ blond) (NN woman)) (VP (VBZ is) (VP (VBG searching) (PP (IN for) (NP (NP (JJ medical) (NNS supplies)) (PP (IN in) (NP (DT a) (NN suitcase))))))) (. .))),A brunette woman checks her suitcase before boarding a plane.,( ( A ( brunette woman ) ) ( ( ( checks ( her suitcase ) ) ( before ( boarding ( a plane ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ brunette) (NN woman)) (VP (VBZ checks) (NP (PRP$ her) (NN suitcase)) (PP (IN before) (S (VP (VBG boarding) (NP (DT a) (NN plane)))))) (. .))) +687,['neutral'],2445397614.jpg#0,neutral,2445397614.jpg#0r1n,Stacks of neatly folded clothing cover most of this floor while a woman with a beige shirt and jeans busily fills a suitcase.,( ( Stacks ( of ( ( neatly folded ) clothing ) ) ) ( ( ( cover ( most ( of ( this floor ) ) ) ) ( while ( ( ( a woman ) ( with ( ( ( a ( beige shirt ) ) and ) jeans ) ) ) ( busily ( fills ( a suitcase ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NNS Stacks)) (PP (IN of) (NP (ADJP (RB neatly) (VBN folded)) (NN clothing)))) (VP (VBP cover) (NP (NP (JJS most)) (PP (IN of) (NP (DT this) (NN floor)))) (SBAR (IN while) (S (NP (NP (DT a) (NN woman)) (PP (IN with) (NP (NP (DT a) (JJ beige) (NN shirt)) (CC and) (NP (NNS jeans))))) (ADVP (RB busily)) (VP (VBZ fills) (NP (DT a) (NN suitcase)))))) (. .))),A woman is packing for a trip.,( ( A woman ) ( ( is ( packing ( for ( a trip ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG packing) (PP (IN for) (NP (DT a) (NN trip))))) (. .))) +688,['contradiction'],2445397614.jpg#0,contradiction,2445397614.jpg#0r1c,Stacks of neatly folded clothing cover most of this floor while a woman with a beige shirt and jeans busily fills a suitcase.,( ( Stacks ( of ( ( neatly folded ) clothing ) ) ) ( ( ( cover ( most ( of ( this floor ) ) ) ) ( while ( ( ( a woman ) ( with ( ( ( a ( beige shirt ) ) and ) jeans ) ) ) ( busily ( fills ( a suitcase ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NNS Stacks)) (PP (IN of) (NP (ADJP (RB neatly) (VBN folded)) (NN clothing)))) (VP (VBP cover) (NP (NP (JJS most)) (PP (IN of) (NP (DT this) (NN floor)))) (SBAR (IN while) (S (NP (NP (DT a) (NN woman)) (PP (IN with) (NP (NP (DT a) (JJ beige) (NN shirt)) (CC and) (NP (NNS jeans))))) (ADVP (RB busily)) (VP (VBZ fills) (NP (DT a) (NN suitcase)))))) (. .))),A man is packing his golf clubs.,( ( A man ) ( ( is ( packing ( his ( golf clubs ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG packing) (NP (PRP$ his) (NN golf) (NNS clubs)))) (. .))) +689,['entailment'],2445397614.jpg#0,entailment,2445397614.jpg#0r1e,Stacks of neatly folded clothing cover most of this floor while a woman with a beige shirt and jeans busily fills a suitcase.,( ( Stacks ( of ( ( neatly folded ) clothing ) ) ) ( ( ( cover ( most ( of ( this floor ) ) ) ) ( while ( ( ( a woman ) ( with ( ( ( a ( beige shirt ) ) and ) jeans ) ) ) ( busily ( fills ( a suitcase ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NNS Stacks)) (PP (IN of) (NP (ADJP (RB neatly) (VBN folded)) (NN clothing)))) (VP (VBP cover) (NP (NP (JJS most)) (PP (IN of) (NP (DT this) (NN floor)))) (SBAR (IN while) (S (NP (NP (DT a) (NN woman)) (PP (IN with) (NP (NP (DT a) (JJ beige) (NN shirt)) (CC and) (NP (NNS jeans))))) (ADVP (RB busily)) (VP (VBZ fills) (NP (DT a) (NN suitcase)))))) (. .))),A woman is filling a suitcase.,( ( A woman ) ( ( is ( filling ( a suitcase ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG filling) (NP (DT a) (NN suitcase)))) (. .))) +690,['contradiction'],2445397614.jpg#3,contradiction,2445397614.jpg#3r1c,A young woman packs belongings into a black suitcase.,( ( A ( young woman ) ) ( ( ( packs belongings ) ( into ( a ( black suitcase ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN woman)) (VP (VBZ packs) (NP (NNS belongings)) (PP (IN into) (NP (DT a) (JJ black) (NN suitcase)))) (. .))),A young man packs belongings into a black trash bag.,( ( A ( young man ) ) ( ( ( packs belongings ) ( into ( a ( black ( trash bag ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN man)) (VP (VBZ packs) (NP (NNS belongings)) (PP (IN into) (NP (DT a) (JJ black) (NN trash) (NN bag)))) (. .))) +691,['neutral'],2445397614.jpg#3,neutral,2445397614.jpg#3r1n,A young woman packs belongings into a black suitcase.,( ( A ( young woman ) ) ( ( ( packs belongings ) ( into ( a ( black suitcase ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN woman)) (VP (VBZ packs) (NP (NNS belongings)) (PP (IN into) (NP (DT a) (JJ black) (NN suitcase)))) (. .))),A young woman distributes belongings into a black box.,( ( A ( young woman ) ) ( ( ( distributes belongings ) ( into ( a ( black box ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN woman)) (VP (VBZ distributes) (NP (NNS belongings)) (PP (IN into) (NP (DT a) (JJ black) (NN box)))) (. .))) +692,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",2445397614.jpg#3,entailment,2445397614.jpg#3r1e,A young woman packs belongings into a black suitcase.,( ( A ( young woman ) ) ( ( ( packs belongings ) ( into ( a ( black suitcase ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN woman)) (VP (VBZ packs) (NP (NNS belongings)) (PP (IN into) (NP (DT a) (JJ black) (NN suitcase)))) (. .))),A young woman packs belongings into a black luggage carrier.,( ( A ( young woman ) ) ( ( ( packs belongings ) ( into ( a ( black ( luggage carrier ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN woman)) (VP (VBZ packs) (NP (NNS belongings)) (PP (IN into) (NP (DT a) (JJ black) (NN luggage) (NN carrier)))) (. .))) +693,['neutral'],5054184499.jpg#4,neutral,5054184499.jpg#4r1n,People going for a long walk to the mountains.,( ( People ( ( going ( for ( a ( long walk ) ) ) ) ( to ( the mountains ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG going) (PP (IN for) (NP (DT a) (JJ long) (NN walk))) (PP (TO to) (NP (DT the) (NNS mountains)))) (. .))),The people are walking in a big group.,( ( The people ) ( ( are ( walking ( in ( a ( big group ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG walking) (PP (IN in) (NP (DT a) (JJ big) (NN group))))) (. .))) +694,['contradiction'],5054184499.jpg#4,contradiction,5054184499.jpg#4r1c,People going for a long walk to the mountains.,( ( People ( ( going ( for ( a ( long walk ) ) ) ) ( to ( the mountains ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG going) (PP (IN for) (NP (DT a) (JJ long) (NN walk))) (PP (TO to) (NP (DT the) (NNS mountains)))) (. .))),The people are running towards the mountains.,( ( The people ) ( ( are ( running ( towards ( the mountains ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG running) (PP (IN towards) (NP (DT the) (NNS mountains))))) (. .))) +695,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",5054184499.jpg#4,entailment,5054184499.jpg#4r1e,People going for a long walk to the mountains.,( ( People ( ( going ( for ( a ( long walk ) ) ) ) ( to ( the mountains ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG going) (PP (IN for) (NP (DT a) (JJ long) (NN walk))) (PP (TO to) (NP (DT the) (NNS mountains)))) (. .))),The people are walking outdoors.,( ( The people ) ( ( are ( walking outdoors ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG walking) (ADVP (RB outdoors)))) (. .))) +696,['neutral'],290764786.jpg#4,neutral,290764786.jpg#4r1n,A man resting on a street.,( ( ( A man ) ( resting ( on ( a street ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG resting) (PP (IN on) (NP (DT a) (NN street)))) (. .))),A man sitting on a street.,( ( ( A man ) ( sitting ( on ( a street ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN street)))) (. .))) +697,['contradiction'],290764786.jpg#4,contradiction,290764786.jpg#4r1c,A man resting on a street.,( ( ( A man ) ( resting ( on ( a street ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG resting) (PP (IN on) (NP (DT a) (NN street)))) (. .))),A man jogging on the street.,( ( ( A ( man jogging ) ) ( on ( the street ) ) ) . ),(ROOT (NP (NP (DT A) (NN man) (NN jogging)) (PP (IN on) (NP (DT the) (NN street))) (. .))) +698,['entailment'],290764786.jpg#4,entailment,290764786.jpg#4r1e,A man resting on a street.,( ( ( A man ) ( resting ( on ( a street ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG resting) (PP (IN on) (NP (DT a) (NN street)))) (. .))),A man resting on a street.,( ( ( A man ) ( resting ( on ( a street ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG resting) (PP (IN on) (NP (DT a) (NN street)))) (. .))) +699,['neutral'],4590734133.jpg#0,neutral,4590734133.jpg#0r1n,A woman in costume is marching with a large drum.,( ( ( A woman ) ( in costume ) ) ( ( is ( marching ( with ( a ( large drum ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NN costume)))) (VP (VBZ is) (VP (VBG marching) (PP (IN with) (NP (DT a) (JJ large) (NN drum))))) (. .))),Highschool homcoming marching band is marching.,( ( Highschool ( homcoming ( marching band ) ) ) ( ( is marching ) . ) ),(ROOT (S (NP (JJ Highschool) (NN homcoming) (NN marching) (NN band)) (VP (VBZ is) (VP (VBG marching))) (. .))) +700,['contradiction'],4590734133.jpg#0,contradiction,4590734133.jpg#0r1c,A woman in costume is marching with a large drum.,( ( ( A woman ) ( in costume ) ) ( ( is ( marching ( with ( a ( large drum ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NN costume)))) (VP (VBZ is) (VP (VBG marching) (PP (IN with) (NP (DT a) (JJ large) (NN drum))))) (. .))),The drum lady drive a bus.,( ( The ( drum lady ) ) ( ( drive ( a bus ) ) . ) ),(ROOT (S (NP (DT The) (NN drum) (NN lady)) (VP (VBP drive) (NP (DT a) (NN bus))) (. .))) +701,['entailment'],4590734133.jpg#0,entailment,4590734133.jpg#0r1e,A woman in costume is marching with a large drum.,( ( ( A woman ) ( in costume ) ) ( ( is ( marching ( with ( a ( large drum ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NN costume)))) (VP (VBZ is) (VP (VBG marching) (PP (IN with) (NP (DT a) (JJ large) (NN drum))))) (. .))),She plays in a band.,( She ( ( plays ( in ( a band ) ) ) . ) ),(ROOT (S (NP (PRP She)) (VP (VBZ plays) (PP (IN in) (NP (DT a) (NN band)))) (. .))) +702,['entailment'],4440806599.jpg#0,entailment,4440806599.jpg#0r1e,"A man carrying a load of fresh direct boxes on car with wheels in the city streets, as a woman walks towards him.","( ( ( A man ) ( ( ( ( carrying ( ( a load ) ( of ( ( fresh ( direct boxes ) ) ( on car ) ) ) ) ) ( with ( wheels ( in ( the ( city streets ) ) ) ) ) ) , ) ( as ( ( a woman ) ( walks ( towards him ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN man)) (VP (VBG carrying) (NP (NP (DT a) (NN load)) (PP (IN of) (NP (NP (JJ fresh) (JJ direct) (NNS boxes)) (PP (IN on) (NP (NN car)))))) (PP (IN with) (NP (NP (NNS wheels)) (PP (IN in) (NP (DT the) (NN city) (NNS streets))))) (, ,) (SBAR (IN as) (S (NP (DT a) (NN woman)) (VP (VBZ walks) (PP (IN towards) (NP (PRP him))))))) (. .)))",Someone is toting packages in an urban setting.,( Someone ( ( is ( toting ( packages ( in ( an ( urban setting ) ) ) ) ) ) . ) ),(ROOT (S (NP (NN Someone)) (VP (VBZ is) (VP (VBG toting) (NP (NP (NNS packages)) (PP (IN in) (NP (DT an) (JJ urban) (NN setting)))))) (. .))) +703,['contradiction'],4440806599.jpg#0,contradiction,4440806599.jpg#0r1c,"A man carrying a load of fresh direct boxes on car with wheels in the city streets, as a woman walks towards him.","( ( ( A man ) ( ( ( ( carrying ( ( a load ) ( of ( ( fresh ( direct boxes ) ) ( on car ) ) ) ) ) ( with ( wheels ( in ( the ( city streets ) ) ) ) ) ) , ) ( as ( ( a woman ) ( walks ( towards him ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN man)) (VP (VBG carrying) (NP (NP (DT a) (NN load)) (PP (IN of) (NP (NP (JJ fresh) (JJ direct) (NNS boxes)) (PP (IN on) (NP (NN car)))))) (PP (IN with) (NP (NP (NNS wheels)) (PP (IN in) (NP (DT the) (NN city) (NNS streets))))) (, ,) (SBAR (IN as) (S (NP (DT a) (NN woman)) (VP (VBZ walks) (PP (IN towards) (NP (PRP him))))))) (. .)))",A young lad delivers groceries by bicycle in the city.,( ( A ( young lad ) ) ( ( ( delivers groceries ) ( by ( bicycle ( in ( the city ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN lad)) (VP (VBZ delivers) (NP (NNS groceries)) (PP (IN by) (NP (NP (NN bicycle)) (PP (IN in) (NP (DT the) (NN city)))))) (. .))) +704,['neutral'],4440806599.jpg#0,neutral,4440806599.jpg#0r1n,"A man carrying a load of fresh direct boxes on car with wheels in the city streets, as a woman walks towards him.","( ( ( A man ) ( ( ( ( carrying ( ( a load ) ( of ( ( fresh ( direct boxes ) ) ( on car ) ) ) ) ) ( with ( wheels ( in ( the ( city streets ) ) ) ) ) ) , ) ( as ( ( a woman ) ( walks ( towards him ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN man)) (VP (VBG carrying) (NP (NP (DT a) (NN load)) (PP (IN of) (NP (NP (JJ fresh) (JJ direct) (NNS boxes)) (PP (IN on) (NP (NN car)))))) (PP (IN with) (NP (NP (NNS wheels)) (PP (IN in) (NP (DT the) (NN city) (NNS streets))))) (, ,) (SBAR (IN as) (S (NP (DT a) (NN woman)) (VP (VBZ walks) (PP (IN towards) (NP (PRP him))))))) (. .)))",A man delivers groceries to shut-in seniors in the city.,( ( A man ) ( ( ( delivers groceries ) ( to ( ( shut-in seniors ) ( in ( the city ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ delivers) (NP (NNS groceries)) (PP (TO to) (NP (NP (JJ shut-in) (NNS seniors)) (PP (IN in) (NP (DT the) (NN city)))))) (. .))) +705,"['neutral', 'entailment', 'entailment', 'entailment', 'entailment']",2719101587.jpg#4,entailment,2719101587.jpg#4r1n,a motorcyclist does a nose wheelie.,( ( a motorcyclist ) ( ( does ( a ( nose wheelie ) ) ) . ) ),(ROOT (S (NP (DT a) (NN motorcyclist)) (VP (VBZ does) (NP (DT a) (NN nose) (NN wheelie))) (. .))),A man doing a wheelie,( A ( man ( doing ( a wheelie ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG doing) (NP (DT a) (NN wheelie))))))) +706,['contradiction'],2719101587.jpg#4,contradiction,2719101587.jpg#4r1c,a motorcyclist does a nose wheelie.,( ( a motorcyclist ) ( ( does ( a ( nose wheelie ) ) ) . ) ),(ROOT (S (NP (DT a) (NN motorcyclist)) (VP (VBZ does) (NP (DT a) (NN nose) (NN wheelie))) (. .))),A man standing beside a crashed motorcycle,( ( A ( man standing ) ) ( beside ( a ( crashed motorcycle ) ) ) ),(ROOT (NP (NP (DT A) (NN man) (NN standing)) (PP (IN beside) (NP (DT a) (JJ crashed) (NN motorcycle))))) +707,['entailment'],2719101587.jpg#4,entailment,2719101587.jpg#4r1e,a motorcyclist does a nose wheelie.,( ( a motorcyclist ) ( ( does ( a ( nose wheelie ) ) ) . ) ),(ROOT (S (NP (DT a) (NN motorcyclist)) (VP (VBZ does) (NP (DT a) (NN nose) (NN wheelie))) (. .))),A motorcyclist doing a wheelie,( A ( motorcyclist ( doing ( a wheelie ) ) ) ),(ROOT (FRAG (NP (DT A) (NN motorcyclist) (S (VP (VBG doing) (NP (DT a) (NN wheelie))))))) +708,['neutral'],4943185444.jpg#4,neutral,4943185444.jpg#4r1n,A man sitting on a scooter on the curb.,( ( ( A man ) ( sitting ( on ( ( a scooter ) ( on ( the curb ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN scooter)) (PP (IN on) (NP (DT the) (NN curb)))))) (. .))),A man is waiting for someone to fix his scooter.,( ( A man ) ( ( is ( ( waiting ( for someone ) ) ( to ( fix ( his scooter ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG waiting) (PP (IN for) (NP (NN someone))) (S (VP (TO to) (VP (VB fix) (NP (PRP$ his) (NN scooter))))))) (. .))) +709,['entailment'],4943185444.jpg#4,entailment,4943185444.jpg#4r1e,A man sitting on a scooter on the curb.,( ( ( A man ) ( sitting ( on ( ( a scooter ) ( on ( the curb ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN scooter)) (PP (IN on) (NP (DT the) (NN curb)))))) (. .))),"A man is outside, near the street.","( ( A man ) ( ( ( ( is outside ) , ) ( near ( the street ) ) ) . ) )","(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (ADVP (RB outside)) (, ,) (ADVP (IN near) (NP (DT the) (NN street)))) (. .)))" +710,['contradiction'],4943185444.jpg#4,contradiction,4943185444.jpg#4r1c,A man sitting on a scooter on the curb.,( ( ( A man ) ( sitting ( on ( ( a scooter ) ( on ( the curb ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN scooter)) (PP (IN on) (NP (DT the) (NN curb)))))) (. .))),A man is relaxing at the bar.,( ( A man ) ( ( is ( relaxing ( at ( the bar ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG relaxing) (PP (IN at) (NP (DT the) (NN bar))))) (. .))) +711,['contradiction'],4943185444.jpg#0,contradiction,4943185444.jpg#0r1c,A man stopping on the sidewalk with his bike to have a smoke.,( ( ( A man ) ( ( stopping ( on ( ( the sidewalk ) ( with ( his bike ) ) ) ) ) ( to ( have ( a smoke ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG stopping) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (PP (IN with) (NP (PRP$ his) (NN bike))))) (S (VP (TO to) (VP (VB have) (NP (DT a) (NN smoke)))))) (. .))),The man is playing basketball.,( ( The man ) ( ( is ( playing basketball ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG playing) (NP (NN basketball)))) (. .))) +712,['entailment'],4943185444.jpg#0,entailment,4943185444.jpg#0r1e,A man stopping on the sidewalk with his bike to have a smoke.,( ( ( A man ) ( ( stopping ( on ( ( the sidewalk ) ( with ( his bike ) ) ) ) ) ( to ( have ( a smoke ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG stopping) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (PP (IN with) (NP (PRP$ his) (NN bike))))) (S (VP (TO to) (VP (VB have) (NP (DT a) (NN smoke)))))) (. .))),The man is standing.,( ( The man ) ( ( is standing ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG standing))) (. .))) +713,['neutral'],4943185444.jpg#0,neutral,4943185444.jpg#0r1n,A man stopping on the sidewalk with his bike to have a smoke.,( ( ( A man ) ( ( stopping ( on ( ( the sidewalk ) ( with ( his bike ) ) ) ) ) ( to ( have ( a smoke ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG stopping) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (PP (IN with) (NP (PRP$ his) (NN bike))))) (S (VP (TO to) (VP (VB have) (NP (DT a) (NN smoke)))))) (. .))),The man is lighting a cigarette.,( ( The man ) ( ( is ( lighting ( a cigarette ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG lighting) (NP (DT a) (NN cigarette)))) (. .))) +714,['entailment'],4943185444.jpg#1,entailment,4943185444.jpg#1r1e,A man is sitting on a motorcycle on the sidewalk.,( ( A man ) ( ( is ( sitting ( on ( ( a motorcycle ) ( on ( the sidewalk ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN motorcycle)) (PP (IN on) (NP (DT the) (NN sidewalk))))))) (. .))),A man is sitting on a motorcycle.,( ( A man ) ( ( is ( sitting ( on ( a motorcycle ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN motorcycle))))) (. .))) +715,['neutral'],4943185444.jpg#1,neutral,4943185444.jpg#1r1n,A man is sitting on a motorcycle on the sidewalk.,( ( A man ) ( ( is ( sitting ( on ( ( a motorcycle ) ( on ( the sidewalk ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN motorcycle)) (PP (IN on) (NP (DT the) (NN sidewalk))))))) (. .))),A man is sitting on a motorcycle and drives away.,( ( A man ) ( ( is ( ( sitting ( on ( ( ( a motorcycle ) and ) drives ) ) ) away ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN motorcycle)) (CC and) (NP (NNS drives)))) (ADVP (RB away)))) (. .))) +716,['contradiction'],4943185444.jpg#1,contradiction,4943185444.jpg#1r1c,A man is sitting on a motorcycle on the sidewalk.,( ( A man ) ( ( is ( sitting ( on ( ( a motorcycle ) ( on ( the sidewalk ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN motorcycle)) (PP (IN on) (NP (DT the) (NN sidewalk))))))) (. .))),A man in black is playing with his cat on Sunday.,( ( ( A man ) ( in black ) ) ( ( is ( ( playing ( with ( his cat ) ) ) ( on Sunday ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (JJ black)))) (VP (VBZ is) (VP (VBG playing) (PP (IN with) (NP (PRP$ his) (NN cat))) (PP (IN on) (NP (NNP Sunday))))) (. .))) +717,['neutral'],4943185444.jpg#2,neutral,4943185444.jpg#2r1n,Man smokes while sitting on a parked scooter.,( Man ( ( smokes ( while ( sitting ( on ( a ( parked scooter ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Man)) (VP (VBZ smokes) (SBAR (IN while) (S (VP (VBG sitting) (PP (IN on) (NP (DT a) (VBN parked) (NN scooter))))))) (. .))),A man smokes a cigarette while sitting on his scooter.,( ( A man ) ( ( ( smokes ( a cigarette ) ) ( while ( sitting ( on ( his scooter ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ smokes) (NP (DT a) (NN cigarette)) (PP (IN while) (S (VP (VBG sitting) (PP (IN on) (NP (PRP$ his) (NN scooter))))))) (. .))) +718,['contradiction'],4943185444.jpg#2,contradiction,4943185444.jpg#2r1c,Man smokes while sitting on a parked scooter.,( Man ( ( smokes ( while ( sitting ( on ( a ( parked scooter ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Man)) (VP (VBZ smokes) (SBAR (IN while) (S (VP (VBG sitting) (PP (IN on) (NP (DT a) (VBN parked) (NN scooter))))))) (. .))),The man drinks a beer while sitting in his car.,( ( The man ) ( ( ( drinks ( a beer ) ) ( while ( sitting ( in ( his car ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ drinks) (NP (DT a) (NN beer)) (PP (IN while) (S (VP (VBG sitting) (PP (IN in) (NP (PRP$ his) (NN car))))))) (. .))) +719,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",4943185444.jpg#2,entailment,4943185444.jpg#2r1e,Man smokes while sitting on a parked scooter.,( Man ( ( smokes ( while ( sitting ( on ( a ( parked scooter ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Man)) (VP (VBZ smokes) (SBAR (IN while) (S (VP (VBG sitting) (PP (IN on) (NP (DT a) (VBN parked) (NN scooter))))))) (. .))),The man is smoking something while sitting on the scooter.,( ( The man ) ( ( is ( ( smoking something ) ( while ( sitting ( on ( the scooter ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG smoking) (NP (NN something)) (PP (IN while) (S (VP (VBG sitting) (PP (IN on) (NP (DT the) (NN scooter)))))))) (. .))) +720,['neutral'],4943185444.jpg#3,neutral,4943185444.jpg#3r1n,Man on the sidewalk sitting on a motorcycle.,( ( ( Man ( on ( the sidewalk ) ) ) ( sitting ( on ( a motorcycle ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Man)) (PP (IN on) (NP (DT the) (NN sidewalk)))) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN motorcycle)))) (. .))),A man on the motorcycle,( ( A man ) ( on ( the motorcycle ) ) ),(ROOT (NP (NP (DT A) (NN man)) (PP (IN on) (NP (DT the) (NN motorcycle))))) +721,['entailment'],4943185444.jpg#3,entailment,4943185444.jpg#3r1e,Man on the sidewalk sitting on a motorcycle.,( ( ( Man ( on ( the sidewalk ) ) ) ( sitting ( on ( a motorcycle ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Man)) (PP (IN on) (NP (DT the) (NN sidewalk)))) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN motorcycle)))) (. .))),Man sitting on a motorcycle on the sidewalk,( Man ( sitting ( on ( ( a motorcycle ) ( on ( the sidewalk ) ) ) ) ) ),(ROOT (NP (S (NP (NNP Man)) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN motorcycle)) (PP (IN on) (NP (DT the) (NN sidewalk))))))))) +722,['contradiction'],4943185444.jpg#3,contradiction,4943185444.jpg#3r1c,Man on the sidewalk sitting on a motorcycle.,( ( ( Man ( on ( the sidewalk ) ) ) ( sitting ( on ( a motorcycle ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Man)) (PP (IN on) (NP (DT the) (NN sidewalk)))) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN motorcycle)))) (. .))),A man driving his car,( A ( man ( driving ( his car ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG driving) (NP (PRP$ his) (NN car))))))) +723,['contradiction'],6300032355.jpg#3,contradiction,6300032355.jpg#3r1c,"A couple, wearing black, burgundy, and white, dance.","( ( ( ( ( A couple ) , ) ( wearing ( black ( , ( burgundy ( , ( and white ) ) ) ) ) ) ) , ) ( dance . ) )","(ROOT (S (NP (NP (DT A) (NN couple)) (, ,) (VP (VBG wearing) (ADJP (JJ black) (, ,) (JJ burgundy) (, ,) (CC and) (JJ white))) (, ,)) (VP (VBP dance)) (. .)))",The woman danced alone.,( ( The woman ) ( ( danced alone ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBD danced) (ADVP (RB alone))) (. .))) +724,['entailment'],6300032355.jpg#3,entailment,6300032355.jpg#3r1e,"A couple, wearing black, burgundy, and white, dance.","( ( ( ( ( A couple ) , ) ( wearing ( black ( , ( burgundy ( , ( and white ) ) ) ) ) ) ) , ) ( dance . ) )","(ROOT (S (NP (NP (DT A) (NN couple)) (, ,) (VP (VBG wearing) (ADJP (JJ black) (, ,) (JJ burgundy) (, ,) (CC and) (JJ white))) (, ,)) (VP (VBP dance)) (. .)))",The couple danced.,( ( The couple ) ( danced . ) ),(ROOT (S (NP (DT The) (NN couple)) (VP (VBD danced)) (. .))) +725,['neutral'],6300032355.jpg#3,neutral,6300032355.jpg#3r1n,"A couple, wearing black, burgundy, and white, dance.","( ( ( ( ( A couple ) , ) ( wearing ( black ( , ( burgundy ( , ( and white ) ) ) ) ) ) ) , ) ( dance . ) )","(ROOT (S (NP (NP (DT A) (NN couple)) (, ,) (VP (VBG wearing) (ADJP (JJ black) (, ,) (JJ burgundy) (, ,) (CC and) (JJ white))) (, ,)) (VP (VBP dance)) (. .)))",The couple danced in the competition.,( ( The couple ) ( ( danced ( in ( the competition ) ) ) . ) ),(ROOT (S (NP (DT The) (NN couple)) (VP (VBD danced) (PP (IN in) (NP (DT the) (NN competition)))) (. .))) +726,['neutral'],4688194296.jpg#0,neutral,4688194296.jpg#0r5n,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),People are running for a charity.,( People ( ( are ( running ( for ( a charity ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG running) (PP (IN for) (NP (DT a) (NN charity))))) (. .))) +727,['neutral'],4688194296.jpg#0,neutral,4688194296.jpg#0r1n,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),the runners waited to start the olympic race,( ( the runners ) ( waited ( to ( start ( the ( olympic race ) ) ) ) ) ),(ROOT (S (NP (DT the) (NNS runners)) (VP (VBD waited) (S (VP (TO to) (VP (VB start) (NP (DT the) (JJ olympic) (NN race)))))))) +728,['contradiction'],4688194296.jpg#0,contradiction,4688194296.jpg#0r4c,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),People wearing pink and purple get ready for a race,( ( People ( wearing ( ( pink and ) purple ) ) ) ( ( get ready ) ( for ( a race ) ) ) ),(ROOT (S (NP (NP (NNS People)) (VP (VBG wearing) (ADJP (JJ pink) (CC and) (JJ purple)))) (VP (VBP get) (ADJP (JJ ready)) (PP (IN for) (NP (DT a) (NN race)))))) +729,['neutral'],4688194296.jpg#0,neutral,4688194296.jpg#0r4n,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),People wearing their bright team uniforms await the pistol that signifies the start of their race,( ( People ( wearing ( their ( bright ( team uniforms ) ) ) ) ) ( await ( ( the pistol ) ( that ( signifies ( ( the start ) ( of ( their race ) ) ) ) ) ) ) ),(ROOT (S (NP (NP (NNS People)) (VP (VBG wearing) (NP (PRP$ their) (JJ bright) (NN team) (NNS uniforms)))) (VP (VBP await) (NP (NP (DT the) (NN pistol)) (SBAR (WHNP (WDT that)) (S (VP (VBZ signifies) (NP (NP (DT the) (NN start)) (PP (IN of) (NP (PRP$ their) (NN race))))))))))) +730,['contradiction'],4688194296.jpg#0,contradiction,4688194296.jpg#0r5c,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),People are having a cook off.,( People ( ( are ( ( having ( a cook ) ) off ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG having) (NP (DT a) (NN cook)) (PP (RP off)))) (. .))) +731,['neutral'],4688194296.jpg#0,neutral,4688194296.jpg#0r3n,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),People in orange vests await the beginning of a race to win first prize.,( ( People ( in ( orange vests ) ) ) ( ( await ( ( the beginning ) ( of ( a ( race ( to ( win ( first prize ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race) (S (VP (TO to) (VP (VB win) (NP (JJ first) (NN prize))))))))) (. .))) +732,['entailment'],4688194296.jpg#0,entailment,4688194296.jpg#0r2e,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),People wait for a race to begin.,( People ( ( wait ( for ( a ( race ( to begin ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP wait) (PP (IN for) (NP (DT a) (NN race) (S (VP (TO to) (VP (VB begin))))))) (. .))) +733,['neutral'],4688194296.jpg#0,neutral,4688194296.jpg#0r2n,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),The people waiting are part of the race.,( ( The ( people waiting ) ) ( ( are ( part ( of ( the race ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people) (NN waiting)) (VP (VBP are) (NP (NP (NN part)) (PP (IN of) (NP (DT the) (NN race))))) (. .))) +734,['contradiction'],4688194296.jpg#0,contradiction,4688194296.jpg#0r1c,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),the athlete backflips off of a mountain,( ( the athlete ) ( ( backflips off ) ( of ( a mountain ) ) ) ),(ROOT (S (NP (DT the) (NN athlete)) (VP (VBZ backflips) (PRT (RP off)) (PP (IN of) (NP (DT a) (NN mountain)))))) +735,['contradiction'],4688194296.jpg#0,contradiction,4688194296.jpg#0r3c,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),People in orange vests are racing in a race that has started.,( ( People ( in ( orange vests ) ) ) ( ( are ( racing ( in ( ( a race ) ( that ( has started ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (VP (VBP are) (VP (VBG racing) (PP (IN in) (NP (NP (DT a) (NN race)) (SBAR (WHNP (WDT that)) (S (VP (VBZ has) (VP (VBN started))))))))) (. .))) +736,['entailment'],4688194296.jpg#0,entailment,4688194296.jpg#0r3e,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),People in orange vests await the beginning of a race.,( ( People ( in ( orange vests ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))) +737,['entailment'],4688194296.jpg#0,entailment,4688194296.jpg#0r4e,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),People are wearing colorful clothes,( People ( are ( wearing ( colorful clothes ) ) ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG wearing) (NP (JJ colorful) (NNS clothes)))))) +738,['contradiction'],4688194296.jpg#0,contradiction,4688194296.jpg#0r2c,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),People are racing backwards through Hell.,( People ( ( are ( ( racing backwards ) ( through Hell ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG racing) (ADVP (RB backwards)) (PP (IN through) (NP (NNP Hell))))) (. .))) +739,['entailment'],4688194296.jpg#0,entailment,4688194296.jpg#0r5e,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),People are waiting for a race.,( People ( ( are ( waiting ( for ( a race ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG waiting) (PP (IN for) (NP (DT a) (NN race))))) (. .))) +740,['entailment'],4688194296.jpg#0,entailment,4688194296.jpg#0r1e,People in orange vests and blue pants with a yellow stripe at the bottom await the beginning of a race.,( ( ( ( People ( in ( orange vests ) ) ) and ) ( ( blue pants ) ( with ( ( a ( yellow stripe ) ) ( at ( the bottom ) ) ) ) ) ) ( ( await ( ( the beginning ) ( of ( a race ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (NNS People)) (PP (IN in) (NP (JJ orange) (NNS vests)))) (CC and) (NP (NP (JJ blue) (NNS pants)) (PP (IN with) (NP (NP (DT a) (JJ yellow) (NN stripe)) (PP (IN at) (NP (DT the) (NN bottom))))))) (VP (VBP await) (NP (NP (DT the) (NN beginning)) (PP (IN of) (NP (DT a) (NN race))))) (. .))),the runners waited to start the race,( ( the runners ) ( waited ( to ( start ( the race ) ) ) ) ),(ROOT (S (NP (DT the) (NNS runners)) (VP (VBD waited) (S (VP (TO to) (VP (VB start) (NP (DT the) (NN race)))))))) +741,['neutral'],6300032355.jpg#1,neutral,6300032355.jpg#1r1n,A young man and young lady dancing on a carpeted floor with a picture from the movie Toy Story on a big screen in the background.,( ( ( A ( young ( man ( and ( young lady ) ) ) ) ) ( ( ( ( dancing on ) ( a ( carpeted floor ) ) ) ( with ( ( a picture ) ( from ( the movie ) ) ) ) ) ( ( Toy Story ) ( on ( ( a ( big screen ) ) ( in ( the background ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN man) (CC and) (JJ young) (NN lady)) (VP (VBG dancing) (PRT (RP on)) (NP (DT a) (VBN carpeted) (NN floor)) (PP (IN with) (NP (NP (DT a) (NN picture)) (PP (IN from) (NP (DT the) (NN movie))))) (NP (NP (NNP Toy) (NNP Story)) (PP (IN on) (NP (NP (DT a) (JJ big) (NN screen)) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),They movie is very loud in the background.,( They ( movie ( ( is ( very ( loud ( in ( the background ) ) ) ) ) . ) ) ),(ROOT (S (NP (PRP They)) (NP (NN movie)) (VP (VBZ is) (ADJP (RB very) (JJ loud) (PP (IN in) (NP (DT the) (NN background))))) (. .))) +742,['contradiction'],6300032355.jpg#1,contradiction,6300032355.jpg#1r1c,A young man and young lady dancing on a carpeted floor with a picture from the movie Toy Story on a big screen in the background.,( ( ( A ( young ( man ( and ( young lady ) ) ) ) ) ( ( ( ( dancing on ) ( a ( carpeted floor ) ) ) ( with ( ( a picture ) ( from ( the movie ) ) ) ) ) ( ( Toy Story ) ( on ( ( a ( big screen ) ) ( in ( the background ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN man) (CC and) (JJ young) (NN lady)) (VP (VBG dancing) (PRT (RP on)) (NP (DT a) (VBN carpeted) (NN floor)) (PP (IN with) (NP (NP (DT a) (NN picture)) (PP (IN from) (NP (DT the) (NN movie))))) (NP (NP (NNP Toy) (NNP Story)) (PP (IN on) (NP (NP (DT a) (JJ big) (NN screen)) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),The people dance on the sidewalk.,( ( The people ) ( ( dance ( on ( the sidewalk ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP dance) (PP (IN on) (NP (DT the) (NN sidewalk)))) (. .))) +743,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",6300032355.jpg#1,entailment,6300032355.jpg#1r1e,A young man and young lady dancing on a carpeted floor with a picture from the movie Toy Story on a big screen in the background.,( ( ( A ( young ( man ( and ( young lady ) ) ) ) ) ( ( ( ( dancing on ) ( a ( carpeted floor ) ) ) ( with ( ( a picture ) ( from ( the movie ) ) ) ) ) ( ( Toy Story ) ( on ( ( a ( big screen ) ) ( in ( the background ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN man) (CC and) (JJ young) (NN lady)) (VP (VBG dancing) (PRT (RP on)) (NP (DT a) (VBN carpeted) (NN floor)) (PP (IN with) (NP (NP (DT a) (NN picture)) (PP (IN from) (NP (DT the) (NN movie))))) (NP (NP (NNP Toy) (NNP Story)) (PP (IN on) (NP (NP (DT a) (JJ big) (NN screen)) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),The two people are dancing.,( ( The ( two people ) ) ( ( are dancing ) . ) ),(ROOT (S (NP (DT The) (CD two) (NNS people)) (VP (VBP are) (VP (VBG dancing))) (. .))) +744,['neutral'],3053415073.jpg#0,neutral,3053415073.jpg#0r1n,The skier is wearing a yellow jumpsuit and sliding across a yellow rail.,( ( The skier ) ( ( is ( ( ( wearing ( a ( yellow jumpsuit ) ) ) and ) ( sliding ( across ( a ( yellow rail ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN skier)) (VP (VBZ is) (VP (VP (VBG wearing) (NP (DT a) (JJ yellow) (NN jumpsuit))) (CC and) (VP (VBG sliding) (PP (IN across) (NP (DT a) (JJ yellow) (NN rail)))))) (. .))),The skier is in a competition.,( ( The skier ) ( ( is ( in ( a competition ) ) ) . ) ),(ROOT (S (NP (DT The) (NN skier)) (VP (VBZ is) (PP (IN in) (NP (DT a) (NN competition)))) (. .))) +745,['entailment'],3053415073.jpg#0,entailment,3053415073.jpg#0r1e,The skier is wearing a yellow jumpsuit and sliding across a yellow rail.,( ( The skier ) ( ( is ( ( ( wearing ( a ( yellow jumpsuit ) ) ) and ) ( sliding ( across ( a ( yellow rail ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN skier)) (VP (VBZ is) (VP (VP (VBG wearing) (NP (DT a) (JJ yellow) (NN jumpsuit))) (CC and) (VP (VBG sliding) (PP (IN across) (NP (DT a) (JJ yellow) (NN rail)))))) (. .))),The skier is wearing a jumpsuit.,( ( The skier ) ( ( is ( wearing ( a jumpsuit ) ) ) . ) ),(ROOT (S (NP (DT The) (NN skier)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN jumpsuit)))) (. .))) +746,['contradiction'],3053415073.jpg#0,contradiction,3053415073.jpg#0r1c,The skier is wearing a yellow jumpsuit and sliding across a yellow rail.,( ( The skier ) ( ( is ( ( ( wearing ( a ( yellow jumpsuit ) ) ) and ) ( sliding ( across ( a ( yellow rail ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN skier)) (VP (VBZ is) (VP (VP (VBG wearing) (NP (DT a) (JJ yellow) (NN jumpsuit))) (CC and) (VP (VBG sliding) (PP (IN across) (NP (DT a) (JJ yellow) (NN rail)))))) (. .))),The skateboard is wearing a blue jumpsuit.,( ( The skateboard ) ( ( is ( wearing ( a ( blue jumpsuit ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN skateboard)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN jumpsuit)))) (. .))) +747,['entailment'],4688194296.jpg#4,entailment,4688194296.jpg#4r1e,A track event held by J.P. Morgan Chase with security.,( ( A ( track event ) ) ( ( ( held ( by ( J.P. ( Morgan Chase ) ) ) ) ( with security ) ) . ) ),(ROOT (S (NP (DT A) (NN track) (NN event)) (VP (VBD held) (PP (IN by) (NP (NNP J.P.) (NNP Morgan) (NNP Chase))) (PP (IN with) (NP (NN security)))) (. .))),J.P. Morgan Chase held a track event.,( ( J.P. ( Morgan Chase ) ) ( ( held ( a ( track event ) ) ) . ) ),(ROOT (S (NP (NNP J.P.) (NNP Morgan) (NNP Chase)) (VP (VBD held) (NP (DT a) (NN track) (NN event))) (. .))) +748,['contradiction'],4688194296.jpg#4,contradiction,4688194296.jpg#4r1c,A track event held by J.P. Morgan Chase with security.,( ( A ( track event ) ) ( ( ( held ( by ( J.P. ( Morgan Chase ) ) ) ) ( with security ) ) . ) ),(ROOT (S (NP (DT A) (NN track) (NN event)) (VP (VBD held) (PP (IN by) (NP (NNP J.P.) (NNP Morgan) (NNP Chase))) (PP (IN with) (NP (NN security)))) (. .))),The track event has no security.,( ( The ( track event ) ) ( ( has ( no security ) ) . ) ),(ROOT (S (NP (DT The) (NN track) (NN event)) (VP (VBZ has) (NP (DT no) (NN security))) (. .))) +749,['neutral'],4688194296.jpg#4,neutral,4688194296.jpg#4r1n,A track event held by J.P. Morgan Chase with security.,( ( A ( track event ) ) ( ( ( held ( by ( J.P. ( Morgan Chase ) ) ) ) ( with security ) ) . ) ),(ROOT (S (NP (DT A) (NN track) (NN event)) (VP (VBD held) (PP (IN by) (NP (NNP J.P.) (NNP Morgan) (NNP Chase))) (PP (IN with) (NP (NN security)))) (. .))),Security guards are searching for weapons at a track event.,( ( Security guards ) ( ( are ( searching ( for ( weapons ( at ( a ( track event ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Security) (NNS guards)) (VP (VBP are) (VP (VBG searching) (PP (IN for) (NP (NP (NNS weapons)) (PP (IN at) (NP (DT a) (NN track) (NN event))))))) (. .))) +750,"['neutral', 'entailment', 'neutral', 'entailment', 'neutral']",6300032355.jpg#4,neutral,6300032355.jpg#4r1n,"Two people dancing, wearing dance costumes.","( ( ( Two people ) ( ( dancing , ) ( wearing ( dance costumes ) ) ) ) . )","(ROOT (NP (NP (CD Two) (NNS people)) (VP (VP (VBG dancing)) (, ,) (VP (VBG wearing) (NP (NN dance) (NNS costumes)))) (. .)))",The couple are dancing together.,( ( The couple ) ( ( are ( dancing together ) ) . ) ),(ROOT (S (NP (DT The) (NN couple)) (VP (VBP are) (VP (VBG dancing) (ADVP (RB together)))) (. .))) +751,['entailment'],6300032355.jpg#4,entailment,6300032355.jpg#4r1e,"Two people dancing, wearing dance costumes.","( ( ( Two people ) ( ( dancing , ) ( wearing ( dance costumes ) ) ) ) . )","(ROOT (NP (NP (CD Two) (NNS people)) (VP (VP (VBG dancing)) (, ,) (VP (VBG wearing) (NP (NN dance) (NNS costumes)))) (. .)))",The people are moving.,( ( The people ) ( ( are moving ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG moving))) (. .))) +752,['contradiction'],6300032355.jpg#4,contradiction,6300032355.jpg#4r1c,"Two people dancing, wearing dance costumes.","( ( ( Two people ) ( ( dancing , ) ( wearing ( dance costumes ) ) ) ) . )","(ROOT (NP (NP (CD Two) (NNS people)) (VP (VP (VBG dancing)) (, ,) (VP (VBG wearing) (NP (NN dance) (NNS costumes)))) (. .)))",Two people are eating dinner.,( ( Two people ) ( ( are ( eating dinner ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (VP (VBG eating) (NP (NN dinner)))) (. .))) +753,['contradiction'],2848418175.jpg#4,contradiction,2848418175.jpg#4r1c,An english farmer with a horse pulled wagon.,( ( ( An ( english farmer ) ) ( with ( a horse ) ) ) ( ( pulled wagon ) . ) ),(ROOT (S (NP (NP (DT An) (JJ english) (NN farmer)) (PP (IN with) (NP (DT a) (NN horse)))) (VP (VBD pulled) (NP (NN wagon))) (. .))),There is a farmer laying down outdoors,( There ( is ( ( a farmer ) ( ( laying down ) outdoors ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN farmer)) (VP (VBG laying) (PRT (RP down)) (ADVP (RB outdoors))))))) +754,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",2848418175.jpg#4,entailment,2848418175.jpg#4r1e,An english farmer with a horse pulled wagon.,( ( ( An ( english farmer ) ) ( with ( a horse ) ) ) ( ( pulled wagon ) . ) ),(ROOT (S (NP (NP (DT An) (JJ english) (NN farmer)) (PP (IN with) (NP (DT a) (NN horse)))) (VP (VBD pulled) (NP (NN wagon))) (. .))),There is a farmer with a horse wagon,( There ( is ( ( a farmer ) ( with ( a ( horse wagon ) ) ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN farmer)) (PP (IN with) (NP (DT a) (NN horse) (NN wagon))))))) +755,['neutral'],2848418175.jpg#4,neutral,2848418175.jpg#4r1n,An english farmer with a horse pulled wagon.,( ( ( An ( english farmer ) ) ( with ( a horse ) ) ) ( ( pulled wagon ) . ) ),(ROOT (S (NP (NP (DT An) (JJ english) (NN farmer)) (PP (IN with) (NP (DT a) (NN horse)))) (VP (VBD pulled) (NP (NN wagon))) (. .))),There is a farmer riding a wagon outdoors,( There ( is ( ( a farmer ) ( ( riding ( a wagon ) ) outdoors ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN farmer)) (VP (VBG riding) (NP (DT a) (NN wagon)) (ADVP (RB outdoors))))))) +756,['contradiction'],4444452893.jpg#1,contradiction,4444452893.jpg#1r1c,Children's soccer game being played while the sun sets in the background.,( ( ( Children 's ) ( soccer ( game being ) ) ) ( ( played ( while ( ( the sun ) ( sets ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Children) (POS 's)) (NN soccer) (NN game) (NN being)) (VP (VBD played) (SBAR (IN while) (S (NP (DT the) (NN sun)) (VP (VBZ sets) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),Old men playing soccer while the sun sets.,( ( ( Old men ) ( ( playing soccer ) ( while ( ( the sun ) sets ) ) ) ) . ),(ROOT (NP (NP (JJ Old) (NNS men)) (VP (VBG playing) (NP (NN soccer)) (SBAR (IN while) (S (NP (DT the) (NN sun)) (VP (VBZ sets))))) (. .))) +757,['entailment'],4444452893.jpg#1,entailment,4444452893.jpg#1r1e,Children's soccer game being played while the sun sets in the background.,( ( ( Children 's ) ( soccer ( game being ) ) ) ( ( played ( while ( ( the sun ) ( sets ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Children) (POS 's)) (NN soccer) (NN game) (NN being)) (VP (VBD played) (SBAR (IN while) (S (NP (DT the) (NN sun)) (VP (VBZ sets) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),Children playing soccer while the sun sets.,( ( Children ( ( playing soccer ) ( while ( ( the sun ) sets ) ) ) ) . ),(ROOT (NP (NP (NNS Children)) (VP (VBG playing) (NP (NN soccer)) (SBAR (IN while) (S (NP (DT the) (NN sun)) (VP (VBZ sets))))) (. .))) +758,['neutral'],4444452893.jpg#1,neutral,4444452893.jpg#1r1n,Children's soccer game being played while the sun sets in the background.,( ( ( Children 's ) ( soccer ( game being ) ) ) ( ( played ( while ( ( the sun ) ( sets ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Children) (POS 's)) (NN soccer) (NN game) (NN being)) (VP (VBD played) (SBAR (IN while) (S (NP (DT the) (NN sun)) (VP (VBZ sets) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),Girls playing soccer while the sun sets.,( ( Girls ( ( playing soccer ) ( while ( ( the sun ) sets ) ) ) ) . ),(ROOT (NP (NP (NNS Girls)) (VP (VBG playing) (NP (NN soccer)) (SBAR (IN while) (S (NP (DT the) (NN sun)) (VP (VBZ sets))))) (. .))) +759,['contradiction'],4444452893.jpg#0,contradiction,4444452893.jpg#0r1c,A soccer game played by a blue team and a red team on a perfectly manicured field at dusk.,( ( A ( soccer game ) ) ( ( ( played ( by ( ( ( a ( blue team ) ) and ) ( a ( red team ) ) ) ) ) ( on ( ( a ( ( perfectly manicured ) field ) ) ( at dusk ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN soccer) (NN game)) (VP (VBD played) (PP (IN by) (NP (NP (DT a) (JJ blue) (NN team)) (CC and) (NP (DT a) (JJ red) (NN team)))) (PP (IN on) (NP (NP (DT a) (ADJP (RB perfectly) (JJ manicured)) (NN field)) (PP (IN at) (NP (NN dusk)))))) (. .))),No one is playing soccer.,( ( No one ) ( ( is ( playing soccer ) ) . ) ),(ROOT (S (NP (DT No) (NN one)) (VP (VBZ is) (VP (VBG playing) (NP (NN soccer)))) (. .))) +760,['neutral'],4444452893.jpg#0,neutral,4444452893.jpg#0r1n,A soccer game played by a blue team and a red team on a perfectly manicured field at dusk.,( ( A ( soccer game ) ) ( ( ( played ( by ( ( ( a ( blue team ) ) and ) ( a ( red team ) ) ) ) ) ( on ( ( a ( ( perfectly manicured ) field ) ) ( at dusk ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN soccer) (NN game)) (VP (VBD played) (PP (IN by) (NP (NP (DT a) (JJ blue) (NN team)) (CC and) (NP (DT a) (JJ red) (NN team)))) (PP (IN on) (NP (NP (DT a) (ADJP (RB perfectly) (JJ manicured)) (NN field)) (PP (IN at) (NP (NN dusk)))))) (. .))),People are playing soccer for a competition.,( People ( ( are ( playing ( soccer ( for ( a competition ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG playing) (NP (NP (NN soccer)) (PP (IN for) (NP (DT a) (NN competition)))))) (. .))) +761,['entailment'],4444452893.jpg#0,entailment,4444452893.jpg#0r1e,A soccer game played by a blue team and a red team on a perfectly manicured field at dusk.,( ( A ( soccer game ) ) ( ( ( played ( by ( ( ( a ( blue team ) ) and ) ( a ( red team ) ) ) ) ) ( on ( ( a ( ( perfectly manicured ) field ) ) ( at dusk ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN soccer) (NN game)) (VP (VBD played) (PP (IN by) (NP (NP (DT a) (JJ blue) (NN team)) (CC and) (NP (DT a) (JJ red) (NN team)))) (PP (IN on) (NP (NP (DT a) (ADJP (RB perfectly) (JJ manicured)) (NN field)) (PP (IN at) (NP (NN dusk)))))) (. .))),People are playing soccer.,( People ( ( are ( playing soccer ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG playing) (NP (NN soccer)))) (. .))) +762,['neutral'],4444452893.jpg#3,neutral,4444452893.jpg#3r1n,Two soccer teams are competing on a soccer field.,( ( Two ( soccer teams ) ) ( ( are ( competing ( on ( a ( soccer field ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NN soccer) (NNS teams)) (VP (VBP are) (VP (VBG competing) (PP (IN on) (NP (DT a) (NN soccer) (NN field))))) (. .))),Two skilled soccer teams are competing against one another for the championship.,( ( Two ( skilled ( soccer teams ) ) ) ( ( are ( ( competing ( against ( one another ) ) ) ( for ( the championship ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ skilled) (NN soccer) (NNS teams)) (VP (VBP are) (VP (VBG competing) (PP (IN against) (NP (CD one) (DT another))) (PP (IN for) (NP (DT the) (NN championship))))) (. .))) +763,['entailment'],4444452893.jpg#3,entailment,4444452893.jpg#3r1e,Two soccer teams are competing on a soccer field.,( ( Two ( soccer teams ) ) ( ( are ( competing ( on ( a ( soccer field ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NN soccer) (NNS teams)) (VP (VBP are) (VP (VBG competing) (PP (IN on) (NP (DT a) (NN soccer) (NN field))))) (. .))),There is a soccer game.,( There ( ( is ( a ( soccer game ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (DT a) (NN soccer) (NN game))) (. .))) +764,['contradiction'],4444452893.jpg#3,contradiction,4444452893.jpg#3r1c,Two soccer teams are competing on a soccer field.,( ( Two ( soccer teams ) ) ( ( are ( competing ( on ( a ( soccer field ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NN soccer) (NNS teams)) (VP (VBP are) (VP (VBG competing) (PP (IN on) (NP (DT a) (NN soccer) (NN field))))) (. .))),Two baseball teams are competing.,( ( Two ( baseball teams ) ) ( ( are competing ) . ) ),(ROOT (S (NP (CD Two) (NN baseball) (NNS teams)) (VP (VBP are) (VP (VBG competing))) (. .))) +765,['entailment'],4444452893.jpg#2,entailment,4444452893.jpg#2r1e,Soccer teams play on a field as the sun sets behind a line of trees.,( ( Soccer teams ) ( ( ( play ( on ( a field ) ) ) ( as ( ( the sun ) ( sets ( behind ( ( a line ) ( of trees ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Soccer) (NNS teams)) (VP (VBP play) (PP (IN on) (NP (DT a) (NN field))) (SBAR (IN as) (S (NP (DT the) (NN sun)) (VP (VBZ sets) (PP (IN behind) (NP (NP (DT a) (NN line)) (PP (IN of) (NP (NNS trees))))))))) (. .))),Soccer teams are competing outdoors.,( ( Soccer teams ) ( ( are ( competing outdoors ) ) . ) ),(ROOT (S (NP (NNP Soccer) (NNS teams)) (VP (VBP are) (VP (VBG competing) (ADVP (RB outdoors)))) (. .))) +766,['contradiction'],4444452893.jpg#2,contradiction,4444452893.jpg#2r1c,Soccer teams play on a field as the sun sets behind a line of trees.,( ( Soccer teams ) ( ( ( play ( on ( a field ) ) ) ( as ( ( the sun ) ( sets ( behind ( ( a line ) ( of trees ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Soccer) (NNS teams)) (VP (VBP play) (PP (IN on) (NP (DT a) (NN field))) (SBAR (IN as) (S (NP (DT the) (NN sun)) (VP (VBZ sets) (PP (IN behind) (NP (NP (DT a) (NN line)) (PP (IN of) (NP (NNS trees))))))))) (. .))),A football team is playing hockey against a soccer team in an ice rink.,( ( A ( football team ) ) ( ( is ( ( playing hockey ) ( against ( ( a ( soccer team ) ) ( in ( an ( ice rink ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN football) (NN team)) (VP (VBZ is) (VP (VBG playing) (NP (NN hockey)) (PP (IN against) (NP (NP (DT a) (NN soccer) (NN team)) (PP (IN in) (NP (DT an) (NN ice) (NN rink))))))) (. .))) +767,['neutral'],4444452893.jpg#2,neutral,4444452893.jpg#2r1n,Soccer teams play on a field as the sun sets behind a line of trees.,( ( Soccer teams ) ( ( ( play ( on ( a field ) ) ) ( as ( ( the sun ) ( sets ( behind ( ( a line ) ( of trees ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Soccer) (NNS teams)) (VP (VBP play) (PP (IN on) (NP (DT a) (NN field))) (SBAR (IN as) (S (NP (DT the) (NN sun)) (VP (VBZ sets) (PP (IN behind) (NP (NP (DT a) (NN line)) (PP (IN of) (NP (NNS trees))))))))) (. .))),A soccer team is about to win a soccer game.,( ( A ( soccer team ) ) ( ( is ( about ( to ( win ( a ( soccer game ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN soccer) (NN team)) (VP (VBZ is) (VP (IN about) (S (VP (TO to) (VP (VB win) (NP (DT a) (NN soccer) (NN game))))))) (. .))) +768,['contradiction'],4337739734.jpg#3,contradiction,4337739734.jpg#3r1c,two men serving preparing food.,( ( ( two men ) ( serving ( preparing food ) ) ) . ),(ROOT (NP (NP (CD two) (NNS men)) (VP (VBG serving) (S (VP (VBG preparing) (NP (NN food))))) (. .))),Two men riding bikes.,( ( ( Two men ) ( riding bikes ) ) . ),(ROOT (NP (NP (CD Two) (NNS men)) (VP (VBG riding) (NP (NNS bikes))) (. .))) +769,['neutral'],4337739734.jpg#3,neutral,4337739734.jpg#3r1n,two men serving preparing food.,( ( ( two men ) ( serving ( preparing food ) ) ) . ),(ROOT (NP (NP (CD two) (NNS men)) (VP (VBG serving) (S (VP (VBG preparing) (NP (NN food))))) (. .))),Two men wearing aprons.,( ( ( Two men ) ( wearing aprons ) ) . ),(ROOT (NP (NP (CD Two) (NNS men)) (VP (VBG wearing) (NP (NNS aprons))) (. .))) +770,['entailment'],4337739734.jpg#3,entailment,4337739734.jpg#3r1e,two men serving preparing food.,( ( ( two men ) ( serving ( preparing food ) ) ) . ),(ROOT (NP (NP (CD two) (NNS men)) (VP (VBG serving) (S (VP (VBG preparing) (NP (NN food))))) (. .))),Two men serving food.,( ( ( Two men ) ( serving food ) ) . ),(ROOT (NP (NP (CD Two) (NNS men)) (VP (VBG serving) (NP (NN food))) (. .))) +771,['entailment'],4444452893.jpg#4,entailment,4444452893.jpg#4r1e,A soccer game occurring at sunset.,( ( ( A ( soccer game ) ) ( occurring ( at sunset ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (VP (VBG occurring) (PP (IN at) (NP (NN sunset)))) (. .))),a sports game is being played,( ( a ( sports game ) ) ( is ( being played ) ) ),(ROOT (S (NP (DT a) (NNS sports) (NN game)) (VP (VBZ is) (VP (VBG being) (VP (VBN played)))))) +772,['neutral'],4444452893.jpg#4,neutral,4444452893.jpg#4r1n,A soccer game occurring at sunset.,( ( ( A ( soccer game ) ) ( occurring ( at sunset ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (VP (VBG occurring) (PP (IN at) (NP (NN sunset)))) (. .))),the world cup is being played,( ( the ( world cup ) ) ( is ( being played ) ) ),(ROOT (S (NP (DT the) (NN world) (NN cup)) (VP (VBZ is) (VP (VBG being) (VP (VBN played)))))) +773,['contradiction'],4444452893.jpg#4,contradiction,4444452893.jpg#4r1c,A soccer game occurring at sunset.,( ( ( A ( soccer game ) ) ( occurring ( at sunset ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (VP (VBG occurring) (PP (IN at) (NP (NN sunset)))) (. .))),a basketball game is ocurring at sunrise,( ( a ( basketball game ) ) ( is ( ocurring ( at sunrise ) ) ) ),(ROOT (S (NP (DT a) (NN basketball) (NN game)) (VP (VBZ is) (VP (VBG ocurring) (PP (IN at) (NP (NN sunrise))))))) +774,['contradiction'],4770171876.jpg#1,contradiction,4770171876.jpg#1r1c,White small child wearing a brown and gray striped hoodie plays at park.,( ( ( White ( small child ) ) ( wearing ( a ( ( ( brown and ) gray ) ( striped hoodie ) ) ) ) ) ( ( plays ( at park ) ) . ) ),(ROOT (S (NP (NP (NNP White) (JJ small) (NN child)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ brown) (CC and) (JJ gray)) (JJ striped) (NN hoodie)))) (VP (VBZ plays) (PP (IN at) (NP (NN park)))) (. .))),A small child is playing video games in his bedroom.,( ( A ( small child ) ) ( ( is ( ( playing ( video games ) ) ( in ( his bedroom ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ small) (NN child)) (VP (VBZ is) (VP (VBG playing) (NP (JJ video) (NNS games)) (PP (IN in) (NP (PRP$ his) (NN bedroom))))) (. .))) +775,['entailment'],4770171876.jpg#1,entailment,4770171876.jpg#1r1e,White small child wearing a brown and gray striped hoodie plays at park.,( ( ( White ( small child ) ) ( wearing ( a ( ( ( brown and ) gray ) ( striped hoodie ) ) ) ) ) ( ( plays ( at park ) ) . ) ),(ROOT (S (NP (NP (NNP White) (JJ small) (NN child)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ brown) (CC and) (JJ gray)) (JJ striped) (NN hoodie)))) (VP (VBZ plays) (PP (IN at) (NP (NN park)))) (. .))),A child plays at a park.,( ( A child ) ( ( plays ( at ( a park ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ plays) (PP (IN at) (NP (DT a) (NN park)))) (. .))) +776,['neutral'],4770171876.jpg#1,neutral,4770171876.jpg#1r1n,White small child wearing a brown and gray striped hoodie plays at park.,( ( ( White ( small child ) ) ( wearing ( a ( ( ( brown and ) gray ) ( striped hoodie ) ) ) ) ) ( ( plays ( at park ) ) . ) ),(ROOT (S (NP (NP (NNP White) (JJ small) (NN child)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ brown) (CC and) (JJ gray)) (JJ striped) (NN hoodie)))) (VP (VBZ plays) (PP (IN at) (NP (NN park)))) (. .))),A small boy is playing tag at a park with his friends.,( ( A ( small boy ) ) ( ( is ( ( playing tag ) ( at ( ( a park ) ( with ( his friends ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ small) (NN boy)) (VP (VBZ is) (VP (VBG playing) (NP (NN tag)) (PP (IN at) (NP (NP (DT a) (NN park)) (PP (IN with) (NP (PRP$ his) (NNS friends))))))) (. .))) +777,['entailment'],4770171876.jpg#2,entailment,4770171876.jpg#2r1e,A little boy in brown pants is playing on ropes at a park.,( ( ( A ( little boy ) ) ( in ( brown pants ) ) ) ( ( is ( playing ( on ( ropes ( at ( a park ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ little) (NN boy)) (PP (IN in) (NP (JJ brown) (NNS pants)))) (VP (VBZ is) (VP (VBG playing) (PP (IN on) (NP (NP (NNS ropes)) (PP (IN at) (NP (DT a) (NN park))))))) (. .))),There is a little boy in brown pants.,( There ( ( is ( ( a ( little boy ) ) ( in ( brown pants ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (JJ little) (NN boy)) (PP (IN in) (NP (JJ brown) (NNS pants))))) (. .))) +778,['contradiction'],4770171876.jpg#2,contradiction,4770171876.jpg#2r1c,A little boy in brown pants is playing on ropes at a park.,( ( ( A ( little boy ) ) ( in ( brown pants ) ) ) ( ( is ( playing ( on ( ropes ( at ( a park ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ little) (NN boy)) (PP (IN in) (NP (JJ brown) (NNS pants)))) (VP (VBZ is) (VP (VBG playing) (PP (IN on) (NP (NP (NNS ropes)) (PP (IN at) (NP (DT a) (NN park))))))) (. .))),There is a little girl in red pants.,( There ( ( is ( ( a ( little girl ) ) ( in ( red pants ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (JJ little) (NN girl)) (PP (IN in) (NP (JJ red) (NNS pants))))) (. .))) +779,['neutral'],4770171876.jpg#2,neutral,4770171876.jpg#2r1n,A little boy in brown pants is playing on ropes at a park.,( ( ( A ( little boy ) ) ( in ( brown pants ) ) ) ( ( is ( playing ( on ( ropes ( at ( a park ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ little) (NN boy)) (PP (IN in) (NP (JJ brown) (NNS pants)))) (VP (VBZ is) (VP (VBG playing) (PP (IN on) (NP (NP (NNS ropes)) (PP (IN at) (NP (DT a) (NN park))))))) (. .))),There is a little boy who likes the color brown.,( There ( ( is ( ( a ( little boy ) ) ( who ( likes ( ( the color ) brown ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (JJ little) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ likes) (S (NP (DT the) (NN color)) (ADJP (JJ brown)))))))) (. .))) +780,['neutral'],4770171876.jpg#3,neutral,4770171876.jpg#3r1n,Toddler in striped sweatshirt plays on rope on playground.,( ( Toddler ( in ( striped sweatshirt ) ) ) ( ( plays ( on ( rope ( on playground ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Toddler)) (PP (IN in) (NP (JJ striped) (NN sweatshirt)))) (VP (VBZ plays) (PP (IN on) (NP (NP (NN rope)) (PP (IN on) (NP (NN playground)))))) (. .))),A child takes a break from school.,( ( A child ) ( ( ( takes ( a break ) ) ( from school ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ takes) (NP (DT a) (NN break)) (PP (IN from) (NP (NN school)))) (. .))) +781,['contradiction'],4770171876.jpg#3,contradiction,4770171876.jpg#3r1c,Toddler in striped sweatshirt plays on rope on playground.,( ( Toddler ( in ( striped sweatshirt ) ) ) ( ( plays ( on ( rope ( on playground ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Toddler)) (PP (IN in) (NP (JJ striped) (NN sweatshirt)))) (VP (VBZ plays) (PP (IN on) (NP (NP (NN rope)) (PP (IN on) (NP (NN playground)))))) (. .))),A child is napping.,( ( A child ) ( ( is napping ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ is) (VP (VBG napping))) (. .))) +782,['entailment'],4770171876.jpg#3,entailment,4770171876.jpg#3r1e,Toddler in striped sweatshirt plays on rope on playground.,( ( Toddler ( in ( striped sweatshirt ) ) ) ( ( plays ( on ( rope ( on playground ) ) ) ) . ) ),(ROOT (S (NP (NP (NNP Toddler)) (PP (IN in) (NP (JJ striped) (NN sweatshirt)))) (VP (VBZ plays) (PP (IN on) (NP (NP (NN rope)) (PP (IN on) (NP (NN playground)))))) (. .))),A child plays on a playground.,( ( A child ) ( ( plays ( on ( a playground ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ plays) (PP (IN on) (NP (DT a) (NN playground)))) (. .))) +783,"['entailment', 'entailment', 'neutral', 'neutral', 'contradiction']",226630666.jpg#1,-,226630666.jpg#1r1e,A woman wearing a pink hat is looking at a pink car with the truck open.,( ( ( A woman ) ( wearing ( a ( pink hat ) ) ) ) ( ( is ( looking ( at ( ( a ( pink car ) ) ( with ( the ( truck open ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ pink) (NN hat)))) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (JJ pink) (NN car)) (PP (IN with) (NP (DT the) (NN truck) (NN open))))))) (. .))),The woman is wearing clothes.,( ( The woman ) ( ( is ( wearing clothes ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (NP (NNS clothes)))) (. .))) +784,['neutral'],226630666.jpg#1,neutral,226630666.jpg#1r1n,A woman wearing a pink hat is looking at a pink car with the truck open.,( ( ( A woman ) ( wearing ( a ( pink hat ) ) ) ) ( ( is ( looking ( at ( ( a ( pink car ) ) ( with ( the ( truck open ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ pink) (NN hat)))) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (JJ pink) (NN car)) (PP (IN with) (NP (DT the) (NN truck) (NN open))))))) (. .))),The woman is wondering if she left her car open.,( ( The woman ) ( ( is ( wondering ( if ( she ( left ( ( her car ) open ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG wondering) (SBAR (IN if) (S (NP (PRP she)) (VP (VBD left) (S (NP (PRP$ her) (NN car)) (ADJP (JJ open)))))))) (. .))) +785,['contradiction'],226630666.jpg#1,contradiction,226630666.jpg#1r1c,A woman wearing a pink hat is looking at a pink car with the truck open.,( ( ( A woman ) ( wearing ( a ( pink hat ) ) ) ) ( ( is ( looking ( at ( ( a ( pink car ) ) ( with ( the ( truck open ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ pink) (NN hat)))) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (JJ pink) (NN car)) (PP (IN with) (NP (DT the) (NN truck) (NN open))))))) (. .))),The woman is wearing a grocery bag to her car.,( ( The woman ) ( ( is ( ( wearing ( a ( grocery bag ) ) ) ( to ( her car ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN grocery) (NN bag)) (PP (TO to) (NP (PRP$ her) (NN car))))) (. .))) +786,['neutral'],3710607005.jpg#4,neutral,3710607005.jpg#4r1n,A man in a blue shirt is looking up.,( ( ( A man ) ( in ( a ( blue shirt ) ) ) ) ( ( is ( looking up ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ is) (VP (VBG looking) (PRT (RP up)))) (. .))),A man in a blue shirt is looking up at a dog.,( ( ( A man ) ( in ( a ( blue shirt ) ) ) ) ( ( is ( ( looking up ) ( at ( a dog ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ is) (VP (VBG looking) (PRT (RP up)) (PP (IN at) (NP (DT a) (NN dog))))) (. .))) +787,['contradiction'],3710607005.jpg#4,contradiction,3710607005.jpg#4r1c,A man in a blue shirt is looking up.,( ( ( A man ) ( in ( a ( blue shirt ) ) ) ) ( ( is ( looking up ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ is) (VP (VBG looking) (PRT (RP up)))) (. .))),A man in a red shirt is looking up.,( ( ( A man ) ( in ( a ( red shirt ) ) ) ) ( ( is ( looking up ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG looking) (PRT (RP up)))) (. .))) +788,['entailment'],3710607005.jpg#4,entailment,3710607005.jpg#4r1e,A man in a blue shirt is looking up.,( ( ( A man ) ( in ( a ( blue shirt ) ) ) ) ( ( is ( looking up ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ is) (VP (VBG looking) (PRT (RP up)))) (. .))),A person looks up.,( ( A person ) ( ( looks up ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ looks) (PRT (RP up))) (. .))) +789,['entailment'],482047956.jpg#2,entailment,482047956.jpg#2r1e,Three girls on an amusement ride enjoying themselves.,( ( ( Three girls ) ( on ( an amusement ) ) ) ( ( ride ( enjoying themselves ) ) . ) ),(ROOT (S (NP (NP (CD Three) (NNS girls)) (PP (IN on) (NP (DT an) (NN amusement)))) (VP (VBP ride) (S (VP (VBG enjoying) (NP (PRP themselves))))) (. .))),There are three girls,( There ( are ( three girls ) ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (CD three) (NNS girls))))) +790,['contradiction'],482047956.jpg#2,contradiction,482047956.jpg#2r1c,Three girls on an amusement ride enjoying themselves.,( ( ( Three girls ) ( on ( an amusement ) ) ) ( ( ride ( enjoying themselves ) ) . ) ),(ROOT (S (NP (NP (CD Three) (NNS girls)) (PP (IN on) (NP (DT an) (NN amusement)))) (VP (VBP ride) (S (VP (VBG enjoying) (NP (PRP themselves))))) (. .))),The girls are at home,( ( The girls ) ( are ( at home ) ) ),(ROOT (S (NP (DT The) (NNS girls)) (VP (VBP are) (PP (IN at) (NP (NN home)))))) +791,['neutral'],482047956.jpg#2,neutral,482047956.jpg#2r1n,Three girls on an amusement ride enjoying themselves.,( ( ( Three girls ) ( on ( an amusement ) ) ) ( ( ride ( enjoying themselves ) ) . ) ),(ROOT (S (NP (NP (CD Three) (NNS girls)) (PP (IN on) (NP (DT an) (NN amusement)))) (VP (VBP ride) (S (VP (VBG enjoying) (NP (PRP themselves))))) (. .))),The girls like amusment parks,( ( The girls ) ( like ( amusment parks ) ) ),(ROOT (NP (NP (DT The) (NNS girls)) (PP (IN like) (NP (JJ amusment) (NNS parks))))) +792,['neutral'],5684720360.jpg#1,neutral,5684720360.jpg#1r1n,Woman at Walmart check-out having her groceries bagged by an employee.,( ( Woman ( at ( ( Walmart check-out ) ( having ( her groceries ) ) ) ) ) ( ( bagged ( by ( an employee ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (IN at) (NP (NP (NNP Walmart) (NN check-out)) (VP (VBG having) (NP (PRP$ her) (NNS groceries)))))) (VP (VBD bagged) (PP (IN by) (NP (DT an) (NN employee)))) (. .))),The woman bought unhealthy food,( ( The woman ) ( bought ( unhealthy food ) ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBD bought) (NP (JJ unhealthy) (NN food))))) +793,['contradiction'],5684720360.jpg#1,contradiction,5684720360.jpg#1r1c,Woman at Walmart check-out having her groceries bagged by an employee.,( ( Woman ( at ( ( Walmart check-out ) ( having ( her groceries ) ) ) ) ) ( ( bagged ( by ( an employee ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (IN at) (NP (NP (NNP Walmart) (NN check-out)) (VP (VBG having) (NP (PRP$ her) (NNS groceries)))))) (VP (VBD bagged) (PP (IN by) (NP (DT an) (NN employee)))) (. .))),The woman is in Target,( ( The woman ) ( is ( in Target ) ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (PP (IN in) (NP (NNP Target)))))) +794,['entailment'],5684720360.jpg#1,entailment,5684720360.jpg#1r1e,Woman at Walmart check-out having her groceries bagged by an employee.,( ( Woman ( at ( ( Walmart check-out ) ( having ( her groceries ) ) ) ) ) ( ( bagged ( by ( an employee ) ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (PP (IN at) (NP (NP (NNP Walmart) (NN check-out)) (VP (VBG having) (NP (PRP$ her) (NNS groceries)))))) (VP (VBD bagged) (PP (IN by) (NP (DT an) (NN employee)))) (. .))),A woman is in Walmart,( ( A woman ) ( is ( in Walmart ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (PP (IN in) (NP (NNP Walmart)))))) +795,['contradiction'],262642489.jpg#4,contradiction,262642489.jpg#4r1c,Brown dog treads through water.,( ( Brown dog ) ( ( treads ( through water ) ) . ) ),(ROOT (S (NP (NNP Brown) (NN dog)) (VP (VBZ treads) (PP (IN through) (NP (NN water)))) (. .))),Brown dog is sleeping next to the water,( ( Brown dog ) ( is ( ( sleeping next ) ( to ( the water ) ) ) ) ),(ROOT (S (NP (NNP Brown) (NN dog)) (VP (VBZ is) (VP (VBG sleeping) (ADVP (JJ next)) (PP (TO to) (NP (DT the) (NN water))))))) +796,['entailment'],262642489.jpg#4,entailment,262642489.jpg#4r1e,Brown dog treads through water.,( ( Brown dog ) ( ( treads ( through water ) ) . ) ),(ROOT (S (NP (NNP Brown) (NN dog)) (VP (VBZ treads) (PP (IN through) (NP (NN water)))) (. .))),Brown dog treads through water as he is soaked in water,( ( Brown dog ) ( ( treads ( through water ) ) ( as ( he ( is ( soaked ( in water ) ) ) ) ) ) ),(ROOT (S (NP (NNP Brown) (NN dog)) (VP (VBZ treads) (PP (IN through) (NP (NN water))) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ is) (VP (VBN soaked) (PP (IN in) (NP (NN water)))))))))) +797,"['neutral', 'neutral', 'neutral', 'neutral', 'entailment']",262642489.jpg#4,neutral,262642489.jpg#4r1n,Brown dog treads through water.,( ( Brown dog ) ( ( treads ( through water ) ) . ) ),(ROOT (S (NP (NNP Brown) (NN dog)) (VP (VBZ treads) (PP (IN through) (NP (NN water)))) (. .))),Brown dog treads through water as he swims towards shore,( ( Brown dog ) ( ( treads ( through water ) ) ( as ( he ( swims ( towards shore ) ) ) ) ) ),(ROOT (S (NP (NNP Brown) (NN dog)) (VP (VBZ treads) (PP (IN through) (NP (NN water))) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ swims) (PP (IN towards) (NP (NN shore))))))))) +798,['contradiction'],5684720360.jpg#3,contradiction,5684720360.jpg#3r1c,A woman is waiting with children as she is checked out at Walmart.,( ( A woman ) ( ( is ( ( waiting ( with children ) ) ( as ( she ( is ( ( checked out ) ( at Walmart ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG waiting) (PP (IN with) (NP (NNS children))) (SBAR (IN as) (S (NP (PRP she)) (VP (VBZ is) (VP (VBN checked) (PRT (RP out)) (PP (IN at) (NP (NNP Walmart))))))))) (. .))),A woman is standing at the counter at Target.,( ( A woman ) ( ( is ( standing ( at ( ( the counter ) ( at Target ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG standing) (PP (IN at) (NP (NP (DT the) (NN counter)) (PP (IN at) (NP (NNP Target))))))) (. .))) +799,['entailment'],5684720360.jpg#3,entailment,5684720360.jpg#3r1e,A woman is waiting with children as she is checked out at Walmart.,( ( A woman ) ( ( is ( ( waiting ( with children ) ) ( as ( she ( is ( ( checked out ) ( at Walmart ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG waiting) (PP (IN with) (NP (NNS children))) (SBAR (IN as) (S (NP (PRP she)) (VP (VBZ is) (VP (VBN checked) (PRT (RP out)) (PP (IN at) (NP (NNP Walmart))))))))) (. .))),A woman has children with her at the check out counter.,( ( A woman ) ( ( ( has ( children ( with her ) ) ) ( at ( ( the check ) ( out counter ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ has) (NP (NP (NNS children)) (PP (IN with) (NP (PRP her)))) (PP (IN at) (NP (NP (DT the) (NN check)) (PP (IN out) (NP (NN counter)))))) (. .))) +800,['neutral'],5684720360.jpg#3,neutral,5684720360.jpg#3r1n,A woman is waiting with children as she is checked out at Walmart.,( ( A woman ) ( ( is ( ( waiting ( with children ) ) ( as ( she ( is ( ( checked out ) ( at Walmart ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG waiting) (PP (IN with) (NP (NNS children))) (SBAR (IN as) (S (NP (PRP she)) (VP (VBZ is) (VP (VBN checked) (PRT (RP out)) (PP (IN at) (NP (NNP Walmart))))))))) (. .))),A woman has three children with her.,( ( A woman ) ( ( has ( ( three children ) ( with her ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ has) (NP (NP (CD three) (NNS children)) (PP (IN with) (NP (PRP her))))) (. .))) +801,['neutral'],5684720360.jpg#2,neutral,5684720360.jpg#2r1n,A blond woman with two children is checking out at a Walmart register.,( ( ( A ( blond woman ) ) ( with ( two children ) ) ) ( ( is ( ( checking out ) ( at ( a ( Walmart register ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ blond) (NN woman)) (PP (IN with) (NP (CD two) (NNS children)))) (VP (VBZ is) (VP (VBG checking) (PRT (RP out)) (PP (IN at) (NP (DT a) (NNP Walmart) (NN register))))) (. .))),A mother is with her two children at Walmart buying food,( ( A mother ) ( is ( with ( ( her ( two children ) ) ( at ( Walmart ( buying food ) ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN mother)) (VP (VBZ is) (PP (IN with) (NP (NP (PRP$ her) (CD two) (NNS children)) (PP (IN at) (NP (NNP Walmart) (NN buying) (NN food)))))))) +802,['contradiction'],5684720360.jpg#2,contradiction,5684720360.jpg#2r1c,A blond woman with two children is checking out at a Walmart register.,( ( ( A ( blond woman ) ) ( with ( two children ) ) ) ( ( is ( ( checking out ) ( at ( a ( Walmart register ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ blond) (NN woman)) (PP (IN with) (NP (CD two) (NNS children)))) (VP (VBZ is) (VP (VBG checking) (PRT (RP out)) (PP (IN at) (NP (DT a) (NNP Walmart) (NN register))))) (. .))),Food makes people hungry,( Food ( makes ( people hungry ) ) ),(ROOT (S (NP (NNP Food)) (VP (VBZ makes) (S (NP (NNS people)) (ADJP (JJ hungry)))))) +803,['entailment'],5684720360.jpg#2,entailment,5684720360.jpg#2r1e,A blond woman with two children is checking out at a Walmart register.,( ( ( A ( blond woman ) ) ( with ( two children ) ) ) ( ( is ( ( checking out ) ( at ( a ( Walmart register ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ blond) (NN woman)) (PP (IN with) (NP (CD two) (NNS children)))) (VP (VBZ is) (VP (VBG checking) (PRT (RP out)) (PP (IN at) (NP (DT a) (NNP Walmart) (NN register))))) (. .))),A mother is with her two children at walmart,( ( A mother ) ( is ( with ( ( her ( two children ) ) ( at walmart ) ) ) ) ),(ROOT (S (NP (DT A) (NN mother)) (VP (VBZ is) (PP (IN with) (NP (NP (PRP$ her) (CD two) (NNS children)) (PP (IN at) (NP (NN walmart)))))))) +804,['contradiction'],1601783524.jpg#3,contradiction,1601783524.jpg#3r1c,A woman sitting in a laundromat looking at the camera.,( ( ( A woman ) ( sitting ( in ( ( a laundromat ) ( looking ( at ( the camera ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG sitting) (PP (IN in) (NP (NP (DT a) (NN laundromat)) (VP (VBG looking) (PP (IN at) (NP (DT the) (NN camera))))))) (. .))),A monkey is eating a banana.,( ( A monkey ) ( ( is ( eating ( a banana ) ) ) . ) ),(ROOT (S (NP (DT A) (NN monkey)) (VP (VBZ is) (VP (VBG eating) (NP (DT a) (NN banana)))) (. .))) +805,"['neutral', 'contradiction', 'contradiction', 'neutral', 'neutral']",1601783524.jpg#3,neutral,1601783524.jpg#3r1n,A woman sitting in a laundromat looking at the camera.,( ( ( A woman ) ( sitting ( in ( ( a laundromat ) ( looking ( at ( the camera ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG sitting) (PP (IN in) (NP (NP (DT a) (NN laundromat)) (VP (VBG looking) (PP (IN at) (NP (DT the) (NN camera))))))) (. .))),A woman is modeling appliances for the camera.,( ( A woman ) ( ( is ( ( modeling appliances ) ( for ( the camera ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (NP (NP (NN modeling) (NNS appliances)) (PP (IN for) (NP (DT the) (NN camera))))) (. .))) +806,['entailment'],1601783524.jpg#3,entailment,1601783524.jpg#3r1e,A woman sitting in a laundromat looking at the camera.,( ( ( A woman ) ( sitting ( in ( ( a laundromat ) ( looking ( at ( the camera ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG sitting) (PP (IN in) (NP (NP (DT a) (NN laundromat)) (VP (VBG looking) (PP (IN at) (NP (DT the) (NN camera))))))) (. .))),There is a woman in a room.,( There ( ( is ( ( a woman ) ( in ( a room ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT a) (NN room))))) (. .))) +807,['neutral'],307040440.jpg#1,neutral,307040440.jpg#1r1n,A young boy paddles across the water in a makeshift boat.,( ( A ( young boy ) ) ( ( paddles ( across ( ( the water ) ( in ( a ( makeshift boat ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN boy)) (VP (VBZ paddles) (PP (IN across) (NP (NP (DT the) (NN water)) (PP (IN in) (NP (DT a) (JJ makeshift) (NN boat)))))) (. .))),A boy is boating in a pond.,( ( A boy ) ( ( is ( boating ( in ( a pond ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG boating) (PP (IN in) (NP (DT a) (NN pond))))) (. .))) +808,['entailment'],307040440.jpg#1,entailment,307040440.jpg#1r1e,A young boy paddles across the water in a makeshift boat.,( ( A ( young boy ) ) ( ( paddles ( across ( ( the water ) ( in ( a ( makeshift boat ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN boy)) (VP (VBZ paddles) (PP (IN across) (NP (NP (DT the) (NN water)) (PP (IN in) (NP (DT a) (JJ makeshift) (NN boat)))))) (. .))),A boy is in a boat.,( ( A boy ) ( ( is ( in ( a boat ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (PP (IN in) (NP (DT a) (NN boat)))) (. .))) +809,['contradiction'],307040440.jpg#1,contradiction,307040440.jpg#1r1c,A young boy paddles across the water in a makeshift boat.,( ( A ( young boy ) ) ( ( paddles ( across ( ( the water ) ( in ( a ( makeshift boat ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN boy)) (VP (VBZ paddles) (PP (IN across) (NP (NP (DT the) (NN water)) (PP (IN in) (NP (DT a) (JJ makeshift) (NN boat)))))) (. .))),A boy is swimming.,( ( A boy ) ( ( is swimming ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG swimming))) (. .))) +810,['neutral'],3362086744.jpg#1,neutral,3362086744.jpg#1r1n,A baseball player is about to throw a baseball.,( ( A ( baseball player ) ) ( ( is ( about ( to ( throw ( a baseball ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN baseball) (NN player)) (VP (VBZ is) (VP (IN about) (S (VP (TO to) (VP (VB throw) (NP (DT a) (NN baseball))))))) (. .))),A baseball playing is throwing a ball,( ( A ( baseball playing ) ) ( is ( throwing ( a ball ) ) ) ),(ROOT (S (NP (DT A) (NN baseball) (NN playing)) (VP (VBZ is) (VP (VBG throwing) (NP (DT a) (NN ball)))))) +811,['entailment'],3362086744.jpg#1,entailment,3362086744.jpg#1r1e,A baseball player is about to throw a baseball.,( ( A ( baseball player ) ) ( ( is ( about ( to ( throw ( a baseball ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN baseball) (NN player)) (VP (VBZ is) (VP (IN about) (S (VP (TO to) (VP (VB throw) (NP (DT a) (NN baseball))))))) (. .))),A baseball player is swinging to hit the ball.,( ( A ( baseball player ) ) ( ( is ( swinging ( to ( hit ( the ball ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN baseball) (NN player)) (VP (VBZ is) (VP (VBG swinging) (S (VP (TO to) (VP (VB hit) (NP (DT the) (NN ball))))))) (. .))) +812,['contradiction'],3362086744.jpg#1,contradiction,3362086744.jpg#1r1c,A baseball player is about to throw a baseball.,( ( A ( baseball player ) ) ( ( is ( about ( to ( throw ( a baseball ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN baseball) (NN player)) (VP (VBZ is) (VP (IN about) (S (VP (TO to) (VP (VB throw) (NP (DT a) (NN baseball))))))) (. .))),A baseball is broken,( ( A baseball ) ( is broken ) ),(ROOT (S (NP (DT A) (NN baseball)) (VP (VBZ is) (VP (VBN broken))))) +813,['neutral'],2288315705.jpg#4,neutral,2288315705.jpg#4r1n,A dog zips along the beach.,( ( A dog ) ( ( zips ( along ( the beach ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ zips) (PP (IN along) (NP (DT the) (NN beach)))) (. .))),A dog is chasing a ball on the beach.,( ( A dog ) ( ( is ( chasing ( ( a ball ) ( on ( the beach ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG chasing) (NP (NP (DT a) (NN ball)) (PP (IN on) (NP (DT the) (NN beach)))))) (. .))) +814,['contradiction'],2288315705.jpg#4,contradiction,2288315705.jpg#4r1c,A dog zips along the beach.,( ( A dog ) ( ( zips ( along ( the beach ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ zips) (PP (IN along) (NP (DT the) (NN beach)))) (. .))),A dog is sleeping in the living room.,( ( A dog ) ( ( is ( sleeping ( in ( the ( living room ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG sleeping) (PP (IN in) (NP (DT the) (VBG living) (NN room))))) (. .))) +815,['entailment'],2288315705.jpg#4,entailment,2288315705.jpg#4r1e,A dog zips along the beach.,( ( A dog ) ( ( zips ( along ( the beach ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ zips) (PP (IN along) (NP (DT the) (NN beach)))) (. .))),A dog is outside.,( ( A dog ) ( ( is outside ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (ADVP (RB outside))) (. .))) +816,['contradiction'],2288315705.jpg#3,contradiction,2288315705.jpg#3r1c,A white dog runs along a rocky shoreline.,( ( A ( white dog ) ) ( ( runs ( along ( a ( rocky shoreline ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN dog)) (VP (VBZ runs) (PP (IN along) (NP (DT a) (JJ rocky) (NN shoreline)))) (. .))),A dog is running up the stairs at home.,( ( A dog ) ( ( is ( ( ( running up ) ( the stairs ) ) ( at home ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG running) (PRT (RP up)) (NP (DT the) (NNS stairs)) (PP (IN at) (NP (NN home))))) (. .))) +817,['neutral'],2288315705.jpg#3,neutral,2288315705.jpg#3r1n,A white dog runs along a rocky shoreline.,( ( A ( white dog ) ) ( ( runs ( along ( a ( rocky shoreline ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN dog)) (VP (VBZ runs) (PP (IN along) (NP (DT a) (JJ rocky) (NN shoreline)))) (. .))),A dog is running with his owner outside.,( ( A dog ) ( ( is ( running ( with ( his ( owner outside ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG running) (PP (IN with) (NP (PRP$ his) (NN owner) (NN outside))))) (. .))) +818,['entailment'],2288315705.jpg#3,entailment,2288315705.jpg#3r1e,A white dog runs along a rocky shoreline.,( ( A ( white dog ) ) ( ( runs ( along ( a ( rocky shoreline ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ white) (NN dog)) (VP (VBZ runs) (PP (IN along) (NP (DT a) (JJ rocky) (NN shoreline)))) (. .))),A dog is running outside.,( ( A dog ) ( ( is ( running outside ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG running) (ADVP (RB outside)))) (. .))) +819,['entailment'],2288315705.jpg#2,entailment,2288315705.jpg#2r1e,A fuzzy white lap dog runs along a rocky beach.,( ( A ( fuzzy ( white ( lap dog ) ) ) ) ( ( runs ( along ( a ( rocky beach ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ fuzzy) (JJ white) (NN lap) (NN dog)) (VP (VBZ runs) (PP (IN along) (NP (DT a) (JJ rocky) (NN beach)))) (. .))),A dog runs across the beach.,( ( A dog ) ( ( runs ( across ( the beach ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ runs) (PP (IN across) (NP (DT the) (NN beach)))) (. .))) +820,['neutral'],2288315705.jpg#2,neutral,2288315705.jpg#2r1n,A fuzzy white lap dog runs along a rocky beach.,( ( A ( fuzzy ( white ( lap dog ) ) ) ) ( ( runs ( along ( a ( rocky beach ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ fuzzy) (JJ white) (NN lap) (NN dog)) (VP (VBZ runs) (PP (IN along) (NP (DT a) (JJ rocky) (NN beach)))) (. .))),A dog chases birds on the beach.,( ( A dog ) ( ( chases ( birds ( on ( the beach ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ chases) (NP (NP (NNS birds)) (PP (IN on) (NP (DT the) (NN beach))))) (. .))) +821,['contradiction'],2288315705.jpg#2,contradiction,2288315705.jpg#2r1c,A fuzzy white lap dog runs along a rocky beach.,( ( A ( fuzzy ( white ( lap dog ) ) ) ) ( ( runs ( along ( a ( rocky beach ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ fuzzy) (JJ white) (NN lap) (NN dog)) (VP (VBZ runs) (PP (IN along) (NP (DT a) (JJ rocky) (NN beach)))) (. .))),A dog snuggle down under blankets on the couch.,( ( A dog ) ( ( ( snuggle down ) ( under ( blankets ( on ( the couch ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBP snuggle) (PRT (RP down)) (PP (IN under) (NP (NP (NNS blankets)) (PP (IN on) (NP (DT the) (NN couch)))))) (. .))) +822,['entailment'],2288315705.jpg#1,entailment,2288315705.jpg#1r1e,A small white dog running on a pebble covered beach.,( ( ( A ( small ( white dog ) ) ) ( running ( on ( a pebble ) ) ) ) ( ( covered beach ) . ) ),(ROOT (S (NP (NP (DT A) (JJ small) (JJ white) (NN dog)) (VP (VBG running) (PP (IN on) (NP (DT a) (NN pebble))))) (VP (VBD covered) (NP (NN beach))) (. .))),A dog on the beach.,( ( ( A dog ) ( on ( the beach ) ) ) . ),(ROOT (NP (NP (DT A) (NN dog)) (PP (IN on) (NP (DT the) (NN beach))) (. .))) +823,['contradiction'],2288315705.jpg#1,contradiction,2288315705.jpg#1r1c,A small white dog running on a pebble covered beach.,( ( ( A ( small ( white dog ) ) ) ( running ( on ( a pebble ) ) ) ) ( ( covered beach ) . ) ),(ROOT (S (NP (NP (DT A) (JJ small) (JJ white) (NN dog)) (VP (VBG running) (PP (IN on) (NP (DT a) (NN pebble))))) (VP (VBD covered) (NP (NN beach))) (. .))),A seagull on the dock.,( ( ( A seagull ) ( on ( the dock ) ) ) . ),(ROOT (NP (NP (DT A) (NN seagull)) (PP (IN on) (NP (DT the) (NN dock))) (. .))) +824,['neutral'],2288315705.jpg#1,neutral,2288315705.jpg#1r1n,A small white dog running on a pebble covered beach.,( ( ( A ( small ( white dog ) ) ) ( running ( on ( a pebble ) ) ) ) ( ( covered beach ) . ) ),(ROOT (S (NP (NP (DT A) (JJ small) (JJ white) (NN dog)) (VP (VBG running) (PP (IN on) (NP (DT a) (NN pebble))))) (VP (VBD covered) (NP (NN beach))) (. .))),A dog runs after his boy and the frisbee.,( ( A dog ) ( ( runs ( after ( ( ( his boy ) and ) ( the frisbee ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ runs) (PP (IN after) (NP (NP (PRP$ his) (NN boy)) (CC and) (NP (DT the) (NN frisbee))))) (. .))) +825,['neutral'],3362086744.jpg#0,neutral,3362086744.jpg#0r1n,A baseball player is putting all his might in to throwing a ball.,( ( A ( baseball player ) ) ( ( is ( ( putting ( all ( his might ) ) ) ( in ( to ( throwing ( a ball ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN baseball) (NN player)) (VP (VBZ is) (VP (VBG putting) (NP (PDT all) (PRP$ his) (NN might)) (PP (IN in) (PP (TO to) (S (VP (VBG throwing) (NP (DT a) (NN ball)))))))) (. .))),Player is giving the ball away,( Player ( is ( ( giving ( the ball ) ) away ) ) ),(ROOT (S (NP (NNP Player)) (VP (VBZ is) (VP (VBG giving) (NP (DT the) (NN ball)) (ADVP (RB away)))))) +826,['entailment'],3362086744.jpg#0,entailment,3362086744.jpg#0r1e,A baseball player is putting all his might in to throwing a ball.,( ( A ( baseball player ) ) ( ( is ( ( putting ( all ( his might ) ) ) ( in ( to ( throwing ( a ball ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN baseball) (NN player)) (VP (VBZ is) (VP (VBG putting) (NP (PDT all) (PRP$ his) (NN might)) (PP (IN in) (PP (TO to) (S (VP (VBG throwing) (NP (DT a) (NN ball)))))))) (. .))),Pitcher is winding up a throw,( Pitcher ( is ( ( winding up ) ( a throw ) ) ) ),(ROOT (S (NP (NN Pitcher)) (VP (VBZ is) (VP (VBG winding) (PRT (RP up)) (NP (DT a) (NN throw)))))) +827,['contradiction'],3362086744.jpg#0,contradiction,3362086744.jpg#0r1c,A baseball player is putting all his might in to throwing a ball.,( ( A ( baseball player ) ) ( ( is ( ( putting ( all ( his might ) ) ) ( in ( to ( throwing ( a ball ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN baseball) (NN player)) (VP (VBZ is) (VP (VBG putting) (NP (PDT all) (PRP$ his) (NN might)) (PP (IN in) (PP (TO to) (S (VP (VBG throwing) (NP (DT a) (NN ball)))))))) (. .))),The player tossed the football,( ( The player ) ( tossed ( the football ) ) ),(ROOT (S (NP (DT The) (NN player)) (VP (VBD tossed) (NP (DT the) (NN football))))) +828,['neutral'],1780384960.jpg#4,neutral,1780384960.jpg#4r2n,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),The cheerleaders are wearing blue.,( ( The cheerleaders ) ( ( are ( wearing blue ) ) . ) ),(ROOT (S (NP (DT The) (NNS cheerleaders)) (VP (VBP are) (VP (VBG wearing) (ADJP (JJ blue)))) (. .))) +829,['contradiction'],1780384960.jpg#4,contradiction,1780384960.jpg#4r2c,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),An empty field.,( An ( empty ( field . ) ) ),(ROOT (NP (DT An) (JJ empty) (NN field) (. .))) +830,['entailment'],1780384960.jpg#4,entailment,1780384960.jpg#4r5e,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),Some people are cheering on a field.,( ( Some people ) ( ( are ( cheering ( on ( a field ) ) ) ) . ) ),(ROOT (S (NP (DT Some) (NNS people)) (VP (VBP are) (VP (VBG cheering) (PP (IN on) (NP (DT a) (NN field))))) (. .))) +831,['neutral'],1780384960.jpg#4,neutral,1780384960.jpg#4r3n,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),Cheerleaders are waiting for the game to begin.,( Cheerleaders ( ( are ( ( waiting ( for ( the game ) ) ) ( to begin ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (VP (VBG waiting) (PP (IN for) (NP (DT the) (NN game))) (S (VP (TO to) (VP (VB begin)))))) (. .))) +832,['contradiction'],1780384960.jpg#4,contradiction,1780384960.jpg#4r1c,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),The football player killed the cheerleader with his bullet pass.,( ( The ( football player ) ) ( ( ( killed ( the cheerleader ) ) ( with ( his ( bullet pass ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN football) (NN player)) (VP (VBD killed) (NP (DT the) (NN cheerleader)) (PP (IN with) (NP (PRP$ his) (NN bullet) (NN pass)))) (. .))) +833,['neutral'],1780384960.jpg#4,neutral,1780384960.jpg#4r5n,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),The Dallas Cowboys' cheerleaders are trying to pump-up the crowd.,( ( ( The ( Dallas ( Cowboys ' ) ) ) cheerleaders ) ( ( are ( trying ( to ( pump-up ( the crowd ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NNP Dallas) (NNPS Cowboys) (POS ')) (NNS cheerleaders)) (VP (VBP are) (VP (VBG trying) (S (VP (TO to) (VP (VB pump-up) (NP (DT the) (NN crowd))))))) (. .))) +834,['entailment'],1780384960.jpg#4,entailment,1780384960.jpg#4r3e,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),There are people outdoors.,( There ( ( ( are people ) outdoors ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NNS people)) (ADVP (RB outdoors))) (. .))) +835,['entailment'],1780384960.jpg#4,entailment,1780384960.jpg#4r1e,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),Cheerleaders cheer on a field for an activity.,( Cheerleaders ( ( cheer ( on ( ( a field ) ( for ( an activity ) ) ) ) ) . ) ),(ROOT (S (INTJ (UH Cheerleaders)) (VP (VB cheer) (PP (IN on) (NP (NP (DT a) (NN field)) (PP (IN for) (NP (DT an) (NN activity)))))) (. .))) +836,['entailment'],1780384960.jpg#4,entailment,1780384960.jpg#4r2e,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),People cheering.,( ( People cheering ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG cheering)) (. .))) +837,['contradiction'],1780384960.jpg#4,contradiction,1780384960.jpg#4r3c,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),People sit on the snow-covered bench.,( People ( ( sit ( on ( the ( snow-covered bench ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP sit) (PP (IN on) (NP (DT the) (JJ snow-covered) (NN bench)))) (. .))) +838,['entailment'],1780384960.jpg#4,entailment,1780384960.jpg#4r4e,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),Cheerleaders cheering.,( ( Cheerleaders cheering ) . ),(ROOT (NP (NP (NNS Cheerleaders)) (VP (VBG cheering)) (. .))) +839,['contradiction'],1780384960.jpg#4,contradiction,1780384960.jpg#4r5c,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),Some football players are practicing a running play.,( ( Some ( football players ) ) ( ( are ( practicing ( a ( running play ) ) ) ) . ) ),(ROOT (S (NP (DT Some) (NN football) (NNS players)) (VP (VBP are) (VP (VBG practicing) (NP (DT a) (VBG running) (NN play)))) (. .))) +840,['neutral'],1780384960.jpg#4,neutral,1780384960.jpg#4r1n,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),The cheerleaders cheer for the start of the big game.,( ( ( ( The ( cheerleaders cheer ) ) ( for ( the start ) ) ) ( of ( the ( big game ) ) ) ) . ),(ROOT (NP (NP (DT The) (JJ cheerleaders) (NN cheer)) (PP (IN for) (NP (DT the) (NN start))) (PP (IN of) (NP (DT the) (JJ big) (NN game))) (. .))) +841,['neutral'],1780384960.jpg#4,neutral,1780384960.jpg#4r4n,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),Cheerleaders cheer for the football team.,( Cheerleaders ( ( cheer ( for ( the ( football team ) ) ) ) . ) ),(ROOT (S (INTJ (UH Cheerleaders)) (VP (VB cheer) (PP (IN for) (NP (DT the) (NN football) (NN team)))) (. .))) +842,['contradiction'],1780384960.jpg#4,contradiction,1780384960.jpg#4r4c,Cheerleaders are on the field cheering.,( Cheerleaders ( ( are ( on ( ( the field ) cheering ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (PP (IN on) (NP (NP (DT the) (NN field)) (VP (VBG cheering))))) (. .))),An old man wearing a diaper.,( ( ( An ( old man ) ) ( wearing ( a diaper ) ) ) . ),(ROOT (NP (NP (DT An) (JJ old) (NN man)) (VP (VBG wearing) (NP (DT a) (NN diaper))) (. .))) +843,['contradiction'],3853594376.jpg#4,contradiction,3853594376.jpg#4r1c,A woman holding a boombox.,( ( ( A woman ) ( holding ( a boombox ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG holding) (NP (DT a) (NN boombox))) (. .))),A man holding a boombox.,( ( ( A man ) ( holding ( a boombox ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG holding) (NP (DT a) (NN boombox))) (. .))) +844,['neutral'],3853594376.jpg#4,neutral,3853594376.jpg#4r1n,A woman holding a boombox.,( ( ( A woman ) ( holding ( a boombox ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG holding) (NP (DT a) (NN boombox))) (. .))),A sad woman holding a boombox.,( ( ( A ( sad woman ) ) ( holding ( a boombox ) ) ) . ),(ROOT (NP (NP (DT A) (JJ sad) (NN woman)) (VP (VBG holding) (NP (DT a) (NN boombox))) (. .))) +845,['entailment'],3853594376.jpg#4,entailment,3853594376.jpg#4r1e,A woman holding a boombox.,( ( ( A woman ) ( holding ( a boombox ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG holding) (NP (DT a) (NN boombox))) (. .))),A person holding a boombox.,( ( ( A person ) ( holding ( a boombox ) ) ) . ),(ROOT (NP (NP (DT A) (NN person)) (VP (VBG holding) (NP (DT a) (NN boombox))) (. .))) +846,['entailment'],351765604.jpg#1,entailment,351765604.jpg#1r1e,A woman in a blue shirt and green hat looks up at the camera.,( ( ( A woman ) ( in ( ( ( a ( blue shirt ) ) and ) ( green hat ) ) ) ) ( ( ( looks up ) ( at ( the camera ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN shirt)) (CC and) (NP (JJ green) (NN hat))))) (VP (VBZ looks) (PRT (RP up)) (PP (IN at) (NP (DT the) (NN camera)))) (. .))),A woman wearing a blue shirt and green hat looks at the camera,( ( ( A woman ) ( wearing ( ( ( a ( blue shirt ) ) and ) ( green hat ) ) ) ) ( looks ( at ( the camera ) ) ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (NP (DT a) (JJ blue) (NN shirt)) (CC and) (NP (JJ green) (NN hat))))) (VP (VBZ looks) (PP (IN at) (NP (DT the) (NN camera)))))) +847,['neutral'],351765604.jpg#1,neutral,351765604.jpg#1r1n,A woman in a blue shirt and green hat looks up at the camera.,( ( ( A woman ) ( in ( ( ( a ( blue shirt ) ) and ) ( green hat ) ) ) ) ( ( ( looks up ) ( at ( the camera ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN shirt)) (CC and) (NP (JJ green) (NN hat))))) (VP (VBZ looks) (PRT (RP up)) (PP (IN at) (NP (DT the) (NN camera)))) (. .))),A woman wearing a blue shirt and green hat smiles at the camera,( ( ( ( A woman ) ( wearing ( a ( blue shirt ) ) ) ) and ) ( ( green ( hat smiles ) ) ( at ( the camera ) ) ) ),(ROOT (UCP (S (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt)))) (CC and) (NP (NP (JJ green) (NN hat) (NNS smiles)) (PP (IN at) (NP (DT the) (NN camera)))))) +848,['contradiction'],351765604.jpg#1,contradiction,351765604.jpg#1r1c,A woman in a blue shirt and green hat looks up at the camera.,( ( ( A woman ) ( in ( ( ( a ( blue shirt ) ) and ) ( green hat ) ) ) ) ( ( ( looks up ) ( at ( the camera ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN shirt)) (CC and) (NP (JJ green) (NN hat))))) (VP (VBZ looks) (PRT (RP up)) (PP (IN at) (NP (DT the) (NN camera)))) (. .))),A woman wearing a blue shirt and green hat is on her cellphone,( ( ( A woman ) ( wearing ( ( ( a ( blue shirt ) ) and ) ( green hat ) ) ) ) ( is ( on ( her cellphone ) ) ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (NP (DT a) (JJ blue) (NN shirt)) (CC and) (NP (JJ green) (NN hat))))) (VP (VBZ is) (PP (IN on) (NP (PRP$ her) (NN cellphone)))))) +849,['neutral'],1780384960.jpg#0,neutral,1780384960.jpg#0r1n,Cheerleaders are doing a cheer at a football field.,( Cheerleaders ( ( are ( ( doing ( a cheer ) ) ( at ( a ( football field ) ) ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (VP (VBG doing) (NP (DT a) (NN cheer)) (PP (IN at) (NP (DT a) (NN football) (NN field))))) (. .))),The cheerleaders are wearing black and red uniforms.,( ( The cheerleaders ) ( ( are ( wearing ( black ( and ( red uniforms ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS cheerleaders)) (VP (VBP are) (VP (VBG wearing) (NP (JJ black) (CC and) (JJ red) (NNS uniforms)))) (. .))) +850,['entailment'],1780384960.jpg#0,entailment,1780384960.jpg#0r1e,Cheerleaders are doing a cheer at a football field.,( Cheerleaders ( ( are ( ( doing ( a cheer ) ) ( at ( a ( football field ) ) ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (VP (VBG doing) (NP (DT a) (NN cheer)) (PP (IN at) (NP (DT a) (NN football) (NN field))))) (. .))),The cheerleaders are wearing clothes.,( ( The cheerleaders ) ( ( are ( wearing clothes ) ) . ) ),(ROOT (S (NP (DT The) (NNS cheerleaders)) (VP (VBP are) (VP (VBG wearing) (NP (NNS clothes)))) (. .))) +851,['contradiction'],1780384960.jpg#0,contradiction,1780384960.jpg#0r1c,Cheerleaders are doing a cheer at a football field.,( Cheerleaders ( ( are ( ( doing ( a cheer ) ) ( at ( a ( football field ) ) ) ) ) . ) ),(ROOT (S (NP (NNS Cheerleaders)) (VP (VBP are) (VP (VBG doing) (NP (DT a) (NN cheer)) (PP (IN at) (NP (DT a) (NN football) (NN field))))) (. .))),The cheerleaders are at the basketball arena.,( ( The cheerleaders ) ( ( are ( at ( the ( basketball arena ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS cheerleaders)) (VP (VBP are) (PP (IN at) (NP (DT the) (NN basketball) (NN arena)))) (. .))) +852,"['entailment', 'entailment', 'contradiction', 'entailment']",3853594376.jpg#0,entailment,3853594376.jpg#0r1e,"An excited, smiling woman stands at a red railing as she holds a boombox to one side.","( ( An ( ( excited ( , smiling ) ) woman ) ) ( ( ( stands ( at ( a ( red railing ) ) ) ) ( as ( she ( ( holds ( a boombox ) ) ( to ( one side ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT An) (ADJP (JJ excited) (, ,) (JJ smiling)) (NN woman)) (VP (VBZ stands) (PP (IN at) (NP (DT a) (JJ red) (NN railing))) (SBAR (IN as) (S (NP (PRP she)) (VP (VBZ holds) (NP (DT a) (NN boombox)) (PP (TO to) (NP (CD one) (NN side))))))) (. .)))",A human standing.,( A ( human ( standing . ) ) ),(ROOT (NP (DT A) (JJ human) (NN standing) (. .))) +853,['neutral'],3853594376.jpg#0,neutral,3853594376.jpg#0r1n,"An excited, smiling woman stands at a red railing as she holds a boombox to one side.","( ( An ( ( excited ( , smiling ) ) woman ) ) ( ( ( stands ( at ( a ( red railing ) ) ) ) ( as ( she ( ( holds ( a boombox ) ) ( to ( one side ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT An) (ADJP (JJ excited) (, ,) (JJ smiling)) (NN woman)) (VP (VBZ stands) (PP (IN at) (NP (DT a) (JJ red) (NN railing))) (SBAR (IN as) (S (NP (PRP she)) (VP (VBZ holds) (NP (DT a) (NN boombox)) (PP (TO to) (NP (CD one) (NN side))))))) (. .)))",A tall human stanindg.,( A ( tall ( human ( stanindg . ) ) ) ),(ROOT (NP (DT A) (JJ tall) (JJ human) (NN stanindg) (. .))) +854,['contradiction'],3853594376.jpg#0,contradiction,3853594376.jpg#0r1c,"An excited, smiling woman stands at a red railing as she holds a boombox to one side.","( ( An ( ( excited ( , smiling ) ) woman ) ) ( ( ( stands ( at ( a ( red railing ) ) ) ) ( as ( she ( ( holds ( a boombox ) ) ( to ( one side ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT An) (ADJP (JJ excited) (, ,) (JJ smiling)) (NN woman)) (VP (VBZ stands) (PP (IN at) (NP (DT a) (JJ red) (NN railing))) (SBAR (IN as) (S (NP (PRP she)) (VP (VBZ holds) (NP (DT a) (NN boombox)) (PP (TO to) (NP (CD one) (NN side))))))) (. .)))",Nobody is standing.,( Nobody ( ( is standing ) . ) ),(ROOT (S (NP (NN Nobody)) (VP (VBZ is) (VP (VBG standing))) (. .))) +855,['entailment'],351765604.jpg#4,entailment,351765604.jpg#4r1e,A lady is kneeling wearing a blue shirt.,( ( A lady ) ( ( is ( kneeling ( wearing ( a ( blue shirt ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ is) (VP (VBG kneeling) (S (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt)))))) (. .))),A lady is close to the floor.,( ( A lady ) ( ( is ( close ( to ( the floor ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ is) (ADJP (JJ close) (PP (TO to) (NP (DT the) (NN floor))))) (. .))) +856,['neutral'],351765604.jpg#4,neutral,351765604.jpg#4r1n,A lady is kneeling wearing a blue shirt.,( ( A lady ) ( ( is ( kneeling ( wearing ( a ( blue shirt ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ is) (VP (VBG kneeling) (S (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt)))))) (. .))),A lady is kneeling before the priest at church.,( ( A lady ) ( ( is ( kneeling ( before ( ( the priest ) ( at church ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ is) (VP (VBG kneeling) (PP (IN before) (NP (NP (DT the) (NN priest)) (PP (IN at) (NP (NN church))))))) (. .))) +857,['contradiction'],351765604.jpg#4,contradiction,351765604.jpg#4r1c,A lady is kneeling wearing a blue shirt.,( ( A lady ) ( ( is ( kneeling ( wearing ( a ( blue shirt ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ is) (VP (VBG kneeling) (S (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt)))))) (. .))),The woman is doing jumping jacks outside.,( ( The woman ) ( ( is ( doing ( ( jumping jacks ) outside ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG doing) (S (VP (VBG jumping) (NP (NNS jacks)) (ADVP (RB outside)))))) (. .))) +858,"['entailment', 'contradiction', 'entailment', 'entailment']",4448895750.jpg#3,entailment,4448895750.jpg#3r1e,The silhouette of three people in front of a wall.,( ( ( ( The silhouette ) ( of ( ( three people ) ( in front ) ) ) ) ( of ( a wall ) ) ) . ),(ROOT (NP (NP (DT The) (NN silhouette)) (PP (IN of) (NP (NP (CD three) (NNS people)) (PP (IN in) (NP (NN front))))) (PP (IN of) (NP (DT a) (NN wall))) (. .))),The people are by the wall.,( ( The people ) ( ( are ( by ( the wall ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (PP (IN by) (NP (DT the) (NN wall)))) (. .))) +859,['contradiction'],4448895750.jpg#3,contradiction,4448895750.jpg#3r1c,The silhouette of three people in front of a wall.,( ( ( ( The silhouette ) ( of ( ( three people ) ( in front ) ) ) ) ( of ( a wall ) ) ) . ),(ROOT (NP (NP (DT The) (NN silhouette)) (PP (IN of) (NP (NP (CD three) (NNS people)) (PP (IN in) (NP (NN front))))) (PP (IN of) (NP (DT a) (NN wall))) (. .))),The people are running down the country road.,( ( The people ) ( ( are ( ( running down ) ( the ( country road ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG running) (PRT (RP down)) (NP (DT the) (NN country) (NN road)))) (. .))) +860,['neutral'],4448895750.jpg#3,neutral,4448895750.jpg#3r1n,The silhouette of three people in front of a wall.,( ( ( ( The silhouette ) ( of ( ( three people ) ( in front ) ) ) ) ( of ( a wall ) ) ) . ),(ROOT (NP (NP (DT The) (NN silhouette)) (PP (IN of) (NP (NP (CD three) (NNS people)) (PP (IN in) (NP (NN front))))) (PP (IN of) (NP (DT a) (NN wall))) (. .))),The wall is painted.,( ( The wall ) ( ( is painted ) . ) ),(ROOT (S (NP (DT The) (NN wall)) (VP (VBZ is) (VP (VBN painted))) (. .))) +861,['neutral'],390902331.jpg#0,neutral,390902331.jpg#0r1n,Two people wearing blue clothing are making hand gestures next to one another.,( ( ( Two people ) ( wearing ( blue clothing ) ) ) ( ( are ( ( making ( hand gestures ) ) ( next ( to ( one another ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS people)) (VP (VBG wearing) (NP (JJ blue) (NN clothing)))) (VP (VBP are) (VP (VBG making) (NP (NN hand) (NNS gestures)) (ADVP (JJ next) (PP (TO to) (NP (CD one) (DT another)))))) (. .))),A man and a woman are standing next to each other and communicating through sign language.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( ( ( ( standing next ) ( to ( each other ) ) ) and ) ( communicating ( through ( sign language ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VP (VBG standing) (ADVP (JJ next)) (PP (TO to) (NP (DT each) (JJ other)))) (CC and) (VP (VBG communicating) (PP (IN through) (NP (NN sign) (NN language)))))) (. .))) +862,['contradiction'],390902331.jpg#0,contradiction,390902331.jpg#0r1c,Two people wearing blue clothing are making hand gestures next to one another.,( ( ( Two people ) ( wearing ( blue clothing ) ) ) ( ( are ( ( making ( hand gestures ) ) ( next ( to ( one another ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS people)) (VP (VBG wearing) (NP (JJ blue) (NN clothing)))) (VP (VBP are) (VP (VBG making) (NP (NN hand) (NNS gestures)) (ADVP (JJ next) (PP (TO to) (NP (CD one) (DT another)))))) (. .))),A man is sitting with his hands in his pockets.,( ( A man ) ( ( is ( ( sitting ( with ( his hands ) ) ) ( in ( his pockets ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN with) (NP (PRP$ his) (NNS hands))) (PP (IN in) (NP (PRP$ his) (NNS pockets))))) (. .))) +863,['entailment'],390902331.jpg#0,entailment,390902331.jpg#0r1e,Two people wearing blue clothing are making hand gestures next to one another.,( ( ( Two people ) ( wearing ( blue clothing ) ) ) ( ( are ( ( making ( hand gestures ) ) ( next ( to ( one another ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS people)) (VP (VBG wearing) (NP (JJ blue) (NN clothing)))) (VP (VBP are) (VP (VBG making) (NP (NN hand) (NNS gestures)) (ADVP (JJ next) (PP (TO to) (NP (CD one) (DT another)))))) (. .))),Two people are next to each other.,( ( Two people ) ( ( are ( next ( to ( each other ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (ADJP (JJ next) (PP (TO to) (NP (DT each) (JJ other))))) (. .))) +864,['entailment'],3569667295.jpg#3,entailment,3569667295.jpg#3r1e,A spotted black and white dog splashes in the water.,( A ( ( ( spotted ( ( ( black and ) white ) ( dog splashes ) ) ) ( in ( the water ) ) ) . ) ),(ROOT (S (NP (NNP A)) (VP (VBD spotted) (NP (ADJP (JJ black) (CC and) (JJ white)) (NN dog) (NNS splashes)) (PP (IN in) (NP (DT the) (NN water)))) (. .))),the dog is in the water,( ( the dog ) ( is ( in ( the water ) ) ) ),(ROOT (S (NP (DT the) (NN dog)) (VP (VBZ is) (PP (IN in) (NP (DT the) (NN water)))))) +865,['neutral'],3569667295.jpg#3,neutral,3569667295.jpg#3r1n,A spotted black and white dog splashes in the water.,( A ( ( ( spotted ( ( ( black and ) white ) ( dog splashes ) ) ) ( in ( the water ) ) ) . ) ),(ROOT (S (NP (NNP A)) (VP (VBD spotted) (NP (ADJP (JJ black) (CC and) (JJ white)) (NN dog) (NNS splashes)) (PP (IN in) (NP (DT the) (NN water)))) (. .))),the dog is swimming by itself,( ( the dog ) ( is ( swimming ( by itself ) ) ) ),(ROOT (S (NP (DT the) (NN dog)) (VP (VBZ is) (VP (VBG swimming) (PP (IN by) (NP (PRP itself))))))) +866,['contradiction'],3569667295.jpg#3,contradiction,3569667295.jpg#3r1c,A spotted black and white dog splashes in the water.,( A ( ( ( spotted ( ( ( black and ) white ) ( dog splashes ) ) ) ( in ( the water ) ) ) . ) ),(ROOT (S (NP (NNP A)) (VP (VBD spotted) (NP (ADJP (JJ black) (CC and) (JJ white)) (NN dog) (NNS splashes)) (PP (IN in) (NP (DT the) (NN water)))) (. .))),the dog is eating out of his favorite bowl in the kitchen,( ( the dog ) ( is ( ( eating out ) ( of ( ( his ( favorite bowl ) ) ( in ( the kitchen ) ) ) ) ) ) ),(ROOT (S (NP (DT the) (NN dog)) (VP (VBZ is) (VP (VBG eating) (PRT (RP out)) (PP (IN of) (NP (NP (PRP$ his) (JJ favorite) (NN bowl)) (PP (IN in) (NP (DT the) (NN kitchen))))))))) +867,['entailment'],2102835360.jpg#1,entailment,2102835360.jpg#1r1e,"A large group, wearing pink shirts, waves to onlookers.","( ( ( ( ( A ( large group ) ) , ) ( wearing ( pink shirts ) ) ) , ) ( ( waves ( to onlookers ) ) . ) )","(ROOT (S (NP (NP (DT A) (JJ large) (NN group)) (, ,) (VP (VBG wearing) (NP (JJ pink) (NNS shirts))) (, ,)) (VP (VBD waves) (PP (TO to) (NP (NNS onlookers)))) (. .)))",A crowd gesticulates.,( ( A crowd ) ( gesticulates . ) ),(ROOT (S (NP (DT A) (NN crowd)) (VP (VBZ gesticulates)) (. .))) +868,['neutral'],2102835360.jpg#1,neutral,2102835360.jpg#1r1n,"A large group, wearing pink shirts, waves to onlookers.","( ( ( ( ( A ( large group ) ) , ) ( wearing ( pink shirts ) ) ) , ) ( ( waves ( to onlookers ) ) . ) )","(ROOT (S (NP (NP (DT A) (JJ large) (NN group)) (, ,) (VP (VBG wearing) (NP (JJ pink) (NNS shirts))) (, ,)) (VP (VBD waves) (PP (TO to) (NP (NNS onlookers)))) (. .)))",They are raising money.,( They ( ( are ( raising money ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (VBG raising) (NP (NN money)))) (. .))) +869,['contradiction'],2102835360.jpg#1,contradiction,2102835360.jpg#1r1c,"A large group, wearing pink shirts, waves to onlookers.","( ( ( ( ( A ( large group ) ) , ) ( wearing ( pink shirts ) ) ) , ) ( ( waves ( to onlookers ) ) . ) )","(ROOT (S (NP (NP (DT A) (JJ large) (NN group)) (, ,) (VP (VBG wearing) (NP (JJ pink) (NNS shirts))) (, ,)) (VP (VBD waves) (PP (TO to) (NP (NNS onlookers)))) (. .)))",No one is watching them.,( ( No one ) ( ( is ( watching them ) ) . ) ),(ROOT (S (NP (DT No) (NN one)) (VP (VBZ is) (VP (VBG watching) (NP (PRP them)))) (. .))) +870,['neutral'],2230620391.jpg#4,neutral,2230620391.jpg#4r1n,A baby is playing with a strand of beads.,( ( A baby ) ( ( is ( playing ( with ( ( a strand ) ( of beads ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN baby)) (VP (VBZ is) (VP (VBG playing) (PP (IN with) (NP (NP (DT a) (NN strand)) (PP (IN of) (NP (NNS beads))))))) (. .))),The beads are multi-colored.,( ( The beads ) ( ( are multi-colored ) . ) ),(ROOT (S (NP (DT The) (NNS beads)) (VP (VBP are) (ADJP (JJ multi-colored))) (. .))) +871,['contradiction'],2230620391.jpg#4,contradiction,2230620391.jpg#4r1c,A baby is playing with a strand of beads.,( ( A baby ) ( ( is ( playing ( with ( ( a strand ) ( of beads ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN baby)) (VP (VBZ is) (VP (VBG playing) (PP (IN with) (NP (NP (DT a) (NN strand)) (PP (IN of) (NP (NNS beads))))))) (. .))),The baby is sleeping.,( ( The baby ) ( ( is sleeping ) . ) ),(ROOT (S (NP (DT The) (NN baby)) (VP (VBZ is) (VP (VBG sleeping))) (. .))) +872,['entailment'],2230620391.jpg#4,entailment,2230620391.jpg#4r1e,A baby is playing with a strand of beads.,( ( A baby ) ( ( is ( playing ( with ( ( a strand ) ( of beads ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN baby)) (VP (VBZ is) (VP (VBG playing) (PP (IN with) (NP (NP (DT a) (NN strand)) (PP (IN of) (NP (NNS beads))))))) (. .))),The baby is playing.,( ( The baby ) ( ( is playing ) . ) ),(ROOT (S (NP (DT The) (NN baby)) (VP (VBZ is) (VP (VBG playing))) (. .))) +873,['contradiction'],2430037096.jpg#2,contradiction,2430037096.jpg#2r1c,People are on a stage performing.,( People ( ( ( are ( on ( a stage ) ) ) performing ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (PP (IN on) (NP (DT a) (NN stage))) (ADJP (VBG performing))) (. .))),people are sleeping,( people ( are sleeping ) ),(ROOT (S (NP (NNS people)) (VP (VBP are) (VP (VBG sleeping))))) +874,['neutral'],2430037096.jpg#2,neutral,2430037096.jpg#2r1n,People are on a stage performing.,( People ( ( ( are ( on ( a stage ) ) ) performing ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (PP (IN on) (NP (DT a) (NN stage))) (ADJP (VBG performing))) (. .))),people are singing onstage,( people ( are ( singing onstage ) ) ),(ROOT (S (NP (NNS people)) (VP (VBP are) (VP (VBG singing) (ADVP (RB onstage)))))) +875,['entailment'],2430037096.jpg#2,entailment,2430037096.jpg#2r1e,People are on a stage performing.,( People ( ( ( are ( on ( a stage ) ) ) performing ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (PP (IN on) (NP (DT a) (NN stage))) (ADJP (VBG performing))) (. .))),pwople are on stage,( pwople ( are ( on stage ) ) ),(ROOT (S (NP (NN pwople)) (VP (VBP are) (PP (IN on) (NP (NN stage)))))) +876,['contradiction'],6454325817.jpg#3,contradiction,6454325817.jpg#3r1c,A woman is running a marathon in a park.,( ( A woman ) ( ( is ( running ( ( a marathon ) ( in ( a park ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG running) (NP (NP (DT a) (NN marathon)) (PP (IN in) (NP (DT a) (NN park)))))) (. .))),The woman is running in her backyard.,( ( The woman ) ( ( is ( running ( in ( her backyard ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG running) (PP (IN in) (NP (PRP$ her) (NN backyard))))) (. .))) +877,['neutral'],6454325817.jpg#3,neutral,6454325817.jpg#3r1n,A woman is running a marathon in a park.,( ( A woman ) ( ( is ( running ( ( a marathon ) ( in ( a park ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG running) (NP (NP (DT a) (NN marathon)) (PP (IN in) (NP (DT a) (NN park)))))) (. .))),The woman is running fast.,( ( The woman ) ( ( is ( running fast ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG running) (ADVP (RB fast)))) (. .))) +878,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",6454325817.jpg#3,entailment,6454325817.jpg#3r1e,A woman is running a marathon in a park.,( ( A woman ) ( ( is ( running ( ( a marathon ) ( in ( a park ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG running) (NP (NP (DT a) (NN marathon)) (PP (IN in) (NP (DT a) (NN park)))))) (. .))),The woman is outdoors.,( ( The woman ) ( ( is outdoors ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (ADVP (RB outdoors))) (. .))) +879,['entailment'],2430037096.jpg#0,entailment,2430037096.jpg#0r1e,A group of people point forwards while performing some kind of act.,( ( ( A group ) ( of people ) ) ( ( point ( forwards ( while ( performing ( ( some kind ) ( of act ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP point) (ADVP (RB forwards) (PP (IN while) (S (VP (VBG performing) (NP (NP (DT some) (NN kind)) (PP (IN of) (NP (NN act))))))))) (. .))),A group of people point forwards while doing something.,( ( ( A group ) ( of people ) ) ( ( point ( forwards ( while ( doing something ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP point) (ADVP (RB forwards) (PP (IN while) (S (VP (VBG doing) (NP (NN something))))))) (. .))) +880,['contradiction'],2430037096.jpg#0,contradiction,2430037096.jpg#0r1c,A group of people point forwards while performing some kind of act.,( ( ( A group ) ( of people ) ) ( ( point ( forwards ( while ( performing ( ( some kind ) ( of act ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP point) (ADVP (RB forwards) (PP (IN while) (S (VP (VBG performing) (NP (NP (DT some) (NN kind)) (PP (IN of) (NP (NN act))))))))) (. .))),A group of people fight using tigers.,( ( ( A group ) ( of people ) ) ( ( fight ( using tigers ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP fight) (S (VP (VBG using) (NP (NNS tigers))))) (. .))) +881,['neutral'],2430037096.jpg#0,neutral,2430037096.jpg#0r1n,A group of people point forwards while performing some kind of act.,( ( ( A group ) ( of people ) ) ( ( point ( forwards ( while ( performing ( ( some kind ) ( of act ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP point) (ADVP (RB forwards) (PP (IN while) (S (VP (VBG performing) (NP (NP (DT some) (NN kind)) (PP (IN of) (NP (NN act))))))))) (. .))),A group of people point somewhere while speaking.,( ( ( A group ) ( of people ) ) ( ( ( point somewhere ) ( while speaking ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP point) (ADVP (RB somewhere)) (SBAR (IN while) (S (VP (VBG speaking))))) (. .))) +882,['contradiction'],2430037096.jpg#1,contradiction,2430037096.jpg#1r1c,Several people are dancing together in sync.,( ( Several people ) ( ( are ( ( dancing together ) ( in sync ) ) ) . ) ),(ROOT (S (NP (JJ Several) (NNS people)) (VP (VBP are) (VP (VBG dancing) (ADVP (RB together)) (PP (IN in) (NP (NN sync))))) (. .))),kids are fighting each other.,( kids ( ( are ( fighting ( each other ) ) ) . ) ),(ROOT (S (NP (NNS kids)) (VP (VBP are) (VP (VBG fighting) (NP (DT each) (JJ other)))) (. .))) +883,['neutral'],2430037096.jpg#1,neutral,2430037096.jpg#1r1n,Several people are dancing together in sync.,( ( Several people ) ( ( are ( ( dancing together ) ( in sync ) ) ) . ) ),(ROOT (S (NP (JJ Several) (NNS people)) (VP (VBP are) (VP (VBG dancing) (ADVP (RB together)) (PP (IN in) (NP (NN sync))))) (. .))),man and woman dancing together.,( ( ( ( man and ) woman ) ( dancing together ) ) . ),(ROOT (NP (NP (NN man) (CC and) (NN woman)) (VP (VBG dancing) (ADVP (RB together))) (. .))) +884,['entailment'],2430037096.jpg#1,entailment,2430037096.jpg#1r1e,Several people are dancing together in sync.,( ( Several people ) ( ( are ( ( dancing together ) ( in sync ) ) ) . ) ),(ROOT (S (NP (JJ Several) (NNS people)) (VP (VBP are) (VP (VBG dancing) (ADVP (RB together)) (PP (IN in) (NP (NN sync))))) (. .))),people are dancing.,( people ( ( are dancing ) . ) ),(ROOT (S (NP (NNS people)) (VP (VBP are) (VP (VBG dancing))) (. .))) +885,['entailment'],2430037096.jpg#4,entailment,2430037096.jpg#4r1e,Group of people dancing,( Group ( of ( people dancing ) ) ),(ROOT (NP (NP (NNP Group)) (PP (IN of) (NP (NNS people) (NN dancing))))),people dance together,( people ( dance together ) ),(ROOT (S (NP (NNS people)) (VP (VBP dance) (ADVP (RB together))))) +886,['neutral'],2430037096.jpg#4,neutral,2430037096.jpg#4r1n,Group of people dancing,( Group ( of ( people dancing ) ) ),(ROOT (NP (NP (NNP Group)) (PP (IN of) (NP (NNS people) (NN dancing))))),people are dancing with one another during a religious ritual,( people ( are ( ( dancing ( with ( one another ) ) ) ( during ( a ( religious ritual ) ) ) ) ) ),(ROOT (S (NP (NNS people)) (VP (VBP are) (VP (VBG dancing) (PP (IN with) (NP (CD one) (DT another))) (PP (IN during) (NP (DT a) (JJ religious) (NN ritual))))))) +887,['contradiction'],2430037096.jpg#4,contradiction,2430037096.jpg#4r1c,Group of people dancing,( Group ( of ( people dancing ) ) ),(ROOT (NP (NP (NNP Group)) (PP (IN of) (NP (NNS people) (NN dancing))))),dogs are mating,( dogs ( are mating ) ),(ROOT (S (NP (NNS dogs)) (VP (VBP are) (NP (NN mating))))) +888,['contradiction'],2915698477.jpg#3,contradiction,2915698477.jpg#3r1c,An adult couple enjoys time in a hot tub.,( ( An ( adult couple ) ) ( ( enjoys ( time ( in ( a ( hot tub ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ adult) (NN couple)) (VP (VBZ enjoys) (NP (NP (NN time)) (PP (IN in) (NP (DT a) (JJ hot) (NN tub))))) (. .))),A couple is inside watching TV.,( ( A couple ) ( ( ( is inside ) ( watching TV ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ is) (ADVP (RB inside)) (VP (VBG watching) (NP (NN TV)))) (. .))) +889,['entailment'],2915698477.jpg#3,entailment,2915698477.jpg#3r1e,An adult couple enjoys time in a hot tub.,( ( An ( adult couple ) ) ( ( enjoys ( time ( in ( a ( hot tub ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ adult) (NN couple)) (VP (VBZ enjoys) (NP (NP (NN time)) (PP (IN in) (NP (DT a) (JJ hot) (NN tub))))) (. .))),A couple is in a hot tub.,( ( A couple ) ( ( is ( in ( a ( hot tub ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ is) (PP (IN in) (NP (DT a) (JJ hot) (NN tub)))) (. .))) +890,['neutral'],2915698477.jpg#3,neutral,2915698477.jpg#3r1n,An adult couple enjoys time in a hot tub.,( ( An ( adult couple ) ) ( ( enjoys ( time ( in ( a ( hot tub ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ adult) (NN couple)) (VP (VBZ enjoys) (NP (NP (NN time)) (PP (IN in) (NP (DT a) (JJ hot) (NN tub))))) (. .))),A couple is in a hot tub outside.,( ( A couple ) ( ( ( is ( in ( a ( hot tub ) ) ) ) outside ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ is) (PP (IN in) (NP (DT a) (JJ hot) (NN tub))) (ADVP (RB outside))) (. .))) +891,['entailment'],476772350.jpg#2,entailment,476772350.jpg#2r1e,An average looking man is playing the guitar.,( ( ( An average ) ( looking man ) ) ( ( is ( playing ( the guitar ) ) ) . ) ),(ROOT (S (NP (NP (DT An) (NN average)) (VP (VBG looking) (NP (NN man)))) (VP (VBZ is) (VP (VBG playing) (NP (DT the) (NN guitar)))) (. .))),The man knows how to play guitar.,( ( The man ) ( ( knows ( how ( to ( play guitar ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ knows) (SBAR (WHADVP (WRB how)) (S (VP (TO to) (VP (VB play) (NP (NN guitar))))))) (. .))) +892,['neutral'],476772350.jpg#2,neutral,476772350.jpg#2r1n,An average looking man is playing the guitar.,( ( ( An average ) ( looking man ) ) ( ( is ( playing ( the guitar ) ) ) . ) ),(ROOT (S (NP (NP (DT An) (NN average)) (VP (VBG looking) (NP (NN man)))) (VP (VBZ is) (VP (VBG playing) (NP (DT the) (NN guitar)))) (. .))),The man can play the guitar well.,( ( The man ) ( ( can ( ( play ( the guitar ) ) well ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (MD can) (VP (VB play) (NP (DT the) (NN guitar)) (ADVP (RB well)))) (. .))) +893,['contradiction'],476772350.jpg#2,contradiction,476772350.jpg#2r1c,An average looking man is playing the guitar.,( ( ( An average ) ( looking man ) ) ( ( is ( playing ( the guitar ) ) ) . ) ),(ROOT (S (NP (NP (DT An) (NN average)) (VP (VBG looking) (NP (NN man)))) (VP (VBZ is) (VP (VBG playing) (NP (DT the) (NN guitar)))) (. .))),The man is playing the drums.,( ( The man ) ( ( is ( playing ( the drums ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG playing) (NP (DT the) (NNS drums)))) (. .))) +894,['neutral'],3585488964.jpg#2,neutral,3585488964.jpg#2r1n,Two tan and white dogs and one tan dog racing down the beach near the water.,( ( ( ( ( Two ( ( ( tan and ) white ) dogs ) ) and ) ( one ( tan dog ) ) ) ( ( racing down ) ( ( the beach ) ( near ( the water ) ) ) ) ) . ),(ROOT (NP (NP (NP (CD Two) (ADJP (JJ tan) (CC and) (JJ white)) (NNS dogs)) (CC and) (NP (CD one) (JJ tan) (NN dog))) (VP (VBG racing) (PRT (RP down)) (NP (NP (DT the) (NN beach)) (PP (IN near) (NP (DT the) (NN water))))) (. .))),three dogs are chasing a ball,( ( three dogs ) ( are ( chasing ( a ball ) ) ) ),(ROOT (S (NP (CD three) (NNS dogs)) (VP (VBP are) (VP (VBG chasing) (NP (DT a) (NN ball)))))) +895,['entailment'],3585488964.jpg#2,entailment,3585488964.jpg#2r1e,Two tan and white dogs and one tan dog racing down the beach near the water.,( ( ( ( ( Two ( ( ( tan and ) white ) dogs ) ) and ) ( one ( tan dog ) ) ) ( ( racing down ) ( ( the beach ) ( near ( the water ) ) ) ) ) . ),(ROOT (NP (NP (NP (CD Two) (ADJP (JJ tan) (CC and) (JJ white)) (NNS dogs)) (CC and) (NP (CD one) (JJ tan) (NN dog))) (VP (VBG racing) (PRT (RP down)) (NP (NP (DT the) (NN beach)) (PP (IN near) (NP (DT the) (NN water))))) (. .))),three dogs are outside,( ( three dogs ) ( are outside ) ),(ROOT (S (NP (CD three) (NNS dogs)) (VP (VBP are) (ADJP (JJ outside))))) +896,['contradiction'],3585488964.jpg#2,contradiction,3585488964.jpg#2r1c,Two tan and white dogs and one tan dog racing down the beach near the water.,( ( ( ( ( Two ( ( ( tan and ) white ) dogs ) ) and ) ( one ( tan dog ) ) ) ( ( racing down ) ( ( the beach ) ( near ( the water ) ) ) ) ) . ),(ROOT (NP (NP (NP (CD Two) (ADJP (JJ tan) (CC and) (JJ white)) (NNS dogs)) (CC and) (NP (CD one) (JJ tan) (NN dog))) (VP (VBG racing) (PRT (RP down)) (NP (NP (DT the) (NN beach)) (PP (IN near) (NP (DT the) (NN water))))) (. .))),three dogs are laying in a couch,( ( three dogs ) ( are ( laying ( in ( a couch ) ) ) ) ),(ROOT (S (NP (CD three) (NNS dogs)) (VP (VBP are) (VP (VBG laying) (PP (IN in) (NP (DT a) (NN couch))))))) +897,['contradiction'],4473826637.jpg#1,contradiction,4473826637.jpg#1r1c,A man and woman are walking down the street holding hands.,( ( A ( ( man and ) woman ) ) ( ( are ( ( walking down ) ( ( the street ) ( holding hands ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man) (CC and) (NN woman)) (VP (VBP are) (VP (VBG walking) (PRT (RP down)) (NP (NP (DT the) (NN street)) (VP (VBG holding) (NP (NNS hands)))))) (. .))),A man and woman are walking down opposite sides of the street.,( ( A ( ( man and ) woman ) ) ( ( are ( ( walking down ) ( ( opposite sides ) ( of ( the street ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man) (CC and) (NN woman)) (VP (VBP are) (VP (VBG walking) (PRT (RP down)) (NP (NP (JJ opposite) (NNS sides)) (PP (IN of) (NP (DT the) (NN street)))))) (. .))) +898,['entailment'],4473826637.jpg#1,entailment,4473826637.jpg#1r1e,A man and woman are walking down the street holding hands.,( ( A ( ( man and ) woman ) ) ( ( are ( ( walking down ) ( ( the street ) ( holding hands ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man) (CC and) (NN woman)) (VP (VBP are) (VP (VBG walking) (PRT (RP down)) (NP (NP (DT the) (NN street)) (VP (VBG holding) (NP (NNS hands)))))) (. .))),A couple of people are holding hands while walking.,( ( ( A couple ) ( of people ) ) ( ( are ( ( holding hands ) ( while walking ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN couple)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG holding) (NP (NNS hands)) (PP (IN while) (S (VP (VBG walking)))))) (. .))) +899,['neutral'],4473826637.jpg#1,neutral,4473826637.jpg#1r1n,A man and woman are walking down the street holding hands.,( ( A ( ( man and ) woman ) ) ( ( are ( ( walking down ) ( ( the street ) ( holding hands ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man) (CC and) (NN woman)) (VP (VBP are) (VP (VBG walking) (PRT (RP down)) (NP (NP (DT the) (NN street)) (VP (VBG holding) (NP (NNS hands)))))) (. .))),A newlywed couple hold hands and skip down the street.,( ( A ( newlywed couple ) ) ( ( ( ( hold hands ) and ) ( ( skip down ) ( the street ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ newlywed) (NN couple)) (VP (VP (VB hold) (NP (NNS hands))) (CC and) (VP (VB skip) (PRT (RP down)) (NP (DT the) (NN street)))) (. .))) +900,['neutral'],5201259529.jpg#4,neutral,5201259529.jpg#4r1n,A man is using his computer while seated at a desk.,( ( A man ) ( ( is ( ( using ( his computer ) ) ( while ( seated ( at ( a desk ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG using) (NP (PRP$ his) (NN computer)) (SBAR (IN while) (S (VP (VBN seated) (PP (IN at) (NP (DT a) (NN desk)))))))) (. .))),A man searches the internet sitting down.,( ( A man ) ( ( searches ( ( the internet ) ( sitting down ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ searches) (NP (NP (DT the) (NN internet)) (VP (VBG sitting) (PRT (RP down))))) (. .))) +901,['contradiction'],5201259529.jpg#4,contradiction,5201259529.jpg#4r1c,A man is using his computer while seated at a desk.,( ( A man ) ( ( is ( ( using ( his computer ) ) ( while ( seated ( at ( a desk ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG using) (NP (PRP$ his) (NN computer)) (SBAR (IN while) (S (VP (VBN seated) (PP (IN at) (NP (DT a) (NN desk)))))))) (. .))),A woman drinks a beer at her desk.,( ( A woman ) ( ( drinks ( ( a beer ) ( at ( her desk ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ drinks) (NP (NP (DT a) (NN beer)) (PP (IN at) (NP (PRP$ her) (NN desk))))) (. .))) +902,['entailment'],5201259529.jpg#4,entailment,5201259529.jpg#4r1e,A man is using his computer while seated at a desk.,( ( A man ) ( ( is ( ( using ( his computer ) ) ( while ( seated ( at ( a desk ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG using) (NP (PRP$ his) (NN computer)) (SBAR (IN while) (S (VP (VBN seated) (PP (IN at) (NP (DT a) (NN desk)))))))) (. .))),A man sits at a desk.,( ( A man ) ( ( sits ( at ( a desk ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ sits) (PP (IN at) (NP (DT a) (NN desk)))) (. .))) +903,['entailment'],4824078556.jpg#0,entailment,4824078556.jpg#0r1e,A camera crew is filming two women in formal dresses sitting on a blanket in the middle of a park.,( ( A ( camera crew ) ) ( ( is ( filming ( ( two women ) ( in ( ( formal dresses ) ( sitting ( on ( ( a blanket ) ( in ( ( the middle ) ( of ( a park ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN camera) (NN crew)) (VP (VBZ is) (VP (VBG filming) (NP (NP (CD two) (NNS women)) (PP (IN in) (NP (NP (JJ formal) (NNS dresses)) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN blanket)) (PP (IN in) (NP (NP (DT the) (NN middle)) (PP (IN of) (NP (DT a) (NN park))))))))))))) (. .))),Someone is filming.,( Someone ( ( is filming ) . ) ),(ROOT (S (NP (NN Someone)) (VP (VBZ is) (VP (VBG filming))) (. .))) +904,['contradiction'],4824078556.jpg#0,contradiction,4824078556.jpg#0r1c,A camera crew is filming two women in formal dresses sitting on a blanket in the middle of a park.,( ( A ( camera crew ) ) ( ( is ( filming ( ( two women ) ( in ( ( formal dresses ) ( sitting ( on ( ( a blanket ) ( in ( ( the middle ) ( of ( a park ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN camera) (NN crew)) (VP (VBZ is) (VP (VBG filming) (NP (NP (CD two) (NNS women)) (PP (IN in) (NP (NP (JJ formal) (NNS dresses)) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN blanket)) (PP (IN in) (NP (NP (DT the) (NN middle)) (PP (IN of) (NP (DT a) (NN park))))))))))))) (. .))),Everyone wearing formal clothes is inside.,( ( Everyone ( wearing ( formal clothes ) ) ) ( ( is inside ) . ) ),(ROOT (S (NP (NP (NN Everyone)) (VP (VBG wearing) (NP (JJ formal) (NNS clothes)))) (VP (VBZ is) (ADVP (RB inside))) (. .))) +905,['neutral'],4824078556.jpg#0,neutral,4824078556.jpg#0r1n,A camera crew is filming two women in formal dresses sitting on a blanket in the middle of a park.,( ( A ( camera crew ) ) ( ( is ( filming ( ( two women ) ( in ( ( formal dresses ) ( sitting ( on ( ( a blanket ) ( in ( ( the middle ) ( of ( a park ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN camera) (NN crew)) (VP (VBZ is) (VP (VBG filming) (NP (NP (CD two) (NNS women)) (PP (IN in) (NP (NP (JJ formal) (NNS dresses)) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN blanket)) (PP (IN in) (NP (NP (DT the) (NN middle)) (PP (IN of) (NP (DT a) (NN park))))))))))))) (. .))),Someone is operating a microphone.,( Someone ( ( is ( operating ( a microphone ) ) ) . ) ),(ROOT (S (NP (NN Someone)) (VP (VBZ is) (VP (VBG operating) (NP (DT a) (NN microphone)))) (. .))) +906,['entailment'],4593716344.jpg#4,entailment,4593716344.jpg#4r1e,man sitting down playing a game of chess alone,( man ( sitting ( down ( playing ( ( ( a game ) ( of chess ) ) alone ) ) ) ) ),(ROOT (S (VP (VB man) (S (VP (VBG sitting) (PP (IN down) (S (VP (VBG playing) (S (NP (NP (DT a) (NN game)) (PP (IN of) (NP (NN chess)))) (ADJP (RB alone))))))))))),A guy playing a board game by himself.,( ( ( A guy ) ( ( playing ( a ( board game ) ) ) ( by himself ) ) ) . ),(ROOT (NP (NP (DT A) (NN guy)) (VP (VBG playing) (NP (DT a) (NN board) (NN game)) (PP (IN by) (NP (PRP himself)))) (. .))) +907,['contradiction'],4593716344.jpg#4,contradiction,4593716344.jpg#4r1c,man sitting down playing a game of chess alone,( man ( sitting ( down ( playing ( ( ( a game ) ( of chess ) ) alone ) ) ) ) ),(ROOT (S (VP (VB man) (S (VP (VBG sitting) (PP (IN down) (S (VP (VBG playing) (S (NP (NP (DT a) (NN game)) (PP (IN of) (NP (NN chess)))) (ADJP (RB alone))))))))))),The man taking a snooze.,( ( ( The man ) ( taking ( a snooze ) ) ) . ),(ROOT (NP (NP (DT The) (NN man)) (VP (VBG taking) (NP (DT a) (NN snooze))) (. .))) +908,['neutral'],4593716344.jpg#4,neutral,4593716344.jpg#4r1n,man sitting down playing a game of chess alone,( man ( sitting ( down ( playing ( ( ( a game ) ( of chess ) ) alone ) ) ) ) ),(ROOT (S (VP (VB man) (S (VP (VBG sitting) (PP (IN down) (S (VP (VBG playing) (S (NP (NP (DT a) (NN game)) (PP (IN of) (NP (NN chess)))) (ADJP (RB alone))))))))))),A human sitting down playing one game of chess alone.,( ( ( A human ) ( ( sitting down ) ( playing ( ( ( one game ) ( of chess ) ) alone ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN human)) (VP (VBG sitting) (PRT (RP down)) (S (VP (VBG playing) (S (NP (NP (CD one) (NN game)) (PP (IN of) (NP (NN chess)))) (ADJP (RB alone)))))) (. .))) +909,['entailment'],6454325817.jpg#0,entailment,6454325817.jpg#0r1e,Young woman running as two guys in the back try to catch up to her.,( ( ( Young woman ) ( running ( as ( ( two guys ) ( in ( the back ) ) ) ) ) ) ( ( try ( to ( ( catch up ) ( to her ) ) ) ) . ) ),(ROOT (S (NP (NP (JJ Young) (NN woman)) (VP (VBG running) (PP (IN as) (NP (NP (CD two) (NNS guys)) (PP (IN in) (NP (DT the) (NN back))))))) (VP (VBP try) (S (VP (TO to) (VP (VB catch) (PRT (RP up)) (PP (TO to) (NP (PRP her))))))) (. .))),group of people running,( group ( of ( people running ) ) ),(ROOT (NP (NP (NN group)) (PP (IN of) (NP (NP (NNS people)) (VP (VBG running)))))) +910,"['neutral', 'neutral', 'neutral', 'neutral', 'contradiction']",6454325817.jpg#0,neutral,6454325817.jpg#0r1n,Young woman running as two guys in the back try to catch up to her.,( ( ( Young woman ) ( running ( as ( ( two guys ) ( in ( the back ) ) ) ) ) ) ( ( try ( to ( ( catch up ) ( to her ) ) ) ) . ) ),(ROOT (S (NP (NP (JJ Young) (NN woman)) (VP (VBG running) (PP (IN as) (NP (NP (CD two) (NNS guys)) (PP (IN in) (NP (DT the) (NN back))))))) (VP (VBP try) (S (VP (TO to) (VP (VB catch) (PRT (RP up)) (PP (TO to) (NP (PRP her))))))) (. .))),women runs for her life,( women ( runs ( for ( her life ) ) ) ),(ROOT (S (NP (NNS women)) (VP (VBZ runs) (PP (IN for) (NP (PRP$ her) (NN life)))))) +911,['contradiction'],6454325817.jpg#0,contradiction,6454325817.jpg#0r1c,Young woman running as two guys in the back try to catch up to her.,( ( ( Young woman ) ( running ( as ( ( two guys ) ( in ( the back ) ) ) ) ) ) ( ( try ( to ( ( catch up ) ( to her ) ) ) ) . ) ),(ROOT (S (NP (NP (JJ Young) (NN woman)) (VP (VBG running) (PP (IN as) (NP (NP (CD two) (NNS guys)) (PP (IN in) (NP (DT the) (NN back))))))) (VP (VBP try) (S (VP (TO to) (VP (VB catch) (PRT (RP up)) (PP (TO to) (NP (PRP her))))))) (. .))),women has coffee with two guys,( women ( has ( coffee ( with ( two guys ) ) ) ) ),(ROOT (S (NP (NNS women)) (VP (VBZ has) (NP (NP (NN coffee)) (PP (IN with) (NP (CD two) (NNS guys))))))) +912,['neutral'],4593716344.jpg#2,neutral,4593716344.jpg#2r1n,A man in a blue shirt sits outside alone with a chessboard laid out in front of him.,( ( ( A man ) ( in ( a ( blue shirt ) ) ) ) ( ( ( ( sits outside ) alone ) ( with ( ( a chessboard ) ( ( laid out ) ( in ( front ( of him ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ sits) (ADVP (RB outside)) (ADVP (RB alone)) (PP (IN with) (NP (NP (DT a) (NN chessboard)) (VP (VBN laid) (PRT (RP out)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (PRP him))))))))) (. .))),A man in a blue shirt sitting outside behind a large wooden chessboard.,( ( ( ( A man ) ( in ( a ( blue shirt ) ) ) ) ( ( sitting outside ) ( behind ( a ( large ( wooden chessboard ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBG sitting) (ADVP (RB outside)) (PP (IN behind) (NP (DT a) (JJ large) (JJ wooden) (NN chessboard)))) (. .))) +913,['entailment'],4593716344.jpg#2,entailment,4593716344.jpg#2r1e,A man in a blue shirt sits outside alone with a chessboard laid out in front of him.,( ( ( A man ) ( in ( a ( blue shirt ) ) ) ) ( ( ( ( sits outside ) alone ) ( with ( ( a chessboard ) ( ( laid out ) ( in ( front ( of him ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ sits) (ADVP (RB outside)) (ADVP (RB alone)) (PP (IN with) (NP (NP (DT a) (NN chessboard)) (VP (VBN laid) (PRT (RP out)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (PRP him))))))))) (. .))),Someone sitting outside behind a chessboard.,( ( Someone ( ( sitting outside ) ( behind ( a chessboard ) ) ) ) . ),(ROOT (NP (NP (NN Someone)) (VP (VBG sitting) (ADVP (RB outside)) (PP (IN behind) (NP (DT a) (NN chessboard)))) (. .))) +914,['contradiction'],4593716344.jpg#2,contradiction,4593716344.jpg#2r1c,A man in a blue shirt sits outside alone with a chessboard laid out in front of him.,( ( ( A man ) ( in ( a ( blue shirt ) ) ) ) ( ( ( ( sits outside ) alone ) ( with ( ( a chessboard ) ( ( laid out ) ( in ( front ( of him ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ sits) (ADVP (RB outside)) (ADVP (RB alone)) (PP (IN with) (NP (NP (DT a) (NN chessboard)) (VP (VBN laid) (PRT (RP out)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (PRP him))))))))) (. .))),Two elderly men playing Scrabble.,( ( ( Two ( elderly men ) ) ( playing Scrabble ) ) . ),(ROOT (NP (NP (CD Two) (JJ elderly) (NNS men)) (VP (VBG playing) (NP (NNP Scrabble))) (. .))) +915,['neutral'],4593716344.jpg#3,neutral,4593716344.jpg#3r1n,A man dressed in blue shirt and shorts sits at a table while playing black in chess.,( ( ( A man ) ( dressed ( in ( blue ( ( shirt and ) shorts ) ) ) ) ) ( ( sits ( at ( ( a ( table while ) ) ( playing ( black ( in chess ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBN dressed) (PP (IN in) (NP (JJ blue) (NN shirt) (CC and) (NNS shorts))))) (VP (VBZ sits) (PP (IN at) (NP (NP (DT a) (NN table) (NN while)) (VP (VBG playing) (ADJP (JJ black) (PP (IN in) (NP (NN chess)))))))) (. .))),Two men are playing chess,( ( Two men ) ( are ( playing chess ) ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG playing) (NP (NN chess)))))) +916,['contradiction'],4593716344.jpg#3,contradiction,4593716344.jpg#3r1c,A man dressed in blue shirt and shorts sits at a table while playing black in chess.,( ( ( A man ) ( dressed ( in ( blue ( ( shirt and ) shorts ) ) ) ) ) ( ( sits ( at ( ( a ( table while ) ) ( playing ( black ( in chess ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBN dressed) (PP (IN in) (NP (JJ blue) (NN shirt) (CC and) (NNS shorts))))) (VP (VBZ sits) (PP (IN at) (NP (NP (DT a) (NN table) (NN while)) (VP (VBG playing) (ADJP (JJ black) (PP (IN in) (NP (NN chess)))))))) (. .))),The man is jogging,( ( The man ) ( is jogging ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (NP (NN jogging))))) +917,['entailment'],4593716344.jpg#3,entailment,4593716344.jpg#3r1e,A man dressed in blue shirt and shorts sits at a table while playing black in chess.,( ( ( A man ) ( dressed ( in ( blue ( ( shirt and ) shorts ) ) ) ) ) ( ( sits ( at ( ( a ( table while ) ) ( playing ( black ( in chess ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBN dressed) (PP (IN in) (NP (JJ blue) (NN shirt) (CC and) (NNS shorts))))) (VP (VBZ sits) (PP (IN at) (NP (NP (DT a) (NN table) (NN while)) (VP (VBG playing) (ADJP (JJ black) (PP (IN in) (NP (NN chess)))))))) (. .))),A man is playing a game,( ( A man ) ( is ( playing ( a game ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG playing) (NP (DT a) (NN game)))))) +918,['entailment'],4593716344.jpg#0,entailment,4593716344.jpg#0r1e,A young man in a blue blazer and shorts sits alone in front of table with a chess game set up.,( ( ( A ( young man ) ) ( in ( ( ( a ( blue blazer ) ) and ) shorts ) ) ) ( ( ( ( sits alone ) ( in ( front ( of table ) ) ) ) ( with ( ( a ( chess game ) ) ( set up ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN blazer)) (CC and) (NP (NNS shorts))))) (VP (VBZ sits) (ADVP (RB alone)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (NN table))))) (PP (IN with) (NP (NP (DT a) (NN chess) (NN game)) (VP (VBN set) (PRT (RP up)))))) (. .))),A man sits in front of a set up chess game.,( ( A man ) ( ( sits ( in ( front ( of ( a ( ( set up ) ( chess game ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ sits) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (ADJP (VBN set) (PRT (RP up))) (NN chess) (NN game)))))) (. .))) +919,['neutral'],4593716344.jpg#0,neutral,4593716344.jpg#0r1n,A young man in a blue blazer and shorts sits alone in front of table with a chess game set up.,( ( ( A ( young man ) ) ( in ( ( ( a ( blue blazer ) ) and ) shorts ) ) ) ( ( ( ( sits alone ) ( in ( front ( of table ) ) ) ) ( with ( ( a ( chess game ) ) ( set up ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN blazer)) (CC and) (NP (NNS shorts))))) (VP (VBZ sits) (ADVP (RB alone)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (NN table))))) (PP (IN with) (NP (NP (DT a) (NN chess) (NN game)) (VP (VBN set) (PRT (RP up)))))) (. .))),A man is waiting for his chess opponent to arrive.,( ( A man ) ( ( is ( ( waiting ( for ( his ( chess opponent ) ) ) ) ( to arrive ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG waiting) (PP (IN for) (NP (PRP$ his) (NN chess) (NN opponent))) (S (VP (TO to) (VP (VB arrive)))))) (. .))) +920,['contradiction'],4593716344.jpg#0,contradiction,4593716344.jpg#0r1c,A young man in a blue blazer and shorts sits alone in front of table with a chess game set up.,( ( ( A ( young man ) ) ( in ( ( ( a ( blue blazer ) ) and ) shorts ) ) ) ( ( ( ( sits alone ) ( in ( front ( of table ) ) ) ) ( with ( ( a ( chess game ) ) ( set up ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (NP (DT a) (JJ blue) (NN blazer)) (CC and) (NP (NNS shorts))))) (VP (VBZ sits) (ADVP (RB alone)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (NN table))))) (PP (IN with) (NP (NP (DT a) (NN chess) (NN game)) (VP (VBN set) (PRT (RP up)))))) (. .))),A grandma plays a game of connect four at the rotary club meeting.,( ( A grandma ) ( ( ( plays ( ( a game ) ( of ( connect four ) ) ) ) ( at ( the ( rotary ( club meeting ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN grandma)) (VP (VBZ plays) (NP (NP (DT a) (NN game)) (PP (IN of) (NP (NNP connect) (CD four)))) (PP (IN at) (NP (DT the) (JJ rotary) (NN club) (NN meeting)))) (. .))) +921,['entailment'],4593716344.jpg#1,entailment,4593716344.jpg#1r1e,A young Asian man sits behind a set chessboard waiting for the other player to arrive.,( ( A ( young ( Asian man ) ) ) ( ( sits ( behind ( ( a ( set chessboard ) ) ( ( waiting ( for ( the ( other player ) ) ) ) ( to arrive ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (JJ Asian) (NN man)) (VP (VBZ sits) (PP (IN behind) (NP (NP (DT a) (VBN set) (NN chessboard)) (VP (VBG waiting) (PP (IN for) (NP (DT the) (JJ other) (NN player))) (S (VP (TO to) (VP (VB arrive)))))))) (. .))),A young man is sitting.,( ( A ( young man ) ) ( ( is sitting ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN man)) (VP (VBZ is) (VP (VBG sitting))) (. .))) +922,['contradiction'],4593716344.jpg#1,contradiction,4593716344.jpg#1r1c,A young Asian man sits behind a set chessboard waiting for the other player to arrive.,( ( A ( young ( Asian man ) ) ) ( ( sits ( behind ( ( a ( set chessboard ) ) ( ( waiting ( for ( the ( other player ) ) ) ) ( to arrive ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (JJ Asian) (NN man)) (VP (VBZ sits) (PP (IN behind) (NP (NP (DT a) (VBN set) (NN chessboard)) (VP (VBG waiting) (PP (IN for) (NP (DT the) (JJ other) (NN player))) (S (VP (TO to) (VP (VB arrive)))))))) (. .))),A young man is on Mars.,( ( A ( young man ) ) ( ( is ( on Mars ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN man)) (VP (VBZ is) (PP (IN on) (NP (NNP Mars)))) (. .))) +923,['neutral'],4593716344.jpg#1,neutral,4593716344.jpg#1r1n,A young Asian man sits behind a set chessboard waiting for the other player to arrive.,( ( A ( young ( Asian man ) ) ) ( ( sits ( behind ( ( a ( set chessboard ) ) ( ( waiting ( for ( the ( other player ) ) ) ) ( to arrive ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (JJ Asian) (NN man)) (VP (VBZ sits) (PP (IN behind) (NP (NP (DT a) (VBN set) (NN chessboard)) (VP (VBG waiting) (PP (IN for) (NP (DT the) (JJ other) (NN player))) (S (VP (TO to) (VP (VB arrive)))))))) (. .))),A young man is indoors.,( ( A ( young man ) ) ( ( is indoors ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN man)) (VP (VBZ is) (ADVP (RB indoors))) (. .))) +924,['entailment'],2635023078.jpg#4,entailment,2635023078.jpg#4r1e,"Two young men drink beer, leaning on a graffitied wall.","( ( Two ( young men ) ) ( ( ( ( drink beer ) , ) ( leaning ( on ( a ( graffitied wall ) ) ) ) ) . ) )","(ROOT (S (NP (CD Two) (JJ young) (NNS men)) (VP (VBP drink) (NP (NN beer)) (, ,) (S (VP (VBG leaning) (PP (IN on) (NP (DT a) (JJ graffitied) (NN wall)))))) (. .)))",The men are drinking.,( ( The men ) ( ( are drinking ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (VP (VBG drinking))) (. .))) +925,['contradiction'],2635023078.jpg#4,contradiction,2635023078.jpg#4r1c,"Two young men drink beer, leaning on a graffitied wall.","( ( Two ( young men ) ) ( ( ( ( drink beer ) , ) ( leaning ( on ( a ( graffitied wall ) ) ) ) ) . ) )","(ROOT (S (NP (CD Two) (JJ young) (NNS men)) (VP (VBP drink) (NP (NN beer)) (, ,) (S (VP (VBG leaning) (PP (IN on) (NP (DT a) (JJ graffitied) (NN wall)))))) (. .)))",The men are being sprayed with cans of paint while they are passes out drunk in the alley.,( ( The men ) ( ( are ( being ( ( sprayed ( with ( cans ( of paint ) ) ) ) ( while ( they ( are ( ( passes ( out drunk ) ) ( in ( the alley ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (VP (VBG being) (VP (VBN sprayed) (PP (IN with) (NP (NP (NNS cans)) (PP (IN of) (NP (NN paint))))) (SBAR (IN while) (S (NP (PRP they)) (VP (VBP are) (VP (VBG passes) (ADVP (IN out) (NN drunk)) (PP (IN in) (NP (DT the) (NN alley)))))))))) (. .))) +926,['neutral'],2635023078.jpg#4,neutral,2635023078.jpg#4r1n,"Two young men drink beer, leaning on a graffitied wall.","( ( Two ( young men ) ) ( ( ( ( drink beer ) , ) ( leaning ( on ( a ( graffitied wall ) ) ) ) ) . ) )","(ROOT (S (NP (CD Two) (JJ young) (NNS men)) (VP (VBP drink) (NP (NN beer)) (, ,) (S (VP (VBG leaning) (PP (IN on) (NP (DT a) (JJ graffitied) (NN wall)))))) (. .)))",The men are standing in urine.,( ( The men ) ( ( are ( standing ( in urine ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (VP (VBG standing) (PP (IN in) (NP (NN urine))))) (. .))) +927,['neutral'],15085612.jpg#3,neutral,15085612.jpg#3r1n,A man being airlifted to safety after being in danger.,( ( ( A man ) ( being ( ( airlifted ( to safety ) ) ( after ( being ( in danger ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG being) (VP (VBN airlifted) (PP (TO to) (NP (NN safety))) (PP (IN after) (S (VP (VBG being) (PP (IN in) (NP (NN danger)))))))) (. .))),The helicopter is moving people in danger.,( ( The helicopter ) ( ( is ( moving ( people ( in danger ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN helicopter)) (VP (VBZ is) (VP (VBG moving) (NP (NP (NNS people)) (PP (IN in) (NP (NN danger)))))) (. .))) +928,['entailment'],15085612.jpg#3,entailment,15085612.jpg#3r1e,A man being airlifted to safety after being in danger.,( ( ( A man ) ( being ( ( airlifted ( to safety ) ) ( after ( being ( in danger ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG being) (VP (VBN airlifted) (PP (TO to) (NP (NN safety))) (PP (IN after) (S (VP (VBG being) (PP (IN in) (NP (NN danger)))))))) (. .))),A man is being moved.,( ( A man ) ( ( is ( being moved ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG being) (VP (VBN moved)))) (. .))) +929,['contradiction'],15085612.jpg#3,contradiction,15085612.jpg#3r1c,A man being airlifted to safety after being in danger.,( ( ( A man ) ( being ( ( airlifted ( to safety ) ) ( after ( being ( in danger ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG being) (VP (VBN airlifted) (PP (TO to) (NP (NN safety))) (PP (IN after) (S (VP (VBG being) (PP (IN in) (NP (NN danger)))))))) (. .))),The helicopter is putting people in a dangerous area.,( ( The helicopter ) ( ( is ( putting ( people ( in ( a ( dangerous area ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN helicopter)) (VP (VBZ is) (VP (VBG putting) (NP (NP (NNS people)) (PP (IN in) (NP (DT a) (JJ dangerous) (NN area)))))) (. .))) +930,['contradiction'],2425148763.jpg#2,contradiction,2425148763.jpg#2r1c,People in a meeting setting paying attention to a speaker in an orange shirt.,( ( ( People ( in ( a meeting ) ) ) ( setting ( ( paying attention ) ( to ( ( a speaker ) ( in ( an ( orange shirt ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN in) (NP (DT a) (NN meeting)))) (VP (VBG setting) (S (VP (VBG paying) (NP (NN attention)) (PP (TO to) (NP (NP (DT a) (NN speaker)) (PP (IN in) (NP (DT an) (JJ orange) (NN shirt)))))))) (. .))),The people are listening to music on their CD players.,( ( The people ) ( ( are ( ( listening ( to music ) ) ( on ( their ( CD players ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG listening) (PP (TO to) (NP (NN music))) (PP (IN on) (NP (PRP$ their) (NN CD) (NNS players))))) (. .))) +931,['entailment'],2425148763.jpg#2,entailment,2425148763.jpg#2r1e,People in a meeting setting paying attention to a speaker in an orange shirt.,( ( ( People ( in ( a meeting ) ) ) ( setting ( ( paying attention ) ( to ( ( a speaker ) ( in ( an ( orange shirt ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN in) (NP (DT a) (NN meeting)))) (VP (VBG setting) (S (VP (VBG paying) (NP (NN attention)) (PP (TO to) (NP (NP (DT a) (NN speaker)) (PP (IN in) (NP (DT an) (JJ orange) (NN shirt)))))))) (. .))),The people are listening to a speaker.,( ( The people ) ( ( are ( listening ( to ( a speaker ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG listening) (PP (TO to) (NP (DT a) (NN speaker))))) (. .))) +932,['neutral'],2425148763.jpg#2,neutral,2425148763.jpg#2r1n,People in a meeting setting paying attention to a speaker in an orange shirt.,( ( ( People ( in ( a meeting ) ) ) ( setting ( ( paying attention ) ( to ( ( a speaker ) ( in ( an ( orange shirt ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (NNS People)) (PP (IN in) (NP (DT a) (NN meeting)))) (VP (VBG setting) (S (VP (VBG paying) (NP (NN attention)) (PP (TO to) (NP (NP (DT a) (NN speaker)) (PP (IN in) (NP (DT an) (JJ orange) (NN shirt)))))))) (. .))),The speaker is the people's boss.,( ( The speaker ) ( ( is ( ( the ( people 's ) ) boss ) ) . ) ),(ROOT (S (NP (DT The) (NN speaker)) (VP (VBZ is) (NP (NP (DT the) (NNS people) (POS 's)) (NN boss))) (. .))) +933,['contradiction'],2425148763.jpg#3,contradiction,2425148763.jpg#3r1c,A meeting of young people sitting at a conference table.,( ( ( ( A meeting ) ( of ( young people ) ) ) ( sitting ( at ( a ( conference table ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN meeting)) (PP (IN of) (NP (JJ young) (NNS people)))) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN conference) (NN table)))) (. .))),young people are at a party having fun,( ( young people ) ( ( are ( at ( a party ) ) ) ( having fun ) ) ),(ROOT (S (NP (JJ young) (NNS people)) (VP (VBP are) (ADVP (IN at) (NP (DT a) (NN party))) (VP (VBG having) (NP (NN fun)))))) +934,['neutral'],2425148763.jpg#3,neutral,2425148763.jpg#3r1n,A meeting of young people sitting at a conference table.,( ( ( ( A meeting ) ( of ( young people ) ) ) ( sitting ( at ( a ( conference table ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN meeting)) (PP (IN of) (NP (JJ young) (NNS people)))) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN conference) (NN table)))) (. .))),young people are learning about politics,( ( young people ) ( are ( learning ( about politics ) ) ) ),(ROOT (S (NP (JJ young) (NNS people)) (VP (VBP are) (VP (VBG learning) (PP (IN about) (NP (NNS politics))))))) +935,['entailment'],2425148763.jpg#3,entailment,2425148763.jpg#3r1e,A meeting of young people sitting at a conference table.,( ( ( ( A meeting ) ( of ( young people ) ) ) ( sitting ( at ( a ( conference table ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN meeting)) (PP (IN of) (NP (JJ young) (NNS people)))) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN conference) (NN table)))) (. .))),young people are gathered around a table,( ( young people ) ( are ( gathered ( around ( a table ) ) ) ) ),(ROOT (S (NP (JJ young) (NNS people)) (VP (VBP are) (VP (VBN gathered) (PP (IN around) (NP (DT a) (NN table))))))) +936,['neutral'],2425148763.jpg#0,neutral,2425148763.jpg#0r1n,A woman in a red shirt is speaking at a table in a room where three other people are listening to her.,( ( ( A woman ) ( in ( a ( red shirt ) ) ) ) ( ( is ( ( speaking ( at ( ( a table ) ( in ( a room ) ) ) ) ) ( where ( ( three ( other people ) ) ( are ( listening ( to her ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG speaking) (PP (IN at) (NP (NP (DT a) (NN table)) (PP (IN in) (NP (DT a) (NN room))))) (SBAR (WHADVP (WRB where)) (S (NP (CD three) (JJ other) (NNS people)) (VP (VBP are) (VP (VBG listening) (PP (TO to) (NP (PRP her))))))))) (. .))),the woman is going to the park.,( ( the woman ) ( ( is ( going ( to ( the park ) ) ) ) . ) ),(ROOT (S (NP (DT the) (NN woman)) (VP (VBZ is) (VP (VBG going) (PP (TO to) (NP (DT the) (NN park))))) (. .))) +937,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",2425148763.jpg#0,contradiction,2425148763.jpg#0r1c,A woman in a red shirt is speaking at a table in a room where three other people are listening to her.,( ( ( A woman ) ( in ( a ( red shirt ) ) ) ) ( ( is ( ( speaking ( at ( ( a table ) ( in ( a room ) ) ) ) ) ( where ( ( three ( other people ) ) ( are ( listening ( to her ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG speaking) (PP (IN at) (NP (NP (DT a) (NN table)) (PP (IN in) (NP (DT a) (NN room))))) (SBAR (WHADVP (WRB where)) (S (NP (CD three) (JJ other) (NNS people)) (VP (VBP are) (VP (VBG listening) (PP (TO to) (NP (PRP her))))))))) (. .))),the woman is swimming in the lake.,( ( the woman ) ( ( is ( swimming ( in ( the lake ) ) ) ) . ) ),(ROOT (S (NP (DT the) (NN woman)) (VP (VBZ is) (VP (VBG swimming) (PP (IN in) (NP (DT the) (NN lake))))) (. .))) +938,['entailment'],2425148763.jpg#0,entailment,2425148763.jpg#0r1e,A woman in a red shirt is speaking at a table in a room where three other people are listening to her.,( ( ( A woman ) ( in ( a ( red shirt ) ) ) ) ( ( is ( ( speaking ( at ( ( a table ) ( in ( a room ) ) ) ) ) ( where ( ( three ( other people ) ) ( are ( listening ( to her ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (JJ red) (NN shirt)))) (VP (VBZ is) (VP (VBG speaking) (PP (IN at) (NP (NP (DT a) (NN table)) (PP (IN in) (NP (DT a) (NN room))))) (SBAR (WHADVP (WRB where)) (S (NP (CD three) (JJ other) (NNS people)) (VP (VBP are) (VP (VBG listening) (PP (TO to) (NP (PRP her))))))))) (. .))),the woman is wearing a red shirt.,( ( the woman ) ( ( is ( wearing ( a ( red shirt ) ) ) ) . ) ),(ROOT (S (NP (DT the) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ red) (NN shirt)))) (. .))) +939,['entailment'],2425148763.jpg#1,entailment,2425148763.jpg#1r3e,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),A woman talks to others indoors.,( ( A woman ) ( ( ( talks ( to others ) ) indoors ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NNS others))) (ADVP (RB indoors))) (. .))) +940,['neutral'],2425148763.jpg#1,neutral,2425148763.jpg#1r1n,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),a woman in an office building talks to a group of three taking notes on a notepad,( ( ( a woman ) ( in ( an ( office building ) ) ) ) ( ( talks ( to ( ( a group ) ( of three ) ) ) ) ( ( taking notes ) ( on ( a notepad ) ) ) ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT an) (NN office) (NN building)))) (VP (VBZ talks) (PP (TO to) (NP (NP (DT a) (NN group)) (PP (IN of) (NP (CD three))))) (S (VP (VBG taking) (NP (NNS notes)) (PP (IN on) (NP (DT a) (NN notepad)))))))) +941,['contradiction'],2425148763.jpg#1,contradiction,2425148763.jpg#1r1c,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),a man talks to ducks in a pond,( ( a man ) ( talks ( to ( ducks ( in ( a pond ) ) ) ) ) ),(ROOT (NP (NP (DT a) (NN man)) (NP (NP (NNS talks)) (PP (TO to) (NP (NP (NNS ducks)) (PP (IN in) (NP (DT a) (NN pond)))))))) +942,['neutral'],2425148763.jpg#1,neutral,2425148763.jpg#1r5n,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),the woman is white,( ( the woman ) ( is white ) ),(ROOT (S (NP (DT the) (NN woman)) (VP (VBZ is) (ADJP (JJ white))))) +943,['entailment'],2425148763.jpg#1,entailment,2425148763.jpg#1r1e,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),a woman in an office building talks to two other women and a man with notepads,( ( ( a woman ) ( in ( an ( office building ) ) ) ) ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with notepads ) ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT an) (NN office) (NN building)))) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NNS notepads)))))) +944,['contradiction'],2425148763.jpg#1,contradiction,2425148763.jpg#1r3c,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),A woman talks to dogs inside an office building.,( ( A woman ) ( ( talks ( to ( dogs ( inside ( an ( office building ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (NNS dogs)) (PP (IN inside) (NP (DT an) (NN office) (NN building)))))) (. .))) +945,['contradiction'],2425148763.jpg#1,contradiction,2425148763.jpg#1r5c,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),the woman is asleep at home,( ( the woman ) ( ( is asleep ) ( at home ) ) ),(ROOT (S (NP (DT the) (NN woman)) (VP (VBZ is) (ADJP (RB asleep)) (PP (IN at) (NP (NN home)))))) +946,['contradiction'],2425148763.jpg#1,contradiction,2425148763.jpg#1r4c,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),The people are outside of the building looking inside.,( ( The people ) ( ( ( are ( outside ( of ( the building ) ) ) ) ( looking inside ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (ADVP (IN outside) (PP (IN of) (NP (DT the) (NN building)))) (VP (VBG looking) (ADVP (RB inside)))) (. .))) +947,['entailment'],2425148763.jpg#1,entailment,2425148763.jpg#1r5e,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),a woman is talking,( ( a woman ) ( is talking ) ),(ROOT (S (NP (DT a) (NN woman)) (VP (VBZ is) (VP (VBG talking))))) +948,['neutral'],2425148763.jpg#1,neutral,2425148763.jpg#1r3n,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),A woman talks to others indoors about lunch.,( ( A woman ) ( ( ( talks ( to others ) ) ( indoors ( about lunch ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NNS others))) (PP (ADVP (RB indoors)) (IN about) (NP (NN lunch)))) (. .))) +949,['entailment'],2425148763.jpg#1,entailment,2425148763.jpg#1r4e,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),Four people stand near a wall speaking to each other.,( ( Four people ) ( ( stand ( near ( ( a wall ) ( speaking ( to ( each other ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Four) (NNS people)) (VP (VBP stand) (PP (IN near) (NP (NP (DT a) (NN wall)) (VP (VBG speaking) (PP (TO to) (NP (DT each) (JJ other))))))) (. .))) +950,['contradiction'],2425148763.jpg#1,contradiction,2425148763.jpg#1r2c,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),A woman talks to three other women.,( ( A woman ) ( ( talks ( to ( three ( other women ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (CD three) (JJ other) (NNS women)))) (. .))) +951,['neutral'],2425148763.jpg#1,neutral,2425148763.jpg#1r2n,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),A woman happily talks to two other women.,( ( A woman ) ( happily ( ( talks ( to ( two ( other women ) ) ) ) . ) ) ),(ROOT (S (NP (DT A) (NN woman)) (ADVP (RB happily)) (VP (VBZ talks) (PP (TO to) (NP (CD two) (JJ other) (NNS women)))) (. .))) +952,['neutral'],2425148763.jpg#1,neutral,2425148763.jpg#1r4n,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),The group are discussing a project.,( ( The group ) ( ( are ( discussing ( a project ) ) ) . ) ),(ROOT (S (NP (DT The) (NN group)) (VP (VBP are) (VP (VBG discussing) (NP (DT a) (NN project)))) (. .))) +953,['entailment'],2425148763.jpg#1,entailment,2425148763.jpg#1r2e,A woman talks to two other women and a man with notepads in an office building with large windows.,( ( A woman ) ( ( ( talks ( to ( ( ( two ( other women ) ) and ) ( a man ) ) ) ) ( with ( notepads ( in ( ( an ( office building ) ) ( with ( large windows ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (NP (CD two) (JJ other) (NNS women)) (CC and) (NP (DT a) (NN man)))) (PP (IN with) (NP (NP (NNS notepads)) (PP (IN in) (NP (NP (DT an) (NN office) (NN building)) (PP (IN with) (NP (JJ large) (NNS windows)))))))) (. .))),A woman talks to two other women.,( ( A woman ) ( ( talks ( to ( two ( other women ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ talks) (PP (TO to) (NP (CD two) (JJ other) (NNS women)))) (. .))) +954,['contradiction'],2425148763.jpg#4,contradiction,2425148763.jpg#4r1c,A classroom of students discussing lecture.,( ( ( A classroom ) ( of ( students discussing ) ) ) ( lecture . ) ),(ROOT (S (NP (NP (DT A) (NN classroom)) (PP (IN of) (NP (NP (NNS students)) (VP (VBG discussing))))) (VP (VBP lecture)) (. .))),The students are running in P.E. class.,( ( The students ) ( ( are ( running ( in ( P.E. class ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS students)) (VP (VBP are) (VP (VBG running) (PP (IN in) (NP (NNP P.E.) (NN class))))) (. .))) +955,['entailment'],2425148763.jpg#4,entailment,2425148763.jpg#4r1e,A classroom of students discussing lecture.,( ( ( A classroom ) ( of ( students discussing ) ) ) ( lecture . ) ),(ROOT (S (NP (NP (DT A) (NN classroom)) (PP (IN of) (NP (NP (NNS students)) (VP (VBG discussing))))) (VP (VBP lecture)) (. .))),A classroom is discussing the topics of the day.,( ( A classroom ) ( ( is ( discussing ( ( the topics ) ( of ( the day ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN classroom)) (VP (VBZ is) (VP (VBG discussing) (NP (NP (DT the) (NNS topics)) (PP (IN of) (NP (DT the) (NN day)))))) (. .))) +956,['neutral'],2425148763.jpg#4,neutral,2425148763.jpg#4r1n,A classroom of students discussing lecture.,( ( ( A classroom ) ( of ( students discussing ) ) ) ( lecture . ) ),(ROOT (S (NP (NP (DT A) (NN classroom)) (PP (IN of) (NP (NP (NNS students)) (VP (VBG discussing))))) (VP (VBP lecture)) (. .))),The students are discussing the lecture in history class.,( ( The students ) ( ( are ( discussing ( ( the lecture ) ( in ( history class ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS students)) (VP (VBP are) (VP (VBG discussing) (NP (NP (DT the) (NN lecture)) (PP (IN in) (NP (NN history) (NN class)))))) (. .))) +957,['neutral'],19245206.jpg#4,neutral,19245206.jpg#4r1n,A man holds a clipboard and a pen as a woman looks at them.,( ( A man ) ( ( ( holds ( ( ( a clipboard ) and ) ( a pen ) ) ) ( as ( ( a woman ) ( looks ( at them ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ holds) (NP (NP (DT a) (NN clipboard)) (CC and) (NP (DT a) (NN pen))) (SBAR (IN as) (S (NP (DT a) (NN woman)) (VP (VBZ looks) (PP (IN at) (NP (PRP them))))))) (. .))),The man is working,( ( The man ) ( is working ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG working))))) +958,['contradiction'],19245206.jpg#4,contradiction,19245206.jpg#4r1c,A man holds a clipboard and a pen as a woman looks at them.,( ( A man ) ( ( ( holds ( ( ( a clipboard ) and ) ( a pen ) ) ) ( as ( ( a woman ) ( looks ( at them ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ holds) (NP (NP (DT a) (NN clipboard)) (CC and) (NP (DT a) (NN pen))) (SBAR (IN as) (S (NP (DT a) (NN woman)) (VP (VBZ looks) (PP (IN at) (NP (PRP them))))))) (. .))),The woman is asleep,( ( The woman ) ( is asleep ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (ADJP (RB asleep))))) +959,['entailment'],19245206.jpg#4,entailment,19245206.jpg#4r1e,A man holds a clipboard and a pen as a woman looks at them.,( ( A man ) ( ( ( holds ( ( ( a clipboard ) and ) ( a pen ) ) ) ( as ( ( a woman ) ( looks ( at them ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ holds) (NP (NP (DT a) (NN clipboard)) (CC and) (NP (DT a) (NN pen))) (SBAR (IN as) (S (NP (DT a) (NN woman)) (VP (VBZ looks) (PP (IN at) (NP (PRP them))))))) (. .))),A woman is looking at a man's possessions,( ( A woman ) ( is ( looking ( at ( ( a ( man 's ) ) possessions ) ) ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN man) (POS 's)) (NNS possessions))))))) +960,['contradiction'],19245206.jpg#3,contradiction,19245206.jpg#3r1c,A man with a bright green shirt is talking to a woman in a pink shirt.,( ( ( A man ) ( with ( a ( bright ( green shirt ) ) ) ) ) ( ( is ( talking ( to ( ( a woman ) ( in ( a ( pink shirt ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ is) (VP (VBG talking) (PP (TO to) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT a) (JJ pink) (NN shirt))))))) (. .))),A couple are eating dinner.,( ( A couple ) ( ( are ( eating dinner ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP are) (VP (VBG eating) (NP (NN dinner)))) (. .))) +961,['neutral'],19245206.jpg#3,neutral,19245206.jpg#3r1n,A man with a bright green shirt is talking to a woman in a pink shirt.,( ( ( A man ) ( with ( a ( bright ( green shirt ) ) ) ) ) ( ( is ( talking ( to ( ( a woman ) ( in ( a ( pink shirt ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ is) (VP (VBG talking) (PP (TO to) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT a) (JJ pink) (NN shirt))))))) (. .))),A couple is standing outside.,( ( A couple ) ( ( is ( standing outside ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ is) (VP (VBG standing) (ADVP (RB outside)))) (. .))) +962,['entailment'],19245206.jpg#3,entailment,19245206.jpg#3r1e,A man with a bright green shirt is talking to a woman in a pink shirt.,( ( ( A man ) ( with ( a ( bright ( green shirt ) ) ) ) ) ( ( is ( talking ( to ( ( a woman ) ( in ( a ( pink shirt ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ is) (VP (VBG talking) (PP (TO to) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT a) (JJ pink) (NN shirt))))))) (. .))),A couple is talking.,( ( A couple ) ( ( is talking ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ is) (VP (VBG talking))) (. .))) +963,['entailment'],19245206.jpg#2,entailment,19245206.jpg#2r1e,A man in a green shirt holds out a clipboard for a woman in pink's attention.,( ( ( A man ) ( in ( a ( green shirt ) ) ) ) ( ( ( holds out ) ( ( a clipboard ) ( for ( ( a woman ) ( in ( ( pink 's ) attention ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ green) (NN shirt)))) (VP (VBZ holds) (PRT (RP out)) (NP (NP (DT a) (NN clipboard)) (PP (IN for) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (NN pink) (POS 's)) (NN attention))))))) (. .))),A man wants a woman to look at his clipboard,( ( A man ) ( wants ( a ( woman ( to ( look ( at ( his clipboard ) ) ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ wants) (NP (DT a) (NN woman) (S (VP (TO to) (VP (VB look) (PP (IN at) (NP (PRP$ his) (NN clipboard)))))))))) +964,['neutral'],19245206.jpg#2,neutral,19245206.jpg#2r1n,A man in a green shirt holds out a clipboard for a woman in pink's attention.,( ( ( A man ) ( in ( a ( green shirt ) ) ) ) ( ( ( holds out ) ( ( a clipboard ) ( for ( ( a woman ) ( in ( ( pink 's ) attention ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ green) (NN shirt)))) (VP (VBZ holds) (PRT (RP out)) (NP (NP (DT a) (NN clipboard)) (PP (IN for) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (NN pink) (POS 's)) (NN attention))))))) (. .))),a man is trying to get a woman to sign something,( ( a man ) ( is ( trying ( to ( get ( a ( woman ( to ( sign something ) ) ) ) ) ) ) ) ),(ROOT (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB get) (NP (DT a) (NN woman) (S (VP (TO to) (VP (VB sign) (NP (NN something))))))))))))) +965,['contradiction'],19245206.jpg#2,contradiction,19245206.jpg#2r1c,A man in a green shirt holds out a clipboard for a woman in pink's attention.,( ( ( A man ) ( in ( a ( green shirt ) ) ) ) ( ( ( holds out ) ( ( a clipboard ) ( for ( ( a woman ) ( in ( ( pink 's ) attention ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ green) (NN shirt)))) (VP (VBZ holds) (PRT (RP out)) (NP (NP (DT a) (NN clipboard)) (PP (IN for) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (NN pink) (POS 's)) (NN attention))))))) (. .))),A man takes off his shirt to get a womans attention,( ( A man ) ( ( takes off ) ( his ( shirt ( to ( get ( a ( womans attention ) ) ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ takes) (PRT (RP off)) (NP (PRP$ his) (NN shirt) (S (VP (TO to) (VP (VB get) (NP (DT a) (JJ womans) (NN attention))))))))) +966,['contradiction'],19245206.jpg#1,contradiction,19245206.jpg#1r3c,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),A man is wearing a gold shirt,( ( A man ) ( is ( wearing ( a ( gold shirt ) ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ gold) (NN shirt)))))) +967,['neutral'],19245206.jpg#1,neutral,19245206.jpg#1r4n,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),A man shows his boss something on a clipboard.,( ( A man ) ( ( ( shows ( his ( boss something ) ) ) ( on ( a clipboard ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ shows) (NP (PRP$ his) (NN boss) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard)))) (. .))) +968,['entailment'],19245206.jpg#1,entailment,19245206.jpg#1r5e,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),A man shows a woman something.,( ( A man ) ( ( shows ( a ( woman something ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ shows) (NP (DT a) (NN woman) (NN something))) (. .))) +969,['entailment'],19245206.jpg#1,entailment,19245206.jpg#1r1e,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),The man has something to tell the woman.,( ( The man ) ( ( has ( something ( to ( tell ( the woman ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ has) (NP (NN something) (S (VP (TO to) (VP (VB tell) (NP (DT the) (NN woman))))))) (. .))) +970,['entailment'],19245206.jpg#1,entailment,19245206.jpg#1r4e,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),Two people are looking at a clipboard.,( ( Two people ) ( ( are ( looking ( at ( a clipboard ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (VP (VBG looking) (PP (IN at) (NP (DT a) (NN clipboard))))) (. .))) +971,['contradiction'],19245206.jpg#1,contradiction,19245206.jpg#1r2c,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),The woman is wearing blue.,( ( The woman ) ( ( is ( wearing blue ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (ADJP (JJ blue)))) (. .))) +972,['neutral'],19245206.jpg#1,neutral,19245206.jpg#1r3n,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),A man is teaching a woman a concept,( ( A man ) ( is ( ( teaching ( a woman ) ) ( a concept ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG teaching) (NP (DT a) (NN woman)) (NP (DT a) (NN concept)))))) +973,['entailment'],19245206.jpg#1,entailment,19245206.jpg#1r2e,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),There is a man and a woman.,( There ( ( is ( ( ( a man ) and ) ( a woman ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN man)) (CC and) (NP (DT a) (NN woman)))) (. .))) +974,['contradiction'],19245206.jpg#1,contradiction,19245206.jpg#1r4c,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),Two people are looking at notes on an electronic tablet.,( ( Two people ) ( ( are ( looking ( at ( notes ( on ( an ( electronic tablet ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (VP (VBG looking) (PP (IN at) (NP (NP (NNS notes)) (PP (IN on) (NP (DT an) (JJ electronic) (NN tablet))))))) (. .))) +975,['contradiction'],19245206.jpg#1,contradiction,19245206.jpg#1r1c,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),The man is drinking a cup of coffee.,( ( The man ) ( ( is ( drinking ( ( a cup ) ( of coffee ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG drinking) (NP (NP (DT a) (NN cup)) (PP (IN of) (NP (NN coffee)))))) (. .))) +976,['entailment'],19245206.jpg#1,entailment,19245206.jpg#1r3e,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),A man is wearing a bright green shirt,( ( A man ) ( is ( wearing ( a ( bright ( green shirt ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))))) +977,['neutral'],19245206.jpg#1,neutral,19245206.jpg#1r1n,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),The man and the woman are employees at the same business.,( ( ( ( The man ) and ) ( the woman ) ) ( ( are ( employees ( at ( the ( same business ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN man)) (CC and) (NP (DT the) (NN woman))) (VP (VBP are) (NP (NP (NNS employees)) (PP (IN at) (NP (DT the) (JJ same) (NN business))))) (. .))) +978,['neutral'],19245206.jpg#1,neutral,19245206.jpg#1r5n,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),A man in a green shirt shows a woman his paychecks on a clipboard.,( ( ( A man ) ( in ( a ( green shirt ) ) ) ) ( ( shows ( ( a woman ) ( ( his paychecks ) ( on ( a clipboard ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ green) (NN shirt)))) (VP (VBZ shows) (S (NP (DT a) (NN woman)) (NP (NP (PRP$ his) (NNS paychecks)) (PP (IN on) (NP (DT a) (NN clipboard)))))) (. .))) +979,['contradiction'],19245206.jpg#1,contradiction,19245206.jpg#1r5c,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),The woman shows the man a clipboard.,( ( The woman ) ( ( shows ( ( the man ) ( a clipboard ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ shows) (NP (NP (DT the) (NN man)) (NP (DT a) (NN clipboard)))) (. .))) +980,['neutral'],19245206.jpg#1,neutral,19245206.jpg#1r2n,A man in a bright green shirt shows a woman in a bright pink shirt something on a clipboard.,( ( ( A man ) ( in ( a ( bright ( green shirt ) ) ) ) ) ( ( shows ( ( a woman ) ( in ( ( a ( bright ( pink ( shirt something ) ) ) ) ( on ( a clipboard ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ bright) (JJ green) (NN shirt)))) (VP (VBZ shows) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ bright) (JJ pink) (NN shirt) (NN something)) (PP (IN on) (NP (DT a) (NN clipboard))))))) (. .))),The clipboard has writting on it.,( ( The clipboard ) ( ( has ( writting ( on it ) ) ) . ) ),(ROOT (S (NP (DT The) (NN clipboard)) (VP (VBZ has) (VP (VBN writting) (PP (IN on) (NP (PRP it))))) (. .))) +981,['neutral'],19245206.jpg#0,neutral,19245206.jpg#0r2n,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),A man is showing a woman a funny video on his tablet,( ( A man ) ( is ( ( showing ( a woman ) ) ( ( a ( funny video ) ) ( on ( his tablet ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG showing) (NP (DT a) (NN woman)) (NP (NP (DT a) (JJ funny) (NN video)) (PP (IN on) (NP (PRP$ his) (NN tablet)))))))) +982,['neutral'],19245206.jpg#0,neutral,19245206.jpg#0r3n,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),The tablet is turned on.,( ( The tablet ) ( ( is ( turned on ) ) . ) ),(ROOT (S (NP (DT The) (NN tablet)) (VP (VBZ is) (VP (VBN turned) (PRT (RP on)))) (. .))) +983,['contradiction'],19245206.jpg#0,contradiction,19245206.jpg#0r3c,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),The man is on another street than the woman.,( ( The man ) ( ( is ( on ( ( another street ) ( than ( the woman ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (PP (IN on) (NP (NP (DT another) (NN street)) (PP (IN than) (NP (DT the) (NN woman)))))) (. .))) +984,['entailment'],19245206.jpg#0,entailment,19245206.jpg#0r3e,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),The man and woman are outdoors.,( ( The ( ( man and ) woman ) ) ( ( are outdoors ) . ) ),(ROOT (S (NP (DT The) (NN man) (CC and) (NN woman)) (VP (VBP are) (ADVP (RB outdoors))) (. .))) +985,['entailment'],19245206.jpg#0,entailment,19245206.jpg#0r5e,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),A man and a woman are outside.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are outside ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (ADJP (JJ outside))) (. .))) +986,['contradiction'],19245206.jpg#0,contradiction,19245206.jpg#0r5c,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),A man and a woman are eating in a resteraunt.,( ( ( ( A man ) and ) ( a woman ) ) ( ( are ( eating ( in ( a resteraunt ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBP are) (VP (VBG eating) (PP (IN in) (NP (DT a) (NN resteraunt))))) (. .))) +987,['contradiction'],19245206.jpg#0,contradiction,19245206.jpg#0r2c,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),A man is stealing a woman's tablet,( ( A man ) ( is ( stealing ( ( a ( woman 's ) ) tablet ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG stealing) (NP (NP (DT a) (NN woman) (POS 's)) (NN tablet)))))) +988,['contradiction'],19245206.jpg#0,contradiction,19245206.jpg#0r4c,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),A woman shows a cell phone to a person standing nearby.,( ( A woman ) ( ( ( shows ( a ( cell phone ) ) ) ( to ( ( a person ) ( standing nearby ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ shows) (NP (DT a) (NN cell) (NN phone)) (PP (TO to) (NP (NP (DT a) (NN person)) (VP (VBG standing) (ADVP (RB nearby)))))) (. .))) +989,['neutral'],19245206.jpg#0,neutral,19245206.jpg#0r5n,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),A couple are using a tablet to watch a video on the street.,( ( A couple ) ( ( are ( using ( a ( tablet ( to ( ( watch ( a video ) ) ( on ( the street ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP are) (VP (VBG using) (NP (DT a) (NN tablet) (S (VP (TO to) (VP (VB watch) (NP (DT a) (NN video)) (PP (IN on) (NP (DT the) (NN street))))))))) (. .))) +990,['entailment'],19245206.jpg#0,entailment,19245206.jpg#0r4e,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),A woman is shown a tablet by a man standing on the street.,( ( A woman ) ( ( is ( ( shown ( a tablet ) ) ( by ( ( a man ) ( standing ( on ( the street ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBN shown) (NP (DT a) (NN tablet)) (PP (IN by) (NP (NP (DT a) (NN man)) (VP (VBG standing) (PP (IN on) (NP (DT the) (NN street)))))))) (. .))) +991,['neutral'],19245206.jpg#0,neutral,19245206.jpg#0r1n,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),A man having cell phone in his hand,( A ( man ( having ( ( cell phone ) ( in ( his hand ) ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG having) (NP (NP (NN cell) (NN phone)) (PP (IN in) (NP (PRP$ his) (NN hand))))))))) +992,['neutral'],19245206.jpg#0,neutral,19245206.jpg#0r4n,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),A man shows directions to a museum on a tablet to a woman nearby.,( ( A man ) ( ( ( ( ( shows directions ) ( to ( ( a museum ) ( on ( a tablet ) ) ) ) ) ( to ( a woman ) ) ) nearby ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ shows) (NP (NNS directions)) (PP (TO to) (NP (NP (DT a) (NN museum)) (PP (IN on) (NP (DT a) (NN tablet))))) (PP (TO to) (NP (DT a) (NN woman))) (ADVP (RB nearby))) (. .))) +993,['entailment'],19245206.jpg#0,entailment,19245206.jpg#0r1e,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),There are some people in a street,( There ( are ( ( some people ) ( in ( a street ) ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (DT some) (NNS people)) (PP (IN in) (NP (DT a) (NN street))))))) +994,['contradiction'],19245206.jpg#0,contradiction,19245206.jpg#0r1c,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),The man handover the cell phone to the woman,( ( The ( man handover ) ) ( ( the ( cell phone ) ) ( to ( the woman ) ) ) ),(ROOT (NP (NP (DT The) (NN man) (NN handover)) (NP (NP (DT the) (NN cell) (NN phone)) (PP (TO to) (NP (DT the) (NN woman)))))) +995,['entailment'],19245206.jpg#0,entailment,19245206.jpg#0r2e,A man on a street in a bright t-shirt holds some sort of tablet towards a woman in a pink t-shirt and shades.,( ( ( A man ) ( on ( ( a street ) ( in ( a ( bright t-shirt ) ) ) ) ) ) ( ( ( holds ( ( some sort ) ( of tablet ) ) ) ( towards ( ( a woman ) ( in ( ( ( a ( pink t-shirt ) ) and ) shades ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN on) (NP (NP (DT a) (NN street)) (PP (IN in) (NP (DT a) (JJ bright) (NN t-shirt)))))) (VP (VBZ holds) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN tablet)))) (PP (IN towards) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ pink) (NN t-shirt)) (CC and) (NP (NNS shades))))))) (. .))),A man is showing a woman something,( ( A man ) ( is ( showing ( a ( woman something ) ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG showing) (NP (DT a) (NN woman) (NN something)))))) +996,['neutral'],2644916196.jpg#2,neutral,2644916196.jpg#2r1n,A child with a yellow cup and milk all over his face.,( ( ( ( A child ) ( with ( a ( yellow ( ( cup and ) milk ) ) ) ) ) ( all ( over ( his face ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN child)) (PP (IN with) (NP (DT a) (JJ yellow) (NN cup) (CC and) (NN milk)))) (NP (NP (DT all)) (PP (IN over) (NP (PRP$ his) (NN face)))) (. .))),The child spilled his milk.,( ( The child ) ( ( spilled ( his milk ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBD spilled) (NP (PRP$ his) (NN milk))) (. .))) +997,['contradiction'],2644916196.jpg#2,contradiction,2644916196.jpg#2r1c,A child with a yellow cup and milk all over his face.,( ( ( ( A child ) ( with ( a ( yellow ( ( cup and ) milk ) ) ) ) ) ( all ( over ( his face ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN child)) (PP (IN with) (NP (DT a) (JJ yellow) (NN cup) (CC and) (NN milk)))) (NP (NP (DT all)) (PP (IN over) (NP (PRP$ his) (NN face)))) (. .))),The child has a clean face.,( ( The child ) ( ( has ( a ( clean face ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ has) (NP (DT a) (JJ clean) (NN face))) (. .))) +998,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",2644916196.jpg#2,entailment,2644916196.jpg#2r1e,A child with a yellow cup and milk all over his face.,( ( ( ( A child ) ( with ( a ( yellow ( ( cup and ) milk ) ) ) ) ) ( all ( over ( his face ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN child)) (PP (IN with) (NP (DT a) (JJ yellow) (NN cup) (CC and) (NN milk)))) (NP (NP (DT all)) (PP (IN over) (NP (PRP$ his) (NN face)))) (. .))),The child had milk all over his face.,( ( The child ) ( ( ( had milk ) ( all ( over ( his face ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBD had) (NP (NN milk)) (PP (ADVP (DT all)) (IN over) (NP (PRP$ his) (NN face)))) (. .))) +999,['entailment'],462663804.jpg#0,entailment,462663804.jpg#0r1e,Two barefoot men are playing on a green lawn outside a building with other people in the background.,( ( Two ( barefoot men ) ) ( ( are ( ( playing ( on ( ( a ( green lawn ) ) ( outside ( a building ) ) ) ) ) ( with ( ( other people ) ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ barefoot) (NNS men)) (VP (VBP are) (VP (VBG playing) (PP (IN on) (NP (NP (DT a) (JJ green) (NN lawn)) (PP (IN outside) (NP (DT a) (NN building))))) (PP (IN with) (NP (NP (JJ other) (NNS people)) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),Two men are barefoot on the lawn.,( ( Two men ) ( ( ( are barefoot ) ( on ( the lawn ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (ADVP (RB barefoot)) (PP (IN on) (NP (DT the) (NN lawn)))) (. .))) +1000,['contradiction'],462663804.jpg#0,contradiction,462663804.jpg#0r1c,Two barefoot men are playing on a green lawn outside a building with other people in the background.,( ( Two ( barefoot men ) ) ( ( are ( ( playing ( on ( ( a ( green lawn ) ) ( outside ( a building ) ) ) ) ) ( with ( ( other people ) ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ barefoot) (NNS men)) (VP (VBP are) (VP (VBG playing) (PP (IN on) (NP (NP (DT a) (JJ green) (NN lawn)) (PP (IN outside) (NP (DT a) (NN building))))) (PP (IN with) (NP (NP (JJ other) (NNS people)) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),Two men in sandles are on the beach.,( ( ( Two men ) ( in sandles ) ) ( ( are ( on ( the beach ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS men)) (PP (IN in) (NP (NNS sandles)))) (VP (VBP are) (PP (IN on) (NP (DT the) (NN beach)))) (. .))) +1001,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",462663804.jpg#0,neutral,462663804.jpg#0r1n,Two barefoot men are playing on a green lawn outside a building with other people in the background.,( ( Two ( barefoot men ) ) ( ( are ( ( playing ( on ( ( a ( green lawn ) ) ( outside ( a building ) ) ) ) ) ( with ( ( other people ) ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ barefoot) (NNS men)) (VP (VBP are) (VP (VBG playing) (PP (IN on) (NP (NP (DT a) (JJ green) (NN lawn)) (PP (IN outside) (NP (DT a) (NN building))))) (PP (IN with) (NP (NP (JJ other) (NNS people)) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),Two men are playing barefoot lawn darts.,( ( Two men ) ( ( are ( playing ( barefoot ( lawn darts ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG playing) (NP (JJ barefoot) (NN lawn) (NN darts)))) (. .))) +1002,['entailment'],2644916196.jpg#0,entailment,2644916196.jpg#0r1e,Small laughing child with blond-hair sitting at a table holding a green sippy cup.,( ( ( ( Small ( laughing child ) ) ( with ( blond-hair sitting ) ) ) ( at ( ( a table ) ( holding ( a ( green ( sippy cup ) ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Small) (VBG laughing) (NN child)) (PP (IN with) (NP (JJ blond-hair) (NN sitting))) (PP (IN at) (NP (NP (DT a) (NN table)) (VP (VBG holding) (NP (DT a) (JJ green) (NN sippy) (NN cup))))) (. .))),The child is happy.,( ( The child ) ( ( is happy ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ is) (ADJP (JJ happy))) (. .))) +1003,['neutral'],2644916196.jpg#0,neutral,2644916196.jpg#0r1n,Small laughing child with blond-hair sitting at a table holding a green sippy cup.,( ( ( ( Small ( laughing child ) ) ( with ( blond-hair sitting ) ) ) ( at ( ( a table ) ( holding ( a ( green ( sippy cup ) ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Small) (VBG laughing) (NN child)) (PP (IN with) (NP (JJ blond-hair) (NN sitting))) (PP (IN at) (NP (NP (DT a) (NN table)) (VP (VBG holding) (NP (DT a) (JJ green) (NN sippy) (NN cup))))) (. .))),A child is drinking apple juice.,( ( A child ) ( ( is ( drinking ( apple juice ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ is) (VP (VBG drinking) (NP (NN apple) (NN juice)))) (. .))) +1004,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",2644916196.jpg#0,contradiction,2644916196.jpg#0r1c,Small laughing child with blond-hair sitting at a table holding a green sippy cup.,( ( ( ( Small ( laughing child ) ) ( with ( blond-hair sitting ) ) ) ( at ( ( a table ) ( holding ( a ( green ( sippy cup ) ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Small) (VBG laughing) (NN child)) (PP (IN with) (NP (JJ blond-hair) (NN sitting))) (PP (IN at) (NP (NP (DT a) (NN table)) (VP (VBG holding) (NP (DT a) (JJ green) (NN sippy) (NN cup))))) (. .))),A child is throwing a tantrum.,( ( A child ) ( ( is ( throwing ( a tantrum ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ is) (VP (VBG throwing) (NP (DT a) (NN tantrum)))) (. .))) +1005,['neutral'],2644916196.jpg#1,neutral,2644916196.jpg#1r1n,A little boy drinks milk and gets milk all over his face and table.,( ( A ( little boy ) ) ( ( ( ( drinks milk ) and ) ( ( gets milk ) ( all ( over ( his ( ( face and ) table ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VP (VBZ drinks) (NP (NN milk))) (CC and) (VP (VBZ gets) (NP (NN milk)) (PP (ADVP (DT all)) (IN over) (NP (PRP$ his) (NN face) (CC and) (NN table))))) (. .))),the kid has milk on his face on a school day,( ( the kid ) ( has ( milk ( on ( ( his face ) ( on ( a ( school day ) ) ) ) ) ) ) ),(ROOT (S (NP (DT the) (NN kid)) (VP (VBZ has) (NP (NP (NN milk)) (PP (IN on) (NP (NP (PRP$ his) (NN face)) (PP (IN on) (NP (DT a) (NN school) (NN day))))))))) +1006,['contradiction'],2644916196.jpg#1,contradiction,2644916196.jpg#1r1c,A little boy drinks milk and gets milk all over his face and table.,( ( A ( little boy ) ) ( ( ( ( drinks milk ) and ) ( ( gets milk ) ( all ( over ( his ( ( face and ) table ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VP (VBZ drinks) (NP (NN milk))) (CC and) (VP (VBZ gets) (NP (NN milk)) (PP (ADVP (DT all)) (IN over) (NP (PRP$ his) (NN face) (CC and) (NN table))))) (. .))),the dog eats mice,( ( the dog ) ( eats mice ) ),(ROOT (S (NP (DT the) (NN dog)) (VP (VBZ eats) (NP (NNS mice))))) +1007,['entailment'],2644916196.jpg#1,entailment,2644916196.jpg#1r1e,A little boy drinks milk and gets milk all over his face and table.,( ( A ( little boy ) ) ( ( ( ( drinks milk ) and ) ( ( gets milk ) ( all ( over ( his ( ( face and ) table ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ little) (NN boy)) (VP (VP (VBZ drinks) (NP (NN milk))) (CC and) (VP (VBZ gets) (NP (NN milk)) (PP (ADVP (DT all)) (IN over) (NP (PRP$ his) (NN face) (CC and) (NN table))))) (. .))),the kid has milk on his face,( ( the kid ) ( has ( milk ( on ( his face ) ) ) ) ),(ROOT (S (NP (DT the) (NN kid)) (VP (VBZ has) (NP (NP (NN milk)) (PP (IN on) (NP (PRP$ his) (NN face))))))) +1008,['neutral'],5511461225.jpg#2,neutral,5511461225.jpg#2r1n,Two pre-teen girls listening to music on an MP3 player with headphones.,( ( ( Two ( pre-teen girls ) ) ( ( listening ( to music ) ) ( on ( ( an ( MP3 player ) ) ( with headphones ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (JJ pre-teen) (NNS girls)) (VP (VBG listening) (PP (TO to) (NP (NN music))) (PP (IN on) (NP (NP (DT an) (NN MP3) (NN player)) (PP (IN with) (NP (NNS headphones)))))) (. .))),The music is loud.,( ( The music ) ( ( is loud ) . ) ),(ROOT (S (NP (DT The) (NN music)) (VP (VBZ is) (ADJP (JJ loud))) (. .))) +1009,['entailment'],5511461225.jpg#2,entailment,5511461225.jpg#2r1e,Two pre-teen girls listening to music on an MP3 player with headphones.,( ( ( Two ( pre-teen girls ) ) ( ( listening ( to music ) ) ( on ( ( an ( MP3 player ) ) ( with headphones ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (JJ pre-teen) (NNS girls)) (VP (VBG listening) (PP (TO to) (NP (NN music))) (PP (IN on) (NP (NP (DT an) (NN MP3) (NN player)) (PP (IN with) (NP (NNS headphones)))))) (. .))),Thre are girls.,( Thre ( ( are girls ) . ) ),(ROOT (S (NP (NNP Thre)) (VP (VBP are) (NP (NNS girls))) (. .))) +1010,['contradiction'],5511461225.jpg#2,contradiction,5511461225.jpg#2r1c,Two pre-teen girls listening to music on an MP3 player with headphones.,( ( ( Two ( pre-teen girls ) ) ( ( listening ( to music ) ) ( on ( ( an ( MP3 player ) ) ( with headphones ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (JJ pre-teen) (NNS girls)) (VP (VBG listening) (PP (TO to) (NP (NN music))) (PP (IN on) (NP (NP (DT an) (NN MP3) (NN player)) (PP (IN with) (NP (NNS headphones)))))) (. .))),The player is a cd player.,( ( The player ) ( ( is ( a ( cd player ) ) ) . ) ),(ROOT (S (NP (DT The) (NN player)) (VP (VBZ is) (NP (DT a) (NN cd) (NN player))) (. .))) +1011,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",3207676216.jpg#3,contradiction,3207676216.jpg#3r1c,A man is running behind a dogsled being pulled by four dogs.,( ( A man ) ( ( is ( running ( behind ( ( a dogsled ) ( being ( pulled ( by ( four dogs ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG running) (PP (IN behind) (NP (NP (DT a) (NN dogsled)) (VP (VBG being) (VP (VBN pulled) (PP (IN by) (NP (CD four) (NNS dogs))))))))) (. .))),A man is being pulled by himself.,( ( A man ) ( ( is ( being ( pulled ( by himself ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG being) (VP (VBN pulled) (PP (IN by) (NP (PRP himself)))))) (. .))) +1012,['entailment'],3207676216.jpg#3,entailment,3207676216.jpg#3r1e,A man is running behind a dogsled being pulled by four dogs.,( ( A man ) ( ( is ( running ( behind ( ( a dogsled ) ( being ( pulled ( by ( four dogs ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG running) (PP (IN behind) (NP (NP (DT a) (NN dogsled)) (VP (VBG being) (VP (VBN pulled) (PP (IN by) (NP (CD four) (NNS dogs))))))))) (. .))),A man is running behind a sled.,( ( A man ) ( ( is ( running ( behind ( a sled ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG running) (PP (IN behind) (NP (DT a) (NN sled))))) (. .))) +1013,['neutral'],3207676216.jpg#3,neutral,3207676216.jpg#3r1n,A man is running behind a dogsled being pulled by four dogs.,( ( A man ) ( ( is ( running ( behind ( ( a dogsled ) ( being ( pulled ( by ( four dogs ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG running) (PP (IN behind) (NP (NP (DT a) (NN dogsled)) (VP (VBG being) (VP (VBN pulled) (PP (IN by) (NP (CD four) (NNS dogs))))))))) (. .))),A man is racing with the dogs.,( ( A man ) ( ( is ( racing ( with ( the dogs ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG racing) (PP (IN with) (NP (DT the) (NNS dogs))))) (. .))) +1014,['entailment'],2644916196.jpg#4,entailment,2644916196.jpg#4r1e,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),A child has milk on their face.,( ( A child ) ( ( has ( milk ( on ( their face ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ has) (NP (NP (NN milk)) (PP (IN on) (NP (PRP$ their) (NN face))))) (. .))) +1015,['entailment'],2644916196.jpg#4,entailment,2644916196.jpg#4r2e,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),A child was making a mess with milk.,( ( A child ) ( ( was ( ( making ( a mess ) ) ( with milk ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBD was) (VP (VBG making) (NP (DT a) (NN mess)) (PP (IN with) (NP (NN milk))))) (. .))) +1016,['contradiction'],2644916196.jpg#4,contradiction,2644916196.jpg#4r3c,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),A toddler with juice around his mouth.,( ( ( ( A toddler ) ( with juice ) ) ( around ( his mouth ) ) ) . ),(ROOT (NP (NP (DT A) (NN toddler)) (PP (IN with) (NP (NN juice))) (PP (IN around) (NP (PRP$ his) (NN mouth))) (. .))) +1017,['contradiction'],2644916196.jpg#4,contradiction,2644916196.jpg#4r5c,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),Toddler eating milk.,( ( Toddler ( eating milk ) ) . ),(ROOT (NP (NP (NNP Toddler)) (VP (VBG eating) (NP (NN milk))) (. .))) +1018,['neutral'],2644916196.jpg#4,neutral,2644916196.jpg#4r2n,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),A child threw up milk on himself.,( ( A child ) ( ( ( threw up ) ( milk ( on himself ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBD threw) (PRT (RP up)) (NP (NP (NN milk)) (PP (IN on) (NP (PRP himself))))) (. .))) +1019,['entailment'],2644916196.jpg#4,entailment,2644916196.jpg#4r3e,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),A child.,( A ( child . ) ),(ROOT (NP (DT A) (NN child) (. .))) +1020,['entailment'],2644916196.jpg#4,entailment,2644916196.jpg#4r5e,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),Toddler wearing mik,( Toddler ( wearing mik ) ),(ROOT (S (VP (VB Toddler) (S (VP (VBG wearing) (NP (NN mik))))))) +1021,['contradiction'],2644916196.jpg#4,contradiction,2644916196.jpg#4r2c,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),A man spills beer on his shirt.,( ( A man ) ( ( spills ( beer ( on ( his shirt ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ spills) (NP (NP (NN beer)) (PP (IN on) (NP (PRP$ his) (NN shirt))))) (. .))) +1022,['entailment'],2644916196.jpg#4,entailment,2644916196.jpg#4r4e,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),The toddler has milk around the corners of his mouth.,( ( The toddler ) ( ( has ( milk ( around ( ( the corners ) ( of ( his mouth ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN toddler)) (VP (VBZ has) (NP (NP (NN milk)) (PP (IN around) (NP (NP (DT the) (NNS corners)) (PP (IN of) (NP (PRP$ his) (NN mouth))))))) (. .))) +1023,['contradiction'],2644916196.jpg#4,contradiction,2644916196.jpg#4r4c,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),The toddler has icecream around his mouth.,( ( The toddler ) ( ( has ( icecream ( around ( his mouth ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN toddler)) (VP (VBZ has) (NP (NP (NN icecream)) (PP (IN around) (NP (PRP$ his) (NN mouth))))) (. .))) +1024,['contradiction'],2644916196.jpg#4,contradiction,2644916196.jpg#4r1c,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),The child was well groomed.,( ( The child ) ( ( was ( well groomed ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBD was) (ADJP (RB well) (VBN groomed))) (. .))) +1025,['neutral'],2644916196.jpg#4,neutral,2644916196.jpg#4r5n,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),Toddler drinking milk.,( ( Toddler ( drinking milk ) ) . ),(ROOT (S (VP (VB Toddler) (NP (NN drinking) (NN milk))) (. .))) +1026,['neutral'],2644916196.jpg#4,neutral,2644916196.jpg#4r3n,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),A toddler just drank his first glass of milk.,( ( A toddler ) ( just ( ( drank ( ( his ( first glass ) ) ( of milk ) ) ) . ) ) ),(ROOT (S (NP (DT A) (NN toddler)) (ADVP (RB just)) (VP (VBD drank) (NP (NP (PRP$ his) (JJ first) (NN glass)) (PP (IN of) (NP (NN milk))))) (. .))) +1027,['neutral'],2644916196.jpg#4,neutral,2644916196.jpg#4r1n,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),The child was still unable to drink milk properly.,( ( The child ) ( ( ( was still ) ( unable ( to ( ( drink milk ) properly ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBD was) (ADVP (RB still)) (ADJP (JJ unable) (S (VP (TO to) (VP (VB drink) (NP (NN milk)) (ADVP (RB properly))))))) (. .))) +1028,['neutral'],2644916196.jpg#4,neutral,2644916196.jpg#4r4n,Toddler with milk around his mouth.,( ( ( Toddler ( with milk ) ) ( around ( his mouth ) ) ) . ),(ROOT (S (VP (VB Toddler) (PP (IN with) (NP (NN milk))) (PP (IN around) (NP (PRP$ his) (NN mouth)))) (. .))),The toddler with milk around his mouth is making a mess.,( ( ( The toddler ) ( with ( milk ( around ( his mouth ) ) ) ) ) ( ( is ( making ( a mess ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN toddler)) (PP (IN with) (NP (NP (NN milk)) (PP (IN around) (NP (PRP$ his) (NN mouth)))))) (VP (VBZ is) (VP (VBG making) (NP (DT a) (NN mess)))) (. .))) +1029,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",3207676216.jpg#1,contradiction,3207676216.jpg#1r1c,A man dressed in warm clothing sleds behind four dogs in the snow.,( ( A man ) ( ( ( dressed ( in ( warm ( clothing sleds ) ) ) ) ( behind ( ( four dogs ) ( in ( the snow ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBD dressed) (PP (IN in) (NP (JJ warm) (NN clothing) (NNS sleds))) (PP (IN behind) (NP (NP (CD four) (NNS dogs)) (PP (IN in) (NP (DT the) (NN snow)))))) (. .))),The man is swimming with his dogs.,( ( The man ) ( ( is ( swimming ( with ( his dogs ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG swimming) (PP (IN with) (NP (PRP$ his) (NNS dogs))))) (. .))) +1030,['entailment'],3207676216.jpg#1,entailment,3207676216.jpg#1r1e,A man dressed in warm clothing sleds behind four dogs in the snow.,( ( A man ) ( ( ( dressed ( in ( warm ( clothing sleds ) ) ) ) ( behind ( ( four dogs ) ( in ( the snow ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBD dressed) (PP (IN in) (NP (JJ warm) (NN clothing) (NNS sleds))) (PP (IN behind) (NP (NP (CD four) (NNS dogs)) (PP (IN in) (NP (DT the) (NN snow)))))) (. .))),The man is outside sledding.,( ( The man ) ( ( is ( outside sledding ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (NP (JJ outside) (NN sledding))) (. .))) +1031,['neutral'],3207676216.jpg#1,neutral,3207676216.jpg#1r1n,A man dressed in warm clothing sleds behind four dogs in the snow.,( ( A man ) ( ( ( dressed ( in ( warm ( clothing sleds ) ) ) ) ( behind ( ( four dogs ) ( in ( the snow ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBD dressed) (PP (IN in) (NP (JJ warm) (NN clothing) (NNS sleds))) (PP (IN behind) (NP (NP (CD four) (NNS dogs)) (PP (IN in) (NP (DT the) (NN snow)))))) (. .))),The man is sledding in Alaska.,( ( The man ) ( ( is ( sledding ( in Alaska ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (NP (NP (NN sledding)) (PP (IN in) (NP (NNP Alaska))))) (. .))) +1032,['neutral'],3352135319.jpg#4,neutral,3352135319.jpg#4r1n,A cowboy Roping a calf in a rodeo.,( ( ( A cowboy ) ( Roping ( ( a calf ) ( in ( a rodeo ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN cowboy)) (VP (VBG Roping) (NP (NP (DT a) (NN calf)) (PP (IN in) (NP (DT a) (NN rodeo))))) (. .))),A cowboy with a brown hat is roping a calf in a rodeo.,( ( ( A cowboy ) ( with ( a ( brown hat ) ) ) ) ( ( is ( roping ( ( a calf ) ( in ( a rodeo ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN cowboy)) (PP (IN with) (NP (DT a) (JJ brown) (NN hat)))) (VP (VBZ is) (VP (VBG roping) (NP (NP (DT a) (NN calf)) (PP (IN in) (NP (DT a) (NN rodeo)))))) (. .))) +1033,['contradiction'],3352135319.jpg#4,contradiction,3352135319.jpg#4r1c,A cowboy Roping a calf in a rodeo.,( ( ( A cowboy ) ( Roping ( ( a calf ) ( in ( a rodeo ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN cowboy)) (VP (VBG Roping) (NP (NP (DT a) (NN calf)) (PP (IN in) (NP (DT a) (NN rodeo))))) (. .))),A man is working in an office on a laptop.,( ( A man ) ( ( is ( working ( in ( ( an office ) ( on ( a laptop ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG working) (PP (IN in) (NP (NP (DT an) (NN office)) (PP (IN on) (NP (DT a) (NN laptop))))))) (. .))) +1034,['entailment'],3352135319.jpg#4,entailment,3352135319.jpg#4r1e,A cowboy Roping a calf in a rodeo.,( ( ( A cowboy ) ( Roping ( ( a calf ) ( in ( a rodeo ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN cowboy)) (VP (VBG Roping) (NP (NP (DT a) (NN calf)) (PP (IN in) (NP (DT a) (NN rodeo))))) (. .))),A person is performing.,( ( A person ) ( ( is performing ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (ADJP (VBG performing))) (. .))) +1035,['contradiction'],535179217.jpg#4,contradiction,535179217.jpg#4r1c,Men fish on a concrete slab.,( ( ( Men fish ) ( on ( a ( concrete slab ) ) ) ) . ),(ROOT (NP (NP (NN Men) (NN fish)) (PP (IN on) (NP (DT a) (JJ concrete) (NN slab))) (. .))),Men are sleeping in tents.,( Men ( ( are ( sleeping ( in tents ) ) ) . ) ),(ROOT (S (NP (NNP Men)) (VP (VBP are) (VP (VBG sleeping) (PP (IN in) (NP (NNS tents))))) (. .))) +1036,['entailment'],535179217.jpg#4,entailment,535179217.jpg#4r1e,Men fish on a concrete slab.,( ( ( Men fish ) ( on ( a ( concrete slab ) ) ) ) . ),(ROOT (NP (NP (NN Men) (NN fish)) (PP (IN on) (NP (DT a) (JJ concrete) (NN slab))) (. .))),Men are near the water.,( Men ( ( are ( near ( the water ) ) ) . ) ),(ROOT (S (NP (NNP Men)) (VP (VBP are) (PP (IN near) (NP (DT the) (NN water)))) (. .))) +1037,['neutral'],535179217.jpg#4,neutral,535179217.jpg#4r1n,Men fish on a concrete slab.,( ( ( Men fish ) ( on ( a ( concrete slab ) ) ) ) . ),(ROOT (NP (NP (NN Men) (NN fish)) (PP (IN on) (NP (DT a) (JJ concrete) (NN slab))) (. .))),Men are fishing for trout.,( Men ( ( are ( fishing ( for trout ) ) ) . ) ),(ROOT (S (NP (NNP Men)) (VP (VBP are) (VP (VBG fishing) (PP (IN for) (NP (NNS trout))))) (. .))) +1038,['neutral'],15085612.jpg#0,neutral,15085612.jpg#0r1n,A man wearing a blue shirt screaming or yelling with his arms raised up in the air.,( ( ( A man ) ( ( wearing ( a ( blue shirt ) ) ) ( ( ( screaming or ) yelling ) ( with ( his arms ) ) ) ) ) ( ( ( raised up ) ( in ( the air ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt)) (S (VP (VBG screaming) (CC or) (VBG yelling) (PP (IN with) (NP (PRP$ his) (NNS arms))))))) (VP (VBD raised) (PRT (RP up)) (PP (IN in) (NP (DT the) (NN air)))) (. .))),A man is angry.,( ( A man ) ( ( is angry ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (ADJP (JJ angry))) (. .))) +1039,"['entailment', 'contradiction', 'entailment', 'entailment', 'entailment']",15085612.jpg#0,entailment,15085612.jpg#0r1e,A man wearing a blue shirt screaming or yelling with his arms raised up in the air.,( ( ( A man ) ( ( wearing ( a ( blue shirt ) ) ) ( ( ( screaming or ) yelling ) ( with ( his arms ) ) ) ) ) ( ( ( raised up ) ( in ( the air ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt)) (S (VP (VBG screaming) (CC or) (VBG yelling) (PP (IN with) (NP (PRP$ his) (NNS arms))))))) (VP (VBD raised) (PRT (RP up)) (PP (IN in) (NP (DT the) (NN air)))) (. .))),A man makes a ruckus.,( ( A man ) ( ( makes ( a ruckus ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ makes) (NP (DT a) (NNS ruckus))) (. .))) +1040,['contradiction'],15085612.jpg#0,contradiction,15085612.jpg#0r1c,A man wearing a blue shirt screaming or yelling with his arms raised up in the air.,( ( ( A man ) ( ( wearing ( a ( blue shirt ) ) ) ( ( ( screaming or ) yelling ) ( with ( his arms ) ) ) ) ) ( ( ( raised up ) ( in ( the air ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt)) (S (VP (VBG screaming) (CC or) (VBG yelling) (PP (IN with) (NP (PRP$ his) (NNS arms))))))) (VP (VBD raised) (PRT (RP up)) (PP (IN in) (NP (DT the) (NN air)))) (. .))),A man is relaxed.,( ( A man ) ( ( is relaxed ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (ADJP (VBN relaxed))) (. .))) +1041,['contradiction'],535179217.jpg#0,contradiction,535179217.jpg#0r1c,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",one person swims in water,( ( one person ) ( swims ( in water ) ) ),(ROOT (S (NP (CD one) (NN person)) (VP (VBZ swims) (PP (IN in) (NP (NN water)))))) +1042,['contradiction'],535179217.jpg#0,contradiction,535179217.jpg#0r4c,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",Four people sitting near the pond.,( ( ( Four people ) ( sitting ( near ( the pond ) ) ) ) . ),(ROOT (NP (NP (CD Four) (NNS people)) (VP (VBG sitting) (PP (IN near) (NP (DT the) (NN pond)))) (. .))) +1043,['neutral'],535179217.jpg#0,neutral,535179217.jpg#0r2n,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",There is chalk art on the sidewalk.,( There ( ( is ( ( chalk art ) ( on ( the sidewalk ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (NN chalk) (NN art)) (PP (IN on) (NP (DT the) (NN sidewalk))))) (. .))) +1044,['entailment'],535179217.jpg#0,entailment,535179217.jpg#0r1e,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",one person sits while three stand near a body of water.,( ( one person ) ( ( sits ( while ( three ( stand ( near ( ( a body ) ( of water ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD one) (NN person)) (VP (VBZ sits) (SBAR (IN while) (S (NP (CD three)) (VP (VBP stand) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water))))))))) (. .))) +1045,['contradiction'],535179217.jpg#0,contradiction,535179217.jpg#0r5c,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",People are standing on stairs.,( People ( ( are ( standing ( on stairs ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG standing) (PP (IN on) (NP (NNS stairs))))) (. .))) +1046,['contradiction'],535179217.jpg#0,contradiction,535179217.jpg#0r3c,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",A group of people are inside a building.,( ( ( A group ) ( of people ) ) ( ( are ( inside ( a building ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (PP (IN inside) (NP (DT a) (NN building)))) (. .))) +1047,['contradiction'],535179217.jpg#0,contradiction,535179217.jpg#0r2c,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",The sidewalk is desolate and empty.,( ( The sidewalk ) ( ( is ( ( desolate and ) empty ) ) . ) ),(ROOT (S (NP (DT The) (NN sidewalk)) (VP (VBZ is) (ADJP (JJ desolate) (CC and) (JJ empty))) (. .))) +1048,['neutral'],535179217.jpg#0,neutral,535179217.jpg#0r4n,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",Four people congregate at the pond.,( ( Four people ) ( ( congregate ( at ( the pond ) ) ) . ) ),(ROOT (S (NP (CD Four) (NNS people)) (VP (VBD congregate) (PP (IN at) (NP (DT the) (NN pond)))) (. .))) +1049,['neutral'],535179217.jpg#0,neutral,535179217.jpg#0r5n,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",People are going swimming.,( People ( ( are ( going swimming ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG going) (NP (NN swimming)))) (. .))) +1050,['entailment'],535179217.jpg#0,entailment,535179217.jpg#0r2e,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",There are people on a sidewalk.,( There ( ( are ( people ( on ( a sidewalk ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (PP (IN on) (NP (DT a) (NN sidewalk))))) (. .))) +1051,['neutral'],535179217.jpg#0,neutral,535179217.jpg#0r3n,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",Everyone is wearing a dress.,( Everyone ( ( is ( wearing ( a dress ) ) ) . ) ),(ROOT (S (NP (NN Everyone)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN dress)))) (. .))) +1052,['entailment'],535179217.jpg#0,entailment,535179217.jpg#0r5e,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",People are near water.,( People ( ( are ( near water ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (PP (IN near) (NP (NN water)))) (. .))) +1053,['entailment'],535179217.jpg#0,entailment,535179217.jpg#0r4e,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",Four people congregate near the water.,( ( Four people ) ( ( congregate ( near ( the water ) ) ) . ) ),(ROOT (S (NP (CD Four) (NNS people)) (VP (VBD congregate) (PP (IN near) (NP (DT the) (NN water)))) (. .))) +1054,['entailment'],535179217.jpg#0,entailment,535179217.jpg#0r3e,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))",There are people outdoors.,( There ( ( ( are people ) outdoors ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NNS people)) (ADVP (RB outdoors))) (. .))) +1055,['neutral'],535179217.jpg#0,neutral,535179217.jpg#0r1n,"Four people near a body of water, one sitting and three standing, while two people walk on a nearby sidewalk.","( ( ( ( ( ( Four people ) ( near ( ( a body ) ( of water ) ) ) ) , ) ( ( ( one sitting ) and ) ( three standing ) ) ) , ) ( ( while ( two people ) ) ( ( walk ( on ( a ( nearby sidewalk ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (CD Four) (NNS people)) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (, ,) (NP (NP (CD one) (NN sitting)) (CC and) (NP (CD three) (NN standing))) (, ,)) (ADVP (IN while) (NP (CD two) (NNS people))) (VP (VBP walk) (PP (IN on) (NP (DT a) (JJ nearby) (NN sidewalk)))) (. .)))","one person rests, sitting down while three others stand near a body of water","( ( one person ) ( ( rests , ) ( ( sitting down ) ( while ( ( three others ) ( stand ( near ( ( a body ) ( of water ) ) ) ) ) ) ) ) )","(ROOT (S (NP (CD one) (NN person)) (VP (VBZ rests) (, ,) (S (VP (VBG sitting) (PRT (RP down)) (SBAR (IN while) (S (NP (CD three) (NNS others)) (VP (VBP stand) (PP (IN near) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))))))))))" +1056,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",847782643.jpg#2,neutral,847782643.jpg#2r1n,Two little girls lie on the carpet next to an O made of wooden blocks.,( ( Two ( little girls ) ) ( ( ( lie ( on ( the carpet ) ) ) ( next ( to ( ( an O ) ( made ( of ( wooden blocks ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ little) (NNS girls)) (VP (VBP lie) (PP (IN on) (NP (DT the) (NN carpet))) (ADVP (JJ next) (PP (TO to) (NP (NP (DT an) (NN O)) (VP (VBN made) (PP (IN of) (NP (JJ wooden) (NNS blocks)))))))) (. .))),Two girls are taking a nap on the carpet.,( ( Two girls ) ( ( are ( taking ( ( a nap ) ( on ( the carpet ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS girls)) (VP (VBP are) (VP (VBG taking) (NP (NP (DT a) (NN nap)) (PP (IN on) (NP (DT the) (NN carpet)))))) (. .))) +1057,['contradiction'],847782643.jpg#2,contradiction,847782643.jpg#2r1c,Two little girls lie on the carpet next to an O made of wooden blocks.,( ( Two ( little girls ) ) ( ( ( lie ( on ( the carpet ) ) ) ( next ( to ( ( an O ) ( made ( of ( wooden blocks ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ little) (NNS girls)) (VP (VBP lie) (PP (IN on) (NP (DT the) (NN carpet))) (ADVP (JJ next) (PP (TO to) (NP (NP (DT an) (NN O)) (VP (VBN made) (PP (IN of) (NP (JJ wooden) (NNS blocks)))))))) (. .))),Two girls are having a pillow fight.,( ( Two girls ) ( ( are ( having ( a ( pillow fight ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS girls)) (VP (VBP are) (VP (VBG having) (NP (DT a) (NN pillow) (NN fight)))) (. .))) +1058,['entailment'],847782643.jpg#2,entailment,847782643.jpg#2r1e,Two little girls lie on the carpet next to an O made of wooden blocks.,( ( Two ( little girls ) ) ( ( ( lie ( on ( the carpet ) ) ) ( next ( to ( ( an O ) ( made ( of ( wooden blocks ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ little) (NNS girls)) (VP (VBP lie) (PP (IN on) (NP (DT the) (NN carpet))) (ADVP (JJ next) (PP (TO to) (NP (NP (DT an) (NN O)) (VP (VBN made) (PP (IN of) (NP (JJ wooden) (NNS blocks)))))))) (. .))),Two girls lay next to wooden blocks.,( ( Two girls ) ( ( ( lay next ) ( to ( wooden blocks ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS girls)) (VP (VBD lay) (ADVP (JJ next)) (PP (TO to) (NP (JJ wooden) (NNS blocks)))) (. .))) +1059,['entailment'],535179217.jpg#2,entailment,535179217.jpg#2r1e,People are fishing and walking next to the water.,( People ( ( are ( ( ( fishing and ) walking ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG fishing) (CC and) (VBG walking) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),People are fishing and walking next to the water.,( People ( ( are ( ( ( fishing and ) walking ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG fishing) (CC and) (VBG walking) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))) +1060,['contradiction'],535179217.jpg#2,contradiction,535179217.jpg#2r1c,People are fishing and walking next to the water.,( People ( ( are ( ( ( fishing and ) walking ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG fishing) (CC and) (VBG walking) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),People are swimming in the water.,( People ( ( are ( swimming ( in ( the water ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG swimming) (PP (IN in) (NP (DT the) (NN water))))) (. .))) +1061,['neutral'],535179217.jpg#2,neutral,535179217.jpg#2r1n,People are fishing and walking next to the water.,( People ( ( are ( ( ( fishing and ) walking ) ( next ( to ( the water ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG fishing) (CC and) (VBG walking) (ADVP (JJ next) (PP (TO to) (NP (DT the) (NN water)))))) (. .))),People are enjoying the summer weather fishing.,( People ( ( are ( enjoying ( the ( summer ( weather fishing ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG enjoying) (NP (DT the) (NN summer) (NN weather) (NN fishing)))) (. .))) +1062,['contradiction'],462663804.jpg#3,contradiction,462663804.jpg#3r1c,Two guys playing football on a campus green.,( ( ( Two guys ) ( ( playing football ) ( on ( a ( campus green ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS guys)) (VP (VBG playing) (NP (NN football)) (PP (IN on) (NP (DT a) (NN campus) (NN green)))) (. .))),They are eating fried fish on the boat,( They ( are ( ( eating ( fried fish ) ) ( on ( the boat ) ) ) ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (VBG eating) (NP (JJ fried) (NN fish)) (PP (IN on) (NP (DT the) (NN boat))))))) +1063,['neutral'],462663804.jpg#3,neutral,462663804.jpg#3r1n,Two guys playing football on a campus green.,( ( ( Two guys ) ( ( playing football ) ( on ( a ( campus green ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS guys)) (VP (VBG playing) (NP (NN football)) (PP (IN on) (NP (DT a) (NN campus) (NN green)))) (. .))),They are practicing before the big game tomorrow,( They ( are ( ( practicing ( before ( the ( big game ) ) ) ) tomorrow ) ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (VBG practicing) (PP (IN before) (NP (DT the) (JJ big) (NN game))) (NP (NN tomorrow)))))) +1064,['entailment'],462663804.jpg#3,entailment,462663804.jpg#3r1e,Two guys playing football on a campus green.,( ( ( Two guys ) ( ( playing football ) ( on ( a ( campus green ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS guys)) (VP (VBG playing) (NP (NN football)) (PP (IN on) (NP (DT a) (NN campus) (NN green)))) (. .))),There are some guys in this picture,( There ( are ( ( some guys ) ( in ( this picture ) ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (DT some) (NNS guys)) (PP (IN in) (NP (DT this) (NN picture))))))) +1065,['entailment'],901763909.jpg#0,entailment,901763909.jpg#0r1e,Asian school children sitting on each others shoulders.,( ( ( Asian ( school children ) ) ( sitting ( on ( each ( others shoulders ) ) ) ) ) . ),(ROOT (NP (NP (JJ Asian) (NN school) (NNS children)) (VP (VBG sitting) (PP (IN on) (NP (DT each) (NNS others) (NNS shoulders)))) (. .))),Schoolchildren together,( Schoolchildren together ),(ROOT (S (VP (VB Schoolchildren) (ADVP (RB together))))) +1066,['contradiction'],901763909.jpg#0,contradiction,901763909.jpg#0r1c,Asian school children sitting on each others shoulders.,( ( ( Asian ( school children ) ) ( sitting ( on ( each ( others shoulders ) ) ) ) ) . ),(ROOT (NP (NP (JJ Asian) (NN school) (NNS children)) (VP (VBG sitting) (PP (IN on) (NP (DT each) (NNS others) (NNS shoulders)))) (. .))),Asian factory workers sitting.,( ( ( Asian ( factory workers ) ) sitting ) . ),(ROOT (NP (NP (JJ Asian) (NN factory) (NNS workers)) (VP (VBG sitting)) (. .))) +1067,['neutral'],901763909.jpg#0,neutral,901763909.jpg#0r1n,Asian school children sitting on each others shoulders.,( ( ( Asian ( school children ) ) ( sitting ( on ( each ( others shoulders ) ) ) ) ) . ),(ROOT (NP (NP (JJ Asian) (NN school) (NNS children)) (VP (VBG sitting) (PP (IN on) (NP (DT each) (NNS others) (NNS shoulders)))) (. .))),Asian schoolchildren are friends,( ( Asian schoolchildren ) ( are friends ) ),(ROOT (S (NP (JJ Asian) (NNS schoolchildren)) (VP (VBP are) (NP (NNS friends))))) +1068,"['neutral', 'contradiction', 'contradiction', 'contradiction']",3490789179.jpg#1,contradiction,3490789179.jpg#1r1n,A man wearing a red sweater is sitting on a car bumper watching another person work.,( ( ( A man ) ( wearing ( a ( red sweater ) ) ) ) ( ( is ( ( sitting ( on ( a ( car bumper ) ) ) ) ( watching ( another ( person work ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ red) (NN sweater)))) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN car) (NN bumper))) (S (VP (VBG watching) (NP (DT another) (NN person) (NN work)))))) (. .))),vehicles are slow at speed breaker,( vehicles ( are ( slow ( at ( speed breaker ) ) ) ) ),(ROOT (S (NP (NNS vehicles)) (VP (VBP are) (ADJP (JJ slow) (PP (IN at) (NP (NN speed) (NN breaker))))))) +1069,['entailment'],3490789179.jpg#1,entailment,3490789179.jpg#1r1e,A man wearing a red sweater is sitting on a car bumper watching another person work.,( ( ( A man ) ( wearing ( a ( red sweater ) ) ) ) ( ( is ( ( sitting ( on ( a ( car bumper ) ) ) ) ( watching ( another ( person work ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ red) (NN sweater)))) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN car) (NN bumper))) (S (VP (VBG watching) (NP (DT another) (NN person) (NN work)))))) (. .))),there was a speed breaker on the road by which people are taking care,( there ( was ( ( a ( speed breaker ) ) ( on ( ( the road ) ( ( by which ) ( people ( are ( taking care ) ) ) ) ) ) ) ) ),(ROOT (S (NP (EX there)) (VP (VBD was) (NP (NP (DT a) (NN speed) (NN breaker)) (PP (IN on) (NP (NP (DT the) (NN road)) (SBAR (WHPP (IN by) (WHNP (WDT which))) (S (NP (NNS people)) (VP (VBP are) (VP (VBG taking) (NP (NN care)))))))))))) +1070,['contradiction'],3490789179.jpg#1,contradiction,3490789179.jpg#1r1c,A man wearing a red sweater is sitting on a car bumper watching another person work.,( ( ( A man ) ( wearing ( a ( red sweater ) ) ) ) ( ( is ( ( sitting ( on ( a ( car bumper ) ) ) ) ( watching ( another ( person work ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ red) (NN sweater)))) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN car) (NN bumper))) (S (VP (VBG watching) (NP (DT another) (NN person) (NN work)))))) (. .))),people make speed fast at speed breaker.,( people ( ( make ( ( speed fast ) ( at ( speed breaker ) ) ) ) . ) ),(ROOT (S (NP (NNS people)) (VP (VBP make) (VP (VB speed) (ADVP (RB fast)) (PP (IN at) (NP (NN speed) (NN breaker))))) (. .))) +1071,['contradiction'],4671126676.jpg#1,contradiction,4671126676.jpg#1r1c,A young woman frolicking on the lawn in front of the us capitol building.,( ( ( A ( young woman ) ) ( frolicking ( on ( ( the lawn ) ( in ( front ( of ( the ( ( us capitol ) building ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN woman)) (VP (VBG frolicking) (PP (IN on) (NP (NP (DT the) (NN lawn)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT the) (ADJP (NP (PRP us)) (JJ capitol)) (NN building)))))))) (. .))),A young woman having a picnic on the lawn in front of the capitol building.,( ( ( A ( young woman ) ) ( having ( ( a picnic ) ( on ( ( the lawn ) ( in ( front ( of ( the ( capitol building ) ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN woman)) (VP (VBG having) (NP (NP (DT a) (NN picnic)) (PP (IN on) (NP (NP (DT the) (NN lawn)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT the) (NNP capitol) (NN building))))))))) (. .))) +1072,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",4671126676.jpg#1,entailment,4671126676.jpg#1r1e,A young woman frolicking on the lawn in front of the us capitol building.,( ( ( A ( young woman ) ) ( frolicking ( on ( ( the lawn ) ( in ( front ( of ( the ( ( us capitol ) building ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN woman)) (VP (VBG frolicking) (PP (IN on) (NP (NP (DT the) (NN lawn)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT the) (ADJP (NP (PRP us)) (JJ capitol)) (NN building)))))))) (. .))),A young lady playing in front of the capitol building.,( ( ( A ( young lady ) ) ( playing ( in ( front ( of ( the ( capitol building ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN lady)) (VP (VBG playing) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT the) (NNP capitol) (NN building)))))) (. .))) +1073,['neutral'],4671126676.jpg#1,neutral,4671126676.jpg#1r1n,A young woman frolicking on the lawn in front of the us capitol building.,( ( ( A ( young woman ) ) ( frolicking ( on ( ( the lawn ) ( in ( front ( of ( the ( ( us capitol ) building ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN woman)) (VP (VBG frolicking) (PP (IN on) (NP (NP (DT the) (NN lawn)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT the) (ADJP (NP (PRP us)) (JJ capitol)) (NN building)))))))) (. .))),A young lady playing chase in front of the capitol building.,( ( ( A ( young lady ) ) ( ( playing chase ) ( in ( front ( of ( the ( capitol building ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ young) (NN lady)) (VP (VBG playing) (NP (NN chase)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT the) (NNP capitol) (NN building)))))) (. .))) +1074,['contradiction'],480607352.jpg#0,contradiction,480607352.jpg#0r1c,a man wearing a multicolored striped shirt playing the guitar on the street,( a ( man ( ( wearing ( a ( multicolored ( striped shirt ) ) ) ) ( ( playing ( the guitar ) ) ( on ( the street ) ) ) ) ) ),(ROOT (FRAG (NP (DT a) (NN man) (S (VP (VBG wearing) (NP (DT a) (JJ multicolored) (JJ striped) (NN shirt)) (S (VP (VBG playing) (NP (DT the) (NN guitar)) (PP (IN on) (NP (DT the) (NN street)))))))))),A man is hitting a child,( ( A man ) ( is ( hitting ( a child ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG hitting) (NP (DT a) (NN child)))))) +1075,['entailment'],480607352.jpg#0,entailment,480607352.jpg#0r1e,a man wearing a multicolored striped shirt playing the guitar on the street,( a ( man ( ( wearing ( a ( multicolored ( striped shirt ) ) ) ) ( ( playing ( the guitar ) ) ( on ( the street ) ) ) ) ) ),(ROOT (FRAG (NP (DT a) (NN man) (S (VP (VBG wearing) (NP (DT a) (JJ multicolored) (JJ striped) (NN shirt)) (S (VP (VBG playing) (NP (DT the) (NN guitar)) (PP (IN on) (NP (DT the) (NN street)))))))))),A man in a colorful shirt is playing an instrument.,( ( ( A man ) ( in ( a ( colorful shirt ) ) ) ) ( ( is ( playing ( an instrument ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ colorful) (NN shirt)))) (VP (VBZ is) (VP (VBG playing) (NP (DT an) (NN instrument)))) (. .))) +1076,['neutral'],480607352.jpg#0,neutral,480607352.jpg#0r1n,a man wearing a multicolored striped shirt playing the guitar on the street,( a ( man ( ( wearing ( a ( multicolored ( striped shirt ) ) ) ) ( ( playing ( the guitar ) ) ( on ( the street ) ) ) ) ) ),(ROOT (FRAG (NP (DT a) (NN man) (S (VP (VBG wearing) (NP (DT a) (JJ multicolored) (JJ striped) (NN shirt)) (S (VP (VBG playing) (NP (DT the) (NN guitar)) (PP (IN on) (NP (DT the) (NN street)))))))))),A man is performing for money,( ( A man ) ( is ( performing ( for money ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG performing) (PP (IN for) (NP (NN money))))))) +1077,['contradiction'],480607352.jpg#1,contradiction,480607352.jpg#1r1c,A man wearing a colorful and striped sweater plays music in the street.,( ( ( A man ) ( wearing ( a ( ( ( colorful and ) striped ) sweater ) ) ) ) ( ( plays ( music ( in ( the street ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ colorful) (CC and) (JJ striped)) (NN sweater)))) (VP (VBZ plays) (NP (NP (NN music)) (PP (IN in) (NP (DT the) (NN street))))) (. .))),Two goldfish are riding bikes in a giant pile of mashed potatoes.,( ( Two goldfish ) ( ( are ( ( riding bikes ) ( in ( ( a ( giant pile ) ) ( of ( mashed potatoes ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NN goldfish)) (VP (VBP are) (VP (VBG riding) (NP (NNS bikes)) (PP (IN in) (NP (NP (DT a) (JJ giant) (NN pile)) (PP (IN of) (NP (VBN mashed) (NNS potatoes))))))) (. .))) +1078,['entailment'],480607352.jpg#1,entailment,480607352.jpg#1r1e,A man wearing a colorful and striped sweater plays music in the street.,( ( ( A man ) ( wearing ( a ( ( ( colorful and ) striped ) sweater ) ) ) ) ( ( plays ( music ( in ( the street ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ colorful) (CC and) (JJ striped)) (NN sweater)))) (VP (VBZ plays) (NP (NP (NN music)) (PP (IN in) (NP (DT the) (NN street))))) (. .))),The man is playing music on an instrument.,( ( The man ) ( ( is ( ( playing music ) ( on ( an instrument ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG playing) (NP (NN music)) (PP (IN on) (NP (DT an) (NN instrument))))) (. .))) +1079,['neutral'],480607352.jpg#1,neutral,480607352.jpg#1r1n,A man wearing a colorful and striped sweater plays music in the street.,( ( ( A man ) ( wearing ( a ( ( ( colorful and ) striped ) sweater ) ) ) ) ( ( plays ( music ( in ( the street ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ colorful) (CC and) (JJ striped)) (NN sweater)))) (VP (VBZ plays) (NP (NP (NN music)) (PP (IN in) (NP (DT the) (NN street))))) (. .))),"The man likes to receive attention for his music, which sounds terrible.","( ( The man ) ( ( likes ( to ( ( receive attention ) ( for ( ( ( his music ) , ) ( which ( sounds terrible ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT The) (NN man)) (VP (VBZ likes) (S (VP (TO to) (VP (VB receive) (NP (NN attention)) (PP (IN for) (NP (NP (PRP$ his) (NN music)) (, ,) (SBAR (WHNP (WDT which)) (S (VP (VBZ sounds) (ADJP (JJ terrible))))))))))) (. .)))" +1080,['entailment'],480607352.jpg#2,entailment,480607352.jpg#2r1e,A man wearing a multi-color coat is playing the guitar on the street.,( ( ( A man ) ( wearing ( a ( multi-color coat ) ) ) ) ( ( is ( playing ( ( the guitar ) ( on ( the street ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ multi-color) (NN coat)))) (VP (VBZ is) (VP (VBG playing) (NP (NP (DT the) (NN guitar)) (PP (IN on) (NP (DT the) (NN street)))))) (. .))),The man plays guitar,( ( The man ) ( plays guitar ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ plays) (NP (NN guitar))))) +1081,['contradiction'],480607352.jpg#2,contradiction,480607352.jpg#2r1c,A man wearing a multi-color coat is playing the guitar on the street.,( ( ( A man ) ( wearing ( a ( multi-color coat ) ) ) ) ( ( is ( playing ( ( the guitar ) ( on ( the street ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ multi-color) (NN coat)))) (VP (VBZ is) (VP (VBG playing) (NP (NP (DT the) (NN guitar)) (PP (IN on) (NP (DT the) (NN street)))))) (. .))),the woman is getting her nails done,( ( the woman ) ( is ( getting ( ( her nails ) done ) ) ) ),(ROOT (S (NP (DT the) (NN woman)) (VP (VBZ is) (VP (VBG getting) (NP (NP (PRP$ her) (NNS nails)) (VP (VBN done))))))) +1082,['neutral'],480607352.jpg#2,neutral,480607352.jpg#2r1n,A man wearing a multi-color coat is playing the guitar on the street.,( ( ( A man ) ( wearing ( a ( multi-color coat ) ) ) ) ( ( is ( playing ( ( the guitar ) ( on ( the street ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ multi-color) (NN coat)))) (VP (VBZ is) (VP (VBG playing) (NP (NP (DT the) (NN guitar)) (PP (IN on) (NP (DT the) (NN street)))))) (. .))),the man is trying to raise money for drugs,( ( the man ) ( is ( trying ( to ( ( raise money ) ( for drugs ) ) ) ) ) ),(ROOT (S (NP (DT the) (NN man)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB raise) (NP (NN money)) (PP (IN for) (NP (NNS drugs)))))))))) +1083,['neutral'],480607352.jpg#3,neutral,480607352.jpg#3r1n,Street performer in colorful shirt performing with small guitar.,( ( ( ( Street performer ) ( in ( colorful shirt ) ) ) ( performing ( with ( small guitar ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Street) (NN performer)) (PP (IN in) (NP (JJ colorful) (NN shirt)))) (VP (VBG performing) (PP (IN with) (NP (JJ small) (NN guitar)))) (. .))),The street performer is singing a song.,( ( The ( street performer ) ) ( ( is ( singing ( a song ) ) ) . ) ),(ROOT (S (NP (DT The) (NN street) (NN performer)) (VP (VBZ is) (VP (VBG singing) (NP (DT a) (NN song)))) (. .))) +1084,['contradiction'],480607352.jpg#3,contradiction,480607352.jpg#3r1c,Street performer in colorful shirt performing with small guitar.,( ( ( ( Street performer ) ( in ( colorful shirt ) ) ) ( performing ( with ( small guitar ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Street) (NN performer)) (PP (IN in) (NP (JJ colorful) (NN shirt)))) (VP (VBG performing) (PP (IN with) (NP (JJ small) (NN guitar)))) (. .))),The street performer is sleeping on a park bench.,( ( The ( street performer ) ) ( ( is ( sleeping ( on ( a ( park bench ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN street) (NN performer)) (VP (VBZ is) (VP (VBG sleeping) (PP (IN on) (NP (DT a) (NN park) (NN bench))))) (. .))) +1085,['entailment'],480607352.jpg#3,entailment,480607352.jpg#3r1e,Street performer in colorful shirt performing with small guitar.,( ( ( ( Street performer ) ( in ( colorful shirt ) ) ) ( performing ( with ( small guitar ) ) ) ) . ),(ROOT (NP (NP (NP (NNP Street) (NN performer)) (PP (IN in) (NP (JJ colorful) (NN shirt)))) (VP (VBG performing) (PP (IN with) (NP (JJ small) (NN guitar)))) (. .))),A street performer is trying to earn extra money.,( ( A ( street performer ) ) ( ( is ( trying ( to ( earn ( extra money ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN street) (NN performer)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB earn) (NP (JJ extra) (NN money))))))) (. .))) +1086,['entailment'],3020218156.jpg#3,entailment,3020218156.jpg#3r1e,Two men are painting a building while a third is walking past on his cellphone.,( ( Two men ) ( ( are ( ( painting ( a building ) ) ( while ( ( a third ) ( is ( ( walking past ) ( on ( his cellphone ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG painting) (NP (DT a) (NN building)) (SBAR (IN while) (S (NP (DT a) (JJ third)) (VP (VBZ is) (VP (VBG walking) (IN past) (PP (IN on) (NP (PRP$ his) (NN cellphone))))))))) (. .))),A building is being painted.,( ( A building ) ( ( is ( being painted ) ) . ) ),(ROOT (S (NP (DT A) (NN building)) (VP (VBZ is) (VP (VBG being) (VP (VBN painted)))) (. .))) +1087,['contradiction'],3020218156.jpg#3,contradiction,3020218156.jpg#3r1c,Two men are painting a building while a third is walking past on his cellphone.,( ( Two men ) ( ( are ( ( painting ( a building ) ) ( while ( ( a third ) ( is ( ( walking past ) ( on ( his cellphone ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG painting) (NP (DT a) (NN building)) (SBAR (IN while) (S (NP (DT a) (JJ third)) (VP (VBZ is) (VP (VBG walking) (IN past) (PP (IN on) (NP (PRP$ his) (NN cellphone))))))))) (. .))),No one ever comes to this unpainted and dilapidated building.,( ( No one ) ( ever ( ( comes ( to ( this ( unpainted ( and ( dilapidated building ) ) ) ) ) ) . ) ) ),(ROOT (S (NP (DT No) (NN one)) (ADVP (RB ever)) (VP (VBZ comes) (PP (TO to) (NP (DT this) (JJ unpainted) (CC and) (JJ dilapidated) (NN building)))) (. .))) +1088,['neutral'],3020218156.jpg#3,neutral,3020218156.jpg#3r1n,Two men are painting a building while a third is walking past on his cellphone.,( ( Two men ) ( ( are ( ( painting ( a building ) ) ( while ( ( a third ) ( is ( ( walking past ) ( on ( his cellphone ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG painting) (NP (DT a) (NN building)) (SBAR (IN while) (S (NP (DT a) (JJ third)) (VP (VBZ is) (VP (VBG walking) (IN past) (PP (IN on) (NP (PRP$ his) (NN cellphone))))))))) (. .))),A supervisor calls in his report on the painting crew.,( ( A supervisor ) ( ( ( calls ( in ( his report ) ) ) ( on ( the ( painting crew ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN supervisor)) (VP (VBZ calls) (PP (IN in) (NP (PRP$ his) (NN report))) (PP (IN on) (NP (DT the) (NN painting) (NN crew)))) (. .))) +1089,['neutral'],3020218156.jpg#0,neutral,3020218156.jpg#0r1n,Two men are on scaffolding as they paint above a storefront while a man on the sidewalk stands next to them talking on the phone.,( ( Two men ) ( ( ( are ( on scaffolding ) ) ( as ( they ( ( paint ( above ( a storefront ) ) ) ( while ( ( ( a man ) ( on ( the sidewalk ) ) ) ( stands ( next ( to ( them ( talking ( on ( the phone ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (PP (IN on) (NP (NN scaffolding))) (SBAR (IN as) (S (NP (PRP they)) (VP (VBP paint) (PP (IN above) (NP (DT a) (NN storefront))) (SBAR (IN while) (S (NP (NP (DT a) (NN man)) (PP (IN on) (NP (DT the) (NN sidewalk)))) (VP (VBZ stands) (ADJP (JJ next) (PP (TO to) (S (NP (PRP them)) (VP (VBG talking) (PP (IN on) (NP (DT the) (NN phone)))))))))))))) (. .))),Two men are painting their new store.,( ( Two men ) ( ( are ( painting ( their ( new store ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG painting) (NP (PRP$ their) (JJ new) (NN store)))) (. .))) +1090,['entailment'],3020218156.jpg#0,entailment,3020218156.jpg#0r1e,Two men are on scaffolding as they paint above a storefront while a man on the sidewalk stands next to them talking on the phone.,( ( Two men ) ( ( ( are ( on scaffolding ) ) ( as ( they ( ( paint ( above ( a storefront ) ) ) ( while ( ( ( a man ) ( on ( the sidewalk ) ) ) ( stands ( next ( to ( them ( talking ( on ( the phone ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (PP (IN on) (NP (NN scaffolding))) (SBAR (IN as) (S (NP (PRP they)) (VP (VBP paint) (PP (IN above) (NP (DT a) (NN storefront))) (SBAR (IN while) (S (NP (NP (DT a) (NN man)) (PP (IN on) (NP (DT the) (NN sidewalk)))) (VP (VBZ stands) (ADJP (JJ next) (PP (TO to) (S (NP (PRP them)) (VP (VBG talking) (PP (IN on) (NP (DT the) (NN phone)))))))))))))) (. .))),Three men are outside.,( ( Three men ) ( ( are outside ) . ) ),(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (ADJP (JJ outside))) (. .))) +1091,['contradiction'],3020218156.jpg#0,contradiction,3020218156.jpg#0r1c,Two men are on scaffolding as they paint above a storefront while a man on the sidewalk stands next to them talking on the phone.,( ( Two men ) ( ( ( are ( on scaffolding ) ) ( as ( they ( ( paint ( above ( a storefront ) ) ) ( while ( ( ( a man ) ( on ( the sidewalk ) ) ) ( stands ( next ( to ( them ( talking ( on ( the phone ) ) ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (PP (IN on) (NP (NN scaffolding))) (SBAR (IN as) (S (NP (PRP they)) (VP (VBP paint) (PP (IN above) (NP (DT a) (NN storefront))) (SBAR (IN while) (S (NP (NP (DT a) (NN man)) (PP (IN on) (NP (DT the) (NN sidewalk)))) (VP (VBZ stands) (ADJP (JJ next) (PP (TO to) (S (NP (PRP them)) (VP (VBG talking) (PP (IN on) (NP (DT the) (NN phone)))))))))))))) (. .))),No one is on a phone.,( ( No one ) ( ( is ( on ( a phone ) ) ) . ) ),(ROOT (S (NP (DT No) (NN one)) (VP (VBZ is) (PP (IN on) (NP (DT a) (NN phone)))) (. .))) +1092,['neutral'],4274395288.jpg#3,neutral,4274395288.jpg#3r1n,A blue excavator digging a large hold in cement.,( ( ( A ( blue excavator ) ) ( digging ( ( a ( large hold ) ) ( in cement ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ blue) (NN excavator)) (VP (VBG digging) (NP (NP (DT a) (JJ large) (NN hold)) (PP (IN in) (NP (NN cement))))) (. .))),the boy was listening,( ( the boy ) ( was listening ) ),(ROOT (S (NP (DT the) (NN boy)) (VP (VBD was) (VP (VBG listening))))) +1093,['entailment'],4274395288.jpg#3,entailment,4274395288.jpg#3r1e,A blue excavator digging a large hold in cement.,( ( ( A ( blue excavator ) ) ( digging ( ( a ( large hold ) ) ( in cement ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ blue) (NN excavator)) (VP (VBG digging) (NP (NP (DT a) (JJ large) (NN hold)) (PP (IN in) (NP (NN cement))))) (. .))),a child was there,( ( a child ) ( was there ) ),(ROOT (S (NP (DT a) (NN child)) (VP (VBD was) (ADVP (RB there))))) +1094,['contradiction'],4274395288.jpg#3,contradiction,4274395288.jpg#3r1c,A blue excavator digging a large hold in cement.,( ( ( A ( blue excavator ) ) ( digging ( ( a ( large hold ) ) ( in cement ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ blue) (NN excavator)) (VP (VBG digging) (NP (NP (DT a) (JJ large) (NN hold)) (PP (IN in) (NP (NN cement))))) (. .))),not watched at alll,( not ( watched ( at alll ) ) ),(ROOT (ADJP (RB not) (VBN watched) (PP (IN at) (NP (NN alll))))) +1095,['entailment'],3666179842.jpg#0,entailment,3666179842.jpg#0r1e,A man with khaki shorts on is holding a little girls hand while she walks in the water of a creek.,( ( ( A man ) ( with ( khaki shorts ) ) ) ( on ( ( is ( ( holding ( a ( little ( girls hand ) ) ) ) ( while ( she ( walks ( in ( ( the water ) ( of ( a creek ) ) ) ) ) ) ) ) ) . ) ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (NN khaki) (NNS shorts)))) (ADVP (RB on)) (VP (VBZ is) (VP (VBG holding) (NP (DT a) (JJ little) (NNS girls) (NN hand)) (SBAR (IN while) (S (NP (PRP she)) (VP (VBZ walks) (PP (IN in) (NP (NP (DT the) (NN water)) (PP (IN of) (NP (DT a) (NN creek)))))))))) (. .))),A man is holding a girls hand and walking through a creek.,( ( A man ) ( ( is ( ( ( holding ( a ( girls hand ) ) ) and ) ( walking ( through ( a creek ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VP (VBG holding) (NP (DT a) (NNS girls) (NN hand))) (CC and) (VP (VBG walking) (PP (IN through) (NP (DT a) (NN creek)))))) (. .))) +1096,['contradiction'],3666179842.jpg#0,contradiction,3666179842.jpg#0r1c,A man with khaki shorts on is holding a little girls hand while she walks in the water of a creek.,( ( ( A man ) ( with ( khaki shorts ) ) ) ( on ( ( is ( ( holding ( a ( little ( girls hand ) ) ) ) ( while ( she ( walks ( in ( ( the water ) ( of ( a creek ) ) ) ) ) ) ) ) ) . ) ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (NN khaki) (NNS shorts)))) (ADVP (RB on)) (VP (VBZ is) (VP (VBG holding) (NP (DT a) (JJ little) (NNS girls) (NN hand)) (SBAR (IN while) (S (NP (PRP she)) (VP (VBZ walks) (PP (IN in) (NP (NP (DT the) (NN water)) (PP (IN of) (NP (DT a) (NN creek)))))))))) (. .))),A man with jean shorts on is holding a little girls hand while she flies a kite.,( ( ( A man ) ( with ( jean shorts ) ) ) ( on ( ( is ( ( holding ( a ( little ( girls hand ) ) ) ) ( while ( she ( flies ( a kite ) ) ) ) ) ) . ) ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (NN jean) (NNS shorts)))) (ADVP (RB on)) (VP (VBZ is) (VP (VBG holding) (NP (DT a) (JJ little) (NNS girls) (NN hand)) (SBAR (IN while) (S (NP (PRP she)) (VP (VBZ flies) (NP (DT a) (NN kite))))))) (. .))) +1097,['neutral'],3666179842.jpg#0,neutral,3666179842.jpg#0r1n,A man with khaki shorts on is holding a little girls hand while she walks in the water of a creek.,( ( ( A man ) ( with ( khaki shorts ) ) ) ( on ( ( is ( ( holding ( a ( little ( girls hand ) ) ) ) ( while ( she ( walks ( in ( ( the water ) ( of ( a creek ) ) ) ) ) ) ) ) ) . ) ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (NN khaki) (NNS shorts)))) (ADVP (RB on)) (VP (VBZ is) (VP (VBG holding) (NP (DT a) (JJ little) (NNS girls) (NN hand)) (SBAR (IN while) (S (NP (PRP she)) (VP (VBZ walks) (PP (IN in) (NP (NP (DT the) (NN water)) (PP (IN of) (NP (DT a) (NN creek)))))))))) (. .))),A man with shorts on is helping a little girl find her way home.,( ( ( A man ) ( with shorts ) ) ( on ( ( is ( helping ( ( a ( little girl ) ) ( find ( her ( way home ) ) ) ) ) ) . ) ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (NNS shorts)))) (ADVP (RB on)) (VP (VBZ is) (VP (VBG helping) (S (NP (DT a) (JJ little) (NN girl)) (VP (VB find) (NP (PRP$ her) (NN way) (NN home)))))) (. .))) +1098,['contradiction'],1468182643.jpg#2,contradiction,1468182643.jpg#2r1c,Two women are walking down a dirt path carrying loads on their heads.,( ( Two women ) ( ( are ( ( ( walking down ) ( a ( dirt path ) ) ) ( ( carrying loads ) ( on ( their heads ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS women)) (VP (VBP are) (VP (VBG walking) (PRT (RP down)) (NP (DT a) (NN dirt) (NN path)) (S (VP (VBG carrying) (NP (NNS loads)) (PP (IN on) (NP (PRP$ their) (NNS heads))))))) (. .))),Two horses running in a field.,( ( ( Two horses ) ( running ( in ( a field ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS horses)) (VP (VBG running) (PP (IN in) (NP (DT a) (NN field)))) (. .))) +1099,['entailment'],1468182643.jpg#2,entailment,1468182643.jpg#2r1e,Two women are walking down a dirt path carrying loads on their heads.,( ( Two women ) ( ( are ( ( ( walking down ) ( a ( dirt path ) ) ) ( ( carrying loads ) ( on ( their heads ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS women)) (VP (VBP are) (VP (VBG walking) (PRT (RP down)) (NP (DT a) (NN dirt) (NN path)) (S (VP (VBG carrying) (NP (NNS loads)) (PP (IN on) (NP (PRP$ their) (NNS heads))))))) (. .))),Two people are walking down a path.,( ( Two people ) ( ( are ( ( walking down ) ( a path ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (VP (VBG walking) (PRT (RP down)) (NP (DT a) (NN path)))) (. .))) +1100,['neutral'],1468182643.jpg#2,neutral,1468182643.jpg#2r1n,Two women are walking down a dirt path carrying loads on their heads.,( ( Two women ) ( ( are ( ( ( walking down ) ( a ( dirt path ) ) ) ( ( carrying loads ) ( on ( their heads ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS women)) (VP (VBP are) (VP (VBG walking) (PRT (RP down)) (NP (DT a) (NN dirt) (NN path)) (S (VP (VBG carrying) (NP (NNS loads)) (PP (IN on) (NP (PRP$ their) (NNS heads))))))) (. .))),Two beautiful women wearing white are walking down a dirt path carrying loads of nuts on their heads.,( ( ( Two ( beautiful women ) ) ( wearing white ) ) ( ( are ( ( walking down ) ( ( a ( dirt path ) ) ( carrying ( loads ( of ( nuts ( on ( their heads ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (JJ beautiful) (NNS women)) (VP (VBG wearing) (ADJP (JJ white)))) (VP (VBP are) (VP (VBG walking) (PRT (RP down)) (NP (NP (DT a) (NN dirt) (NN path)) (VP (VBG carrying) (NP (NP (NNS loads)) (PP (IN of) (NP (NP (NNS nuts)) (PP (IN on) (NP (PRP$ their) (NNS heads)))))))))) (. .))) +1101,['entailment'],4756089619.jpg#4,entailment,4756089619.jpg#4r1e,A street vendor in Asia tries to bring in more customers.,( ( ( A ( street vendor ) ) ( in Asia ) ) ( ( tries ( to ( bring ( in ( more customers ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN street) (NN vendor)) (PP (IN in) (NP (NNP Asia)))) (VP (VBZ tries) (S (VP (TO to) (VP (VB bring) (PP (IN in) (NP (JJR more) (NNS customers))))))) (. .))),A vendor trying to attract costumers.,( ( ( A vendor ) ( trying ( to ( attract costumers ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN vendor)) (VP (VBG trying) (S (VP (TO to) (VP (VB attract) (NP (NNS costumers)))))) (. .))) +1102,['neutral'],4756089619.jpg#4,neutral,4756089619.jpg#4r1n,A street vendor in Asia tries to bring in more customers.,( ( ( A ( street vendor ) ) ( in Asia ) ) ( ( tries ( to ( bring ( in ( more customers ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN street) (NN vendor)) (PP (IN in) (NP (NNP Asia)))) (VP (VBZ tries) (S (VP (TO to) (VP (VB bring) (PP (IN in) (NP (JJR more) (NNS customers))))))) (. .))),A salesman selling items to patrons.,( ( ( A salesman ) ( ( selling items ) ( to patrons ) ) ) . ),(ROOT (NP (NP (DT A) (NN salesman)) (VP (VBG selling) (NP (NNS items)) (PP (TO to) (NP (NNS patrons)))) (. .))) +1103,['contradiction'],4756089619.jpg#4,contradiction,4756089619.jpg#4r1c,A street vendor in Asia tries to bring in more customers.,( ( ( A ( street vendor ) ) ( in Asia ) ) ( ( tries ( to ( bring ( in ( more customers ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN street) (NN vendor)) (PP (IN in) (NP (NNP Asia)))) (VP (VBZ tries) (S (VP (TO to) (VP (VB bring) (PP (IN in) (NP (JJR more) (NNS customers))))))) (. .))),A man closing his shop for the day.,( ( ( A man ) ( ( closing ( his shop ) ) ( for ( the day ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG closing) (NP (PRP$ his) (NN shop)) (PP (IN for) (NP (DT the) (NN day)))) (. .))) +1104,['contradiction'],4401319908.jpg#4,contradiction,4401319908.jpg#4r1c,Young woman in a cafe checking her cellphone.,( Young ( ( woman ( in ( ( a cafe ) ( checking ( her cellphone ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young)) (VP (NN woman) (PP (IN in) (NP (NP (DT a) (NN cafe)) (VP (VBG checking) (NP (PRP$ her) (NN cellphone)))))) (. .))),The woman is knitting.,( ( The woman ) ( ( is knitting ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG knitting))) (. .))) +1105,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",4401319908.jpg#4,neutral,4401319908.jpg#4r1n,Young woman in a cafe checking her cellphone.,( Young ( ( woman ( in ( ( a cafe ) ( checking ( her cellphone ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young)) (VP (NN woman) (PP (IN in) (NP (NP (DT a) (NN cafe)) (VP (VBG checking) (NP (PRP$ her) (NN cellphone)))))) (. .))),The girl is texting.,( ( The girl ) ( ( is texting ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (VP (VBG texting))) (. .))) +1106,['entailment'],4401319908.jpg#4,entailment,4401319908.jpg#4r1e,Young woman in a cafe checking her cellphone.,( Young ( ( woman ( in ( ( a cafe ) ( checking ( her cellphone ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young)) (VP (NN woman) (PP (IN in) (NP (NP (DT a) (NN cafe)) (VP (VBG checking) (NP (PRP$ her) (NN cellphone)))))) (. .))),A woman is inside.,( ( A woman ) ( ( is inside ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (ADVP (RB inside))) (. .))) +1107,['neutral'],3036382555.jpg#2,neutral,3036382555.jpg#2r1n,A woman and a girl are playing in a field of leaves,( ( ( ( A woman ) and ) ( a girl ) ) ( are ( playing ( in ( ( a field ) ( of leaves ) ) ) ) ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (CC and) (NP (DT a) (NN girl))) (VP (VBP are) (VP (VBG playing) (PP (IN in) (NP (NP (DT a) (NN field)) (PP (IN of) (NP (NNS leaves))))))))),A mother and daughter are playing in a field.,( ( A ( ( mother and ) daughter ) ) ( ( are ( playing ( in ( a field ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN mother) (CC and) (NN daughter)) (VP (VBP are) (VP (VBG playing) (PP (IN in) (NP (DT a) (NN field))))) (. .))) +1108,['entailment'],3036382555.jpg#2,entailment,3036382555.jpg#2r1e,A woman and a girl are playing in a field of leaves,( ( ( ( A woman ) and ) ( a girl ) ) ( are ( playing ( in ( ( a field ) ( of leaves ) ) ) ) ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (CC and) (NP (DT a) (NN girl))) (VP (VBP are) (VP (VBG playing) (PP (IN in) (NP (NP (DT a) (NN field)) (PP (IN of) (NP (NNS leaves))))))))),Two people are outside.,( ( Two people ) ( ( are outside ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (ADJP (JJ outside))) (. .))) +1109,['contradiction'],3036382555.jpg#2,contradiction,3036382555.jpg#2r1c,A woman and a girl are playing in a field of leaves,( ( ( ( A woman ) and ) ( a girl ) ) ( are ( playing ( in ( ( a field ) ( of leaves ) ) ) ) ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (CC and) (NP (DT a) (NN girl))) (VP (VBP are) (VP (VBG playing) (PP (IN in) (NP (NP (DT a) (NN field)) (PP (IN of) (NP (NNS leaves))))))))),A man is playing in a field.,( ( A man ) ( ( is ( playing ( in ( a field ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG playing) (PP (IN in) (NP (DT a) (NN field))))) (. .))) +1110,['entailment'],3036382555.jpg#3,entailment,3036382555.jpg#3r1e,two small girls walk along the leaves.,( ( two ( small girls ) ) ( ( walk ( along ( the leaves ) ) ) . ) ),(ROOT (S (NP (CD two) (JJ small) (NNS girls)) (VP (VBP walk) (PP (IN along) (NP (DT the) (NNS leaves)))) (. .))),The two girls are outside.,( ( The ( two girls ) ) ( ( are outside ) . ) ),(ROOT (S (NP (DT The) (CD two) (NNS girls)) (VP (VBP are) (ADJP (JJ outside))) (. .))) +1111,['neutral'],3036382555.jpg#3,neutral,3036382555.jpg#3r1n,two small girls walk along the leaves.,( ( two ( small girls ) ) ( ( walk ( along ( the leaves ) ) ) . ) ),(ROOT (S (NP (CD two) (JJ small) (NNS girls)) (VP (VBP walk) (PP (IN along) (NP (DT the) (NNS leaves)))) (. .))),The girls are walking to the park.,( ( The girls ) ( ( are ( walking ( to ( the park ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS girls)) (VP (VBP are) (VP (VBG walking) (PP (TO to) (NP (DT the) (NN park))))) (. .))) +1112,['contradiction'],3036382555.jpg#3,contradiction,3036382555.jpg#3r1c,two small girls walk along the leaves.,( ( two ( small girls ) ) ( ( walk ( along ( the leaves ) ) ) . ) ),(ROOT (S (NP (CD two) (JJ small) (NNS girls)) (VP (VBP walk) (PP (IN along) (NP (DT the) (NNS leaves)))) (. .))),The two girls are riding their bikes.,( ( The ( two girls ) ) ( ( are ( riding ( their bikes ) ) ) . ) ),(ROOT (S (NP (DT The) (CD two) (NNS girls)) (VP (VBP are) (VP (VBG riding) (NP (PRP$ their) (NNS bikes)))) (. .))) +1113,['entailment'],4401319908.jpg#1,entailment,4401319908.jpg#1r1e,"A girl wearing a blue shirt, shorts, and sneakers is seated on a stool at a round table, looking at her phone.","( ( ( A girl ) ( wearing ( ( ( ( ( ( a ( blue shirt ) ) , ) shorts ) , ) and ) sneakers ) ) ) ( ( is ( ( ( ( seated ( on ( a stool ) ) ) ( at ( a ( round table ) ) ) ) , ) ( looking ( at ( her phone ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN girl)) (VP (VBG wearing) (NP (NP (DT a) (JJ blue) (NN shirt)) (, ,) (NP (NNS shorts)) (, ,) (CC and) (NP (NNS sneakers))))) (VP (VBZ is) (VP (VBN seated) (PP (IN on) (NP (DT a) (NN stool))) (PP (IN at) (NP (DT a) (JJ round) (NN table))) (, ,) (S (VP (VBG looking) (PP (IN at) (NP (PRP$ her) (NN phone))))))) (. .)))",The girl is sitting.,( ( The girl ) ( ( is sitting ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (VP (VBG sitting))) (. .))) +1114,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",4401319908.jpg#1,neutral,4401319908.jpg#1r1n,"A girl wearing a blue shirt, shorts, and sneakers is seated on a stool at a round table, looking at her phone.","( ( ( A girl ) ( wearing ( ( ( ( ( ( a ( blue shirt ) ) , ) shorts ) , ) and ) sneakers ) ) ) ( ( is ( ( ( ( seated ( on ( a stool ) ) ) ( at ( a ( round table ) ) ) ) , ) ( looking ( at ( her phone ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN girl)) (VP (VBG wearing) (NP (NP (DT a) (JJ blue) (NN shirt)) (, ,) (NP (NNS shorts)) (, ,) (CC and) (NP (NNS sneakers))))) (VP (VBZ is) (VP (VBN seated) (PP (IN on) (NP (DT a) (NN stool))) (PP (IN at) (NP (DT a) (JJ round) (NN table))) (, ,) (S (VP (VBG looking) (PP (IN at) (NP (PRP$ her) (NN phone))))))) (. .)))",The girl is reading a text message.,( ( The girl ) ( ( is ( reading ( a ( text message ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (VP (VBG reading) (NP (DT a) (NN text) (NN message)))) (. .))) +1115,['contradiction'],4401319908.jpg#1,contradiction,4401319908.jpg#1r1c,"A girl wearing a blue shirt, shorts, and sneakers is seated on a stool at a round table, looking at her phone.","( ( ( A girl ) ( wearing ( ( ( ( ( ( a ( blue shirt ) ) , ) shorts ) , ) and ) sneakers ) ) ) ( ( is ( ( ( ( seated ( on ( a stool ) ) ) ( at ( a ( round table ) ) ) ) , ) ( looking ( at ( her phone ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN girl)) (VP (VBG wearing) (NP (NP (DT a) (JJ blue) (NN shirt)) (, ,) (NP (NNS shorts)) (, ,) (CC and) (NP (NNS sneakers))))) (VP (VBZ is) (VP (VBN seated) (PP (IN on) (NP (DT a) (NN stool))) (PP (IN at) (NP (DT a) (JJ round) (NN table))) (, ,) (S (VP (VBG looking) (PP (IN at) (NP (PRP$ her) (NN phone))))))) (. .)))",The girl is wearing a green shirt.,( ( The girl ) ( ( is ( wearing ( a ( green shirt ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ green) (NN shirt)))) (. .))) +1116,['contradiction'],4401319908.jpg#0,contradiction,4401319908.jpg#0r2c,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A lady is using a cat to take pictures.,( ( A lady ) ( ( is ( using ( a ( cat ( to ( take pictures ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ is) (VP (VBG using) (NP (DT a) (NN cat) (S (VP (TO to) (VP (VB take) (NP (NNS pictures)))))))) (. .))) +1117,['contradiction'],4401319908.jpg#0,contradiction,4401319908.jpg#0r5c,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A young lady is riding her bike down a bike trail.,( ( A ( young lady ) ) ( ( is ( ( riding ( her bike ) ) ( down ( a ( bike trail ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN lady)) (VP (VBZ is) (VP (VBG riding) (NP (PRP$ her) (NN bike)) (PP (IN down) (NP (DT a) (NN bike) (NN trail))))) (. .))) +1118,['neutral'],4401319908.jpg#0,neutral,4401319908.jpg#0r1n,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A young lady is embarrassed at the pictures she took.,( ( A ( young lady ) ) ( ( is ( embarrassed ( at ( ( the pictures ) ( she took ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN lady)) (VP (VBZ is) (ADJP (VBN embarrassed) (PP (IN at) (NP (NP (DT the) (NNS pictures)) (SBAR (S (NP (PRP she)) (VP (VBD took)))))))) (. .))) +1119,['entailment'],4401319908.jpg#0,entailment,4401319908.jpg#0r5e,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A young lady is looking at a picture.,( ( A ( young lady ) ) ( ( is ( looking ( at ( a picture ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN lady)) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (DT a) (NN picture))))) (. .))) +1120,['entailment'],4401319908.jpg#0,entailment,4401319908.jpg#0r4e,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A lady looks at a picture on her camera,( ( A lady ) ( looks ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ looks) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera)))))))) +1121,['neutral'],4401319908.jpg#0,neutral,4401319908.jpg#0r5n,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A young lady is looking at a picture of her dog on camera.,( ( A ( young lady ) ) ( ( is ( ( looking ( at ( ( a picture ) ( of ( her dog ) ) ) ) ) ( on camera ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN lady)) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (PRP$ her) (NN dog))))) (PP (IN on) (NP (NN camera))))) (. .))) +1122,['contradiction'],4401319908.jpg#0,contradiction,4401319908.jpg#0r4c,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A lady looks at her phone.,( ( A lady ) ( ( looks ( at ( her phone ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ looks) (PP (IN at) (NP (PRP$ her) (NN phone)))) (. .))) +1123,['entailment'],4401319908.jpg#0,entailment,4401319908.jpg#0r3e,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),Lady sits gazing at a camera.,( Lady ( ( sits ( gazing ( at ( a camera ) ) ) ) . ) ),(ROOT (S (NP (NNP Lady)) (VP (VBZ sits) (S (VP (VBG gazing) (PP (IN at) (NP (DT a) (NN camera)))))) (. .))) +1124,['contradiction'],4401319908.jpg#0,contradiction,4401319908.jpg#0r3c,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),Young lady sits in a private area.,( ( Young lady ) ( ( sits ( in ( a ( private area ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBZ sits) (PP (IN in) (NP (DT a) (JJ private) (NN area)))) (. .))) +1125,['entailment'],4401319908.jpg#0,entailment,4401319908.jpg#0r1e,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A young lady is looking at her camera.,( ( A ( young lady ) ) ( ( is ( looking ( at ( her camera ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN lady)) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (PRP$ her) (NN camera))))) (. .))) +1126,['neutral'],4401319908.jpg#0,neutral,4401319908.jpg#0r2n,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A lady is taking pictures of the table.,( ( A lady ) ( ( is ( taking ( pictures ( of ( the table ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ is) (VP (VBG taking) (NP (NP (NNS pictures)) (PP (IN of) (NP (DT the) (NN table)))))) (. .))) +1127,['contradiction'],4401319908.jpg#0,contradiction,4401319908.jpg#0r1c,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A young lady is on her cellphone.,( ( A ( young lady ) ) ( ( is ( on ( her cellphone ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN lady)) (VP (VBZ is) (PP (IN on) (NP (PRP$ her) (NN cellphone)))) (. .))) +1128,['neutral'],4401319908.jpg#0,neutral,4401319908.jpg#0r4n,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A lady looks at pictures on her camera to print.,( ( A lady ) ( ( looks ( at ( pictures ( on ( her ( camera ( to print ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN lady)) (VP (VBZ looks) (PP (IN at) (NP (NP (NNS pictures)) (PP (IN on) (NP (PRP$ her) (NN camera) (S (VP (TO to) (VP (VB print))))))))) (. .))) +1129,['neutral'],4401319908.jpg#0,neutral,4401319908.jpg#0r3n,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),"An ingnue sits with a world-weary expression, staring at old honeymoon photos.","( ( An ingnue ) ( ( ( ( sits ( with ( a ( world-weary expression ) ) ) ) , ) ( staring ( at ( old ( honeymoon photos ) ) ) ) ) . ) )","(ROOT (S (NP (DT An) (NN ingnue)) (VP (VBZ sits) (PP (IN with) (NP (DT a) (JJ world-weary) (NN expression))) (, ,) (S (VP (VBG staring) (PP (IN at) (NP (JJ old) (NN honeymoon) (NNS photos)))))) (. .)))" +1130,['entailment'],4401319908.jpg#0,entailment,4401319908.jpg#0r2e,Young lady dressed in black shorts and light blue shirt sitting outside at a public table looking at a picture on her camera with her left hand on her face.,( ( Young lady ) ( ( ( dressed ( in ( ( ( black shorts ) and ) ( light ( blue shirt ) ) ) ) ) ( ( sitting outside ) ( at ( ( a ( public table ) ) ( ( looking ( at ( ( a picture ) ( on ( her camera ) ) ) ) ) ( with ( ( her ( left hand ) ) ( on ( her face ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Young) (NN lady)) (VP (VBD dressed) (PP (IN in) (NP (NP (JJ black) (NNS shorts)) (CC and) (NP (JJ light) (JJ blue) (NN shirt)))) (S (VP (VBG sitting) (ADVP (RB outside)) (PP (IN at) (NP (NP (DT a) (JJ public) (NN table)) (VP (VBG looking) (PP (IN at) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (PRP$ her) (NN camera))))) (PP (IN with) (NP (NP (PRP$ her) (JJ left) (NN hand)) (PP (IN on) (NP (PRP$ her) (NN face))))))))))) (. .))),A lady at a table takes pictures.,( ( ( A lady ) ( at ( a table ) ) ) ( ( takes pictures ) . ) ),(ROOT (S (NP (NP (DT A) (NN lady)) (PP (IN at) (NP (DT a) (NN table)))) (VP (VBZ takes) (NP (NNS pictures))) (. .))) +1131,['neutral'],4401319908.jpg#3,neutral,4401319908.jpg#3r1n,"A woman sitting at a table, taking a picture.","( ( ( A woman ) ( ( ( sitting ( at ( a table ) ) ) , ) ( taking ( a picture ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table))) (, ,) (S (VP (VBG taking) (NP (DT a) (NN picture))))) (. .)))",The woman is taking a picture,( ( The woman ) ( is ( taking ( a picture ) ) ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG taking) (NP (DT a) (NN picture)))))) +1132,['entailment'],4401319908.jpg#3,entailment,4401319908.jpg#3r1e,"A woman sitting at a table, taking a picture.","( ( ( A woman ) ( ( ( sitting ( at ( a table ) ) ) , ) ( taking ( a picture ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table))) (, ,) (S (VP (VBG taking) (NP (DT a) (NN picture))))) (. .)))",THe woman is sitting down,( ( THe woman ) ( is ( sitting down ) ) ),(ROOT (S (NP (NNP THe) (NN woman)) (VP (VBZ is) (VP (VBG sitting) (PRT (RP down)))))) +1133,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",4401319908.jpg#3,contradiction,4401319908.jpg#3r1c,"A woman sitting at a table, taking a picture.","( ( ( A woman ) ( ( ( sitting ( at ( a table ) ) ) , ) ( taking ( a picture ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table))) (, ,) (S (VP (VBG taking) (NP (DT a) (NN picture))))) (. .)))",The woman is sleeping.,( ( The woman ) ( ( is sleeping ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG sleeping))) (. .))) +1134,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",4401319908.jpg#2,entailment,4401319908.jpg#2r1e,A woman in a blue shirt is sitting at a table and looking at her cellphone.,( ( ( A woman ) ( in ( a ( blue shirt ) ) ) ) ( ( is ( ( ( sitting ( at ( a table ) ) ) and ) ( looking ( at ( her cellphone ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ is) (VP (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table)))) (CC and) (VP (VBG looking) (PP (IN at) (NP (PRP$ her) (NN cellphone)))))) (. .))),a woman looking at her cellphone,( a ( woman ( looking ( at ( her cellphone ) ) ) ) ),(ROOT (FRAG (NP (DT a) (NN woman) (S (VP (VBG looking) (PP (IN at) (NP (PRP$ her) (NN cellphone)))))))) +1135,['neutral'],4401319908.jpg#2,neutral,4401319908.jpg#2r1n,A woman in a blue shirt is sitting at a table and looking at her cellphone.,( ( ( A woman ) ( in ( a ( blue shirt ) ) ) ) ( ( is ( ( ( sitting ( at ( a table ) ) ) and ) ( looking ( at ( her cellphone ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ is) (VP (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table)))) (CC and) (VP (VBG looking) (PP (IN at) (NP (PRP$ her) (NN cellphone)))))) (. .))),a woman looking at her cellphone call log,( ( ( a woman ) ( looking ( at ( her ( cellphone call ) ) ) ) ) log ),(ROOT (S (NP (NP (DT a) (NN woman)) (VP (VBG looking) (PP (IN at) (NP (PRP$ her) (JJ cellphone) (NN call))))) (VP (VBP log)))) +1136,['contradiction'],4401319908.jpg#2,contradiction,4401319908.jpg#2r1c,A woman in a blue shirt is sitting at a table and looking at her cellphone.,( ( ( A woman ) ( in ( a ( blue shirt ) ) ) ) ( ( is ( ( ( sitting ( at ( a table ) ) ) and ) ( looking ( at ( her cellphone ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ is) (VP (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table)))) (CC and) (VP (VBG looking) (PP (IN at) (NP (PRP$ her) (NN cellphone)))))) (. .))),a man looking out the window,( a ( man ( ( looking out ) ( the window ) ) ) ),(ROOT (FRAG (NP (DT a) (NN man) (S (VP (VBG looking) (PRT (RP out)) (NP (DT the) (NN window))))))) +1137,['neutral'],169490297.jpg#0,neutral,169490297.jpg#0r3n,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",A gentleman in sleeveless blue shirt swings his hands at his sides,( ( ( A gentleman ) ( in ( sleeveless ( blue ( shirt swings ) ) ) ) ) ( ( his hands ) ( at ( his sides ) ) ) ),(ROOT (NP (NP (NP (DT A) (NN gentleman)) (PP (IN in) (NP (JJ sleeveless) (JJ blue) (NN shirt) (NNS swings)))) (NP (NP (PRP$ his) (NNS hands)) (PP (IN at) (NP (PRP$ his) (NNS sides)))))) +1138,['neutral'],169490297.jpg#0,neutral,169490297.jpg#0r5n,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",The shirt is new.,( ( The shirt ) ( ( is new ) . ) ),(ROOT (S (NP (DT The) (NN shirt)) (VP (VBZ is) (ADJP (JJ new))) (. .))) +1139,['neutral'],169490297.jpg#0,neutral,169490297.jpg#0r2n,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",He is exercising,( He ( is exercising ) ),(ROOT (S (NP (PRP He)) (VP (VBZ is) (VP (VBG exercising))))) +1140,['contradiction'],169490297.jpg#0,contradiction,169490297.jpg#0r1c,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",The boy is trying to pass a sobriety test.,( ( The boy ) ( ( is ( trying ( to ( pass ( a ( sobriety test ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB pass) (NP (DT a) (NN sobriety) (NN test))))))) (. .))) +1141,['entailment'],169490297.jpg#0,entailment,169490297.jpg#0r4e,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",A boy in a tri-colored shirt has his arms out to the side.,( ( ( A boy ) ( in ( a ( tri-colored shirt ) ) ) ) ( ( ( has ( his arms ) ) ( out ( to ( the side ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (DT a) (JJ tri-colored) (NN shirt)))) (VP (VBZ has) (NP (PRP$ his) (NNS arms)) (PP (RB out) (PP (TO to) (NP (DT the) (NN side))))) (. .))) +1142,['entailment'],169490297.jpg#0,entailment,169490297.jpg#0r5e,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",The boy is wearing a shirt.,( ( The boy ) ( ( is ( wearing ( a shirt ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN shirt)))) (. .))) +1143,['entailment'],169490297.jpg#0,entailment,169490297.jpg#0r2e,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",He is wearing a multicolored shirt,( He ( is ( wearing ( a ( multicolored shirt ) ) ) ) ),(ROOT (S (NP (PRP He)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ multicolored) (NN shirt)))))) +1144,['contradiction'],169490297.jpg#0,contradiction,169490297.jpg#0r2c,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",The boy does not have his arms out,( ( The boy ) ( ( does not ) ( ( have ( his arms ) ) out ) ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ does) (RB not) (VP (VB have) (NP (PRP$ his) (NNS arms)) (PRT (RP out)))))) +1145,['entailment'],169490297.jpg#0,entailment,169490297.jpg#0r1e,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",The boy is young.,( ( The boy ) ( ( is young ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ is) (ADJP (JJ young))) (. .))) +1146,['contradiction'],169490297.jpg#0,contradiction,169490297.jpg#0r4c,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",A boy is folding clean laundry.,( ( A boy ) ( ( is ( folding ( clean laundry ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (NP (JJ folding) (JJ clean) (NN laundry))) (. .))) +1147,['contradiction'],169490297.jpg#0,contradiction,169490297.jpg#0r5c,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",The shirt is blue.,( ( The shirt ) ( ( is blue ) . ) ),(ROOT (S (NP (DT The) (NN shirt)) (VP (VBZ is) (ADJP (JJ blue))) (. .))) +1148,['entailment'],169490297.jpg#0,entailment,169490297.jpg#0r3e,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",A boy in multi-colored shirt hold his arms out from his sides,( ( ( A boy ) ( in ( multi-colored shirt ) ) ) ( ( ( hold ( his arms ) ) out ) ( from ( his sides ) ) ) ),(ROOT (S (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (JJ multi-colored) (NN shirt)))) (VP (VBP hold) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) +1149,['neutral'],169490297.jpg#0,neutral,169490297.jpg#0r4n,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",A little boy has his arms held out to his sides and he is sticking out his tongue.,( ( ( ( ( A ( little boy ) ) ( has ( ( his arms ) ( ( held out ) ( to ( his sides ) ) ) ) ) ) and ) ( he ( is ( ( sticking out ) ( his tongue ) ) ) ) ) . ),(ROOT (S (S (NP (DT A) (JJ little) (NN boy)) (VP (VBZ has) (NP (NP (PRP$ his) (NNS arms)) (VP (VBN held) (PRT (RP out)) (PP (TO to) (NP (PRP$ his) (NNS sides))))))) (CC and) (S (NP (PRP he)) (VP (VBZ is) (VP (VBG sticking) (PRT (RP out)) (NP (PRP$ his) (NN tongue))))) (. .))) +1150,['neutral'],169490297.jpg#0,neutral,169490297.jpg#0r1n,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",The boy is pretending to be an airplane.,( ( The boy ) ( ( is ( pretending ( to ( be ( an airplane ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ is) (VP (VBG pretending) (S (VP (TO to) (VP (VB be) (NP (DT an) (NN airplane))))))) (. .))) +1151,['contradiction'],169490297.jpg#0,contradiction,169490297.jpg#0r3c,"A boy in a blue, yellow, and orange shirt holding his arms out from his sides.","( ( ( A boy ) ( in ( ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ( ( ( holding ( his arms ) ) out ) ( from ( his sides ) ) ) ) ) ) . )","(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (PP (IN from) (NP (PRP$ his) (NNS sides)))))) (. .)))",A girl dressed in bikinis walk graciously past a group of gentlemen at the beach,( ( ( A girl ) ( dressed ( in bikinis ) ) ) ( ( walk graciously ) ( past ( ( a group ) ( of ( gentlemen ( at ( the beach ) ) ) ) ) ) ) ),(ROOT (S (NP (NP (DT A) (NN girl)) (VP (VBN dressed) (PP (IN in) (NP (NNS bikinis))))) (VP (VBP walk) (ADVP (RB graciously)) (PP (IN past) (NP (NP (DT a) (NN group)) (PP (IN of) (NP (NP (NNS gentlemen)) (PP (IN at) (NP (DT the) (NN beach)))))))))) +1152,['entailment'],169490297.jpg#1,entailment,169490297.jpg#1r1e,The boy in the blue and yellow top is standing with arms outstretched.,( ( ( The boy ) ( in ( the ( ( ( blue and ) yellow ) top ) ) ) ) ( ( is ( standing ( with ( arms outstretched ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN boy)) (PP (IN in) (NP (DT the) (ADJP (JJ blue) (CC and) (JJ yellow)) (NN top)))) (VP (VBZ is) (VP (VBG standing) (PP (IN with) (NP (NP (NNS arms)) (VP (VBN outstretched)))))) (. .))),A boy is wearing a shirt,( ( A boy ) ( is ( wearing ( a shirt ) ) ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN shirt)))))) +1153,['contradiction'],169490297.jpg#1,contradiction,169490297.jpg#1r1c,The boy in the blue and yellow top is standing with arms outstretched.,( ( ( The boy ) ( in ( the ( ( ( blue and ) yellow ) top ) ) ) ) ( ( is ( standing ( with ( arms outstretched ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN boy)) (PP (IN in) (NP (DT the) (ADJP (JJ blue) (CC and) (JJ yellow)) (NN top)))) (VP (VBZ is) (VP (VBG standing) (PP (IN with) (NP (NP (NNS arms)) (VP (VBN outstretched)))))) (. .))),The boy in the blue and yellow top is standing with arms outstretched 40 feet wide.,( ( ( The boy ) ( in ( the ( ( ( blue and ) yellow ) top ) ) ) ) ( ( is ( standing ( with ( arms ( outstretched ( ( 40 feet ) wide ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN boy)) (PP (IN in) (NP (DT the) (ADJP (JJ blue) (CC and) (JJ yellow)) (NN top)))) (VP (VBZ is) (VP (VBG standing) (PP (IN with) (NP (NP (NNS arms)) (VP (VBN outstretched) (ADJP (NP (CD 40) (NNS feet)) (JJ wide))))))) (. .))) +1154,['neutral'],169490297.jpg#1,neutral,169490297.jpg#1r1n,The boy in the blue and yellow top is standing with arms outstretched.,( ( ( The boy ) ( in ( the ( ( ( blue and ) yellow ) top ) ) ) ) ( ( is ( standing ( with ( arms outstretched ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN boy)) (PP (IN in) (NP (DT the) (ADJP (JJ blue) (CC and) (JJ yellow)) (NN top)))) (VP (VBZ is) (VP (VBG standing) (PP (IN with) (NP (NP (NNS arms)) (VP (VBN outstretched)))))) (. .))),The boy in the blue and yellow top is standing with arms outstretched waiting for his grandmother to hug him.,( ( ( The boy ) ( in ( the ( ( ( blue and ) yellow ) top ) ) ) ) ( ( is ( standing ( with ( arms ( outstretched ( waiting ( for ( his ( grandmother ( to ( hug him ) ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN boy)) (PP (IN in) (NP (DT the) (ADJP (JJ blue) (CC and) (JJ yellow)) (NN top)))) (VP (VBZ is) (VP (VBG standing) (PP (IN with) (NP (NP (NNS arms)) (VP (VBN outstretched) (S (VP (VBG waiting) (PP (IN for) (NP (PRP$ his) (NN grandmother) (S (VP (TO to) (VP (VB hug) (NP (PRP him)))))))))))))) (. .))) +1155,['neutral'],169490297.jpg#2,neutral,169490297.jpg#2r1n,"A boy in a blue, yellow, and orange shirt plays outside.","( ( ( A boy ) ( in ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ) ) ( ( plays outside ) . ) )","(ROOT (S (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)))) (VP (VBZ plays) (ADVP (RB outside))) (. .)))",A boy is having fun on vacation.,( ( A boy ) ( ( is ( having ( fun ( on vacation ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG having) (NP (NP (NN fun)) (PP (IN on) (NP (NN vacation)))))) (. .))) +1156,"['entailment', 'neutral', 'entailment', 'entailment', 'entailment']",169490297.jpg#2,entailment,169490297.jpg#2r1e,"A boy in a blue, yellow, and orange shirt plays outside.","( ( ( A boy ) ( in ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ) ) ( ( plays outside ) . ) )","(ROOT (S (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)))) (VP (VBZ plays) (ADVP (RB outside))) (. .)))",A boy in a shirt plays outside.,( ( ( A boy ) ( in ( a shirt ) ) ) ( ( plays outside ) . ) ),(ROOT (S (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (DT a) (NN shirt)))) (VP (VBZ plays) (ADVP (RB outside))) (. .))) +1157,['contradiction'],169490297.jpg#2,contradiction,169490297.jpg#2r1c,"A boy in a blue, yellow, and orange shirt plays outside.","( ( ( A boy ) ( in ( a ( ( blue ( , ( yellow ( , ( and orange ) ) ) ) ) shirt ) ) ) ) ( ( plays outside ) . ) )","(ROOT (S (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (DT a) (ADJP (JJ blue) (, ,) (JJ yellow) (, ,) (CC and) (JJ orange)) (NN shirt)))) (VP (VBZ plays) (ADVP (RB outside))) (. .)))",A boy in a dress plays indoors.,( ( ( A boy ) ( in ( a dress ) ) ) ( ( plays indoors ) . ) ),(ROOT (S (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (DT a) (NN dress)))) (VP (VBZ plays) (ADVP (RB indoors))) (. .))) +1158,['contradiction'],169490297.jpg#3,contradiction,169490297.jpg#3r1c,A child with a brightly colored shirt plays outside.,( ( ( A child ) ( with ( a ( ( brightly colored ) shirt ) ) ) ) ( ( plays outside ) . ) ),(ROOT (S (NP (NP (DT A) (NN child)) (PP (IN with) (NP (DT a) (ADJP (RB brightly) (VBN colored)) (NN shirt)))) (VP (VBZ plays) (ADVP (RB outside))) (. .))),The child is inside his apartment.,( ( The child ) ( ( is ( inside ( his apartment ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ is) (PP (IN inside) (NP (PRP$ his) (NN apartment)))) (. .))) +1159,['neutral'],169490297.jpg#3,neutral,169490297.jpg#3r1n,A child with a brightly colored shirt plays outside.,( ( ( A child ) ( with ( a ( ( brightly colored ) shirt ) ) ) ) ( ( plays outside ) . ) ),(ROOT (S (NP (NP (DT A) (NN child)) (PP (IN with) (NP (DT a) (ADJP (RB brightly) (VBN colored)) (NN shirt)))) (VP (VBZ plays) (ADVP (RB outside))) (. .))),The child is playing on the jungle gym.,( ( The child ) ( ( is ( playing ( on ( the ( jungle gym ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ is) (VP (VBG playing) (PP (IN on) (NP (DT the) (NN jungle) (NN gym))))) (. .))) +1160,['entailment'],169490297.jpg#3,entailment,169490297.jpg#3r1e,A child with a brightly colored shirt plays outside.,( ( ( A child ) ( with ( a ( ( brightly colored ) shirt ) ) ) ) ( ( plays outside ) . ) ),(ROOT (S (NP (NP (DT A) (NN child)) (PP (IN with) (NP (DT a) (ADJP (RB brightly) (VBN colored)) (NN shirt)))) (VP (VBZ plays) (ADVP (RB outside))) (. .))),The child is outdoors in his bright colored shirt.,( ( The child ) ( ( ( is outdoors ) ( in ( his ( bright ( colored shirt ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ is) (ADVP (RB outdoors)) (PP (IN in) (NP (PRP$ his) (JJ bright) (JJ colored) (NN shirt)))) (. .))) +1161,['entailment'],169490297.jpg#4,entailment,169490297.jpg#4r1e,A boy looks down and spreads his arms wide,( ( A boy ) ( ( ( looks down ) and ) ( spreads ( ( his arms ) wide ) ) ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VP (VBZ looks) (PRT (RP down))) (CC and) (VP (VBZ spreads) (S (NP (PRP$ his) (NNS arms)) (ADJP (JJ wide))))))),A boy is holding his arms out.,( ( A boy ) ( ( is ( ( holding ( his arms ) ) out ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)))) (. .))) +1162,['neutral'],169490297.jpg#4,neutral,169490297.jpg#4r1n,A boy looks down and spreads his arms wide,( ( A boy ) ( ( ( looks down ) and ) ( spreads ( ( his arms ) wide ) ) ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VP (VBZ looks) (PRT (RP down))) (CC and) (VP (VBZ spreads) (S (NP (PRP$ his) (NNS arms)) (ADJP (JJ wide))))))),A boy is holding his arms out to hug his mother.,( ( A boy ) ( ( is ( ( ( holding ( his arms ) ) out ) ( to ( hug ( his mother ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (S (VP (VBG holding) (NP (PRP$ his) (NNS arms)) (PRT (RP out)) (S (VP (TO to) (VP (VB hug) (NP (PRP$ his) (NN mother)))))))) (. .))) +1163,['contradiction'],169490297.jpg#4,contradiction,169490297.jpg#4r1c,A boy looks down and spreads his arms wide,( ( A boy ) ( ( ( looks down ) and ) ( spreads ( ( his arms ) wide ) ) ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VP (VBZ looks) (PRT (RP down))) (CC and) (VP (VBZ spreads) (S (NP (PRP$ his) (NNS arms)) (ADJP (JJ wide))))))),A boy has his arms crossed over his chest.,( ( A boy ) ( ( has ( ( his arms ) ( crossed ( over ( his chest ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ has) (NP (NP (PRP$ his) (NNS arms)) (VP (VBN crossed) (PP (IN over) (NP (PRP$ his) (NN chest)))))) (. .))) +1164,['contradiction'],1974336555.jpg#3,contradiction,1974336555.jpg#3r1c,A man wearing a gray sweater walking through a pile of leaves.,( ( ( A man ) ( wearing ( ( a ( gray sweater ) ) ( walking ( through ( ( a pile ) ( of leaves ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (JJ gray) (NN sweater)) (VP (VBG walking) (PP (IN through) (NP (NP (DT a) (NN pile)) (PP (IN of) (NP (NNS leaves)))))))) (. .))),The man is taking his driving test.,( ( The man ) ( ( is ( taking ( his ( driving test ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG taking) (NP (PRP$ his) (VBG driving) (NN test)))) (. .))) +1165,['neutral'],1974336555.jpg#3,neutral,1974336555.jpg#3r1n,A man wearing a gray sweater walking through a pile of leaves.,( ( ( A man ) ( wearing ( ( a ( gray sweater ) ) ( walking ( through ( ( a pile ) ( of leaves ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (JJ gray) (NN sweater)) (VP (VBG walking) (PP (IN through) (NP (NP (DT a) (NN pile)) (PP (IN of) (NP (NNS leaves)))))))) (. .))),The man is outside in the Fall.,( ( The man ) ( ( ( is outside ) ( in ( the Fall ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (ADVP (RB outside)) (PP (IN in) (NP (DT the) (NN Fall)))) (. .))) +1166,['entailment'],1974336555.jpg#3,entailment,1974336555.jpg#3r1e,A man wearing a gray sweater walking through a pile of leaves.,( ( ( A man ) ( wearing ( ( a ( gray sweater ) ) ( walking ( through ( ( a pile ) ( of leaves ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (JJ gray) (NN sweater)) (VP (VBG walking) (PP (IN through) (NP (NP (DT a) (NN pile)) (PP (IN of) (NP (NNS leaves)))))))) (. .))),The man is outside.,( ( The man ) ( ( is outside ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (ADVP (RB outside))) (. .))) +1167,['contradiction'],6160193920.jpg#3,contradiction,6160193920.jpg#3r1c,A lady wearing a blue print shirt and green head cover smiles for the camera.,( ( ( A lady ) ( wearing ( a ( blue ( print ( shirt ( and ( green ( head cover ) ) ) ) ) ) ) ) ) ( ( smiles ( for ( the camera ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN lady)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN print) (NN shirt) (CC and) (JJ green) (NN head) (NN cover)))) (VP (VBZ smiles) (PP (IN for) (NP (DT the) (NN camera)))) (. .))),A lady wearing a dress.,( ( ( A lady ) ( wearing ( a dress ) ) ) . ),(ROOT (NP (NP (DT A) (NN lady)) (VP (VBG wearing) (NP (DT a) (NN dress))) (. .))) +1168,['entailment'],6160193920.jpg#3,entailment,6160193920.jpg#3r1e,A lady wearing a blue print shirt and green head cover smiles for the camera.,( ( ( A lady ) ( wearing ( a ( blue ( print ( shirt ( and ( green ( head cover ) ) ) ) ) ) ) ) ) ( ( smiles ( for ( the camera ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN lady)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN print) (NN shirt) (CC and) (JJ green) (NN head) (NN cover)))) (VP (VBZ smiles) (PP (IN for) (NP (DT the) (NN camera)))) (. .))),A lady wearing a blue shirt.,( ( ( A lady ) ( wearing ( a ( blue shirt ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN lady)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt))) (. .))) +1169,['neutral'],6160193920.jpg#3,neutral,6160193920.jpg#3r1n,A lady wearing a blue print shirt and green head cover smiles for the camera.,( ( ( A lady ) ( wearing ( a ( blue ( print ( shirt ( and ( green ( head cover ) ) ) ) ) ) ) ) ) ( ( smiles ( for ( the camera ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN lady)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN print) (NN shirt) (CC and) (JJ green) (NN head) (NN cover)))) (VP (VBZ smiles) (PP (IN for) (NP (DT the) (NN camera)))) (. .))),A lady wearing a cover.,( ( ( A lady ) ( wearing ( a cover ) ) ) . ),(ROOT (NP (NP (DT A) (NN lady)) (VP (VBG wearing) (NP (DT a) (NN cover))) (. .))) +1170,['neutral'],4710471707.jpg#3,neutral,4710471707.jpg#3r1n,The man wearing lots of medals is watching the girl in the yellow bikini top.,( ( ( The man ) ( wearing ( lots ( of medals ) ) ) ) ( ( is ( watching ( ( the girl ) ( in ( the ( yellow ( bikini top ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN man)) (VP (VBG wearing) (NP (NP (NNS lots)) (PP (IN of) (NP (NNS medals)))))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT the) (NN girl)) (PP (IN in) (NP (DT the) (JJ yellow) (NN bikini) (NN top)))))) (. .))),A military officer watches girls at the base pool.,( ( A ( military officer ) ) ( ( ( watches girls ) ( at ( the ( base pool ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ military) (NN officer)) (VP (VBZ watches) (NP (NNS girls)) (PP (IN at) (NP (DT the) (NN base) (NN pool)))) (. .))) +1171,['contradiction'],4710471707.jpg#3,contradiction,4710471707.jpg#3r1c,The man wearing lots of medals is watching the girl in the yellow bikini top.,( ( ( The man ) ( wearing ( lots ( of medals ) ) ) ) ( ( is ( watching ( ( the girl ) ( in ( the ( yellow ( bikini top ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN man)) (VP (VBG wearing) (NP (NP (NNS lots)) (PP (IN of) (NP (NNS medals)))))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT the) (NN girl)) (PP (IN in) (NP (DT the) (JJ yellow) (NN bikini) (NN top)))))) (. .))),A man dances with a woman in a gown.,( ( A man ) ( ( dances ( with ( ( a woman ) ( in ( a gown ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ dances) (PP (IN with) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT a) (NN gown)))))) (. .))) +1172,['entailment'],4710471707.jpg#3,entailment,4710471707.jpg#3r1e,The man wearing lots of medals is watching the girl in the yellow bikini top.,( ( ( The man ) ( wearing ( lots ( of medals ) ) ) ) ( ( is ( watching ( ( the girl ) ( in ( the ( yellow ( bikini top ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN man)) (VP (VBG wearing) (NP (NP (NNS lots)) (PP (IN of) (NP (NNS medals)))))) (VP (VBZ is) (VP (VBG watching) (NP (NP (DT the) (NN girl)) (PP (IN in) (NP (DT the) (JJ yellow) (NN bikini) (NN top)))))) (. .))),A decorated man sees a scantily clad female.,( ( A ( decorated man ) ) ( ( sees ( a ( ( scantily clad ) female ) ) ) . ) ),(ROOT (S (NP (DT A) (ADJP (VBN decorated)) (NN man)) (VP (VBZ sees) (NP (DT a) (ADJP (RB scantily) (JJ clad)) (NN female))) (. .))) +1173,['contradiction'],1974336555.jpg#0,contradiction,1974336555.jpg#0r1c,"A young man in his mid twenties is kicking his left foot about two feet off the leaf covered ground, with paved asphalt and green plants and trees in the background.","( ( ( A ( young man ) ) ( in ( his ( mid twenties ) ) ) ) ( ( is ( ( kicking ( his ( left foot ) ) ) ( ( ( about two ) feet ) ( off ( ( the leaf ) ( ( covered ( ( ground , ) ( with ( paved ( asphalt ( and ( green ( ( plants and ) trees ) ) ) ) ) ) ) ) ( in ( the background ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (PRP$ his) (JJ mid) (NNS twenties)))) (VP (VBZ is) (VP (VBG kicking) (NP (PRP$ his) (JJ left) (NN foot)) (PP (NP (QP (RB about) (CD two)) (NNS feet)) (IN off) (NP (NP (DT the) (NN leaf)) (VP (VBN covered) (NP (NP (NN ground)) (, ,) (PP (IN with) (NP (JJ paved) (NN asphalt) (CC and) (JJ green) (NNS plants) (CC and) (NNS trees)))) (PP (IN in) (NP (DT the) (NN background)))))))) (. .)))",two women play soccer,( ( two women ) ( play soccer ) ),(ROOT (NP (NP (CD two) (NNS women)) (NP (NN play) (NN soccer)))) +1174,"['neutral', '', 'neutral', 'neutral', 'neutral']",1974336555.jpg#0,neutral,1974336555.jpg#0r1n,"A young man in his mid twenties is kicking his left foot about two feet off the leaf covered ground, with paved asphalt and green plants and trees in the background.","( ( ( A ( young man ) ) ( in ( his ( mid twenties ) ) ) ) ( ( is ( ( kicking ( his ( left foot ) ) ) ( ( ( about two ) feet ) ( off ( ( the leaf ) ( ( covered ( ( ground , ) ( with ( paved ( asphalt ( and ( green ( ( plants and ) trees ) ) ) ) ) ) ) ) ( in ( the background ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (PRP$ his) (JJ mid) (NNS twenties)))) (VP (VBZ is) (VP (VBG kicking) (NP (PRP$ his) (JJ left) (NN foot)) (PP (NP (QP (RB about) (CD two)) (NNS feet)) (IN off) (NP (NP (DT the) (NN leaf)) (VP (VBN covered) (NP (NP (NN ground)) (, ,) (PP (IN with) (NP (JJ paved) (NN asphalt) (CC and) (JJ green) (NNS plants) (CC and) (NNS trees)))) (PP (IN in) (NP (DT the) (NN background)))))))) (. .)))",a punk kicks leaves,( ( a punk ) ( kicks leaves ) ),(ROOT (S (NP (DT a) (NN punk)) (VP (VBZ kicks) (NP (NNS leaves))))) +1175,['entailment'],1974336555.jpg#0,entailment,1974336555.jpg#0r1e,"A young man in his mid twenties is kicking his left foot about two feet off the leaf covered ground, with paved asphalt and green plants and trees in the background.","( ( ( A ( young man ) ) ( in ( his ( mid twenties ) ) ) ) ( ( is ( ( kicking ( his ( left foot ) ) ) ( ( ( about two ) feet ) ( off ( ( the leaf ) ( ( covered ( ( ground , ) ( with ( paved ( asphalt ( and ( green ( ( plants and ) trees ) ) ) ) ) ) ) ) ( in ( the background ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (PRP$ his) (JJ mid) (NNS twenties)))) (VP (VBZ is) (VP (VBG kicking) (NP (PRP$ his) (JJ left) (NN foot)) (PP (NP (QP (RB about) (CD two)) (NNS feet)) (IN off) (NP (NP (DT the) (NN leaf)) (VP (VBN covered) (NP (NP (NN ground)) (, ,) (PP (IN with) (NP (JJ paved) (NN asphalt) (CC and) (JJ green) (NNS plants) (CC and) (NNS trees)))) (PP (IN in) (NP (DT the) (NN background)))))))) (. .)))",someone in his twenties kicks at the ground,( ( someone ( in ( his twenties ) ) ) ( kicks ( at ( the ground ) ) ) ),(ROOT (S (NP (NP (NN someone)) (PP (IN in) (NP (PRP$ his) (NNS twenties)))) (VP (VBZ kicks) (PP (IN at) (NP (DT the) (NN ground)))))) +1176,['contradiction'],6160193920.jpg#2,contradiction,6160193920.jpg#2r1c,A woman wearing a green headscarf laughs while a woman in the background paddles a boat.,( ( ( A woman ) ( wearing ( a ( green headscarf ) ) ) ) ( ( laughs ( while ( ( ( a woman ) ( in ( the background ) ) ) ( paddles ( a boat ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ green) (NN headscarf)))) (VP (VBZ laughs) (SBAR (IN while) (S (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT the) (NN background)))) (VP (VBZ paddles) (NP (DT a) (NN boat)))))) (. .))),A man is angered by an insult.,( ( A man ) ( ( is ( angered ( by ( an insult ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBN angered) (PP (IN by) (NP (DT an) (NN insult))))) (. .))) +1177,['entailment'],6160193920.jpg#2,entailment,6160193920.jpg#2r1e,A woman wearing a green headscarf laughs while a woman in the background paddles a boat.,( ( ( A woman ) ( wearing ( a ( green headscarf ) ) ) ) ( ( laughs ( while ( ( ( a woman ) ( in ( the background ) ) ) ( paddles ( a boat ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ green) (NN headscarf)))) (VP (VBZ laughs) (SBAR (IN while) (S (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT the) (NN background)))) (VP (VBZ paddles) (NP (DT a) (NN boat)))))) (. .))),A woman laughs while another paddles a boat.,( ( A woman ) ( ( laughs ( while ( another ( paddles ( a boat ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ laughs) (SBAR (IN while) (S (NP (DT another)) (VP (VBZ paddles) (NP (DT a) (NN boat)))))) (. .))) +1178,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",6160193920.jpg#2,neutral,6160193920.jpg#2r1n,A woman wearing a green headscarf laughs while a woman in the background paddles a boat.,( ( ( A woman ) ( wearing ( a ( green headscarf ) ) ) ) ( ( laughs ( while ( ( ( a woman ) ( in ( the background ) ) ) ( paddles ( a boat ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ green) (NN headscarf)))) (VP (VBZ laughs) (SBAR (IN while) (S (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT the) (NN background)))) (VP (VBZ paddles) (NP (DT a) (NN boat)))))) (. .))),A woman laughs at a joke.,( ( A woman ) ( ( laughs ( at ( a joke ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ laughs) (PP (IN at) (NP (DT a) (NN joke)))) (. .))) +1179,['contradiction'],2402665750.jpg#1,contradiction,2402665750.jpg#1r1c,Young people playing with a long jump rope in the street.,( ( ( Young people ) ( playing ( with ( ( a ( long ( jump rope ) ) ) ( in ( the street ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Young) (NNS people)) (VP (VBG playing) (PP (IN with) (NP (NP (DT a) (JJ long) (NN jump) (NN rope)) (PP (IN in) (NP (DT the) (NN street)))))) (. .))),People crying after losing a game.,( ( People ( crying ( after ( losing ( a game ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG crying) (PP (IN after) (S (VP (VBG losing) (NP (DT a) (NN game)))))) (. .))) +1180,['neutral'],2402665750.jpg#1,neutral,2402665750.jpg#1r1n,Young people playing with a long jump rope in the street.,( ( ( Young people ) ( playing ( with ( ( a ( long ( jump rope ) ) ) ( in ( the street ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Young) (NNS people)) (VP (VBG playing) (PP (IN with) (NP (NP (DT a) (JJ long) (NN jump) (NN rope)) (PP (IN in) (NP (DT the) (NN street)))))) (. .))),People chanting as they play jump rope.,( ( People ( chanting ( as ( they ( play ( jump rope ) ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG chanting) (SBAR (IN as) (S (NP (PRP they)) (VP (VBP play) (NP (NN jump) (NN rope)))))) (. .))) +1181,['entailment'],2402665750.jpg#1,entailment,2402665750.jpg#1r1e,Young people playing with a long jump rope in the street.,( ( ( Young people ) ( playing ( with ( ( a ( long ( jump rope ) ) ) ( in ( the street ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Young) (NNS people)) (VP (VBG playing) (PP (IN with) (NP (NP (DT a) (JJ long) (NN jump) (NN rope)) (PP (IN in) (NP (DT the) (NN street)))))) (. .))),People playing jump rope.,( ( People ( playing ( jump rope ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG playing) (NP (NN jump) (NN rope))) (. .))) +1182,['neutral'],2402665750.jpg#0,neutral,2402665750.jpg#0r1n,A group of children play jump rope in the streets while others watch in the background.,( ( ( A group ) ( of children ) ) ( ( ( ( play ( jump rope ) ) ( in ( the streets ) ) ) ( while ( others ( watch ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS children)))) (VP (VBP play) (NP (NN jump) (NN rope)) (PP (IN in) (NP (DT the) (NNS streets))) (SBAR (IN while) (S (NP (NNS others)) (VP (VBP watch) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),Several children in green uniforms are jumping rope in the middle of a road while other kids watch,( ( ( Several children ) ( in ( green uniforms ) ) ) ( are ( ( ( jumping rope ) ( in ( ( the middle ) ( of ( a road ) ) ) ) ) ( while ( ( other kids ) watch ) ) ) ) ),(ROOT (S (NP (NP (JJ Several) (NNS children)) (PP (IN in) (NP (JJ green) (NNS uniforms)))) (VP (VBP are) (VP (VBG jumping) (NP (NN rope)) (PP (IN in) (NP (NP (DT the) (NN middle)) (PP (IN of) (NP (DT a) (NN road))))) (SBAR (IN while) (S (NP (JJ other) (NNS kids)) (VP (VBP watch)))))))) +1183,['entailment'],2402665750.jpg#0,entailment,2402665750.jpg#0r1e,A group of children play jump rope in the streets while others watch in the background.,( ( ( A group ) ( of children ) ) ( ( ( ( play ( jump rope ) ) ( in ( the streets ) ) ) ( while ( others ( watch ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS children)))) (VP (VBP play) (NP (NN jump) (NN rope)) (PP (IN in) (NP (DT the) (NNS streets))) (SBAR (IN while) (S (NP (NNS others)) (VP (VBP watch) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),Several children are jumping rope in the middle of a road while other kids watch,( ( Several children ) ( are ( ( ( jumping rope ) ( in ( ( the middle ) ( of ( a road ) ) ) ) ) ( while ( ( other kids ) watch ) ) ) ) ),(ROOT (S (NP (JJ Several) (NNS children)) (VP (VBP are) (VP (VBG jumping) (NP (NN rope)) (PP (IN in) (NP (NP (DT the) (NN middle)) (PP (IN of) (NP (DT a) (NN road))))) (SBAR (IN while) (S (NP (JJ other) (NNS kids)) (VP (VBP watch)))))))) +1184,['contradiction'],2402665750.jpg#0,contradiction,2402665750.jpg#0r1c,A group of children play jump rope in the streets while others watch in the background.,( ( ( A group ) ( of children ) ) ( ( ( ( play ( jump rope ) ) ( in ( the streets ) ) ) ( while ( others ( watch ( in ( the background ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS children)))) (VP (VBP play) (NP (NN jump) (NN rope)) (PP (IN in) (NP (DT the) (NNS streets))) (SBAR (IN while) (S (NP (NNS others)) (VP (VBP watch) (PP (IN in) (NP (DT the) (NN background))))))) (. .))),A brilliant red sun sets over a deserted beach,( ( A ( brilliant ( red sun ) ) ) ( sets ( over ( a ( deserted beach ) ) ) ) ),(ROOT (S (NP (DT A) (JJ brilliant) (JJ red) (NN sun)) (VP (VBZ sets) (PP (IN over) (NP (DT a) (VBN deserted) (NN beach)))))) +1185,['contradiction'],97162852.jpg#1,contradiction,97162852.jpg#1r1c,Hispanic woman wearing a red plaid shirt works on sewing an article of clothing.,( ( ( Hispanic woman ) ( wearing ( a ( red ( plaid shirt ) ) ) ) ) ( ( works ( on ( sewing ( ( an article ) ( of clothing ) ) ) ) ) . ) ),(ROOT (S (NP (NP (JJ Hispanic) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ red) (JJ plaid) (NN shirt)))) (VP (VBZ works) (PP (IN on) (S (VP (VBG sewing) (NP (NP (DT an) (NN article)) (PP (IN of) (NP (NN clothing)))))))) (. .))),Woman wearing nothing sewing her thumb.,( ( Woman ( wearing nothing ) ) ( ( sewing ( her thumb ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (VP (VBG wearing) (NP (NN nothing)))) (VP (VBD sewing) (NP (PRP$ her) (NN thumb))) (. .))) +1186,['neutral'],97162852.jpg#1,neutral,97162852.jpg#1r1n,Hispanic woman wearing a red plaid shirt works on sewing an article of clothing.,( ( ( Hispanic woman ) ( wearing ( a ( red ( plaid shirt ) ) ) ) ) ( ( works ( on ( sewing ( ( an article ) ( of clothing ) ) ) ) ) . ) ),(ROOT (S (NP (NP (JJ Hispanic) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ red) (JJ plaid) (NN shirt)))) (VP (VBZ works) (PP (IN on) (S (VP (VBG sewing) (NP (NP (DT an) (NN article)) (PP (IN of) (NP (NN clothing)))))))) (. .))),Woman wearing a shirt sewing some jeans.,( ( Woman ( wearing ( a shirt ) ) ) ( ( sewing ( some jeans ) ) . ) ),(ROOT (S (NP (NP (NNP Woman)) (VP (VBG wearing) (NP (DT a) (NN shirt)))) (VP (VBD sewing) (NP (DT some) (NNS jeans))) (. .))) +1187,['entailment'],97162852.jpg#1,entailment,97162852.jpg#1r1e,Hispanic woman wearing a red plaid shirt works on sewing an article of clothing.,( ( ( Hispanic woman ) ( wearing ( a ( red ( plaid shirt ) ) ) ) ) ( ( works ( on ( sewing ( ( an article ) ( of clothing ) ) ) ) ) . ) ),(ROOT (S (NP (NP (JJ Hispanic) (NN woman)) (VP (VBG wearing) (NP (DT a) (JJ red) (JJ plaid) (NN shirt)))) (VP (VBZ works) (PP (IN on) (S (VP (VBG sewing) (NP (NP (DT an) (NN article)) (PP (IN of) (NP (NN clothing)))))))) (. .))),Woman wearing a shirt sewing.,( Woman ( ( wearing ( a ( shirt sewing ) ) ) . ) ),(ROOT (S (NP (NNP Woman)) (VP (VBG wearing) (NP (DT a) (NN shirt) (VBG sewing))) (. .))) +1188,['contradiction'],2402665750.jpg#2,contradiction,2402665750.jpg#2r1c,A group of young girls playing jump rope in the street.,( ( ( ( A group ) ( of ( young girls ) ) ) ( playing ( ( jump rope ) ( in ( the street ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (JJ young) (NNS girls)))) (VP (VBG playing) (NP (NP (NN jump) (NN rope)) (PP (IN in) (NP (DT the) (NN street))))) (. .))),Nobody is playing jump rope,( Nobody ( is ( playing ( jump rope ) ) ) ),(ROOT (S (NP (NN Nobody)) (VP (VBZ is) (VP (VBG playing) (NP (NN jump) (NN rope)))))) +1189,['entailment'],2402665750.jpg#2,entailment,2402665750.jpg#2r1e,A group of young girls playing jump rope in the street.,( ( ( ( A group ) ( of ( young girls ) ) ) ( playing ( ( jump rope ) ( in ( the street ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (JJ young) (NNS girls)))) (VP (VBG playing) (NP (NP (NN jump) (NN rope)) (PP (IN in) (NP (DT the) (NN street))))) (. .))),Humans playing jump rope,( Humans ( playing ( jump rope ) ) ),(ROOT (NP (NNS Humans) (NN playing) (NN jump) (NNS rope))) +1190,['neutral'],2402665750.jpg#2,neutral,2402665750.jpg#2r1n,A group of young girls playing jump rope in the street.,( ( ( ( A group ) ( of ( young girls ) ) ) ( playing ( ( jump rope ) ( in ( the street ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (JJ young) (NNS girls)))) (VP (VBG playing) (NP (NP (NN jump) (NN rope)) (PP (IN in) (NP (DT the) (NN street))))) (. .))),Tall humans playing jump rope,( Tall ( humans ( playing ( jump rope ) ) ) ),(ROOT (S (VP (VB Tall) (S (NP (NNS humans)) (VP (VBG playing) (NP (NN jump) (NN rope))))))) +1191,['contradiction'],445081753.jpg#3,contradiction,445081753.jpg#3r1c,A man in a tan suit is using a pay phone to make a call.,( ( ( A man ) ( in ( a ( tan suit ) ) ) ) ( ( is ( ( using ( a ( pay phone ) ) ) ( to ( make ( a call ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ tan) (NN suit)))) (VP (VBZ is) (VP (VBG using) (NP (DT a) (NN pay) (NN phone)) (S (VP (TO to) (VP (VB make) (NP (DT a) (NN call))))))) (. .))),Everyone is using a cell phone.,( Everyone ( ( is ( using ( a ( cell phone ) ) ) ) . ) ),(ROOT (S (NP (NN Everyone)) (VP (VBZ is) (VP (VBG using) (NP (DT a) (NN cell) (NN phone)))) (. .))) +1192,['entailment'],445081753.jpg#3,entailment,445081753.jpg#3r1e,A man in a tan suit is using a pay phone to make a call.,( ( ( A man ) ( in ( a ( tan suit ) ) ) ) ( ( is ( ( using ( a ( pay phone ) ) ) ( to ( make ( a call ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ tan) (NN suit)))) (VP (VBZ is) (VP (VBG using) (NP (DT a) (NN pay) (NN phone)) (S (VP (TO to) (VP (VB make) (NP (DT a) (NN call))))))) (. .))),Someone is on a phone.,( Someone ( ( is ( on ( a phone ) ) ) . ) ),(ROOT (S (NP (NN Someone)) (VP (VBZ is) (PP (IN on) (NP (DT a) (NN phone)))) (. .))) +1193,"['neutral', 'neutral', 'contradiction', 'neutral', 'neutral']",445081753.jpg#3,neutral,445081753.jpg#3r1n,A man in a tan suit is using a pay phone to make a call.,( ( ( A man ) ( in ( a ( tan suit ) ) ) ) ( ( is ( ( using ( a ( pay phone ) ) ) ( to ( make ( a call ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ tan) (NN suit)))) (VP (VBZ is) (VP (VBG using) (NP (DT a) (NN pay) (NN phone)) (S (VP (TO to) (VP (VB make) (NP (DT a) (NN call))))))) (. .))),The phone receiver is black.,( ( The ( phone receiver ) ) ( ( is black ) . ) ),(ROOT (S (NP (DT The) (NN phone) (NN receiver)) (VP (VBZ is) (ADJP (JJ black))) (. .))) +1194,['neutral'],2402665750.jpg#4,neutral,2402665750.jpg#4r1n,Some children are playing jump rope.,( ( Some children ) ( ( are ( playing ( jump rope ) ) ) . ) ),(ROOT (S (NP (DT Some) (NNS children)) (VP (VBP are) (VP (VBG playing) (NP (NN jump) (NN rope)))) (. .))),Some children are trying out for the jump rope competition.,( ( Some children ) ( ( are ( ( trying out ) ( for ( the ( jump ( rope competition ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT Some) (NNS children)) (VP (VBP are) (VP (VBG trying) (PRT (RP out)) (PP (IN for) (NP (DT the) (NN jump) (NN rope) (NN competition))))) (. .))) +1195,['contradiction'],2402665750.jpg#4,contradiction,2402665750.jpg#4r1c,Some children are playing jump rope.,( ( Some children ) ( ( are ( playing ( jump rope ) ) ) . ) ),(ROOT (S (NP (DT Some) (NNS children)) (VP (VBP are) (VP (VBG playing) (NP (NN jump) (NN rope)))) (. .))),Some children are reading books.,( ( Some children ) ( ( are ( reading books ) ) . ) ),(ROOT (S (NP (DT Some) (NNS children)) (VP (VBP are) (VP (VBG reading) (NP (NNS books)))) (. .))) +1196,['entailment'],2402665750.jpg#4,entailment,2402665750.jpg#4r1e,Some children are playing jump rope.,( ( Some children ) ( ( are ( playing ( jump rope ) ) ) . ) ),(ROOT (S (NP (DT Some) (NNS children)) (VP (VBP are) (VP (VBG playing) (NP (NN jump) (NN rope)))) (. .))),Children are jumping rope.,( Children ( ( are ( jumping rope ) ) . ) ),(ROOT (S (NP (NNP Children)) (VP (VBP are) (VP (VBG jumping) (NP (NN rope)))) (. .))) +1197,['contradiction'],2865376471.jpg#4,contradiction,2865376471.jpg#4r1c,A large golden dog sniffing the butt of a white dog,( ( A ( large ( golden ( dog sniffing ) ) ) ) ( ( the butt ) ( of ( a ( white dog ) ) ) ) ),(ROOT (NP (NP (DT A) (JJ large) (JJ golden) (NN dog) (NN sniffing)) (NP (NP (DT the) (NN butt)) (PP (IN of) (NP (DT a) (JJ white) (NN dog)))))),Two dogs drinking from a water fountain.,( ( ( Two dogs ) ( drinking ( from ( a ( water fountain ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS dogs)) (VP (VBG drinking) (PP (IN from) (NP (DT a) (NN water) (NN fountain)))) (. .))) +1198,['neutral'],2865376471.jpg#4,neutral,2865376471.jpg#4r1n,A large golden dog sniffing the butt of a white dog,( ( A ( large ( golden ( dog sniffing ) ) ) ) ( ( the butt ) ( of ( a ( white dog ) ) ) ) ),(ROOT (NP (NP (DT A) (JJ large) (JJ golden) (NN dog) (NN sniffing)) (NP (NP (DT the) (NN butt)) (PP (IN of) (NP (DT a) (JJ white) (NN dog)))))),A pair of mutts exchange a greeting in a park.,( ( ( A pair ) ( of mutts ) ) ( ( exchange ( ( a greeting ) ( in ( a park ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN pair)) (PP (IN of) (NP (NNS mutts)))) (VP (VBP exchange) (NP (NP (DT a) (NN greeting)) (PP (IN in) (NP (DT a) (NN park))))) (. .))) +1199,['entailment'],2865376471.jpg#4,entailment,2865376471.jpg#4r1e,A large golden dog sniffing the butt of a white dog,( ( A ( large ( golden ( dog sniffing ) ) ) ) ( ( the butt ) ( of ( a ( white dog ) ) ) ) ),(ROOT (NP (NP (DT A) (JJ large) (JJ golden) (NN dog) (NN sniffing)) (NP (NP (DT the) (NN butt)) (PP (IN of) (NP (DT a) (JJ white) (NN dog)))))),Two animals getting to know each other.,( ( ( Two animals ) ( getting ( to ( know ( each other ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS animals)) (VP (VBG getting) (S (VP (TO to) (VP (VB know) (NP (DT each) (JJ other)))))) (. .))) +1200,['contradiction'],3266261886.jpg#0,contradiction,3266261886.jpg#0r1c,A sumo wrestler with a brown belt is pushing another wrestler in a bout.,( ( ( A ( sumo wrestler ) ) ( with ( a ( brown belt ) ) ) ) ( ( is ( pushing ( ( another wrestler ) ( in ( a bout ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN sumo) (NN wrestler)) (PP (IN with) (NP (DT a) (JJ brown) (NN belt)))) (VP (VBZ is) (VP (VBG pushing) (NP (NP (DT another) (NN wrestler)) (PP (IN in) (NP (DT a) (NN bout)))))) (. .))),Two kickboxers excersise in the gym.,( ( Two kickboxers ) ( ( excersise ( in ( the gym ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS kickboxers)) (VP (VBP excersise) (PP (IN in) (NP (DT the) (NN gym)))) (. .))) +1201,['neutral'],3266261886.jpg#0,neutral,3266261886.jpg#0r1n,A sumo wrestler with a brown belt is pushing another wrestler in a bout.,( ( ( A ( sumo wrestler ) ) ( with ( a ( brown belt ) ) ) ) ( ( is ( pushing ( ( another wrestler ) ( in ( a bout ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN sumo) (NN wrestler)) (PP (IN with) (NP (DT a) (JJ brown) (NN belt)))) (VP (VBZ is) (VP (VBG pushing) (NP (NP (DT another) (NN wrestler)) (PP (IN in) (NP (DT a) (NN bout)))))) (. .))),One sumo wrestler doesnt like the other.,( ( One ( sumo wrestler ) ) ( ( doesnt ( like ( the other ) ) ) . ) ),(ROOT (S (NP (CD One) (NN sumo) (NN wrestler)) (VP (VBP doesnt) (PP (IN like) (NP (DT the) (JJ other)))) (. .))) +1202,"['entailment', 'entailment', 'entailment', 'neutral', 'entailment']",3266261886.jpg#0,entailment,3266261886.jpg#0r1e,A sumo wrestler with a brown belt is pushing another wrestler in a bout.,( ( ( A ( sumo wrestler ) ) ( with ( a ( brown belt ) ) ) ) ( ( is ( pushing ( ( another wrestler ) ( in ( a bout ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN sumo) (NN wrestler)) (PP (IN with) (NP (DT a) (JJ brown) (NN belt)))) (VP (VBZ is) (VP (VBG pushing) (NP (NP (DT another) (NN wrestler)) (PP (IN in) (NP (DT a) (NN bout)))))) (. .))),Two sumo wrestlers compete in a match.,( ( Two ( sumo wrestlers ) ) ( ( compete ( in ( a match ) ) ) . ) ),(ROOT (S (NP (CD Two) (NN sumo) (NNS wrestlers)) (VP (VBP compete) (PP (IN in) (NP (DT a) (NN match)))) (. .))) +1203,['entailment'],2865376471.jpg#2,entailment,2865376471.jpg#2r1e,Two large dogs greet other while their owners watch.,( ( Two ( large dogs ) ) ( ( ( greet other ) ( while ( ( their owners ) watch ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ large) (NNS dogs)) (VP (VBD greet) (ADJP (JJ other)) (SBAR (IN while) (S (NP (PRP$ their) (NNS owners)) (VP (VBP watch))))) (. .))),the dogs see each other,( ( the dogs ) ( see ( each other ) ) ),(ROOT (S (NP (DT the) (NNS dogs)) (VP (VBP see) (NP (DT each) (JJ other))))) +1204,['contradiction'],2865376471.jpg#2,contradiction,2865376471.jpg#2r1c,Two large dogs greet other while their owners watch.,( ( Two ( large dogs ) ) ( ( ( greet other ) ( while ( ( their owners ) watch ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ large) (NNS dogs)) (VP (VBD greet) (ADJP (JJ other)) (SBAR (IN while) (S (NP (PRP$ their) (NNS owners)) (VP (VBP watch))))) (. .))),stray dogs are playing,( ( stray dogs ) ( are playing ) ),(ROOT (S (NP (JJ stray) (NNS dogs)) (VP (VBP are) (VP (VBG playing))))) +1205,['neutral'],2865376471.jpg#2,neutral,2865376471.jpg#2r1n,Two large dogs greet other while their owners watch.,( ( Two ( large dogs ) ) ( ( ( greet other ) ( while ( ( their owners ) watch ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ large) (NNS dogs)) (VP (VBD greet) (ADJP (JJ other)) (SBAR (IN while) (S (NP (PRP$ their) (NNS owners)) (VP (VBP watch))))) (. .))),the dogs talk in their own language,( ( the dogs ) ( talk ( in ( their ( own language ) ) ) ) ),(ROOT (S (NP (DT the) (NNS dogs)) (VP (VBP talk) (PP (IN in) (NP (PRP$ their) (JJ own) (NN language)))))) +1206,['contradiction'],4710471707.jpg#0,contradiction,4710471707.jpg#0r1c,"A man in a red and black jacket, blue shirt, lots of silver necklaces, and his blue jeans falling down, checks out a woman wearing a black leather jacket, yellow bra, pink fingerless gloves, and sunglasses.","( ( ( ( ( ( ( ( ( ( A man ) ( in ( a ( red ( and ( black jacket ) ) ) ) ) ) , ) ( blue shirt ) ) , ) ( lots ( of ( silver necklaces ) ) ) ) , ) and ) ( ( his ( blue jeans ) ) ( falling down ) ) ) ( , ( ( ( checks out ) ( ( a woman ) ( wearing ( ( ( ( ( ( ( ( a ( black ( leather jacket ) ) ) , ) ( yellow bra ) ) , ) ( pink ( fingerless gloves ) ) ) , ) and ) sunglasses ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ red) (CC and) (JJ black) (NN jacket)))) (, ,) (NP (JJ blue) (NN shirt)) (, ,) (NP (NP (NNS lots)) (PP (IN of) (NP (JJ silver) (NNS necklaces)))) (, ,) (CC and) (NP (NP (PRP$ his) (JJ blue) (NNS jeans)) (VP (VBG falling) (PRT (RP down))))) (, ,) (VP (VBZ checks) (PRT (RP out)) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (DT a) (JJ black) (NN leather) (NN jacket)) (, ,) (NP (JJ yellow) (NN bra)) (, ,) (NP (JJ pink) (NN fingerless) (NNS gloves)) (, ,) (CC and) (NP (NNS sunglasses)))))) (. .)))",A boy is playing with a toy truck.,( ( A boy ) ( ( is ( playing ( with ( a ( toy truck ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ is) (VP (VBG playing) (PP (IN with) (NP (DT a) (NN toy) (NN truck))))) (. .))) +1207,['neutral'],4710471707.jpg#0,neutral,4710471707.jpg#0r1n,"A man in a red and black jacket, blue shirt, lots of silver necklaces, and his blue jeans falling down, checks out a woman wearing a black leather jacket, yellow bra, pink fingerless gloves, and sunglasses.","( ( ( ( ( ( ( ( ( ( A man ) ( in ( a ( red ( and ( black jacket ) ) ) ) ) ) , ) ( blue shirt ) ) , ) ( lots ( of ( silver necklaces ) ) ) ) , ) and ) ( ( his ( blue jeans ) ) ( falling down ) ) ) ( , ( ( ( checks out ) ( ( a woman ) ( wearing ( ( ( ( ( ( ( ( a ( black ( leather jacket ) ) ) , ) ( yellow bra ) ) , ) ( pink ( fingerless gloves ) ) ) , ) and ) sunglasses ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ red) (CC and) (JJ black) (NN jacket)))) (, ,) (NP (JJ blue) (NN shirt)) (, ,) (NP (NP (NNS lots)) (PP (IN of) (NP (JJ silver) (NNS necklaces)))) (, ,) (CC and) (NP (NP (PRP$ his) (JJ blue) (NNS jeans)) (VP (VBG falling) (PRT (RP down))))) (, ,) (VP (VBZ checks) (PRT (RP out)) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (DT a) (JJ black) (NN leather) (NN jacket)) (, ,) (NP (JJ yellow) (NN bra)) (, ,) (NP (JJ pink) (NN fingerless) (NNS gloves)) (, ,) (CC and) (NP (NNS sunglasses)))))) (. .)))",A man is trying to impress a woman at a bar.,( ( A man ) ( ( is ( trying ( to ( ( impress ( a woman ) ) ( at ( a bar ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB impress) (NP (DT a) (NN woman)) (PP (IN at) (NP (DT a) (NN bar)))))))) (. .))) +1208,['entailment'],4710471707.jpg#0,entailment,4710471707.jpg#0r1e,"A man in a red and black jacket, blue shirt, lots of silver necklaces, and his blue jeans falling down, checks out a woman wearing a black leather jacket, yellow bra, pink fingerless gloves, and sunglasses.","( ( ( ( ( ( ( ( ( ( A man ) ( in ( a ( red ( and ( black jacket ) ) ) ) ) ) , ) ( blue shirt ) ) , ) ( lots ( of ( silver necklaces ) ) ) ) , ) and ) ( ( his ( blue jeans ) ) ( falling down ) ) ) ( , ( ( ( checks out ) ( ( a woman ) ( wearing ( ( ( ( ( ( ( ( a ( black ( leather jacket ) ) ) , ) ( yellow bra ) ) , ) ( pink ( fingerless gloves ) ) ) , ) and ) sunglasses ) ) ) ) . ) ) )","(ROOT (S (NP (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ red) (CC and) (JJ black) (NN jacket)))) (, ,) (NP (JJ blue) (NN shirt)) (, ,) (NP (NP (NNS lots)) (PP (IN of) (NP (JJ silver) (NNS necklaces)))) (, ,) (CC and) (NP (NP (PRP$ his) (JJ blue) (NNS jeans)) (VP (VBG falling) (PRT (RP down))))) (, ,) (VP (VBZ checks) (PRT (RP out)) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (DT a) (JJ black) (NN leather) (NN jacket)) (, ,) (NP (JJ yellow) (NN bra)) (, ,) (NP (JJ pink) (NN fingerless) (NNS gloves)) (, ,) (CC and) (NP (NNS sunglasses)))))) (. .)))",A man is wearing many silver necklaces.,( ( A man ) ( ( is ( wearing ( many ( silver necklaces ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG wearing) (NP (JJ many) (NN silver) (NNS necklaces)))) (. .))) +1209,['contradiction'],3678100844.jpg#4,contradiction,3678100844.jpg#4r1c,Woman with green sweater and sunglasses smiling,( ( ( Woman ( with ( green sweater ) ) ) and ) ( sunglasses smiling ) ),(ROOT (UCP (ADJP (JJ Woman) (PP (IN with) (NP (JJ green) (NN sweater)))) (CC and) (VP (ADVP (RB sunglasses)) (VBG smiling)))),A woman with blue sweater is crying.,( ( ( A woman ) ( with ( blue sweater ) ) ) ( ( is crying ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN with) (NP (JJ blue) (NN sweater)))) (VP (VBZ is) (VP (VBG crying))) (. .))) +1210,['entailment'],3678100844.jpg#4,entailment,3678100844.jpg#4r1e,Woman with green sweater and sunglasses smiling,( ( ( Woman ( with ( green sweater ) ) ) and ) ( sunglasses smiling ) ),(ROOT (UCP (ADJP (JJ Woman) (PP (IN with) (NP (JJ green) (NN sweater)))) (CC and) (VP (ADVP (RB sunglasses)) (VBG smiling)))),A woman with a green sweater has a happy expression.,( ( ( A woman ) ( with ( a ( green sweater ) ) ) ) ( ( has ( a ( happy expression ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN with) (NP (DT a) (JJ green) (NN sweater)))) (VP (VBZ has) (NP (DT a) (JJ happy) (NN expression))) (. .))) +1211,['neutral'],3678100844.jpg#4,neutral,3678100844.jpg#4r1n,Woman with green sweater and sunglasses smiling,( ( ( Woman ( with ( green sweater ) ) ) and ) ( sunglasses smiling ) ),(ROOT (UCP (ADJP (JJ Woman) (PP (IN with) (NP (JJ green) (NN sweater)))) (CC and) (VP (ADVP (RB sunglasses)) (VBG smiling)))),A woman is smiling because she just won the lottery.,( ( A woman ) ( ( is ( smiling ( because ( she ( just ( won ( the lottery ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG smiling) (SBAR (IN because) (S (NP (PRP she)) (ADVP (RB just)) (VP (VBD won) (NP (DT the) (NN lottery))))))) (. .))) +1212,['contradiction'],3678100844.jpg#3,contradiction,3678100844.jpg#3r1c,A woman with dark hair is wearing a green sweater.,( ( ( A woman ) ( with ( dark hair ) ) ) ( ( is ( wearing ( a ( green sweater ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN with) (NP (JJ dark) (NN hair)))) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ green) (NN sweater)))) (. .))),A woman is wearing a tank top.,( ( A woman ) ( ( is ( wearing ( a ( tank top ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN tank) (NN top)))) (. .))) +1213,['neutral'],3678100844.jpg#3,neutral,3678100844.jpg#3r1n,A woman with dark hair is wearing a green sweater.,( ( ( A woman ) ( with ( dark hair ) ) ) ( ( is ( wearing ( a ( green sweater ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN with) (NP (JJ dark) (NN hair)))) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ green) (NN sweater)))) (. .))),A woman with black hair is wearing a sweater.,( ( ( A woman ) ( with ( black hair ) ) ) ( ( is ( wearing ( a sweater ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN with) (NP (JJ black) (NN hair)))) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN sweater)))) (. .))) +1214,['entailment'],3678100844.jpg#3,entailment,3678100844.jpg#3r1e,A woman with dark hair is wearing a green sweater.,( ( ( A woman ) ( with ( dark hair ) ) ) ( ( is ( wearing ( a ( green sweater ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN with) (NP (JJ dark) (NN hair)))) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ green) (NN sweater)))) (. .))),A woman is there.,( ( A woman ) ( ( is there ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (ADVP (RB there))) (. .))) +1215,['entailment'],3678100844.jpg#2,entailment,3678100844.jpg#2r1e,A smiling lady in a green jacket at a public gathering.,( ( ( A ( smiling lady ) ) ( in ( ( a ( green jacket ) ) ( at ( a ( public gathering ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (VBG smiling) (NN lady)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket)) (PP (IN at) (NP (DT a) (JJ public) (NN gathering))))) (. .))),A happy woman smiling,( ( A ( happy woman ) ) smiling ),(ROOT (S (NP (NP (DT A) (JJ happy) (NN woman)) (VP (VBG smiling))))) +1216,['contradiction'],3678100844.jpg#2,contradiction,3678100844.jpg#2r1c,A smiling lady in a green jacket at a public gathering.,( ( ( A ( smiling lady ) ) ( in ( ( a ( green jacket ) ) ( at ( a ( public gathering ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (VBG smiling) (NN lady)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket)) (PP (IN at) (NP (DT a) (JJ public) (NN gathering))))) (. .))),A woman wearing a bathing suit at the beach with her friends,( A ( woman ( ( wearing ( a ( bathing suit ) ) ) ( at ( ( the beach ) ( with ( her friends ) ) ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN woman) (S (VP (VBG wearing) (NP (DT a) (NN bathing) (NN suit)) (PP (IN at) (NP (NP (DT the) (NN beach)) (PP (IN with) (NP (PRP$ her) (NNS friends)))))))))) +1217,['neutral'],3678100844.jpg#2,neutral,3678100844.jpg#2r1n,A smiling lady in a green jacket at a public gathering.,( ( ( A ( smiling lady ) ) ( in ( ( a ( green jacket ) ) ( at ( a ( public gathering ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (VBG smiling) (NN lady)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket)) (PP (IN at) (NP (DT a) (JJ public) (NN gathering))))) (. .))),A woman enjoying a gathering with her office buddies,( A ( woman ( ( enjoying ( a gathering ) ) ( with ( her ( office buddies ) ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN woman) (S (VP (VBG enjoying) (NP (DT a) (NN gathering)) (PP (IN with) (NP (PRP$ her) (NN office) (NNS buddies)))))))) +1218,['contradiction'],3678100844.jpg#1,contradiction,3678100844.jpg#1r1c,A woman in a green jacket and black sunglasses outside in a crowd.,( ( ( ( A woman ) ( in ( ( ( a ( green jacket ) ) and ) ( black sunglasses ) ) ) ) ( outside ( in ( a crowd ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket)) (CC and) (NP (JJ black) (NNS sunglasses)))) (ADVP (IN outside) (PP (IN in) (NP (DT a) (NN crowd)))) (. .))),The woman is not near anyone.,( ( The woman ) ( ( ( is not ) ( near anyone ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (RB not) (PP (IN near) (NP (NN anyone)))) (. .))) +1219,['neutral'],3678100844.jpg#1,neutral,3678100844.jpg#1r1n,A woman in a green jacket and black sunglasses outside in a crowd.,( ( ( ( A woman ) ( in ( ( ( a ( green jacket ) ) and ) ( black sunglasses ) ) ) ) ( outside ( in ( a crowd ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket)) (CC and) (NP (JJ black) (NNS sunglasses)))) (ADVP (IN outside) (PP (IN in) (NP (DT a) (NN crowd)))) (. .))),The woman needs sunglasses because it is bright.,( ( The woman ) ( ( ( needs sunglasses ) ( because ( it ( is bright ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ needs) (NP (NNS sunglasses)) (SBAR (IN because) (S (NP (PRP it)) (VP (VBZ is) (ADJP (JJ bright)))))) (. .))) +1220,['entailment'],3678100844.jpg#1,entailment,3678100844.jpg#1r1e,A woman in a green jacket and black sunglasses outside in a crowd.,( ( ( ( A woman ) ( in ( ( ( a ( green jacket ) ) and ) ( black sunglasses ) ) ) ) ( outside ( in ( a crowd ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket)) (CC and) (NP (JJ black) (NNS sunglasses)))) (ADVP (IN outside) (PP (IN in) (NP (DT a) (NN crowd)))) (. .))),A woman is outside.,( ( A woman ) ( ( is outside ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (ADVP (RB outside))) (. .))) +1221,['neutral'],3678100844.jpg#0,neutral,3678100844.jpg#0r1n,A lady with sunglasses on her head and a green sweatshirt is looking off-camera.,( ( ( A lady ) ( with ( sunglasses ( on ( ( ( her head ) and ) ( a ( green sweatshirt ) ) ) ) ) ) ) ( ( is ( looking off-camera ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN lady)) (PP (IN with) (NP (NP (NNS sunglasses)) (PP (IN on) (NP (NP (PRP$ her) (NN head)) (CC and) (NP (DT a) (JJ green) (NN sweatshirt))))))) (VP (VBZ is) (VP (VBG looking) (NP (NN off-camera)))) (. .))),A woman is taking a break from a photo shoot.,( ( A woman ) ( ( is ( ( taking ( a break ) ) ( from ( a ( photo shoot ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG taking) (NP (DT a) (NN break)) (PP (IN from) (NP (DT a) (NN photo) (NN shoot))))) (. .))) +1222,['entailment'],3678100844.jpg#0,entailment,3678100844.jpg#0r1e,A lady with sunglasses on her head and a green sweatshirt is looking off-camera.,( ( ( A lady ) ( with ( sunglasses ( on ( ( ( her head ) and ) ( a ( green sweatshirt ) ) ) ) ) ) ) ( ( is ( looking off-camera ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN lady)) (PP (IN with) (NP (NP (NNS sunglasses)) (PP (IN on) (NP (NP (PRP$ her) (NN head)) (CC and) (NP (DT a) (JJ green) (NN sweatshirt))))))) (VP (VBZ is) (VP (VBG looking) (NP (NN off-camera)))) (. .))),A woman is wearing a green sweatshirt.,( ( A woman ) ( ( is ( wearing ( a ( green sweatshirt ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ green) (NN sweatshirt)))) (. .))) +1223,['contradiction'],3678100844.jpg#0,contradiction,3678100844.jpg#0r1c,A lady with sunglasses on her head and a green sweatshirt is looking off-camera.,( ( ( A lady ) ( with ( sunglasses ( on ( ( ( her head ) and ) ( a ( green sweatshirt ) ) ) ) ) ) ) ( ( is ( looking off-camera ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN lady)) (PP (IN with) (NP (NP (NNS sunglasses)) (PP (IN on) (NP (NP (PRP$ her) (NN head)) (CC and) (NP (DT a) (JJ green) (NN sweatshirt))))))) (VP (VBZ is) (VP (VBG looking) (NP (NN off-camera)))) (. .))),A woman is wearing a maroon sweatshirt.,( ( A woman ) ( ( is ( wearing ( a ( maroon sweatshirt ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ maroon) (NN sweatshirt)))) (. .))) +1224,['entailment'],407008823.jpg#2,entailment,407008823.jpg#2r1e,A climber is making his way up a snowy mountainside.,( ( A climber ) ( ( is ( ( making ( his way ) ) ( up ( a ( snowy mountainside ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN climber)) (VP (VBZ is) (VP (VBG making) (NP (PRP$ his) (NN way)) (PP (IN up) (NP (DT a) (JJ snowy) (NN mountainside))))) (. .))),A climber is ascending,( ( A climber ) ( is ascending ) ),(ROOT (S (NP (DT A) (NN climber)) (VP (VBZ is) (VP (VBG ascending))))) +1225,['neutral'],407008823.jpg#2,neutral,407008823.jpg#2r1n,A climber is making his way up a snowy mountainside.,( ( A climber ) ( ( is ( ( making ( his way ) ) ( up ( a ( snowy mountainside ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN climber)) (VP (VBZ is) (VP (VBG making) (NP (PRP$ his) (NN way)) (PP (IN up) (NP (DT a) (JJ snowy) (NN mountainside))))) (. .))),A climber is tired,( ( A climber ) ( is tired ) ),(ROOT (S (NP (DT A) (NN climber)) (VP (VBZ is) (ADJP (JJ tired))))) +1226,['contradiction'],407008823.jpg#2,contradiction,407008823.jpg#2r1c,A climber is making his way up a snowy mountainside.,( ( A climber ) ( ( is ( ( making ( his way ) ) ( up ( a ( snowy mountainside ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN climber)) (VP (VBZ is) (VP (VBG making) (NP (PRP$ his) (NN way)) (PP (IN up) (NP (DT a) (JJ snowy) (NN mountainside))))) (. .))),A climber is at base camp,( ( A climber ) ( is ( at ( base camp ) ) ) ),(ROOT (S (NP (DT A) (NN climber)) (VP (VBZ is) (PP (IN at) (NP (NN base) (NN camp)))))) +1227,['entailment'],407008823.jpg#1,entailment,407008823.jpg#1r1e,A man dressed in snow-gear takes a leap into a snow-covered ravine.,( ( ( A man ) ( dressed ( in snow-gear ) ) ) ( ( ( takes ( a leap ) ) ( into ( a ( snow-covered ravine ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBN dressed) (PP (IN in) (NP (NN snow-gear))))) (VP (VBZ takes) (NP (DT a) (NN leap)) (PP (IN into) (NP (DT a) (JJ snow-covered) (NN ravine)))) (. .))),A man is outdoors.,( ( A man ) ( ( is outdoors ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (ADVP (RB outdoors))) (. .))) +1228,['contradiction'],407008823.jpg#1,contradiction,407008823.jpg#1r1c,A man dressed in snow-gear takes a leap into a snow-covered ravine.,( ( ( A man ) ( dressed ( in snow-gear ) ) ) ( ( ( takes ( a leap ) ) ( into ( a ( snow-covered ravine ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBN dressed) (PP (IN in) (NP (NN snow-gear))))) (VP (VBZ takes) (NP (DT a) (NN leap)) (PP (IN into) (NP (DT a) (JJ snow-covered) (NN ravine)))) (. .))),A man is indoors drinking hot chocolate.,( ( A man ) ( ( ( is indoors ) ( drinking ( hot chocolate ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (ADVP (RB indoors)) (VP (VBG drinking) (NP (JJ hot) (NN chocolate)))) (. .))) +1229,['neutral'],407008823.jpg#1,neutral,407008823.jpg#1r1n,A man dressed in snow-gear takes a leap into a snow-covered ravine.,( ( ( A man ) ( dressed ( in snow-gear ) ) ) ( ( ( takes ( a leap ) ) ( into ( a ( snow-covered ravine ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBN dressed) (PP (IN in) (NP (NN snow-gear))))) (VP (VBZ takes) (NP (DT a) (NN leap)) (PP (IN into) (NP (DT a) (JJ snow-covered) (NN ravine)))) (. .))),A guy is skiing in the Colorado mountains.,( ( A guy ) ( ( is ( skiing ( in ( the ( Colorado mountains ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN guy)) (VP (VBZ is) (VP (VBG skiing) (PP (IN in) (NP (DT the) (NNP Colorado) (NNS mountains))))) (. .))) +1230,['entailment'],407008823.jpg#0,entailment,407008823.jpg#0r1e,a lone person jumping through the air from one snowy mountain to another.,( ( ( a ( lone person ) ) ( ( jumping ( through ( the air ) ) ) ( from ( ( one ( snowy mountain ) ) ( to another ) ) ) ) ) . ),(ROOT (NP (NP (DT a) (JJ lone) (NN person)) (VP (VBG jumping) (PP (IN through) (NP (DT the) (NN air))) (PP (IN from) (NP (NP (CD one) (JJ snowy) (NN mountain)) (PP (TO to) (NP (DT another)))))) (. .))),A person jumps in the air.,( ( A person ) ( ( jumps ( in ( the air ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ jumps) (PP (IN in) (NP (DT the) (NN air)))) (. .))) +1231,['contradiction'],407008823.jpg#0,contradiction,407008823.jpg#0r1c,a lone person jumping through the air from one snowy mountain to another.,( ( ( a ( lone person ) ) ( ( jumping ( through ( the air ) ) ) ( from ( ( one ( snowy mountain ) ) ( to another ) ) ) ) ) . ),(ROOT (NP (NP (DT a) (JJ lone) (NN person)) (VP (VBG jumping) (PP (IN through) (NP (DT the) (NN air))) (PP (IN from) (NP (NP (CD one) (JJ snowy) (NN mountain)) (PP (TO to) (NP (DT another)))))) (. .))),A person sits in the snow.,( ( A person ) ( ( sits ( in ( the snow ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ sits) (PP (IN in) (NP (DT the) (NN snow)))) (. .))) +1232,['neutral'],407008823.jpg#0,neutral,407008823.jpg#0r1n,a lone person jumping through the air from one snowy mountain to another.,( ( ( a ( lone person ) ) ( ( jumping ( through ( the air ) ) ) ( from ( ( one ( snowy mountain ) ) ( to another ) ) ) ) ) . ),(ROOT (NP (NP (DT a) (JJ lone) (NN person)) (VP (VBG jumping) (PP (IN through) (NP (DT the) (NN air))) (PP (IN from) (NP (NP (CD one) (JJ snowy) (NN mountain)) (PP (TO to) (NP (DT another)))))) (. .))),A person jumps in the air to see how high they can jump.,( ( A person ) ( ( jumps ( in ( the ( air ( to ( see ( ( how high ) ( they ( can jump ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ jumps) (PP (IN in) (NP (DT the) (NN air) (S (VP (TO to) (VP (VB see) (SBAR (WHADJP (WRB how) (JJ high)) (S (NP (PRP they)) (VP (MD can) (VP (VB jump))))))))))) (. .))) +1233,['contradiction'],2897990634.jpg#0,contradiction,2897990634.jpg#0r1c,A man in shorts and a white garment stands at the base of stairs framed by black railing.,( ( ( A man ) ( in ( ( shorts and ) ( a ( white garment ) ) ) ) ) ( ( stands ( at ( ( the base ) ( of ( stairs ( framed ( by ( black railing ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NP (NNS shorts)) (CC and) (NP (DT a) (JJ white) (NN garment))))) (VP (VBZ stands) (PP (IN at) (NP (NP (DT the) (NN base)) (PP (IN of) (NP (NP (NNS stairs)) (VP (VBN framed) (PP (IN by) (NP (JJ black) (NN railing))))))))) (. .))),A woman is waiting for someone framed by white fencing.,( ( A woman ) ( ( is ( waiting ( for ( someone ( framed ( by ( white fencing ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG waiting) (PP (IN for) (NP (NP (NN someone)) (VP (VBN framed) (PP (IN by) (NP (JJ white) (NN fencing)))))))) (. .))) +1234,['neutral'],2897990634.jpg#0,neutral,2897990634.jpg#0r1n,A man in shorts and a white garment stands at the base of stairs framed by black railing.,( ( ( A man ) ( in ( ( shorts and ) ( a ( white garment ) ) ) ) ) ( ( stands ( at ( ( the base ) ( of ( stairs ( framed ( by ( black railing ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NP (NNS shorts)) (CC and) (NP (DT a) (JJ white) (NN garment))))) (VP (VBZ stands) (PP (IN at) (NP (NP (DT the) (NN base)) (PP (IN of) (NP (NP (NNS stairs)) (VP (VBN framed) (PP (IN by) (NP (JJ black) (NN railing))))))))) (. .))),A man in shorts waits for his wife at the bottom of the stairs.,( ( ( A man ) ( in shorts ) ) ( ( ( waits ( for ( his wife ) ) ) ( at ( ( the bottom ) ( of ( the stairs ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NNS shorts)))) (VP (VBZ waits) (PP (IN for) (NP (PRP$ his) (NN wife))) (PP (IN at) (NP (NP (DT the) (NN bottom)) (PP (IN of) (NP (DT the) (NNS stairs)))))) (. .))) +1235,['entailment'],2897990634.jpg#0,entailment,2897990634.jpg#0r1e,A man in shorts and a white garment stands at the base of stairs framed by black railing.,( ( ( A man ) ( in ( ( shorts and ) ( a ( white garment ) ) ) ) ) ( ( stands ( at ( ( the base ) ( of ( stairs ( framed ( by ( black railing ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NP (NNS shorts)) (CC and) (NP (DT a) (JJ white) (NN garment))))) (VP (VBZ stands) (PP (IN at) (NP (NP (DT the) (NN base)) (PP (IN of) (NP (NP (NNS stairs)) (VP (VBN framed) (PP (IN by) (NP (JJ black) (NN railing))))))))) (. .))),A man stands at the bottom of the stairs.,( ( A man ) ( ( stands ( at ( ( the bottom ) ( of ( the stairs ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ stands) (PP (IN at) (NP (NP (DT the) (NN bottom)) (PP (IN of) (NP (DT the) (NNS stairs)))))) (. .))) +1236,['contradiction'],407008823.jpg#4,contradiction,407008823.jpg#4r1c,A man doing tricks in the snow.,( ( ( A man ) ( doing ( tricks ( in ( the snow ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG doing) (NP (NP (NNS tricks)) (PP (IN in) (NP (DT the) (NN snow))))) (. .))),There is no snow where the man is,( There ( is ( ( no snow ) ( where ( ( the man ) is ) ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT no) (NN snow)) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NN man)) (VP (VBZ is)))))))) +1237,['neutral'],407008823.jpg#4,neutral,407008823.jpg#4r1n,A man doing tricks in the snow.,( ( ( A man ) ( doing ( tricks ( in ( the snow ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG doing) (NP (NP (NNS tricks)) (PP (IN in) (NP (DT the) (NN snow))))) (. .))),The man is snowboarding,( ( The man ) ( is snowboarding ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG snowboarding))))) +1238,['entailment'],407008823.jpg#4,entailment,407008823.jpg#4r1e,A man doing tricks in the snow.,( ( ( A man ) ( doing ( tricks ( in ( the snow ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG doing) (NP (NP (NNS tricks)) (PP (IN in) (NP (DT the) (NN snow))))) (. .))),The man is outside.,( ( The man ) ( ( is outside ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (ADVP (RB outside))) (. .))) +1239,['neutral'],4814923452.jpg#3,neutral,4814923452.jpg#3r1n,Two Asian people sit at a blue table in a food court.,( ( Two ( Asian people ) ) ( ( sit ( at ( ( a ( blue table ) ) ( in ( a ( food court ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ Asian) (NNS people)) (VP (VBP sit) (PP (IN at) (NP (NP (DT a) (JJ blue) (NN table)) (PP (IN in) (NP (DT a) (NN food) (NN court)))))) (. .))),Two people are eating together.,( ( Two people ) ( ( are ( eating together ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (VP (VBG eating) (ADVP (RB together)))) (. .))) +1240,['contradiction'],4814923452.jpg#3,contradiction,4814923452.jpg#3r1c,Two Asian people sit at a blue table in a food court.,( ( Two ( Asian people ) ) ( ( sit ( at ( ( a ( blue table ) ) ( in ( a ( food court ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ Asian) (NNS people)) (VP (VBP sit) (PP (IN at) (NP (NP (DT a) (JJ blue) (NN table)) (PP (IN in) (NP (DT a) (NN food) (NN court)))))) (. .))),The people are buying sunglasses.,( ( The people ) ( ( are ( buying sunglasses ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG buying) (NP (NNS sunglasses)))) (. .))) +1241,['entailment'],4814923452.jpg#3,entailment,4814923452.jpg#3r1e,Two Asian people sit at a blue table in a food court.,( ( Two ( Asian people ) ) ( ( sit ( at ( ( a ( blue table ) ) ( in ( a ( food court ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (JJ Asian) (NNS people)) (VP (VBP sit) (PP (IN at) (NP (NP (DT a) (JJ blue) (NN table)) (PP (IN in) (NP (DT a) (NN food) (NN court)))))) (. .))),Two people are seated together.,( ( Two people ) ( ( are ( seated together ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (VP (VBN seated) (ADVP (RB together)))) (. .))) +1242,['entailment'],3706019259.jpg#4,entailment,3706019259.jpg#4r1e,Indian couple holding child near riverbank.,( ( ( Indian ( couple ( holding child ) ) ) ( near riverbank ) ) . ),(ROOT (NP (NP (JJ Indian) (NN couple) (VBG holding) (NN child)) (PP (IN near) (NP (NN riverbank))) (. .))),A couple is holding a child,( ( A couple ) ( is ( holding ( a child ) ) ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ is) (VP (VBG holding) (NP (DT a) (NN child)))))) +1243,['contradiction'],3706019259.jpg#4,contradiction,3706019259.jpg#4r1c,Indian couple holding child near riverbank.,( ( ( Indian ( couple ( holding child ) ) ) ( near riverbank ) ) . ),(ROOT (NP (NP (JJ Indian) (NN couple) (VBG holding) (NN child)) (PP (IN near) (NP (NN riverbank))) (. .))),A couple is sleeping with their baby at home,( ( A couple ) ( is ( ( sleeping ( with ( their baby ) ) ) ( at home ) ) ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ is) (VP (VBG sleeping) (PP (IN with) (NP (PRP$ their) (NN baby))) (PP (IN at) (NP (NN home))))))) +1244,"['neutral', 'neutral', 'neutral', 'contradiction', 'neutral']",3706019259.jpg#4,neutral,3706019259.jpg#4r1n,Indian couple holding child near riverbank.,( ( ( Indian ( couple ( holding child ) ) ) ( near riverbank ) ) . ),(ROOT (NP (NP (JJ Indian) (NN couple) (VBG holding) (NN child)) (PP (IN near) (NP (NN riverbank))) (. .))),A couple is singing a lullaby to a baby,( ( A couple ) ( is ( ( singing ( a lullaby ) ) ( to ( a baby ) ) ) ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ is) (VP (VBG singing) (NP (DT a) (NN lullaby)) (PP (TO to) (NP (DT a) (NN baby))))))) +1245,['entailment'],3317073508.jpg#4,entailment,3317073508.jpg#4r1e,A bunch of people playing soccer.,( ( ( ( A bunch ) ( of people ) ) ( playing soccer ) ) . ),(ROOT (NP (NP (NP (DT A) (NN bunch)) (PP (IN of) (NP (NNS people)))) (VP (VBG playing) (NP (NN soccer))) (. .))),a bunch of people are playing soccer,( ( ( a bunch ) ( of people ) ) ( are ( playing soccer ) ) ),(ROOT (S (NP (NP (DT a) (NN bunch)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG playing) (NP (NN soccer)))))) +1246,['contradiction'],3317073508.jpg#4,contradiction,3317073508.jpg#4r1c,A bunch of people playing soccer.,( ( ( ( A bunch ) ( of people ) ) ( playing soccer ) ) . ),(ROOT (NP (NP (NP (DT A) (NN bunch)) (PP (IN of) (NP (NNS people)))) (VP (VBG playing) (NP (NN soccer))) (. .))),people are playing american football,( people ( are ( playing ( american football ) ) ) ),(ROOT (S (NP (NNS people)) (VP (VBP are) (VP (VBG playing) (NP (NN american) (NN football)))))) +1247,['neutral'],3317073508.jpg#4,neutral,3317073508.jpg#4r1n,A bunch of people playing soccer.,( ( ( ( A bunch ) ( of people ) ) ( playing soccer ) ) . ),(ROOT (NP (NP (NP (DT A) (NN bunch)) (PP (IN of) (NP (NNS people)))) (VP (VBG playing) (NP (NN soccer))) (. .))),people are playing soccer with no goalies,( people ( are ( ( playing soccer ) ( with ( no goalies ) ) ) ) ),(ROOT (S (NP (NNS people)) (VP (VBP are) (VP (VBG playing) (NP (NN soccer)) (PP (IN with) (NP (DT no) (NNS goalies))))))) +1248,['contradiction'],3317073508.jpg#3,contradiction,3317073508.jpg#3r1c,A soccer player jumping in air during a game.,( ( ( A ( soccer player ) ) ( ( jumping ( in air ) ) ( during ( a game ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN player)) (VP (VBG jumping) (PP (IN in) (NP (NN air))) (PP (IN during) (NP (DT a) (NN game)))) (. .))),A soccer player taking flight across the field during a game.,( ( ( A ( soccer player ) ) ( ( taking flight ) ( across ( ( the field ) ( during ( a game ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN player)) (VP (VBG taking) (NP (NN flight)) (PP (IN across) (NP (NP (DT the) (NN field)) (PP (IN during) (NP (DT a) (NN game)))))) (. .))) +1249,['neutral'],3317073508.jpg#3,neutral,3317073508.jpg#3r1n,A soccer player jumping in air during a game.,( ( ( A ( soccer player ) ) ( ( jumping ( in air ) ) ( during ( a game ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN player)) (VP (VBG jumping) (PP (IN in) (NP (NN air))) (PP (IN during) (NP (DT a) (NN game)))) (. .))),A soccer player jumping into the air during a game to avoid being hit in the face.,( ( ( A ( soccer player ) ) ( ( jumping ( into ( ( the air ) ( during ( a game ) ) ) ) ) ( to ( avoid ( being ( hit ( in ( the face ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN player)) (VP (VBG jumping) (PP (IN into) (NP (NP (DT the) (NN air)) (PP (IN during) (NP (DT a) (NN game))))) (S (VP (TO to) (VP (VB avoid) (S (VP (VBG being) (VP (VBN hit) (PP (IN in) (NP (DT the) (NN face)))))))))) (. .))) +1250,['entailment'],3317073508.jpg#3,entailment,3317073508.jpg#3r1e,A soccer player jumping in air during a game.,( ( ( A ( soccer player ) ) ( ( jumping ( in air ) ) ( during ( a game ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN player)) (VP (VBG jumping) (PP (IN in) (NP (NN air))) (PP (IN during) (NP (DT a) (NN game)))) (. .))),A soccer player jumping up while a game is in progess.,( ( ( A ( soccer player ) ) ( ( jumping up ) ( while ( ( a game ) ( is ( in progess ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN player)) (VP (VBG jumping) (PRT (RP up)) (SBAR (IN while) (S (NP (DT a) (NN game)) (VP (VBZ is) (PP (IN in) (NP (NNS progess))))))) (. .))) +1251,['neutral'],3317073508.jpg#2,neutral,3317073508.jpg#2r1n,A shot-on-goal action photo of soccer players in red and black uniforms.,( ( ( ( A ( shot-on-goal ( action photo ) ) ) ( of ( soccer players ) ) ) ( in ( red ( and ( black uniforms ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ shot-on-goal) (NN action) (NN photo)) (PP (IN of) (NP (NN soccer) (NNS players))) (PP (IN in) (NP (JJ red) (CC and) (JJ black) (NNS uniforms))) (. .))),a decisive moment in a soccer game is frozen in photo.,( ( ( a ( decisive moment ) ) ( in ( a ( soccer game ) ) ) ) ( ( is ( frozen ( in photo ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (JJ decisive) (NN moment)) (PP (IN in) (NP (DT a) (NN soccer) (NN game)))) (VP (VBZ is) (VP (VBN frozen) (PP (IN in) (NP (NN photo))))) (. .))) +1252,['contradiction'],3317073508.jpg#2,contradiction,3317073508.jpg#2r1c,A shot-on-goal action photo of soccer players in red and black uniforms.,( ( ( ( A ( shot-on-goal ( action photo ) ) ) ( of ( soccer players ) ) ) ( in ( red ( and ( black uniforms ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ shot-on-goal) (NN action) (NN photo)) (PP (IN of) (NP (NN soccer) (NNS players))) (PP (IN in) (NP (JJ red) (CC and) (JJ black) (NNS uniforms))) (. .))),a hockey player nails his first hat trick,( ( ( a hockey ) ( player nails ) ) ( his ( first ( hat trick ) ) ) ),(ROOT (NP (NP (DT a) (NN hockey)) (NP (NN player) (NNS nails)) (NP (PRP$ his) (JJ first) (NN hat) (NN trick)))) +1253,['entailment'],3317073508.jpg#2,entailment,3317073508.jpg#2r1e,A shot-on-goal action photo of soccer players in red and black uniforms.,( ( ( ( A ( shot-on-goal ( action photo ) ) ) ( of ( soccer players ) ) ) ( in ( red ( and ( black uniforms ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ shot-on-goal) (NN action) (NN photo)) (PP (IN of) (NP (NN soccer) (NNS players))) (PP (IN in) (NP (JJ red) (CC and) (JJ black) (NNS uniforms))) (. .))),a player has a penalty kick,( ( a player ) ( has ( a ( penalty kick ) ) ) ),(ROOT (S (NP (DT a) (NN player)) (VP (VBZ has) (NP (DT a) (NN penalty) (NN kick))))) +1254,['neutral'],3317073508.jpg#1,neutral,3317073508.jpg#1r1n,The red team knocked the ball toward the goal and the black team tried to block it.,( ( The ( red team ) ) ( ( knocked ( ( ( the ball ) ( toward ( ( ( the goal ) and ) ( the ( black team ) ) ) ) ) ( tried ( to ( block it ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ red) (NN team)) (VP (VBD knocked) (SBAR (S (NP (NP (DT the) (NN ball)) (PP (IN toward) (NP (NP (DT the) (NN goal)) (CC and) (NP (DT the) (JJ black) (NN team))))) (VP (VBD tried) (S (VP (TO to) (VP (VB block) (NP (PRP it))))))))) (. .))),The teams are playing soccer.,( ( The teams ) ( ( are ( playing soccer ) ) . ) ),(ROOT (S (NP (DT The) (NNS teams)) (VP (VBP are) (VP (VBG playing) (NP (NN soccer)))) (. .))) +1255,['entailment'],3317073508.jpg#1,entailment,3317073508.jpg#1r1e,The red team knocked the ball toward the goal and the black team tried to block it.,( ( The ( red team ) ) ( ( knocked ( ( ( the ball ) ( toward ( ( ( the goal ) and ) ( the ( black team ) ) ) ) ) ( tried ( to ( block it ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ red) (NN team)) (VP (VBD knocked) (SBAR (S (NP (NP (DT the) (NN ball)) (PP (IN toward) (NP (NP (DT the) (NN goal)) (CC and) (NP (DT the) (JJ black) (NN team))))) (VP (VBD tried) (S (VP (TO to) (VP (VB block) (NP (PRP it))))))))) (. .))),The red and black team are playing a game.,( ( The ( ( ( red and ) black ) team ) ) ( ( are ( playing ( a game ) ) ) . ) ),(ROOT (S (NP (DT The) (ADJP (JJ red) (CC and) (JJ black)) (NN team)) (VP (VBP are) (VP (VBG playing) (NP (DT a) (NN game)))) (. .))) +1256,['contradiction'],3317073508.jpg#1,contradiction,3317073508.jpg#1r1c,The red team knocked the ball toward the goal and the black team tried to block it.,( ( The ( red team ) ) ( ( knocked ( ( ( the ball ) ( toward ( ( ( the goal ) and ) ( the ( black team ) ) ) ) ) ( tried ( to ( block it ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ red) (NN team)) (VP (VBD knocked) (SBAR (S (NP (NP (DT the) (NN ball)) (PP (IN toward) (NP (NP (DT the) (NN goal)) (CC and) (NP (DT the) (JJ black) (NN team))))) (VP (VBD tried) (S (VP (TO to) (VP (VB block) (NP (PRP it))))))))) (. .))),The teams are in blue and orange.,( ( The teams ) ( ( ( are in ) ( ( blue and ) orange ) ) . ) ),(ROOT (S (NP (DT The) (NNS teams)) (VP (VBP are) (ADVP (RB in)) (ADJP (JJ blue) (CC and) (JJ orange))) (. .))) +1257,['entailment'],3317073508.jpg#0,entailment,3317073508.jpg#0r1e,Six soccer players on field with player in red uniform in the air and ball airborne.,( ( ( ( ( Six ( soccer players ) ) ( on field ) ) ( with player ) ) ( in ( ( red uniform ) ( in ( the ( air ( and ( ball airborne ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Six) (NN soccer) (NNS players)) (PP (IN on) (NP (NN field))) (PP (IN with) (NP (NN player))) (PP (IN in) (NP (NP (JJ red) (NN uniform)) (PP (IN in) (NP (DT the) (NN air) (CC and) (NN ball) (NN airborne))))) (. .))),People are playing soccer.,( People ( ( are ( playing soccer ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG playing) (NP (NN soccer)))) (. .))) +1258,['contradiction'],3317073508.jpg#0,contradiction,3317073508.jpg#0r1c,Six soccer players on field with player in red uniform in the air and ball airborne.,( ( ( ( ( Six ( soccer players ) ) ( on field ) ) ( with player ) ) ( in ( ( red uniform ) ( in ( the ( air ( and ( ball airborne ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Six) (NN soccer) (NNS players)) (PP (IN on) (NP (NN field))) (PP (IN with) (NP (NN player))) (PP (IN in) (NP (NP (JJ red) (NN uniform)) (PP (IN in) (NP (DT the) (NN air) (CC and) (NN ball) (NN airborne))))) (. .))),Six people are playing basketball.,( ( Six people ) ( ( are ( playing basketball ) ) . ) ),(ROOT (S (NP (CD Six) (NNS people)) (VP (VBP are) (VP (VBG playing) (NP (NN basketball)))) (. .))) +1259,['neutral'],3317073508.jpg#0,neutral,3317073508.jpg#0r1n,Six soccer players on field with player in red uniform in the air and ball airborne.,( ( ( ( ( Six ( soccer players ) ) ( on field ) ) ( with player ) ) ( in ( ( red uniform ) ( in ( the ( air ( and ( ball airborne ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Six) (NN soccer) (NNS players)) (PP (IN on) (NP (NN field))) (PP (IN with) (NP (NN player))) (PP (IN in) (NP (NP (JJ red) (NN uniform)) (PP (IN in) (NP (DT the) (NN air) (CC and) (NN ball) (NN airborne))))) (. .))),"One team is in red, the other, blue.","( ( One team ) ( ( ( ( is ( in ( ( red , ) ( the other ) ) ) ) , ) blue ) . ) )","(ROOT (S (NP (CD One) (NN team)) (VP (VBZ is) (PP (IN in) (NP (NP (NN red)) (, ,) (NP (DT the) (JJ other)))) (, ,) (ADJP (JJ blue))) (. .)))" +1260,['contradiction'],721943065.jpg#4,contradiction,721943065.jpg#4r1c,Two little kids showing their American pride in their star spangled wagon.,( ( ( Two ( little kids ) ) ( ( showing ( their ( American pride ) ) ) ( in ( their star ) ) ) ) ( ( spangled wagon ) . ) ),(ROOT (S (NP (NP (CD Two) (JJ little) (NNS kids)) (VP (VBG showing) (NP (PRP$ their) (JJ American) (NN pride)) (PP (IN in) (NP (PRP$ their) (NN star))))) (VP (VBD spangled) (NP (NN wagon))) (. .))),Two adults mix up a batch of margaritas.,( ( Two adults ) ( ( ( mix up ) ( ( a batch ) ( of margaritas ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS adults)) (VP (VB mix) (PRT (RP up)) (NP (NP (DT a) (NN batch)) (PP (IN of) (NP (NNS margaritas))))) (. .))) +1261,['neutral'],721943065.jpg#4,neutral,721943065.jpg#4r1n,Two little kids showing their American pride in their star spangled wagon.,( ( ( Two ( little kids ) ) ( ( showing ( their ( American pride ) ) ) ( in ( their star ) ) ) ) ( ( spangled wagon ) . ) ),(ROOT (S (NP (NP (CD Two) (JJ little) (NNS kids)) (VP (VBG showing) (NP (PRP$ their) (JJ American) (NN pride)) (PP (IN in) (NP (PRP$ their) (NN star))))) (VP (VBD spangled) (NP (NN wagon))) (. .))),Two kids are in a parade in a wagon wearing red white and blue,( ( Two kids ) ( are ( in ( ( a parade ) ( in ( ( a wagon ) ( wearing ( red ( ( white and ) blue ) ) ) ) ) ) ) ) ),(ROOT (S (NP (CD Two) (NNS kids)) (VP (VBP are) (PP (IN in) (NP (NP (DT a) (NN parade)) (PP (IN in) (NP (NP (DT a) (NN wagon)) (VP (VBG wearing) (NP (NP (NN red)) (ADJP (JJ white) (CC and) (JJ blue))))))))))) +1262,['entailment'],721943065.jpg#4,entailment,721943065.jpg#4r1e,Two little kids showing their American pride in their star spangled wagon.,( ( ( Two ( little kids ) ) ( ( showing ( their ( American pride ) ) ) ( in ( their star ) ) ) ) ( ( spangled wagon ) . ) ),(ROOT (S (NP (NP (CD Two) (JJ little) (NNS kids)) (VP (VBG showing) (NP (PRP$ their) (JJ American) (NN pride)) (PP (IN in) (NP (PRP$ their) (NN star))))) (VP (VBD spangled) (NP (NN wagon))) (. .))),Two kids are with a wagon.,( ( Two kids ) ( ( are ( with ( a wagon ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS kids)) (VP (VBP are) (PP (IN with) (NP (DT a) (NN wagon)))) (. .))) +1263,['contradiction'],4710471707.jpg#1,contradiction,4710471707.jpg#1r1c,"A young man in a red quilted vest displays an assortment of silver pendants around his neck as he watches a woman in a yellow bikini top, a black jacket, and bright pink fingerless gloves go by.","( ( ( ( ( ( ( A ( young man ) ) ( in ( a ( red ( quilted vest ) ) ) ) ) ( ( ( displays ( ( an assortment ) ( of ( silver pendants ) ) ) ) ( around ( his neck ) ) ) ( as ( he ( watches ( ( a woman ) ( in ( ( ( a ( yellow ( bikini top ) ) ) , ) ( a ( black jacket ) ) ) ) ) ) ) ) ) ) , ) and ) ( ( bright ( pink ( fingerless gloves ) ) ) ( go by ) ) ) . )","(ROOT (S (S (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (DT a) (JJ red) (JJ quilted) (NN vest)))) (VP (VBZ displays) (NP (NP (DT an) (NN assortment)) (PP (IN of) (NP (JJ silver) (NNS pendants)))) (PP (IN around) (NP (PRP$ his) (NN neck))) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ watches) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ yellow) (NN bikini) (NN top)) (, ,) (NP (DT a) (JJ black) (NN jacket)))))))))) (, ,) (CC and) (S (NP (JJ bright) (JJ pink) (NN fingerless) (NNS gloves)) (VP (VBP go) (PP (IN by)))) (. .)))",There is no jewelry.,( There ( ( is ( no jewelry ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (DT no) (NN jewelry))) (. .))) +1264,['entailment'],4710471707.jpg#1,entailment,4710471707.jpg#1r1e,"A young man in a red quilted vest displays an assortment of silver pendants around his neck as he watches a woman in a yellow bikini top, a black jacket, and bright pink fingerless gloves go by.","( ( ( ( ( ( ( A ( young man ) ) ( in ( a ( red ( quilted vest ) ) ) ) ) ( ( ( displays ( ( an assortment ) ( of ( silver pendants ) ) ) ) ( around ( his neck ) ) ) ( as ( he ( watches ( ( a woman ) ( in ( ( ( a ( yellow ( bikini top ) ) ) , ) ( a ( black jacket ) ) ) ) ) ) ) ) ) ) , ) and ) ( ( bright ( pink ( fingerless gloves ) ) ) ( go by ) ) ) . )","(ROOT (S (S (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (DT a) (JJ red) (JJ quilted) (NN vest)))) (VP (VBZ displays) (NP (NP (DT an) (NN assortment)) (PP (IN of) (NP (JJ silver) (NNS pendants)))) (PP (IN around) (NP (PRP$ his) (NN neck))) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ watches) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ yellow) (NN bikini) (NN top)) (, ,) (NP (DT a) (JJ black) (NN jacket)))))))))) (, ,) (CC and) (S (NP (JJ bright) (JJ pink) (NN fingerless) (NNS gloves)) (VP (VBP go) (PP (IN by)))) (. .)))",Someone is browsing jewelry.,( Someone ( ( is ( browsing jewelry ) ) . ) ),(ROOT (S (NP (NN Someone)) (VP (VBZ is) (VP (VBG browsing) (NP (NN jewelry)))) (. .))) +1265,['neutral'],4710471707.jpg#1,neutral,4710471707.jpg#1r1n,"A young man in a red quilted vest displays an assortment of silver pendants around his neck as he watches a woman in a yellow bikini top, a black jacket, and bright pink fingerless gloves go by.","( ( ( ( ( ( ( A ( young man ) ) ( in ( a ( red ( quilted vest ) ) ) ) ) ( ( ( displays ( ( an assortment ) ( of ( silver pendants ) ) ) ) ( around ( his neck ) ) ) ( as ( he ( watches ( ( a woman ) ( in ( ( ( a ( yellow ( bikini top ) ) ) , ) ( a ( black jacket ) ) ) ) ) ) ) ) ) ) , ) and ) ( ( bright ( pink ( fingerless gloves ) ) ) ( go by ) ) ) . )","(ROOT (S (S (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (DT a) (JJ red) (JJ quilted) (NN vest)))) (VP (VBZ displays) (NP (NP (DT an) (NN assortment)) (PP (IN of) (NP (JJ silver) (NNS pendants)))) (PP (IN around) (NP (PRP$ his) (NN neck))) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ watches) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ yellow) (NN bikini) (NN top)) (, ,) (NP (DT a) (JJ black) (NN jacket)))))))))) (, ,) (CC and) (S (NP (JJ bright) (JJ pink) (NN fingerless) (NNS gloves)) (VP (VBP go) (PP (IN by)))) (. .)))",The pendants have long chains.,( ( The pendants ) ( ( have ( long chains ) ) . ) ),(ROOT (S (NP (DT The) (NNS pendants)) (VP (VBP have) (NP (JJ long) (NNS chains))) (. .))) +1266,['entailment'],2447017958.jpg#4,entailment,2447017958.jpg#4r1e,Girl is blowing to a butterfly.,( Girl ( ( is ( blowing ( to ( a butterfly ) ) ) ) . ) ),(ROOT (S (NP (NNP Girl)) (VP (VBZ is) (VP (VBG blowing) (PP (TO to) (NP (DT a) (NN butterfly))))) (. .))),The girl blows a butterfly.,( ( The girl ) ( ( blows ( a butterfly ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ blows) (NP (DT a) (NN butterfly))) (. .))) +1267,['contradiction'],2447017958.jpg#4,contradiction,2447017958.jpg#4r1c,Girl is blowing to a butterfly.,( Girl ( ( is ( blowing ( to ( a butterfly ) ) ) ) . ) ),(ROOT (S (NP (NNP Girl)) (VP (VBZ is) (VP (VBG blowing) (PP (TO to) (NP (DT a) (NN butterfly))))) (. .))),The girl sneezes on a butterfly.,( ( The girl ) ( ( sneezes ( on ( a butterfly ) ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ sneezes) (PP (IN on) (NP (DT a) (NN butterfly)))) (. .))) +1268,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",2447017958.jpg#4,neutral,2447017958.jpg#4r1n,Girl is blowing to a butterfly.,( Girl ( ( is ( blowing ( to ( a butterfly ) ) ) ) . ) ),(ROOT (S (NP (NNP Girl)) (VP (VBZ is) (VP (VBG blowing) (PP (TO to) (NP (DT a) (NN butterfly))))) (. .))),The girl blows kisses to a butterfly.,( ( The girl ) ( ( ( blows kisses ) ( to ( a butterfly ) ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ blows) (NP (NNS kisses)) (PP (TO to) (NP (DT a) (NN butterfly)))) (. .))) +1269,['entailment'],560671767.jpg#2,entailment,560671767.jpg#2r1e,An elderly couple dances next to a table where a boy is sitting with his head down.,( ( An ( elderly couple ) ) ( ( dances ( next ( to ( ( a table ) ( where ( ( a boy ) ( is ( ( sitting ( with ( his head ) ) ) down ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN couple)) (VP (VBZ dances) (ADVP (JJ next) (PP (TO to) (NP (NP (DT a) (NN table)) (SBAR (WHADVP (WRB where)) (S (NP (DT a) (NN boy)) (VP (VBZ is) (VP (VBG sitting) (PP (IN with) (NP (PRP$ his) (NN head))) (ADVP (RB down)))))))))) (. .))),A young man has his head on the table.,( ( A ( young man ) ) ( ( ( has ( his head ) ) ( on ( the table ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN man)) (VP (VBZ has) (NP (PRP$ his) (NN head)) (PP (IN on) (NP (DT the) (NN table)))) (. .))) +1270,['neutral'],560671767.jpg#2,neutral,560671767.jpg#2r1n,An elderly couple dances next to a table where a boy is sitting with his head down.,( ( An ( elderly couple ) ) ( ( dances ( next ( to ( ( a table ) ( where ( ( a boy ) ( is ( ( sitting ( with ( his head ) ) ) down ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN couple)) (VP (VBZ dances) (ADVP (JJ next) (PP (TO to) (NP (NP (DT a) (NN table)) (SBAR (WHADVP (WRB where)) (S (NP (DT a) (NN boy)) (VP (VBZ is) (VP (VBG sitting) (PP (IN with) (NP (PRP$ his) (NN head))) (ADVP (RB down)))))))))) (. .))),The boy's grandparents approached and asked if he was okay.,( ( ( The ( boy 's ) ) grandparents ) ( ( ( approached and ) ( asked ( if ( he ( was okay ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN boy) (POS 's)) (NNS grandparents)) (VP (VP (VBD approached)) (CC and) (VP (VBD asked) (SBAR (IN if) (S (NP (PRP he)) (VP (VBD was) (ADJP (JJ okay))))))) (. .))) +1271,['contradiction'],560671767.jpg#2,contradiction,560671767.jpg#2r1c,An elderly couple dances next to a table where a boy is sitting with his head down.,( ( An ( elderly couple ) ) ( ( dances ( next ( to ( ( a table ) ( where ( ( a boy ) ( is ( ( sitting ( with ( his head ) ) ) down ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN couple)) (VP (VBZ dances) (ADVP (JJ next) (PP (TO to) (NP (NP (DT a) (NN table)) (SBAR (WHADVP (WRB where)) (S (NP (DT a) (NN boy)) (VP (VBZ is) (VP (VBG sitting) (PP (IN with) (NP (PRP$ his) (NN head))) (ADVP (RB down)))))))))) (. .))),A young man is playing the drums.,( ( A ( young man ) ) ( ( is ( playing ( the drums ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN man)) (VP (VBZ is) (VP (VBG playing) (NP (DT the) (NNS drums)))) (. .))) +1272,['entailment'],222759342.jpg#4,entailment,222759342.jpg#4r1e,A small girl stands among many large watermelons.,( ( A ( small girl ) ) ( ( stands ( among ( many ( large watermelons ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ small) (NN girl)) (VP (VBZ stands) (PP (IN among) (NP (JJ many) (JJ large) (NNS watermelons)))) (. .))),There is a girl standing,( There ( is ( a ( girl standing ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (DT a) (NN girl) (NN standing))))) +1273,['contradiction'],222759342.jpg#4,contradiction,222759342.jpg#4r1c,A small girl stands among many large watermelons.,( ( A ( small girl ) ) ( ( stands ( among ( many ( large watermelons ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ small) (NN girl)) (VP (VBZ stands) (PP (IN among) (NP (JJ many) (JJ large) (NNS watermelons)))) (. .))),There is a girl sitting near the watermelon,( There ( is ( ( a girl ) ( sitting ( near ( the watermelon ) ) ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN girl)) (VP (VBG sitting) (PP (IN near) (NP (DT the) (NN watermelon)))))))) +1274,['neutral'],222759342.jpg#4,neutral,222759342.jpg#4r1n,A small girl stands among many large watermelons.,( ( A ( small girl ) ) ( ( stands ( among ( many ( large watermelons ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ small) (NN girl)) (VP (VBZ stands) (PP (IN among) (NP (JJ many) (JJ large) (NNS watermelons)))) (. .))),There is a girl standing thinking about purchasing the watermelon,( There ( is ( ( a girl ) ( standing ( thinking ( about ( purchasing ( the watermelon ) ) ) ) ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN girl)) (VP (VBG standing) (S (VP (VBG thinking) (PP (IN about) (S (VP (VBG purchasing) (NP (DT the) (NN watermelon)))))))))))) +1275,['entailment'],560671767.jpg#0,entailment,560671767.jpg#0r1e,An elderly couple dance in front of a juke box while a guy in shorts sleeps at a nearby table,( ( An ( elderly couple ) ) ( ( dance ( in ( front ( of ( a ( juke box ) ) ) ) ) ) ( while ( ( ( a guy ) ( in shorts ) ) ( sleeps ( at ( a ( nearby table ) ) ) ) ) ) ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN couple)) (VP (VBP dance) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (JJ juke) (NN box))))) (SBAR (IN while) (S (NP (NP (DT a) (NN guy)) (PP (IN in) (NP (NNS shorts)))) (VP (VBZ sleeps) (PP (IN at) (NP (DT a) (JJ nearby) (NN table))))))))),An old couple dance in by a juke box while a dude wearing shorts sleeps near a table,( ( An ( old couple ) ) ( ( dance ( in ( by ( a ( juke box ) ) ) ) ) ( while ( ( ( a dude ) ( wearing shorts ) ) ( sleeps ( near ( a table ) ) ) ) ) ) ),(ROOT (S (NP (DT An) (JJ old) (NN couple)) (VP (VBP dance) (PP (IN in) (PP (IN by) (NP (DT a) (JJ juke) (NN box)))) (SBAR (IN while) (S (NP (NP (DT a) (NN dude)) (VP (VBG wearing) (NP (NNS shorts)))) (VP (VBZ sleeps) (PP (IN near) (NP (DT a) (NN table))))))))) +1276,['neutral'],560671767.jpg#0,neutral,560671767.jpg#0r1n,An elderly couple dance in front of a juke box while a guy in shorts sleeps at a nearby table,( ( An ( elderly couple ) ) ( ( dance ( in ( front ( of ( a ( juke box ) ) ) ) ) ) ( while ( ( ( a guy ) ( in shorts ) ) ( sleeps ( at ( a ( nearby table ) ) ) ) ) ) ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN couple)) (VP (VBP dance) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (JJ juke) (NN box))))) (SBAR (IN while) (S (NP (NP (DT a) (NN guy)) (PP (IN in) (NP (NNS shorts)))) (VP (VBZ sleeps) (PP (IN at) (NP (DT a) (JJ nearby) (NN table))))))))),An old couple dance next to a guy sleeping,( ( An ( old ( couple dance ) ) ) ( next ( to ( a ( guy sleeping ) ) ) ) ),(ROOT (FRAG (NP (NP (DT An) (JJ old) (NN couple) (NN dance)) (ADVP (JJ next) (PP (TO to) (NP (DT a) (NN guy) (NN sleeping))))))) +1277,['contradiction'],560671767.jpg#0,contradiction,560671767.jpg#0r1c,An elderly couple dance in front of a juke box while a guy in shorts sleeps at a nearby table,( ( An ( elderly couple ) ) ( ( dance ( in ( front ( of ( a ( juke box ) ) ) ) ) ) ( while ( ( ( a guy ) ( in shorts ) ) ( sleeps ( at ( a ( nearby table ) ) ) ) ) ) ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN couple)) (VP (VBP dance) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (JJ juke) (NN box))))) (SBAR (IN while) (S (NP (NP (DT a) (NN guy)) (PP (IN in) (NP (NNS shorts)))) (VP (VBZ sleeps) (PP (IN at) (NP (DT a) (JJ nearby) (NN table))))))))),Two cats sing karoake,( ( Two cats ) ( sing karoake ) ),(ROOT (S (NP (CD Two) (NNS cats)) (VP (VBP sing) (ADJP (JJ karoake))))) +1278,['neutral'],560671767.jpg#1,neutral,560671767.jpg#1r1n,"An elderly couple, both wearing white shirts, dancing and a young male sitting at a table.","( ( ( ( ( ( ( ( An ( elderly couple ) ) , ) ( both ( wearing ( white shirts ) ) ) ) , ) dancing ) and ) ( ( a ( young male ) ) ( sitting ( at ( a table ) ) ) ) ) . )","(ROOT (NP (NP (DT An) (JJ elderly) (NN couple)) (, ,) (S (NP (DT both)) (VP (VBG wearing) (NP (JJ white) (NNS shirts)))) (, ,) (NP (NN dancing)) (CC and) (NP (NP (DT a) (JJ young) (NN male)) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table))))) (. .)))",The couple has been together a long time.,( ( The couple ) ( ( has ( ( been together ) ( a ( long time ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN couple)) (VP (VBZ has) (VP (VBN been) (ADVP (RB together)) (NP (DT a) (JJ long) (NN time)))) (. .))) +1279,['entailment'],560671767.jpg#1,entailment,560671767.jpg#1r1e,"An elderly couple, both wearing white shirts, dancing and a young male sitting at a table.","( ( ( ( ( ( ( ( An ( elderly couple ) ) , ) ( both ( wearing ( white shirts ) ) ) ) , ) dancing ) and ) ( ( a ( young male ) ) ( sitting ( at ( a table ) ) ) ) ) . )","(ROOT (NP (NP (DT An) (JJ elderly) (NN couple)) (, ,) (S (NP (DT both)) (VP (VBG wearing) (NP (JJ white) (NNS shirts)))) (, ,) (NP (NN dancing)) (CC and) (NP (NP (DT a) (JJ young) (NN male)) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table))))) (. .)))",The couple is dancing together.,( ( The couple ) ( ( is ( dancing together ) ) . ) ),(ROOT (S (NP (DT The) (NN couple)) (VP (VBZ is) (VP (VBG dancing) (ADVP (RB together)))) (. .))) +1280,"['contradiction', 'contradiction', 'entailment', 'contradiction', 'contradiction']",560671767.jpg#1,contradiction,560671767.jpg#1r1c,"An elderly couple, both wearing white shirts, dancing and a young male sitting at a table.","( ( ( ( ( ( ( ( An ( elderly couple ) ) , ) ( both ( wearing ( white shirts ) ) ) ) , ) dancing ) and ) ( ( a ( young male ) ) ( sitting ( at ( a table ) ) ) ) ) . )","(ROOT (NP (NP (DT An) (JJ elderly) (NN couple)) (, ,) (S (NP (DT both)) (VP (VBG wearing) (NP (JJ white) (NNS shirts)))) (, ,) (NP (NN dancing)) (CC and) (NP (NP (DT a) (JJ young) (NN male)) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table))))) (. .)))",The couple is sitting with the male.,( ( The couple ) ( ( is ( sitting ( with ( the male ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN couple)) (VP (VBZ is) (VP (VBG sitting) (PP (IN with) (NP (DT the) (NN male))))) (. .))) +1281,['entailment'],222759342.jpg#1,entailment,222759342.jpg#1r1e,A child stoops to pick up a watermelon from a large pile of them.,( ( A child ) ( ( stoops ( to ( ( ( pick up ) ( a watermelon ) ) ( from ( ( a ( large pile ) ) ( of them ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ stoops) (S (VP (TO to) (VP (VB pick) (PRT (RP up)) (NP (DT a) (NN watermelon)) (PP (IN from) (NP (NP (DT a) (JJ large) (NN pile)) (PP (IN of) (NP (PRP them))))))))) (. .))),A person is near a watermelon.,( ( A person ) ( ( is ( near ( a watermelon ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (PP (IN near) (NP (DT a) (NN watermelon)))) (. .))) +1282,['neutral'],222759342.jpg#1,neutral,222759342.jpg#1r1n,A child stoops to pick up a watermelon from a large pile of them.,( ( A child ) ( ( stoops ( to ( ( ( pick up ) ( a watermelon ) ) ( from ( ( a ( large pile ) ) ( of them ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ stoops) (S (VP (TO to) (VP (VB pick) (PRT (RP up)) (NP (DT a) (NN watermelon)) (PP (IN from) (NP (NP (DT a) (JJ large) (NN pile)) (PP (IN of) (NP (PRP them))))))))) (. .))),A girl is shopping for watermelon with her parents at a farmers' market.,( ( A girl ) ( ( is ( ( shopping ( for ( watermelon ( with ( her parents ) ) ) ) ) ( at ( ( a ( farmers ' ) ) market ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBZ is) (VP (VBG shopping) (PP (IN for) (NP (NP (NN watermelon)) (PP (IN with) (NP (PRP$ her) (NNS parents))))) (PP (IN at) (NP (NP (DT a) (NNS farmers) (POS ')) (NN market))))) (. .))) +1283,['contradiction'],222759342.jpg#1,contradiction,222759342.jpg#1r1c,A child stoops to pick up a watermelon from a large pile of them.,( ( A child ) ( ( stoops ( to ( ( ( pick up ) ( a watermelon ) ) ( from ( ( a ( large pile ) ) ( of them ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ stoops) (S (VP (TO to) (VP (VB pick) (PRT (RP up)) (NP (DT a) (NN watermelon)) (PP (IN from) (NP (NP (DT a) (JJ large) (NN pile)) (PP (IN of) (NP (PRP them))))))))) (. .))),"A woman is alone, planting watermelon seeds in a garden in the spring.","( ( A woman ) ( ( ( ( is alone ) , ) ( ( planting ( watermelon seeds ) ) ( in ( ( a garden ) ( in ( the spring ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (ADJP (RB alone)) (, ,) (S (VP (VBG planting) (NP (NN watermelon) (NNS seeds)) (PP (IN in) (NP (NP (DT a) (NN garden)) (PP (IN in) (NP (DT the) (NN spring)))))))) (. .)))" +1284,['entailment'],222759342.jpg#0,entailment,222759342.jpg#0r1e,A small girl dressed in a yellow dress with flowers on it bends over near a large pile of watermelons.,( ( A ( small girl ) ) ( ( ( dressed ( in ( ( a ( yellow dress ) ) ( with flowers ) ) ) ) ( on ( it ( ( bends over ) ( near ( ( a ( large pile ) ) ( of watermelons ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ small) (NN girl)) (VP (VBD dressed) (PP (IN in) (NP (NP (DT a) (JJ yellow) (NN dress)) (PP (IN with) (NP (NNS flowers))))) (PP (IN on) (S (NP (PRP it)) (VP (VBG bends) (PRT (RP over)) (PP (IN near) (NP (NP (DT a) (JJ large) (NN pile)) (PP (IN of) (NP (NNS watermelons))))))))) (. .))),The girl is under the age of 88 years old.,( ( The girl ) ( ( ( is ( under ( ( the age ) ( of ( 88 years ) ) ) ) ) old ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (PP (IN under) (NP (NP (DT the) (NN age)) (PP (IN of) (NP (CD 88) (NNS years))))) (ADJP (JJ old))) (. .))) +1285,['contradiction'],222759342.jpg#0,contradiction,222759342.jpg#0r1c,A small girl dressed in a yellow dress with flowers on it bends over near a large pile of watermelons.,( ( A ( small girl ) ) ( ( ( dressed ( in ( ( a ( yellow dress ) ) ( with flowers ) ) ) ) ( on ( it ( ( bends over ) ( near ( ( a ( large pile ) ) ( of watermelons ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ small) (NN girl)) (VP (VBD dressed) (PP (IN in) (NP (NP (DT a) (JJ yellow) (NN dress)) (PP (IN with) (NP (NNS flowers))))) (PP (IN on) (S (NP (PRP it)) (VP (VBG bends) (PRT (RP over)) (PP (IN near) (NP (NP (DT a) (JJ large) (NN pile)) (PP (IN of) (NP (NNS watermelons))))))))) (. .))),The girl is alone and asleep in her bedroom.,( ( The girl ) ( ( is ( ( ( alone and ) asleep ) ( in ( her bedroom ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (ADJP (RB alone) (CC and) (RB asleep) (PP (IN in) (NP (PRP$ her) (NN bedroom))))) (. .))) +1286,['neutral'],222759342.jpg#0,neutral,222759342.jpg#0r1n,A small girl dressed in a yellow dress with flowers on it bends over near a large pile of watermelons.,( ( A ( small girl ) ) ( ( ( dressed ( in ( ( a ( yellow dress ) ) ( with flowers ) ) ) ) ( on ( it ( ( bends over ) ( near ( ( a ( large pile ) ) ( of watermelons ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ small) (NN girl)) (VP (VBD dressed) (PP (IN in) (NP (NP (DT a) (JJ yellow) (NN dress)) (PP (IN with) (NP (NNS flowers))))) (PP (IN on) (S (NP (PRP it)) (VP (VBG bends) (PRT (RP over)) (PP (IN near) (NP (NP (DT a) (JJ large) (NN pile)) (PP (IN of) (NP (NNS watermelons))))))))) (. .))),The girl is wearing yellow shoes.,( ( The girl ) ( ( is ( wearing ( yellow shoes ) ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (VP (VBG wearing) (NP (JJ yellow) (NNS shoes)))) (. .))) +1287,['neutral'],222759342.jpg#3,neutral,222759342.jpg#3r1n,A little girl picking up a watermelon from a pile.,( ( ( A ( little girl ) ) ( ( ( picking up ) ( a watermelon ) ) ( from ( a pile ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ little) (NN girl)) (VP (VBG picking) (PRT (RP up)) (NP (DT a) (NN watermelon)) (PP (IN from) (NP (DT a) (NN pile)))) (. .))),A girl is buying a watermelon.,( ( A girl ) ( ( is ( buying ( a watermelon ) ) ) . ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBZ is) (VP (VBG buying) (NP (DT a) (NN watermelon)))) (. .))) +1288,['contradiction'],222759342.jpg#3,contradiction,222759342.jpg#3r1c,A little girl picking up a watermelon from a pile.,( ( ( A ( little girl ) ) ( ( ( picking up ) ( a watermelon ) ) ( from ( a pile ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ little) (NN girl)) (VP (VBG picking) (PRT (RP up)) (NP (DT a) (NN watermelon)) (PP (IN from) (NP (DT a) (NN pile)))) (. .))),A girl is picking up an orange.,( ( A girl ) ( ( is ( ( picking up ) ( an orange ) ) ) . ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBZ is) (VP (VBG picking) (PRT (RP up)) (NP (DT an) (NN orange)))) (. .))) +1289,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",222759342.jpg#3,entailment,222759342.jpg#3r1e,A little girl picking up a watermelon from a pile.,( ( ( A ( little girl ) ) ( ( ( picking up ) ( a watermelon ) ) ( from ( a pile ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ little) (NN girl)) (VP (VBG picking) (PRT (RP up)) (NP (DT a) (NN watermelon)) (PP (IN from) (NP (DT a) (NN pile)))) (. .))),A girl is picking an item up.,( ( A girl ) ( ( is ( ( picking ( an item ) ) up ) ) . ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBZ is) (VP (VBG picking) (NP (DT an) (NN item)) (PRT (RP up)))) (. .))) +1290,['entailment'],222759342.jpg#2,entailment,222759342.jpg#2r1e,a young girl in a flowery dress surrounded by watermelons,( ( a ( young girl ) ) ( in ( ( a ( flowery dress ) ) ( surrounded ( by watermelons ) ) ) ) ),(ROOT (NP (NP (DT a) (JJ young) (NN girl)) (PP (IN in) (NP (NP (DT a) (JJ flowery) (NN dress)) (VP (VBN surrounded) (PP (IN by) (NP (NNS watermelons)))))))),There is a lot of fruit.,( There ( ( is ( ( a lot ) ( of fruit ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN lot)) (PP (IN of) (NP (NN fruit))))) (. .))) +1291,['neutral'],222759342.jpg#2,neutral,222759342.jpg#2r1n,a young girl in a flowery dress surrounded by watermelons,( ( a ( young girl ) ) ( in ( ( a ( flowery dress ) ) ( surrounded ( by watermelons ) ) ) ) ),(ROOT (NP (NP (DT a) (JJ young) (NN girl)) (PP (IN in) (NP (NP (DT a) (JJ flowery) (NN dress)) (VP (VBN surrounded) (PP (IN by) (NP (NNS watermelons)))))))),There are some citrus fruit.,( There ( ( are ( some ( citrus fruit ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (DT some) (JJ citrus) (NN fruit))) (. .))) +1292,['contradiction'],222759342.jpg#2,contradiction,222759342.jpg#2r1c,a young girl in a flowery dress surrounded by watermelons,( ( a ( young girl ) ) ( in ( ( a ( flowery dress ) ) ( surrounded ( by watermelons ) ) ) ) ),(ROOT (NP (NP (DT a) (JJ young) (NN girl)) (PP (IN in) (NP (NP (DT a) (JJ flowery) (NN dress)) (VP (VBN surrounded) (PP (IN by) (NP (NNS watermelons)))))))),There are only potatoes.,( There ( ( are ( only potatoes ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (JJ only) (NNS potatoes))) (. .))) +1293,['entailment'],15085612.jpg#4,entailment,15085612.jpg#4r1e,A man in a blue jacket screaming.,( ( ( ( A man ) ( in ( a ( blue jacket ) ) ) ) screaming ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ blue) (NN jacket)))) (VP (VBG screaming)) (. .))),A man is making a loud noise.,( ( A man ) ( ( is ( making ( a ( loud noise ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG making) (NP (DT a) (JJ loud) (NN noise)))) (. .))) +1294,['neutral'],15085612.jpg#4,neutral,15085612.jpg#4r1n,A man in a blue jacket screaming.,( ( ( ( A man ) ( in ( a ( blue jacket ) ) ) ) screaming ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ blue) (NN jacket)))) (VP (VBG screaming)) (. .))),A man is scared.,( ( A man ) ( ( is scared ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (ADJP (VBN scared))) (. .))) +1295,['contradiction'],15085612.jpg#4,contradiction,15085612.jpg#4r1c,A man in a blue jacket screaming.,( ( ( ( A man ) ( in ( a ( blue jacket ) ) ) ) screaming ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ blue) (NN jacket)))) (VP (VBG screaming)) (. .))),A man is whispering.,( ( A man ) ( ( is whispering ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG whispering))) (. .))) +1296,['neutral'],2386366490.jpg#4,neutral,2386366490.jpg#4r1n,Children playing a game in a field.,( ( Children ( playing ( ( a game ) ( in ( a field ) ) ) ) ) . ),(ROOT (NP (NP (NNS Children)) (VP (VBG playing) (NP (NP (DT a) (NN game)) (PP (IN in) (NP (DT a) (NN field))))) (. .))),Children are competing for a reward.,( Children ( ( are ( competing ( for ( a reward ) ) ) ) . ) ),(ROOT (S (NP (NNP Children)) (VP (VBP are) (VP (VBG competing) (PP (IN for) (NP (DT a) (NN reward))))) (. .))) +1297,['contradiction'],2386366490.jpg#4,contradiction,2386366490.jpg#4r1c,Children playing a game in a field.,( ( Children ( playing ( ( a game ) ( in ( a field ) ) ) ) ) . ),(ROOT (NP (NP (NNS Children)) (VP (VBG playing) (NP (NP (DT a) (NN game)) (PP (IN in) (NP (DT a) (NN field))))) (. .))),Adults playing a game.,( ( Adults ( playing ( a game ) ) ) . ),(ROOT (NP (NP (NNS Adults)) (VP (VBG playing) (NP (DT a) (NN game))) (. .))) +1298,['entailment'],2386366490.jpg#4,entailment,2386366490.jpg#4r1e,Children playing a game in a field.,( ( Children ( playing ( ( a game ) ( in ( a field ) ) ) ) ) . ),(ROOT (NP (NP (NNS Children)) (VP (VBG playing) (NP (NP (DT a) (NN game)) (PP (IN in) (NP (DT a) (NN field))))) (. .))),Children playing a game.,( ( Children ( playing ( a game ) ) ) . ),(ROOT (NP (NP (NNS Children)) (VP (VBG playing) (NP (DT a) (NN game))) (. .))) +1299,['entailment'],756521713.jpg#2,entailment,756521713.jpg#2r1e,A seated woman with short hair and a camera throws a Frisbee to a brown dog.,( ( ( A ( seated woman ) ) ( with ( ( ( short hair ) and ) ( a camera ) ) ) ) ( ( ( throws ( a Frisbee ) ) ( to ( a ( brown dog ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ seated) (NN woman)) (PP (IN with) (NP (NP (JJ short) (NN hair)) (CC and) (NP (DT a) (NN camera))))) (VP (VBZ throws) (NP (DT a) (NNP Frisbee)) (PP (TO to) (NP (DT a) (JJ brown) (NN dog)))) (. .))),The woman throws a Frisbee to the dog.,( ( The woman ) ( ( ( throws ( a Frisbee ) ) ( to ( the dog ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ throws) (NP (DT a) (NNP Frisbee)) (PP (TO to) (NP (DT the) (NN dog)))) (. .))) +1300,['contradiction'],756521713.jpg#2,contradiction,756521713.jpg#2r1c,A seated woman with short hair and a camera throws a Frisbee to a brown dog.,( ( ( A ( seated woman ) ) ( with ( ( ( short hair ) and ) ( a camera ) ) ) ) ( ( ( throws ( a Frisbee ) ) ( to ( a ( brown dog ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ seated) (NN woman)) (PP (IN with) (NP (NP (JJ short) (NN hair)) (CC and) (NP (DT a) (NN camera))))) (VP (VBZ throws) (NP (DT a) (NNP Frisbee)) (PP (TO to) (NP (DT a) (JJ brown) (NN dog)))) (. .))),The woman is chasing the dog that took her camera.,( ( The woman ) ( ( is ( chasing ( ( the dog ) ( that ( took ( her camera ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG chasing) (NP (NP (DT the) (NN dog)) (SBAR (WHNP (WDT that)) (S (VP (VBD took) (NP (PRP$ her) (NN camera)))))))) (. .))) +1301,['neutral'],756521713.jpg#2,neutral,756521713.jpg#2r1n,A seated woman with short hair and a camera throws a Frisbee to a brown dog.,( ( ( A ( seated woman ) ) ( with ( ( ( short hair ) and ) ( a camera ) ) ) ) ( ( ( throws ( a Frisbee ) ) ( to ( a ( brown dog ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ seated) (NN woman)) (PP (IN with) (NP (NP (JJ short) (NN hair)) (CC and) (NP (DT a) (NN camera))))) (VP (VBZ throws) (NP (DT a) (NNP Frisbee)) (PP (TO to) (NP (DT a) (JJ brown) (NN dog)))) (. .))),A woman throws a disc to a dog and gets ready to take a picture.,( ( A woman ) ( ( ( ( ( throws ( a disc ) ) ( to ( a dog ) ) ) and ) ( gets ( ready ( to ( take ( a picture ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VP (VBZ throws) (NP (DT a) (NN disc)) (PP (TO to) (NP (DT a) (NN dog)))) (CC and) (VP (VBZ gets) (ADJP (JJ ready) (S (VP (TO to) (VP (VB take) (NP (DT a) (NN picture)))))))) (. .))) +1302,['entailment'],4678920190.jpg#2,entailment,4678920190.jpg#2r2e,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),People are in the street.,( People ( ( are ( in ( the street ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (PP (IN in) (NP (DT the) (NN street)))) (. .))) +1303,['contradiction'],4678920190.jpg#2,contradiction,4678920190.jpg#2r3c,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),The Asian city is full of fields.,( ( The ( Asian city ) ) ( ( is ( full ( of fields ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ Asian) (NN city)) (VP (VBZ is) (ADJP (JJ full) (PP (IN of) (NP (NNS fields))))) (. .))) +1304,['entailment'],4678920190.jpg#2,entailment,4678920190.jpg#2r3e,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),The Asian city is full of sights.,( ( The ( Asian city ) ) ( ( is ( full ( of sights ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ Asian) (NN city)) (VP (VBZ is) (ADJP (JJ full) (PP (IN of) (NP (NNS sights))))) (. .))) +1305,['neutral'],4678920190.jpg#2,neutral,4678920190.jpg#2r2n,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),The scene is in the evening.,( ( The scene ) ( ( is ( in ( the evening ) ) ) . ) ),(ROOT (S (NP (DT The) (NN scene)) (VP (VBZ is) (PP (IN in) (NP (DT the) (NN evening)))) (. .))) +1306,['contradiction'],4678920190.jpg#2,contradiction,4678920190.jpg#2r4c,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),People are in the street in Toronto.,( People ( ( are ( in ( ( the street ) ( in Toronto ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (PP (IN in) (NP (NP (DT the) (NN street)) (PP (IN in) (NP (NNP Toronto)))))) (. .))) +1307,['neutral'],4678920190.jpg#2,neutral,4678920190.jpg#2r3n,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),The Asian city is full of tourists.,( ( The ( Asian city ) ) ( ( is ( full ( of tourists ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ Asian) (NN city)) (VP (VBZ is) (ADJP (JJ full) (PP (IN of) (NP (NNS tourists))))) (. .))) +1308,['neutral'],4678920190.jpg#2,neutral,4678920190.jpg#2r1n,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),City people hanging out,( ( City people ) ( hanging out ) ),(ROOT (NP (S (NP (NNP City) (NNS people)) (VP (VBG hanging) (PRT (RP out)))))) +1309,['entailment'],4678920190.jpg#2,entailment,4678920190.jpg#2r1e,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),City people in street,( City ( people ( in street ) ) ),(ROOT (NP (NP (NNP City)) (NP (NP (NNS people)) (PP (IN in) (NP (NN street)))))) +1310,['contradiction'],4678920190.jpg#2,contradiction,4678920190.jpg#2r5c,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),A group of people are sitting in a field,( ( ( A group ) ( of people ) ) ( are ( sitting ( in ( a field ) ) ) ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG sitting) (PP (IN in) (NP (DT a) (NN field))))))) +1311,['entailment'],4678920190.jpg#2,entailment,4678920190.jpg#2r4e,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),There are people in an urban area.,( There ( ( are ( people ( in ( an ( urban area ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (PP (IN in) (NP (DT an) (JJ urban) (NN area))))) (. .))) +1312,['entailment'],4678920190.jpg#2,entailment,4678920190.jpg#2r5e,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),There are people in front of buildings that are brightly lit.,( There ( ( are ( people ( in ( front ( of ( buildings ( that ( are ( brightly lit ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (NP (NNS buildings)) (SBAR (WHNP (WDT that)) (S (VP (VBP are) (ADJP (RB brightly) (VBN lit))))))))))) (. .))) +1313,['contradiction'],4678920190.jpg#2,contradiction,4678920190.jpg#2r1c,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),City streetwalkers,( City streetwalkers ),(ROOT (NP (NNP City) (NNS streetwalkers))) +1314,['neutral'],4678920190.jpg#2,neutral,4678920190.jpg#2r4n,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),There is a group of people in Seoul at night.,( There ( ( is ( ( a group ) ( of ( people ( in ( Seoul ( at night ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN group)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NNP Seoul)) (PP (IN at) (NP (NN night))))))))) (. .))) +1315,['neutral'],4678920190.jpg#2,neutral,4678920190.jpg#2r5n,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),Some people are posing for a picture,( ( Some people ) ( are ( posing ( for ( a picture ) ) ) ) ),(ROOT (S (NP (DT Some) (NNS people)) (VP (VBP are) (VP (VBG posing) (PP (IN for) (NP (DT a) (NN picture))))))) +1316,['contradiction'],4678920190.jpg#2,contradiction,4678920190.jpg#2r2c,Asian city scene of people in street with bright lights and glass buildings behind.,( ( ( ( Asian ( city scene ) ) ( of ( people ( in ( street ( with ( bright ( lights ( and ( glass buildings ) ) ) ) ) ) ) ) ) ) behind ) . ),(ROOT (NP (NP (JJ Asian) (NN city) (NN scene)) (PP (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (NP (NN street)) (PP (IN with) (NP (JJ bright) (NNS lights) (CC and) (NN glass) (NNS buildings))))))) (ADVP (RB behind)) (. .))),It is an American city.,( It ( ( is ( an ( American city ) ) ) . ) ),(ROOT (S (NP (PRP It)) (VP (VBZ is) (NP (DT an) (JJ American) (NN city))) (. .))) +1317,['contradiction'],3616927733.jpg#0,contradiction,3616927733.jpg#0r1c,A man is painting a portrait of an outside scene that includes a street sign with a bicycle chained to it.,( ( A man ) ( ( is ( painting ( ( a portrait ) ( of ( ( an ( outside scene ) ) ( that ( ( includes ( ( a ( street sign ) ) ( with ( a ( bicycle chained ) ) ) ) ) ( to it ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG painting) (NP (NP (DT a) (NN portrait)) (PP (IN of) (NP (NP (DT an) (JJ outside) (NN scene)) (SBAR (WHNP (WDT that)) (S (VP (VBZ includes) (NP (NP (DT a) (NN street) (NN sign)) (PP (IN with) (NP (DT a) (NN bicycle) (NN chained)))) (PP (TO to) (NP (PRP it))))))))))) (. .))),A woman is drawing a microorganism.,( ( A woman ) ( ( is ( drawing ( a microorganism ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG drawing) (NP (DT a) (NN microorganism)))) (. .))) +1318,['entailment'],3616927733.jpg#0,entailment,3616927733.jpg#0r1e,A man is painting a portrait of an outside scene that includes a street sign with a bicycle chained to it.,( ( A man ) ( ( is ( painting ( ( a portrait ) ( of ( ( an ( outside scene ) ) ( that ( ( includes ( ( a ( street sign ) ) ( with ( a ( bicycle chained ) ) ) ) ) ( to it ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG painting) (NP (NP (DT a) (NN portrait)) (PP (IN of) (NP (NP (DT an) (JJ outside) (NN scene)) (SBAR (WHNP (WDT that)) (S (VP (VBZ includes) (NP (NP (DT a) (NN street) (NN sign)) (PP (IN with) (NP (DT a) (NN bicycle) (NN chained)))) (PP (TO to) (NP (PRP it))))))))))) (. .))),A man is painting a landscape of an outdoors area.,( ( A man ) ( ( is ( painting ( ( a landscape ) ( of ( an ( outdoors area ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG painting) (NP (NP (DT a) (NN landscape)) (PP (IN of) (NP (DT an) (JJ outdoors) (NN area)))))) (. .))) +1319,['neutral'],3616927733.jpg#0,neutral,3616927733.jpg#0r1n,A man is painting a portrait of an outside scene that includes a street sign with a bicycle chained to it.,( ( A man ) ( ( is ( painting ( ( a portrait ) ( of ( ( an ( outside scene ) ) ( that ( ( includes ( ( a ( street sign ) ) ( with ( a ( bicycle chained ) ) ) ) ) ( to it ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG painting) (NP (NP (DT a) (NN portrait)) (PP (IN of) (NP (NP (DT an) (JJ outside) (NN scene)) (SBAR (WHNP (WDT that)) (S (VP (VBZ includes) (NP (NP (DT a) (NN street) (NN sign)) (PP (IN with) (NP (DT a) (NN bicycle) (NN chained)))) (PP (TO to) (NP (PRP it))))))))))) (. .))),A man is painting a landscape of a city.,( ( A man ) ( ( is ( painting ( ( a landscape ) ( of ( a city ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG painting) (NP (NP (DT a) (NN landscape)) (PP (IN of) (NP (DT a) (NN city)))))) (. .))) +1320,"['neutral', 'neutral', 'contradiction', 'neutral', 'neutral']",3616927733.jpg#3,neutral,3616927733.jpg#3r1n,An older man stands on the sidewalk painting the view.,( ( An ( older man ) ) ( ( stands ( on ( ( the sidewalk ) ( painting ( the view ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN man)) (VP (VBZ stands) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (VP (VBG painting) (NP (DT the) (NN view)))))) (. .))),The old man will sell his painting.,( ( The ( old man ) ) ( ( will ( sell ( his painting ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ old) (NN man)) (VP (MD will) (VP (VB sell) (NP (PRP$ his) (NN painting)))) (. .))) +1321,['contradiction'],3616927733.jpg#3,contradiction,3616927733.jpg#3r1c,An older man stands on the sidewalk painting the view.,( ( An ( older man ) ) ( ( stands ( on ( ( the sidewalk ) ( painting ( the view ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN man)) (VP (VBZ stands) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (VP (VBG painting) (NP (DT the) (NN view)))))) (. .))),The old man is painting a view of a bathroom.,( ( The ( old man ) ) ( ( is ( painting ( ( a view ) ( of ( a bathroom ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ old) (NN man)) (VP (VBZ is) (VP (VBG painting) (NP (NP (DT a) (NN view)) (PP (IN of) (NP (DT a) (NN bathroom)))))) (. .))) +1322,['entailment'],3616927733.jpg#3,entailment,3616927733.jpg#3r1e,An older man stands on the sidewalk painting the view.,( ( An ( older man ) ) ( ( stands ( on ( ( the sidewalk ) ( painting ( the view ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN man)) (VP (VBZ stands) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (VP (VBG painting) (NP (DT the) (NN view)))))) (. .))),The old man is painting a portrait.,( ( The ( old man ) ) ( ( is ( painting ( a portrait ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ old) (NN man)) (VP (VBZ is) (VP (VBG painting) (NP (DT a) (NN portrait)))) (. .))) +1323,['neutral'],4678920190.jpg#1,neutral,4678920190.jpg#1r3n,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",The crowded street on New Years Eve.,( ( ( The ( crowded street ) ) ( on ( New ( Years Eve ) ) ) ) . ),(ROOT (NP (NP (DT The) (JJ crowded) (NN street)) (PP (IN on) (NP (NNP New) (NNP Years) (NNP Eve))) (. .))) +1324,['contradiction'],4678920190.jpg#1,contradiction,4678920190.jpg#1r5c,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",The street is empty.,( ( The street ) ( ( is empty ) . ) ),(ROOT (S (NP (DT The) (NN street)) (VP (VBZ is) (ADJP (JJ empty))) (. .))) +1325,['entailment'],4678920190.jpg#1,entailment,4678920190.jpg#1r3e,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",The buildings are tall.,( ( The buildings ) ( ( are tall ) . ) ),(ROOT (S (NP (DT The) (NNS buildings)) (VP (VBP are) (ADJP (JJ tall))) (. .))) +1326,['neutral'],4678920190.jpg#1,neutral,4678920190.jpg#1r5n,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",It is the afternoon.,( It ( ( is ( the afternoon ) ) . ) ),(ROOT (S (NP (PRP It)) (VP (VBZ is) (NP (DT the) (NN afternoon))) (. .))) +1327,['contradiction'],4678920190.jpg#1,contradiction,4678920190.jpg#1r4c,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",Nobody is on the street in Asia.,( Nobody ( ( is ( on ( ( the street ) ( in Asia ) ) ) ) . ) ),(ROOT (S (NP (NN Nobody)) (VP (VBZ is) (PP (IN on) (NP (NP (DT the) (NN street)) (PP (IN in) (NP (NNP Asia)))))) (. .))) +1328,['contradiction'],4678920190.jpg#1,contradiction,4678920190.jpg#1r3c,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",The crowds are at an indoor swimming meet.,( ( The crowds ) ( ( ( are ( at ( an ( indoor swimming ) ) ) ) meet ) . ) ),(ROOT (S (NP (DT The) (NNS crowds)) (VP (VBP are) (PP (IN at) (NP (DT an) (JJ indoor) (NN swimming))) (S (VP (VB meet)))) (. .))) +1329,['entailment'],4678920190.jpg#1,entailment,4678920190.jpg#1r5e,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",The Seiko building is large.,( ( The ( Seiko building ) ) ( ( is large ) . ) ),(ROOT (S (NP (DT The) (NNP Seiko) (NN building)) (VP (VBZ is) (ADJP (JJ large))) (. .))) +1330,['entailment'],4678920190.jpg#1,entailment,4678920190.jpg#1r2e,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",lots of people are in the street,( ( lots ( of people ) ) ( are ( in ( the street ) ) ) ),(ROOT (S (NP (NP (NNS lots)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (PP (IN in) (NP (DT the) (NN street)))))) +1331,['contradiction'],4678920190.jpg#1,contradiction,4678920190.jpg#1r2c,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",there was a storm so nobody went outside,( there ( ( was ( a storm ) ) ( so ( nobody ( went outside ) ) ) ) ),(ROOT (S (NP (EX there)) (VP (VBD was) (NP (DT a) (NN storm)) (SBAR (IN so) (S (NP (NN nobody)) (VP (VBD went) (ADVP (RB outside)))))))) +1332,['entailment'],4678920190.jpg#1,entailment,4678920190.jpg#1r1e,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",There is a crowded street.,( There ( ( is ( a ( crowded street ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (DT a) (JJ crowded) (NN street))) (. .))) +1333,['neutral'],4678920190.jpg#1,neutral,4678920190.jpg#1r4n,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",A crowded street in Asia has tall buildings.,( ( ( A ( crowded street ) ) ( in Asia ) ) ( ( has ( tall buildings ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ crowded) (NN street)) (PP (IN in) (NP (NNP Asia)))) (VP (VBZ has) (NP (JJ tall) (NNS buildings))) (. .))) +1334,['neutral'],4678920190.jpg#1,neutral,4678920190.jpg#1r1n,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",A crowded street in china where there are lots of buildings.,( ( ( A ( crowded street ) ) ( in ( china ( where ( there ( are ( lots ( of buildings ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ crowded) (NN street)) (PP (IN in) (NP (NP (NN china)) (SBAR (WHADVP (WRB where)) (S (NP (EX there)) (VP (VBP are) (NP (NP (NNS lots)) (PP (IN of) (NP (NNS buildings))))))))) (. .))) +1335,['entailment'],4678920190.jpg#1,entailment,4678920190.jpg#1r4e,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",A crowded street in Asia.,( ( ( A ( crowded street ) ) ( in Asia ) ) . ),(ROOT (NP (NP (DT A) (JJ crowded) (NN street)) (PP (IN in) (NP (NNP Asia))) (. .))) +1336,['neutral'],4678920190.jpg#1,neutral,4678920190.jpg#1r2n,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",its rush hour in a big city,( ( its ( rush hour ) ) ( in ( a ( big city ) ) ) ),(ROOT (NP (NP (PRP$ its) (NN rush) (NN hour)) (PP (IN in) (NP (DT a) (JJ big) (NN city))))) +1337,['contradiction'],4678920190.jpg#1,contradiction,4678920190.jpg#1r1c,"A crowded street, in an Asian country, where the buildings are dominated by the Seiko building.","( ( A ( crowded street ) ) ( , ( ( in ( an ( Asian country ) ) ) ( , ( ( where ( ( the buildings ) ( are ( dominated ( by ( the ( Seiko building ) ) ) ) ) ) ) . ) ) ) ) )","(ROOT (FRAG (NP (DT A) (JJ crowded) (NN street)) (, ,) (PP (IN in) (NP (DT an) (JJ Asian) (NN country))) (, ,) (SBAR (WHADVP (WRB where)) (S (NP (DT the) (NNS buildings)) (VP (VBP are) (VP (VBN dominated) (PP (IN by) (NP (DT the) (NNP Seiko) (NN building))))))) (. .)))",A crowded street in America.,( ( ( A ( crowded street ) ) ( in America ) ) . ),(ROOT (NP (NP (DT A) (JJ crowded) (NN street)) (PP (IN in) (NP (NNP America))) (. .))) +1338,['neutral'],4170936558.jpg#1,neutral,4170936558.jpg#1r1n,A small boy has gotten into the cabinet and gotten flour and crisco all over himself.,( ( A ( small boy ) ) ( ( has ( ( ( gotten ( into ( the cabinet ) ) ) and ) ( ( gotten ( ( flour and ) crisco ) ) ( all ( over himself ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ small) (NN boy)) (VP (VBZ has) (VP (VP (VBN gotten) (PP (IN into) (NP (DT the) (NN cabinet)))) (CC and) (VP (VBN gotten) (NP (NN flour) (CC and) (NN crisco)) (NP (NP (DT all)) (PP (IN over) (NP (PRP himself))))))) (. .))),The boy is trying to make cookies.,( ( The boy ) ( ( is ( trying ( to ( make cookies ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB make) (NP (NNS cookies))))))) (. .))) +1339,['contradiction'],4170936558.jpg#1,contradiction,4170936558.jpg#1r1c,A small boy has gotten into the cabinet and gotten flour and crisco all over himself.,( ( A ( small boy ) ) ( ( has ( ( ( gotten ( into ( the cabinet ) ) ) and ) ( ( gotten ( ( flour and ) crisco ) ) ( all ( over himself ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ small) (NN boy)) (VP (VBZ has) (VP (VP (VBN gotten) (PP (IN into) (NP (DT the) (NN cabinet)))) (CC and) (VP (VBN gotten) (NP (NN flour) (CC and) (NN crisco)) (NP (NP (DT all)) (PP (IN over) (NP (PRP himself))))))) (. .))),The boy is playing the violin.,( ( The boy ) ( ( is ( playing ( the violin ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ is) (VP (VBG playing) (NP (DT the) (NN violin)))) (. .))) +1340,['entailment'],4170936558.jpg#1,entailment,4170936558.jpg#1r1e,A small boy has gotten into the cabinet and gotten flour and crisco all over himself.,( ( A ( small boy ) ) ( ( has ( ( ( gotten ( into ( the cabinet ) ) ) and ) ( ( gotten ( ( flour and ) crisco ) ) ( all ( over himself ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ small) (NN boy)) (VP (VBZ has) (VP (VP (VBN gotten) (PP (IN into) (NP (DT the) (NN cabinet)))) (CC and) (VP (VBN gotten) (NP (NN flour) (CC and) (NN crisco)) (NP (NP (DT all)) (PP (IN over) (NP (PRP himself))))))) (. .))),The boy is making a mess.,( ( The boy ) ( ( is ( making ( a mess ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ is) (VP (VBG making) (NP (DT a) (NN mess)))) (. .))) +1341,['entailment'],3616927733.jpg#4,entailment,3616927733.jpg#4r1e,A male painting a scene in front of him.,( ( ( A ( male painting ) ) ( ( a scene ) ( in ( front ( of him ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ male) (NN painting)) (NP (NP (DT a) (NN scene)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (PRP him)))))) (. .))),A person is painting.,( ( A person ) ( ( is painting ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG painting))) (. .))) +1342,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",3616927733.jpg#4,neutral,3616927733.jpg#4r1n,A male painting a scene in front of him.,( ( ( A ( male painting ) ) ( ( a scene ) ( in ( front ( of him ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ male) (NN painting)) (NP (NP (DT a) (NN scene)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (PRP him)))))) (. .))),A person is painting the sky and trees.,( ( A person ) ( ( is ( painting ( ( ( the sky ) and ) trees ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG painting) (NP (NP (DT the) (NN sky)) (CC and) (NP (NNS trees))))) (. .))) +1343,['contradiction'],3616927733.jpg#4,contradiction,3616927733.jpg#4r1c,A male painting a scene in front of him.,( ( ( A ( male painting ) ) ( ( a scene ) ( in ( front ( of him ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ male) (NN painting)) (NP (NP (DT a) (NN scene)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (PRP him)))))) (. .))),A girl is painting a self portrait.,( ( A girl ) ( ( is ( painting ( a ( self portrait ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBZ is) (VP (VBG painting) (NP (DT a) (NN self) (NN portrait)))) (. .))) +1344,['contradiction'],4678920190.jpg#4,contradiction,4678920190.jpg#4r1c,Busy Japanese intersection like maybe Tokyo.,( Busy ( ( Japanese intersection ) ( ( ( like maybe ) Tokyo ) . ) ) ),(ROOT (S (ADVP (RB Busy)) (NP (JJ Japanese) (NN intersection)) (VP (VBP like) (ADVP (RB maybe)) (NP (NNP Tokyo))) (. .))),There are no cars on the street.,( There ( ( are ( ( no cars ) ( on ( the street ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (DT no) (NNS cars)) (PP (IN on) (NP (DT the) (NN street))))) (. .))) +1345,['neutral'],4678920190.jpg#4,neutral,4678920190.jpg#4r1n,Busy Japanese intersection like maybe Tokyo.,( Busy ( ( Japanese intersection ) ( ( ( like maybe ) Tokyo ) . ) ) ),(ROOT (S (ADVP (RB Busy)) (NP (JJ Japanese) (NN intersection)) (VP (VBP like) (ADVP (RB maybe)) (NP (NNP Tokyo))) (. .))),The traffic is moving slowly.,( ( The traffic ) ( ( is ( moving slowly ) ) . ) ),(ROOT (S (NP (DT The) (NN traffic)) (VP (VBZ is) (VP (VBG moving) (ADVP (RB slowly)))) (. .))) +1346,['entailment'],4678920190.jpg#4,entailment,4678920190.jpg#4r1e,Busy Japanese intersection like maybe Tokyo.,( Busy ( ( Japanese intersection ) ( ( ( like maybe ) Tokyo ) . ) ) ),(ROOT (S (ADVP (RB Busy)) (NP (JJ Japanese) (NN intersection)) (VP (VBP like) (ADVP (RB maybe)) (NP (NNP Tokyo))) (. .))),There are lots of cars on the street.,( There ( ( are ( lots ( of ( cars ( on ( the street ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS lots)) (PP (IN of) (NP (NP (NNS cars)) (PP (IN on) (NP (DT the) (NN street))))))) (. .))) +1347,['entailment'],4689266358.jpg#4,entailment,4689266358.jpg#4r1e,Cars are passing through a town.,( Cars ( ( are ( passing ( through ( a town ) ) ) ) . ) ),(ROOT (S (NP (NNPS Cars)) (VP (VBP are) (VP (VBG passing) (PP (IN through) (NP (DT a) (NN town))))) (. .))),some car passing outside,( some ( car ( passing outside ) ) ),(ROOT (FRAG (NP (DT some) (NN car) (S (VP (VBG passing) (ADVP (RB outside))))))) +1348,['neutral'],4689266358.jpg#4,neutral,4689266358.jpg#4r1n,Cars are passing through a town.,( Cars ( ( are ( passing ( through ( a town ) ) ) ) . ) ),(ROOT (S (NP (NNPS Cars)) (VP (VBP are) (VP (VBG passing) (PP (IN through) (NP (DT a) (NN town))))) (. .))),Cars are passing through a town in road race,( Cars ( are ( passing ( through ( ( a town ) ( in ( road race ) ) ) ) ) ) ),(ROOT (S (NP (NNPS Cars)) (VP (VBP are) (VP (VBG passing) (PP (IN through) (NP (NP (DT a) (NN town)) (PP (IN in) (NP (NN road) (NN race))))))))) +1349,['contradiction'],4689266358.jpg#4,contradiction,4689266358.jpg#4r1c,Cars are passing through a town.,( Cars ( ( are ( passing ( through ( a town ) ) ) ) . ) ),(ROOT (S (NP (NNPS Cars)) (VP (VBP are) (VP (VBG passing) (PP (IN through) (NP (DT a) (NN town))))) (. .))),Cars are parked in the town.,( Cars ( ( are ( parked ( in ( the town ) ) ) ) . ) ),(ROOT (S (NP (NNPS Cars)) (VP (VBP are) (VP (VBN parked) (PP (IN in) (NP (DT the) (NN town))))) (. .))) +1350,['neutral'],4689266358.jpg#3,neutral,4689266358.jpg#3r1n,A picture of a city with a sign welcoming travelers on a busy street.,( ( ( A picture ) ( of ( ( a city ) ( with ( a sign ) ) ) ) ) ( ( ( welcoming travelers ) ( on ( a ( busy street ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN picture)) (PP (IN of) (NP (NP (DT a) (NN city)) (PP (IN with) (NP (DT a) (NN sign)))))) (VP (JJ welcoming) (NP (NNS travelers)) (PP (IN on) (NP (DT a) (JJ busy) (NN street)))) (. .))),It is in france,( It ( is ( in france ) ) ),(ROOT (S (NP (PRP It)) (VP (VBZ is) (PP (IN in) (NP (NN france)))))) +1351,"['entailment', 'entailment', 'neutral', 'entailment', 'neutral']",4689266358.jpg#3,entailment,4689266358.jpg#3r1e,A picture of a city with a sign welcoming travelers on a busy street.,( ( ( A picture ) ( of ( ( a city ) ( with ( a sign ) ) ) ) ) ( ( ( welcoming travelers ) ( on ( a ( busy street ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN picture)) (PP (IN of) (NP (NP (DT a) (NN city)) (PP (IN with) (NP (DT a) (NN sign)))))) (VP (JJ welcoming) (NP (NNS travelers)) (PP (IN on) (NP (DT a) (JJ busy) (NN street)))) (. .))),A picture of a city is on a street,( ( ( A picture ) ( of ( a city ) ) ) ( is ( on ( a street ) ) ) ),(ROOT (S (NP (NP (DT A) (NN picture)) (PP (IN of) (NP (DT a) (NN city)))) (VP (VBZ is) (PP (IN on) (NP (DT a) (NN street)))))) +1352,['contradiction'],4689266358.jpg#3,contradiction,4689266358.jpg#3r1c,A picture of a city with a sign welcoming travelers on a busy street.,( ( ( A picture ) ( of ( ( a city ) ( with ( a sign ) ) ) ) ) ( ( ( welcoming travelers ) ( on ( a ( busy street ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN picture)) (PP (IN of) (NP (NP (DT a) (NN city)) (PP (IN with) (NP (DT a) (NN sign)))))) (VP (JJ welcoming) (NP (NNS travelers)) (PP (IN on) (NP (DT a) (JJ busy) (NN street)))) (. .))),The people are dancing,( ( The people ) ( are dancing ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG dancing))))) +1353,['entailment'],4689266358.jpg#2,entailment,4689266358.jpg#2r1e,Overlooking a street with a sign above shops that states Welcome To Golden.,( ( ( ( Overlooking ( a street ) ) ( with ( ( a sign ) ( above shops ) ) ) ) ( that ( states ( Welcome ( To Golden ) ) ) ) ) . ),(ROOT (S (VP (VBG Overlooking) (NP (DT a) (NN street)) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN above) (NP (NNS shops))))) (SBAR (IN that) (S (NP (NNS states)) (VP (VB Welcome) (PP (TO To) (NP (NNP Golden))))))) (. .))),"The shop sign says ""Welcome to Golden""",( ( The ( shop sign ) ) ( ( ( says `` ) ( Welcome ( to Golden ) ) ) '' ) ),(ROOT (S (NP (DT The) (NN shop) (NN sign)) (VP (VBZ says) (`` ``) (ADJP (JJ Welcome) (PP (TO to) (NP (NNP Golden)))) ('' '')))) +1354,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",4689266358.jpg#2,contradiction,4689266358.jpg#2r1c,Overlooking a street with a sign above shops that states Welcome To Golden.,( ( ( ( Overlooking ( a street ) ) ( with ( ( a sign ) ( above shops ) ) ) ) ( that ( states ( Welcome ( To Golden ) ) ) ) ) . ),(ROOT (S (VP (VBG Overlooking) (NP (DT a) (NN street)) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN above) (NP (NNS shops))))) (SBAR (IN that) (S (NP (NNS states)) (VP (VB Welcome) (PP (TO To) (NP (NNP Golden))))))) (. .))),The shop sign is laying on the sidewalk.,( ( The ( shop sign ) ) ( ( is ( laying ( on ( the sidewalk ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN shop) (NN sign)) (VP (VBZ is) (VP (VBG laying) (PP (IN on) (NP (DT the) (NN sidewalk))))) (. .))) +1355,['neutral'],4689266358.jpg#2,neutral,4689266358.jpg#2r1n,Overlooking a street with a sign above shops that states Welcome To Golden.,( ( ( ( Overlooking ( a street ) ) ( with ( ( a sign ) ( above shops ) ) ) ) ( that ( states ( Welcome ( To Golden ) ) ) ) ) . ),(ROOT (S (VP (VBG Overlooking) (NP (DT a) (NN street)) (PP (IN with) (NP (NP (DT a) (NN sign)) (PP (IN above) (NP (NNS shops))))) (SBAR (IN that) (S (NP (NNS states)) (VP (VB Welcome) (PP (TO To) (NP (NNP Golden))))))) (. .))),"The ""Welcome to Golden"" sigh if lit up.",( ( The ( `` ( ( Welcome ( to Golden ) ) ( '' sigh ) ) ) ) ( ( if ( lit up ) ) . ) ),(ROOT (S (NP (DT The) (`` ``) (VP (VBN Welcome) (PP (TO to) (NP (NNP Golden)))) ('' '') (NN sigh)) (VP (ADVP (IN if)) (VBD lit) (PRT (RP up))) (. .))) +1356,['contradiction'],4689266358.jpg#1,contradiction,4689266358.jpg#1r1c,There are cars driving down a street with a sign displaying Welcome to Golden.,( There ( ( are ( cars ( ( ( driving down ) ( a street ) ) ( with ( ( a sign ) ( ( displaying Welcome ) ( to Golden ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS cars)) (VP (VBG driving) (PRT (RP down)) (NP (DT a) (NN street)) (PP (IN with) (S (NP (DT a) (NN sign)) (VP (VBG displaying) (INTJ (UH Welcome)) (PP (TO to) (NP (NNP Golden))))))))) (. .))),The cars are parked in a showroom.,( ( The cars ) ( ( are ( parked ( in ( a showroom ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS cars)) (VP (VBP are) (VP (VBN parked) (PP (IN in) (NP (DT a) (NN showroom))))) (. .))) +1357,['neutral'],4689266358.jpg#1,neutral,4689266358.jpg#1r1n,There are cars driving down a street with a sign displaying Welcome to Golden.,( There ( ( are ( cars ( ( ( driving down ) ( a street ) ) ( with ( ( a sign ) ( ( displaying Welcome ) ( to Golden ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS cars)) (VP (VBG driving) (PRT (RP down)) (NP (DT a) (NN street)) (PP (IN with) (S (NP (DT a) (NN sign)) (VP (VBG displaying) (INTJ (UH Welcome)) (PP (TO to) (NP (NNP Golden))))))))) (. .))),The cars are green.,( ( The cars ) ( ( are green ) . ) ),(ROOT (S (NP (DT The) (NNS cars)) (VP (VBP are) (ADJP (JJ green))) (. .))) +1358,['entailment'],4689266358.jpg#1,entailment,4689266358.jpg#1r1e,There are cars driving down a street with a sign displaying Welcome to Golden.,( There ( ( are ( cars ( ( ( driving down ) ( a street ) ) ( with ( ( a sign ) ( ( displaying Welcome ) ( to Golden ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS cars)) (VP (VBG driving) (PRT (RP down)) (NP (DT a) (NN street)) (PP (IN with) (S (NP (DT a) (NN sign)) (VP (VBG displaying) (INTJ (UH Welcome)) (PP (TO to) (NP (NNP Golden))))))))) (. .))),The cars are outside.,( ( The cars ) ( ( are outside ) . ) ),(ROOT (S (NP (DT The) (NNS cars)) (VP (VBP are) (ADJP (JJ outside))) (. .))) +1359,['neutral'],4689266358.jpg#0,neutral,4689266358.jpg#0r1n,"A main street scene of a small town with an overhead welcome sign that says ""Welcome to Golden"".",( ( ( A ( main ( street scene ) ) ) ( of ( ( a ( small town ) ) ( with ( an overhead ) ) ) ) ) ( ( ( ( welcome ( sign ( that ( ( says `` ) Welcome ) ) ) ) ( to Golden ) ) '' ) . ) ),(ROOT (S (NP (NP (DT A) (JJ main) (NN street) (NN scene)) (PP (IN of) (NP (NP (DT a) (JJ small) (NN town)) (PP (IN with) (NP (DT an) (NN overhead)))))) (VP (VB welcome) (NP (NP (NN sign)) (SBAR (WHNP (WDT that)) (S (VP (VBZ says) (`` ``) (INTJ (UH Welcome)))))) (PP (TO to) (NP (NNP Golden)))) ('' '') (. .))),"A neon sign reads ""Welcome to Golden""",( ( A ( neon sign ) ) ( ( ( reads `` ) ( Welcome ( to Golden ) ) ) '' ) ),(ROOT (S (NP (DT A) (NN neon) (NN sign)) (VP (VBZ reads) (`` ``) (ADJP (JJ Welcome) (PP (TO to) (NP (NNP Golden)))) ('' '')))) +1360,['contradiction'],4689266358.jpg#0,contradiction,4689266358.jpg#0r1c,"A main street scene of a small town with an overhead welcome sign that says ""Welcome to Golden"".",( ( ( A ( main ( street scene ) ) ) ( of ( ( a ( small town ) ) ( with ( an overhead ) ) ) ) ) ( ( ( ( welcome ( sign ( that ( ( says `` ) Welcome ) ) ) ) ( to Golden ) ) '' ) . ) ),(ROOT (S (NP (NP (DT A) (JJ main) (NN street) (NN scene)) (PP (IN of) (NP (NP (DT a) (JJ small) (NN town)) (PP (IN with) (NP (DT an) (NN overhead)))))) (VP (VB welcome) (NP (NP (NN sign)) (SBAR (WHNP (WDT that)) (S (VP (VBZ says) (`` ``) (INTJ (UH Welcome)))))) (PP (TO to) (NP (NNP Golden)))) ('' '') (. .))),"A neon sign reads ""Now leaving Golden""",( ( A ( neon sign ) ) ( reads ( `` ( ( Now ( leaving Golden ) ) '' ) ) ) ),(ROOT (S (NP (DT A) (NN neon) (NN sign)) (VP (VBZ reads) (S (`` ``) (S (VP (ADVP (RB Now)) (VBG leaving) (NP (NNP Golden)))) ('' ''))))) +1361,['entailment'],4689266358.jpg#0,entailment,4689266358.jpg#0r1e,"A main street scene of a small town with an overhead welcome sign that says ""Welcome to Golden"".",( ( ( A ( main ( street scene ) ) ) ( of ( ( a ( small town ) ) ( with ( an overhead ) ) ) ) ) ( ( ( ( welcome ( sign ( that ( ( says `` ) Welcome ) ) ) ) ( to Golden ) ) '' ) . ) ),(ROOT (S (NP (NP (DT A) (JJ main) (NN street) (NN scene)) (PP (IN of) (NP (NP (DT a) (JJ small) (NN town)) (PP (IN with) (NP (DT an) (NN overhead)))))) (VP (VB welcome) (NP (NP (NN sign)) (SBAR (WHNP (WDT that)) (S (VP (VBZ says) (`` ``) (INTJ (UH Welcome)))))) (PP (TO to) (NP (NNP Golden)))) ('' '') (. .))),"A sign reads ""Welcome to Golden""",( ( A sign ) ( ( ( reads `` ) ( Welcome ( to Golden ) ) ) '' ) ),(ROOT (S (NP (DT A) (NN sign)) (VP (VBZ reads) (`` ``) (ADJP (JJ Welcome) (PP (TO to) (NP (NNP Golden)))) ('' '')))) +1362,['neutral'],2282260240.jpg#2,neutral,2282260240.jpg#2r1n,Little Girl in brown shirt and blue jean skirt dances on wood floor.,( ( ( Little Girl ) ( in ( brown ( shirt ( and ( blue ( jean skirt ) ) ) ) ) ) ) ( ( dances ( on ( wood floor ) ) ) . ) ),(ROOT (S (NP (NP (NNP Little) (NNP Girl)) (PP (IN in) (NP (JJ brown) (NN shirt) (CC and) (JJ blue) (NN jean) (NN skirt)))) (VP (VBZ dances) (PP (IN on) (NP (NN wood) (NN floor)))) (. .))),A girl is dancing in a brown shirt and blue jean skirt on a wooden floor with her father,( ( A girl ) ( is ( ( dancing ( in ( ( a ( brown ( shirt ( and ( blue ( jean skirt ) ) ) ) ) ) ( on ( a ( wooden floor ) ) ) ) ) ) ( with ( her father ) ) ) ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBZ is) (VP (VBG dancing) (PP (IN in) (NP (NP (DT a) (JJ brown) (NN shirt) (CC and) (JJ blue) (NN jean) (NN skirt)) (PP (IN on) (NP (DT a) (JJ wooden) (NN floor))))) (PP (IN with) (NP (PRP$ her) (NN father))))))) +1363,['entailment'],2282260240.jpg#2,entailment,2282260240.jpg#2r1e,Little Girl in brown shirt and blue jean skirt dances on wood floor.,( ( ( Little Girl ) ( in ( brown ( shirt ( and ( blue ( jean skirt ) ) ) ) ) ) ) ( ( dances ( on ( wood floor ) ) ) . ) ),(ROOT (S (NP (NP (NNP Little) (NNP Girl)) (PP (IN in) (NP (JJ brown) (NN shirt) (CC and) (JJ blue) (NN jean) (NN skirt)))) (VP (VBZ dances) (PP (IN on) (NP (NN wood) (NN floor)))) (. .))),A girl is dancing in a brown shirt and blue jean skirt on a wooden floor,( ( A girl ) ( is ( dancing ( in ( ( a ( brown ( shirt ( and ( blue ( jean skirt ) ) ) ) ) ) ( on ( a ( wooden floor ) ) ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBZ is) (VP (VBG dancing) (PP (IN in) (NP (NP (DT a) (JJ brown) (NN shirt) (CC and) (JJ blue) (NN jean) (NN skirt)) (PP (IN on) (NP (DT a) (JJ wooden) (NN floor))))))))) +1364,"['contradiction', 'contradiction', 'contradiction', 'neutral', 'contradiction']",2282260240.jpg#2,contradiction,2282260240.jpg#2r1c,Little Girl in brown shirt and blue jean skirt dances on wood floor.,( ( ( Little Girl ) ( in ( brown ( shirt ( and ( blue ( jean skirt ) ) ) ) ) ) ) ( ( dances ( on ( wood floor ) ) ) . ) ),(ROOT (S (NP (NP (NNP Little) (NNP Girl)) (PP (IN in) (NP (JJ brown) (NN shirt) (CC and) (JJ blue) (NN jean) (NN skirt)))) (VP (VBZ dances) (PP (IN on) (NP (NN wood) (NN floor)))) (. .))),Poop's on the floor while the girl dances,( Poop ( ( 's ( on ( the floor ) ) ) ( while ( ( the girl ) dances ) ) ) ),(ROOT (S (NP (NNP Poop)) (VP (VBZ 's) (PP (IN on) (NP (DT the) (NN floor))) (SBAR (IN while) (S (NP (DT the) (NN girl)) (VP (VBZ dances))))))) +1365,['entailment'],6630195863.jpg#3,entailment,6630195863.jpg#3r1e,A young man is performing a jump on a skateboard while another young man photographs his stunt.,( ( A ( young man ) ) ( ( is ( ( performing ( ( a jump ) ( on ( a skateboard ) ) ) ) ( while ( ( another ( young man ) ) ( photographs ( his stunt ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN man)) (VP (VBZ is) (VP (VBG performing) (NP (NP (DT a) (NN jump)) (PP (IN on) (NP (DT a) (NN skateboard)))) (SBAR (IN while) (S (NP (DT another) (JJ young) (NN man)) (VP (VBZ photographs) (NP (PRP$ his) (NN stunt))))))) (. .))),Two boys are skateboarding outside.,( ( Two boys ) ( ( are ( skateboarding outside ) ) . ) ),(ROOT (S (NP (CD Two) (NNS boys)) (VP (VBP are) (VP (VBG skateboarding) (ADVP (RB outside)))) (. .))) +1366,['neutral'],6630195863.jpg#3,neutral,6630195863.jpg#3r1n,A young man is performing a jump on a skateboard while another young man photographs his stunt.,( ( A ( young man ) ) ( ( is ( ( performing ( ( a jump ) ( on ( a skateboard ) ) ) ) ( while ( ( another ( young man ) ) ( photographs ( his stunt ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN man)) (VP (VBZ is) (VP (VBG performing) (NP (NP (DT a) (NN jump)) (PP (IN on) (NP (DT a) (NN skateboard)))) (SBAR (IN while) (S (NP (DT another) (JJ young) (NN man)) (VP (VBZ photographs) (NP (PRP$ his) (NN stunt))))))) (. .))),Two boys are taking skateboarding photographs for a magazine.,( ( Two boys ) ( ( are ( taking ( ( skateboarding photographs ) ( for ( a magazine ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS boys)) (VP (VBP are) (VP (VBG taking) (NP (NP (JJ skateboarding) (NNS photographs)) (PP (IN for) (NP (DT a) (NN magazine)))))) (. .))) +1367,['contradiction'],6630195863.jpg#3,contradiction,6630195863.jpg#3r1c,A young man is performing a jump on a skateboard while another young man photographs his stunt.,( ( A ( young man ) ) ( ( is ( ( performing ( ( a jump ) ( on ( a skateboard ) ) ) ) ( while ( ( another ( young man ) ) ( photographs ( his stunt ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN man)) (VP (VBZ is) (VP (VBG performing) (NP (NP (DT a) (NN jump)) (PP (IN on) (NP (DT a) (NN skateboard)))) (SBAR (IN while) (S (NP (DT another) (JJ young) (NN man)) (VP (VBZ photographs) (NP (PRP$ his) (NN stunt))))))) (. .))),Two boys are riding bikes down the street.,( ( Two boys ) ( ( are ( ( riding bikes ) ( down ( the street ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS boys)) (VP (VBP are) (VP (VBG riding) (NP (NNS bikes)) (PP (IN down) (NP (DT the) (NN street))))) (. .))) +1368,['entailment'],2282260240.jpg#0,entailment,2282260240.jpg#0r1e,A young girl dancing in her socks on a wooden floor strewn with pink balloons.,( ( ( A ( young girl ) ) ( ( dancing ( in ( her socks ) ) ) ( on ( a ( wooden floor ) ) ) ) ) ( ( strewn ( with ( pink balloons ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN girl)) (VP (VBG dancing) (PP (IN in) (NP (PRP$ her) (NNS socks))) (PP (IN on) (NP (DT a) (JJ wooden) (NN floor))))) (VP (VBN strewn) (PP (IN with) (NP (JJ pink) (NNS balloons)))) (. .))),A girl is enjoying herself.,( ( A girl ) ( ( is ( enjoying herself ) ) . ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBZ is) (VP (VBG enjoying) (NP (PRP herself)))) (. .))) +1369,['neutral'],2282260240.jpg#0,neutral,2282260240.jpg#0r1n,A young girl dancing in her socks on a wooden floor strewn with pink balloons.,( ( ( A ( young girl ) ) ( ( dancing ( in ( her socks ) ) ) ( on ( a ( wooden floor ) ) ) ) ) ( ( strewn ( with ( pink balloons ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN girl)) (VP (VBG dancing) (PP (IN in) (NP (PRP$ her) (NNS socks))) (PP (IN on) (NP (DT a) (JJ wooden) (NN floor))))) (VP (VBN strewn) (PP (IN with) (NP (JJ pink) (NNS balloons)))) (. .))),The girl is celebrating by dancing.,( ( The girl ) ( ( is ( celebrating ( by dancing ) ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (VP (VBG celebrating) (PP (IN by) (NP (NN dancing))))) (. .))) +1370,['contradiction'],2282260240.jpg#0,contradiction,2282260240.jpg#0r1c,A young girl dancing in her socks on a wooden floor strewn with pink balloons.,( ( ( A ( young girl ) ) ( ( dancing ( in ( her socks ) ) ) ( on ( a ( wooden floor ) ) ) ) ) ( ( strewn ( with ( pink balloons ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN girl)) (VP (VBG dancing) (PP (IN in) (NP (PRP$ her) (NNS socks))) (PP (IN on) (NP (DT a) (JJ wooden) (NN floor))))) (VP (VBN strewn) (PP (IN with) (NP (JJ pink) (NNS balloons)))) (. .))),The girl seems very sad about the blue balloons.,( ( The girl ) ( ( seems ( very ( sad ( about ( the ( blue balloons ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ seems) (ADJP (RB very) (JJ sad) (PP (IN about) (NP (DT the) (JJ blue) (NNS balloons))))) (. .))) +1371,['contradiction'],2282260240.jpg#1,contradiction,2282260240.jpg#1r1c,"Child with pink strings on head dancing surrounded by confetti, balloons.","( ( Child ( with ( ( pink strings ) ( on ( head dancing ) ) ) ) ) ( ( surrounded ( by ( ( confetti , ) balloons ) ) ) . ) )","(ROOT (S (NP (NP (NN Child)) (PP (IN with) (NP (NP (JJ pink) (NNS strings)) (PP (IN on) (NP (NN head) (NN dancing)))))) (VP (VBN surrounded) (PP (IN by) (NP (NP (NNS confetti)) (, ,) (NP (NNS balloons))))) (. .)))",A child is roller skating.,( ( A child ) ( ( is ( roller skating ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ is) (NP (NN roller) (VBG skating))) (. .))) +1372,"['entailment', 'entailment', 'entailment', 'neutral', 'entailment']",2282260240.jpg#1,entailment,2282260240.jpg#1r1e,"Child with pink strings on head dancing surrounded by confetti, balloons.","( ( Child ( with ( ( pink strings ) ( on ( head dancing ) ) ) ) ) ( ( surrounded ( by ( ( confetti , ) balloons ) ) ) . ) )","(ROOT (S (NP (NP (NN Child)) (PP (IN with) (NP (NP (JJ pink) (NNS strings)) (PP (IN on) (NP (NN head) (NN dancing)))))) (VP (VBN surrounded) (PP (IN by) (NP (NP (NNS confetti)) (, ,) (NP (NNS balloons))))) (. .)))",A child is dancing.,( ( A child ) ( ( is dancing ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ is) (VP (VBG dancing))) (. .))) +1373,['neutral'],2282260240.jpg#1,neutral,2282260240.jpg#1r1n,"Child with pink strings on head dancing surrounded by confetti, balloons.","( ( Child ( with ( ( pink strings ) ( on ( head dancing ) ) ) ) ) ( ( surrounded ( by ( ( confetti , ) balloons ) ) ) . ) )","(ROOT (S (NP (NP (NN Child)) (PP (IN with) (NP (NP (JJ pink) (NNS strings)) (PP (IN on) (NP (NN head) (NN dancing)))))) (VP (VBN surrounded) (PP (IN by) (NP (NP (NNS confetti)) (, ,) (NP (NNS balloons))))) (. .)))",A child is dancing at a party.,( ( A child ) ( ( is ( dancing ( at ( a party ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ is) (VP (VBG dancing) (PP (IN at) (NP (DT a) (NN party))))) (. .))) +1374,['contradiction'],3873835329.jpg#1,contradiction,3873835329.jpg#1r1c,"A good-looking firefighter sets up ""Do Not Cross"" tape in the city.",( ( A ( good-looking firefighter ) ) ( ( ( sets ( ( ( up `` ) ( Do ( Not Cross ) ) ) '' ) ) ( tape ( in ( the city ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ good-looking) (NN firefighter)) (VP (VBZ sets) (PP (IN up) (`` ``) (NP (CD Do) (RB Not) (NNP Cross)) ('' '')) (NP (NP (NN tape)) (PP (IN in) (NP (DT the) (NN city))))) (. .))),A firefighter is sleeping.,( ( A firefighter ) ( ( is sleeping ) . ) ),(ROOT (S (NP (DT A) (NN firefighter)) (VP (VBZ is) (VP (VBG sleeping))) (. .))) +1375,"['neutral', 'entailment', 'entailment', 'entailment']",3873835329.jpg#1,entailment,3873835329.jpg#1r1n,"A good-looking firefighter sets up ""Do Not Cross"" tape in the city.",( ( A ( good-looking firefighter ) ) ( ( ( sets ( ( ( up `` ) ( Do ( Not Cross ) ) ) '' ) ) ( tape ( in ( the city ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ good-looking) (NN firefighter)) (VP (VBZ sets) (PP (IN up) (`` ``) (NP (CD Do) (RB Not) (NNP Cross)) ('' '')) (NP (NP (NN tape)) (PP (IN in) (NP (DT the) (NN city))))) (. .))),A firefighter sets up a do not cross,( ( A firefighter ) ( sets ( ( up a ) ( ( do not ) cross ) ) ) ),(ROOT (S (NP (DT A) (NN firefighter)) (VP (VBZ sets) (SBAR (S (NP (IN up) (DT a)) (VP (VBP do) (RB not) (VP (VB cross)))))))) +1376,['entailment'],3873835329.jpg#1,entailment,3873835329.jpg#1r1e,"A good-looking firefighter sets up ""Do Not Cross"" tape in the city.",( ( A ( good-looking firefighter ) ) ( ( ( sets ( ( ( up `` ) ( Do ( Not Cross ) ) ) '' ) ) ( tape ( in ( the city ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ good-looking) (NN firefighter)) (VP (VBZ sets) (PP (IN up) (`` ``) (NP (CD Do) (RB Not) (NNP Cross)) ('' '')) (NP (NP (NN tape)) (PP (IN in) (NP (DT the) (NN city))))) (. .))),A firefighter sets up tape in a city,( ( A firefighter ) ( ( sets up ) ( tape ( in ( a city ) ) ) ) ),(ROOT (S (NP (DT A) (NN firefighter)) (VP (VBZ sets) (PRT (RP up)) (NP (NP (NN tape)) (PP (IN in) (NP (DT a) (NN city))))))) +1377,['entailment'],3873835329.jpg#0,entailment,3873835329.jpg#0r1e,A fireman protects an area by setting up a boundary while others watch.,( ( A fireman ) ( ( ( ( protects ( an area ) ) ( by ( ( setting up ) ( a boundary ) ) ) ) ( while ( others watch ) ) ) . ) ),(ROOT (S (NP (DT A) (NN fireman)) (VP (VBZ protects) (NP (DT an) (NN area)) (PP (IN by) (S (VP (VBG setting) (PRT (RP up)) (NP (DT a) (NN boundary))))) (SBAR (IN while) (S (NP (NNS others)) (VP (VBP watch))))) (. .))),A fireman is working hard to keep people safe.,( ( A fireman ) ( ( is ( ( working hard ) ( to ( keep ( people safe ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN fireman)) (VP (VBZ is) (VP (VBG working) (ADVP (RB hard)) (S (VP (TO to) (VP (VB keep) (S (NP (NNS people)) (ADJP (JJ safe)))))))) (. .))) +1378,['contradiction'],3873835329.jpg#0,contradiction,3873835329.jpg#0r1c,A fireman protects an area by setting up a boundary while others watch.,( ( A fireman ) ( ( ( ( protects ( an area ) ) ( by ( ( setting up ) ( a boundary ) ) ) ) ( while ( others watch ) ) ) . ) ),(ROOT (S (NP (DT A) (NN fireman)) (VP (VBZ protects) (NP (DT an) (NN area)) (PP (IN by) (S (VP (VBG setting) (PRT (RP up)) (NP (DT a) (NN boundary))))) (SBAR (IN while) (S (NP (NNS others)) (VP (VBP watch))))) (. .))),A fireman is trying to run away from the fire.,( ( A fireman ) ( ( is ( trying ( to ( ( run away ) ( from ( the fire ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN fireman)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB run) (PRT (RP away)) (PP (IN from) (NP (DT the) (NN fire)))))))) (. .))) +1379,['neutral'],3873835329.jpg#0,neutral,3873835329.jpg#0r1n,A fireman protects an area by setting up a boundary while others watch.,( ( A fireman ) ( ( ( ( protects ( an area ) ) ( by ( ( setting up ) ( a boundary ) ) ) ) ( while ( others watch ) ) ) . ) ),(ROOT (S (NP (DT A) (NN fireman)) (VP (VBZ protects) (NP (DT an) (NN area)) (PP (IN by) (S (VP (VBG setting) (PRT (RP up)) (NP (DT a) (NN boundary))))) (SBAR (IN while) (S (NP (NNS others)) (VP (VBP watch))))) (. .))),A fireman is trying to stop the brushfire.,( ( A fireman ) ( ( is ( trying ( to ( stop ( the brushfire ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN fireman)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB stop) (NP (DT the) (NN brushfire))))))) (. .))) +1380,['contradiction'],2282260240.jpg#4,contradiction,2282260240.jpg#4r1c,The blond girl is dancing inside a house.,( ( The ( blond girl ) ) ( ( is ( dancing ( inside ( a house ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ blond) (NN girl)) (VP (VBZ is) (VP (VBG dancing) (PP (IN inside) (NP (DT a) (NN house))))) (. .))),The girl is sitting on a bench in a park.,( ( The girl ) ( ( is ( sitting ( on ( ( a bench ) ( in ( a park ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN bench)) (PP (IN in) (NP (DT a) (NN park))))))) (. .))) +1381,['entailment'],2282260240.jpg#4,entailment,2282260240.jpg#4r1e,The blond girl is dancing inside a house.,( ( The ( blond girl ) ) ( ( is ( dancing ( inside ( a house ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ blond) (NN girl)) (VP (VBZ is) (VP (VBG dancing) (PP (IN inside) (NP (DT a) (NN house))))) (. .))),A person is indoors.,( ( A person ) ( ( is indoors ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (ADVP (RB indoors))) (. .))) +1382,['neutral'],2282260240.jpg#4,neutral,2282260240.jpg#4r1n,The blond girl is dancing inside a house.,( ( The ( blond girl ) ) ( ( is ( dancing ( inside ( a house ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ blond) (NN girl)) (VP (VBZ is) (VP (VBG dancing) (PP (IN inside) (NP (DT a) (NN house))))) (. .))),The girl is twerking.,( ( The girl ) ( ( is twerking ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (VP (VBG twerking))) (. .))) +1383,['contradiction'],6526219567.jpg#0,contradiction,6526219567.jpg#0r1c,"Two people standing in front of a large statue of a woman, other statues and busts visible in the background.","( ( ( ( ( Two people ) ( standing ( in ( front ( of ( ( a ( large statue ) ) ( of ( a woman ) ) ) ) ) ) ) ) , ) ( ( other ( ( statues and ) busts ) ) ( visible ( in ( the background ) ) ) ) ) . )","(ROOT (S (S (NP (CD Two) (NNS people)) (VP (VBG standing) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (NP (DT a) (JJ large) (NN statue)) (PP (IN of) (NP (DT a) (NN woman))))))))) (, ,) (S (NP (JJ other) (NNS statues) (CC and) (NNS busts)) (ADJP (JJ visible) (PP (IN in) (NP (DT the) (NN background))))) (. .)))",Two people waiting in line for food at a crowded restaurant.,( ( ( Two people ) ( ( waiting ( in ( line ( for food ) ) ) ) ( at ( a ( crowded restaurant ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS people)) (VP (VBG waiting) (PP (IN in) (NP (NP (NN line)) (PP (IN for) (NP (NN food))))) (PP (IN at) (NP (DT a) (JJ crowded) (NN restaurant)))) (. .))) +1384,['neutral'],6526219567.jpg#0,neutral,6526219567.jpg#0r1n,"Two people standing in front of a large statue of a woman, other statues and busts visible in the background.","( ( ( ( ( Two people ) ( standing ( in ( front ( of ( ( a ( large statue ) ) ( of ( a woman ) ) ) ) ) ) ) ) , ) ( ( other ( ( statues and ) busts ) ) ( visible ( in ( the background ) ) ) ) ) . )","(ROOT (S (S (NP (CD Two) (NNS people)) (VP (VBG standing) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (NP (DT a) (JJ large) (NN statue)) (PP (IN of) (NP (DT a) (NN woman))))))))) (, ,) (S (NP (JJ other) (NNS statues) (CC and) (NNS busts)) (ADJP (JJ visible) (PP (IN in) (NP (DT the) (NN background))))) (. .)))",Two people posing for photos with an ancient statue outdoors.,( ( ( Two people ) ( ( posing ( for ( photos ( with ( an ( ancient statue ) ) ) ) ) ) outdoors ) ) . ),(ROOT (NP (NP (CD Two) (NNS people)) (VP (VBG posing) (PP (IN for) (NP (NP (NNS photos)) (PP (IN with) (NP (DT an) (JJ ancient) (NN statue))))) (ADVP (RB outdoors))) (. .))) +1385,['entailment'],6526219567.jpg#0,entailment,6526219567.jpg#0r1e,"Two people standing in front of a large statue of a woman, other statues and busts visible in the background.","( ( ( ( ( Two people ) ( standing ( in ( front ( of ( ( a ( large statue ) ) ( of ( a woman ) ) ) ) ) ) ) ) , ) ( ( other ( ( statues and ) busts ) ) ( visible ( in ( the background ) ) ) ) ) . )","(ROOT (S (S (NP (CD Two) (NNS people)) (VP (VBG standing) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (NP (DT a) (JJ large) (NN statue)) (PP (IN of) (NP (DT a) (NN woman))))))))) (, ,) (S (NP (JJ other) (NNS statues) (CC and) (NNS busts)) (ADJP (JJ visible) (PP (IN in) (NP (DT the) (NN background))))) (. .)))","Two people standing standing near a large statue, with other states nearby.","( ( ( Two people ) ( ( standing ( ( ( standing ( near ( a ( large statue ) ) ) ) , ) ( with ( other states ) ) ) ) nearby ) ) . )","(ROOT (NP (NP (CD Two) (NNS people)) (VP (VBG standing) (S (VP (VBG standing) (PP (IN near) (NP (DT a) (JJ large) (NN statue))) (, ,) (PP (IN with) (NP (JJ other) (NNS states))))) (ADVP (RB nearby))) (. .)))" +1386,['contradiction'],2897990634.jpg#2,contradiction,2897990634.jpg#2r1c,a man with a white covering is walking up a flight of stairs.,( ( ( a man ) ( with ( a ( white covering ) ) ) ) ( ( is ( ( walking up ) ( ( a flight ) ( of stairs ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN man)) (PP (IN with) (NP (DT a) (JJ white) (NN covering)))) (VP (VBZ is) (VP (VBG walking) (PRT (RP up)) (NP (NP (DT a) (NN flight)) (PP (IN of) (NP (NNS stairs)))))) (. .))),An old woman is falling down the stairs.,( ( An ( old woman ) ) ( ( is ( ( falling down ) ( the stairs ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ old) (NN woman)) (VP (VBZ is) (VP (VBG falling) (PRT (RP down)) (NP (DT the) (NNS stairs)))) (. .))) +1387,['neutral'],2897990634.jpg#2,neutral,2897990634.jpg#2r1n,a man with a white covering is walking up a flight of stairs.,( ( ( a man ) ( with ( a ( white covering ) ) ) ) ( ( is ( ( walking up ) ( ( a flight ) ( of stairs ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN man)) (PP (IN with) (NP (DT a) (JJ white) (NN covering)))) (VP (VBZ is) (VP (VBG walking) (PRT (RP up)) (NP (NP (DT a) (NN flight)) (PP (IN of) (NP (NNS stairs)))))) (. .))),A man is climbing the stairs to his apartment after a long day at work.,( ( A man ) ( ( is ( ( ( climbing ( the stairs ) ) ( to ( his apartment ) ) ) ( after ( ( a ( long day ) ) ( at work ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG climbing) (NP (DT the) (NNS stairs)) (PP (TO to) (NP (PRP$ his) (NN apartment))) (PP (IN after) (NP (NP (DT a) (JJ long) (NN day)) (PP (IN at) (NP (NN work))))))) (. .))) +1388,['entailment'],2897990634.jpg#2,entailment,2897990634.jpg#2r1e,a man with a white covering is walking up a flight of stairs.,( ( ( a man ) ( with ( a ( white covering ) ) ) ) ( ( is ( ( walking up ) ( ( a flight ) ( of stairs ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN man)) (PP (IN with) (NP (DT a) (JJ white) (NN covering)))) (VP (VBZ is) (VP (VBG walking) (PRT (RP up)) (NP (NP (DT a) (NN flight)) (PP (IN of) (NP (NNS stairs)))))) (. .))),A human walks up some stairs.,( ( A human ) ( ( ( walks up ) ( some stairs ) ) . ) ),(ROOT (S (NP (DT A) (NN human)) (VP (VBZ walks) (PRT (RP up)) (NP (DT some) (NNS stairs))) (. .))) +1389,['entailment'],2773474615.jpg#4,entailment,2773474615.jpg#4r1e,A family between a van and fence,( ( A family ) ( between ( a ( ( van and ) fence ) ) ) ),(ROOT (NP (NP (DT A) (NN family)) (PP (IN between) (NP (DT a) (NN van) (CC and) (NN fence))))),A family by a van.,( ( ( A family ) ( by ( a van ) ) ) . ),(ROOT (NP (NP (DT A) (NN family)) (PP (IN by) (NP (DT a) (NN van))) (. .))) +1390,['contradiction'],2773474615.jpg#4,contradiction,2773474615.jpg#4r1c,A family between a van and fence,( ( A family ) ( between ( a ( ( van and ) fence ) ) ) ),(ROOT (NP (NP (DT A) (NN family)) (PP (IN between) (NP (DT a) (NN van) (CC and) (NN fence))))),A family by a pickup truck.,( ( ( A family ) ( by ( a ( pickup truck ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN family)) (PP (IN by) (NP (DT a) (NN pickup) (NN truck))) (. .))) +1391,['neutral'],2773474615.jpg#4,neutral,2773474615.jpg#4r1n,A family between a van and fence,( ( A family ) ( between ( a ( ( van and ) fence ) ) ) ),(ROOT (NP (NP (DT A) (NN family)) (PP (IN between) (NP (DT a) (NN van) (CC and) (NN fence))))),A family by a moving van.,( ( ( A family ) ( by ( a ( moving van ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN family)) (PP (IN by) (NP (DT a) (VBG moving) (NN van))) (. .))) +1392,['neutral'],2773474615.jpg#2,neutral,2773474615.jpg#2r1n,A woman talking to four little children outside.,( ( ( A woman ) ( ( talking ( to ( four ( little children ) ) ) ) outside ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG talking) (PP (TO to) (NP (CD four) (JJ little) (NNS children))) (ADVP (RB outside))) (. .))),The teacher is showing her students some items in the park.,( ( The teacher ) ( ( is ( ( showing ( her students ) ) ( ( some items ) ( in ( the park ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN teacher)) (VP (VBZ is) (VP (VBG showing) (NP (PRP$ her) (NNS students)) (NP (NP (DT some) (NNS items)) (PP (IN in) (NP (DT the) (NN park)))))) (. .))) +1393,['entailment'],2773474615.jpg#2,entailment,2773474615.jpg#2r1e,A woman talking to four little children outside.,( ( ( A woman ) ( ( talking ( to ( four ( little children ) ) ) ) outside ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG talking) (PP (TO to) (NP (CD four) (JJ little) (NNS children))) (ADVP (RB outside))) (. .))),A female adult is near some kids.,( ( A ( female adult ) ) ( ( is ( near ( some kids ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ female) (NN adult)) (VP (VBZ is) (PP (IN near) (NP (DT some) (NNS kids)))) (. .))) +1394,['contradiction'],2773474615.jpg#2,contradiction,2773474615.jpg#2r1c,A woman talking to four little children outside.,( ( ( A woman ) ( ( talking ( to ( four ( little children ) ) ) ) outside ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG talking) (PP (TO to) (NP (CD four) (JJ little) (NNS children))) (ADVP (RB outside))) (. .))),A teacher is reading a book in class.,( ( A teacher ) ( ( is ( reading ( ( a book ) ( in class ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN teacher)) (VP (VBZ is) (VP (VBG reading) (NP (NP (DT a) (NN book)) (PP (IN in) (NP (NN class)))))) (. .))) +1395,['neutral'],2773474615.jpg#3,neutral,2773474615.jpg#3r1n,A mother with her four children.,( ( ( A mother ) ( with ( her ( four children ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mother)) (PP (IN with) (NP (PRP$ her) (CD four) (NNS children))) (. .))),A woman posing for a picture with her children.,( ( ( A woman ) ( posing ( for ( ( a picture ) ( with ( her children ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG posing) (PP (IN for) (NP (NP (DT a) (NN picture)) (PP (IN with) (NP (PRP$ her) (NNS children)))))) (. .))) +1396,['contradiction'],2773474615.jpg#3,contradiction,2773474615.jpg#3r1c,A mother with her four children.,( ( ( A mother ) ( with ( her ( four children ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mother)) (PP (IN with) (NP (PRP$ her) (CD four) (NNS children))) (. .))),A man with his pets.,( ( ( A man ) ( with ( his pets ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (PP (IN with) (NP (PRP$ his) (NNS pets))) (. .))) +1397,['entailment'],2773474615.jpg#3,entailment,2773474615.jpg#3r1e,A mother with her four children.,( ( ( A mother ) ( with ( her ( four children ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN mother)) (PP (IN with) (NP (PRP$ her) (CD four) (NNS children))) (. .))),A woman with children.,( ( ( A woman ) ( with children ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (PP (IN with) (NP (NNS children))) (. .))) +1398,['contradiction'],2773474615.jpg#0,contradiction,2773474615.jpg#0r1c,A woman and a few children in an alleyway in between a vehicle and a fence.,( ( ( ( A woman ) and ) ( ( a ( few children ) ) ( in ( ( an alleyway ) ( in ( between ( ( ( a vehicle ) and ) ( a fence ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (CC and) (NP (NP (DT a) (JJ few) (NNS children)) (PP (IN in) (NP (NP (DT an) (NN alleyway)) (PP (IN in) (PP (IN between) (NP (NP (DT a) (NN vehicle)) (CC and) (NP (DT a) (NN fence)))))))) (. .))),The woman and children are in their dining room.,( ( ( ( The woman ) and ) children ) ( ( are ( in ( their ( dining room ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN woman)) (CC and) (NP (NNS children))) (VP (VBP are) (PP (IN in) (NP (PRP$ their) (VBG dining) (NN room)))) (. .))) +1399,['neutral'],2773474615.jpg#0,neutral,2773474615.jpg#0r1n,A woman and a few children in an alleyway in between a vehicle and a fence.,( ( ( ( A woman ) and ) ( ( a ( few children ) ) ( in ( ( an alleyway ) ( in ( between ( ( ( a vehicle ) and ) ( a fence ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (CC and) (NP (NP (DT a) (JJ few) (NNS children)) (PP (IN in) (NP (NP (DT an) (NN alleyway)) (PP (IN in) (PP (IN between) (NP (NP (DT a) (NN vehicle)) (CC and) (NP (DT a) (NN fence)))))))) (. .))),The people are trapped between the vehicle and fence.,( ( The people ) ( ( are ( trapped ( between ( the ( ( vehicle and ) fence ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBN trapped) (PP (IN between) (NP (DT the) (NN vehicle) (CC and) (NN fence))))) (. .))) +1400,['entailment'],2773474615.jpg#0,entailment,2773474615.jpg#0r1e,A woman and a few children in an alleyway in between a vehicle and a fence.,( ( ( ( A woman ) and ) ( ( a ( few children ) ) ( in ( ( an alleyway ) ( in ( between ( ( ( a vehicle ) and ) ( a fence ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (CC and) (NP (NP (DT a) (JJ few) (NNS children)) (PP (IN in) (NP (NP (DT an) (NN alleyway)) (PP (IN in) (PP (IN between) (NP (NP (DT a) (NN vehicle)) (CC and) (NP (DT a) (NN fence)))))))) (. .))),Several people in an alleyway.,( ( ( Several people ) ( in ( an alleyway ) ) ) . ),(ROOT (NP (NP (JJ Several) (NNS people)) (PP (IN in) (NP (DT an) (NN alleyway))) (. .))) +1401,['entailment'],2773474615.jpg#1,entailment,2773474615.jpg#1r1e,A woman in a floral dress talks to children in front of a van.,( ( ( A woman ) ( in ( a ( floral dress ) ) ) ) ( ( talks ( to ( children ( in ( front ( of ( a van ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (JJ floral) (NN dress)))) (VP (VBZ talks) (PP (TO to) (NP (NP (NNS children)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN van)))))))) (. .))),A woman is talking to children.,( ( A woman ) ( ( is ( talking ( to children ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG talking) (PP (TO to) (NP (NNS children))))) (. .))) +1402,['neutral'],2773474615.jpg#1,neutral,2773474615.jpg#1r1n,A woman in a floral dress talks to children in front of a van.,( ( ( A woman ) ( in ( a ( floral dress ) ) ) ) ( ( talks ( to ( children ( in ( front ( of ( a van ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (JJ floral) (NN dress)))) (VP (VBZ talks) (PP (TO to) (NP (NP (NNS children)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN van)))))))) (. .))),A lady in a dress is taking kids to a museum.,( ( ( A lady ) ( in ( a dress ) ) ) ( ( is ( ( taking kids ) ( to ( a museum ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN lady)) (PP (IN in) (NP (DT a) (NN dress)))) (VP (VBZ is) (VP (VBG taking) (NP (NNS kids)) (PP (TO to) (NP (DT a) (NN museum))))) (. .))) +1403,['contradiction'],2773474615.jpg#1,contradiction,2773474615.jpg#1r1c,A woman in a floral dress talks to children in front of a van.,( ( ( A woman ) ( in ( a ( floral dress ) ) ) ) ( ( talks ( to ( children ( in ( front ( of ( a van ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (JJ floral) (NN dress)))) (VP (VBZ talks) (PP (TO to) (NP (NP (NNS children)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN van)))))))) (. .))),A woman is screaming at her kid.,( ( A woman ) ( ( is ( screaming ( at ( her kid ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG screaming) (PP (IN at) (NP (PRP$ her) (NN kid))))) (. .))) +1404,"['neutral', 'neutral', 'entailment', 'neutral', 'neutral']",3441511444.jpg#3,neutral,3441511444.jpg#3r1n,Two men with heads down signing a paper.,( ( ( Two men ) with ) ( ( ( heads down ) ( signing ( a paper ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS men)) (PP (IN with))) (VP (VBZ heads) (PRT (RP down)) (S (VP (VBG signing) (NP (DT a) (NN paper))))) (. .))),The men are signing their names.,( ( The men ) ( ( are ( signing ( their names ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (VP (VBG signing) (NP (PRP$ their) (NNS names)))) (. .))) +1405,['contradiction'],3441511444.jpg#3,contradiction,3441511444.jpg#3r1c,Two men with heads down signing a paper.,( ( ( Two men ) with ) ( ( ( heads down ) ( signing ( a paper ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS men)) (PP (IN with))) (VP (VBZ heads) (PRT (RP down)) (S (VP (VBG signing) (NP (DT a) (NN paper))))) (. .))),The men jump off a bridge.,( ( The men ) ( ( ( jump off ) ( a bridge ) ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP jump) (PRT (RP off)) (NP (DT a) (NN bridge))) (. .))) +1406,['entailment'],3441511444.jpg#3,entailment,3441511444.jpg#3r1e,Two men with heads down signing a paper.,( ( ( Two men ) with ) ( ( ( heads down ) ( signing ( a paper ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS men)) (PP (IN with))) (VP (VBZ heads) (PRT (RP down)) (S (VP (VBG signing) (NP (DT a) (NN paper))))) (. .))),The two men sign something.,( ( The ( two men ) ) ( ( sign something ) . ) ),(ROOT (S (NP (DT The) (CD two) (NNS men)) (VP (VB sign) (NP (NN something))) (. .))) +1407,['entailment'],6526219567.jpg#2,entailment,6526219567.jpg#2r1e,A man and a woman having an intimate conversation in front a statue.,( ( ( ( ( A man ) and ) ( a woman ) ) ( having ( ( an ( intimate conversation ) ) ( in ( front ( a statue ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBG having) (NP (NP (DT an) (JJ intimate) (NN conversation)) (PP (IN in) (NP (JJ front) (DT a) (NN statue))))) (. .))),A couple are having a conversation,( ( A couple ) ( are ( having ( a conversation ) ) ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP are) (VP (VBG having) (NP (DT a) (NN conversation)))))) +1408,['contradiction'],6526219567.jpg#2,contradiction,6526219567.jpg#2r1c,A man and a woman having an intimate conversation in front a statue.,( ( ( ( ( A man ) and ) ( a woman ) ) ( having ( ( an ( intimate conversation ) ) ( in ( front ( a statue ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBG having) (NP (NP (DT an) (JJ intimate) (NN conversation)) (PP (IN in) (NP (JJ front) (DT a) (NN statue))))) (. .))),A couple are having dinner in a restaurant.,( ( A couple ) ( ( are ( having ( dinner ( in ( a restaurant ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP are) (VP (VBG having) (NP (NP (NN dinner)) (PP (IN in) (NP (DT a) (NN restaurant)))))) (. .))) +1409,['neutral'],6526219567.jpg#2,neutral,6526219567.jpg#2r1n,A man and a woman having an intimate conversation in front a statue.,( ( ( ( ( A man ) and ) ( a woman ) ) ( having ( ( an ( intimate conversation ) ) ( in ( front ( a statue ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBG having) (NP (NP (DT an) (JJ intimate) (NN conversation)) (PP (IN in) (NP (JJ front) (DT a) (NN statue))))) (. .))),A couple are discussing vacation plans,( ( A couple ) ( are ( discussing ( vacation plans ) ) ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP are) (VP (VBG discussing) (NP (NN vacation) (NNS plans)))))) +1410,['contradiction'],2936881937.jpg#3,contradiction,2936881937.jpg#3r1c,A man in a Tour De Force shirt is working on a bicycle.,( ( ( A man ) ( in ( a ( Tour ( De ( Force shirt ) ) ) ) ) ) ( ( is ( working ( on ( a bicycle ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (NNP Tour) (NNP De) (NNP Force) (NN shirt)))) (VP (VBZ is) (VP (VBG working) (PP (IN on) (NP (DT a) (NN bicycle))))) (. .))),A woman is biking.,( ( A woman ) ( ( is biking ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (NP (NN biking))) (. .))) +1411,['neutral'],2936881937.jpg#3,neutral,2936881937.jpg#3r1n,A man in a Tour De Force shirt is working on a bicycle.,( ( ( A man ) ( in ( a ( Tour ( De ( Force shirt ) ) ) ) ) ) ( ( is ( working ( on ( a bicycle ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (NNP Tour) (NNP De) (NNP Force) (NN shirt)))) (VP (VBZ is) (VP (VBG working) (PP (IN on) (NP (DT a) (NN bicycle))))) (. .))),A man is working on his favorite bike.,( ( A man ) ( ( is ( working ( on ( his ( favorite bike ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG working) (PP (IN on) (NP (PRP$ his) (JJ favorite) (NN bike))))) (. .))) +1412,['entailment'],2936881937.jpg#3,entailment,2936881937.jpg#3r1e,A man in a Tour De Force shirt is working on a bicycle.,( ( ( A man ) ( in ( a ( Tour ( De ( Force shirt ) ) ) ) ) ) ( ( is ( working ( on ( a bicycle ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (NNP Tour) (NNP De) (NNP Force) (NN shirt)))) (VP (VBZ is) (VP (VBG working) (PP (IN on) (NP (DT a) (NN bicycle))))) (. .))),A man is working on a bike.,( ( A man ) ( ( is ( working ( on ( a bike ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG working) (PP (IN on) (NP (DT a) (NN bike))))) (. .))) +1413,"['neutral', 'neutral', 'entailment', 'neutral', 'entailment']",2071705189.jpg#1,neutral,2071705189.jpg#1r1n,A young toddler wearing pink sandals is walking on hopscotch numbers.,( ( ( A ( young toddler ) ) ( wearing ( pink sandals ) ) ) ( ( is ( walking ( on ( hopscotch numbers ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN toddler)) (VP (VBG wearing) (NP (JJ pink) (NNS sandals)))) (VP (VBZ is) (VP (VBG walking) (PP (IN on) (NP (NN hopscotch) (NNS numbers))))) (. .))),A young girl wears sandals and walks on hopscotch numbers.,( ( A ( young girl ) ) ( ( ( wears ( ( sandals and ) walks ) ) ( on ( hopscotch numbers ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN girl)) (VP (VBZ wears) (NP (NNS sandals) (CC and) (NNS walks)) (PP (IN on) (NP (NN hopscotch) (NNS numbers)))) (. .))) +1414,['contradiction'],2071705189.jpg#1,contradiction,2071705189.jpg#1r1c,A young toddler wearing pink sandals is walking on hopscotch numbers.,( ( ( A ( young toddler ) ) ( wearing ( pink sandals ) ) ) ( ( is ( walking ( on ( hopscotch numbers ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN toddler)) (VP (VBG wearing) (NP (JJ pink) (NNS sandals)))) (VP (VBZ is) (VP (VBG walking) (PP (IN on) (NP (NN hopscotch) (NNS numbers))))) (. .))),A grown man wearing pink sandals plays hopscotch.,( ( ( A ( grown man ) ) ( wearing ( pink sandals ) ) ) ( ( plays hopscotch ) . ) ),(ROOT (S (NP (NP (DT A) (JJ grown) (NN man)) (VP (VBG wearing) (NP (JJ pink) (NNS sandals)))) (VP (VBZ plays) (NP (NN hopscotch))) (. .))) +1415,['entailment'],2071705189.jpg#1,entailment,2071705189.jpg#1r1e,A young toddler wearing pink sandals is walking on hopscotch numbers.,( ( ( A ( young toddler ) ) ( wearing ( pink sandals ) ) ) ( ( is ( walking ( on ( hopscotch numbers ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN toddler)) (VP (VBG wearing) (NP (JJ pink) (NNS sandals)))) (VP (VBZ is) (VP (VBG walking) (PP (IN on) (NP (NN hopscotch) (NNS numbers))))) (. .))),A baby walks on the ground.,( ( A baby ) ( ( walks ( on ( the ground ) ) ) . ) ),(ROOT (S (NP (DT A) (NN baby)) (VP (VBZ walks) (PP (IN on) (NP (DT the) (NN ground)))) (. .))) +1416,['entailment'],3324746155.jpg#4,entailment,3324746155.jpg#4r1e,a man wearing blue plays soccer.,( ( ( a man ) ( wearing blue ) ) ( ( plays soccer ) . ) ),(ROOT (S (NP (NP (DT a) (NN man)) (VP (VBG wearing) (ADJP (JJ blue)))) (VP (VBZ plays) (NP (NN soccer))) (. .))),man playing soccer,( man ( playing soccer ) ),(ROOT (S (VP (VB man) (S (VP (VBG playing) (NP (NN soccer))))))) +1417,['neutral'],3324746155.jpg#4,neutral,3324746155.jpg#4r1n,a man wearing blue plays soccer.,( ( ( a man ) ( wearing blue ) ) ( ( plays soccer ) . ) ),(ROOT (S (NP (NP (DT a) (NN man)) (VP (VBG wearing) (ADJP (JJ blue)))) (VP (VBZ plays) (NP (NN soccer))) (. .))),man competing in soccer competition,( ( man competing ) ( in ( soccer competition ) ) ),(ROOT (S (NP (NP (NN man) (VBG competing)) (PP (IN in) (NP (NN soccer) (NN competition)))))) +1418,['contradiction'],3324746155.jpg#4,contradiction,3324746155.jpg#4r1c,a man wearing blue plays soccer.,( ( ( a man ) ( wearing blue ) ) ( ( plays soccer ) . ) ),(ROOT (S (NP (NP (DT a) (NN man)) (VP (VBG wearing) (ADJP (JJ blue)))) (VP (VBZ plays) (NP (NN soccer))) (. .))),man playing basketball,( man ( playing basketball ) ),(ROOT (S (VP (VB man) (S (VP (VBG playing) (NP (NN basketball))))))) +1419,['contradiction'],2341904462.jpg#4,contradiction,2341904462.jpg#4r1c,Mothers with children talking at a gathering.,( ( ( Mothers ( with children ) ) ( talking ( at ( a gathering ) ) ) ) . ),(ROOT (NP (NP (NP (NNS Mothers)) (PP (IN with) (NP (NNS children)))) (VP (VBG talking) (PP (IN at) (NP (DT a) (NN gathering)))) (. .))),The mothers are yelling at the children.,( ( The mothers ) ( ( are ( yelling ( at ( the children ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS mothers)) (VP (VBP are) (VP (VBG yelling) (PP (IN at) (NP (DT the) (NNS children))))) (. .))) +1420,['neutral'],2341904462.jpg#4,neutral,2341904462.jpg#4r1n,Mothers with children talking at a gathering.,( ( ( Mothers ( with children ) ) ( talking ( at ( a gathering ) ) ) ) . ),(ROOT (NP (NP (NP (NNS Mothers)) (PP (IN with) (NP (NNS children)))) (VP (VBG talking) (PP (IN at) (NP (DT a) (NN gathering)))) (. .))),They are talking about thier kids.,( They ( ( are ( talking ( about ( thier kids ) ) ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (VBG talking) (PP (IN about) (NP (NN thier) (NNS kids))))) (. .))) +1421,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",2341904462.jpg#4,entailment,2341904462.jpg#4r1e,Mothers with children talking at a gathering.,( ( ( Mothers ( with children ) ) ( talking ( at ( a gathering ) ) ) ) . ),(ROOT (NP (NP (NP (NNS Mothers)) (PP (IN with) (NP (NNS children)))) (VP (VBG talking) (PP (IN at) (NP (DT a) (NN gathering)))) (. .))),The mothers are having conversations.,( ( The mothers ) ( ( are ( having conversations ) ) . ) ),(ROOT (S (NP (DT The) (NNS mothers)) (VP (VBP are) (VP (VBG having) (NP (NNS conversations)))) (. .))) +1422,['contradiction'],2341904462.jpg#1,contradiction,2341904462.jpg#1r1c,Two women are talking while children are sitting on their laps.,( ( Two women ) ( ( are ( talking ( while ( children ( are ( sitting ( on ( their laps ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS women)) (VP (VBP are) (VP (VBG talking) (SBAR (IN while) (S (NP (NNS children)) (VP (VBP are) (VP (VBG sitting) (PP (IN on) (NP (PRP$ their) (NNS laps))))))))) (. .))),The man is painting a house.,( ( The man ) ( ( is ( painting ( a house ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG painting) (NP (DT a) (NN house)))) (. .))) +1423,['neutral'],2341904462.jpg#1,neutral,2341904462.jpg#1r1n,Two women are talking while children are sitting on their laps.,( ( Two women ) ( ( are ( talking ( while ( children ( are ( sitting ( on ( their laps ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS women)) (VP (VBP are) (VP (VBG talking) (SBAR (IN while) (S (NP (NNS children)) (VP (VBP are) (VP (VBG sitting) (PP (IN on) (NP (PRP$ their) (NNS laps))))))))) (. .))),Some women are babysitting.,( ( Some women ) ( ( are babysitting ) . ) ),(ROOT (S (NP (DT Some) (NNS women)) (VP (VBP are) (VP (VBG babysitting))) (. .))) +1424,['entailment'],2341904462.jpg#1,entailment,2341904462.jpg#1r1e,Two women are talking while children are sitting on their laps.,( ( Two women ) ( ( are ( talking ( while ( children ( are ( sitting ( on ( their laps ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS women)) (VP (VBP are) (VP (VBG talking) (SBAR (IN while) (S (NP (NNS children)) (VP (VBP are) (VP (VBG sitting) (PP (IN on) (NP (PRP$ their) (NNS laps))))))))) (. .))),Some women are talking.,( ( Some women ) ( ( are talking ) . ) ),(ROOT (S (NP (DT Some) (NNS women)) (VP (VBP are) (VP (VBG talking))) (. .))) +1425,['entailment'],2341904462.jpg#0,entailment,2341904462.jpg#0r1e,"Two women, each embracing a little girl, catch up at a small family gathering.","( ( ( ( ( Two women ) , ) ( each ( embracing ( a ( little girl ) ) ) ) ) , ) ( ( ( catch up ) ( at ( a ( small ( family gathering ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Two) (NNS women)) (, ,) (NP (NP (DT each)) (VP (VBG embracing) (NP (DT a) (JJ little) (NN girl)))) (, ,)) (VP (VBP catch) (PRT (RP up)) (PP (IN at) (NP (DT a) (JJ small) (NN family) (NN gathering)))) (. .)))",2 women are carrying little girls.,( ( 2 women ) ( ( are ( carrying ( little girls ) ) ) . ) ),(ROOT (S (NP (CD 2) (NNS women)) (VP (VBP are) (VP (VBG carrying) (NP (JJ little) (NNS girls)))) (. .))) +1426,['neutral'],2341904462.jpg#0,neutral,2341904462.jpg#0r1n,"Two women, each embracing a little girl, catch up at a small family gathering.","( ( ( ( ( Two women ) , ) ( each ( embracing ( a ( little girl ) ) ) ) ) , ) ( ( ( catch up ) ( at ( a ( small ( family gathering ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Two) (NNS women)) (, ,) (NP (NP (DT each)) (VP (VBG embracing) (NP (DT a) (JJ little) (NN girl)))) (, ,)) (VP (VBP catch) (PRT (RP up)) (PP (IN at) (NP (DT a) (JJ small) (NN family) (NN gathering)))) (. .)))",The women were showing their daughters an animal.,( ( The women ) ( ( were ( ( showing ( their daughters ) ) ( an animal ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBD were) (VP (VBG showing) (NP (PRP$ their) (NNS daughters)) (NP (DT an) (NN animal)))) (. .))) +1427,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",2341904462.jpg#0,contradiction,2341904462.jpg#0r1c,"Two women, each embracing a little girl, catch up at a small family gathering.","( ( ( ( ( Two women ) , ) ( each ( embracing ( a ( little girl ) ) ) ) ) , ) ( ( ( catch up ) ( at ( a ( small ( family gathering ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Two) (NNS women)) (, ,) (NP (NP (DT each)) (VP (VBG embracing) (NP (DT a) (JJ little) (NN girl)))) (, ,)) (VP (VBP catch) (PRT (RP up)) (PP (IN at) (NP (DT a) (JJ small) (NN family) (NN gathering)))) (. .)))",The women left their children behind.,( ( The women ) ( ( ( left ( their children ) ) behind ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBD left) (NP (PRP$ their) (NNS children)) (ADVP (RB behind))) (. .))) +1428,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",2341904462.jpg#3,neutral,2341904462.jpg#3r1n,Two women holding children talking to one another.,( ( ( Two women ) ( holding ( children ( talking ( to ( one another ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS women)) (VP (VBG holding) (NP (NP (NNS children)) (VP (VBG talking) (PP (TO to) (NP (CD one) (DT another)))))) (. .))),The women are having a playdate with their toddlers.,( ( The women ) ( ( are ( having ( ( a playdate ) ( with ( their toddlers ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP are) (VP (VBG having) (NP (NP (DT a) (NN playdate)) (PP (IN with) (NP (PRP$ their) (NNS toddlers)))))) (. .))) +1429,['contradiction'],2341904462.jpg#3,contradiction,2341904462.jpg#3r1c,Two women holding children talking to one another.,( ( ( Two women ) ( holding ( children ( talking ( to ( one another ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS women)) (VP (VBG holding) (NP (NP (NNS children)) (VP (VBG talking) (PP (TO to) (NP (CD one) (DT another)))))) (. .))),Two women are running at the park looking for their children.,( ( Two women ) ( ( are ( running ( at ( ( the park ) ( looking ( for ( their children ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS women)) (VP (VBP are) (VP (VBG running) (PP (IN at) (NP (NP (DT the) (NN park)) (VP (VBG looking) (PP (IN for) (NP (PRP$ their) (NNS children)))))))) (. .))) +1430,['entailment'],2341904462.jpg#3,entailment,2341904462.jpg#3r1e,Two women holding children talking to one another.,( ( ( Two women ) ( holding ( children ( talking ( to ( one another ) ) ) ) ) ) . ),(ROOT (NP (NP (CD Two) (NNS women)) (VP (VBG holding) (NP (NP (NNS children)) (VP (VBG talking) (PP (TO to) (NP (CD one) (DT another)))))) (. .))),There are at least four people.,( There ( ( are ( ( ( at least ) four ) people ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (QP (IN at) (JJS least) (CD four)) (NNS people))) (. .))) +1431,['contradiction'],2341904462.jpg#2,contradiction,2341904462.jpg#2r1c,"Two women, each with a child, look at each other.","( ( ( ( ( Two women ) , ) ( each ( with ( a child ) ) ) ) , ) ( ( look ( at ( each other ) ) ) . ) )","(ROOT (S (NP (NP (CD Two) (NNS women)) (, ,) (NP (NP (DT each)) (PP (IN with) (NP (DT a) (NN child)))) (, ,)) (VP (VBP look) (PP (IN at) (NP (DT each) (JJ other)))) (. .)))",The women have no kids,( ( The women ) ( have ( no kids ) ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP have) (NP (DT no) (NNS kids))))) +1432,['entailment'],2341904462.jpg#2,entailment,2341904462.jpg#2r1e,"Two women, each with a child, look at each other.","( ( ( ( ( Two women ) , ) ( each ( with ( a child ) ) ) ) , ) ( ( look ( at ( each other ) ) ) . ) )","(ROOT (S (NP (NP (CD Two) (NNS women)) (, ,) (NP (NP (DT each)) (PP (IN with) (NP (DT a) (NN child)))) (, ,)) (VP (VBP look) (PP (IN at) (NP (DT each) (JJ other)))) (. .)))",Women are with their kids,( Women ( are ( with ( their kids ) ) ) ),(ROOT (S (NP (NNP Women)) (VP (VBP are) (PP (IN with) (NP (PRP$ their) (NNS kids)))))) +1433,['neutral'],2341904462.jpg#2,neutral,2341904462.jpg#2r1n,"Two women, each with a child, look at each other.","( ( ( ( ( Two women ) , ) ( each ( with ( a child ) ) ) ) , ) ( ( look ( at ( each other ) ) ) . ) )","(ROOT (S (NP (NP (CD Two) (NNS women)) (, ,) (NP (NP (DT each)) (PP (IN with) (NP (DT a) (NN child)))) (, ,)) (VP (VBP look) (PP (IN at) (NP (DT each) (JJ other)))) (. .)))",The kids are small,( ( The kids ) ( are small ) ),(ROOT (S (NP (DT The) (NNS kids)) (VP (VBP are) (ADJP (JJ small))))) +1434,['contradiction'],3146232740.jpg#0,contradiction,3146232740.jpg#0r1c,A black-and-white dog carries a stick in his mouth as he swims in the clear water.,( ( A ( black-and-white dog ) ) ( ( ( ( carries ( a stick ) ) ( in ( his mouth ) ) ) ( as ( he ( swims ( in ( the ( clear water ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ black-and-white) (NN dog)) (VP (VBZ carries) (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ his) (NN mouth))) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ swims) (PP (IN in) (NP (DT the) (JJ clear) (NN water))))))) (. .))),The water is empty,( ( The water ) ( is empty ) ),(ROOT (S (NP (DT The) (NN water)) (VP (VBZ is) (ADJP (JJ empty))))) +1435,['entailment'],3146232740.jpg#0,entailment,3146232740.jpg#0r1e,A black-and-white dog carries a stick in his mouth as he swims in the clear water.,( ( A ( black-and-white dog ) ) ( ( ( ( carries ( a stick ) ) ( in ( his mouth ) ) ) ( as ( he ( swims ( in ( the ( clear water ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ black-and-white) (NN dog)) (VP (VBZ carries) (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ his) (NN mouth))) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ swims) (PP (IN in) (NP (DT the) (JJ clear) (NN water))))))) (. .))),A dog is outside,( ( A dog ) ( is outside ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (ADVP (RB outside))))) +1436,['neutral'],3146232740.jpg#0,neutral,3146232740.jpg#0r1n,A black-and-white dog carries a stick in his mouth as he swims in the clear water.,( ( A ( black-and-white dog ) ) ( ( ( ( carries ( a stick ) ) ( in ( his mouth ) ) ) ( as ( he ( swims ( in ( the ( clear water ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ black-and-white) (NN dog)) (VP (VBZ carries) (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ his) (NN mouth))) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ swims) (PP (IN in) (NP (DT the) (JJ clear) (NN water))))))) (. .))),The dog is having a great time,( ( The dog ) ( is ( having ( a ( great time ) ) ) ) ),(ROOT (S (NP (DT The) (NN dog)) (VP (VBZ is) (VP (VBG having) (NP (DT a) (JJ great) (NN time)))))) +1437,['entailment'],3146232740.jpg#1,entailment,3146232740.jpg#1r1e,A black and white dog with a stick in its mouth is swimming.,( ( ( A ( ( ( black and ) white ) dog ) ) ( with ( ( a stick ) ( in ( its mouth ) ) ) ) ) ( ( is swimming ) . ) ),(ROOT (S (NP (NP (DT A) (ADJP (JJ black) (CC and) (JJ white)) (NN dog)) (PP (IN with) (NP (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ its) (NN mouth)))))) (VP (VBZ is) (VP (VBG swimming))) (. .))),A dog with an object in it's mouth is in the water.,( ( ( A dog ) ( with ( ( an object ) ( in ( ( it 's ) mouth ) ) ) ) ) ( ( is ( in ( the water ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN dog)) (PP (IN with) (NP (NP (DT an) (NN object)) (PP (IN in) (NP (NP (PRP it) (POS 's)) (NN mouth)))))) (VP (VBZ is) (PP (IN in) (NP (DT the) (NN water)))) (. .))) +1438,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",3146232740.jpg#1,neutral,3146232740.jpg#1r1n,A black and white dog with a stick in its mouth is swimming.,( ( ( A ( ( ( black and ) white ) dog ) ) ( with ( ( a stick ) ( in ( its mouth ) ) ) ) ) ( ( is swimming ) . ) ),(ROOT (S (NP (NP (DT A) (ADJP (JJ black) (CC and) (JJ white)) (NN dog)) (PP (IN with) (NP (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ its) (NN mouth)))))) (VP (VBZ is) (VP (VBG swimming))) (. .))),A Dalmatian with a stick in its mouth is swimming slowly.,( ( ( A Dalmatian ) ( with ( ( a stick ) ( in ( its mouth ) ) ) ) ) ( ( is ( swimming slowly ) ) . ) ),(ROOT (S (NP (NP (DT A) (NNP Dalmatian)) (PP (IN with) (NP (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ its) (NN mouth)))))) (VP (VBZ is) (VP (VBG swimming) (ADVP (RB slowly)))) (. .))) +1439,['contradiction'],3146232740.jpg#1,contradiction,3146232740.jpg#1r1c,A black and white dog with a stick in its mouth is swimming.,( ( ( A ( ( ( black and ) white ) dog ) ) ( with ( ( a stick ) ( in ( its mouth ) ) ) ) ) ( ( is swimming ) . ) ),(ROOT (S (NP (NP (DT A) (ADJP (JJ black) (CC and) (JJ white)) (NN dog)) (PP (IN with) (NP (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ its) (NN mouth)))))) (VP (VBZ is) (VP (VBG swimming))) (. .))),A cat with a stick in its mouth is in a bathtub.,( ( ( A cat ) ( with ( ( a stick ) ( in ( its mouth ) ) ) ) ) ( ( is ( in ( a bathtub ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN cat)) (PP (IN with) (NP (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ its) (NN mouth)))))) (VP (VBZ is) (PP (IN in) (NP (DT a) (NN bathtub)))) (. .))) +1440,['neutral'],71007788.jpg#4,neutral,71007788.jpg#4r1n,A pirate is chasing a princess down the sidewalk.,( ( A pirate ) ( ( is ( ( chasing ( a princess ) ) ( down ( the sidewalk ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN pirate)) (VP (VBZ is) (VP (VBG chasing) (NP (DT a) (NNS princess)) (PP (IN down) (NP (DT the) (NN sidewalk))))) (. .))),Pirate chasing a peach cosplayer,( Pirate ( chasing ( a ( peach cosplayer ) ) ) ),(ROOT (NP (S (NP (NNP Pirate)) (VP (VBG chasing) (NP (DT a) (JJ peach) (NN cosplayer)))))) +1441,['contradiction'],71007788.jpg#4,contradiction,71007788.jpg#4r1c,A pirate is chasing a princess down the sidewalk.,( ( A pirate ) ( ( is ( ( chasing ( a princess ) ) ( down ( the sidewalk ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN pirate)) (VP (VBZ is) (VP (VBG chasing) (NP (DT a) (NNS princess)) (PP (IN down) (NP (DT the) (NN sidewalk))))) (. .))),Pirate doing the hokey pokey,( Pirate ( doing ( the ( hokey pokey ) ) ) ),(ROOT (NP (S (NP (NNP Pirate)) (VP (VBG doing) (NP (DT the) (JJ hokey) (NN pokey)))))) +1442,['entailment'],71007788.jpg#4,entailment,71007788.jpg#4r1e,A pirate is chasing a princess down the sidewalk.,( ( A pirate ) ( ( is ( ( chasing ( a princess ) ) ( down ( the sidewalk ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN pirate)) (VP (VBZ is) (VP (VBG chasing) (NP (DT a) (NNS princess)) (PP (IN down) (NP (DT the) (NN sidewalk))))) (. .))),Pirate on the sidewalk,( Pirate ( on ( the sidewalk ) ) ),(ROOT (NP (NP (NNP Pirate)) (PP (IN on) (NP (DT the) (NN sidewalk))))) +1443,['entailment'],3146232740.jpg#3,entailment,3146232740.jpg#3r1e,A dog is fetching a stick out of very clear water.,( ( A dog ) ( ( is ( ( ( fetching ( a stick ) ) out ) ( of ( ( very clear ) water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG fetching) (NP (DT a) (NN stick)) (PRT (RP out)) (PP (IN of) (NP (ADJP (RB very) (JJ clear)) (NN water))))) (. .))),A dog is fetching a stick out of very clear water.,( ( A dog ) ( ( is ( ( ( fetching ( a stick ) ) out ) ( of ( ( very clear ) water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG fetching) (NP (DT a) (NN stick)) (PRT (RP out)) (PP (IN of) (NP (ADJP (RB very) (JJ clear)) (NN water))))) (. .))) +1444,['neutral'],3146232740.jpg#3,neutral,3146232740.jpg#3r1n,A dog is fetching a stick out of very clear water.,( ( A dog ) ( ( is ( ( ( fetching ( a stick ) ) out ) ( of ( ( very clear ) water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG fetching) (NP (DT a) (NN stick)) (PRT (RP out)) (PP (IN of) (NP (ADJP (RB very) (JJ clear)) (NN water))))) (. .))),A dog is fetching a stick out of very clear water in the back yard.,( ( A dog ) ( ( is ( fetching ( ( a stick ) ( out ( of ( ( ( very clear ) water ) ( in ( the ( back yard ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG fetching) (NP (NP (DT a) (NN stick)) (PP (RB out) (IN of) (NP (NP (ADJP (RB very) (JJ clear)) (NN water)) (PP (IN in) (NP (DT the) (JJ back) (NN yard)))))))) (. .))) +1445,['contradiction'],3146232740.jpg#3,contradiction,3146232740.jpg#3r1c,A dog is fetching a stick out of very clear water.,( ( A dog ) ( ( is ( ( ( fetching ( a stick ) ) out ) ( of ( ( very clear ) water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG fetching) (NP (DT a) (NN stick)) (PRT (RP out)) (PP (IN of) (NP (ADJP (RB very) (JJ clear)) (NN water))))) (. .))),A dog is sleeping on the front porch.,( ( A dog ) ( ( is ( sleeping ( on ( the ( front porch ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG sleeping) (PP (IN on) (NP (DT the) (JJ front) (NN porch))))) (. .))) +1446,['contradiction'],3146232740.jpg#4,contradiction,3146232740.jpg#4r1c,A dog in the water carries a stick in his mouth.,( ( ( A dog ) ( in ( the water ) ) ) ( ( carries ( ( a stick ) ( in ( his mouth ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN dog)) (PP (IN in) (NP (DT the) (NN water)))) (VP (VBZ carries) (NP (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ his) (NN mouth))))) (. .))),A dog is going for a walk in the park.,( ( A dog ) ( ( is ( going ( for ( ( a walk ) ( in ( the park ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG going) (PP (IN for) (NP (NP (DT a) (NN walk)) (PP (IN in) (NP (DT the) (NN park))))))) (. .))) +1447,['neutral'],3146232740.jpg#4,neutral,3146232740.jpg#4r1n,A dog in the water carries a stick in his mouth.,( ( ( A dog ) ( in ( the water ) ) ) ( ( carries ( ( a stick ) ( in ( his mouth ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN dog)) (PP (IN in) (NP (DT the) (NN water)))) (VP (VBZ carries) (NP (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ his) (NN mouth))))) (. .))),A dog fetches a stick out of the lake.,( ( A dog ) ( ( fetches ( ( a stick ) ( out ( of ( the lake ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ fetches) (NP (NP (DT a) (NN stick)) (PP (RB out) (IN of) (NP (DT the) (NN lake))))) (. .))) +1448,['entailment'],3146232740.jpg#4,entailment,3146232740.jpg#4r1e,A dog in the water carries a stick in his mouth.,( ( ( A dog ) ( in ( the water ) ) ) ( ( carries ( ( a stick ) ( in ( his mouth ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN dog)) (PP (IN in) (NP (DT the) (NN water)))) (VP (VBZ carries) (NP (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ his) (NN mouth))))) (. .))),A dog carries a stick in his mouth.,( ( A dog ) ( ( carries ( ( a stick ) ( in ( his mouth ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ carries) (NP (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ his) (NN mouth))))) (. .))) +1449,['neutral'],71007788.jpg#3,neutral,71007788.jpg#3r1n,Two children are running down a sidewalk dressed in costumes.,( ( Two children ) ( ( are ( ( running down ) ( ( a sidewalk ) ( dressed ( in costumes ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS children)) (VP (VBP are) (VP (VBG running) (PRT (RP down)) (NP (NP (DT a) (NN sidewalk)) (VP (VBN dressed) (PP (IN in) (NP (NNS costumes))))))) (. .))),Kids are going to a costume party.,( Kids ( ( are ( going ( to ( a ( costume party ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Kids)) (VP (VBP are) (VP (VBG going) (PP (TO to) (NP (DT a) (JJ costume) (NN party))))) (. .))) +1450,['contradiction'],71007788.jpg#3,contradiction,71007788.jpg#3r1c,Two children are running down a sidewalk dressed in costumes.,( ( Two children ) ( ( are ( ( running down ) ( ( a sidewalk ) ( dressed ( in costumes ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS children)) (VP (VBP are) (VP (VBG running) (PRT (RP down)) (NP (NP (DT a) (NN sidewalk)) (VP (VBN dressed) (PP (IN in) (NP (NNS costumes))))))) (. .))),Kids are getting in a fight.,( Kids ( ( are ( getting ( in ( a fight ) ) ) ) . ) ),(ROOT (S (NP (NNP Kids)) (VP (VBP are) (VP (VBG getting) (PP (IN in) (NP (DT a) (NN fight))))) (. .))) +1451,['entailment'],71007788.jpg#3,entailment,71007788.jpg#3r1e,Two children are running down a sidewalk dressed in costumes.,( ( Two children ) ( ( are ( ( running down ) ( ( a sidewalk ) ( dressed ( in costumes ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS children)) (VP (VBP are) (VP (VBG running) (PRT (RP down)) (NP (NP (DT a) (NN sidewalk)) (VP (VBN dressed) (PP (IN in) (NP (NNS costumes))))))) (. .))),Two kids are running.,( ( Two kids ) ( ( are running ) . ) ),(ROOT (S (NP (CD Two) (NNS kids)) (VP (VBP are) (VP (VBG running))) (. .))) +1452,['neutral'],71007788.jpg#0,neutral,71007788.jpg#0r1n,1 little boy wearing a pirate costume following closely behind a little girl wearing a blue dress carrying a orange pumpkin bucket and walking down the sidewalk.,( ( ( 1 ( little boy ) ) ( ( wearing ( a ( pirate costume ) ) ) ( following ( closely ( behind ( ( a ( little girl ) ) ( ( ( ( wearing ( a ( blue dress ) ) ) ( carrying ( a ( orange ( pumpkin bucket ) ) ) ) ) and ) ( ( walking down ) ( the sidewalk ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (CD 1) (JJ little) (NN boy)) (VP (VBG wearing) (NP (DT a) (NN pirate) (NN costume)) (PP (VBG following) (PP (ADVP (RB closely)) (IN behind) (S (NP (DT a) (JJ little) (NN girl)) (VP (VP (VBG wearing) (NP (DT a) (JJ blue) (NN dress)) (S (VP (VBG carrying) (NP (DT a) (JJ orange) (NN pumpkin) (NN bucket))))) (CC and) (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN sidewalk)))))))) (. .))),A boy and girl trick or treating.,( ( ( A ( ( boy and ) girl ) ) ( ( trick or ) treating ) ) . ),(ROOT (NP (NP (DT A) (NN boy) (CC and) (NN girl)) (VP (VBG trick) (CC or) (VBG treating)) (. .))) +1453,['entailment'],71007788.jpg#0,entailment,71007788.jpg#0r1e,1 little boy wearing a pirate costume following closely behind a little girl wearing a blue dress carrying a orange pumpkin bucket and walking down the sidewalk.,( ( ( 1 ( little boy ) ) ( ( wearing ( a ( pirate costume ) ) ) ( following ( closely ( behind ( ( a ( little girl ) ) ( ( ( ( wearing ( a ( blue dress ) ) ) ( carrying ( a ( orange ( pumpkin bucket ) ) ) ) ) and ) ( ( walking down ) ( the sidewalk ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (CD 1) (JJ little) (NN boy)) (VP (VBG wearing) (NP (DT a) (NN pirate) (NN costume)) (PP (VBG following) (PP (ADVP (RB closely)) (IN behind) (S (NP (DT a) (JJ little) (NN girl)) (VP (VP (VBG wearing) (NP (DT a) (JJ blue) (NN dress)) (S (VP (VBG carrying) (NP (DT a) (JJ orange) (NN pumpkin) (NN bucket))))) (CC and) (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN sidewalk)))))))) (. .))),Boy in costume followed by a girl in costume.,( ( Boy ( in costume ) ) ( ( ( followed ( by ( a girl ) ) ) ( in costume ) ) . ) ),(ROOT (S (NP (NP (NNP Boy)) (PP (IN in) (NP (NN costume)))) (VP (VBD followed) (PP (IN by) (NP (DT a) (NN girl))) (PP (IN in) (NP (NN costume)))) (. .))) +1454,['contradiction'],71007788.jpg#0,contradiction,71007788.jpg#0r1c,1 little boy wearing a pirate costume following closely behind a little girl wearing a blue dress carrying a orange pumpkin bucket and walking down the sidewalk.,( ( ( 1 ( little boy ) ) ( ( wearing ( a ( pirate costume ) ) ) ( following ( closely ( behind ( ( a ( little girl ) ) ( ( ( ( wearing ( a ( blue dress ) ) ) ( carrying ( a ( orange ( pumpkin bucket ) ) ) ) ) and ) ( ( walking down ) ( the sidewalk ) ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (CD 1) (JJ little) (NN boy)) (VP (VBG wearing) (NP (DT a) (NN pirate) (NN costume)) (PP (VBG following) (PP (ADVP (RB closely)) (IN behind) (S (NP (DT a) (JJ little) (NN girl)) (VP (VP (VBG wearing) (NP (DT a) (JJ blue) (NN dress)) (S (VP (VBG carrying) (NP (DT a) (JJ orange) (NN pumpkin) (NN bucket))))) (CC and) (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN sidewalk)))))))) (. .))),A boy in a clown costume followed by a girl.,( ( ( A boy ) ( in ( a ( clown costume ) ) ) ) ( ( followed ( by ( a girl ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (DT a) (NN clown) (NN costume)))) (VP (VBD followed) (PP (IN by) (NP (DT a) (NN girl)))) (. .))) +1455,['contradiction'],71007788.jpg#1,contradiction,71007788.jpg#1r1c,A little boy in a pirate costume is running behind a little girl in a princess costume carrying an orange pumpkin along the sidewalk.,( ( ( A ( little boy ) ) ( in ( a ( pirate costume ) ) ) ) ( ( is ( ( running ( behind ( ( a ( little girl ) ) ( in ( a ( princess costume ) ) ) ) ) ) ( ( carrying ( an ( orange pumpkin ) ) ) ( along ( the sidewalk ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ little) (NN boy)) (PP (IN in) (NP (DT a) (NN pirate) (NN costume)))) (VP (VBZ is) (VP (VBG running) (PP (IN behind) (NP (NP (DT a) (JJ little) (NN girl)) (PP (IN in) (NP (DT a) (JJ princess) (NN costume))))) (S (VP (VBG carrying) (NP (DT an) (JJ orange) (NN pumpkin)) (PP (IN along) (NP (DT the) (NN sidewalk))))))) (. .))),The kids are sitting in their desks during class.,( ( The kids ) ( ( are ( ( sitting ( in ( their desks ) ) ) ( during class ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS kids)) (VP (VBP are) (VP (VBG sitting) (PP (IN in) (NP (PRP$ their) (NNS desks))) (PP (IN during) (NP (NN class))))) (. .))) +1456,['entailment'],71007788.jpg#1,entailment,71007788.jpg#1r1e,A little boy in a pirate costume is running behind a little girl in a princess costume carrying an orange pumpkin along the sidewalk.,( ( ( A ( little boy ) ) ( in ( a ( pirate costume ) ) ) ) ( ( is ( ( running ( behind ( ( a ( little girl ) ) ( in ( a ( princess costume ) ) ) ) ) ) ( ( carrying ( an ( orange pumpkin ) ) ) ( along ( the sidewalk ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ little) (NN boy)) (PP (IN in) (NP (DT a) (NN pirate) (NN costume)))) (VP (VBZ is) (VP (VBG running) (PP (IN behind) (NP (NP (DT a) (JJ little) (NN girl)) (PP (IN in) (NP (DT a) (JJ princess) (NN costume))))) (S (VP (VBG carrying) (NP (DT an) (JJ orange) (NN pumpkin)) (PP (IN along) (NP (DT the) (NN sidewalk))))))) (. .))),Two kids wearing costumes are outside.,( ( ( Two kids ) ( wearing costumes ) ) ( ( are outside ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS kids)) (VP (VBG wearing) (NP (NNS costumes)))) (VP (VBP are) (ADJP (JJ outside))) (. .))) +1457,['neutral'],71007788.jpg#1,neutral,71007788.jpg#1r1n,A little boy in a pirate costume is running behind a little girl in a princess costume carrying an orange pumpkin along the sidewalk.,( ( ( A ( little boy ) ) ( in ( a ( pirate costume ) ) ) ) ( ( is ( ( running ( behind ( ( a ( little girl ) ) ( in ( a ( princess costume ) ) ) ) ) ) ( ( carrying ( an ( orange pumpkin ) ) ) ( along ( the sidewalk ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ little) (NN boy)) (PP (IN in) (NP (DT a) (NN pirate) (NN costume)))) (VP (VBZ is) (VP (VBG running) (PP (IN behind) (NP (NP (DT a) (JJ little) (NN girl)) (PP (IN in) (NP (DT a) (JJ princess) (NN costume))))) (S (VP (VBG carrying) (NP (DT an) (JJ orange) (NN pumpkin)) (PP (IN along) (NP (DT the) (NN sidewalk))))))) (. .))),The kids are trick-or-treating for Halloween.,( ( The kids ) ( ( are ( trick-or-treating ( for Halloween ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS kids)) (VP (VBP are) (VP (VBG trick-or-treating) (PP (IN for) (NP (NNP Halloween))))) (. .))) +1458,['neutral'],7302659678.jpg#1,neutral,7302659678.jpg#1r1n,A man with a gray shirt holds a young infant in his hands.,( ( ( A man ) ( with ( a ( gray shirt ) ) ) ) ( ( holds ( ( a ( young infant ) ) ( in ( his hands ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ gray) (NN shirt)))) (VP (VBZ holds) (NP (NP (DT a) (JJ young) (NN infant)) (PP (IN in) (NP (PRP$ his) (NNS hands))))) (. .))),The man is holding his child.,( ( The man ) ( ( is ( holding ( his child ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG holding) (NP (PRP$ his) (NN child)))) (. .))) +1459,['entailment'],7302659678.jpg#1,entailment,7302659678.jpg#1r1e,A man with a gray shirt holds a young infant in his hands.,( ( ( A man ) ( with ( a ( gray shirt ) ) ) ) ( ( holds ( ( a ( young infant ) ) ( in ( his hands ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ gray) (NN shirt)))) (VP (VBZ holds) (NP (NP (DT a) (JJ young) (NN infant)) (PP (IN in) (NP (PRP$ his) (NNS hands))))) (. .))),A man is wearing a shirt.,( ( A man ) ( ( is ( wearing ( a shirt ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN shirt)))) (. .))) +1460,['contradiction'],7302659678.jpg#1,contradiction,7302659678.jpg#1r1c,A man with a gray shirt holds a young infant in his hands.,( ( ( A man ) ( with ( a ( gray shirt ) ) ) ) ( ( holds ( ( a ( young infant ) ) ( in ( his hands ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN with) (NP (DT a) (JJ gray) (NN shirt)))) (VP (VBZ holds) (NP (NP (DT a) (JJ young) (NN infant)) (PP (IN in) (NP (PRP$ his) (NNS hands))))) (. .))),The man has a yellow shirt.,( ( The man ) ( ( has ( a ( yellow shirt ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ has) (NP (DT a) (JJ yellow) (NN shirt))) (. .))) +1461,['neutral'],3067711936.jpg#4,neutral,3067711936.jpg#4r1n,"Two girls, each in a dress walking together.","( ( ( ( Two girls ) , ) ( each ( in ( ( a dress ) ( walking together ) ) ) ) ) . )","(ROOT (NP (NP (CD Two) (NNS girls)) (, ,) (NP (NP (DT each)) (PP (IN in) (NP (NP (DT a) (NN dress)) (VP (VBG walking) (ADVP (RB together)))))) (. .)))",Two girls are doing exercise to live healthy.,( ( Two girls ) ( ( are ( ( doing exercise ) ( to ( live healthy ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS girls)) (VP (VBP are) (VP (VBG doing) (NP (NN exercise)) (S (VP (TO to) (VP (VB live) (ADJP (JJ healthy))))))) (. .))) +1462,['contradiction'],3067711936.jpg#4,contradiction,3067711936.jpg#4r1c,"Two girls, each in a dress walking together.","( ( ( ( Two girls ) , ) ( each ( in ( ( a dress ) ( walking together ) ) ) ) ) . )","(ROOT (NP (NP (CD Two) (NNS girls)) (, ,) (NP (NP (DT each)) (PP (IN in) (NP (NP (DT a) (NN dress)) (VP (VBG walking) (ADVP (RB together)))))) (. .)))",Two girls slapped each other.,( ( Two girls ) ( ( slapped ( each other ) ) . ) ),(ROOT (S (NP (CD Two) (NNS girls)) (VP (VBD slapped) (NP (DT each) (JJ other))) (. .))) +1463,['entailment'],3067711936.jpg#4,entailment,3067711936.jpg#4r1e,"Two girls, each in a dress walking together.","( ( ( ( Two girls ) , ) ( each ( in ( ( a dress ) ( walking together ) ) ) ) ) . )","(ROOT (NP (NP (CD Two) (NNS girls)) (, ,) (NP (NP (DT each)) (PP (IN in) (NP (NP (DT a) (NN dress)) (VP (VBG walking) (ADVP (RB together)))))) (. .)))",Two Girls are doing exercise.,( ( Two Girls ) ( ( are ( doing exercise ) ) . ) ),(ROOT (S (NP (CD Two) (NNS Girls)) (VP (VBP are) (VP (VBG doing) (NP (NN exercise)))) (. .))) +1464,['neutral'],533713001.jpg#3,neutral,533713001.jpg#3r1n,A group of people are sitting around a table under a blue sunshade.,( ( ( A group ) ( of people ) ) ( ( are ( ( sitting ( around ( a table ) ) ) ( under ( a ( blue sunshade ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG sitting) (PP (IN around) (NP (DT a) (NN table))) (PP (IN under) (NP (DT a) (JJ blue) (NN sunshade))))) (. .))),people having barbecue,( people ( having barbecue ) ),(ROOT (NP (S (NP (NNS people)) (VP (VBG having) (NP (NN barbecue)))))) +1465,['contradiction'],533713001.jpg#3,contradiction,533713001.jpg#3r1c,A group of people are sitting around a table under a blue sunshade.,( ( ( A group ) ( of people ) ) ( ( are ( ( sitting ( around ( a table ) ) ) ( under ( a ( blue sunshade ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG sitting) (PP (IN around) (NP (DT a) (NN table))) (PP (IN under) (NP (DT a) (JJ blue) (NN sunshade))))) (. .))),girl plays nintendo,( girl ( plays nintendo ) ),(ROOT (S (NP (NN girl)) (VP (VBZ plays) (NP (NN nintendo))))) +1466,['entailment'],533713001.jpg#3,entailment,533713001.jpg#3r1e,A group of people are sitting around a table under a blue sunshade.,( ( ( A group ) ( of people ) ) ( ( are ( ( sitting ( around ( a table ) ) ) ( under ( a ( blue sunshade ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG sitting) (PP (IN around) (NP (DT a) (NN table))) (PP (IN under) (NP (DT a) (JJ blue) (NN sunshade))))) (. .))),people sit around table,( people ( sit ( around table ) ) ),(ROOT (S (NP (NNS people)) (VP (VBP sit) (PP (IN around) (NP (NN table)))))) +1467,['entailment'],3351667846.jpg#4,entailment,3351667846.jpg#4r1e,People in line for plates of rice.,( ( ( People ( in line ) ) ( for ( plates ( of rice ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (PP (IN in) (NP (NN line))) (PP (IN for) (NP (NP (NNS plates)) (PP (IN of) (NP (NN rice))))) (. .))),People are waiting to eat.,( People ( ( are ( waiting ( to eat ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG waiting) (S (VP (TO to) (VP (VB eat)))))) (. .))) +1468,['neutral'],3351667846.jpg#4,neutral,3351667846.jpg#4r1n,People in line for plates of rice.,( ( ( People ( in line ) ) ( for ( plates ( of rice ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (PP (IN in) (NP (NN line))) (PP (IN for) (NP (NP (NNS plates)) (PP (IN of) (NP (NN rice))))) (. .))),People in line at a soup kitchen.,( ( ( People ( in line ) ) ( at ( a ( soup kitchen ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (PP (IN in) (NP (NN line))) (PP (IN at) (NP (DT a) (NN soup) (NN kitchen))) (. .))) +1469,['contradiction'],3351667846.jpg#4,contradiction,3351667846.jpg#4r1c,People in line for plates of rice.,( ( ( People ( in line ) ) ( for ( plates ( of rice ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (PP (IN in) (NP (NN line))) (PP (IN for) (NP (NP (NNS plates)) (PP (IN of) (NP (NN rice))))) (. .))),People are sitting down eating.,( People ( ( are ( ( sitting down ) eating ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG sitting) (PRT (RP down)) (S (VP (VBG eating))))) (. .))) +1470,['neutral'],4738240252.jpg#4,neutral,4738240252.jpg#4r1n,People sitting down to eat.,( ( People ( ( sitting down ) ( to eat ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG sitting) (PRT (RP down)) (S (VP (TO to) (VP (VB eat))))) (. .))),The wedding party guests sit down to enjoy the feast.,( ( The ( wedding ( party guests ) ) ) ( ( ( sit down ) ( to ( enjoy ( the feast ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN wedding) (NN party) (NNS guests)) (VP (VBP sit) (PRT (RP down)) (S (VP (TO to) (VP (VB enjoy) (NP (DT the) (NN feast)))))) (. .))) +1471,['entailment'],4738240252.jpg#4,entailment,4738240252.jpg#4r1e,People sitting down to eat.,( ( People ( ( sitting down ) ( to eat ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG sitting) (PRT (RP down)) (S (VP (TO to) (VP (VB eat))))) (. .))),People are about to eat.,( People ( ( are ( about ( to eat ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (IN about) (S (VP (TO to) (VP (VB eat)))))) (. .))) +1472,['contradiction'],4738240252.jpg#4,contradiction,4738240252.jpg#4r1c,People sitting down to eat.,( ( People ( ( sitting down ) ( to eat ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG sitting) (PRT (RP down)) (S (VP (TO to) (VP (VB eat))))) (. .))),People milling about after a concert.,( ( People ( ( milling about ) ( after ( a concert ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (VP (VBG milling) (IN about) (PP (IN after) (NP (DT a) (NN concert)))) (. .))) +1473,['entailment'],4738240252.jpg#1,entailment,4738240252.jpg#1r1e,Several men sit outside on brick ledges built around tall trees.,( ( Several men ) ( ( ( sit outside ) ( on ( ( brick ledges ) ( built ( around ( tall trees ) ) ) ) ) ) . ) ),(ROOT (S (NP (JJ Several) (NNS men)) (VP (VBP sit) (ADVP (RB outside)) (PP (IN on) (NP (NP (NN brick) (NNS ledges)) (VP (VBN built) (PP (IN around) (NP (JJ tall) (NNS trees))))))) (. .))),Some men are sitting outdoors.,( ( Some men ) ( ( are ( sitting outdoors ) ) . ) ),(ROOT (S (NP (DT Some) (NNS men)) (VP (VBP are) (VP (VBG sitting) (ADVP (RB outdoors)))) (. .))) +1474,['neutral'],4738240252.jpg#1,neutral,4738240252.jpg#1r1n,Several men sit outside on brick ledges built around tall trees.,( ( Several men ) ( ( ( sit outside ) ( on ( ( brick ledges ) ( built ( around ( tall trees ) ) ) ) ) ) . ) ),(ROOT (S (NP (JJ Several) (NNS men)) (VP (VBP sit) (ADVP (RB outside)) (PP (IN on) (NP (NP (NN brick) (NNS ledges)) (VP (VBN built) (PP (IN around) (NP (JJ tall) (NNS trees))))))) (. .))),The men just got done working.,( ( The men ) ( just ( ( got ( done working ) ) . ) ) ),(ROOT (S (NP (DT The) (NNS men)) (ADVP (RB just)) (VP (VBD got) (VP (VBN done) (S (VP (VBG working))))) (. .))) +1475,['contradiction'],4738240252.jpg#1,contradiction,4738240252.jpg#1r1c,Several men sit outside on brick ledges built around tall trees.,( ( Several men ) ( ( ( sit outside ) ( on ( ( brick ledges ) ( built ( around ( tall trees ) ) ) ) ) ) . ) ),(ROOT (S (NP (JJ Several) (NNS men)) (VP (VBP sit) (ADVP (RB outside)) (PP (IN on) (NP (NP (NN brick) (NNS ledges)) (VP (VBN built) (PP (IN around) (NP (JJ tall) (NNS trees))))))) (. .))),The men are chopping down the trees.,( ( The men ) ( ( are ( ( chopping down ) ( the trees ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (VP (VBG chopping) (PRT (RP down)) (NP (DT the) (NNS trees)))) (. .))) +1476,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",4738240252.jpg#0,neutral,4738240252.jpg#0r1n,Workers are eating a meal while one man sits on a pile of plywood.,( Workers ( ( are ( ( eating ( a meal ) ) ( while ( ( one man ) ( sits ( on ( ( a pile ) ( of plywood ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG eating) (NP (DT a) (NN meal)) (SBAR (IN while) (S (NP (CD one) (NN man)) (VP (VBZ sits) (PP (IN on) (NP (NP (DT a) (NN pile)) (PP (IN of) (NP (NN plywood)))))))))) (. .))),Workers are outside at a construction zone.,( Workers ( ( ( are outside ) ( at ( a ( construction zone ) ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (ADVP (RB outside)) (PP (IN at) (NP (DT a) (NN construction) (NN zone)))) (. .))) +1477,['entailment'],4738240252.jpg#0,entailment,4738240252.jpg#0r1e,Workers are eating a meal while one man sits on a pile of plywood.,( Workers ( ( are ( ( eating ( a meal ) ) ( while ( ( one man ) ( sits ( on ( ( a pile ) ( of plywood ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG eating) (NP (DT a) (NN meal)) (SBAR (IN while) (S (NP (CD one) (NN man)) (VP (VBZ sits) (PP (IN on) (NP (NP (DT a) (NN pile)) (PP (IN of) (NP (NN plywood)))))))))) (. .))),Workers are resting during a meal break.,( Workers ( ( are ( resting ( during ( a ( meal break ) ) ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG resting) (PP (IN during) (NP (DT a) (NN meal) (NN break))))) (. .))) +1478,['contradiction'],4738240252.jpg#0,contradiction,4738240252.jpg#0r1c,Workers are eating a meal while one man sits on a pile of plywood.,( Workers ( ( are ( ( eating ( a meal ) ) ( while ( ( one man ) ( sits ( on ( ( a pile ) ( of plywood ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG eating) (NP (DT a) (NN meal)) (SBAR (IN while) (S (NP (CD one) (NN man)) (VP (VBZ sits) (PP (IN on) (NP (NP (DT a) (NN pile)) (PP (IN of) (NP (NN plywood)))))))))) (. .))),Workers are talking and sitting on metal beams.,( Workers ( ( are ( ( ( talking and ) sitting ) ( on ( metal beams ) ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG talking) (CC and) (VBG sitting) (PP (IN on) (NP (NN metal) (NNS beams))))) (. .))) +1479,['contradiction'],4738240252.jpg#3,contradiction,4738240252.jpg#3r1c,Workers are taking a break during midday.,( Workers ( ( are ( ( taking ( a break ) ) ( during midday ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG taking) (NP (DT a) (NN break)) (PP (IN during) (NP (NN midday))))) (. .))),Workers are diligently building a house.,( Workers ( ( ( are diligently ) ( building ( a house ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (ADVP (RB diligently)) (VP (VBG building) (NP (DT a) (NN house)))) (. .))) +1480,['neutral'],4738240252.jpg#3,neutral,4738240252.jpg#3r1n,Workers are taking a break during midday.,( Workers ( ( are ( ( taking ( a break ) ) ( during midday ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG taking) (NP (DT a) (NN break)) (PP (IN during) (NP (NN midday))))) (. .))),Workers are eating sandwiches on break.,( Workers ( ( are ( ( eating sandwiches ) ( on break ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG eating) (NP (NNS sandwiches)) (PP (IN on) (NP (NN break))))) (. .))) +1481,['entailment'],4738240252.jpg#3,entailment,4738240252.jpg#3r1e,Workers are taking a break during midday.,( Workers ( ( are ( ( taking ( a break ) ) ( during midday ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG taking) (NP (DT a) (NN break)) (PP (IN during) (NP (NN midday))))) (. .))),Workers are on break.,( Workers ( ( are ( on break ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (PP (IN on) (NP (NN break)))) (. .))) +1482,['contradiction'],4738240252.jpg#2,contradiction,4738240252.jpg#2r1c,Workers are sitting next to a work zone eating food.,( Workers ( ( are ( sitting ( next ( to ( ( a ( work zone ) ) ( eating food ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG sitting) (ADVP (JJ next) (PP (TO to) (NP (NP (DT a) (NN work) (NN zone)) (VP (VBG eating) (NP (NN food)))))))) (. .))),the workers are sitting eating food,( ( the workers ) ( are ( sitting ( eating food ) ) ) ),(ROOT (S (NP (DT the) (NNS workers)) (VP (VBP are) (VP (VBG sitting) (S (VP (VBG eating) (NP (NN food)))))))) +1483,['neutral'],4738240252.jpg#2,neutral,4738240252.jpg#2r1n,Workers are sitting next to a work zone eating food.,( Workers ( ( are ( sitting ( next ( to ( ( a ( work zone ) ) ( eating food ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG sitting) (ADVP (JJ next) (PP (TO to) (NP (NP (DT a) (NN work) (NN zone)) (VP (VBG eating) (NP (NN food)))))))) (. .))),the workers are finished the work,( ( the workers ) ( are ( finished ( the work ) ) ) ),(ROOT (S (NP (DT the) (NNS workers)) (VP (VBP are) (VP (VBN finished) (NP (DT the) (NN work)))))) +1484,['entailment'],4738240252.jpg#2,entailment,4738240252.jpg#2r1e,Workers are sitting next to a work zone eating food.,( Workers ( ( are ( sitting ( next ( to ( ( a ( work zone ) ) ( eating food ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNPS Workers)) (VP (VBP are) (VP (VBG sitting) (ADVP (JJ next) (PP (TO to) (NP (NP (DT a) (NN work) (NN zone)) (VP (VBG eating) (NP (NN food)))))))) (. .))),the workers are waiting for next work,( ( the workers ) ( are ( waiting ( for ( next work ) ) ) ) ),(ROOT (S (NP (DT the) (NNS workers)) (VP (VBP are) (VP (VBG waiting) (PP (IN for) (NP (JJ next) (NN work))))))) +1485,['neutral'],3488512097.jpg#3,neutral,3488512097.jpg#3r1n,Biker riding dirt bike on dirt track,( Biker ( ( riding ( dirt bike ) ) ( on ( dirt track ) ) ) ),(ROOT (S (VP (VB Biker) (S (VP (VBG riding) (NP (NN dirt) (NN bike)) (PP (IN on) (NP (NN dirt) (NN track)))))))),He winning the race.,( He ( ( winning ( the race ) ) . ) ),(ROOT (S (NP (PRP He)) (VP (VBG winning) (NP (DT the) (NN race))) (. .))) +1486,['contradiction'],3488512097.jpg#3,contradiction,3488512097.jpg#3r1c,Biker riding dirt bike on dirt track,( Biker ( ( riding ( dirt bike ) ) ( on ( dirt track ) ) ) ),(ROOT (S (VP (VB Biker) (S (VP (VBG riding) (NP (NN dirt) (NN bike)) (PP (IN on) (NP (NN dirt) (NN track)))))))),He is paddling a canoe.,( He ( ( is ( paddling ( a canoe ) ) ) . ) ),(ROOT (S (NP (PRP He)) (VP (VBZ is) (VP (VBG paddling) (NP (DT a) (NN canoe)))) (. .))) +1487,['entailment'],3488512097.jpg#3,entailment,3488512097.jpg#3r1e,Biker riding dirt bike on dirt track,( Biker ( ( riding ( dirt bike ) ) ( on ( dirt track ) ) ) ),(ROOT (S (VP (VB Biker) (S (VP (VBG riding) (NP (NN dirt) (NN bike)) (PP (IN on) (NP (NN dirt) (NN track)))))))),Human rides two wheeled vehicle.,( ( ( Human rides ) two ) ( ( wheeled vehicle ) . ) ),(ROOT (S (NP (NP (JJ Human) (NNS rides)) (NP (CD two))) (VP (VBD wheeled) (NP (NN vehicle))) (. .))) +1488,['entailment'],3488512097.jpg#2,entailment,3488512097.jpg#2r1e,A motorcycle racer is in action at the track.,( ( A ( motorcycle racer ) ) ( ( is ( in ( action ( at ( the track ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN motorcycle) (NN racer)) (VP (VBZ is) (PP (IN in) (NP (NP (NN action)) (PP (IN at) (NP (DT the) (NN track)))))) (. .))),The racer is driving.,( ( The racer ) ( ( is driving ) . ) ),(ROOT (S (NP (DT The) (NN racer)) (VP (VBZ is) (VP (VBG driving))) (. .))) +1489,['contradiction'],3488512097.jpg#2,contradiction,3488512097.jpg#2r1c,A motorcycle racer is in action at the track.,( ( A ( motorcycle racer ) ) ( ( is ( in ( action ( at ( the track ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN motorcycle) (NN racer)) (VP (VBZ is) (PP (IN in) (NP (NP (NN action)) (PP (IN at) (NP (DT the) (NN track)))))) (. .))),The motorcycle racer is running,( ( The ( motorcycle racer ) ) ( is running ) ),(ROOT (S (NP (DT The) (NN motorcycle) (NN racer)) (VP (VBZ is) (VP (VBG running))))) +1490,['neutral'],3488512097.jpg#2,neutral,3488512097.jpg#2r1n,A motorcycle racer is in action at the track.,( ( A ( motorcycle racer ) ) ( ( is ( in ( action ( at ( the track ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN motorcycle) (NN racer)) (VP (VBZ is) (PP (IN in) (NP (NP (NN action)) (PP (IN at) (NP (DT the) (NN track)))))) (. .))),The racer is wearing a suit.,( ( The racer ) ( ( is ( wearing ( a suit ) ) ) . ) ),(ROOT (S (NP (DT The) (NN racer)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN suit)))) (. .))) +1491,['contradiction'],242558556.jpg#1,contradiction,242558556.jpg#1r1c,A blond woman with her hair up is taking off a white sweatshirt.,( ( ( A ( blond woman ) ) ( with ( her hair ) ) ) ( up ( ( is ( ( taking off ) ( a ( white sweatshirt ) ) ) ) . ) ) ),(ROOT (S (NP (NP (DT A) (JJ blond) (NN woman)) (PP (IN with) (NP (PRP$ her) (NN hair)))) (ADVP (RB up)) (VP (VBZ is) (VP (VBG taking) (PRT (RP off)) (NP (DT a) (JJ white) (NN sweatshirt)))) (. .))),A woman is taking off a blue shirt.,( ( A woman ) ( ( is ( ( taking off ) ( a ( blue shirt ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG taking) (PRT (RP off)) (NP (DT a) (JJ blue) (NN shirt)))) (. .))) +1492,['neutral'],242558556.jpg#1,neutral,242558556.jpg#1r1n,A blond woman with her hair up is taking off a white sweatshirt.,( ( ( A ( blond woman ) ) ( with ( her hair ) ) ) ( up ( ( is ( ( taking off ) ( a ( white sweatshirt ) ) ) ) . ) ) ),(ROOT (S (NP (NP (DT A) (JJ blond) (NN woman)) (PP (IN with) (NP (PRP$ her) (NN hair)))) (ADVP (RB up)) (VP (VBZ is) (VP (VBG taking) (PRT (RP off)) (NP (DT a) (JJ white) (NN sweatshirt)))) (. .))),A woman is getting undressed.,( ( A woman ) ( ( is ( getting undressed ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG getting) (ADVP (RB undressed)))) (. .))) +1493,['entailment'],242558556.jpg#1,entailment,242558556.jpg#1r1e,A blond woman with her hair up is taking off a white sweatshirt.,( ( ( A ( blond woman ) ) ( with ( her hair ) ) ) ( up ( ( is ( ( taking off ) ( a ( white sweatshirt ) ) ) ) . ) ) ),(ROOT (S (NP (NP (DT A) (JJ blond) (NN woman)) (PP (IN with) (NP (PRP$ her) (NN hair)))) (ADVP (RB up)) (VP (VBZ is) (VP (VBG taking) (PRT (RP off)) (NP (DT a) (JJ white) (NN sweatshirt)))) (. .))),A woman is blonde,( ( A woman ) ( is blonde ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (ADJP (JJ blonde))))) +1494,['neutral'],2124040721.jpg#0,neutral,2124040721.jpg#0r1n,A person is a red hat and winter jacket is looking into the distance.,( ( A person ) ( ( is ( ( a ( red ( hat ( and ( winter jacket ) ) ) ) ) ( is ( looking ( into ( the distance ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (NP (NP (DT a) (JJ red) (NN hat) (CC and) (NN winter) (NN jacket)) (SBAR (S (VP (VBZ is) (VP (VBG looking) (PP (IN into) (NP (DT the) (NN distance))))))))) (. .))),A farmer stares to see if he can see his cattle herd.,( ( A farmer ) ( ( stares ( to ( see ( if ( he ( can ( see ( his ( cattle herd ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN farmer)) (VP (VBD stares) (S (VP (TO to) (VP (VB see) (SBAR (IN if) (S (NP (PRP he)) (VP (MD can) (VP (VB see) (NP (PRP$ his) (NNS cattle) (NN herd)))))))))) (. .))) +1495,['entailment'],2124040721.jpg#0,entailment,2124040721.jpg#0r1e,A person is a red hat and winter jacket is looking into the distance.,( ( A person ) ( ( is ( ( a ( red ( hat ( and ( winter jacket ) ) ) ) ) ( is ( looking ( into ( the distance ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (NP (NP (DT a) (JJ red) (NN hat) (CC and) (NN winter) (NN jacket)) (SBAR (S (VP (VBZ is) (VP (VBG looking) (PP (IN into) (NP (DT the) (NN distance))))))))) (. .))),The person stares off into the distance.,( ( The person ) ( ( ( stares off ) ( into ( the distance ) ) ) . ) ),(ROOT (S (NP (DT The) (NN person)) (VP (VBD stares) (PRT (RP off)) (PP (IN into) (NP (DT the) (NN distance)))) (. .))) +1496,['contradiction'],2124040721.jpg#0,contradiction,2124040721.jpg#0r1c,A person is a red hat and winter jacket is looking into the distance.,( ( A person ) ( ( is ( ( a ( red ( hat ( and ( winter jacket ) ) ) ) ) ( is ( looking ( into ( the distance ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (NP (NP (DT a) (JJ red) (NN hat) (CC and) (NN winter) (NN jacket)) (SBAR (S (VP (VBZ is) (VP (VBG looking) (PP (IN into) (NP (DT the) (NN distance))))))))) (. .))),A man sends a telegram.,( ( A man ) ( ( sends ( a telegram ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ sends) (NP (DT a) (NN telegram))) (. .))) +1497,['contradiction'],3488512097.jpg#4,contradiction,3488512097.jpg#4r5c,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),The man is in a car.,( ( The man ) ( ( is ( in ( a car ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (PP (IN in) (NP (DT a) (NN car)))) (. .))) +1498,['neutral'],3488512097.jpg#4,neutral,3488512097.jpg#4r3n,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),A man is riding a dirtbike with his friend.,( ( A man ) ( ( is ( ( riding ( a dirtbike ) ) ( with ( his friend ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG riding) (NP (DT a) (NN dirtbike)) (PP (IN with) (NP (PRP$ his) (NN friend))))) (. .))) +1499,['neutral'],3488512097.jpg#4,neutral,3488512097.jpg#4r4n,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),The man is accelerating on the dirt bike.,( ( The man ) ( ( is ( accelerating ( on ( the ( dirt bike ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG accelerating) (PP (IN on) (NP (DT the) (NN dirt) (NN bike))))) (. .))) +1500,['neutral'],3488512097.jpg#4,neutral,3488512097.jpg#4r1n,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),Man riding bike at park,( Man ( ( riding bike ) ( at park ) ) ),(ROOT (NP (NP (NNP Man)) (NP (NP (NN riding) (NN bike)) (PP (IN at) (NP (NN park)))))) +1501,['contradiction'],3488512097.jpg#4,contradiction,3488512097.jpg#4r4c,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),The man is walking.,( ( The man ) ( ( is walking ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG walking))) (. .))) +1502,['contradiction'],3488512097.jpg#4,contradiction,3488512097.jpg#4r3c,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),A man is swimming.,( ( A man ) ( ( is swimming ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG swimming))) (. .))) +1503,['neutral'],3488512097.jpg#4,neutral,3488512097.jpg#4r2n,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),A biker is racing his dirt bike on a course.,( ( A biker ) ( ( is ( ( racing ( his ( dirt bike ) ) ) ( on ( a course ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN biker)) (VP (VBZ is) (VP (VBG racing) (NP (PRP$ his) (NN dirt) (NN bike)) (PP (IN on) (NP (DT a) (NN course))))) (. .))) +1504,['contradiction'],3488512097.jpg#4,contradiction,3488512097.jpg#4r2c,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),A man is driving a car.,( ( A man ) ( ( is ( driving ( a car ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG driving) (NP (DT a) (NN car)))) (. .))) +1505,['entailment'],3488512097.jpg#4,entailment,3488512097.jpg#4r2e,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),A human is riding a vehicle.,( ( A human ) ( ( is ( riding ( a vehicle ) ) ) . ) ),(ROOT (S (NP (DT A) (NN human)) (VP (VBZ is) (VP (VBG riding) (NP (DT a) (NN vehicle)))) (. .))) +1506,['entailment'],3488512097.jpg#4,entailment,3488512097.jpg#4r3e,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),A man is outside.,( ( A man ) ( ( is outside ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (ADVP (RB outside))) (. .))) +1507,['contradiction'],3488512097.jpg#4,contradiction,3488512097.jpg#4r1c,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),Woman riding bike,( Woman ( riding bike ) ),(ROOT (NP (S (NP (NNP Woman)) (VP (VBG riding) (NP (NN bike)))))) +1508,['neutral'],3488512097.jpg#4,neutral,3488512097.jpg#4r5n,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),The man is racing the dirt bike.,( ( The man ) ( ( is ( racing ( the ( dirt bike ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG racing) (NP (DT the) (NN dirt) (NN bike)))) (. .))) +1509,['entailment'],3488512097.jpg#4,entailment,3488512097.jpg#4r1e,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),Man riding bike,( Man ( riding bike ) ),(ROOT (NP (S (NP (NNP Man)) (VP (VBG riding) (NP (NN bike)))))) +1510,['entailment'],3488512097.jpg#4,entailment,3488512097.jpg#4r5e,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),A man is on a dirt bike.,( ( A man ) ( ( is ( on ( a ( dirt bike ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (PP (IN on) (NP (DT a) (NN dirt) (NN bike)))) (. .))) +1511,['entailment'],3488512097.jpg#4,entailment,3488512097.jpg#4r4e,A man riding a dirt bike,( A ( man ( riding ( a ( dirt bike ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN man) (S (VP (VBG riding) (NP (DT a) (NN dirt) (NN bike))))))),A guy is driving a dirt bike.,( ( A guy ) ( ( is ( driving ( a ( dirt bike ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN guy)) (VP (VBZ is) (VP (VBG driving) (NP (DT a) (NN dirt) (NN bike)))) (. .))) +1512,['neutral'],2503250992.jpg#0,neutral,2503250992.jpg#0r1n,"A man is sitting with his head facing down, while other people are looking in his direction.","( ( A man ) ( ( is ( ( sitting ( with ( his head ) ) ) ( ( ( facing down ) , ) ( while ( ( other people ) ( are ( looking ( in ( his direction ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN with) (NP (PRP$ his) (NN head))) (S (VP (VBG facing) (PRT (RP down)) (, ,) (SBAR (IN while) (S (NP (JJ other) (NNS people)) (VP (VBP are) (VP (VBG looking) (PP (IN in) (NP (PRP$ his) (NN direction))))))))))) (. .)))",The man is making a scene.,( ( The man ) ( ( is ( making ( a scene ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG making) (NP (DT a) (NN scene)))) (. .))) +1513,['entailment'],2503250992.jpg#0,entailment,2503250992.jpg#0r1e,"A man is sitting with his head facing down, while other people are looking in his direction.","( ( A man ) ( ( is ( ( sitting ( with ( his head ) ) ) ( ( ( facing down ) , ) ( while ( ( other people ) ( are ( looking ( in ( his direction ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN with) (NP (PRP$ his) (NN head))) (S (VP (VBG facing) (PRT (RP down)) (, ,) (SBAR (IN while) (S (NP (JJ other) (NNS people)) (VP (VBP are) (VP (VBG looking) (PP (IN in) (NP (PRP$ his) (NN direction))))))))))) (. .)))",The man is being stared at.,( ( The man ) ( ( is ( being ( stared at ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG being) (VP (VBN stared) (PP (IN at))))) (. .))) +1514,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",2503250992.jpg#0,contradiction,2503250992.jpg#0r1c,"A man is sitting with his head facing down, while other people are looking in his direction.","( ( A man ) ( ( is ( ( sitting ( with ( his head ) ) ) ( ( ( facing down ) , ) ( while ( ( other people ) ( are ( looking ( in ( his direction ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN with) (NP (PRP$ his) (NN head))) (S (VP (VBG facing) (PRT (RP down)) (, ,) (SBAR (IN while) (S (NP (JJ other) (NNS people)) (VP (VBP are) (VP (VBG looking) (PP (IN in) (NP (PRP$ his) (NN direction))))))))))) (. .)))",The man is staring everyone down.,( ( The man ) ( ( is ( ( staring everyone ) down ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG staring) (NP (NN everyone)) (PRT (RP down)))) (. .))) +1515,['neutral'],4569102627.jpg#3,neutral,4569102627.jpg#3r1n,Small blond-haired girl drinking a glass of juice.,( ( ( Small ( blond-haired girl ) ) ( drinking ( ( a glass ) ( of juice ) ) ) ) . ),(ROOT (NP (NP (JJ Small) (JJ blond-haired) (NN girl)) (VP (VBG drinking) (NP (NP (DT a) (NN glass)) (PP (IN of) (NP (NN juice))))) (. .))),The girl is sitting on a swing.,( ( The girl ) ( ( is ( sitting ( on ( a swing ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN girl)) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN swing))))) (. .))) +1516,['contradiction'],4569102627.jpg#3,contradiction,4569102627.jpg#3r1c,Small blond-haired girl drinking a glass of juice.,( ( ( Small ( blond-haired girl ) ) ( drinking ( ( a glass ) ( of juice ) ) ) ) . ),(ROOT (NP (NP (JJ Small) (JJ blond-haired) (NN girl)) (VP (VBG drinking) (NP (NP (DT a) (NN glass)) (PP (IN of) (NP (NN juice))))) (. .))),The girl drinking the juice has brown hair.,( ( ( The girl ) ( drinking ( the juice ) ) ) ( ( has ( brown hair ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN girl)) (VP (VBG drinking) (NP (DT the) (NN juice)))) (VP (VBZ has) (NP (JJ brown) (NN hair))) (. .))) +1517,['entailment'],4569102627.jpg#3,entailment,4569102627.jpg#3r1e,Small blond-haired girl drinking a glass of juice.,( ( ( Small ( blond-haired girl ) ) ( drinking ( ( a glass ) ( of juice ) ) ) ) . ),(ROOT (NP (NP (JJ Small) (JJ blond-haired) (NN girl)) (VP (VBG drinking) (NP (NP (DT a) (NN glass)) (PP (IN of) (NP (NN juice))))) (. .))),A girl is holding a glass.,( ( A girl ) ( ( is ( holding ( a glass ) ) ) . ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBZ is) (VP (VBG holding) (NP (DT a) (NN glass)))) (. .))) +1518,['entailment'],3375014075.jpg#4,entailment,3375014075.jpg#4r1e,A person in a red coat and a running black and brown dog.,( ( ( A person ) ( in ( ( ( a ( red coat ) ) and ) ( a ( running ( ( ( black and ) brown ) dog ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN person)) (PP (IN in) (NP (NP (DT a) (JJ red) (NN coat)) (CC and) (NP (DT a) (VBG running) (ADJP (JJ black) (CC and) (JJ brown)) (NN dog)))) (. .))),A person in a red dress is running behind a black animal.,( ( ( A person ) ( in ( a ( red dress ) ) ) ) ( ( is ( running ( behind ( a ( black animal ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN in) (NP (DT a) (JJ red) (NN dress)))) (VP (VBZ is) (VP (VBG running) (PP (IN behind) (NP (DT a) (JJ black) (NN animal))))) (. .))) +1519,['neutral'],3375014075.jpg#4,neutral,3375014075.jpg#4r1n,A person in a red coat and a running black and brown dog.,( ( ( A person ) ( in ( ( ( a ( red coat ) ) and ) ( a ( running ( ( ( black and ) brown ) dog ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN person)) (PP (IN in) (NP (NP (DT a) (JJ red) (NN coat)) (CC and) (NP (DT a) (VBG running) (ADJP (JJ black) (CC and) (JJ brown)) (NN dog)))) (. .))),A person in a red dress is trying to catch a dog.,( ( ( A person ) ( in ( a ( red dress ) ) ) ) ( ( is ( trying ( to ( catch ( a dog ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN in) (NP (DT a) (JJ red) (NN dress)))) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB catch) (NP (DT a) (NN dog))))))) (. .))) +1520,"['contradiction', 'contradiction', 'contradiction', 'contradiction']",3375014075.jpg#4,contradiction,3375014075.jpg#4r1c,A person in a red coat and a running black and brown dog.,( ( ( A person ) ( in ( ( ( a ( red coat ) ) and ) ( a ( running ( ( ( black and ) brown ) dog ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN person)) (PP (IN in) (NP (NP (DT a) (JJ red) (NN coat)) (CC and) (NP (DT a) (VBG running) (ADJP (JJ black) (CC and) (JJ brown)) (NN dog)))) (. .))),A person in a red dress is cooking.,( ( ( A person ) ( in ( a ( red dress ) ) ) ) ( ( is cooking ) . ) ),(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN in) (NP (DT a) (JJ red) (NN dress)))) (VP (VBZ is) (VP (VBG cooking))) (. .))) +1521,['entailment'],3375014075.jpg#1,entailment,3375014075.jpg#1r1e,a woman in a red jacket watches as a black and brown dog runs away from her in woodland clearing.,( ( ( a woman ) ( in ( a ( red jacket ) ) ) ) ( ( watches ( as ( ( a ( ( ( black and ) brown ) dog ) ) ( ( ( runs away ) ( from her ) ) ( in ( woodland clearing ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT a) (JJ red) (NN jacket)))) (VP (VBZ watches) (SBAR (IN as) (S (NP (DT a) (ADJP (JJ black) (CC and) (JJ brown)) (NN dog)) (VP (VBZ runs) (PRT (RP away)) (PP (IN from) (NP (PRP her))) (PP (IN in) (NP (JJ woodland) (NN clearing))))))) (. .))),A woman is wearing a red jacket,( ( A woman ) ( is ( wearing ( a ( red jacket ) ) ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ red) (NN jacket)))))) +1522,['contradiction'],3375014075.jpg#1,contradiction,3375014075.jpg#1r1c,a woman in a red jacket watches as a black and brown dog runs away from her in woodland clearing.,( ( ( a woman ) ( in ( a ( red jacket ) ) ) ) ( ( watches ( as ( ( a ( ( ( black and ) brown ) dog ) ) ( ( ( runs away ) ( from her ) ) ( in ( woodland clearing ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT a) (JJ red) (NN jacket)))) (VP (VBZ watches) (SBAR (IN as) (S (NP (DT a) (ADJP (JJ black) (CC and) (JJ brown)) (NN dog)) (VP (VBZ runs) (PRT (RP away)) (PP (IN from) (NP (PRP her))) (PP (IN in) (NP (JJ woodland) (NN clearing))))))) (. .))),A woman is wearing a blue jacket,( ( A woman ) ( is ( wearing ( a ( blue jacket ) ) ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN jacket)))))) +1523,['neutral'],3375014075.jpg#1,neutral,3375014075.jpg#1r1n,a woman in a red jacket watches as a black and brown dog runs away from her in woodland clearing.,( ( ( a woman ) ( in ( a ( red jacket ) ) ) ) ( ( watches ( as ( ( a ( ( ( black and ) brown ) dog ) ) ( ( ( runs away ) ( from her ) ) ( in ( woodland clearing ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT a) (JJ red) (NN jacket)))) (VP (VBZ watches) (SBAR (IN as) (S (NP (DT a) (ADJP (JJ black) (CC and) (JJ brown)) (NN dog)) (VP (VBZ runs) (PRT (RP away)) (PP (IN from) (NP (PRP her))) (PP (IN in) (NP (JJ woodland) (NN clearing))))))) (. .))),A woman has finished chasing a dog,( ( A woman ) ( has ( finished ( chasing ( a dog ) ) ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ has) (VP (VBN finished) (S (VP (VBG chasing) (NP (DT a) (NN dog)))))))) +1524,['entailment'],3375014075.jpg#0,entailment,3375014075.jpg#0r4e,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A woman throws something for a dog.,( ( A woman ) ( ( throws ( something ( for ( a dog ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (NN dog))))) (. .))) +1525,['entailment'],3375014075.jpg#0,entailment,3375014075.jpg#0r1e,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A person throwing something for her dog.,( ( ( A person ) ( throwing ( something ( for ( her dog ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN person)) (VP (VBG throwing) (NP (NP (NN something)) (PP (IN for) (NP (PRP$ her) (NN dog))))) (. .))) +1526,['contradiction'],3375014075.jpg#0,contradiction,3375014075.jpg#0r4c,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A dog throws something for its woman.,( ( A dog ) ( ( throws ( something ( for ( its woman ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (PRP$ its) (NN woman))))) (. .))) +1527,['neutral'],3375014075.jpg#0,neutral,3375014075.jpg#0r1n,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A woman throwing a squeaky toy into the water for her dog to chase.,( ( ( A woman ) ( ( throwing ( a ( squeaky toy ) ) ) ( into ( ( the water ) ( for ( her ( dog ( to chase ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG throwing) (NP (DT a) (JJ squeaky) (NN toy)) (PP (IN into) (NP (NP (DT the) (NN water)) (PP (IN for) (NP (PRP$ her) (NN dog) (S (VP (TO to) (VP (VB chase))))))))) (. .))) +1528,['neutral'],3375014075.jpg#0,neutral,3375014075.jpg#0r2n,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A woman throws a ball for a german sheherd to chase,( ( A woman ) ( throws ( ( a ball ) ( for ( ( a german ) ( sheherd ( to chase ) ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ throws) (NP (NP (DT a) (NN ball)) (PP (IN for) (NP (NP (DT a) (NN german)) (VP (VBN sheherd) (S (VP (TO to) (VP (VB chase))))))))))) +1529,['neutral'],3375014075.jpg#0,neutral,3375014075.jpg#0r5n,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",a woman plays fetch with her boyfriends dog,( ( a woman ) ( plays ( fetch ( with ( her ( boyfriends dog ) ) ) ) ) ),(ROOT (S (NP (DT a) (NN woman)) (VP (VBZ plays) (VP (VB fetch) (PP (IN with) (NP (PRP$ her) (JJ boyfriends) (NN dog))))))) +1530,['contradiction'],3375014075.jpg#0,contradiction,3375014075.jpg#0r1c,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A woman climbing a tree.,( ( ( A woman ) ( climbing ( a tree ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG climbing) (NP (DT a) (NN tree))) (. .))) +1531,['entailment'],3375014075.jpg#0,entailment,3375014075.jpg#0r2e,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A person and their pet are outdoors,( ( ( ( A person ) and ) ( their pet ) ) ( are outdoors ) ),(ROOT (S (NP (NP (DT A) (NN person)) (CC and) (NP (PRP$ their) (NN pet))) (VP (VBP are) (ADVP (RB outdoors))))) +1532,['neutral'],3375014075.jpg#0,neutral,3375014075.jpg#0r3n,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A young lady is teaching her pet dog how to play fetch.,( ( A ( young lady ) ) ( ( is ( ( teaching ( her ( pet dog ) ) ) ( how ( to ( play fetch ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN lady)) (VP (VBZ is) (VP (VBG teaching) (NP (PRP$ her) (JJ pet) (NN dog)) (SBAR (WHADVP (WRB how)) (S (VP (TO to) (VP (VB play) (VP (VB fetch)))))))) (. .))) +1533,['contradiction'],3375014075.jpg#0,contradiction,3375014075.jpg#0r3c,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A man in a dog costume is staring creepily through a restaurant window.,( ( ( A man ) ( in ( a ( dog costume ) ) ) ) ( ( is ( ( staring creepily ) ( through ( a ( restaurant window ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (NN dog) (NN costume)))) (VP (VBZ is) (VP (VBG staring) (ADVP (RB creepily)) (PP (IN through) (NP (DT a) (NN restaurant) (NN window))))) (. .))) +1534,['entailment'],3375014075.jpg#0,entailment,3375014075.jpg#0r3e,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A woman and an animal are interacting outdoors.,( ( ( ( A woman ) and ) ( an animal ) ) ( ( are ( interacting outdoors ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (CC and) (NP (DT an) (NN animal))) (VP (VBP are) (VP (VBG interacting) (ADVP (RB outdoors)))) (. .))) +1535,['entailment'],3375014075.jpg#0,entailment,3375014075.jpg#0r5e,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",a woman and a german shepherd are pictured,( ( ( ( a woman ) and ) ( a ( german shepherd ) ) ) ( are pictured ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (CC and) (NP (DT a) (NN german) (NN shepherd))) (VP (VBP are) (VP (VBN pictured))))) +1536,['contradiction'],3375014075.jpg#0,contradiction,3375014075.jpg#0r5c,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",a woman sits in a movie theater,( ( a woman ) ( sits ( in ( a ( movie theater ) ) ) ) ),(ROOT (S (NP (DT a) (NN woman)) (VP (VBZ sits) (PP (IN in) (NP (DT a) (NN movie) (NN theater)))))) +1537,['neutral'],3375014075.jpg#0,neutral,3375014075.jpg#0r4n,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A woman throws something for her dog.,( ( A woman ) ( ( throws ( something ( for ( her dog ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (PRP$ her) (NN dog))))) (. .))) +1538,['contradiction'],3375014075.jpg#0,contradiction,3375014075.jpg#0r2c,"Outside by the trees, a woman wearing jeans and red jacket throws something for a German shepherd to chase.","( ( Outside ( by ( the trees ) ) ) ( , ( ( ( a woman ) ( wearing ( ( jeans and ) ( red jacket ) ) ) ) ( ( ( throws ( something ( for ( a ( German shepherd ) ) ) ) ) ( to chase ) ) . ) ) ) )","(ROOT (S (PP (IN Outside) (PP (IN by) (NP (DT the) (NNS trees)))) (, ,) (NP (NP (DT a) (NN woman)) (VP (VBG wearing) (NP (NP (NNS jeans)) (CC and) (NP (JJ red) (NN jacket))))) (VP (VBZ throws) (NP (NP (NN something)) (PP (IN for) (NP (DT a) (JJ German) (NN shepherd)))) (S (VP (TO to) (VP (VB chase))))) (. .)))",A woman plays with her cat in a grassy field,( ( A woman ) ( plays ( with ( ( her cat ) ( in ( a ( grassy field ) ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ plays) (PP (IN with) (NP (NP (PRP$ her) (NN cat)) (PP (IN in) (NP (DT a) (JJ grassy) (NN field)))))))) +1539,['entailment'],3375014075.jpg#3,entailment,3375014075.jpg#3r1e,A dog is preparing to run away from a person interacting with it.,( ( A dog ) ( ( is ( preparing ( to ( ( run away ) ( from ( ( a person ) ( interacting ( with it ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG preparing) (S (VP (TO to) (VP (VB run) (PRT (RP away)) (PP (IN from) (NP (NP (DT a) (NN person)) (VP (VBG interacting) (PP (IN with) (NP (PRP it))))))))))) (. .))),A dog is nearby a person,( ( A dog ) ( ( is nearby ) ( a person ) ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (ADVP (RB nearby)) (NP (DT a) (NN person))))) +1540,['contradiction'],3375014075.jpg#3,contradiction,3375014075.jpg#3r1c,A dog is preparing to run away from a person interacting with it.,( ( A dog ) ( ( is ( preparing ( to ( ( run away ) ( from ( ( a person ) ( interacting ( with it ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG preparing) (S (VP (TO to) (VP (VB run) (PRT (RP away)) (PP (IN from) (NP (NP (DT a) (NN person)) (VP (VBG interacting) (PP (IN with) (NP (PRP it))))))))))) (. .))),a cat is playing with some string,( ( a cat ) ( is ( playing ( with ( some string ) ) ) ) ),(ROOT (S (NP (DT a) (NN cat)) (VP (VBZ is) (VP (VBG playing) (PP (IN with) (NP (DT some) (NN string))))))) +1541,['neutral'],3375014075.jpg#3,neutral,3375014075.jpg#3r1n,A dog is preparing to run away from a person interacting with it.,( ( A dog ) ( ( is ( preparing ( to ( ( run away ) ( from ( ( a person ) ( interacting ( with it ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG preparing) (S (VP (TO to) (VP (VB run) (PRT (RP away)) (PP (IN from) (NP (NP (DT a) (NN person)) (VP (VBG interacting) (PP (IN with) (NP (PRP it))))))))))) (. .))),A dog cowers in the corner as the veterenarian approaches with a thermometer,( ( A dog ) ( ( cowers ( in ( the corner ) ) ) ( as ( ( the veterenarian ) ( approaches ( with ( a thermometer ) ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ cowers) (PP (IN in) (NP (DT the) (NN corner))) (SBAR (IN as) (S (NP (DT the) (NN veterenarian)) (VP (VBZ approaches) (PP (IN with) (NP (DT a) (NN thermometer))))))))) +1542,['neutral'],3375014075.jpg#2,neutral,3375014075.jpg#2r1n,A woman in a black and orange jacket throws a stick for a brown and black dog to fetch.,( ( ( A woman ) ( in ( a ( ( ( black and ) orange ) jacket ) ) ) ) ( ( ( throws ( ( a stick ) ( for ( a ( ( ( brown and ) black ) dog ) ) ) ) ) ( to fetch ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (ADJP (JJ black) (CC and) (JJ orange)) (NN jacket)))) (VP (VBZ throws) (NP (NP (DT a) (NN stick)) (PP (IN for) (NP (DT a) (ADJP (JJ brown) (CC and) (JJ black)) (NN dog)))) (S (VP (TO to) (VP (VB fetch))))) (. .))),A woman is training her dog in the park.,( ( A woman ) ( ( is ( ( training ( her dog ) ) ( in ( the park ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG training) (NP (PRP$ her) (NN dog)) (PP (IN in) (NP (DT the) (NN park))))) (. .))) +1543,['entailment'],3375014075.jpg#2,entailment,3375014075.jpg#2r1e,A woman in a black and orange jacket throws a stick for a brown and black dog to fetch.,( ( ( A woman ) ( in ( a ( ( ( black and ) orange ) jacket ) ) ) ) ( ( ( throws ( ( a stick ) ( for ( a ( ( ( brown and ) black ) dog ) ) ) ) ) ( to fetch ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (ADJP (JJ black) (CC and) (JJ orange)) (NN jacket)))) (VP (VBZ throws) (NP (NP (DT a) (NN stick)) (PP (IN for) (NP (DT a) (ADJP (JJ brown) (CC and) (JJ black)) (NN dog)))) (S (VP (TO to) (VP (VB fetch))))) (. .))),A woman is interacting with a dog.,( ( A woman ) ( ( is ( interacting ( with ( a dog ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG interacting) (PP (IN with) (NP (DT a) (NN dog))))) (. .))) +1544,['contradiction'],3375014075.jpg#2,contradiction,3375014075.jpg#2r1c,A woman in a black and orange jacket throws a stick for a brown and black dog to fetch.,( ( ( A woman ) ( in ( a ( ( ( black and ) orange ) jacket ) ) ) ) ( ( ( throws ( ( a stick ) ( for ( a ( ( ( brown and ) black ) dog ) ) ) ) ) ( to fetch ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (DT a) (ADJP (JJ black) (CC and) (JJ orange)) (NN jacket)))) (VP (VBZ throws) (NP (NP (DT a) (NN stick)) (PP (IN for) (NP (DT a) (ADJP (JJ brown) (CC and) (JJ black)) (NN dog)))) (S (VP (TO to) (VP (VB fetch))))) (. .))),A woman is brushing her dog.,( ( A woman ) ( ( is ( brushing ( her dog ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG brushing) (NP (PRP$ her) (NN dog)))) (. .))) +1545,['neutral'],156453471.jpg#2,neutral,156453471.jpg#2r1n,"Two men trying to build something together, while having fun.","( ( ( Two men ) ( trying ( to ( ( ( ( build something ) together ) , ) ( while ( having fun ) ) ) ) ) ) . )","(ROOT (NP (NP (CD Two) (NNS men)) (VP (VBG trying) (S (VP (TO to) (VP (VB build) (NP (NN something)) (ADVP (RB together)) (, ,) (SBAR (IN while) (S (VP (VBG having) (NP (NN fun))))))))) (. .)))",Two men are partying together.,( ( Two men ) ( ( are ( partying together ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG partying) (ADVP (RB together)))) (. .))) +1546,['entailment'],156453471.jpg#2,entailment,156453471.jpg#2r1e,"Two men trying to build something together, while having fun.","( ( ( Two men ) ( trying ( to ( ( ( ( build something ) together ) , ) ( while ( having fun ) ) ) ) ) ) . )","(ROOT (NP (NP (CD Two) (NNS men)) (VP (VBG trying) (S (VP (TO to) (VP (VB build) (NP (NN something)) (ADVP (RB together)) (, ,) (SBAR (IN while) (S (VP (VBG having) (NP (NN fun))))))))) (. .)))",Two men are laughing and enjoying themselves.,( ( Two men ) ( ( are ( ( ( laughing and ) enjoying ) themselves ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG laughing) (CC and) (VBG enjoying) (NP (PRP themselves)))) (. .))) +1547,['contradiction'],156453471.jpg#2,contradiction,156453471.jpg#2r1c,"Two men trying to build something together, while having fun.","( ( ( Two men ) ( trying ( to ( ( ( ( build something ) together ) , ) ( while ( having fun ) ) ) ) ) ) . )","(ROOT (NP (NP (CD Two) (NNS men)) (VP (VBG trying) (S (VP (TO to) (VP (VB build) (NP (NN something)) (ADVP (RB together)) (, ,) (SBAR (IN while) (S (VP (VBG having) (NP (NN fun))))))))) (. .)))",Two men are sleeping on the floor.,( ( Two men ) ( ( are ( sleeping ( on ( the floor ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG sleeping) (PP (IN on) (NP (DT the) (NN floor))))) (. .))) +1548,['contradiction'],4499295511.jpg#4,contradiction,4499295511.jpg#4r1c,Three people are sitting on a bench.,( ( Three people ) ( ( are ( sitting ( on ( a bench ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS people)) (VP (VBP are) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN bench))))) (. .))),A few people are laying down.,( ( A ( few people ) ) ( ( are ( laying down ) ) . ) ),(ROOT (S (NP (DT A) (JJ few) (NNS people)) (VP (VBP are) (VP (VBG laying) (PRT (RP down)))) (. .))) +1549,['neutral'],4499295511.jpg#4,neutral,4499295511.jpg#4r1n,Three people are sitting on a bench.,( ( Three people ) ( ( are ( sitting ( on ( a bench ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS people)) (VP (VBP are) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN bench))))) (. .))),Some people are chatting.,( ( Some people ) ( ( are chatting ) . ) ),(ROOT (S (NP (DT Some) (NNS people)) (VP (VBP are) (VP (VBG chatting))) (. .))) +1550,['entailment'],4499295511.jpg#4,entailment,4499295511.jpg#4r1e,Three people are sitting on a bench.,( ( Three people ) ( ( are ( sitting ( on ( a bench ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS people)) (VP (VBP are) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN bench))))) (. .))),There are people sitting down.,( There ( ( are ( people ( sitting down ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (VP (VBG sitting) (PRT (RP down))))) (. .))) +1551,['entailment'],4499295511.jpg#3,entailment,4499295511.jpg#3r1e,Two women and one man sit on a bench.,( ( ( ( Two women ) and ) ( one man ) ) ( ( sit ( on ( a bench ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS women)) (CC and) (NP (CD one) (NN man))) (VP (VBP sit) (PP (IN on) (NP (DT a) (NN bench)))) (. .))),The women and the man are on a bench.,( ( ( ( The women ) and ) ( the man ) ) ( ( are ( on ( a bench ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NNS women)) (CC and) (NP (DT the) (NN man))) (VP (VBP are) (PP (IN on) (NP (DT a) (NN bench)))) (. .))) +1552,['contradiction'],4499295511.jpg#3,contradiction,4499295511.jpg#3r1c,Two women and one man sit on a bench.,( ( ( ( Two women ) and ) ( one man ) ) ( ( sit ( on ( a bench ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS women)) (CC and) (NP (CD one) (NN man))) (VP (VBP sit) (PP (IN on) (NP (DT a) (NN bench)))) (. .))),The bench is not really there.,( ( The bench ) ( ( ( ( is not ) really ) there ) . ) ),(ROOT (S (NP (DT The) (NN bench)) (VP (VBZ is) (RB not) (ADVP (RB really)) (ADVP (RB there))) (. .))) +1553,['neutral'],4499295511.jpg#3,neutral,4499295511.jpg#3r1n,Two women and one man sit on a bench.,( ( ( ( Two women ) and ) ( one man ) ) ( ( sit ( on ( a bench ) ) ) . ) ),(ROOT (S (NP (NP (CD Two) (NNS women)) (CC and) (NP (CD one) (NN man))) (VP (VBP sit) (PP (IN on) (NP (DT a) (NN bench)))) (. .))),The friends are on the bench.,( ( The friends ) ( ( are ( on ( the bench ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS friends)) (VP (VBP are) (PP (IN on) (NP (DT the) (NN bench)))) (. .))) +1554,['entailment'],4499295511.jpg#2,entailment,4499295511.jpg#2r1e,A man and two women sitting on a bench.,( ( ( ( ( A man ) and ) ( two women ) ) ( sitting ( on ( a bench ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (CC and) (NP (CD two) (NNS women))) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN bench)))) (. .))),A few people share a bench.,( ( A ( few people ) ) ( ( share ( a bench ) ) . ) ),(ROOT (S (NP (DT A) (JJ few) (NNS people)) (VP (VBP share) (NP (DT a) (NN bench))) (. .))) +1555,['contradiction'],4499295511.jpg#2,contradiction,4499295511.jpg#2r1c,A man and two women sitting on a bench.,( ( ( ( ( A man ) and ) ( two women ) ) ( sitting ( on ( a bench ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (CC and) (NP (CD two) (NNS women))) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN bench)))) (. .))),Six women sit on a bench.,( ( Six women ) ( ( sit ( on ( a bench ) ) ) . ) ),(ROOT (S (NP (CD Six) (NNS women)) (VP (VBP sit) (PP (IN on) (NP (DT a) (NN bench)))) (. .))) +1556,['neutral'],4499295511.jpg#2,neutral,4499295511.jpg#2r1n,A man and two women sitting on a bench.,( ( ( ( ( A man ) and ) ( two women ) ) ( sitting ( on ( a bench ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN man)) (CC and) (NP (CD two) (NNS women))) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN bench)))) (. .))),A man and his two sisters sit together.,( ( ( ( A man ) and ) ( his ( two sisters ) ) ) ( ( sit together ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (PRP$ his) (CD two) (NNS sisters))) (VP (VBP sit) (ADVP (RB together))) (. .))) +1557,['entailment'],4499295511.jpg#1,entailment,4499295511.jpg#1r1e,A man and two women in black jackets holding umbrellas sit on a long wooden bench.,( ( ( ( A man ) and ) ( ( two women ) ( in ( ( black jackets ) ( holding umbrellas ) ) ) ) ) ( ( sit ( on ( a ( long ( wooden bench ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (NP (CD two) (NNS women)) (PP (IN in) (NP (NP (JJ black) (NNS jackets)) (VP (VBG holding) (NP (NNS umbrellas))))))) (VP (VBP sit) (PP (IN on) (NP (DT a) (JJ long) (JJ wooden) (NN bench)))) (. .))),People are on a bench,( People ( are ( on ( a bench ) ) ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (PP (IN on) (NP (DT a) (NN bench)))))) +1558,['neutral'],4499295511.jpg#1,neutral,4499295511.jpg#1r1n,A man and two women in black jackets holding umbrellas sit on a long wooden bench.,( ( ( ( A man ) and ) ( ( two women ) ( in ( ( black jackets ) ( holding umbrellas ) ) ) ) ) ( ( sit ( on ( a ( long ( wooden bench ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (NP (CD two) (NNS women)) (PP (IN in) (NP (NP (JJ black) (NNS jackets)) (VP (VBG holding) (NP (NNS umbrellas))))))) (VP (VBP sit) (PP (IN on) (NP (DT a) (JJ long) (JJ wooden) (NN bench)))) (. .))),A man is talking about a threesome with two women.,( ( A man ) ( ( is ( talking ( about ( ( a threesome ) ( with ( two women ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG talking) (PP (IN about) (NP (NP (DT a) (NN threesome)) (PP (IN with) (NP (CD two) (NNS women))))))) (. .))) +1559,['contradiction'],4499295511.jpg#1,contradiction,4499295511.jpg#1r1c,A man and two women in black jackets holding umbrellas sit on a long wooden bench.,( ( ( ( A man ) and ) ( ( two women ) ( in ( ( black jackets ) ( holding umbrellas ) ) ) ) ) ( ( sit ( on ( a ( long ( wooden bench ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (CC and) (NP (NP (CD two) (NNS women)) (PP (IN in) (NP (NP (JJ black) (NNS jackets)) (VP (VBG holding) (NP (NNS umbrellas))))))) (VP (VBP sit) (PP (IN on) (NP (DT a) (JJ long) (JJ wooden) (NN bench)))) (. .))),A man is sitting on a bench with 22 women.,( ( A man ) ( ( is ( sitting ( on ( ( a bench ) ( with ( 22 women ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN bench)) (PP (IN with) (NP (CD 22) (NNS women))))))) (. .))) +1560,['contradiction'],179172576.jpg#3,contradiction,179172576.jpg#3r1c,man in red canada shirt standing with three men in army uniform,( man ( in ( ( red ( canada shirt ) ) ( standing ( with ( ( three men ) ( in ( army uniform ) ) ) ) ) ) ) ),(ROOT (NP (NP (NN man)) (PP (IN in) (NP (NP (JJ red) (NN canada) (NN shirt)) (VP (VBG standing) (PP (IN with) (NP (NP (CD three) (NNS men)) (PP (IN in) (NP (NN army) (NN uniform)))))))))),Man eating pizza,( ( Man eating ) pizza ),(ROOT (INTJ (UH Man) (NN eating) (UH pizza))) +1561,['entailment'],179172576.jpg#3,entailment,179172576.jpg#3r1e,man in red canada shirt standing with three men in army uniform,( man ( in ( ( red ( canada shirt ) ) ( standing ( with ( ( three men ) ( in ( army uniform ) ) ) ) ) ) ) ),(ROOT (NP (NP (NN man)) (PP (IN in) (NP (NP (JJ red) (NN canada) (NN shirt)) (VP (VBG standing) (PP (IN with) (NP (NP (CD three) (NNS men)) (PP (IN in) (NP (NN army) (NN uniform)))))))))),Man standing with three men in army uniform,( ( Man standing ) ( with ( ( three men ) ( in ( army uniform ) ) ) ) ),(ROOT (NP (NP (NN Man) (NN standing)) (PP (IN with) (NP (NP (CD three) (NNS men)) (PP (IN in) (NP (NN army) (NN uniform))))))) +1562,"['neutral', 'contradiction', 'entailment', 'contradiction', 'neutral']",179172576.jpg#3,-,179172576.jpg#3r1n,man in red canada shirt standing with three men in army uniform,( man ( in ( ( red ( canada shirt ) ) ( standing ( with ( ( three men ) ( in ( army uniform ) ) ) ) ) ) ) ),(ROOT (NP (NP (NN man)) (PP (IN in) (NP (NP (JJ red) (NN canada) (NN shirt)) (VP (VBG standing) (PP (IN with) (NP (NP (CD three) (NNS men)) (PP (IN in) (NP (NN army) (NN uniform)))))))))),Man standing with three men in army uniform near School,( ( Man standing ) ( with ( ( three men ) ( in ( ( army uniform ) ( near School ) ) ) ) ) ),(ROOT (NP (NP (NN Man) (NN standing)) (PP (IN with) (NP (NP (CD three) (NNS men)) (PP (IN in) (NP (NP (NN army) (NN uniform)) (PP (IN near) (NP (NNP School))))))))) +1563,['neutral'],2792195540.jpg#3,neutral,2792195540.jpg#3r1n,Skydivers in formation.,( ( Skydivers ( in formation ) ) . ),(ROOT (NP (NP (NNS Skydivers)) (PP (IN in) (NP (NN formation))) (. .))),They are all friends.,( They ( ( are ( all friends ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (NP (DT all) (NNS friends))) (. .))) +1564,['contradiction'],2792195540.jpg#3,contradiction,2792195540.jpg#3r1c,Skydivers in formation.,( ( Skydivers ( in formation ) ) . ),(ROOT (NP (NP (NNS Skydivers)) (PP (IN in) (NP (NN formation))) (. .))),They are on the ground,( They ( are ( on ( the ground ) ) ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (PP (IN on) (NP (DT the) (NN ground)))))) +1565,['entailment'],2792195540.jpg#3,entailment,2792195540.jpg#3r1e,Skydivers in formation.,( ( Skydivers ( in formation ) ) . ),(ROOT (NP (NP (NNS Skydivers)) (PP (IN in) (NP (NN formation))) (. .))),People are skydiving.,( People ( ( are skydiving ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG skydiving))) (. .))) +1566,['contradiction'],3975954369.jpg#0,contradiction,3975954369.jpg#0r1c,A woman checks her purse while at a outside cafe.,( ( A woman ) ( ( ( checks ( her ( purse while ) ) ) ( at ( a ( outside cafe ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ checks) (NP (PRP$ her) (NN purse) (NN while)) (PP (IN at) (NP (DT a) (JJ outside) (NN cafe)))) (. .))),A man checks his back pocket for his wallet,( ( A ( man checks ) ) ( ( his ( back pocket ) ) ( for ( his wallet ) ) ) ),(ROOT (NP (NP (DT A) (NN man) (NNS checks)) (NP (NP (PRP$ his) (JJ back) (NN pocket)) (PP (IN for) (NP (PRP$ his) (NN wallet)))))) +1567,['neutral'],3975954369.jpg#0,neutral,3975954369.jpg#0r1n,A woman checks her purse while at a outside cafe.,( ( A woman ) ( ( ( checks ( her ( purse while ) ) ) ( at ( a ( outside cafe ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ checks) (NP (PRP$ her) (NN purse) (NN while)) (PP (IN at) (NP (DT a) (JJ outside) (NN cafe)))) (. .))),A woman looks for her money to tip the waiter.,( ( A woman ) ( ( looks ( for ( her ( money ( to ( tip ( the waiter ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ looks) (PP (IN for) (NP (PRP$ her) (NN money) (S (VP (TO to) (VP (VB tip) (NP (DT the) (NN waiter)))))))) (. .))) +1568,['entailment'],3975954369.jpg#0,entailment,3975954369.jpg#0r1e,A woman checks her purse while at a outside cafe.,( ( A woman ) ( ( ( checks ( her ( purse while ) ) ) ( at ( a ( outside cafe ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ checks) (NP (PRP$ her) (NN purse) (NN while)) (PP (IN at) (NP (DT a) (JJ outside) (NN cafe)))) (. .))),A person looks in her purse at a restaurant.,( ( A person ) ( ( ( looks ( in ( her purse ) ) ) ( at ( a restaurant ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ looks) (PP (IN in) (NP (PRP$ her) (NN purse))) (PP (IN at) (NP (DT a) (NN restaurant)))) (. .))) +1569,['contradiction'],213836461.jpg#4,contradiction,213836461.jpg#4r1c,The cowboy waves to the rodeo crowd.,( ( ( The ( cowboy waves ) ) ( to ( the rodeo ) ) ) ( crowd . ) ),(ROOT (S (NP (NP (DT The) (NN cowboy) (NNS waves)) (PP (TO to) (NP (DT the) (NN rodeo)))) (VP (VBP crowd)) (. .))),The clown was waving to the crowd.,( ( The clown ) ( ( was ( waving ( to ( the crowd ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN clown)) (VP (VBD was) (VP (VBG waving) (PP (TO to) (NP (DT the) (NN crowd))))) (. .))) +1570,['neutral'],213836461.jpg#4,neutral,213836461.jpg#4r1n,The cowboy waves to the rodeo crowd.,( ( ( The ( cowboy waves ) ) ( to ( the rodeo ) ) ) ( crowd . ) ),(ROOT (S (NP (NP (DT The) (NN cowboy) (NNS waves)) (PP (TO to) (NP (DT the) (NN rodeo)))) (VP (VBP crowd)) (. .))),The cowboy waved to the crowd while he was riding the horse.,( ( The cowboy ) ( ( ( waved ( to ( the crowd ) ) ) ( while ( he ( was ( riding ( the horse ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN cowboy)) (VP (VBD waved) (PP (TO to) (NP (DT the) (NN crowd))) (SBAR (IN while) (S (NP (PRP he)) (VP (VBD was) (VP (VBG riding) (NP (DT the) (NN horse))))))) (. .))) +1571,['entailment'],213836461.jpg#4,entailment,213836461.jpg#4r1e,The cowboy waves to the rodeo crowd.,( ( ( The ( cowboy waves ) ) ( to ( the rodeo ) ) ) ( crowd . ) ),(ROOT (S (NP (NP (DT The) (NN cowboy) (NNS waves)) (PP (TO to) (NP (DT the) (NN rodeo)))) (VP (VBP crowd)) (. .))),The cowboy waved to the crowd.,( ( The cowboy ) ( ( waved ( to ( the crowd ) ) ) . ) ),(ROOT (S (NP (DT The) (NN cowboy)) (VP (VBD waved) (PP (TO to) (NP (DT the) (NN crowd)))) (. .))) +1572,['contradiction'],3975954369.jpg#2,contradiction,3975954369.jpg#2r1c,A woman is sitting at an outdoor dining table.,( ( A woman ) ( ( is ( sitting ( at ( an ( outdoor ( dining table ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG sitting) (PP (IN at) (NP (DT an) (JJ outdoor) (NN dining) (NN table))))) (. .))),A person is indoors.,( ( A person ) ( ( is indoors ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (ADVP (RB indoors))) (. .))) +1573,['entailment'],3975954369.jpg#2,entailment,3975954369.jpg#2r1e,A woman is sitting at an outdoor dining table.,( ( A woman ) ( ( is ( sitting ( at ( an ( outdoor ( dining table ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG sitting) (PP (IN at) (NP (DT an) (JJ outdoor) (NN dining) (NN table))))) (. .))),A person is sitting down.,( ( A person ) ( ( is ( sitting down ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG sitting) (PRT (RP down)))) (. .))) +1574,['neutral'],3975954369.jpg#2,neutral,3975954369.jpg#2r1n,A woman is sitting at an outdoor dining table.,( ( A woman ) ( ( is ( sitting ( at ( an ( outdoor ( dining table ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG sitting) (PP (IN at) (NP (DT an) (JJ outdoor) (NN dining) (NN table))))) (. .))),A person is at an outdoor restaurant waiting for their food.,( ( A person ) ( ( is ( at ( ( an ( outdoor restaurant ) ) ( waiting ( for ( their food ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (PP (IN at) (NP (NP (DT an) (JJ outdoor) (NN restaurant)) (VP (VBG waiting) (PP (IN for) (NP (PRP$ their) (NN food))))))) (. .))) +1575,['contradiction'],3975954369.jpg#3,contradiction,3975954369.jpg#3r1c,Lady wearing a yellow top is sitting on a chair,( ( Lady ( wearing ( a ( yellow top ) ) ) ) ( is ( sitting ( on ( a chair ) ) ) ) ),(ROOT (S (NP (NP (NNP Lady)) (VP (VBG wearing) (NP (DT a) (JJ yellow) (NN top)))) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN chair))))))),A lady wearing a yellow top is standing on the kitchen table.,( ( ( A lady ) ( wearing ( a ( yellow top ) ) ) ) ( ( is ( standing ( on ( the ( kitchen table ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN lady)) (VP (VBG wearing) (NP (DT a) (JJ yellow) (NN top)))) (VP (VBZ is) (VP (VBG standing) (PP (IN on) (NP (DT the) (NN kitchen) (NN table))))) (. .))) +1576,['entailment'],3975954369.jpg#3,entailment,3975954369.jpg#3r1e,Lady wearing a yellow top is sitting on a chair,( ( Lady ( wearing ( a ( yellow top ) ) ) ) ( is ( sitting ( on ( a chair ) ) ) ) ),(ROOT (S (NP (NP (NNP Lady)) (VP (VBG wearing) (NP (DT a) (JJ yellow) (NN top)))) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN chair))))))),A woman with a yellow to sits.,( ( ( A woman ) ( with ( a ( yellow to ) ) ) ) ( sits . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN with) (NP (DT a) (ADJP (JJ yellow) (PP (TO to)))))) (VP (VBZ sits)) (. .))) +1577,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",3975954369.jpg#3,neutral,3975954369.jpg#3r1n,Lady wearing a yellow top is sitting on a chair,( ( Lady ( wearing ( a ( yellow top ) ) ) ) ( is ( sitting ( on ( a chair ) ) ) ) ),(ROOT (S (NP (NP (NNP Lady)) (VP (VBG wearing) (NP (DT a) (JJ yellow) (NN top)))) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN chair))))))),A lady wearing a yellow top is sitting on a chair and shaving her legs.,( ( ( A lady ) ( wearing ( a ( yellow top ) ) ) ) ( ( is ( ( ( sitting ( on ( a chair ) ) ) and ) ( shaving ( her legs ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN lady)) (VP (VBG wearing) (NP (DT a) (JJ yellow) (NN top)))) (VP (VBZ is) (VP (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN chair)))) (CC and) (VP (VBG shaving) (NP (PRP$ her) (NNS legs))))) (. .))) +1578,['neutral'],2876232980.jpg#1,neutral,2876232980.jpg#1r1n,a child is pushing another kid in a wheeler dressed in a red top and wearing a cap.,( ( a child ) ( ( is ( ( ( ( pushing ( another kid ) ) ( in ( ( a wheeler ) ( dressed ( in ( a ( red top ) ) ) ) ) ) ) and ) ( wearing ( a cap ) ) ) ) . ) ),(ROOT (S (NP (DT a) (NN child)) (VP (VBZ is) (VP (VP (VBG pushing) (NP (DT another) (NN kid)) (PP (IN in) (NP (NP (DT a) (NN wheeler)) (VP (VBN dressed) (PP (IN in) (NP (DT a) (JJ red) (NN top))))))) (CC and) (VP (VBG wearing) (NP (DT a) (NN cap))))) (. .))),The kids are pretending they are in a race.,( ( The kids ) ( ( are ( pretending ( they ( are ( in ( a race ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS kids)) (VP (VBP are) (VP (VBG pretending) (SBAR (S (NP (PRP they)) (VP (VBP are) (PP (IN in) (NP (DT a) (NN race)))))))) (. .))) +1579,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",2876232980.jpg#1,contradiction,2876232980.jpg#1r1c,a child is pushing another kid in a wheeler dressed in a red top and wearing a cap.,( ( a child ) ( ( is ( ( ( ( pushing ( another kid ) ) ( in ( ( a wheeler ) ( dressed ( in ( a ( red top ) ) ) ) ) ) ) and ) ( wearing ( a cap ) ) ) ) . ) ),(ROOT (S (NP (DT a) (NN child)) (VP (VBZ is) (VP (VP (VBG pushing) (NP (DT another) (NN kid)) (PP (IN in) (NP (NP (DT a) (NN wheeler)) (VP (VBN dressed) (PP (IN in) (NP (DT a) (JJ red) (NN top))))))) (CC and) (VP (VBG wearing) (NP (DT a) (NN cap))))) (. .))),The children a eating lunch.,( ( ( The children ) ( a ( eating lunch ) ) ) . ),(ROOT (NP (NP (DT The) (NNS children)) (NP (DT a) (JJ eating) (NN lunch)) (. .))) +1580,['entailment'],2876232980.jpg#1,entailment,2876232980.jpg#1r1e,a child is pushing another kid in a wheeler dressed in a red top and wearing a cap.,( ( a child ) ( ( is ( ( ( ( pushing ( another kid ) ) ( in ( ( a wheeler ) ( dressed ( in ( a ( red top ) ) ) ) ) ) ) and ) ( wearing ( a cap ) ) ) ) . ) ),(ROOT (S (NP (DT a) (NN child)) (VP (VBZ is) (VP (VP (VBG pushing) (NP (DT another) (NN kid)) (PP (IN in) (NP (NP (DT a) (NN wheeler)) (VP (VBN dressed) (PP (IN in) (NP (DT a) (JJ red) (NN top))))))) (CC and) (VP (VBG wearing) (NP (DT a) (NN cap))))) (. .))),Children enjoy playing together.,( Children ( ( enjoy ( playing together ) ) . ) ),(ROOT (S (NP (NNP Children)) (VP (VBP enjoy) (S (VP (VBG playing) (ADVP (RB together))))) (. .))) +1581,"['contradiction', 'contradiction', 'neutral', 'contradiction', 'contradiction']",213836461.jpg#3,contradiction,213836461.jpg#3r1c,A cowboy is riding a bucking bull in a rodeo arena.,( ( A cowboy ) ( ( is ( riding ( ( a ( bucking bull ) ) ( in ( a ( rodeo arena ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN cowboy)) (VP (VBZ is) (VP (VBG riding) (NP (NP (DT a) (JJ bucking) (NN bull)) (PP (IN in) (NP (DT a) (NN rodeo) (NN arena)))))) (. .))),A man rides a horse on a trail.,( ( A man ) ( ( ( rides ( a horse ) ) ( on ( a trail ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBD rides) (NP (DT a) (NN horse)) (PP (IN on) (NP (DT a) (NN trail)))) (. .))) +1582,['entailment'],213836461.jpg#3,entailment,213836461.jpg#3r1e,A cowboy is riding a bucking bull in a rodeo arena.,( ( A cowboy ) ( ( is ( riding ( ( a ( bucking bull ) ) ( in ( a ( rodeo arena ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN cowboy)) (VP (VBZ is) (VP (VBG riding) (NP (NP (DT a) (JJ bucking) (NN bull)) (PP (IN in) (NP (DT a) (NN rodeo) (NN arena)))))) (. .))),A cowboy rides a bull at a rodeo.,( ( A cowboy ) ( ( ( rides ( a bull ) ) ( at ( a rodeo ) ) ) . ) ),(ROOT (S (NP (DT A) (NN cowboy)) (VP (VBD rides) (NP (DT a) (NN bull)) (PP (IN at) (NP (DT a) (NN rodeo)))) (. .))) +1583,['neutral'],213836461.jpg#3,neutral,213836461.jpg#3r1n,A cowboy is riding a bucking bull in a rodeo arena.,( ( A cowboy ) ( ( is ( riding ( ( a ( bucking bull ) ) ( in ( a ( rodeo arena ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN cowboy)) (VP (VBZ is) (VP (VBG riding) (NP (NP (DT a) (JJ bucking) (NN bull)) (PP (IN in) (NP (DT a) (NN rodeo) (NN arena)))))) (. .))),A professional bull rider rides a large black bull.,( ( A ( professional ( bull rider ) ) ) ( ( rides ( a ( large ( black bull ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ professional) (NN bull) (NN rider)) (VP (VBD rides) (NP (DT a) (JJ large) (JJ black) (NN bull))) (. .))) +1584,['entailment'],2876232980.jpg#2,entailment,2876232980.jpg#2r1e,A blond child is pulling a wagon with a little blond boy in it.,( ( A ( blond child ) ) ( ( is ( ( pulling ( a wagon ) ) ( with ( ( a ( little ( blond boy ) ) ) ( in it ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ blond) (NN child)) (VP (VBZ is) (VP (VBG pulling) (NP (DT a) (NN wagon)) (PP (IN with) (NP (NP (DT a) (JJ little) (JJ blond) (NN boy)) (PP (IN in) (NP (PRP it))))))) (. .))),A child is pulling a toy wagon.,( ( A child ) ( ( is ( pulling ( a ( toy wagon ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ is) (VP (VBG pulling) (NP (DT a) (NN toy) (NN wagon)))) (. .))) +1585,['neutral'],2876232980.jpg#2,neutral,2876232980.jpg#2r1n,A blond child is pulling a wagon with a little blond boy in it.,( ( A ( blond child ) ) ( ( is ( ( pulling ( a wagon ) ) ( with ( ( a ( little ( blond boy ) ) ) ( in it ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ blond) (NN child)) (VP (VBZ is) (VP (VBG pulling) (NP (DT a) (NN wagon)) (PP (IN with) (NP (NP (DT a) (JJ little) (JJ blond) (NN boy)) (PP (IN in) (NP (PRP it))))))) (. .))),A child is pulling a toy wagon filled with toys.,( ( A child ) ( ( is ( pulling ( ( a ( toy wagon ) ) ( filled ( with toys ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ is) (VP (VBG pulling) (NP (NP (DT a) (NN toy) (NN wagon)) (VP (VBN filled) (PP (IN with) (NP (NNS toys))))))) (. .))) +1586,['contradiction'],2876232980.jpg#2,contradiction,2876232980.jpg#2r1c,A blond child is pulling a wagon with a little blond boy in it.,( ( A ( blond child ) ) ( ( is ( ( pulling ( a wagon ) ) ( with ( ( a ( little ( blond boy ) ) ) ( in it ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ blond) (NN child)) (VP (VBZ is) (VP (VBG pulling) (NP (DT a) (NN wagon)) (PP (IN with) (NP (NP (DT a) (JJ little) (JJ blond) (NN boy)) (PP (IN in) (NP (PRP it))))))) (. .))),A child is swimming.,( ( A child ) ( ( is swimming ) . ) ),(ROOT (S (NP (DT A) (NN child)) (VP (VBZ is) (VP (VBG swimming))) (. .))) +1587,['entailment'],3441511444.jpg#0,entailment,3441511444.jpg#0r1e,A man wearing a tan coat signs papers for another man wearing a blue coat.,( ( ( A man ) ( wearing ( a ( tan coat ) ) ) ) ( ( signs ( papers ( for ( ( another man ) ( wearing ( a ( blue coat ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ tan) (NN coat)))) (VP (VBZ signs) (NP (NP (NNS papers)) (PP (IN for) (NP (NP (DT another) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN coat))))))) (. .))),"One man writes on papers, while another man stands by.","( ( One man ) ( ( ( ( writes ( on papers ) ) , ) ( while ( ( another man ) ( stands by ) ) ) ) . ) )","(ROOT (S (NP (CD One) (NN man)) (VP (VBZ writes) (PP (IN on) (NP (NNS papers))) (, ,) (SBAR (IN while) (S (NP (DT another) (NN man)) (VP (VBZ stands) (PP (IN by)))))) (. .)))" +1588,['neutral'],3441511444.jpg#0,neutral,3441511444.jpg#0r1n,A man wearing a tan coat signs papers for another man wearing a blue coat.,( ( ( A man ) ( wearing ( a ( tan coat ) ) ) ) ( ( signs ( papers ( for ( ( another man ) ( wearing ( a ( blue coat ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ tan) (NN coat)))) (VP (VBZ signs) (NP (NP (NNS papers)) (PP (IN for) (NP (NP (DT another) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN coat))))))) (. .))),"A guy signs away his rights to his gold mine, while his lawyer waits by.","( ( A guy ) ( ( ( ( signs away ) ( his rights ) ) ( to ( ( ( his ( gold mine ) ) , ) ( while ( ( his lawyer ) ( waits by ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN guy)) (VP (VBZ signs) (PRT (RP away)) (NP (PRP$ his) (NNS rights)) (PP (TO to) (NP (NP (PRP$ his) (JJ gold) (NN mine)) (, ,) (SBAR (IN while) (S (NP (PRP$ his) (NN lawyer)) (VP (VBZ waits) (PP (IN by)))))))) (. .)))" +1589,['contradiction'],3441511444.jpg#0,contradiction,3441511444.jpg#0r1c,A man wearing a tan coat signs papers for another man wearing a blue coat.,( ( ( A man ) ( wearing ( a ( tan coat ) ) ) ) ( ( signs ( papers ( for ( ( another man ) ( wearing ( a ( blue coat ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ tan) (NN coat)))) (VP (VBZ signs) (NP (NP (NNS papers)) (PP (IN for) (NP (NP (DT another) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN coat))))))) (. .))),A male lifeguard busily saves someone's life while his companion simply scratches his head.,( ( A ( male lifeguard ) ) ( busily ( ( ( saves ( ( someone 's ) life ) ) ( while ( ( his companion ) ( simply ( scratches ( his head ) ) ) ) ) ) . ) ) ),(ROOT (S (NP (DT A) (JJ male) (NN lifeguard)) (ADVP (RB busily)) (VP (VBZ saves) (NP (NP (NN someone) (POS 's)) (NN life)) (SBAR (IN while) (S (NP (PRP$ his) (NN companion)) (ADVP (RB simply)) (VP (VBZ scratches) (NP (PRP$ his) (NN head)))))) (. .))) +1590,['neutral'],2610183392.jpg#0,neutral,2610183392.jpg#0r1n,A groom and a bride are standing on the grass with his hand on her waist.,( ( ( ( A groom ) and ) ( a bride ) ) ( ( are ( ( standing ( on ( ( the grass ) ( with ( his hand ) ) ) ) ) ( on ( her waist ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN groom)) (CC and) (NP (DT a) (NN bride))) (VP (VBP are) (VP (VBG standing) (PP (IN on) (NP (NP (DT the) (NN grass)) (PP (IN with) (NP (PRP$ his) (NN hand))))) (PP (IN on) (NP (PRP$ her) (NN waist))))) (. .))),They are about to have their first kiss as man and wife.,( They ( ( are ( about ( to ( ( have ( their ( first kiss ) ) ) ( as ( ( man and ) wife ) ) ) ) ) ) . ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (VP (IN about) (S (VP (TO to) (VP (VB have) (NP (PRP$ their) (JJ first) (NN kiss)) (PP (IN as) (NP (NN man) (CC and) (NN wife)))))))) (. .))) +1591,['contradiction'],2610183392.jpg#0,contradiction,2610183392.jpg#0r1c,A groom and a bride are standing on the grass with his hand on her waist.,( ( ( ( A groom ) and ) ( a bride ) ) ( ( are ( ( standing ( on ( ( the grass ) ( with ( his hand ) ) ) ) ) ( on ( her waist ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN groom)) (CC and) (NP (DT a) (NN bride))) (VP (VBP are) (VP (VBG standing) (PP (IN on) (NP (NP (DT the) (NN grass)) (PP (IN with) (NP (PRP$ his) (NN hand))))) (PP (IN on) (NP (PRP$ her) (NN waist))))) (. .))),The groom and bride are sitting at the table.,( ( The ( ( groom and ) bride ) ) ( ( are ( sitting ( at ( the table ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN groom) (CC and) (NN bride)) (VP (VBP are) (VP (VBG sitting) (PP (IN at) (NP (DT the) (NN table))))) (. .))) +1592,['entailment'],2610183392.jpg#0,entailment,2610183392.jpg#0r1e,A groom and a bride are standing on the grass with his hand on her waist.,( ( ( ( A groom ) and ) ( a bride ) ) ( ( are ( ( standing ( on ( ( the grass ) ( with ( his hand ) ) ) ) ) ( on ( her waist ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN groom)) (CC and) (NP (DT a) (NN bride))) (VP (VBP are) (VP (VBG standing) (PP (IN on) (NP (NP (DT the) (NN grass)) (PP (IN with) (NP (PRP$ his) (NN hand))))) (PP (IN on) (NP (PRP$ her) (NN waist))))) (. .))),A groom and bride are standing outside.,( ( A ( ( groom and ) bride ) ) ( ( are ( standing outside ) ) . ) ),(ROOT (S (NP (DT A) (NN groom) (CC and) (NN bride)) (VP (VBP are) (VP (VBG standing) (ADVP (RB outside)))) (. .))) +1593,['contradiction'],4655362399.jpg#4,contradiction,4655362399.jpg#4r7c,A man is singing into a microphone.,( ( A man ) ( ( is ( singing ( into ( a microphone ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG singing) (PP (IN into) (NP (DT a) (NN microphone))))) (. .))),A man is reciting poetry.,( ( A man ) ( ( is ( reciting poetry ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG reciting) (NP (NN poetry)))) (. .))) +1594,['entailment'],4655362399.jpg#4,entailment,4655362399.jpg#4r7e,A man is singing into a microphone.,( ( A man ) ( ( is ( singing ( into ( a microphone ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG singing) (PP (IN into) (NP (DT a) (NN microphone))))) (. .))),Someone is making music.,( Someone ( ( is ( making music ) ) . ) ),(ROOT (S (NP (NN Someone)) (VP (VBZ is) (VP (VBG making) (NP (NN music)))) (. .))) +1595,['neutral'],4655362399.jpg#4,neutral,4655362399.jpg#4r7n,A man is singing into a microphone.,( ( A man ) ( ( is ( singing ( into ( a microphone ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG singing) (PP (IN into) (NP (DT a) (NN microphone))))) (. .))),A man is performing on stage.,( ( A man ) ( ( is ( performing ( on stage ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG performing) (PP (IN on) (NP (NN stage))))) (. .))) +1596,"['contradiction', 'contradiction', 'contradiction', 'contradiction']",3737711435.jpg#0,contradiction,3737711435.jpg#0r1c,a girl wearing a blue and pink swimsuit is throwing stones into a lake.,( ( ( a girl ) ( wearing ( a ( ( ( blue and ) pink ) swimsuit ) ) ) ) ( ( is ( ( throwing stones ) ( into ( a lake ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN girl)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ blue) (CC and) (JJ pink)) (NN swimsuit)))) (VP (VBZ is) (VP (VBG throwing) (NP (NNS stones)) (PP (IN into) (NP (DT a) (NN lake))))) (. .))),one boy drinks coke zero,( ( ( one ( boy drinks ) ) coke ) zero ),(ROOT (NP (NP (CD one) (NN boy) (NNS drinks)) (NP (NN coke)) (NP (CD zero)))) +1597,['neutral'],3737711435.jpg#0,neutral,3737711435.jpg#0r1n,a girl wearing a blue and pink swimsuit is throwing stones into a lake.,( ( ( a girl ) ( wearing ( a ( ( ( blue and ) pink ) swimsuit ) ) ) ) ( ( is ( ( throwing stones ) ( into ( a lake ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN girl)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ blue) (CC and) (JJ pink)) (NN swimsuit)))) (VP (VBZ is) (VP (VBG throwing) (NP (NNS stones)) (PP (IN into) (NP (DT a) (NN lake))))) (. .))),girl trying to skip rocks,( girl ( trying ( to ( skip rocks ) ) ) ),(ROOT (S (NP (NP (NN girl)) (VP (VBG trying) (S (VP (TO to) (VP (VB skip) (NP (NNS rocks))))))))) +1598,['entailment'],3737711435.jpg#0,entailment,3737711435.jpg#0r1e,a girl wearing a blue and pink swimsuit is throwing stones into a lake.,( ( ( a girl ) ( wearing ( a ( ( ( blue and ) pink ) swimsuit ) ) ) ) ( ( is ( ( throwing stones ) ( into ( a lake ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN girl)) (VP (VBG wearing) (NP (DT a) (ADJP (JJ blue) (CC and) (JJ pink)) (NN swimsuit)))) (VP (VBZ is) (VP (VBG throwing) (NP (NNS stones)) (PP (IN into) (NP (DT a) (NN lake))))) (. .))),girl throws stones,( girl ( throws stones ) ),(ROOT (S (NP (NN girl)) (VP (VBZ throws) (NP (NNS stones))))) +1599,['contradiction'],4872391001.jpg#2,contradiction,4872391001.jpg#2r1c,"A man and a woman being intimate, with their legs in the water.","( ( ( ( ( A man ) and ) ( a woman ) ) ( being ( ( ( intimate , ) ( with ( their legs ) ) ) ( in ( the water ) ) ) ) ) . )","(ROOT (NP (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBG being) (ADJP (ADJP (JJ intimate) (, ,) (PP (IN with) (NP (PRP$ their) (NNS legs)))) (PP (IN in) (NP (DT the) (NN water))))) (. .)))",two dudes are in the pool,( ( two dudes ) ( are ( in ( the pool ) ) ) ),(ROOT (S (NP (CD two) (NNS dudes)) (VP (VBP are) (PP (IN in) (NP (DT the) (NN pool)))))) +1600,['entailment'],4872391001.jpg#2,entailment,4872391001.jpg#2r1e,"A man and a woman being intimate, with their legs in the water.","( ( ( ( ( A man ) and ) ( a woman ) ) ( being ( ( ( intimate , ) ( with ( their legs ) ) ) ( in ( the water ) ) ) ) ) . )","(ROOT (NP (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBG being) (ADJP (ADJP (JJ intimate) (, ,) (PP (IN with) (NP (PRP$ their) (NNS legs)))) (PP (IN in) (NP (DT the) (NN water))))) (. .)))",a man and woman are getting intimate,( ( a ( ( man and ) woman ) ) ( are ( getting intimate ) ) ),(ROOT (S (NP (DT a) (NN man) (CC and) (NN woman)) (VP (VBP are) (VP (VBG getting) (ADJP (JJ intimate)))))) +1601,['neutral'],4872391001.jpg#2,neutral,4872391001.jpg#2r1n,"A man and a woman being intimate, with their legs in the water.","( ( ( ( ( A man ) and ) ( a woman ) ) ( being ( ( ( intimate , ) ( with ( their legs ) ) ) ( in ( the water ) ) ) ) ) . )","(ROOT (NP (NP (NP (DT A) (NN man)) (CC and) (NP (DT a) (NN woman))) (VP (VBG being) (ADJP (ADJP (JJ intimate) (, ,) (PP (IN with) (NP (PRP$ their) (NNS legs)))) (PP (IN in) (NP (DT the) (NN water))))) (. .)))",a husband and wife are playing footsies in the tub,( ( a ( ( husband and ) wife ) ) ( are ( playing ( footsies ( in ( the tub ) ) ) ) ) ),(ROOT (S (NP (DT a) (NN husband) (CC and) (NN wife)) (VP (VBP are) (VP (VBG playing) (NP (NP (NNS footsies)) (PP (IN in) (NP (DT the) (NN tub)))))))) +1602,['entailment'],485909472.jpg#4,entailment,485909472.jpg#4r1e,A group of people stand on a grassy field.,( ( ( A group ) ( of people ) ) ( ( stand ( on ( a ( grassy field ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP stand) (PP (IN on) (NP (DT a) (JJ grassy) (NN field)))) (. .))),People are standing on a grassy field,( People ( are ( standing ( on ( a ( grassy field ) ) ) ) ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG standing) (PP (IN on) (NP (DT a) (JJ grassy) (NN field))))))) +1603,['contradiction'],485909472.jpg#4,contradiction,485909472.jpg#4r1c,A group of people stand on a grassy field.,( ( ( A group ) ( of people ) ) ( ( stand ( on ( a ( grassy field ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP stand) (PP (IN on) (NP (DT a) (JJ grassy) (NN field)))) (. .))),A group of people are sitting in the bleachers,( ( ( A group ) ( of people ) ) ( are ( sitting ( in ( the bleachers ) ) ) ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG sitting) (PP (IN in) (NP (DT the) (NNS bleachers))))))) +1604,['neutral'],485909472.jpg#4,neutral,485909472.jpg#4r1n,A group of people stand on a grassy field.,( ( ( A group ) ( of people ) ) ( ( stand ( on ( a ( grassy field ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP stand) (PP (IN on) (NP (DT a) (JJ grassy) (NN field)))) (. .))),People are enjoying the outdoor weather,( People ( are ( enjoying ( the ( outdoor weather ) ) ) ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG enjoying) (NP (DT the) (JJ outdoor) (NN weather)))))) +1605,['entailment'],2941668295.jpg#4,entailment,2941668295.jpg#4r1e,Men in uniform work together.,( ( Men ( in uniform ) ) ( ( work together ) . ) ),(ROOT (S (NP (NP (NNS Men)) (PP (IN in) (NP (NN uniform)))) (VP (VBP work) (ADVP (RB together))) (. .))),Uniformed men work.,( ( Uniformed men ) ( work . ) ),(ROOT (S (NP (JJ Uniformed) (NNS men)) (VP (VBP work)) (. .))) +1606,['contradiction'],2941668295.jpg#4,contradiction,2941668295.jpg#4r1c,Men in uniform work together.,( ( Men ( in uniform ) ) ( ( work together ) . ) ),(ROOT (S (NP (NP (NNS Men)) (PP (IN in) (NP (NN uniform)))) (VP (VBP work) (ADVP (RB together))) (. .))),Men in beach clothes work by themselves at the park.,( ( Men ( in ( beach clothes ) ) ) ( ( ( work ( by themselves ) ) ( at ( the park ) ) ) . ) ),(ROOT (S (NP (NP (NNS Men)) (PP (IN in) (NP (NN beach) (NNS clothes)))) (VP (VBP work) (PP (IN by) (NP (PRP themselves))) (PP (IN at) (NP (DT the) (NN park)))) (. .))) +1607,['neutral'],2941668295.jpg#4,neutral,2941668295.jpg#4r1n,Men in uniform work together.,( ( Men ( in uniform ) ) ( ( work together ) . ) ),(ROOT (S (NP (NP (NNS Men)) (PP (IN in) (NP (NN uniform)))) (VP (VBP work) (ADVP (RB together))) (. .))),Uniformed men work together outside.,( ( Uniformed men ) ( ( ( work together ) outside ) . ) ),(ROOT (S (NP (JJ Uniformed) (NNS men)) (VP (VBP work) (ADVP (RB together)) (ADVP (RB outside))) (. .))) +1608,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'neutral']",11536856.jpg#4,contradiction,11536856.jpg#4r1c,An elderly woman places carrots into a casserole.,( ( An ( elderly woman ) ) ( ( ( places carrots ) ( into ( a casserole ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN woman)) (VP (VBZ places) (NP (NNS carrots)) (PP (IN into) (NP (DT a) (NN casserole)))) (. .))),An elderly woman puts beets into a casserole,( ( An ( elderly woman ) ) ( ( puts beets ) ( into ( a casserole ) ) ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN woman)) (VP (VBZ puts) (NP (NNS beets)) (PP (IN into) (NP (DT a) (NN casserole)))))) +1609,['entailment'],11536856.jpg#4,entailment,11536856.jpg#4r1e,An elderly woman places carrots into a casserole.,( ( An ( elderly woman ) ) ( ( ( places carrots ) ( into ( a casserole ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN woman)) (VP (VBZ places) (NP (NNS carrots)) (PP (IN into) (NP (DT a) (NN casserole)))) (. .))),An elderly woman puts carrots into a casserole,( ( An ( elderly woman ) ) ( ( puts carrots ) ( into ( a casserole ) ) ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN woman)) (VP (VBZ puts) (NP (NNS carrots)) (PP (IN into) (NP (DT a) (NN casserole)))))) +1610,['neutral'],11536856.jpg#4,neutral,11536856.jpg#4r1n,An elderly woman places carrots into a casserole.,( ( An ( elderly woman ) ) ( ( ( places carrots ) ( into ( a casserole ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ elderly) (NN woman)) (VP (VBZ places) (NP (NNS carrots)) (PP (IN into) (NP (DT a) (NN casserole)))) (. .))),An elderly woman slices carrots for a casserole,( ( An ( elderly woman ) ) ( ( slices carrots ) ( for ( a casserole ) ) ) ),(ROOT (NP (NP (DT An) (JJ elderly) (NN woman)) (NP (NP (JJ slices) (NNS carrots)) (PP (IN for) (NP (DT a) (NN casserole)))))) +1611,['entailment'],3342450499.jpg#4,entailment,3342450499.jpg#4r1e,A man in a gray vehicle feeding sheep.,( ( ( A man ) ( in ( a ( gray ( vehicle ( feeding sheep ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ gray) (NN vehicle) (NN feeding) (NN sheep))) (. .))),The man is outside.,( ( The man ) ( ( is outside ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (ADVP (RB outside))) (. .))) +1612,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",3342450499.jpg#4,contradiction,3342450499.jpg#4r1c,A man in a gray vehicle feeding sheep.,( ( ( A man ) ( in ( a ( gray ( vehicle ( feeding sheep ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ gray) (NN vehicle) (NN feeding) (NN sheep))) (. .))),The man is riding a horse.,( ( The man ) ( ( is ( riding ( a horse ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG riding) (NP (DT a) (NN horse)))) (. .))) +1613,['neutral'],3342450499.jpg#4,neutral,3342450499.jpg#4r1n,A man in a gray vehicle feeding sheep.,( ( ( A man ) ( in ( a ( gray ( vehicle ( feeding sheep ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ gray) (NN vehicle) (NN feeding) (NN sheep))) (. .))),The man is a sheperd in Scotland.,( ( The man ) ( ( is ( ( a sheperd ) ( in Scotland ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (NP (NP (DT a) (NN sheperd)) (PP (IN in) (NP (NNP Scotland))))) (. .))) +1614,['entailment'],2941668295.jpg#0,entailment,2941668295.jpg#0r1e,"Three men are grouped around the back of a car with its tailgate out, two of the men clothed in yellow uniforms and one in blue.","( ( Three men ) ( ( are ( ( ( ( grouped ( around ( ( the back ) ( of ( ( a car ) ( with ( its tailgate ) ) ) ) ) ) ) out ) , ) ( two ( of ( ( the men ) ( ( clothed ( in ( ( ( yellow uniforms ) and ) one ) ) ) ( in blue ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (VP (VBN grouped) (PP (IN around) (NP (NP (DT the) (NN back)) (PP (IN of) (NP (NP (DT a) (NN car)) (PP (IN with) (NP (PRP$ its) (NN tailgate))))))) (ADVP (RB out)) (, ,) (NP (NP (CD two)) (PP (IN of) (NP (NP (DT the) (NNS men)) (VP (VBN clothed) (PP (IN in) (NP (NP (JJ yellow) (NNS uniforms)) (CC and) (NP (CD one)))) (PP (IN in) (NP (NN blue))))))))) (. .)))", Three men are grouped around the back of a car.,( ( Three men ) ( ( are ( grouped ( around ( ( the back ) ( of ( a car ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (VP (VBN grouped) (PP (IN around) (NP (NP (DT the) (NN back)) (PP (IN of) (NP (DT a) (NN car))))))) (. .))) +1615,['neutral'],2941668295.jpg#0,neutral,2941668295.jpg#0r1n,"Three men are grouped around the back of a car with its tailgate out, two of the men clothed in yellow uniforms and one in blue.","( ( Three men ) ( ( are ( ( ( ( grouped ( around ( ( the back ) ( of ( ( a car ) ( with ( its tailgate ) ) ) ) ) ) ) out ) , ) ( two ( of ( ( the men ) ( ( clothed ( in ( ( ( yellow uniforms ) and ) one ) ) ) ( in blue ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (VP (VBN grouped) (PP (IN around) (NP (NP (DT the) (NN back)) (PP (IN of) (NP (NP (DT a) (NN car)) (PP (IN with) (NP (PRP$ its) (NN tailgate))))))) (ADVP (RB out)) (, ,) (NP (NP (CD two)) (PP (IN of) (NP (NP (DT the) (NNS men)) (VP (VBN clothed) (PP (IN in) (NP (NP (JJ yellow) (NNS uniforms)) (CC and) (NP (CD one)))) (PP (IN in) (NP (NN blue))))))))) (. .)))", Three men are grouped around the back of a car laughing.,( ( Three men ) ( ( are ( grouped ( around ( ( the back ) ( of ( a ( car laughing ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (VP (VBN grouped) (PP (IN around) (NP (NP (DT the) (NN back)) (PP (IN of) (NP (DT a) (NN car) (NN laughing))))))) (. .))) +1616,['contradiction'],2941668295.jpg#0,contradiction,2941668295.jpg#0r1c,"Three men are grouped around the back of a car with its tailgate out, two of the men clothed in yellow uniforms and one in blue.","( ( Three men ) ( ( are ( ( ( ( grouped ( around ( ( the back ) ( of ( ( a car ) ( with ( its tailgate ) ) ) ) ) ) ) out ) , ) ( two ( of ( ( the men ) ( ( clothed ( in ( ( ( yellow uniforms ) and ) one ) ) ) ( in blue ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (VP (VBN grouped) (PP (IN around) (NP (NP (DT the) (NN back)) (PP (IN of) (NP (NP (DT a) (NN car)) (PP (IN with) (NP (PRP$ its) (NN tailgate))))))) (ADVP (RB out)) (, ,) (NP (NP (CD two)) (PP (IN of) (NP (NP (DT the) (NNS men)) (VP (VBN clothed) (PP (IN in) (NP (NP (JJ yellow) (NNS uniforms)) (CC and) (NP (CD one)))) (PP (IN in) (NP (NN blue))))))))) (. .)))",Three men are swimming in a lake.,( ( Three men ) ( ( are ( swimming ( in ( a lake ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (VP (VBG swimming) (PP (IN in) (NP (DT a) (NN lake))))) (. .))) +1617,['neutral'],2941668295.jpg#1,neutral,2941668295.jpg#1r1n,"Three men, two wearing yellow suits, are looking in the back of a car.","( ( ( ( ( Three men ) , ) ( two ( wearing ( yellow suits ) ) ) ) , ) ( ( are ( looking ( in ( ( the back ) ( of ( a car ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Three) (NNS men)) (, ,) (NP (NP (CD two)) (VP (VBG wearing) (NP (JJ yellow) (NNS suits)))) (, ,)) (VP (VBP are) (VP (VBG looking) (PP (IN in) (NP (NP (DT the) (NN back)) (PP (IN of) (NP (DT a) (NN car))))))) (. .)))",Two salesmen at work.,( ( ( Two salesmen ) ( at work ) ) . ),(ROOT (NP (NP (CD Two) (NNS salesmen)) (PP (IN at) (NP (NN work))) (. .))) +1618,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",2941668295.jpg#1,entailment,2941668295.jpg#1r1e,"Three men, two wearing yellow suits, are looking in the back of a car.","( ( ( ( ( Three men ) , ) ( two ( wearing ( yellow suits ) ) ) ) , ) ( ( are ( looking ( in ( ( the back ) ( of ( a car ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Three) (NNS men)) (, ,) (NP (NP (CD two)) (VP (VBG wearing) (NP (JJ yellow) (NNS suits)))) (, ,)) (VP (VBP are) (VP (VBG looking) (PP (IN in) (NP (NP (DT the) (NN back)) (PP (IN of) (NP (DT a) (NN car))))))) (. .)))",Three men looking at a car.,( ( ( Three men ) ( looking ( at ( a car ) ) ) ) . ),(ROOT (NP (NP (CD Three) (NNS men)) (VP (VBG looking) (PP (IN at) (NP (DT a) (NN car)))) (. .))) +1619,['contradiction'],2941668295.jpg#1,contradiction,2941668295.jpg#1r1c,"Three men, two wearing yellow suits, are looking in the back of a car.","( ( ( ( ( Three men ) , ) ( two ( wearing ( yellow suits ) ) ) ) , ) ( ( are ( looking ( in ( ( the back ) ( of ( a car ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (CD Three) (NNS men)) (, ,) (NP (NP (CD two)) (VP (VBG wearing) (NP (JJ yellow) (NNS suits)))) (, ,)) (VP (VBP are) (VP (VBG looking) (PP (IN in) (NP (NP (DT the) (NN back)) (PP (IN of) (NP (DT a) (NN car))))))) (. .)))",Three men breaking into a car.,( ( ( Three men ) ( breaking ( into ( a car ) ) ) ) . ),(ROOT (NP (NP (CD Three) (NNS men)) (VP (VBG breaking) (PP (IN into) (NP (DT a) (NN car)))) (. .))) +1620,['neutral'],2941668295.jpg#2,neutral,2941668295.jpg#2r1n,Emergency personnel looking into the back of a car.,( ( ( Emergency personnel ) ( looking ( into ( ( the back ) ( of ( a car ) ) ) ) ) ) . ),(ROOT (NP (NP (NN Emergency) (NNS personnel)) (VP (VBG looking) (PP (IN into) (NP (NP (DT the) (NN back)) (PP (IN of) (NP (DT a) (NN car)))))) (. .))),Emergency personnel are looking for a child in a car.,( ( Emergency personnel ) ( ( are ( looking ( for ( ( a child ) ( in ( a car ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Emergency) (NNS personnel)) (VP (VBP are) (VP (VBG looking) (PP (IN for) (NP (NP (DT a) (NN child)) (PP (IN in) (NP (DT a) (NN car))))))) (. .))) +1621,['entailment'],2941668295.jpg#2,entailment,2941668295.jpg#2r1e,Emergency personnel looking into the back of a car.,( ( ( Emergency personnel ) ( looking ( into ( ( the back ) ( of ( a car ) ) ) ) ) ) . ),(ROOT (NP (NP (NN Emergency) (NNS personnel)) (VP (VBG looking) (PP (IN into) (NP (NP (DT the) (NN back)) (PP (IN of) (NP (DT a) (NN car)))))) (. .))),People are looking in a car.,( People ( ( are ( looking ( in ( a car ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG looking) (PP (IN in) (NP (DT a) (NN car))))) (. .))) +1622,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",2941668295.jpg#2,contradiction,2941668295.jpg#2r1c,Emergency personnel looking into the back of a car.,( ( ( Emergency personnel ) ( looking ( into ( ( the back ) ( of ( a car ) ) ) ) ) ) . ),(ROOT (NP (NP (NN Emergency) (NNS personnel)) (VP (VBG looking) (PP (IN into) (NP (NP (DT the) (NN back)) (PP (IN of) (NP (DT a) (NN car)))))) (. .))),Emergency personnel are eating.,( ( Emergency personnel ) ( ( are eating ) . ) ),(ROOT (S (NP (NNP Emergency) (NNS personnel)) (VP (VBP are) (VP (VBG eating))) (. .))) +1623,['entailment'],2941668295.jpg#3,entailment,2941668295.jpg#3r1e,Some firefighters check a vehicle.,( ( Some firefighters ) ( ( check ( a vehicle ) ) . ) ),(ROOT (S (NP (DT Some) (NNS firefighters)) (VP (VBP check) (NP (DT a) (NN vehicle))) (. .))),Firefighters are checking a car.,( Firefighters ( ( are ( checking ( a car ) ) ) . ) ),(ROOT (S (NP (NNS Firefighters)) (VP (VBP are) (VP (VBG checking) (NP (DT a) (NN car)))) (. .))) +1624,['contradiction'],2941668295.jpg#3,contradiction,2941668295.jpg#3r1c,Some firefighters check a vehicle.,( ( Some firefighters ) ( ( check ( a vehicle ) ) . ) ),(ROOT (S (NP (DT Some) (NNS firefighters)) (VP (VBP check) (NP (DT a) (NN vehicle))) (. .))),Firefighters are rescuing a cat from the tree.,( Firefighters ( ( are ( ( rescuing ( a cat ) ) ( from ( the tree ) ) ) ) . ) ),(ROOT (S (NP (NNS Firefighters)) (VP (VBP are) (VP (VBG rescuing) (NP (DT a) (NN cat)) (PP (IN from) (NP (DT the) (NN tree))))) (. .))) +1625,['neutral'],2941668295.jpg#3,neutral,2941668295.jpg#3r1n,Some firefighters check a vehicle.,( ( Some firefighters ) ( ( check ( a vehicle ) ) . ) ),(ROOT (S (NP (DT Some) (NNS firefighters)) (VP (VBP check) (NP (DT a) (NN vehicle))) (. .))),Firefighters are looking for a cat in the car.,( Firefighters ( ( are ( looking ( for ( ( a cat ) ( in ( the car ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNS Firefighters)) (VP (VBP are) (VP (VBG looking) (PP (IN for) (NP (NP (DT a) (NN cat)) (PP (IN in) (NP (DT the) (NN car))))))) (. .))) +1626,['neutral'],272471327.jpg#2,neutral,272471327.jpg#2r1n,A man in a kitchen is frying breaded food in a cast iron pan.,( ( ( A man ) ( in ( a kitchen ) ) ) ( ( is ( frying ( ( breaded food ) ( in ( a ( cast ( iron pan ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (NN kitchen)))) (VP (VBZ is) (VP (VBG frying) (NP (NP (VBN breaded) (NN food)) (PP (IN in) (NP (DT a) (NN cast) (NN iron) (NN pan)))))) (. .))),The food is greasy.,( ( The food ) ( ( is greasy ) . ) ),(ROOT (S (NP (DT The) (NN food)) (VP (VBZ is) (ADJP (JJ greasy))) (. .))) +1627,['contradiction'],272471327.jpg#2,contradiction,272471327.jpg#2r1c,A man in a kitchen is frying breaded food in a cast iron pan.,( ( ( A man ) ( in ( a kitchen ) ) ) ( ( is ( frying ( ( breaded food ) ( in ( a ( cast ( iron pan ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (NN kitchen)))) (VP (VBZ is) (VP (VBG frying) (NP (NP (VBN breaded) (NN food)) (PP (IN in) (NP (DT a) (NN cast) (NN iron) (NN pan)))))) (. .))),Got some oceanfront property in Arizona.,( ( ( Got ( some ( oceanfront property ) ) ) ( in Arizona ) ) . ),(ROOT (S (VP (VBD Got) (NP (DT some) (JJ oceanfront) (NN property)) (PP (IN in) (NP (NNP Arizona)))) (. .))) +1628,['entailment'],272471327.jpg#2,entailment,272471327.jpg#2r1e,A man in a kitchen is frying breaded food in a cast iron pan.,( ( ( A man ) ( in ( a kitchen ) ) ) ( ( is ( frying ( ( breaded food ) ( in ( a ( cast ( iron pan ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (NN kitchen)))) (VP (VBZ is) (VP (VBG frying) (NP (NP (VBN breaded) (NN food)) (PP (IN in) (NP (DT a) (NN cast) (NN iron) (NN pan)))))) (. .))),A man cooks.,( ( A man ) ( cooks . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBD cooks)) (. .))) +1629,['neutral'],4770979319.jpg#3,neutral,4770979319.jpg#3r1n,A woman in colorful garb with her back to the camera and cloth on her hear.,( ( ( A woman ) ( in ( ( colorful garb ) ( with ( ( her back ) ( to ( ( the ( ( camera and ) cloth ) ) ( on her ) ) ) ) ) ) ) ) ( hear . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (JJ colorful) (NN garb)) (PP (IN with) (NP (NP (PRP$ her) (NN back)) (PP (TO to) (NP (NP (DT the) (NN camera) (CC and) (NN cloth)) (PP (IN on) (NP (PRP her)))))))))) (VP (VBP hear)) (. .))),A woman is in colorful garb.,( ( A woman ) ( ( is ( in ( colorful garb ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (PP (IN in) (NP (JJ colorful) (NN garb)))) (. .))) +1630,['entailment'],4770979319.jpg#3,entailment,4770979319.jpg#3r1e,A woman in colorful garb with her back to the camera and cloth on her hear.,( ( ( A woman ) ( in ( ( colorful garb ) ( with ( ( her back ) ( to ( ( the ( ( camera and ) cloth ) ) ( on her ) ) ) ) ) ) ) ) ( hear . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (JJ colorful) (NN garb)) (PP (IN with) (NP (NP (PRP$ her) (NN back)) (PP (TO to) (NP (NP (DT the) (NN camera) (CC and) (NN cloth)) (PP (IN on) (NP (PRP her)))))))))) (VP (VBP hear)) (. .))),A woman has her back to the camera.,( ( A woman ) ( ( ( has ( her back ) ) ( to ( the camera ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ has) (NP (PRP$ her) (NN back)) (PP (TO to) (NP (DT the) (NN camera)))) (. .))) +1631,['contradiction'],4770979319.jpg#3,contradiction,4770979319.jpg#3r1c,A woman in colorful garb with her back to the camera and cloth on her hear.,( ( ( A woman ) ( in ( ( colorful garb ) ( with ( ( her back ) ( to ( ( the ( ( camera and ) cloth ) ) ( on her ) ) ) ) ) ) ) ) ( hear . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (JJ colorful) (NN garb)) (PP (IN with) (NP (NP (PRP$ her) (NN back)) (PP (TO to) (NP (NP (DT the) (NN camera) (CC and) (NN cloth)) (PP (IN on) (NP (PRP her)))))))))) (VP (VBP hear)) (. .))),A nun is praying.,( ( A nun ) ( ( is praying ) . ) ),(ROOT (S (NP (DT A) (NN nun)) (VP (VBZ is) (VP (VBG praying))) (. .))) +1632,['entailment'],4770979319.jpg#0,entailment,4770979319.jpg#0r1e,A woman in colorful native attire featuring a blue shirt with a colorful design displays her dark hair braided with red ribbons.,( ( ( A woman ) ( in ( ( colorful ( native attire ) ) ( ( featuring ( a ( blue shirt ) ) ) ( with ( a ( colorful design ) ) ) ) ) ) ) ( ( displays ( ( her ( dark hair ) ) ( braided ( with ( red ribbons ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (JJ colorful) (JJ native) (NN attire)) (VP (VBG featuring) (NP (DT a) (JJ blue) (NN shirt)) (PP (IN with) (NP (DT a) (JJ colorful) (NN design))))))) (VP (VBZ displays) (NP (NP (PRP$ her) (JJ dark) (NN hair)) (VP (VBN braided) (PP (IN with) (NP (JJ red) (NNS ribbons)))))) (. .))),A woman is dressed stylishly in native garb.,( ( A woman ) ( ( is ( dressed ( stylishly ( in ( native garb ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBN dressed) (S (ADJP (RB stylishly) (PP (IN in) (NP (JJ native) (NN garb))))))) (. .))) +1633,['neutral'],4770979319.jpg#0,neutral,4770979319.jpg#0r1n,A woman in colorful native attire featuring a blue shirt with a colorful design displays her dark hair braided with red ribbons.,( ( ( A woman ) ( in ( ( colorful ( native attire ) ) ( ( featuring ( a ( blue shirt ) ) ) ( with ( a ( colorful design ) ) ) ) ) ) ) ( ( displays ( ( her ( dark hair ) ) ( braided ( with ( red ribbons ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (JJ colorful) (JJ native) (NN attire)) (VP (VBG featuring) (NP (DT a) (JJ blue) (NN shirt)) (PP (IN with) (NP (DT a) (JJ colorful) (NN design))))))) (VP (VBZ displays) (NP (NP (PRP$ her) (JJ dark) (NN hair)) (VP (VBN braided) (PP (IN with) (NP (JJ red) (NNS ribbons)))))) (. .))),A woman is dressed in her native clothing in preparation for her wedding.,( ( A woman ) ( ( is ( ( dressed ( in ( ( her ( native clothing ) ) ( in preparation ) ) ) ) ( for ( her wedding ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBN dressed) (PP (IN in) (NP (NP (PRP$ her) (JJ native) (NN clothing)) (PP (IN in) (NP (NN preparation))))) (PP (IN for) (NP (PRP$ her) (NN wedding))))) (. .))) +1634,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'entailment']",4770979319.jpg#0,contradiction,4770979319.jpg#0r1c,A woman in colorful native attire featuring a blue shirt with a colorful design displays her dark hair braided with red ribbons.,( ( ( A woman ) ( in ( ( colorful ( native attire ) ) ( ( featuring ( a ( blue shirt ) ) ) ( with ( a ( colorful design ) ) ) ) ) ) ) ( ( displays ( ( her ( dark hair ) ) ( braided ( with ( red ribbons ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (JJ colorful) (JJ native) (NN attire)) (VP (VBG featuring) (NP (DT a) (JJ blue) (NN shirt)) (PP (IN with) (NP (DT a) (JJ colorful) (NN design))))))) (VP (VBZ displays) (NP (NP (PRP$ her) (JJ dark) (NN hair)) (VP (VBN braided) (PP (IN with) (NP (JJ red) (NNS ribbons)))))) (. .))),A woman is dressed to run track.,( ( A woman ) ( ( is ( dressed ( to ( run track ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBN dressed) (S (VP (TO to) (VP (VB run) (NP (NN track))))))) (. .))) +1635,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",2508019949.jpg#4,entailment,2508019949.jpg#4r1e,Oddly dressed man walking down the street.,( Oddly ( ( ( dressed man ) ( ( walking down ) ( the street ) ) ) . ) ),(ROOT (S (NP (NNP Oddly)) (VP (VBD dressed) (NP (NN man)) (S (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN street))))) (. .))),An oddly dressed man walking.,( ( ( An ( ( oddly dressed ) man ) ) walking ) . ),(ROOT (NP (NP (DT An) (ADJP (RB oddly) (VBN dressed)) (NN man)) (VP (VBG walking)) (. .))) +1636,['contradiction'],2508019949.jpg#4,contradiction,2508019949.jpg#4r1c,Oddly dressed man walking down the street.,( Oddly ( ( ( dressed man ) ( ( walking down ) ( the street ) ) ) . ) ),(ROOT (S (NP (NNP Oddly)) (VP (VBD dressed) (NP (NN man)) (S (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN street))))) (. .))),A woman enjoying a walk.,( ( ( A woman ) ( enjoying ( a walk ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG enjoying) (NP (DT a) (NN walk))) (. .))) +1637,['neutral'],2508019949.jpg#4,neutral,2508019949.jpg#4r1n,Oddly dressed man walking down the street.,( Oddly ( ( ( dressed man ) ( ( walking down ) ( the street ) ) ) . ) ),(ROOT (S (NP (NNP Oddly)) (VP (VBD dressed) (NP (NN man)) (S (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN street))))) (. .))),A man enjoying a walk.,( ( ( A man ) ( enjoying ( a walk ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG enjoying) (NP (DT a) (NN walk))) (. .))) +1638,['neutral'],2508019949.jpg#3,neutral,2508019949.jpg#3r1n,A man in ruffles pushes a stroller through a park.,( ( ( A man ) ( in ruffles ) ) ( ( ( pushes ( a stroller ) ) ( through ( a park ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NNP ruffles)))) (VP (VBZ pushes) (NP (DT a) (NN stroller)) (PP (IN through) (NP (DT a) (NN park)))) (. .))),The man has his baby in the stroller.,( ( The man ) ( ( has ( ( his baby ) ( in ( the stroller ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ has) (NP (NP (PRP$ his) (NN baby)) (PP (IN in) (NP (DT the) (NN stroller))))) (. .))) +1639,['contradiction'],2508019949.jpg#3,contradiction,2508019949.jpg#3r1c,A man in ruffles pushes a stroller through a park.,( ( ( A man ) ( in ruffles ) ) ( ( ( pushes ( a stroller ) ) ( through ( a park ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NNP ruffles)))) (VP (VBZ pushes) (NP (DT a) (NN stroller)) (PP (IN through) (NP (DT a) (NN park)))) (. .))),The man is pushing the stroller through his house.,( ( The man ) ( ( is ( ( pushing ( the stroller ) ) ( through ( his house ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG pushing) (NP (DT the) (NN stroller)) (PP (IN through) (NP (PRP$ his) (NN house))))) (. .))) +1640,['entailment'],2508019949.jpg#3,entailment,2508019949.jpg#3r1e,A man in ruffles pushes a stroller through a park.,( ( ( A man ) ( in ruffles ) ) ( ( ( pushes ( a stroller ) ) ( through ( a park ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NNP ruffles)))) (VP (VBZ pushes) (NP (DT a) (NN stroller)) (PP (IN through) (NP (DT a) (NN park)))) (. .))),The man is pushing a stroller.,( ( The man ) ( ( is ( pushing ( a stroller ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG pushing) (NP (DT a) (NN stroller)))) (. .))) +1641,['neutral'],2508019949.jpg#2,neutral,2508019949.jpg#2r1n,An oddly dressed man pushing a stroller down a sidewalk in a park.,( ( ( An ( ( oddly dressed ) man ) ) ( ( pushing ( a stroller ) ) ( down ( ( a sidewalk ) ( in ( a park ) ) ) ) ) ) . ),(ROOT (NP (NP (DT An) (ADJP (RB oddly) (VBN dressed)) (NN man)) (VP (VBG pushing) (NP (DT a) (NN stroller)) (PP (IN down) (NP (NP (DT a) (NN sidewalk)) (PP (IN in) (NP (DT a) (NN park)))))) (. .))),The man is walking with his son.,( ( The man ) ( ( is ( walking ( with ( his son ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG walking) (PP (IN with) (NP (PRP$ his) (NN son))))) (. .))) +1642,['contradiction'],2508019949.jpg#2,contradiction,2508019949.jpg#2r1c,An oddly dressed man pushing a stroller down a sidewalk in a park.,( ( ( An ( ( oddly dressed ) man ) ) ( ( pushing ( a stroller ) ) ( down ( ( a sidewalk ) ( in ( a park ) ) ) ) ) ) . ),(ROOT (NP (NP (DT An) (ADJP (RB oddly) (VBN dressed)) (NN man)) (VP (VBG pushing) (NP (DT a) (NN stroller)) (PP (IN down) (NP (NP (DT a) (NN sidewalk)) (PP (IN in) (NP (DT a) (NN park)))))) (. .))),The man is walking his dog on the beach.,( ( The man ) ( ( is ( ( walking ( his dog ) ) ( on ( the beach ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG walking) (NP (PRP$ his) (NN dog)) (PP (IN on) (NP (DT the) (NN beach))))) (. .))) +1643,['entailment'],2508019949.jpg#2,entailment,2508019949.jpg#2r1e,An oddly dressed man pushing a stroller down a sidewalk in a park.,( ( ( An ( ( oddly dressed ) man ) ) ( ( pushing ( a stroller ) ) ( down ( ( a sidewalk ) ( in ( a park ) ) ) ) ) ) . ),(ROOT (NP (NP (DT An) (ADJP (RB oddly) (VBN dressed)) (NN man)) (VP (VBG pushing) (NP (DT a) (NN stroller)) (PP (IN down) (NP (NP (DT a) (NN sidewalk)) (PP (IN in) (NP (DT a) (NN park)))))) (. .))),A man wearing weird clothes is walking through a park.,( ( ( A man ) ( wearing ( weird clothes ) ) ) ( ( is ( walking ( through ( a park ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (JJ weird) (NNS clothes)))) (VP (VBZ is) (VP (VBG walking) (PP (IN through) (NP (DT a) (NN park))))) (. .))) +1644,['neutral'],272471327.jpg#4,neutral,272471327.jpg#4r1n,A smiling man cooks something delicious.,( ( A ( smiling man ) ) ( ( cooks ( something delicious ) ) . ) ),(ROOT (S (NP (DT A) (VBG smiling) (NN man)) (VP (VBD cooks) (S (NP (NN something)) (ADJP (JJ delicious)))) (. .))),The man is preparing a feast for his wife,( ( The man ) ( is ( preparing ( ( a feast ) ( for ( his wife ) ) ) ) ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG preparing) (NP (NP (DT a) (NN feast)) (PP (IN for) (NP (PRP$ his) (NN wife)))))))) +1645,['entailment'],272471327.jpg#4,entailment,272471327.jpg#4r1e,A smiling man cooks something delicious.,( ( A ( smiling man ) ) ( ( cooks ( something delicious ) ) . ) ),(ROOT (S (NP (DT A) (VBG smiling) (NN man)) (VP (VBD cooks) (S (NP (NN something)) (ADJP (JJ delicious)))) (. .))),The man is cooking,( ( The man ) ( is cooking ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG cooking))))) +1646,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",272471327.jpg#4,contradiction,272471327.jpg#4r1c,A smiling man cooks something delicious.,( ( A ( smiling man ) ) ( ( cooks ( something delicious ) ) . ) ),(ROOT (S (NP (DT A) (VBG smiling) (NN man)) (VP (VBD cooks) (S (NP (NN something)) (ADJP (JJ delicious)))) (. .))),The child colors with crayons,( ( The child ) ( colors ( with crayons ) ) ),(ROOT (NP (NP (DT The) (NN child)) (NP (NP (NNS colors)) (PP (IN with) (NP (NNS crayons)))))) +1647,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",4796732957.jpg#1,entailment,4796732957.jpg#1r1e,a young man wearing a backpack and sunglasses is walking towards a shopping area.,( ( ( a ( young man ) ) ( wearing ( ( ( a backpack ) and ) sunglasses ) ) ) ( ( is ( walking ( towards ( a ( shopping area ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (JJ young) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (NN backpack)) (CC and) (NP (NNS sunglasses))))) (VP (VBZ is) (VP (VBG walking) (PP (IN towards) (NP (DT a) (NN shopping) (NN area))))) (. .))),A man walks near a store,( ( A man ) ( walks ( near ( a store ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ walks) (PP (IN near) (NP (DT a) (NN store)))))) +1648,['contradiction'],4796732957.jpg#1,contradiction,4796732957.jpg#1r1c,a young man wearing a backpack and sunglasses is walking towards a shopping area.,( ( ( a ( young man ) ) ( wearing ( ( ( a backpack ) and ) sunglasses ) ) ) ( ( is ( walking ( towards ( a ( shopping area ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (JJ young) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (NN backpack)) (CC and) (NP (NNS sunglasses))))) (VP (VBZ is) (VP (VBG walking) (PP (IN towards) (NP (DT a) (NN shopping) (NN area))))) (. .))),Two ducks quacking at each other,( ( ( Two ducks ) quacking ) ( at ( each other ) ) ),(ROOT (ADJP (ADJP (NP (CD Two) (NNS ducks)) (JJ quacking)) (PP (IN at) (NP (DT each) (JJ other))))) +1649,['neutral'],4796732957.jpg#1,neutral,4796732957.jpg#1r1n,a young man wearing a backpack and sunglasses is walking towards a shopping area.,( ( ( a ( young man ) ) ( wearing ( ( ( a backpack ) and ) sunglasses ) ) ) ( ( is ( walking ( towards ( a ( shopping area ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (JJ young) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (NN backpack)) (CC and) (NP (NNS sunglasses))))) (VP (VBZ is) (VP (VBG walking) (PP (IN towards) (NP (DT a) (NN shopping) (NN area))))) (. .))),The man is planning to rob the store,( ( The man ) ( is ( planning ( to ( rob ( the store ) ) ) ) ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG planning) (S (VP (TO to) (VP (VB rob) (NP (DT the) (NN store))))))))) +1650,"['entailment', 'entailment', 'entailment', 'entailment', 'neutral']",4796732957.jpg#0,entailment,4796732957.jpg#0r1e,A young man wearing a backpack and dark glasses approaches the brick building where there is a bit of graffiti on the wall.,( ( ( A ( young man ) ) ( wearing ( ( ( a backpack ) and ) ( dark glasses ) ) ) ) ( ( approaches ( ( the ( brick building ) ) ( where ( there ( is ( ( a bit ) ( of ( graffiti ( on ( the wall ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (NN backpack)) (CC and) (NP (JJ dark) (NNS glasses))))) (VP (VBZ approaches) (NP (NP (DT the) (NN brick) (NN building)) (SBAR (WHADVP (WRB where)) (S (NP (EX there)) (VP (VBZ is) (NP (NP (DT a) (NN bit)) (PP (IN of) (NP (NP (NNS graffiti)) (PP (IN on) (NP (DT the) (NN wall))))))))))) (. .))),The young man has glasses on his face.,( ( The ( young man ) ) ( ( has ( glasses ( on ( his face ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ young) (NN man)) (VP (VBZ has) (NP (NP (NNS glasses)) (PP (IN on) (NP (PRP$ his) (NN face))))) (. .))) +1651,['contradiction'],4796732957.jpg#0,contradiction,4796732957.jpg#0r1c,A young man wearing a backpack and dark glasses approaches the brick building where there is a bit of graffiti on the wall.,( ( ( A ( young man ) ) ( wearing ( ( ( a backpack ) and ) ( dark glasses ) ) ) ) ( ( approaches ( ( the ( brick building ) ) ( where ( there ( is ( ( a bit ) ( of ( graffiti ( on ( the wall ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (NN backpack)) (CC and) (NP (JJ dark) (NNS glasses))))) (VP (VBZ approaches) (NP (NP (DT the) (NN brick) (NN building)) (SBAR (WHADVP (WRB where)) (S (NP (EX there)) (VP (VBZ is) (NP (NP (DT a) (NN bit)) (PP (IN of) (NP (NP (NNS graffiti)) (PP (IN on) (NP (DT the) (NN wall))))))))))) (. .))),There is nothing on the wall but bricks.,( There ( ( is ( nothing ( on ( ( the wall ) ( but bricks ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (NN nothing)) (PP (IN on) (NP (NP (DT the) (NN wall)) (PP (CC but) (NP (NNS bricks))))))) (. .))) +1652,['neutral'],4796732957.jpg#0,neutral,4796732957.jpg#0r1n,A young man wearing a backpack and dark glasses approaches the brick building where there is a bit of graffiti on the wall.,( ( ( A ( young man ) ) ( wearing ( ( ( a backpack ) and ) ( dark glasses ) ) ) ) ( ( approaches ( ( the ( brick building ) ) ( where ( there ( is ( ( a bit ) ( of ( graffiti ( on ( the wall ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN man)) (VP (VBG wearing) (NP (NP (DT a) (NN backpack)) (CC and) (NP (JJ dark) (NNS glasses))))) (VP (VBZ approaches) (NP (NP (DT the) (NN brick) (NN building)) (SBAR (WHADVP (WRB where)) (S (NP (EX there)) (VP (VBZ is) (NP (NP (DT a) (NN bit)) (PP (IN of) (NP (NP (NNS graffiti)) (PP (IN on) (NP (DT the) (NN wall))))))))))) (. .))),The man helped create the graffiti.,( ( The man ) ( ( helped ( create ( the graffiti ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBD helped) (VP (VB create) (NP (DT the) (NN graffiti)))) (. .))) +1653,['neutral'],3585488964.jpg#0,neutral,3585488964.jpg#0r1n,A brown dog running with two white and brown dogs on the seashore with crashing waves behind them.,( ( ( A ( brown dog ) ) ( ( running ( with ( ( two ( ( ( white and ) brown ) dogs ) ) ( on ( the seashore ) ) ) ) ) ( with ( ( crashing waves ) ( behind them ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ brown) (NN dog)) (VP (VBG running) (PP (IN with) (NP (NP (CD two) (ADJP (JJ white) (CC and) (JJ brown)) (NNS dogs)) (PP (IN on) (NP (DT the) (NN seashore))))) (PP (IN with) (S (VP (VBG crashing) (NP (NNS waves)) (PP (IN behind) (NP (PRP them))))))) (. .))),The dogs are running along the shore to meet their master who just beached his kayak,( ( The dogs ) ( are ( ( running ( along ( the shore ) ) ) ( to ( meet ( ( their master ) ( who ( just ( beached ( his kayak ) ) ) ) ) ) ) ) ) ),(ROOT (S (NP (DT The) (NNS dogs)) (VP (VBP are) (VP (VBG running) (PP (IN along) (NP (DT the) (NN shore))) (S (VP (TO to) (VP (VB meet) (NP (NP (PRP$ their) (NN master)) (SBAR (WHNP (WP who)) (S (ADVP (RB just)) (VP (VBD beached) (NP (PRP$ his) (NN kayak))))))))))))) +1654,['contradiction'],3585488964.jpg#0,contradiction,3585488964.jpg#0r1c,A brown dog running with two white and brown dogs on the seashore with crashing waves behind them.,( ( ( A ( brown dog ) ) ( ( running ( with ( ( two ( ( ( white and ) brown ) dogs ) ) ( on ( the seashore ) ) ) ) ) ( with ( ( crashing waves ) ( behind them ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ brown) (NN dog)) (VP (VBG running) (PP (IN with) (NP (NP (CD two) (ADJP (JJ white) (CC and) (JJ brown)) (NNS dogs)) (PP (IN on) (NP (DT the) (NN seashore))))) (PP (IN with) (S (VP (VBG crashing) (NP (NNS waves)) (PP (IN behind) (NP (PRP them))))))) (. .))),The dogs were indorrs waiting for their dinner,( ( The dogs ) ( were ( indorrs ( waiting ( for ( their dinner ) ) ) ) ) ),(ROOT (S (NP (DT The) (NNS dogs)) (VP (VBD were) (NP (NP (NNS indorrs)) (VP (VBG waiting) (PP (IN for) (NP (PRP$ their) (NN dinner)))))))) +1655,['entailment'],3585488964.jpg#0,entailment,3585488964.jpg#0r1e,A brown dog running with two white and brown dogs on the seashore with crashing waves behind them.,( ( ( A ( brown dog ) ) ( ( running ( with ( ( two ( ( ( white and ) brown ) dogs ) ) ( on ( the seashore ) ) ) ) ) ( with ( ( crashing waves ) ( behind them ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ brown) (NN dog)) (VP (VBG running) (PP (IN with) (NP (NP (CD two) (ADJP (JJ white) (CC and) (JJ brown)) (NNS dogs)) (PP (IN on) (NP (DT the) (NN seashore))))) (PP (IN with) (S (VP (VBG crashing) (NP (NNS waves)) (PP (IN behind) (NP (PRP them))))))) (. .))),The dogs were outdoors running along the shore,( ( The dogs ) ( ( were outdoors ) ( running ( along ( the shore ) ) ) ) ),(ROOT (S (NP (DT The) (NNS dogs)) (VP (VBD were) (ADVP (RB outdoors)) (VP (VBG running) (PP (IN along) (NP (DT the) (NN shore))))))) +1656,['contradiction'],4796732957.jpg#2,contradiction,4796732957.jpg#2r1c,A young man in blue sunglasses walking in front of a red brick building.,( ( ( ( A ( young man ) ) ( in ( blue sunglasses ) ) ) ( walking ( in ( front ( of ( a ( red ( brick building ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (JJ blue) (NNS sunglasses)))) (VP (VBG walking) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (JJ red) (NN brick) (NN building)))))) (. .))),A guy with red glasses is sitting here.,( ( ( A guy ) ( with ( red glasses ) ) ) ( ( is ( sitting here ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN guy)) (PP (IN with) (NP (JJ red) (NNS glasses)))) (VP (VBZ is) (VP (VBG sitting) (ADVP (RB here)))) (. .))) +1657,"['entailment', 'entailment', 'neutral', 'entailment', 'entailment']",4796732957.jpg#2,entailment,4796732957.jpg#2r1e,A young man in blue sunglasses walking in front of a red brick building.,( ( ( ( A ( young man ) ) ( in ( blue sunglasses ) ) ) ( walking ( in ( front ( of ( a ( red ( brick building ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (JJ blue) (NNS sunglasses)))) (VP (VBG walking) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (JJ red) (NN brick) (NN building)))))) (. .))),Man in blue glasses walking pass a building,( Man ( in ( ( blue glasses ) ( walking ( pass ( a building ) ) ) ) ) ),(ROOT (NP (NP (NNP Man)) (PP (IN in) (NP (NP (JJ blue) (NNS glasses)) (VP (VBG walking) (S (VP (VB pass) (NP (DT a) (NN building))))))))) +1658,['neutral'],4796732957.jpg#2,neutral,4796732957.jpg#2r1n,A young man in blue sunglasses walking in front of a red brick building.,( ( ( ( A ( young man ) ) ( in ( blue sunglasses ) ) ) ( walking ( in ( front ( of ( a ( red ( brick building ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (JJ young) (NN man)) (PP (IN in) (NP (JJ blue) (NNS sunglasses)))) (VP (VBG walking) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (JJ red) (NN brick) (NN building)))))) (. .))),Some guys with glasses are going pass the buildings,( ( ( Some guys ) ( with glasses ) ) ( are ( going ( pass ( the buildings ) ) ) ) ),(ROOT (S (NP (NP (DT Some) (NNS guys)) (PP (IN with) (NP (NNS glasses)))) (VP (VBP are) (VP (VBG going) (S (VP (VB pass) (NP (DT the) (NNS buildings)))))))) +1659,"['contradiction', 'neutral', 'contradiction', 'contradiction', 'neutral']",3338217927.jpg#3,contradiction,3338217927.jpg#3r1c,A dog jumps to catch a toy in the snow.,( ( A dog ) ( ( jumps ( to ( catch ( ( a toy ) ( in ( the snow ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ jumps) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN toy)) (PP (IN in) (NP (DT the) (NN snow)))))))) (. .))),A dog jumps to catch a toy in Waikiki.,( ( A dog ) ( ( jumps ( to ( catch ( ( a toy ) ( in Waikiki ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ jumps) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN toy)) (PP (IN in) (NP (NNP Waikiki)))))))) (. .))) +1660,['neutral'],3338217927.jpg#3,neutral,3338217927.jpg#3r1n,A dog jumps to catch a toy in the snow.,( ( A dog ) ( ( jumps ( to ( catch ( ( a toy ) ( in ( the snow ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ jumps) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN toy)) (PP (IN in) (NP (DT the) (NN snow)))))))) (. .))),A dog jumps to catch a ball in the snow.,( ( A dog ) ( ( jumps ( to ( catch ( ( a ball ) ( in ( the snow ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ jumps) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN ball)) (PP (IN in) (NP (DT the) (NN snow)))))))) (. .))) +1661,['entailment'],3338217927.jpg#3,entailment,3338217927.jpg#3r1e,A dog jumps to catch a toy in the snow.,( ( A dog ) ( ( jumps ( to ( catch ( ( a toy ) ( in ( the snow ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ jumps) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN toy)) (PP (IN in) (NP (DT the) (NN snow)))))))) (. .))),An animal is jumping in a place that is not hot.,( ( An animal ) ( ( is ( jumping ( in ( ( a place ) ( that ( ( is not ) hot ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (NN animal)) (VP (VBZ is) (VP (VBG jumping) (PP (IN in) (NP (NP (DT a) (NN place)) (SBAR (WHNP (WDT that)) (S (VP (VBZ is) (RB not) (ADJP (JJ hot))))))))) (. .))) +1662,['entailment'],3338217927.jpg#1,entailment,3338217927.jpg#1r1e,Black dog jumping into the air to catch a toy in the snow.,( ( ( Black dog ) ( ( jumping ( into ( the air ) ) ) ( to ( catch ( ( a toy ) ( in ( the snow ) ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Black) (NN dog)) (VP (VBG jumping) (PP (IN into) (NP (DT the) (NN air))) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN toy)) (PP (IN in) (NP (DT the) (NN snow)))))))) (. .))),The dog is in the snow.,( ( The dog ) ( ( is ( in ( the snow ) ) ) . ) ),(ROOT (S (NP (DT The) (NN dog)) (VP (VBZ is) (PP (IN in) (NP (DT the) (NN snow)))) (. .))) +1663,['contradiction'],3338217927.jpg#1,contradiction,3338217927.jpg#1r1c,Black dog jumping into the air to catch a toy in the snow.,( ( ( Black dog ) ( ( jumping ( into ( the air ) ) ) ( to ( catch ( ( a toy ) ( in ( the snow ) ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Black) (NN dog)) (VP (VBG jumping) (PP (IN into) (NP (DT the) (NN air))) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN toy)) (PP (IN in) (NP (DT the) (NN snow)))))))) (. .))),The dog is playing dead.,( ( The dog ) ( ( is ( playing dead ) ) . ) ),(ROOT (S (NP (DT The) (NN dog)) (VP (VBZ is) (VP (VBG playing) (ADJP (JJ dead)))) (. .))) +1664,['neutral'],3338217927.jpg#1,neutral,3338217927.jpg#1r1n,Black dog jumping into the air to catch a toy in the snow.,( ( ( Black dog ) ( ( jumping ( into ( the air ) ) ) ( to ( catch ( ( a toy ) ( in ( the snow ) ) ) ) ) ) ) . ),(ROOT (NP (NP (JJ Black) (NN dog)) (VP (VBG jumping) (PP (IN into) (NP (DT the) (NN air))) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN toy)) (PP (IN in) (NP (DT the) (NN snow)))))))) (. .))),The dog is jumping to catch a frisbee.,( ( The dog ) ( ( is ( jumping ( to ( catch ( a frisbee ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN dog)) (VP (VBZ is) (VP (VBG jumping) (S (VP (TO to) (VP (VB catch) (NP (DT a) (NN frisbee))))))) (. .))) +1665,['neutral'],3338217927.jpg#0,neutral,3338217927.jpg#0r1n,A black dog in snow is jumping off the ground to catch a stick.,( ( ( A ( black dog ) ) ( in snow ) ) ( ( is ( ( jumping off ) ( the ( ground ( to ( catch ( a stick ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ black) (NN dog)) (PP (IN in) (NP (NN snow)))) (VP (VBZ is) (VP (VBG jumping) (PRT (RP off)) (NP (DT the) (NN ground) (S (VP (TO to) (VP (VB catch) (NP (DT a) (NN stick)))))))) (. .))),A dog is about to catch a stick in his mouth.,( ( A dog ) ( ( is ( about ( to ( catch ( ( a stick ) ( in ( his mouth ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (IN about) (S (VP (TO to) (VP (VB catch) (NP (NP (DT a) (NN stick)) (PP (IN in) (NP (PRP$ his) (NN mouth))))))))) (. .))) +1666,['entailment'],3338217927.jpg#0,entailment,3338217927.jpg#0r1e,A black dog in snow is jumping off the ground to catch a stick.,( ( ( A ( black dog ) ) ( in snow ) ) ( ( is ( ( jumping off ) ( the ( ground ( to ( catch ( a stick ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ black) (NN dog)) (PP (IN in) (NP (NN snow)))) (VP (VBZ is) (VP (VBG jumping) (PRT (RP off)) (NP (DT the) (NN ground) (S (VP (TO to) (VP (VB catch) (NP (DT a) (NN stick)))))))) (. .))),A dog is catching a stick.,( ( A dog ) ( ( is ( catching ( a stick ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG catching) (NP (DT a) (NN stick)))) (. .))) +1667,['contradiction'],3338217927.jpg#0,contradiction,3338217927.jpg#0r1c,A black dog in snow is jumping off the ground to catch a stick.,( ( ( A ( black dog ) ) ( in snow ) ) ( ( is ( ( jumping off ) ( the ( ground ( to ( catch ( a stick ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ black) (NN dog)) (PP (IN in) (NP (NN snow)))) (VP (VBZ is) (VP (VBG jumping) (PRT (RP off)) (NP (DT the) (NN ground) (S (VP (TO to) (VP (VB catch) (NP (DT a) (NN stick)))))))) (. .))),A cat is playing fetch.,( ( A cat ) ( ( is ( playing fetch ) ) . ) ),(ROOT (S (NP (DT A) (NN cat)) (VP (VBZ is) (VP (VBG playing) (S (VP (VB fetch))))) (. .))) +1668,['entailment'],111285749.jpg#1,entailment,111285749.jpg#1r4e,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),People are paying attention to the person hanging pictures,( People ( are ( ( paying attention ) ( to ( ( the person ) ( hanging pictures ) ) ) ) ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG paying) (NP (NN attention)) (PP (TO to) (NP (NP (DT the) (NN person)) (VP (VBG hanging) (NP (NNS pictures))))))))) +1669,['neutral'],111285749.jpg#1,neutral,111285749.jpg#1r4n,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),The women are pretty,( ( The women ) ( are pretty ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP are) (ADJP (JJ pretty))))) +1670,['entailment'],111285749.jpg#1,entailment,111285749.jpg#1r3e,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),There are people watching another person hang up pictures.,( There ( ( are ( people ( watching ( ( another person ) ( ( hang up ) pictures ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (VP (VBG watching) (S (NP (DT another) (NN person)) (VP (VB hang) (PRT (RP up)) (NP (NNS pictures))))))) (. .))) +1671,['contradiction'],111285749.jpg#1,contradiction,111285749.jpg#1r4c,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),The people are in the ocean,( ( The people ) ( are ( in ( the ocean ) ) ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (PP (IN in) (NP (DT the) (NN ocean)))))) +1672,['neutral'],111285749.jpg#1,neutral,111285749.jpg#1r1n,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),A man is hanging paintings of women for an art gallery in a museum.,( ( A man ) ( ( is ( hanging ( paintings ( of ( women ( for ( ( an ( art gallery ) ) ( in ( a museum ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG hanging) (NP (NP (NNS paintings)) (PP (IN of) (NP (NP (NNS women)) (PP (IN for) (NP (NP (DT an) (NN art) (NN gallery)) (PP (IN in) (NP (DT a) (NN museum)))))))))) (. .))) +1673,['entailment'],111285749.jpg#1,entailment,111285749.jpg#1r5e,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),the person is hanging pictures.,( ( the person ) ( ( is ( hanging pictures ) ) . ) ),(ROOT (S (NP (DT the) (NN person)) (VP (VBZ is) (VP (VBG hanging) (NP (NNS pictures)))) (. .))) +1674,['neutral'],111285749.jpg#1,neutral,111285749.jpg#1r5n,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),The person is a woman.,( ( The person ) ( ( is ( a woman ) ) . ) ),(ROOT (S (NP (DT The) (NN person)) (VP (VBZ is) (NP (DT a) (NN woman))) (. .))) +1675,['contradiction'],111285749.jpg#1,contradiction,111285749.jpg#1r3c,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),No one is hanging up pictures at all.,( ( No one ) ( ( is ( ( hanging up ) ( pictures ( at all ) ) ) ) . ) ),(ROOT (S (NP (DT No) (NN one)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (ADVP (IN at) (DT all))))) (. .))) +1676,['entailment'],111285749.jpg#1,entailment,111285749.jpg#1r1e,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),Somebody is hanging up pictures while people watch.,( Somebody ( ( is ( ( ( hanging up ) pictures ) ( while ( people watch ) ) ) ) . ) ),(ROOT (S (NP (NN Somebody)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NNS pictures)) (SBAR (IN while) (S (NP (NNS people)) (VP (VBP watch)))))) (. .))) +1677,['neutral'],111285749.jpg#1,neutral,111285749.jpg#1r3n,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),There's a person drawing a crowd by hanging up nude photos of ladies.,( There ( ( 's ( ( a person ) ( ( drawing ( a crowd ) ) ( by ( ( hanging up ) ( ( nude photos ) ( of ladies ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ 's) (NP (NP (DT a) (NN person)) (VP (VBG drawing) (NP (DT a) (NN crowd)) (PP (IN by) (S (VP (VBG hanging) (PRT (RP up)) (NP (NP (JJ nude) (NNS photos)) (PP (IN of) (NP (NNS ladies)))))))))) (. .))) +1678,['entailment'],111285749.jpg#1,entailment,111285749.jpg#1r2e,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),The people are outdoors.,( ( The people ) ( ( are outdoors ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (ADVP (RB outdoors))) (. .))) +1679,['neutral'],111285749.jpg#1,neutral,111285749.jpg#1r2n,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),The person is a photographer selling his pictures.,( ( The person ) ( ( is ( ( a photographer ) ( selling ( his pictures ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN person)) (VP (VBZ is) (NP (NP (DT a) (NN photographer)) (VP (VBG selling) (NP (PRP$ his) (NNS pictures))))) (. .))) +1680,['contradiction'],111285749.jpg#1,contradiction,111285749.jpg#1r1c,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),A creepy guy is putting his favorite photos of the woman he's stalking up in his shrine to her.,( ( A ( creepy guy ) ) ( ( is ( putting ( ( his ( favorite photos ) ) ( of ( ( the woman ) ( he ( 's ( ( ( stalking up ) ( in ( his shrine ) ) ) ( to her ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ creepy) (NN guy)) (VP (VBZ is) (VP (VBG putting) (NP (NP (PRP$ his) (JJ favorite) (NNS photos)) (PP (IN of) (NP (NP (DT the) (NN woman)) (SBAR (S (NP (PRP he)) (VP (VBZ 's) (VP (VBG stalking) (PRT (RP up)) (PP (IN in) (NP (PRP$ his) (NN shrine))) (PP (TO to) (NP (PRP her)))))))))))) (. .))) +1681,['contradiction'],111285749.jpg#1,contradiction,111285749.jpg#1r5c,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),The person is sleeping.,( ( The person ) ( ( is sleeping ) . ) ),(ROOT (S (NP (DT The) (NN person)) (VP (VBZ is) (VP (VBG sleeping))) (. .))) +1682,['contradiction'],111285749.jpg#1,contradiction,111285749.jpg#1r2c,A person is hanging up pictures of women with a few onlookers watching surrounded by bikes.,( ( A person ) ( ( is ( ( ( hanging up ) ( pictures ( of women ) ) ) ( with ( ( a ( few onlookers ) ) ( watching ( surrounded ( by bikes ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS women)))) (PP (IN with) (NP (NP (DT a) (JJ few) (NNS onlookers)) (VP (VBG watching) (S (VP (VBN surrounded) (PP (IN by) (NP (NNS bikes)))))))))) (. .))),The person is cooking in a cafeteria.,( ( The person ) ( ( is ( cooking ( in ( a cafeteria ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN person)) (VP (VBZ is) (VP (VBG cooking) (PP (IN in) (NP (DT a) (NN cafeteria))))) (. .))) +1683,['entailment'],111285749.jpg#0,entailment,111285749.jpg#0r3e,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",Men are hanging something on the wall.,( Men ( ( are ( ( hanging something ) ( on ( the wall ) ) ) ) . ) ),(ROOT (S (NP (NNP Men)) (VP (VBP are) (VP (VBG hanging) (NP (NN something)) (PP (IN on) (NP (DT the) (NN wall))))) (. .))) +1684,['neutral'],111285749.jpg#0,neutral,111285749.jpg#0r3n,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))","Five men, one standing on a chair, are hanging a picture.","( ( ( ( ( Five men ) , ) ( ( one standing ) ( on ( a chair ) ) ) ) , ) ( ( are ( hanging ( a picture ) ) ) . ) )","(ROOT (S (NP (NP (CD Five) (NNS men)) (, ,) (NP (NP (CD one) (NN standing)) (PP (IN on) (NP (DT a) (NN chair)))) (, ,)) (VP (VBP are) (VP (VBG hanging) (NP (DT a) (NN picture)))) (. .)))" +1685,['contradiction'],111285749.jpg#0,contradiction,111285749.jpg#0r4c,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",The men are walking to the nearest gentleman's club.,( ( The men ) ( ( are ( walking ( to ( ( the ( nearest ( gentleman 's ) ) ) club ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (VP (VBG walking) (PP (TO to) (NP (NP (DT the) (JJS nearest) (NN gentleman) (POS 's)) (NN club))))) (. .))) +1686,['entailment'],111285749.jpg#0,entailment,111285749.jpg#0r2e,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",A group of men are hanging a picture on a wall.,( ( ( A group ) ( of men ) ) ( ( are ( hanging ( ( a picture ) ( on ( a wall ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS men)))) (VP (VBP are) (VP (VBG hanging) (NP (NP (DT a) (NN picture)) (PP (IN on) (NP (DT a) (NN wall)))))) (. .))) +1687,['contradiction'],111285749.jpg#0,contradiction,111285749.jpg#0r2c,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",A man in a black shirt hangs a picture.,( ( ( A man ) ( in ( a ( black shirt ) ) ) ) ( ( hangs ( a picture ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ black) (NN shirt)))) (VP (VBZ hangs) (NP (DT a) (NN picture))) (. .))) +1688,['neutral'],111285749.jpg#0,neutral,111285749.jpg#0r2n,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))","A group of men, all wearing white shirts, hang a picture.","( ( ( A group ) ( of men ) ) ( , ( ( all ( wearing ( white shirts ) ) ) ( , ( ( hang ( a picture ) ) . ) ) ) ) )","(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS men)))) (, ,) (S (RB all) (VP (VBG wearing) (NP (JJ white) (NNS shirts)))) (, ,) (VP (VBP hang) (NP (DT a) (NN picture))) (. .)))" +1689,['entailment'],111285749.jpg#0,entailment,111285749.jpg#0r4e,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",There's a group of men hanging up a picture.,( There ( ( 's ( ( a group ) ( of ( men ( ( hanging up ) ( a picture ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ 's) (NP (NP (DT a) (NN group)) (PP (IN of) (NP (NP (NNS men)) (VP (VBG hanging) (PRT (RP up)) (NP (DT a) (NN picture))))))) (. .))) +1690,['contradiction'],111285749.jpg#0,contradiction,111285749.jpg#0r5c,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",Five men are helping a child to hang a picture.,( ( Five men ) ( ( are ( helping ( a ( child ( to ( hang ( a picture ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Five) (NNS men)) (VP (VBP are) (VP (VBG helping) (NP (DT a) (NN child) (S (VP (TO to) (VP (VB hang) (NP (DT a) (NN picture)))))))) (. .))) +1691,['entailment'],111285749.jpg#0,entailment,111285749.jpg#0r5e,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",A man is hanging a picture of a child.,( ( A man ) ( ( is ( hanging ( ( a picture ) ( of ( a child ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG hanging) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child)))))) (. .))) +1692,['entailment'],111285749.jpg#0,entailment,111285749.jpg#0r1e,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",A man is hanging up a picture of a child.,( ( A man ) ( ( is ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child)))))) (. .))) +1693,['neutral'],111285749.jpg#0,neutral,111285749.jpg#0r5n,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",Four men are watching a fifth as he hangs a picture of a child.,( ( Four men ) ( ( are ( ( watching ( a fifth ) ) ( as ( he ( hangs ( ( a picture ) ( of ( a child ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Four) (NNS men)) (VP (VBP are) (VP (VBG watching) (NP (DT a) (NN fifth)) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ hangs) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))))))) (. .))) +1694,['neutral'],111285749.jpg#0,neutral,111285749.jpg#0r4n,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",The men are hanging up a picture of a missing child.,( ( The men ) ( ( are ( ( hanging up ) ( ( a picture ) ( of ( a ( missing child ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (VBG missing) (NN child)))))) (. .))) +1695,['contradiction'],111285749.jpg#0,contradiction,111285749.jpg#0r3c,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",Some men are outside in a field.,( ( Some men ) ( ( ( are outside ) ( in ( a field ) ) ) . ) ),(ROOT (S (NP (DT Some) (NNS men)) (VP (VBP are) (ADVP (RB outside)) (PP (IN in) (NP (DT a) (NN field)))) (. .))) +1696,['neutral'],111285749.jpg#0,neutral,111285749.jpg#0r1n,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",A man is hanging a picture of his child surrounded by family memebers and friends.,( ( A man ) ( ( is ( hanging ( ( a picture ) ( of ( ( his child ) ( surrounded ( by ( family ( ( memebers and ) friends ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG hanging) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (NP (PRP$ his) (NN child)) (VP (VBN surrounded) (PP (IN by) (NP (NN family) (NNS memebers) (CC and) (NNS friends))))))))) (. .))) +1697,['contradiction'],111285749.jpg#0,contradiction,111285749.jpg#0r1c,"Five men, one wearing a white shirt standing on something, hanging up a picture of a child.","( ( ( ( ( ( Five men ) , ) ( one ( ( wearing ( a ( white ( shirt standing ) ) ) ) ( on something ) ) ) ) , ) ( ( hanging up ) ( ( a picture ) ( of ( a child ) ) ) ) ) . )","(ROOT (NP (NP (CD Five) (NNS men)) (, ,) (S (NP (PRP one)) (VP (VBG wearing) (NP (DT a) (JJ white) (NN shirt) (NN standing)) (PP (IN on) (NP (NN something))))) (, ,) (VP (VBG hanging) (PRT (RP up)) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (DT a) (NN child))))) (. .)))",A man is holding up a child.,( ( A man ) ( ( is ( ( holding up ) ( a child ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG holding) (PRT (RP up)) (NP (DT a) (NN child)))) (. .))) +1698,['neutral'],111285749.jpg#3,neutral,111285749.jpg#3r1n,There are four Eastern guys working on and hanging pictures of humans.,( There ( ( are ( ( four ( Eastern guys ) ) ( ( ( working on ) and ) ( hanging ( pictures ( of humans ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (CD four) (JJ Eastern) (NNS guys)) (VP (VP (VBG working) (PRT (RP on))) (CC and) (VP (VBG hanging) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS humans)))))))) (. .))),The men are hanging family photos.,( ( The men ) ( ( are ( hanging ( family photos ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (VP (VBG hanging) (NP (NN family) (NNS photos)))) (. .))) +1699,['contradiction'],111285749.jpg#3,contradiction,111285749.jpg#3r1c,There are four Eastern guys working on and hanging pictures of humans.,( There ( ( are ( ( four ( Eastern guys ) ) ( ( ( working on ) and ) ( hanging ( pictures ( of humans ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (CD four) (JJ Eastern) (NNS guys)) (VP (VP (VBG working) (PRT (RP on))) (CC and) (VP (VBG hanging) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS humans)))))))) (. .))),The women are working.,( ( The women ) ( ( are working ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP are) (VP (VBG working))) (. .))) +1700,['entailment'],111285749.jpg#3,entailment,111285749.jpg#3r1e,There are four Eastern guys working on and hanging pictures of humans.,( There ( ( are ( ( four ( Eastern guys ) ) ( ( ( working on ) and ) ( hanging ( pictures ( of humans ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (CD four) (JJ Eastern) (NNS guys)) (VP (VP (VBG working) (PRT (RP on))) (CC and) (VP (VBG hanging) (NP (NP (NNS pictures)) (PP (IN of) (NP (NNS humans)))))))) (. .))),The men are working.,( ( The men ) ( ( are working ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP are) (VP (VBG working))) (. .))) +1701,['neutral'],111285749.jpg#2,neutral,111285749.jpg#2r1n,A man in a white shirt hangs a painting in a run down store while other men watch.,( ( ( A man ) ( in ( a ( white shirt ) ) ) ) ( ( ( ( hangs ( ( a painting ) ( in ( a run ) ) ) ) ( down store ) ) ( while ( ( other men ) watch ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ white) (NN shirt)))) (VP (VBZ hangs) (NP (NP (DT a) (NN painting)) (PP (IN in) (NP (DT a) (NN run)))) (PP (IN down) (NP (NN store))) (SBAR (IN while) (S (NP (JJ other) (NNS men)) (VP (VBP watch))))) (. .))),An artist is showing his painting to others.,( ( An artist ) ( ( is ( ( showing ( his painting ) ) ( to others ) ) ) . ) ),(ROOT (S (NP (DT An) (NN artist)) (VP (VBZ is) (VP (VBG showing) (NP (PRP$ his) (NN painting)) (PP (TO to) (NP (NNS others))))) (. .))) +1702,['entailment'],111285749.jpg#2,entailment,111285749.jpg#2r1e,A man in a white shirt hangs a painting in a run down store while other men watch.,( ( ( A man ) ( in ( a ( white shirt ) ) ) ) ( ( ( ( hangs ( ( a painting ) ( in ( a run ) ) ) ) ( down store ) ) ( while ( ( other men ) watch ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ white) (NN shirt)))) (VP (VBZ hangs) (NP (NP (DT a) (NN painting)) (PP (IN in) (NP (DT a) (NN run)))) (PP (IN down) (NP (NN store))) (SBAR (IN while) (S (NP (JJ other) (NNS men)) (VP (VBP watch))))) (. .))),Men are indoors.,( Men ( ( are indoors ) . ) ),(ROOT (S (NP (NNP Men)) (VP (VBP are) (ADVP (RB indoors))) (. .))) +1703,['contradiction'],111285749.jpg#2,contradiction,111285749.jpg#2r1c,A man in a white shirt hangs a painting in a run down store while other men watch.,( ( ( A man ) ( in ( a ( white shirt ) ) ) ) ( ( ( ( hangs ( ( a painting ) ( in ( a run ) ) ) ) ( down store ) ) ( while ( ( other men ) watch ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (DT a) (JJ white) (NN shirt)))) (VP (VBZ hangs) (NP (NP (DT a) (NN painting)) (PP (IN in) (NP (DT a) (NN run)))) (PP (IN down) (NP (NN store))) (SBAR (IN while) (S (NP (JJ other) (NNS men)) (VP (VBP watch))))) (. .))),Men are at a football game.,( Men ( ( are ( at ( a ( football game ) ) ) ) . ) ),(ROOT (S (NP (NNP Men)) (VP (VBP are) (PP (IN at) (NP (DT a) (NN football) (NN game)))) (. .))) +1704,['contradiction'],4980003913.jpg#3,contradiction,4980003913.jpg#3r1c,"Men are playing soccer, the one in front is about to kick the ball.","( ( Men ( are ( playing soccer ) ) ) ( , ( ( ( the one ) ( in front ) ) ( ( is ( about ( to ( kick ( the ball ) ) ) ) ) . ) ) ) )","(ROOT (S (S (NP (NNP Men)) (VP (VBP are) (VP (VBG playing) (NP (NN soccer))))) (, ,) (NP (NP (DT the) (NN one)) (PP (IN in) (NP (NN front)))) (VP (VBZ is) (VP (IN about) (S (VP (TO to) (VP (VB kick) (NP (DT the) (NN ball))))))) (. .)))",The guys are standing on a dock.,( ( The guys ) ( ( are ( standing ( on ( a dock ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS guys)) (VP (VBP are) (VP (VBG standing) (PP (IN on) (NP (DT a) (NN dock))))) (. .))) +1705,['entailment'],4980003913.jpg#3,entailment,4980003913.jpg#3r1e,"Men are playing soccer, the one in front is about to kick the ball.","( ( Men ( are ( playing soccer ) ) ) ( , ( ( ( the one ) ( in front ) ) ( ( is ( about ( to ( kick ( the ball ) ) ) ) ) . ) ) ) )","(ROOT (S (S (NP (NNP Men)) (VP (VBP are) (VP (VBG playing) (NP (NN soccer))))) (, ,) (NP (NP (DT the) (NN one)) (PP (IN in) (NP (NN front)))) (VP (VBZ is) (VP (IN about) (S (VP (TO to) (VP (VB kick) (NP (DT the) (NN ball))))))) (. .)))",The guys are playing a game.,( ( The guys ) ( ( are ( playing ( a game ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS guys)) (VP (VBP are) (VP (VBG playing) (NP (DT a) (NN game)))) (. .))) +1706,['neutral'],4980003913.jpg#3,neutral,4980003913.jpg#3r1n,"Men are playing soccer, the one in front is about to kick the ball.","( ( Men ( are ( playing soccer ) ) ) ( , ( ( ( the one ) ( in front ) ) ( ( is ( about ( to ( kick ( the ball ) ) ) ) ) . ) ) ) )","(ROOT (S (S (NP (NNP Men)) (VP (VBP are) (VP (VBG playing) (NP (NN soccer))))) (, ,) (NP (NP (DT the) (NN one)) (PP (IN in) (NP (NN front)))) (VP (VBZ is) (VP (IN about) (S (VP (TO to) (VP (VB kick) (NP (DT the) (NN ball))))))) (. .)))",The man kicks the ball towards the goal.,( ( The man ) ( ( kicks ( ( the ball ) ( towards ( the goal ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ kicks) (NP (NP (DT the) (NN ball)) (PP (IN towards) (NP (DT the) (NN goal))))) (. .))) +1707,['contradiction'],111285749.jpg#4,contradiction,111285749.jpg#4r5c,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),The man is taking down the poster.,( ( The man ) ( ( is ( ( taking down ) ( the poster ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG taking) (PRT (RP down)) (NP (DT the) (NN poster)))) (. .))) +1708,['contradiction'],111285749.jpg#4,contradiction,111285749.jpg#4r4c,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),A man is cleaning a bathroom in a shop.,( ( A man ) ( ( is ( cleaning ( ( a bathroom ) ( in ( a shop ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG cleaning) (NP (NP (DT a) (NN bathroom)) (PP (IN in) (NP (DT a) (NN shop)))))) (. .))) +1709,['neutral'],111285749.jpg#4,neutral,111285749.jpg#4r5n,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),The shop did not agree to let the man put up the poster.,( ( The shop ) ( ( ( did not ) ( agree ( to ( let ( ( the man ) ( ( put up ) ( the poster ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN shop)) (VP (VBD did) (RB not) (VP (VB agree) (S (VP (TO to) (VP (VB let) (S (NP (DT the) (NN man)) (VP (VB put) (PRT (RP up)) (NP (DT the) (NN poster))))))))) (. .))) +1710,['neutral'],111285749.jpg#4,neutral,111285749.jpg#4r2n,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),The man owns the shop.,( ( The man ) ( ( owns ( the shop ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ owns) (NP (DT the) (NN shop))) (. .))) +1711,['neutral'],111285749.jpg#4,neutral,111285749.jpg#4r1n,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),A man is putting up a sale sign in front of a shop.,( ( A man ) ( ( is ( ( ( putting up ) ( a ( sale sign ) ) ) ( in ( front ( of ( a shop ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (DT a) (NN sale) (NN sign)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop))))))) (. .))) +1712,['contradiction'],111285749.jpg#4,contradiction,111285749.jpg#4r1c,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),The man is waiting for a bus.,( ( The man ) ( ( is ( waiting ( for ( a bus ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG waiting) (PP (IN for) (NP (DT a) (NN bus))))) (. .))) +1713,['neutral'],111285749.jpg#4,neutral,111285749.jpg#4r3n,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),A man hangs a poster of Iron Man in front of a shop.,( ( A man ) ( ( hangs ( ( a poster ) ( of ( ( Iron Man ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ hangs) (NP (NP (DT a) (NN poster)) (PP (IN of) (NP (NP (NNP Iron) (NNP Man)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop))))))))) (. .))) +1714,['contradiction'],111285749.jpg#4,contradiction,111285749.jpg#4r3c,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),A woman walks into a comic book shop.,( ( A woman ) ( ( walks ( into ( a ( comic ( book shop ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ walks) (PP (IN into) (NP (DT a) (JJ comic) (NN book) (NN shop)))) (. .))) +1715,['entailment'],111285749.jpg#4,entailment,111285749.jpg#4r4e,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),A man is decorating a shop.,( ( A man ) ( ( is ( decorating ( a shop ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG decorating) (NP (DT a) (NN shop)))) (. .))) +1716,['entailment'],111285749.jpg#4,entailment,111285749.jpg#4r2e,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),The man is putting up a poster.,( ( The man ) ( ( is ( ( putting up ) ( a poster ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (DT a) (NN poster)))) (. .))) +1717,['contradiction'],111285749.jpg#4,contradiction,111285749.jpg#4r2c,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),The man is indoors.,( ( The man ) ( ( is indoors ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (ADVP (RB indoors))) (. .))) +1718,['neutral'],111285749.jpg#4,neutral,111285749.jpg#4r4n,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),A man is putting a movie poster up for the next big action movie.,( ( A man ) ( ( is ( ( ( putting ( a ( movie poster ) ) ) up ) ( for ( the ( next ( big ( action movie ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (NP (DT a) (NN movie) (NN poster)) (PRT (RP up)) (PP (IN for) (NP (DT the) (JJ next) (JJ big) (NN action) (NN movie))))) (. .))) +1719,['entailment'],111285749.jpg#4,entailment,111285749.jpg#4r3e,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),A man hangs a poster in front of a shop.,( ( A man ) ( ( hangs ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ hangs) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop))))))) (. .))) +1720,['entailment'],111285749.jpg#4,entailment,111285749.jpg#4r5e,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),There is a man in front of the shop.,( There ( ( is ( ( a man ) ( in ( front ( of ( the shop ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN man)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT the) (NN shop))))))) (. .))) +1721,['entailment'],111285749.jpg#4,entailment,111285749.jpg#4r1e,A man is putting up a poster in front of a shop.,( ( A man ) ( ( is ( ( putting up ) ( ( a poster ) ( in ( front ( of ( a shop ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG putting) (PRT (RP up)) (NP (NP (DT a) (NN poster)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop)))))))) (. .))),A man is standing in front of a shop.,( ( A man ) ( ( is ( standing ( in ( front ( of ( a shop ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG standing) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN shop))))))) (. .))) +1722,['contradiction'],4980003913.jpg#1,contradiction,4980003913.jpg#1r1c,The Arsenal football club warms-up on the soccer field as a few fans watch.,( ( ( The ( Arsenal ( football ( club warms-up ) ) ) ) ( on ( ( the ( soccer field ) ) ( as ( a ( few fans ) ) ) ) ) ) ( watch . ) ),(ROOT (S (NP (NP (DT The) (NNP Arsenal) (NN football) (NN club) (NN warms-up)) (PP (IN on) (NP (NP (DT the) (NN soccer) (NN field)) (PP (IN as) (NP (DT a) (JJ few) (NNS fans)))))) (VP (VBP watch)) (. .))),A basketball team during warm ups.,( ( ( A ( basketball team ) ) ( during ( warm ups ) ) ) . ),(ROOT (NP (NP (DT A) (NN basketball) (NN team)) (PP (IN during) (NP (JJ warm) (NNS ups))) (. .))) +1723,['neutral'],4980003913.jpg#1,neutral,4980003913.jpg#1r1n,The Arsenal football club warms-up on the soccer field as a few fans watch.,( ( ( The ( Arsenal ( football ( club warms-up ) ) ) ) ( on ( ( the ( soccer field ) ) ( as ( a ( few fans ) ) ) ) ) ) ( watch . ) ),(ROOT (S (NP (NP (DT The) (NNP Arsenal) (NN football) (NN club) (NN warms-up)) (PP (IN on) (NP (NP (DT the) (NN soccer) (NN field)) (PP (IN as) (NP (DT a) (JJ few) (NNS fans)))))) (VP (VBP watch)) (. .))),A soccer teaming getting ready for a game.,( ( ( A soccer ) ( teaming ( ( getting ready ) ( for ( a game ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer)) (VP (VBG teaming) (S (VP (VBG getting) (ADJP (JJ ready)) (PP (IN for) (NP (DT a) (NN game)))))) (. .))) +1724,['entailment'],4980003913.jpg#1,entailment,4980003913.jpg#1r1e,The Arsenal football club warms-up on the soccer field as a few fans watch.,( ( ( The ( Arsenal ( football ( club warms-up ) ) ) ) ( on ( ( the ( soccer field ) ) ( as ( a ( few fans ) ) ) ) ) ) ( watch . ) ),(ROOT (S (NP (NP (DT The) (NNP Arsenal) (NN football) (NN club) (NN warms-up)) (PP (IN on) (NP (NP (DT the) (NN soccer) (NN field)) (PP (IN as) (NP (DT a) (JJ few) (NNS fans)))))) (VP (VBP watch)) (. .))),A football/soccer club during warm ups.,( ( ( A ( football/soccer club ) ) ( during ( warm ups ) ) ) . ),(ROOT (NP (NP (DT A) (NN football/soccer) (NN club)) (PP (IN during) (NP (JJ warm) (NNS ups))) (. .))) +1725,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",4980003913.jpg#0,contradiction,4980003913.jpg#0r1c,Soccer players warm up by kicking the soccer ball around while the crowd waits.,( ( Soccer players ) ( ( ( warm up ) ( by ( ( ( kicking ( the ( soccer ball ) ) ) around ) ( while ( ( the crowd ) waits ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Soccer) (NNS players)) (VP (VB warm) (PRT (RP up)) (PP (IN by) (S (VP (VBG kicking) (NP (DT the) (NN soccer) (NN ball)) (ADVP (RB around)) (SBAR (IN while) (S (NP (DT the) (NN crowd)) (VP (VBZ waits)))))))) (. .))),The players were on a bus which broke down on the highway,( ( The players ) ( were ( on ( ( a bus ) ( which ( ( broke down ) ( on ( the highway ) ) ) ) ) ) ) ),(ROOT (S (NP (DT The) (NNS players)) (VP (VBD were) (PP (IN on) (NP (NP (DT a) (NN bus)) (SBAR (WHNP (WDT which)) (S (VP (VBD broke) (PRT (RP down)) (PP (IN on) (NP (DT the) (NN highway))))))))))) +1726,['entailment'],4980003913.jpg#0,entailment,4980003913.jpg#0r1e,Soccer players warm up by kicking the soccer ball around while the crowd waits.,( ( Soccer players ) ( ( ( warm up ) ( by ( ( ( kicking ( the ( soccer ball ) ) ) around ) ( while ( ( the crowd ) waits ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Soccer) (NNS players)) (VP (VB warm) (PRT (RP up)) (PP (IN by) (S (VP (VBG kicking) (NP (DT the) (NN soccer) (NN ball)) (ADVP (RB around)) (SBAR (IN while) (S (NP (DT the) (NN crowd)) (VP (VBZ waits)))))))) (. .))),The crowd looked on while the players prepared themselves.,( ( The crowd ) ( ( ( looked on ) ( while ( ( the players ) ( prepared themselves ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN crowd)) (VP (VBD looked) (PRT (RP on)) (SBAR (IN while) (S (NP (DT the) (NNS players)) (VP (VBD prepared) (NP (PRP themselves)))))) (. .))) +1727,['neutral'],4980003913.jpg#0,neutral,4980003913.jpg#0r1n,Soccer players warm up by kicking the soccer ball around while the crowd waits.,( ( Soccer players ) ( ( ( warm up ) ( by ( ( ( kicking ( the ( soccer ball ) ) ) around ) ( while ( ( the crowd ) waits ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Soccer) (NNS players)) (VP (VB warm) (PRT (RP up)) (PP (IN by) (S (VP (VBG kicking) (NP (DT the) (NN soccer) (NN ball)) (ADVP (RB around)) (SBAR (IN while) (S (NP (DT the) (NN crowd)) (VP (VBZ waits)))))))) (. .))),The crowd watched the players warm up and shouted encouragement,( ( The crowd ) ( ( ( watched ( ( the players ) ( warm up ) ) ) and ) ( shouted encouragement ) ) ),(ROOT (S (NP (DT The) (NN crowd)) (VP (VP (VBD watched) (S (NP (DT the) (NNS players)) (VP (VB warm) (PRT (RP up))))) (CC and) (VP (VBD shouted) (NP (NN encouragement)))))) +1728,['neutral'],283745783.jpg#4,neutral,283745783.jpg#4r1n,People sit and relax next to a pool in a plaza.,( People ( ( ( ( sit and ) relax ) ( next ( to ( ( a pool ) ( in ( a plaza ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP sit) (CC and) (VBP relax) (PP (ADVP (JJ next)) (TO to) (NP (NP (DT a) (NN pool)) (PP (IN in) (NP (DT a) (NN plaza)))))) (. .))),"The pool is in a hotel, and these are guests.","( ( ( ( ( ( The pool ) ( is ( in ( a hotel ) ) ) ) , ) and ) ( these ( are guests ) ) ) . )","(ROOT (S (S (NP (DT The) (NN pool)) (VP (VBZ is) (PP (IN in) (NP (DT a) (NN hotel))))) (, ,) (CC and) (S (NP (DT these)) (VP (VBP are) (NP (NNS guests)))) (. .)))" +1729,['contradiction'],283745783.jpg#4,contradiction,283745783.jpg#4r1c,People sit and relax next to a pool in a plaza.,( People ( ( ( ( sit and ) relax ) ( next ( to ( ( a pool ) ( in ( a plaza ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP sit) (CC and) (VBP relax) (PP (ADVP (JJ next)) (TO to) (NP (NP (DT a) (NN pool)) (PP (IN in) (NP (DT a) (NN plaza)))))) (. .))),"This is the pool of Queen Elizabeth II, and these people are Hessians from the Revolutionary War.","( ( ( ( ( This ( is ( ( the pool ) ( of ( Queen ( Elizabeth II ) ) ) ) ) ) , ) and ) ( ( these people ) ( are ( Hessians ( from ( the ( Revolutionary War ) ) ) ) ) ) ) . )","(ROOT (S (S (NP (DT This)) (VP (VBZ is) (NP (NP (DT the) (NN pool)) (PP (IN of) (NP (NNP Queen) (NNP Elizabeth) (NNP II)))))) (, ,) (CC and) (S (NP (DT these) (NNS people)) (VP (VBP are) (NP (NP (NNP Hessians)) (PP (IN from) (NP (DT the) (NNP Revolutionary) (NNP War)))))) (. .)))" +1730,['entailment'],283745783.jpg#4,entailment,283745783.jpg#4r1e,People sit and relax next to a pool in a plaza.,( People ( ( ( ( sit and ) relax ) ( next ( to ( ( a pool ) ( in ( a plaza ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP sit) (CC and) (VBP relax) (PP (ADVP (JJ next)) (TO to) (NP (NP (DT a) (NN pool)) (PP (IN in) (NP (DT a) (NN plaza)))))) (. .))),People lounge about a pool.,( People ( ( lounge ( about ( a pool ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBD lounge) (PP (IN about) (NP (DT a) (NN pool)))) (. .))) +1731,['neutral'],24815360.jpg#1,neutral,24815360.jpg#1r1n,"In a bowling alley, a man holding a green bowling ball looks ahead at the pins that he must knock down.","( ( In ( a ( bowling alley ) ) ) ( , ( ( ( a man ) ( holding ( a ( green ( bowling ball ) ) ) ) ) ( ( ( looks ( ahead ( at ( the pins ) ) ) ) ( that ( he ( must ( knock down ) ) ) ) ) . ) ) ) )","(ROOT (S (PP (IN In) (NP (DT a) (NN bowling) (NN alley))) (, ,) (NP (NP (DT a) (NN man)) (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)))) (VP (VBZ looks) (ADVP (RB ahead) (PP (IN at) (NP (DT the) (NNS pins)))) (SBAR (IN that) (S (NP (PRP he)) (VP (MD must) (VP (VB knock) (PRT (RP down))))))) (. .)))",The man is playing in an professional bowling competition.,( ( The man ) ( ( is ( playing ( in ( an ( professional ( bowling competition ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG playing) (PP (IN in) (NP (DT an) (JJ professional) (NN bowling) (NN competition))))) (. .))) +1732,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",24815360.jpg#1,entailment,24815360.jpg#1r1e,"In a bowling alley, a man holding a green bowling ball looks ahead at the pins that he must knock down.","( ( In ( a ( bowling alley ) ) ) ( , ( ( ( a man ) ( holding ( a ( green ( bowling ball ) ) ) ) ) ( ( ( looks ( ahead ( at ( the pins ) ) ) ) ( that ( he ( must ( knock down ) ) ) ) ) . ) ) ) )","(ROOT (S (PP (IN In) (NP (DT a) (NN bowling) (NN alley))) (, ,) (NP (NP (DT a) (NN man)) (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)))) (VP (VBZ looks) (ADVP (RB ahead) (PP (IN at) (NP (DT the) (NNS pins)))) (SBAR (IN that) (S (NP (PRP he)) (VP (MD must) (VP (VB knock) (PRT (RP down))))))) (. .)))",A man is bowling.,( ( A man ) ( ( is bowling ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG bowling))) (. .))) +1733,['contradiction'],24815360.jpg#1,contradiction,24815360.jpg#1r1c,"In a bowling alley, a man holding a green bowling ball looks ahead at the pins that he must knock down.","( ( In ( a ( bowling alley ) ) ) ( , ( ( ( a man ) ( holding ( a ( green ( bowling ball ) ) ) ) ) ( ( ( looks ( ahead ( at ( the pins ) ) ) ) ( that ( he ( must ( knock down ) ) ) ) ) . ) ) ) )","(ROOT (S (PP (IN In) (NP (DT a) (NN bowling) (NN alley))) (, ,) (NP (NP (DT a) (NN man)) (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)))) (VP (VBZ looks) (ADVP (RB ahead) (PP (IN at) (NP (DT the) (NNS pins)))) (SBAR (IN that) (S (NP (PRP he)) (VP (MD must) (VP (VB knock) (PRT (RP down))))))) (. .)))",The man is bowling with a frozen turkey.,( ( The man ) ( ( is ( bowling ( with ( a ( frozen turkey ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG bowling) (PP (IN with) (NP (DT a) (JJ frozen) (NN turkey))))) (. .))) +1734,['entailment'],24815360.jpg#0,entailment,24815360.jpg#0r1e,A man wearing blue jeans and red bowling shoes stands in a bowling alley lane with a green ball in his hand.,( ( ( ( ( A man ) ( wearing ( blue jeans ) ) ) and ) ( red ( bowling shoes ) ) ) ( ( stands ( in ( ( a ( bowling ( alley lane ) ) ) ( with ( ( a ( green ball ) ) ( in ( his hand ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (JJ blue) (NNS jeans)))) (CC and) (NP (JJ red) (VBG bowling) (NNS shoes))) (VP (VBZ stands) (PP (IN in) (NP (NP (DT a) (VBG bowling) (NN alley) (NN lane)) (PP (IN with) (NP (NP (DT a) (JJ green) (NN ball)) (PP (IN in) (NP (PRP$ his) (NN hand)))))))) (. .))),A man stands in a bowling alley lane.,( ( A man ) ( ( stands ( in ( a ( bowling ( alley lane ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ stands) (PP (IN in) (NP (DT a) (VBG bowling) (NN alley) (NN lane)))) (. .))) +1735,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",24815360.jpg#0,neutral,24815360.jpg#0r1n,A man wearing blue jeans and red bowling shoes stands in a bowling alley lane with a green ball in his hand.,( ( ( ( ( A man ) ( wearing ( blue jeans ) ) ) and ) ( red ( bowling shoes ) ) ) ( ( stands ( in ( ( a ( bowling ( alley lane ) ) ) ( with ( ( a ( green ball ) ) ( in ( his hand ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (JJ blue) (NNS jeans)))) (CC and) (NP (JJ red) (VBG bowling) (NNS shoes))) (VP (VBZ stands) (PP (IN in) (NP (NP (DT a) (VBG bowling) (NN alley) (NN lane)) (PP (IN with) (NP (NP (DT a) (JJ green) (NN ball)) (PP (IN in) (NP (PRP$ his) (NN hand)))))))) (. .))),The man is bowling with his bowling group tonight.,( ( The man ) ( ( is ( ( bowling ( with ( his ( bowling group ) ) ) ) tonight ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG bowling) (PP (IN with) (NP (PRP$ his) (NN bowling) (NN group))) (NP (NN tonight)))) (. .))) +1736,['contradiction'],24815360.jpg#0,contradiction,24815360.jpg#0r1c,A man wearing blue jeans and red bowling shoes stands in a bowling alley lane with a green ball in his hand.,( ( ( ( ( A man ) ( wearing ( blue jeans ) ) ) and ) ( red ( bowling shoes ) ) ) ( ( stands ( in ( ( a ( bowling ( alley lane ) ) ) ( with ( ( a ( green ball ) ) ( in ( his hand ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (JJ blue) (NNS jeans)))) (CC and) (NP (JJ red) (VBG bowling) (NNS shoes))) (VP (VBZ stands) (PP (IN in) (NP (NP (DT a) (VBG bowling) (NN alley) (NN lane)) (PP (IN with) (NP (NP (DT a) (JJ green) (NN ball)) (PP (IN in) (NP (PRP$ his) (NN hand)))))))) (. .))),A man sits in an airport.,( ( A man ) ( ( sits ( in ( an airport ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ sits) (PP (IN in) (NP (DT an) (NN airport)))) (. .))) +1737,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",24815360.jpg#3,contradiction,24815360.jpg#3r1c,"A guy stands with a green bowling ball in his hand, and looks down the bowling lane.","( ( A guy ) ( ( ( ( ( stands ( with ( ( a ( green ( bowling ball ) ) ) ( in ( his hand ) ) ) ) ) , ) and ) ( ( looks down ) ( the ( bowling lane ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN guy)) (VP (VP (VBZ stands) (PP (IN with) (NP (NP (DT a) (JJ green) (NN bowling) (NN ball)) (PP (IN in) (NP (PRP$ his) (NN hand)))))) (, ,) (CC and) (VP (VBZ looks) (PRT (RP down)) (NP (DT the) (NN bowling) (NN lane)))) (. .)))",Some man play football.,( ( Some man ) ( ( play football ) . ) ),(ROOT (S (NP (DT Some) (NN man)) (VP (VBP play) (NP (NN football))) (. .))) +1738,['entailment'],24815360.jpg#3,entailment,24815360.jpg#3r1e,"A guy stands with a green bowling ball in his hand, and looks down the bowling lane.","( ( A guy ) ( ( ( ( ( stands ( with ( ( a ( green ( bowling ball ) ) ) ( in ( his hand ) ) ) ) ) , ) and ) ( ( looks down ) ( the ( bowling lane ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN guy)) (VP (VP (VBZ stands) (PP (IN with) (NP (NP (DT a) (JJ green) (NN bowling) (NN ball)) (PP (IN in) (NP (PRP$ his) (NN hand)))))) (, ,) (CC and) (VP (VBZ looks) (PRT (RP down)) (NP (DT the) (NN bowling) (NN lane)))) (. .)))",A man plays bowling.,( ( A man ) ( ( plays bowling ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ plays) (NP (NN bowling))) (. .))) +1739,['neutral'],24815360.jpg#3,neutral,24815360.jpg#3r1n,"A guy stands with a green bowling ball in his hand, and looks down the bowling lane.","( ( A guy ) ( ( ( ( ( stands ( with ( ( a ( green ( bowling ball ) ) ) ( in ( his hand ) ) ) ) ) , ) and ) ( ( looks down ) ( the ( bowling lane ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN guy)) (VP (VP (VBZ stands) (PP (IN with) (NP (NP (DT a) (JJ green) (NN bowling) (NN ball)) (PP (IN in) (NP (PRP$ his) (NN hand)))))) (, ,) (CC and) (VP (VBZ looks) (PRT (RP down)) (NP (DT the) (NN bowling) (NN lane)))) (. .)))",A man is throwing a green ball.,( ( A man ) ( ( is ( throwing ( a ( green ball ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG throwing) (NP (DT a) (JJ green) (NN ball)))) (. .))) +1740,['neutral'],24815360.jpg#2,neutral,24815360.jpg#2r1n,A man holding a green bowling ball stands by the ball return machine in a bowling alley.,( ( ( A man ) ( holding ( a ( green ( bowling ball ) ) ) ) ) ( ( stands ( by ( ( the ( ball ( return machine ) ) ) ( in ( a ( bowling alley ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)))) (VP (VBZ stands) (PP (IN by) (NP (NP (DT the) (NN ball) (NN return) (NN machine)) (PP (IN in) (NP (DT a) (VBG bowling) (NN alley)))))) (. .))),A sad man holding a green bowling ball stands by the ball return machine in a bowling alley.,( ( ( A ( sad man ) ) ( holding ( a ( green ( bowling ball ) ) ) ) ) ( ( stands ( by ( ( the ( ball ( return machine ) ) ) ( in ( a ( bowling alley ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ sad) (NN man)) (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)))) (VP (VBZ stands) (PP (IN by) (NP (NP (DT the) (NN ball) (NN return) (NN machine)) (PP (IN in) (NP (DT a) (VBG bowling) (NN alley)))))) (. .))) +1741,['contradiction'],24815360.jpg#2,contradiction,24815360.jpg#2r1c,A man holding a green bowling ball stands by the ball return machine in a bowling alley.,( ( ( A man ) ( holding ( a ( green ( bowling ball ) ) ) ) ) ( ( stands ( by ( ( the ( ball ( return machine ) ) ) ( in ( a ( bowling alley ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)))) (VP (VBZ stands) (PP (IN by) (NP (NP (DT the) (NN ball) (NN return) (NN machine)) (PP (IN in) (NP (DT a) (VBG bowling) (NN alley)))))) (. .))),A woman holding a green bowling ball stands by the ball return machine in a bowling alley.,( ( ( A woman ) ( holding ( a ( green ( bowling ball ) ) ) ) ) ( ( stands ( by ( ( the ( ball ( return machine ) ) ) ( in ( a ( bowling alley ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)))) (VP (VBZ stands) (PP (IN by) (NP (NP (DT the) (NN ball) (NN return) (NN machine)) (PP (IN in) (NP (DT a) (VBG bowling) (NN alley)))))) (. .))) +1742,['entailment'],24815360.jpg#2,entailment,24815360.jpg#2r1e,A man holding a green bowling ball stands by the ball return machine in a bowling alley.,( ( ( A man ) ( holding ( a ( green ( bowling ball ) ) ) ) ) ( ( stands ( by ( ( the ( ball ( return machine ) ) ) ( in ( a ( bowling alley ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)))) (VP (VBZ stands) (PP (IN by) (NP (NP (DT the) (NN ball) (NN return) (NN machine)) (PP (IN in) (NP (DT a) (VBG bowling) (NN alley)))))) (. .))),A person holding a green bowling ball stands by the ball return machine in a bowling alley.,( ( ( A person ) ( holding ( a ( green ( bowling ball ) ) ) ) ) ( ( stands ( by ( ( the ( ball ( return machine ) ) ) ( in ( a ( bowling alley ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN person)) (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)))) (VP (VBZ stands) (PP (IN by) (NP (NP (DT the) (NN ball) (NN return) (NN machine)) (PP (IN in) (NP (DT a) (VBG bowling) (NN alley)))))) (. .))) +1743,['neutral'],24815360.jpg#4,neutral,24815360.jpg#4r1n,A man is standing up holding a green bowling ball with his right hand.,( ( A man ) ( ( is ( ( standing up ) ( ( holding ( a ( green ( bowling ball ) ) ) ) ( with ( his ( right hand ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG standing) (PRT (RP up)) (S (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)) (PP (IN with) (NP (PRP$ his) (JJ right) (NN hand))))))) (. .))),A man is playing with his bowling league.,( ( A man ) ( ( is ( playing ( with ( his ( bowling league ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG playing) (PP (IN with) (NP (PRP$ his) (VBG bowling) (NN league))))) (. .))) +1744,['contradiction'],24815360.jpg#4,contradiction,24815360.jpg#4r1c,A man is standing up holding a green bowling ball with his right hand.,( ( A man ) ( ( is ( ( standing up ) ( ( holding ( a ( green ( bowling ball ) ) ) ) ( with ( his ( right hand ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG standing) (PRT (RP up)) (S (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)) (PP (IN with) (NP (PRP$ his) (JJ right) (NN hand))))))) (. .))),A man is riding a horse on the beach.,( ( A man ) ( ( is ( riding ( ( a horse ) ( on ( the beach ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG riding) (NP (NP (DT a) (NN horse)) (PP (IN on) (NP (DT the) (NN beach)))))) (. .))) +1745,['entailment'],24815360.jpg#4,entailment,24815360.jpg#4r1e,A man is standing up holding a green bowling ball with his right hand.,( ( A man ) ( ( is ( ( standing up ) ( ( holding ( a ( green ( bowling ball ) ) ) ) ( with ( his ( right hand ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG standing) (PRT (RP up)) (S (VP (VBG holding) (NP (DT a) (JJ green) (NN bowling) (NN ball)) (PP (IN with) (NP (PRP$ his) (JJ right) (NN hand))))))) (. .))),A man is bowling.,( ( A man ) ( ( is bowling ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG bowling))) (. .))) +1746,['neutral'],264460711.jpg#3,neutral,264460711.jpg#3r1n,A group of people sitting at a table outside talking.,( ( ( ( A group ) ( of people ) ) ( ( sitting ( at ( a table ) ) ) ( outside talking ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table))) (PP (IN outside) (S (VP (VBG talking))))) (. .))),A group sits together outside and talk over drinks.,( ( A group ) ( ( ( ( sits ( together outside ) ) and ) ( ( talk over ) drinks ) ) . ) ),(ROOT (S (NP (DT A) (NN group)) (VP (VP (VBZ sits) (ADVP (RB together) (JJ outside))) (CC and) (VP (NN talk) (PRT (RP over)) (NP (NNS drinks)))) (. .))) +1747,['entailment'],264460711.jpg#3,entailment,264460711.jpg#3r1e,A group of people sitting at a table outside talking.,( ( ( ( A group ) ( of people ) ) ( ( sitting ( at ( a table ) ) ) ( outside talking ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table))) (PP (IN outside) (S (VP (VBG talking))))) (. .))),A group sits outside while talking.,( ( A group ) ( ( sits ( ( outside while ) talking ) ) . ) ),(ROOT (S (NP (DT A) (NN group)) (VP (VBZ sits) (NP (NP (JJ outside) (NN while)) (VP (VBG talking)))) (. .))) +1748,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",264460711.jpg#3,contradiction,264460711.jpg#3r1c,A group of people sitting at a table outside talking.,( ( ( ( A group ) ( of people ) ) ( ( sitting ( at ( a table ) ) ) ( outside talking ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG sitting) (PP (IN at) (NP (DT a) (NN table))) (PP (IN outside) (S (VP (VBG talking))))) (. .))),A man stands at the bar ordering drinks for his friends.,( ( A man ) ( ( stands ( at ( ( the bar ) ( ordering ( drinks ( for ( his friends ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ stands) (PP (IN at) (NP (NP (DT the) (NN bar)) (VP (VBG ordering) (NP (NP (NNS drinks)) (PP (IN for) (NP (PRP$ his) (NNS friends)))))))) (. .))) +1749,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",264460711.jpg#0,entailment,264460711.jpg#0r1e,A group of men and women are having a discussion in a restaurant.,( ( ( A group ) ( of ( ( men and ) women ) ) ) ( ( are ( having ( ( a discussion ) ( in ( a restaurant ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS men) (CC and) (NNS women)))) (VP (VBP are) (VP (VBG having) (NP (NP (DT a) (NN discussion)) (PP (IN in) (NP (DT a) (NN restaurant)))))) (. .))),a group of men and women converse,( ( ( a group ) ( of ( ( men and ) women ) ) ) converse ),(ROOT (S (NP (NP (DT a) (NN group)) (PP (IN of) (NP (NNS men) (CC and) (NNS women)))) (ADJP (JJ converse)))) +1750,['contradiction'],264460711.jpg#0,contradiction,264460711.jpg#0r1c,A group of men and women are having a discussion in a restaurant.,( ( ( A group ) ( of ( ( men and ) women ) ) ) ( ( are ( having ( ( a discussion ) ( in ( a restaurant ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS men) (CC and) (NNS women)))) (VP (VBP are) (VP (VBG having) (NP (NP (DT a) (NN discussion)) (PP (IN in) (NP (DT a) (NN restaurant)))))) (. .))),a crowd has a discussion in a hospital,( ( a crowd ) ( has ( ( a discussion ) ( in ( a hospital ) ) ) ) ),(ROOT (S (NP (DT a) (NN crowd)) (VP (VBZ has) (NP (NP (DT a) (NN discussion)) (PP (IN in) (NP (DT a) (NN hospital))))))) +1751,['neutral'],264460711.jpg#0,neutral,264460711.jpg#0r1n,A group of men and women are having a discussion in a restaurant.,( ( ( A group ) ( of ( ( men and ) women ) ) ) ( ( are ( having ( ( a discussion ) ( in ( a restaurant ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS men) (CC and) (NNS women)))) (VP (VBP are) (VP (VBG having) (NP (NP (DT a) (NN discussion)) (PP (IN in) (NP (DT a) (NN restaurant)))))) (. .))),a crowd argues,( ( a crowd ) argues ),(ROOT (S (NP (DT a) (NN crowd)) (VP (VBZ argues)))) +1752,['entailment'],264460711.jpg#1,entailment,264460711.jpg#1r1e,A group of adults is having a discussion at a table under a tent.,( ( ( A group ) ( of adults ) ) ( ( is ( ( having ( ( a discussion ) ( at ( a table ) ) ) ) ( under ( a tent ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS adults)))) (VP (VBZ is) (VP (VBG having) (NP (NP (DT a) (NN discussion)) (PP (IN at) (NP (DT a) (NN table)))) (PP (IN under) (NP (DT a) (NN tent))))) (. .))),People are having a discussion.,( People ( ( are ( having ( a discussion ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG having) (NP (DT a) (NN discussion)))) (. .))) +1753,['neutral'],264460711.jpg#1,neutral,264460711.jpg#1r1n,A group of adults is having a discussion at a table under a tent.,( ( ( A group ) ( of adults ) ) ( ( is ( ( having ( ( a discussion ) ( at ( a table ) ) ) ) ( under ( a tent ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS adults)))) (VP (VBZ is) (VP (VBG having) (NP (NP (DT a) (NN discussion)) (PP (IN at) (NP (DT a) (NN table)))) (PP (IN under) (NP (DT a) (NN tent))))) (. .))),The friends are talking.,( ( The friends ) ( ( are talking ) . ) ),(ROOT (S (NP (DT The) (NNS friends)) (VP (VBP are) (VP (VBG talking))) (. .))) +1754,['contradiction'],264460711.jpg#1,contradiction,264460711.jpg#1r1c,A group of adults is having a discussion at a table under a tent.,( ( ( A group ) ( of adults ) ) ( ( is ( ( having ( ( a discussion ) ( at ( a table ) ) ) ) ( under ( a tent ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS adults)))) (VP (VBZ is) (VP (VBG having) (NP (NP (DT a) (NN discussion)) (PP (IN at) (NP (DT a) (NN table)))) (PP (IN under) (NP (DT a) (NN tent))))) (. .))),The old dog is eating potatoes.,( ( The ( old dog ) ) ( ( is ( eating potatoes ) ) . ) ),(ROOT (S (NP (DT The) (JJ old) (NN dog)) (VP (VBZ is) (VP (VBG eating) (NP (NNS potatoes)))) (. .))) +1755,['contradiction'],264460711.jpg#4,contradiction,264460711.jpg#4r1c,A group of people sitting around a picnic table.,( ( ( ( A group ) ( of people ) ) ( sitting ( around ( a ( picnic table ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG sitting) (PP (IN around) (NP (DT a) (NN picnic) (NN table)))) (. .))),The people are standing in the gym.,( ( The people ) ( ( are ( standing ( in ( the gym ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG standing) (PP (IN in) (NP (DT the) (NN gym))))) (. .))) +1756,['neutral'],264460711.jpg#4,neutral,264460711.jpg#4r1n,A group of people sitting around a picnic table.,( ( ( ( A group ) ( of people ) ) ( sitting ( around ( a ( picnic table ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG sitting) (PP (IN around) (NP (DT a) (NN picnic) (NN table)))) (. .))),The people are playing cards.,( ( The people ) ( ( are ( playing cards ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG playing) (NP (NNS cards)))) (. .))) +1757,['entailment'],264460711.jpg#4,entailment,264460711.jpg#4r1e,A group of people sitting around a picnic table.,( ( ( ( A group ) ( of people ) ) ( sitting ( around ( a ( picnic table ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG sitting) (PP (IN around) (NP (DT a) (NN picnic) (NN table)))) (. .))),The people are near the table.,( ( The people ) ( ( are ( near ( the table ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (PP (IN near) (NP (DT the) (NN table)))) (. .))) +1758,['contradiction'],2715262147.jpg#0,contradiction,2715262147.jpg#0r1c,"A group of people gathers on the grass in a backyard with tents, tables, and chairs set up.","( ( ( A group ) ( of people ) ) ( ( gathers ( on ( ( ( the grass ) ( in ( ( a backyard ) ( with ( tents ( , ( tables ( , ( and chairs ) ) ) ) ) ) ) ) ) ( set up ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBZ gathers) (PP (IN on) (NP (NP (DT the) (NN grass)) (PP (IN in) (NP (NP (DT a) (NN backyard)) (PP (IN with) (NP (NNS tents) (, ,) (NNS tables) (, ,) (CC and) (NNS chairs))))) (VP (VBN set) (PRT (RP up)))))) (. .)))",A group of people gathering on the concrete.,( ( ( ( A group ) ( of people ) ) ( gathering ( on ( the concrete ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG gathering) (PP (IN on) (NP (DT the) (NN concrete)))) (. .))) +1759,['entailment'],2715262147.jpg#0,entailment,2715262147.jpg#0r1e,"A group of people gathers on the grass in a backyard with tents, tables, and chairs set up.","( ( ( A group ) ( of people ) ) ( ( gathers ( on ( ( ( the grass ) ( in ( ( a backyard ) ( with ( tents ( , ( tables ( , ( and chairs ) ) ) ) ) ) ) ) ) ( set up ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBZ gathers) (PP (IN on) (NP (NP (DT the) (NN grass)) (PP (IN in) (NP (NP (DT a) (NN backyard)) (PP (IN with) (NP (NNS tents) (, ,) (NNS tables) (, ,) (CC and) (NNS chairs))))) (VP (VBN set) (PRT (RP up)))))) (. .)))",A group of people gathering on the grass.,( ( ( ( A group ) ( of people ) ) ( gathering ( on ( the grass ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG gathering) (PP (IN on) (NP (DT the) (NN grass)))) (. .))) +1760,['neutral'],2715262147.jpg#0,neutral,2715262147.jpg#0r1n,"A group of people gathers on the grass in a backyard with tents, tables, and chairs set up.","( ( ( A group ) ( of people ) ) ( ( gathers ( on ( ( ( the grass ) ( in ( ( a backyard ) ( with ( tents ( , ( tables ( , ( and chairs ) ) ) ) ) ) ) ) ) ( set up ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBZ gathers) (PP (IN on) (NP (NP (DT the) (NN grass)) (PP (IN in) (NP (NP (DT a) (NN backyard)) (PP (IN with) (NP (NNS tents) (, ,) (NNS tables) (, ,) (CC and) (NNS chairs))))) (VP (VBN set) (PRT (RP up)))))) (. .)))",A group of people standing on the grass.,( ( ( ( A group ) ( of people ) ) ( standing ( on ( the grass ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG standing) (PP (IN on) (NP (DT the) (NN grass)))) (. .))) +1761,['neutral'],7035417199.jpg#4,neutral,7035417199.jpg#4r1n,One soccer team is playing against another.,( ( One ( soccer team ) ) ( ( is ( playing ( against another ) ) ) . ) ),(ROOT (S (NP (CD One) (NN soccer) (NN team)) (VP (VBZ is) (VP (VBG playing) (PP (IN against) (NP (DT another))))) (. .))),The teams are having fun.,( ( The teams ) ( ( are ( having fun ) ) . ) ),(ROOT (S (NP (DT The) (NNS teams)) (VP (VBP are) (VP (VBG having) (NP (NN fun)))) (. .))) +1762,['entailment'],7035417199.jpg#4,entailment,7035417199.jpg#4r1e,One soccer team is playing against another.,( ( One ( soccer team ) ) ( ( is ( playing ( against another ) ) ) . ) ),(ROOT (S (NP (CD One) (NN soccer) (NN team)) (VP (VBZ is) (VP (VBG playing) (PP (IN against) (NP (DT another))))) (. .))),People are playing a sport.,( People ( ( are ( playing ( a sport ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG playing) (NP (DT a) (NN sport)))) (. .))) +1763,['contradiction'],7035417199.jpg#4,contradiction,7035417199.jpg#4r1c,One soccer team is playing against another.,( ( One ( soccer team ) ) ( ( is ( playing ( against another ) ) ) . ) ),(ROOT (S (NP (CD One) (NN soccer) (NN team)) (VP (VBZ is) (VP (VBG playing) (PP (IN against) (NP (DT another))))) (. .))),No one is playing soccer.,( ( No one ) ( ( is ( playing soccer ) ) . ) ),(ROOT (S (NP (DT No) (NN one)) (VP (VBZ is) (VP (VBG playing) (NP (NN soccer)))) (. .))) +1764,['contradiction'],2307451605.jpg#3,contradiction,2307451605.jpg#3r1c,A black dog swimming in water near rocks.,( ( ( A ( black dog ) ) ( swimming ( in ( water ( near rocks ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ black) (NN dog)) (VP (VBG swimming) (PP (IN in) (NP (NP (NN water)) (PP (IN near) (NP (NNS rocks)))))) (. .))),A dog is laying in front of a fireplace.,( ( A dog ) ( ( is ( laying ( in ( front ( of ( a fireplace ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG laying) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN fireplace))))))) (. .))) +1765,['entailment'],2307451605.jpg#3,entailment,2307451605.jpg#3r1e,A black dog swimming in water near rocks.,( ( ( A ( black dog ) ) ( swimming ( in ( water ( near rocks ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ black) (NN dog)) (VP (VBG swimming) (PP (IN in) (NP (NP (NN water)) (PP (IN near) (NP (NNS rocks)))))) (. .))),A dog is outside playing in the water.,( ( A dog ) ( ( ( is outside ) ( playing ( in ( the water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (ADVP (RB outside)) (VP (VBG playing) (PP (IN in) (NP (DT the) (NN water))))) (. .))) +1766,['neutral'],2307451605.jpg#3,neutral,2307451605.jpg#3r1n,A black dog swimming in water near rocks.,( ( ( A ( black dog ) ) ( swimming ( in ( water ( near rocks ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ black) (NN dog)) (VP (VBG swimming) (PP (IN in) (NP (NP (NN water)) (PP (IN near) (NP (NNS rocks)))))) (. .))),A dog is chasing a turtle through the water.,( ( A dog ) ( ( is ( ( chasing ( a turtle ) ) ( through ( the water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG chasing) (NP (DT a) (NN turtle)) (PP (IN through) (NP (DT the) (NN water))))) (. .))) +1767,['entailment'],527272653.jpg#0,entailment,527272653.jpg#0r1e,the three boys are all holding onto a flotation device in the water.,( ( the ( three boys ) ) ( ( ( are all ) ( holding ( onto ( ( a ( flotation device ) ) ( in ( the water ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT the) (CD three) (NNS boys)) (VP (VBP are) (RB all) (VP (VBG holding) (PP (IN onto) (NP (NP (DT a) (NN flotation) (NN device)) (PP (IN in) (NP (DT the) (NN water))))))) (. .))),Three boys are in a body of water.,( ( Three boys ) ( ( are ( in ( ( a body ) ( of water ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS boys)) (VP (VBP are) (PP (IN in) (NP (NP (DT a) (NN body)) (PP (IN of) (NP (NN water)))))) (. .))) +1768,['neutral'],527272653.jpg#0,neutral,527272653.jpg#0r1n,the three boys are all holding onto a flotation device in the water.,( ( the ( three boys ) ) ( ( ( are all ) ( holding ( onto ( ( a ( flotation device ) ) ( in ( the water ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT the) (CD three) (NNS boys)) (VP (VBP are) (RB all) (VP (VBG holding) (PP (IN onto) (NP (NP (DT a) (NN flotation) (NN device)) (PP (IN in) (NP (DT the) (NN water))))))) (. .))),The boys are wearing party clothing.,( ( The boys ) ( ( are ( wearing ( party clothing ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS boys)) (VP (VBP are) (VP (VBG wearing) (NP (NN party) (NN clothing)))) (. .))) +1769,['contradiction'],527272653.jpg#0,contradiction,527272653.jpg#0r1c,the three boys are all holding onto a flotation device in the water.,( ( the ( three boys ) ) ( ( ( are all ) ( holding ( onto ( ( a ( flotation device ) ) ( in ( the water ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT the) (CD three) (NNS boys)) (VP (VBP are) (RB all) (VP (VBG holding) (PP (IN onto) (NP (NP (DT a) (NN flotation) (NN device)) (PP (IN in) (NP (DT the) (NN water))))))) (. .))),The three boys are surfing.,( ( The ( three boys ) ) ( ( are surfing ) . ) ),(ROOT (S (NP (DT The) (CD three) (NNS boys)) (VP (VBP are) (VP (VBG surfing))) (. .))) +1770,['neutral'],7035417199.jpg#1,neutral,7035417199.jpg#1r5n,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),The team in yellow is going to score.,( ( ( The team ) ( in yellow ) ) ( ( is ( going ( to score ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG going) (PP (TO to) (NP (NN score))))) (. .))) +1771,['entailment'],7035417199.jpg#1,entailment,7035417199.jpg#1r2e,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),A soccer game is in progress.,( ( A ( soccer game ) ) ( ( is ( in progress ) ) . ) ),(ROOT (S (NP (DT A) (NN soccer) (NN game)) (VP (VBZ is) (PP (IN in) (NP (NN progress)))) (. .))) +1772,['contradiction'],7035417199.jpg#1,contradiction,7035417199.jpg#1r1c,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),The team in yellow is playing a hockey game.,( ( ( The team ) ( in yellow ) ) ( ( is ( playing ( a ( hockey game ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG playing) (NP (DT a) (NN hockey) (NN game)))) (. .))) +1773,['entailment'],7035417199.jpg#1,entailment,7035417199.jpg#1r5e,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),The goalie wants to prevent a goal.,( ( The goalie ) ( ( wants ( to ( prevent ( a goal ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN goalie)) (VP (VBZ wants) (S (VP (TO to) (VP (VB prevent) (NP (DT a) (NN goal)))))) (. .))) +1774,['contradiction'],7035417199.jpg#1,contradiction,7035417199.jpg#1r3c,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),"The goalie is sitting down on the sideline, wearing a white top and red shorts.","( ( The goalie ) ( ( is ( ( ( ( sitting down ) ( on ( the sideline ) ) ) , ) ( wearing ( ( ( a ( white top ) ) and ) ( red shorts ) ) ) ) ) . ) )","(ROOT (S (NP (DT The) (NN goalie)) (VP (VBZ is) (VP (VBG sitting) (PRT (RP down)) (PP (IN on) (NP (DT the) (NN sideline))) (, ,) (S (VP (VBG wearing) (NP (NP (DT a) (JJ white) (NN top)) (CC and) (NP (JJ red) (NNS shorts))))))) (. .)))" +1775,['entailment'],7035417199.jpg#1,entailment,7035417199.jpg#1r4e,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),A soccer game is happening.,( ( A ( soccer game ) ) ( ( is happening ) . ) ),(ROOT (S (NP (DT A) (NN soccer) (NN game)) (VP (VBZ is) (VP (VBG happening))) (. .))) +1776,['contradiction'],7035417199.jpg#1,contradiction,7035417199.jpg#1r2c,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),The soccer goalie is wearing long pants.,( ( The ( soccer goalie ) ) ( ( is ( wearing ( long pants ) ) ) . ) ),(ROOT (S (NP (DT The) (NN soccer) (NN goalie)) (VP (VBZ is) (VP (VBG wearing) (NP (JJ long) (NNS pants)))) (. .))) +1777,['neutral'],7035417199.jpg#1,neutral,7035417199.jpg#1r2n,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),This World Cup match has a very close score.,( ( This ( World ( Cup match ) ) ) ( ( has ( a ( ( very close ) score ) ) ) . ) ),(ROOT (S (NP (DT This) (NNP World) (NNP Cup) (NN match)) (VP (VBZ has) (NP (DT a) (ADJP (RB very) (JJ close)) (NN score))) (. .))) +1778,['neutral'],7035417199.jpg#1,neutral,7035417199.jpg#1r3n,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),The yellow team is ahead by three points.,( ( The ( yellow team ) ) ( ( ( is ahead ) ( by ( three points ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ yellow) (NN team)) (VP (VBZ is) (ADVP (RB ahead)) (PP (IN by) (NP (CD three) (NNS points)))) (. .))) +1779,['neutral'],7035417199.jpg#1,neutral,7035417199.jpg#1r1n,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),The team in yellow is trying to score a goal.,( ( ( The team ) ( in yellow ) ) ( ( is ( trying ( to ( score ( a goal ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB score) (NP (DT a) (NN goal))))))) (. .))) +1780,['contradiction'],7035417199.jpg#1,contradiction,7035417199.jpg#1r5c,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),The team in yellow is defending.,( ( ( The team ) ( in yellow ) ) ( ( is defending ) . ) ),(ROOT (S (NP (NP (DT The) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG defending))) (. .))) +1781,['contradiction'],7035417199.jpg#1,contradiction,7035417199.jpg#1r4c,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),No game is playing.,( ( No game ) ( ( is playing ) . ) ),(ROOT (S (NP (DT No) (NN game)) (VP (VBZ is) (VP (VBG playing))) (. .))) +1782,['neutral'],7035417199.jpg#1,neutral,7035417199.jpg#1r4n,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),Soccer game is happening the yellow team is winning.,( ( Soccer game ) ( ( is ( happening ( ( the ( yellow team ) ) ( is winning ) ) ) ) . ) ),(ROOT (S (NP (JJ Soccer) (NN game)) (VP (VBZ is) (VP (VBG happening) (NP (NP (DT the) (JJ yellow) (NN team)) (SBAR (S (VP (VBZ is) (VP (VBG winning)))))))) (. .))) +1783,['entailment'],7035417199.jpg#1,entailment,7035417199.jpg#1r1e,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),A group of people are playing a game of soccer.,( ( ( A group ) ( of people ) ) ( ( are ( playing ( ( a game ) ( of soccer ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG playing) (NP (NP (DT a) (NN game)) (PP (IN of) (NP (NN soccer)))))) (. .))) +1784,['entailment'],7035417199.jpg#1,entailment,7035417199.jpg#1r3e,A soccer game where the team in yellow is attempting to advance past the team in white towards the goalie wearing a black top and blue shorts.,( ( ( ( A ( soccer game ) ) ( where ( ( ( the team ) ( in yellow ) ) ( is ( attempting ( to ( advance ( past ( the team ) ) ) ) ) ) ) ) ) ( in ( ( white ( towards ( ( the goalie ) ( wearing ( a ( black ( ( top and ) blue ) ) ) ) ) ) ) shorts ) ) ) . ),(ROOT (NP (NP (DT A) (NN soccer) (NN game)) (SBAR (WHADVP (WRB where)) (S (NP (NP (DT the) (NN team)) (PP (IN in) (NP (NN yellow)))) (VP (VBZ is) (VP (VBG attempting) (S (VP (TO to) (VP (VB advance) (PP (IN past) (NP (DT the) (NN team)))))))))) (PP (IN in) (NP (ADJP (JJ white) (PP (IN towards) (NP (NP (DT the) (NN goalie)) (VP (VBG wearing) (NP (DT a) (JJ black) (JJ top) (CC and) (JJ blue)))))) (NNS shorts))) (. .))),There is a soccer game with a team in yellow.,( There ( ( is ( ( a ( soccer game ) ) ( with ( ( a team ) ( in yellow ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN soccer) (NN game)) (PP (IN with) (NP (NP (DT a) (NN team)) (PP (IN in) (NP (NN yellow))))))) (. .))) +1785,['entailment'],7035417199.jpg#2,entailment,7035417199.jpg#2r1e,A group of people are playing soccer and two players from opposing teams are battling for the ball.,( ( ( ( ( ( A group ) ( of people ) ) ( are ( playing soccer ) ) ) and ) ( ( ( two players ) ( from ( opposing teams ) ) ) ( are ( battling ( for ( the ball ) ) ) ) ) ) . ),(ROOT (S (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG playing) (NP (NN soccer))))) (CC and) (S (NP (NP (CD two) (NNS players)) (PP (IN from) (NP (VBG opposing) (NNS teams)))) (VP (VBP are) (VP (VBG battling) (PP (IN for) (NP (DT the) (NN ball)))))) (. .))),A soccer game.,( ( ( A soccer ) game ) . ),(ROOT (NP (NP (DT A) (NN soccer)) (NP (NN game)) (. .))) +1786,['contradiction'],7035417199.jpg#2,contradiction,7035417199.jpg#2r1c,A group of people are playing soccer and two players from opposing teams are battling for the ball.,( ( ( ( ( ( A group ) ( of people ) ) ( are ( playing soccer ) ) ) and ) ( ( ( two players ) ( from ( opposing teams ) ) ) ( are ( battling ( for ( the ball ) ) ) ) ) ) . ),(ROOT (S (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG playing) (NP (NN soccer))))) (CC and) (S (NP (NP (CD two) (NNS players)) (PP (IN from) (NP (VBG opposing) (NNS teams)))) (VP (VBP are) (VP (VBG battling) (PP (IN for) (NP (DT the) (NN ball)))))) (. .))),Men playing baseball.,( ( Men ( playing baseball ) ) . ),(ROOT (NP (NP (NNS Men)) (VP (VBG playing) (NP (NN baseball))) (. .))) +1787,['neutral'],7035417199.jpg#2,neutral,7035417199.jpg#2r1n,A group of people are playing soccer and two players from opposing teams are battling for the ball.,( ( ( ( ( ( A group ) ( of people ) ) ( are ( playing soccer ) ) ) and ) ( ( ( two players ) ( from ( opposing teams ) ) ) ( are ( battling ( for ( the ball ) ) ) ) ) ) . ),(ROOT (S (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBP are) (VP (VBG playing) (NP (NN soccer))))) (CC and) (S (NP (NP (CD two) (NNS players)) (PP (IN from) (NP (VBG opposing) (NNS teams)))) (VP (VBP are) (VP (VBG battling) (PP (IN for) (NP (DT the) (NN ball)))))) (. .))),Men are playing for the final goal in a soccer game.,( Men ( ( are ( playing ( for ( ( the ( final goal ) ) ( in ( a ( soccer game ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Men)) (VP (VBP are) (VP (VBG playing) (PP (IN for) (NP (NP (DT the) (JJ final) (NN goal)) (PP (IN in) (NP (DT a) (NN soccer) (NN game))))))) (. .))) +1788,['entailment'],7035417199.jpg#3,entailment,7035417199.jpg#3r1e,"A soccer match between a team with white jerseys, and a team with yellow jerseys.","( ( A soccer ) ( ( match ( between ( ( ( ( ( a team ) ( with ( white jerseys ) ) ) , ) and ) ( ( a team ) ( with ( yellow jerseys ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN soccer)) (VP (VBP match) (PP (IN between) (NP (NP (NP (DT a) (NN team)) (PP (IN with) (NP (JJ white) (NNS jerseys)))) (, ,) (CC and) (NP (NP (DT a) (NN team)) (PP (IN with) (NP (JJ yellow) (NNS jerseys))))))) (. .)))",A competition is happening.,( ( A competition ) ( ( is happening ) . ) ),(ROOT (S (NP (DT A) (NN competition)) (VP (VBZ is) (VP (VBG happening))) (. .))) +1789,['neutral'],7035417199.jpg#3,neutral,7035417199.jpg#3r1n,"A soccer match between a team with white jerseys, and a team with yellow jerseys.","( ( A soccer ) ( ( match ( between ( ( ( ( ( a team ) ( with ( white jerseys ) ) ) , ) and ) ( ( a team ) ( with ( yellow jerseys ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN soccer)) (VP (VBP match) (PP (IN between) (NP (NP (NP (DT a) (NN team)) (PP (IN with) (NP (JJ white) (NNS jerseys)))) (, ,) (CC and) (NP (NP (DT a) (NN team)) (PP (IN with) (NP (JJ yellow) (NNS jerseys))))))) (. .)))",The teams are in a championship match.,( ( The teams ) ( ( are ( in ( a ( championship match ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS teams)) (VP (VBP are) (PP (IN in) (NP (DT a) (NN championship) (NN match)))) (. .))) +1790,['contradiction'],7035417199.jpg#3,contradiction,7035417199.jpg#3r1c,"A soccer match between a team with white jerseys, and a team with yellow jerseys.","( ( A soccer ) ( ( match ( between ( ( ( ( ( a team ) ( with ( white jerseys ) ) ) , ) and ) ( ( a team ) ( with ( yellow jerseys ) ) ) ) ) ) . ) )","(ROOT (S (NP (DT A) (NN soccer)) (VP (VBP match) (PP (IN between) (NP (NP (NP (DT a) (NN team)) (PP (IN with) (NP (JJ white) (NNS jerseys)))) (, ,) (CC and) (NP (NP (DT a) (NN team)) (PP (IN with) (NP (JJ yellow) (NNS jerseys))))))) (. .)))",The teams play street hockey.,( ( The teams ) ( ( play ( street hockey ) ) . ) ),(ROOT (S (NP (DT The) (NNS teams)) (VP (VBP play) (NP (NN street) (NN hockey))) (. .))) +1791,['contradiction'],6082587848.jpg#4,contradiction,6082587848.jpg#4r1c,A young woman is playing the violin.,( ( A ( young woman ) ) ( ( is ( playing ( the violin ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN woman)) (VP (VBZ is) (VP (VBG playing) (NP (DT the) (NN violin)))) (. .))),The woman is eating her violin.,( ( The woman ) ( ( is ( eating ( her violin ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBG eating) (NP (PRP$ her) (NN violin)))) (. .))) +1792,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",6082587848.jpg#4,entailment,6082587848.jpg#4r1e,A young woman is playing the violin.,( ( A ( young woman ) ) ( ( is ( playing ( the violin ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN woman)) (VP (VBZ is) (VP (VBG playing) (NP (DT the) (NN violin)))) (. .))),The young violinist is a woman.,( ( The ( young violinist ) ) ( ( is ( a woman ) ) . ) ),(ROOT (S (NP (DT The) (JJ young) (NN violinist)) (VP (VBZ is) (NP (DT a) (NN woman))) (. .))) +1793,['neutral'],6082587848.jpg#4,neutral,6082587848.jpg#4r1n,A young woman is playing the violin.,( ( A ( young woman ) ) ( ( is ( playing ( the violin ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ young) (NN woman)) (VP (VBZ is) (VP (VBG playing) (NP (DT the) (NN violin)))) (. .))),The violin sounds beatuful.,( ( The violin ) ( ( sounds beatuful ) . ) ),(ROOT (S (NP (DT The) (NN violin)) (VP (VBZ sounds) (ADJP (JJ beatuful))) (. .))) +1794,['neutral'],283745783.jpg#1,neutral,283745783.jpg#1r1n,People relax around a large community fountain in a park.,( People ( ( relax ( around ( ( a ( large ( community fountain ) ) ) ( in ( a park ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP relax) (PP (IN around) (NP (NP (DT a) (JJ large) (NN community) (NN fountain)) (PP (IN in) (NP (DT a) (NN park)))))) (. .))),Tourists are sitting near the fountain.,( Tourists ( ( are ( sitting ( near ( the fountain ) ) ) ) . ) ),(ROOT (S (NP (NNS Tourists)) (VP (VBP are) (VP (VBG sitting) (PP (IN near) (NP (DT the) (NN fountain))))) (. .))) +1795,['contradiction'],283745783.jpg#1,contradiction,283745783.jpg#1r1c,People relax around a large community fountain in a park.,( People ( ( relax ( around ( ( a ( large ( community fountain ) ) ) ( in ( a park ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP relax) (PP (IN around) (NP (NP (DT a) (JJ large) (NN community) (NN fountain)) (PP (IN in) (NP (DT a) (NN park)))))) (. .))),Business men are working near a fountain.,( ( Business men ) ( ( are ( working ( near ( a fountain ) ) ) ) . ) ),(ROOT (S (NP (NNP Business) (NNS men)) (VP (VBP are) (VP (VBG working) (PP (IN near) (NP (DT a) (NN fountain))))) (. .))) +1796,['entailment'],283745783.jpg#1,entailment,283745783.jpg#1r1e,People relax around a large community fountain in a park.,( People ( ( relax ( around ( ( a ( large ( community fountain ) ) ) ( in ( a park ) ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP relax) (PP (IN around) (NP (NP (DT a) (JJ large) (NN community) (NN fountain)) (PP (IN in) (NP (DT a) (NN park)))))) (. .))),Community members are spending time in the park near a foundtain.,( ( Community members ) ( ( are ( ( spending time ) ( in ( ( the park ) ( near ( a foundtain ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Community) (NNS members)) (VP (VBP are) (VP (VBG spending) (NP (NN time)) (PP (IN in) (NP (NP (DT the) (NN park)) (PP (IN near) (NP (DT a) (NN foundtain))))))) (. .))) +1797,['neutral'],6082587848.jpg#0,neutral,6082587848.jpg#0r1n,A woman playing the violin with sunglasses on her head.,( ( ( A woman ) ( ( playing ( the violin ) ) ( with ( sunglasses ( on ( her head ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG playing) (NP (DT the) (NN violin)) (PP (IN with) (NP (NP (NNS sunglasses)) (PP (IN on) (NP (PRP$ her) (NN head)))))) (. .))),a woman is learning to play the violin,( ( a woman ) ( is ( learning ( to ( play ( the violin ) ) ) ) ) ),(ROOT (S (NP (DT a) (NN woman)) (VP (VBZ is) (VP (VBG learning) (S (VP (TO to) (VP (VB play) (NP (DT the) (NN violin))))))))) +1798,['entailment'],6082587848.jpg#0,entailment,6082587848.jpg#0r1e,A woman playing the violin with sunglasses on her head.,( ( ( A woman ) ( ( playing ( the violin ) ) ( with ( sunglasses ( on ( her head ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG playing) (NP (DT the) (NN violin)) (PP (IN with) (NP (NP (NNS sunglasses)) (PP (IN on) (NP (PRP$ her) (NN head)))))) (. .))),someone is playing an instrument,( someone ( is ( playing ( an instrument ) ) ) ),(ROOT (S (NP (NN someone)) (VP (VBZ is) (VP (VBG playing) (NP (DT an) (NN instrument)))))) +1799,['contradiction'],6082587848.jpg#0,contradiction,6082587848.jpg#0r1c,A woman playing the violin with sunglasses on her head.,( ( ( A woman ) ( ( playing ( the violin ) ) ( with ( sunglasses ( on ( her head ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG playing) (NP (DT the) (NN violin)) (PP (IN with) (NP (NP (NNS sunglasses)) (PP (IN on) (NP (PRP$ her) (NN head)))))) (. .))),a woman is eating dinner,( ( a woman ) ( is ( eating dinner ) ) ),(ROOT (S (NP (DT a) (NN woman)) (VP (VBZ is) (VP (VBG eating) (NP (NN dinner)))))) +1800,['contradiction'],6082587848.jpg#2,contradiction,6082587848.jpg#2r1c,A female violinist surrounded by other violinists.,( ( A ( female violinist ) ) ( ( surrounded ( by ( other violinists ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ female) (NN violinist)) (VP (VBN surrounded) (PP (IN by) (NP (JJ other) (NNS violinists)))) (. .))),A female violinist surrounded by wolverines.,( ( A ( female violinist ) ) ( ( surrounded ( by wolverines ) ) . ) ),(ROOT (S (NP (DT A) (JJ female) (NN violinist)) (VP (VBN surrounded) (PP (IN by) (NP (NNS wolverines)))) (. .))) +1801,['neutral'],6082587848.jpg#2,neutral,6082587848.jpg#2r1n,A female violinist surrounded by other violinists.,( ( A ( female violinist ) ) ( ( surrounded ( by ( other violinists ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ female) (NN violinist)) (VP (VBN surrounded) (PP (IN by) (NP (JJ other) (NNS violinists)))) (. .))),A female violinist surrounded by other violinists competing for a prize.,( ( A ( female violinist ) ) ( ( surrounded ( by ( ( other violinists ) ( competing ( for ( a prize ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ female) (NN violinist)) (VP (VBN surrounded) (PP (IN by) (NP (NP (JJ other) (NNS violinists)) (VP (VBG competing) (PP (IN for) (NP (DT a) (NN prize))))))) (. .))) +1802,['entailment'],6082587848.jpg#2,entailment,6082587848.jpg#2r1e,A female violinist surrounded by other violinists.,( ( A ( female violinist ) ) ( ( surrounded ( by ( other violinists ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ female) (NN violinist)) (VP (VBN surrounded) (PP (IN by) (NP (JJ other) (NNS violinists)))) (. .))),A violinist among other string musicians,( ( A violinist ) ( among ( other ( string musicians ) ) ) ),(ROOT (NP (NP (DT A) (NN violinist)) (PP (IN among) (NP (JJ other) (NN string) (NNS musicians))))) +1803,['entailment'],2710027673.jpg#3,entailment,2710027673.jpg#3r1e,"A man, wearing revolutionary period clothes, is ringing a bell.","( ( ( ( ( A man ) , ) ( wearing ( revolutionary ( period clothes ) ) ) ) , ) ( ( is ( ringing ( a bell ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (, ,) (VP (VBG wearing) (NP (JJ revolutionary) (NN period) (NNS clothes))) (, ,)) (VP (VBZ is) (VP (VBG ringing) (NP (DT a) (NN bell)))) (. .)))","A man, wearing a revolutionary apparel is making noise with a bell.","( ( A man ) ( , ( ( wearing ( a ( revolutionary apparel ) ) ) ( ( is ( ( making noise ) ( with ( a bell ) ) ) ) . ) ) ) )","(ROOT (S (NP (DT A) (NN man)) (, ,) (S (VP (VBG wearing) (NP (DT a) (JJ revolutionary) (NN apparel)))) (VP (VBZ is) (VP (VBG making) (NP (NN noise)) (PP (IN with) (NP (DT a) (NN bell))))) (. .)))" +1804,['neutral'],2710027673.jpg#3,neutral,2710027673.jpg#3r1n,"A man, wearing revolutionary period clothes, is ringing a bell.","( ( ( ( ( A man ) , ) ( wearing ( revolutionary ( period clothes ) ) ) ) , ) ( ( is ( ringing ( a bell ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (, ,) (VP (VBG wearing) (NP (JJ revolutionary) (NN period) (NNS clothes))) (, ,)) (VP (VBZ is) (VP (VBG ringing) (NP (DT a) (NN bell)))) (. .)))","A man,wearing revolutionary apparel is ringing a bell with his right hand.","( ( A man ) ( , ( ( wearing ( revolutionary apparel ) ) ( ( is ( ( ringing ( a bell ) ) ( with ( his ( right hand ) ) ) ) ) . ) ) ) )","(ROOT (S (NP (DT A) (NN man)) (, ,) (S (VP (VBG wearing) (NP (JJ revolutionary) (NN apparel)))) (VP (VBZ is) (VP (VBG ringing) (NP (DT a) (NN bell)) (PP (IN with) (NP (PRP$ his) (JJ right) (NN hand))))) (. .)))" +1805,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",2710027673.jpg#3,contradiction,2710027673.jpg#3r1c,"A man, wearing revolutionary period clothes, is ringing a bell.","( ( ( ( ( A man ) , ) ( wearing ( revolutionary ( period clothes ) ) ) ) , ) ( ( is ( ringing ( a bell ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN man)) (, ,) (VP (VBG wearing) (NP (JJ revolutionary) (NN period) (NNS clothes))) (, ,)) (VP (VBZ is) (VP (VBG ringing) (NP (DT a) (NN bell)))) (. .)))",A man is outside riding his bike.,( ( A man ) ( ( ( is outside ) ( riding ( his bike ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (ADVP (RB outside)) (VP (VBG riding) (NP (PRP$ his) (NN bike)))) (. .))) +1806,"['neutral', 'neutral', 'neutral', 'neutral', 'neutral']",2845760148.jpg#2,neutral,2845760148.jpg#2r1n,A couple of people working around a pile of rocks.,( ( ( ( A couple ) ( of people ) ) ( working ( around ( ( a pile ) ( of rocks ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN couple)) (PP (IN of) (NP (NNS people)))) (VP (VBG working) (PP (IN around) (NP (NP (DT a) (NN pile)) (PP (IN of) (NP (NNS rocks)))))) (. .))),People are landscaping their yard.,( People ( ( are ( landscaping ( their yard ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG landscaping) (NP (PRP$ their) (NN yard)))) (. .))) +1807,['entailment'],2845760148.jpg#2,entailment,2845760148.jpg#2r1e,A couple of people working around a pile of rocks.,( ( ( ( A couple ) ( of people ) ) ( working ( around ( ( a pile ) ( of rocks ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN couple)) (PP (IN of) (NP (NNS people)))) (VP (VBG working) (PP (IN around) (NP (NP (DT a) (NN pile)) (PP (IN of) (NP (NNS rocks)))))) (. .))),People are working.,( People ( ( are working ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG working))) (. .))) +1808,['contradiction'],2845760148.jpg#2,contradiction,2845760148.jpg#2r1c,A couple of people working around a pile of rocks.,( ( ( ( A couple ) ( of people ) ) ( working ( around ( ( a pile ) ( of rocks ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN couple)) (PP (IN of) (NP (NNS people)))) (VP (VBG working) (PP (IN around) (NP (NP (DT a) (NN pile)) (PP (IN of) (NP (NNS rocks)))))) (. .))),People are playing on a playground.,( People ( ( are ( playing ( on ( a playground ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG playing) (PP (IN on) (NP (DT a) (NN playground))))) (. .))) +1809,['entailment'],627714170.jpg#4,entailment,627714170.jpg#4r1e,A man wearing a gray cap is looking down.,( ( ( A man ) ( wearing ( a ( gray cap ) ) ) ) ( ( is ( looking down ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ gray) (NN cap)))) (VP (VBZ is) (VP (VBG looking) (PRT (RP down)))) (. .))),A man is wearing a cap,( ( A man ) ( is ( wearing ( a cap ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN cap)))))) +1810,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",627714170.jpg#4,contradiction,627714170.jpg#4r1c,A man wearing a gray cap is looking down.,( ( ( A man ) ( wearing ( a ( gray cap ) ) ) ) ( ( is ( looking down ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ gray) (NN cap)))) (VP (VBZ is) (VP (VBG looking) (PRT (RP down)))) (. .))),a man is looking up,( ( a man ) ( is ( looking up ) ) ),(ROOT (S (NP (DT a) (NN man)) (VP (VBZ is) (VP (VBG looking) (PRT (RP up)))))) +1811,['neutral'],627714170.jpg#4,neutral,627714170.jpg#4r1n,A man wearing a gray cap is looking down.,( ( ( A man ) ( wearing ( a ( gray cap ) ) ) ) ( ( is ( looking down ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ gray) (NN cap)))) (VP (VBZ is) (VP (VBG looking) (PRT (RP down)))) (. .))),A man is looking down at a puddle,( ( A man ) ( is ( ( looking down ) ( at ( a puddle ) ) ) ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG looking) (PRT (RP down)) (PP (IN at) (NP (DT a) (NN puddle))))))) +1812,['contradiction'],2710027673.jpg#0,contradiction,2710027673.jpg#0r1c,An older man dressed in blue historical clothing is ringing a bell in his right hand.,( ( ( An ( older man ) ) ( dressed ( in ( blue ( historical clothing ) ) ) ) ) ( ( is ( ringing ( ( a bell ) ( in ( his ( right hand ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT An) (JJR older) (NN man)) (VP (VBN dressed) (PP (IN in) (NP (JJ blue) (JJ historical) (NN clothing))))) (VP (VBZ is) (VP (VBG ringing) (NP (NP (DT a) (NN bell)) (PP (IN in) (NP (PRP$ his) (JJ right) (NN hand)))))) (. .))),police pepper spray protesters,( police ( pepper ( spray protesters ) ) ),(ROOT (NP (NN police) (NN pepper) (NN spray) (NNS protesters))) +1813,['neutral'],2710027673.jpg#0,neutral,2710027673.jpg#0r1n,An older man dressed in blue historical clothing is ringing a bell in his right hand.,( ( ( An ( older man ) ) ( dressed ( in ( blue ( historical clothing ) ) ) ) ) ( ( is ( ringing ( ( a bell ) ( in ( his ( right hand ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT An) (JJR older) (NN man)) (VP (VBN dressed) (PP (IN in) (NP (JJ blue) (JJ historical) (NN clothing))))) (VP (VBZ is) (VP (VBG ringing) (NP (NP (DT a) (NN bell)) (PP (IN in) (NP (PRP$ his) (JJ right) (NN hand)))))) (. .))),the civil war reenactment underway,( ( the ( civil ( war reenactment ) ) ) underway ),(ROOT (FRAG (NP (NP (DT the) (JJ civil) (NN war) (NN reenactment)) (ADJP (RB underway))))) +1814,['entailment'],2710027673.jpg#0,entailment,2710027673.jpg#0r1e,An older man dressed in blue historical clothing is ringing a bell in his right hand.,( ( ( An ( older man ) ) ( dressed ( in ( blue ( historical clothing ) ) ) ) ) ( ( is ( ringing ( ( a bell ) ( in ( his ( right hand ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT An) (JJR older) (NN man)) (VP (VBN dressed) (PP (IN in) (NP (JJ blue) (JJ historical) (NN clothing))))) (VP (VBZ is) (VP (VBG ringing) (NP (NP (DT a) (NN bell)) (PP (IN in) (NP (PRP$ his) (JJ right) (NN hand)))))) (. .))),man ringing a bell,( ( man ringing ) ( a bell ) ),(ROOT (NP (NP (NN man) (NN ringing)) (NP (DT a) (NN bell)))) +1815,['neutral'],4467634558.jpg#0,neutral,4467634558.jpg#0r2n,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",The children are posing because their parents made them.,( ( The children ) ( ( are ( posing ( because ( ( their parents ) ( made them ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS children)) (VP (VBP are) (VP (VBG posing) (SBAR (IN because) (S (NP (PRP$ their) (NNS parents)) (VP (VBD made) (NP (PRP them))))))) (. .))) +1816,['contradiction'],4467634558.jpg#0,contradiction,4467634558.jpg#0r2c,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",Three children are kicking the camera man.,( ( Three children ) ( ( are ( kicking ( the ( camera man ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS children)) (VP (VBP are) (VP (VBG kicking) (NP (DT the) (NN camera) (NN man)))) (. .))) +1817,['contradiction'],4467634558.jpg#0,contradiction,4467634558.jpg#0r3c,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",The boy ate the entire apple.,( ( The boy ) ( ( ate ( the ( entire apple ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBD ate) (NP (DT the) (JJ entire) (NN apple))) (. .))) +1818,['entailment'],4467634558.jpg#0,entailment,4467634558.jpg#0r3e,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",The three young childeren were hold an apple with a bite on it,( ( The ( three ( young childeren ) ) ) ( were ( ( hold ( an apple ) ) ( with ( ( a bite ) ( on it ) ) ) ) ) ),(ROOT (S (NP (DT The) (CD three) (JJ young) (NN childeren)) (VP (VBD were) (S (VP (VB hold) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (IN on) (NP (PRP it)))))))))) +1819,['neutral'],4467634558.jpg#0,neutral,4467634558.jpg#0r4n,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",Sisters and brother are posing for a shoot,( ( ( Sisters and ) brother ) ( are ( posing ( for ( a shoot ) ) ) ) ),(ROOT (S (NP (NNS Sisters) (CC and) (NN brother)) (VP (VBP are) (VP (VBG posing) (PP (IN for) (NP (DT a) (NN shoot))))))) +1820,['entailment'],4467634558.jpg#0,entailment,4467634558.jpg#0r4e,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",Girls and boys are having fun outdoors,( ( ( Girls and ) boys ) ( are ( having ( fun outdoors ) ) ) ),(ROOT (S (NP (NNS Girls) (CC and) (NNS boys)) (VP (VBP are) (VP (VBG having) (NP (NN fun) (NNS outdoors)))))) +1821,['neutral'],4467634558.jpg#0,neutral,4467634558.jpg#0r1n,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",A boy eats an apple that his sisters threw at him in the car on the way to the mountains.,( ( A boy ) ( ( ( eats ( an apple ) ) ( that ( ( his sisters ) ( ( ( threw ( at him ) ) ( in ( ( the car ) ( on ( the way ) ) ) ) ) ( to ( the mountains ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN boy)) (VP (VBZ eats) (NP (DT an) (NN apple)) (SBAR (IN that) (S (NP (PRP$ his) (NNS sisters)) (VP (VBD threw) (PP (IN at) (NP (PRP him))) (PP (IN in) (NP (NP (DT the) (NN car)) (PP (IN on) (NP (DT the) (NN way))))) (PP (TO to) (NP (DT the) (NNS mountains))))))) (. .))) +1822,['contradiction'],4467634558.jpg#0,contradiction,4467634558.jpg#0r4c,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",The kids are swimming,( ( The kids ) ( are swimming ) ),(ROOT (S (NP (DT The) (NNS kids)) (VP (VBP are) (VP (VBG swimming))))) +1823,['contradiction'],4467634558.jpg#0,contradiction,4467634558.jpg#0r5c,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",The elderly women are posing for a picture.,( ( The ( elderly women ) ) ( ( are ( posing ( for ( a picture ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ elderly) (NNS women)) (VP (VBP are) (VP (VBG posing) (PP (IN for) (NP (DT a) (NN picture))))) (. .))) +1824,['neutral'],4467634558.jpg#0,neutral,4467634558.jpg#0r5n,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",The children are posing for a family photo.,( ( The children ) ( ( are ( posing ( for ( a ( family photo ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS children)) (VP (VBP are) (VP (VBG posing) (PP (IN for) (NP (DT a) (NN family) (NN photo))))) (. .))) +1825,['entailment'],4467634558.jpg#0,entailment,4467634558.jpg#0r1e,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",Kids pose in front of a mountain background.,( Kids ( ( pose ( in ( front ( of ( a ( mountain background ) ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Kids)) (VP (VBP pose) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN mountain) (NN background)))))) (. .))) +1826,['contradiction'],4467634558.jpg#0,contradiction,4467634558.jpg#0r1c,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",A woman drinks wine.,( ( A woman ) ( ( drinks wine ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ drinks) (NP (NN wine))) (. .))) +1827,['entailment'],4467634558.jpg#0,entailment,4467634558.jpg#0r2e,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",Three children pose for a picture.,( ( Three children ) ( ( pose ( for ( a picture ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS children)) (VP (VBP pose) (PP (IN for) (NP (DT a) (NN picture)))) (. .))) +1828,['entailment'],4467634558.jpg#0,entailment,4467634558.jpg#0r5e,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",A group of children are posing.,( ( ( A group ) ( of children ) ) ( ( are posing ) . ) ),(ROOT (S (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS children)))) (VP (VBP are) (VP (VBG posing))) (. .))) +1829,['neutral'],4467634558.jpg#0,neutral,4467634558.jpg#0r3n,"Three young children consisting of two girls and a boy who is holding an apple with a bite out of it, are posing on a scenic mountain view background.","( ( ( Three ( young children ) ) ( consisting ( of ( ( ( two girls ) and ) ( ( a boy ) ( who ( is ( ( holding ( an apple ) ) ( with ( ( a bite ) ( out ( of it ) ) ) ) ) ) ) ) ) ) ) ) ( , ( ( are ( posing ( on ( a ( scenic ( mountain ( view background ) ) ) ) ) ) ) . ) ) )","(ROOT (S (NP (NP (CD Three) (JJ young) (NNS children)) (VP (VBG consisting) (PP (IN of) (NP (NP (CD two) (NNS girls)) (CC and) (NP (NP (DT a) (NN boy)) (SBAR (WHNP (WP who)) (S (VP (VBZ is) (VP (VBG holding) (NP (DT an) (NN apple)) (PP (IN with) (NP (NP (DT a) (NN bite)) (PP (RB out) (IN of) (NP (PRP it)))))))))))))) (, ,) (VP (VBP are) (VP (VBG posing) (PP (IN on) (NP (DT a) (JJ scenic) (NN mountain) (NN view) (NN background))))) (. .)))",The three childeren were enjoying the mountain view background.,( ( The ( three childeren ) ) ( ( were ( enjoying ( the ( mountain ( view background ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (CD three) (NN childeren)) (VP (VBD were) (VP (VBG enjoying) (NP (DT the) (NN mountain) (NN view) (NN background)))) (. .))) +1830,['entailment'],4467634558.jpg#1,entailment,4467634558.jpg#1r1e,"two little girls, one in a green jacket and one in a pink jacket, and a little boy in a green jacket holding an apple sitting on a rock.","( ( ( ( two ( little girls ) ) , ) ( ( ( ( ( ( one ( in ( a ( green jacket ) ) ) ) and ) ( one ( in ( a ( pink jacket ) ) ) ) ) , ) and ) ( ( a ( little boy ) ) ( in ( ( a ( green jacket ) ) ( holding ( ( an apple ) ( sitting ( on ( a rock ) ) ) ) ) ) ) ) ) ) . )","(ROOT (NP (NP (CD two) (JJ little) (NNS girls)) (, ,) (NP (NP (NP (NP (CD one)) (PP (IN in) (NP (DT a) (JJ green) (NN jacket)))) (CC and) (NP (NP (CD one)) (PP (IN in) (NP (DT a) (JJ pink) (NN jacket))))) (, ,) (CC and) (NP (NP (DT a) (JJ little) (NN boy)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket)) (VP (VBG holding) (NP (NP (DT an) (NN apple)) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN rock)))))))))) (. .)))",Three kids are sitting on a rock.,( ( Three kids ) ( ( are ( sitting ( on ( a rock ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS kids)) (VP (VBP are) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN rock))))) (. .))) +1831,['contradiction'],4467634558.jpg#1,contradiction,4467634558.jpg#1r1c,"two little girls, one in a green jacket and one in a pink jacket, and a little boy in a green jacket holding an apple sitting on a rock.","( ( ( ( two ( little girls ) ) , ) ( ( ( ( ( ( one ( in ( a ( green jacket ) ) ) ) and ) ( one ( in ( a ( pink jacket ) ) ) ) ) , ) and ) ( ( a ( little boy ) ) ( in ( ( a ( green jacket ) ) ( holding ( ( an apple ) ( sitting ( on ( a rock ) ) ) ) ) ) ) ) ) ) . )","(ROOT (NP (NP (CD two) (JJ little) (NNS girls)) (, ,) (NP (NP (NP (NP (CD one)) (PP (IN in) (NP (DT a) (JJ green) (NN jacket)))) (CC and) (NP (NP (CD one)) (PP (IN in) (NP (DT a) (JJ pink) (NN jacket))))) (, ,) (CC and) (NP (NP (DT a) (JJ little) (NN boy)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket)) (VP (VBG holding) (NP (NP (DT an) (NN apple)) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN rock)))))))))) (. .)))",A bunch of old people sit on a rock.,( ( ( A bunch ) ( of ( old people ) ) ) ( ( sit ( on ( a rock ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN bunch)) (PP (IN of) (NP (JJ old) (NNS people)))) (VP (VBP sit) (PP (IN on) (NP (DT a) (NN rock)))) (. .))) +1832,['neutral'],4467634558.jpg#1,neutral,4467634558.jpg#1r1n,"two little girls, one in a green jacket and one in a pink jacket, and a little boy in a green jacket holding an apple sitting on a rock.","( ( ( ( two ( little girls ) ) , ) ( ( ( ( ( ( one ( in ( a ( green jacket ) ) ) ) and ) ( one ( in ( a ( pink jacket ) ) ) ) ) , ) and ) ( ( a ( little boy ) ) ( in ( ( a ( green jacket ) ) ( holding ( ( an apple ) ( sitting ( on ( a rock ) ) ) ) ) ) ) ) ) ) . )","(ROOT (NP (NP (CD two) (JJ little) (NNS girls)) (, ,) (NP (NP (NP (NP (CD one)) (PP (IN in) (NP (DT a) (JJ green) (NN jacket)))) (CC and) (NP (NP (CD one)) (PP (IN in) (NP (DT a) (JJ pink) (NN jacket))))) (, ,) (CC and) (NP (NP (DT a) (JJ little) (NN boy)) (PP (IN in) (NP (NP (DT a) (JJ green) (NN jacket)) (VP (VBG holding) (NP (NP (DT an) (NN apple)) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN rock)))))))))) (. .)))",Three kids are waiting for their fourth friend.,( ( Three kids ) ( ( are ( waiting ( for ( their ( fourth friend ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS kids)) (VP (VBP are) (VP (VBG waiting) (PP (IN for) (NP (PRP$ their) (JJ fourth) (NN friend))))) (. .))) +1833,['entailment'],627714170.jpg#0,entailment,627714170.jpg#0r1e,An old man wearing khaki pants and a brown shirt standing on the sidewalk in front of a building.,( ( ( An ( old man ) ) ( ( wearing ( ( ( khaki pants ) and ) ( a ( brown ( shirt standing ) ) ) ) ) ( on ( ( the sidewalk ) ( in ( front ( of ( a building ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT An) (JJ old) (NN man)) (VP (VBG wearing) (NP (NP (NN khaki) (NNS pants)) (CC and) (NP (DT a) (JJ brown) (NN shirt) (NN standing))) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN building)))))))) (. .))),The old man is standing outside of a building.,( ( The ( old man ) ) ( ( is ( ( standing outside ) ( of ( a building ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ old) (NN man)) (VP (VBZ is) (VP (VBG standing) (ADVP (RB outside)) (PP (IN of) (NP (DT a) (NN building))))) (. .))) +1834,"['neutral', 'neutral', 'entailment', 'entailment', 'entailment']",627714170.jpg#0,entailment,627714170.jpg#0r1n,An old man wearing khaki pants and a brown shirt standing on the sidewalk in front of a building.,( ( ( An ( old man ) ) ( ( wearing ( ( ( khaki pants ) and ) ( a ( brown ( shirt standing ) ) ) ) ) ( on ( ( the sidewalk ) ( in ( front ( of ( a building ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT An) (JJ old) (NN man)) (VP (VBG wearing) (NP (NP (NN khaki) (NNS pants)) (CC and) (NP (DT a) (JJ brown) (NN shirt) (NN standing))) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN building)))))))) (. .))),An old man is standing by a building in downtown.,( ( An ( old man ) ) ( ( is ( standing ( by ( ( a building ) ( in downtown ) ) ) ) ) . ) ),(ROOT (S (NP (DT An) (JJ old) (NN man)) (VP (VBZ is) (VP (VBG standing) (PP (IN by) (NP (NP (DT a) (NN building)) (PP (IN in) (NP (NN downtown))))))) (. .))) +1835,['contradiction'],627714170.jpg#0,contradiction,627714170.jpg#0r1c,An old man wearing khaki pants and a brown shirt standing on the sidewalk in front of a building.,( ( ( An ( old man ) ) ( ( wearing ( ( ( khaki pants ) and ) ( a ( brown ( shirt standing ) ) ) ) ) ( on ( ( the sidewalk ) ( in ( front ( of ( a building ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT An) (JJ old) (NN man)) (VP (VBG wearing) (NP (NP (NN khaki) (NNS pants)) (CC and) (NP (DT a) (JJ brown) (NN shirt) (NN standing))) (PP (IN on) (NP (NP (DT the) (NN sidewalk)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN building)))))))) (. .))),The old man is taking a nap at a house.,( ( The ( old man ) ) ( ( is ( ( taking ( a nap ) ) ( at ( a house ) ) ) ) . ) ),(ROOT (S (NP (DT The) (JJ old) (NN man)) (VP (VBZ is) (VP (VBG taking) (NP (DT a) (NN nap)) (PP (IN at) (NP (DT a) (NN house))))) (. .))) +1836,"['neutral', 'neutral', 'contradiction', 'neutral', 'neutral']",2710027673.jpg#4,neutral,2710027673.jpg#4r1n,A man in costume is ringing a bell.,( ( ( A man ) ( in costume ) ) ( ( is ( ringing ( a bell ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NN costume)))) (VP (VBZ is) (VP (VBG ringing) (NP (DT a) (NN bell)))) (. .))),A man is wearing a Santa costume.,( ( A man ) ( ( is ( wearing ( a ( Santa costume ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NNP Santa) (NN costume)))) (. .))) +1837,['contradiction'],2710027673.jpg#4,contradiction,2710027673.jpg#4r1c,A man in costume is ringing a bell.,( ( ( A man ) ( in costume ) ) ( ( is ( ringing ( a bell ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NN costume)))) (VP (VBZ is) (VP (VBG ringing) (NP (DT a) (NN bell)))) (. .))),A man in costume is reading a book.,( ( ( A man ) ( in costume ) ) ( ( is ( reading ( a book ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NN costume)))) (VP (VBZ is) (VP (VBG reading) (NP (DT a) (NN book)))) (. .))) +1838,['entailment'],2710027673.jpg#4,entailment,2710027673.jpg#4r1e,A man in costume is ringing a bell.,( ( ( A man ) ( in costume ) ) ( ( is ( ringing ( a bell ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (PP (IN in) (NP (NN costume)))) (VP (VBZ is) (VP (VBG ringing) (NP (DT a) (NN bell)))) (. .))),A man is playing an instrument.,( ( A man ) ( ( is ( playing ( an instrument ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG playing) (NP (DT an) (NN instrument)))) (. .))) +1839,['entailment'],3856149623.jpg#2,entailment,3856149623.jpg#2r1e,two female medical personnel read their charts.,( ( two ( female ( medical personnel ) ) ) ( ( read ( their charts ) ) . ) ),(ROOT (S (NP (CD two) (JJ female) (JJ medical) (NNS personnel)) (VP (VBD read) (NP (PRP$ their) (NNS charts))) (. .))),The women work in the health field.,( ( The women ) ( ( work ( in ( the ( health field ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP work) (PP (IN in) (NP (DT the) (NN health) (NN field)))) (. .))) +1840,['neutral'],3856149623.jpg#2,neutral,3856149623.jpg#2r1n,two female medical personnel read their charts.,( ( two ( female ( medical personnel ) ) ) ( ( read ( their charts ) ) . ) ),(ROOT (S (NP (CD two) (JJ female) (JJ medical) (NNS personnel)) (VP (VBD read) (NP (PRP$ their) (NNS charts))) (. .))),The women are reading the charts to assess their patients' condition.,( ( The women ) ( ( are ( ( reading ( the charts ) ) ( to ( assess ( ( their ( patients ' ) ) condition ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP are) (VP (VBG reading) (NP (DT the) (NNS charts)) (S (VP (TO to) (VP (VB assess) (NP (NP (PRP$ their) (NNS patients) (POS ')) (NN condition))))))) (. .))) +1841,['contradiction'],3856149623.jpg#2,contradiction,3856149623.jpg#2r1c,two female medical personnel read their charts.,( ( two ( female ( medical personnel ) ) ) ( ( read ( their charts ) ) . ) ),(ROOT (S (NP (CD two) (JJ female) (JJ medical) (NNS personnel)) (VP (VBD read) (NP (PRP$ their) (NNS charts))) (. .))),The women are playing a game of badminton.,( ( The women ) ( ( are ( playing ( ( a game ) ( of badminton ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS women)) (VP (VBP are) (VP (VBG playing) (NP (NP (DT a) (NN game)) (PP (IN of) (NP (NN badminton)))))) (. .))) +1842,['neutral'],4389769939.jpg#1,neutral,4389769939.jpg#1r1n,"A person in an orange shirt is laying on the ground while others are standing around her, smiling.","( ( ( A person ) ( in ( an ( orange shirt ) ) ) ) ( ( is ( ( laying ( on ( the ground ) ) ) ( while ( others ( are ( ( ( standing ( around her ) ) , ) smiling ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN in) (NP (DT an) (JJ orange) (NN shirt)))) (VP (VBZ is) (VP (VBG laying) (PP (IN on) (NP (DT the) (NN ground))) (SBAR (IN while) (S (NP (NNS others)) (VP (VBP are) (VP (VP (VBG standing) (PP (IN around) (NP (PRP her)))) (, ,) (VP (VBG smiling)))))))) (. .)))",the person is a prisoner,( ( the person ) ( is ( a prisoner ) ) ),(ROOT (S (NP (DT the) (NN person)) (VP (VBZ is) (NP (DT a) (NN prisoner))))) +1843,['contradiction'],4389769939.jpg#1,contradiction,4389769939.jpg#1r1c,"A person in an orange shirt is laying on the ground while others are standing around her, smiling.","( ( ( A person ) ( in ( an ( orange shirt ) ) ) ) ( ( is ( ( laying ( on ( the ground ) ) ) ( while ( others ( are ( ( ( standing ( around her ) ) , ) smiling ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN in) (NP (DT an) (JJ orange) (NN shirt)))) (VP (VBZ is) (VP (VBG laying) (PP (IN on) (NP (DT the) (NN ground))) (SBAR (IN while) (S (NP (NNS others)) (VP (VBP are) (VP (VP (VBG standing) (PP (IN around) (NP (PRP her)))) (, ,) (VP (VBG smiling)))))))) (. .)))",the person is in blue and running,( ( the person ) ( is ( ( ( in blue ) and ) running ) ) ),(ROOT (S (NP (DT the) (NN person)) (VP (VBZ is) (UCP (PP (IN in) (ADJP (JJ blue))) (CC and) (VP (VBG running)))))) +1844,['entailment'],4389769939.jpg#1,entailment,4389769939.jpg#1r1e,"A person in an orange shirt is laying on the ground while others are standing around her, smiling.","( ( ( A person ) ( in ( an ( orange shirt ) ) ) ) ( ( is ( ( laying ( on ( the ground ) ) ) ( while ( others ( are ( ( ( standing ( around her ) ) , ) smiling ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN person)) (PP (IN in) (NP (DT an) (JJ orange) (NN shirt)))) (VP (VBZ is) (VP (VBG laying) (PP (IN on) (NP (DT the) (NN ground))) (SBAR (IN while) (S (NP (NNS others)) (VP (VBP are) (VP (VP (VBG standing) (PP (IN around) (NP (PRP her)))) (, ,) (VP (VBG smiling)))))))) (. .)))",a person in orange,( ( a person ) ( in orange ) ),(ROOT (NP (NP (DT a) (NN person)) (PP (IN in) (NP (NN orange))))) +1845,['neutral'],3723840426.jpg#4,neutral,3723840426.jpg#4r1n,Two men stand around a mixing bowl.,( ( Two men ) ( ( stand ( around ( a ( mixing bowl ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP stand) (PP (IN around) (NP (DT a) (JJ mixing) (NN bowl)))) (. .))),Two men are mixing stuff in a bowl.,( ( Two men ) ( ( are ( ( mixing stuff ) ( in ( a bowl ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG mixing) (NP (NN stuff)) (PP (IN in) (NP (DT a) (NN bowl))))) (. .))) +1846,['entailment'],3723840426.jpg#4,entailment,3723840426.jpg#4r1e,Two men stand around a mixing bowl.,( ( Two men ) ( ( stand ( around ( a ( mixing bowl ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP stand) (PP (IN around) (NP (DT a) (JJ mixing) (NN bowl)))) (. .))),Two men are around a bowl.,( ( Two men ) ( ( are ( around ( a bowl ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (PP (IN around) (NP (DT a) (NN bowl)))) (. .))) +1847,['contradiction'],3723840426.jpg#4,contradiction,3723840426.jpg#4r1c,Two men stand around a mixing bowl.,( ( Two men ) ( ( stand ( around ( a ( mixing bowl ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP stand) (PP (IN around) (NP (DT a) (JJ mixing) (NN bowl)))) (. .))),Two men are eating junk food in a car.,( ( Two men ) ( ( are ( eating ( ( junk food ) ( in ( a car ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG eating) (NP (NP (NN junk) (NN food)) (PP (IN in) (NP (DT a) (NN car)))))) (. .))) +1848,['neutral'],4389769939.jpg#3,neutral,4389769939.jpg#3r1n,Five people on stage performing and acting while girl lay's on belly.,( ( ( Five people ) ( on ( stage ( ( ( performing and ) acting ) ( while ( girl lay ) ) ) ) ) ) ( ( 's ( on belly ) ) . ) ),(ROOT (S (NP (NP (CD Five) (NNS people)) (PP (IN on) (NP (NP (NN stage)) (VP (VBG performing) (CC and) (VBG acting) (SBAR (IN while) (S (NP (NN girl)) (VP (VBD lay)))))))) (VP (VBZ 's) (PP (IN on) (NP (NN belly)))) (. .))),The troup of actors is performing in a play.,( ( ( The troup ) ( of actors ) ) ( ( is ( performing ( in ( a play ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN troup)) (PP (IN of) (NP (NNS actors)))) (VP (VBZ is) (VP (VBG performing) (PP (IN in) (NP (DT a) (NN play))))) (. .))) +1849,['contradiction'],4389769939.jpg#3,contradiction,4389769939.jpg#3r1c,Five people on stage performing and acting while girl lay's on belly.,( ( ( Five people ) ( on ( stage ( ( ( performing and ) acting ) ( while ( girl lay ) ) ) ) ) ) ( ( 's ( on belly ) ) . ) ),(ROOT (S (NP (NP (CD Five) (NNS people)) (PP (IN on) (NP (NP (NN stage)) (VP (VBG performing) (CC and) (VBG acting) (SBAR (IN while) (S (NP (NN girl)) (VP (VBD lay)))))))) (VP (VBZ 's) (PP (IN on) (NP (NN belly)))) (. .))),The group of actors performs on the street corner.,( ( ( The group ) ( of actors ) ) ( ( performs ( on ( the ( street corner ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN group)) (PP (IN of) (NP (NNS actors)))) (VP (VBZ performs) (PP (IN on) (NP (DT the) (NN street) (NN corner)))) (. .))) +1850,['entailment'],4389769939.jpg#3,entailment,4389769939.jpg#3r1e,Five people on stage performing and acting while girl lay's on belly.,( ( ( Five people ) ( on ( stage ( ( ( performing and ) acting ) ( while ( girl lay ) ) ) ) ) ) ( ( 's ( on belly ) ) . ) ),(ROOT (S (NP (NP (CD Five) (NNS people)) (PP (IN on) (NP (NP (NN stage)) (VP (VBG performing) (CC and) (VBG acting) (SBAR (IN while) (S (NP (NN girl)) (VP (VBD lay)))))))) (VP (VBZ 's) (PP (IN on) (NP (NN belly)))) (. .))),A groups of people acts on stage.,( ( ( A groups ) ( of people ) ) ( ( acts ( on stage ) ) . ) ),(ROOT (S (NP (NP (DT A) (NNS groups)) (PP (IN of) (NP (NNS people)))) (VP (VBZ acts) (PP (IN on) (NP (NN stage)))) (. .))) +1851,['entailment'],4389769939.jpg#2,entailment,4389769939.jpg#2r1e,Four people are acting behind a woman in a yellow shirt is lying on the ground.,( ( ( Four people ) ( are ( acting ( behind ( ( a woman ) ( in ( a ( yellow shirt ) ) ) ) ) ) ) ) ( ( is ( lying ( on ( the ground ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Four) (NNS people)) (SBAR (S (VP (VBP are) (VP (VBG acting) (PP (IN behind) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT a) (JJ yellow) (NN shirt)))))))))) (VP (VBZ is) (VP (VBG lying) (PP (IN on) (NP (DT the) (NN ground))))) (. .))),A woman is lying down.,( ( A woman ) ( ( is ( lying down ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ is) (VP (VBG lying) (PRT (RP down)))) (. .))) +1852,['contradiction'],4389769939.jpg#2,contradiction,4389769939.jpg#2r1c,Four people are acting behind a woman in a yellow shirt is lying on the ground.,( ( ( Four people ) ( are ( acting ( behind ( ( a woman ) ( in ( a ( yellow shirt ) ) ) ) ) ) ) ) ( ( is ( lying ( on ( the ground ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Four) (NNS people)) (SBAR (S (VP (VBP are) (VP (VBG acting) (PP (IN behind) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT a) (JJ yellow) (NN shirt)))))))))) (VP (VBZ is) (VP (VBG lying) (PP (IN on) (NP (DT the) (NN ground))))) (. .))),People are dancing outside in the rain.,( People ( ( are ( ( dancing outside ) ( in ( the rain ) ) ) ) . ) ),(ROOT (S (NP (NNS People)) (VP (VBP are) (VP (VBG dancing) (ADVP (RB outside)) (PP (IN in) (NP (DT the) (NN rain))))) (. .))) +1853,['neutral'],4389769939.jpg#2,neutral,4389769939.jpg#2r1n,Four people are acting behind a woman in a yellow shirt is lying on the ground.,( ( ( Four people ) ( are ( acting ( behind ( ( a woman ) ( in ( a ( yellow shirt ) ) ) ) ) ) ) ) ( ( is ( lying ( on ( the ground ) ) ) ) . ) ),(ROOT (S (NP (NP (CD Four) (NNS people)) (SBAR (S (VP (VBP are) (VP (VBG acting) (PP (IN behind) (NP (NP (DT a) (NN woman)) (PP (IN in) (NP (DT a) (JJ yellow) (NN shirt)))))))))) (VP (VBZ is) (VP (VBG lying) (PP (IN on) (NP (DT the) (NN ground))))) (. .))),The people are putting on a play.,( ( The people ) ( ( are ( putting ( on ( a play ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP are) (VP (VBG putting) (PP (IN on) (NP (DT a) (NN play))))) (. .))) +1854,['contradiction'],3723840426.jpg#1,contradiction,3723840426.jpg#1r1c,"Two men cook together with a metal bowl, near a hanging plant.","( ( Two men ) ( ( ( ( ( cook together ) ( with ( a ( metal bowl ) ) ) ) , ) ( near ( a ( hanging plant ) ) ) ) . ) )","(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP cook) (ADVP (RB together)) (PP (IN with) (NP (DT a) (NN metal) (NN bowl))) (, ,) (PP (IN near) (NP (DT a) (VBG hanging) (NN plant)))) (. .)))",Two men discussing on business in office,( ( ( Two men ) ( discussing ( on business ) ) ) ( in office ) ),(ROOT (NP (NP (NP (CD Two) (NNS men)) (VP (VBG discussing) (PP (IN on) (NP (NN business))))) (PP (IN in) (NP (NN office))))) +1855,['neutral'],3723840426.jpg#1,neutral,3723840426.jpg#1r1n,"Two men cook together with a metal bowl, near a hanging plant.","( ( Two men ) ( ( ( ( ( cook together ) ( with ( a ( metal bowl ) ) ) ) , ) ( near ( a ( hanging plant ) ) ) ) . ) )","(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP cook) (ADVP (RB together)) (PP (IN with) (NP (DT a) (NN metal) (NN bowl))) (, ,) (PP (IN near) (NP (DT a) (VBG hanging) (NN plant)))) (. .)))",Two men cooking together,( ( Two men ) ( cooking together ) ),(ROOT (S (NP (NP (CD Two) (NNS men)) (VP (VBG cooking) (ADVP (RB together)))))) +1856,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",3723840426.jpg#1,entailment,3723840426.jpg#1r1e,"Two men cook together with a metal bowl, near a hanging plant.","( ( Two men ) ( ( ( ( ( cook together ) ( with ( a ( metal bowl ) ) ) ) , ) ( near ( a ( hanging plant ) ) ) ) . ) )","(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP cook) (ADVP (RB together)) (PP (IN with) (NP (DT a) (NN metal) (NN bowl))) (, ,) (PP (IN near) (NP (DT a) (VBG hanging) (NN plant)))) (. .)))","Near a hanging plant, a metal bowl was used to cook by two mens","( ( Near ( a ( hanging plant ) ) ) ( , ( ( a ( metal bowl ) ) ( was ( used ( to ( cook ( by ( two mens ) ) ) ) ) ) ) ) )","(ROOT (S (PP (IN Near) (NP (DT a) (VBG hanging) (NN plant))) (, ,) (NP (DT a) (NN metal) (NN bowl)) (VP (VBD was) (VP (VBN used) (S (VP (TO to) (VP (VB cook) (PP (IN by) (NP (CD two) (NNS mens))))))))))" +1857,['neutral'],4389769939.jpg#4,neutral,4389769939.jpg#4r1n,a woman on a yellow shirt is on the floor.,( ( ( a woman ) ( on ( a ( yellow shirt ) ) ) ) ( ( is ( on ( the floor ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (PP (IN on) (NP (DT a) (JJ yellow) (NN shirt)))) (VP (VBZ is) (PP (IN on) (NP (DT the) (NN floor)))) (. .))),A woman lying on her shirt so her pants wont get dirty.,( ( ( A woman ) ( ( lying ( on ( her shirt ) ) ) ( so ( ( her pants ) wont ) ) ) ) ( ( get dirty ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (VP (VBG lying) (PP (IN on) (NP (PRP$ her) (NN shirt))) (SBAR (IN so) (S (NP (PRP$ her) (NNS pants)) (VP (VBP wont)))))) (VP (VBP get) (ADJP (JJ dirty))) (. .))) +1858,['entailment'],4389769939.jpg#4,entailment,4389769939.jpg#4r1e,a woman on a yellow shirt is on the floor.,( ( ( a woman ) ( on ( a ( yellow shirt ) ) ) ) ( ( is ( on ( the floor ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (PP (IN on) (NP (DT a) (JJ yellow) (NN shirt)))) (VP (VBZ is) (PP (IN on) (NP (DT the) (NN floor)))) (. .))),A woman on top of her clothes.,( ( ( ( A woman ) ( on top ) ) ( of ( her clothes ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (PP (IN on) (NP (NN top))) (PP (IN of) (NP (PRP$ her) (NNS clothes))) (. .))) +1859,['contradiction'],4389769939.jpg#4,contradiction,4389769939.jpg#4r1c,a woman on a yellow shirt is on the floor.,( ( ( a woman ) ( on ( a ( yellow shirt ) ) ) ) ( ( is ( on ( the floor ) ) ) . ) ),(ROOT (S (NP (NP (DT a) (NN woman)) (PP (IN on) (NP (DT a) (JJ yellow) (NN shirt)))) (VP (VBZ is) (PP (IN on) (NP (DT the) (NN floor)))) (. .))),A woman sleeping on her bed,( ( A ( woman sleeping ) ) ( on ( her bed ) ) ),(ROOT (NP (NP (DT A) (NN woman) (NN sleeping)) (PP (IN on) (NP (PRP$ her) (NN bed))))) +1860,['entailment'],3723840426.jpg#3,entailment,3723840426.jpg#3r1e,Two men share a laugh while in the kitchen.,( ( Two men ) ( ( share ( ( a ( laugh while ) ) ( in ( the kitchen ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP share) (NP (NP (DT a) (NN laugh) (NN while)) (PP (IN in) (NP (DT the) (NN kitchen))))) (. .))),Two men are in the kitchen.,( ( Two men ) ( ( are ( in ( the kitchen ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (PP (IN in) (NP (DT the) (NN kitchen)))) (. .))) +1861,['neutral'],3723840426.jpg#3,neutral,3723840426.jpg#3r1n,Two men share a laugh while in the kitchen.,( ( Two men ) ( ( share ( ( a ( laugh while ) ) ( in ( the kitchen ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP share) (NP (NP (DT a) (NN laugh) (NN while)) (PP (IN in) (NP (DT the) (NN kitchen))))) (. .))),Two men share a laugh while in the kitchen at the table and with dinner on their plates.,( ( Two men ) ( ( ( share ( a ( laugh while ) ) ) ( ( ( in ( ( the kitchen ) ( at ( the table ) ) ) ) and ) ( with ( dinner ( on ( their plates ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP share) (NP (DT a) (NN laugh) (NN while)) (PP (PP (IN in) (NP (NP (DT the) (NN kitchen)) (PP (IN at) (NP (DT the) (NN table))))) (CC and) (PP (IN with) (NP (NP (NN dinner)) (PP (IN on) (NP (PRP$ their) (NNS plates))))))) (. .))) +1862,['contradiction'],3723840426.jpg#3,contradiction,3723840426.jpg#3r1c,Two men share a laugh while in the kitchen.,( ( Two men ) ( ( share ( ( a ( laugh while ) ) ( in ( the kitchen ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP share) (NP (NP (DT a) (NN laugh) (NN while)) (PP (IN in) (NP (DT the) (NN kitchen))))) (. .))),Two men engage in a fight while in the kitchen.,( ( Two men ) ( ( engage ( in ( ( a ( fight while ) ) ( in ( the kitchen ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP engage) (PP (IN in) (NP (NP (DT a) (NN fight) (NN while)) (PP (IN in) (NP (DT the) (NN kitchen)))))) (. .))) +1863,['neutral'],3723840426.jpg#2,neutral,3723840426.jpg#2r1n,Two men are cooking in the kitchen using rice milk.,( ( Two men ) ( ( are ( cooking ( in ( ( the kitchen ) ( using ( rice milk ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG cooking) (PP (IN in) (NP (NP (DT the) (NN kitchen)) (VP (VBG using) (NP (NN rice) (NN milk))))))) (. .))),The couple cooks together in the morning.,( ( The couple ) ( ( ( cooks together ) ( in ( the morning ) ) ) . ) ),(ROOT (S (NP (DT The) (NN couple)) (VP (VBD cooks) (ADVP (RB together)) (PP (IN in) (NP (DT the) (NN morning)))) (. .))) +1864,['contradiction'],3723840426.jpg#2,contradiction,3723840426.jpg#2r1c,Two men are cooking in the kitchen using rice milk.,( ( Two men ) ( ( are ( cooking ( in ( ( the kitchen ) ( using ( rice milk ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG cooking) (PP (IN in) (NP (NP (DT the) (NN kitchen)) (VP (VBG using) (NP (NN rice) (NN milk))))))) (. .))),The men go out to eat at a restaurant.,( ( The men ) ( ( ( go out ) ( to ( eat ( at ( a restaurant ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS men)) (VP (VBP go) (PRT (RP out)) (S (VP (TO to) (VP (VB eat) (PP (IN at) (NP (DT a) (NN restaurant))))))) (. .))) +1865,['entailment'],3723840426.jpg#2,entailment,3723840426.jpg#2r1e,Two men are cooking in the kitchen using rice milk.,( ( Two men ) ( ( are ( cooking ( in ( ( the kitchen ) ( using ( rice milk ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS men)) (VP (VBP are) (VP (VBG cooking) (PP (IN in) (NP (NP (DT the) (NN kitchen)) (VP (VBG using) (NP (NN rice) (NN milk))))))) (. .))),Two guys cook using some rice milk.,( ( Two guys ) ( ( cook ( using ( some ( rice milk ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS guys)) (VP (VBP cook) (S (VP (VBG using) (NP (DT some) (NN rice) (NN milk))))) (. .))) +1866,['contradiction'],3641022607.jpg#4,contradiction,3641022607.jpg#4r1c,A man windsurfs in a wetsuit.,( ( A man ) ( ( windsurfs ( in ( a wetsuit ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ windsurfs) (PP (IN in) (NP (DT a) (NN wetsuit)))) (. .))),A man is swimming in the ocean.,( ( A man ) ( ( is ( swimming ( in ( the ocean ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG swimming) (PP (IN in) (NP (DT the) (NN ocean))))) (. .))) +1867,['neutral'],3641022607.jpg#4,neutral,3641022607.jpg#4r1n,A man windsurfs in a wetsuit.,( ( A man ) ( ( windsurfs ( in ( a wetsuit ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ windsurfs) (PP (IN in) (NP (DT a) (NN wetsuit)))) (. .))),A man is windsurfing on the lake.,( ( A man ) ( ( is ( windsurfing ( on ( the lake ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG windsurfing) (PP (IN on) (NP (DT the) (NN lake))))) (. .))) +1868,"['entailment', 'entailment', 'entailment', 'entailment']",3641022607.jpg#4,entailment,3641022607.jpg#4r1e,A man windsurfs in a wetsuit.,( ( A man ) ( ( windsurfs ( in ( a wetsuit ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ windsurfs) (PP (IN in) (NP (DT a) (NN wetsuit)))) (. .))),A man is windsurfing.,( ( A man ) ( ( is windsurfing ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG windsurfing))) (. .))) +1869,['neutral'],3641022607.jpg#1,neutral,3641022607.jpg#1r1n,A kite surfer begins to fall in the ocean.,( ( A ( kite surfer ) ) ( ( begins ( to ( fall ( in ( the ocean ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN kite) (NN surfer)) (VP (VBZ begins) (S (VP (TO to) (VP (VB fall) (PP (IN in) (NP (DT the) (NN ocean))))))) (. .))),A kite surfer is trying to keep their balance,( ( A ( kite surfer ) ) ( is ( trying ( to ( keep ( their balance ) ) ) ) ) ),(ROOT (S (NP (DT A) (NN kite) (NN surfer)) (VP (VBZ is) (VP (VBG trying) (S (VP (TO to) (VP (VB keep) (NP (PRP$ their) (NN balance))))))))) +1870,['entailment'],3641022607.jpg#1,entailment,3641022607.jpg#1r1e,A kite surfer begins to fall in the ocean.,( ( A ( kite surfer ) ) ( ( begins ( to ( fall ( in ( the ocean ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN kite) (NN surfer)) (VP (VBZ begins) (S (VP (TO to) (VP (VB fall) (PP (IN in) (NP (DT the) (NN ocean))))))) (. .))),A kite surfer is falling,( ( A ( kite surfer ) ) ( is falling ) ),(ROOT (S (NP (DT A) (NN kite) (NN surfer)) (VP (VBZ is) (VP (VBG falling))))) +1871,['contradiction'],3641022607.jpg#1,contradiction,3641022607.jpg#1r1c,A kite surfer begins to fall in the ocean.,( ( A ( kite surfer ) ) ( ( begins ( to ( fall ( in ( the ocean ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN kite) (NN surfer)) (VP (VBZ begins) (S (VP (TO to) (VP (VB fall) (PP (IN in) (NP (DT the) (NN ocean))))))) (. .))),A kite surfer is flying,( ( A ( kite surfer ) ) ( is flying ) ),(ROOT (S (NP (DT A) (NN kite) (NN surfer)) (VP (VBZ is) (VP (VBG flying))))) +1872,['entailment'],3641022607.jpg#0,entailment,3641022607.jpg#0r1e,A windsurfer is balancing on choppy water.,( ( A windsurfer ) ( ( is ( balancing ( on ( choppy water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN windsurfer)) (VP (VBZ is) (VP (VBG balancing) (PP (IN on) (NP (JJ choppy) (NN water))))) (. .))),There is a windsurfer balancing on choppy water.,( There ( ( is ( ( a ( windsurfer balancing ) ) ( on ( choppy water ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN windsurfer) (NN balancing)) (PP (IN on) (NP (JJ choppy) (NN water))))) (. .))) +1873,['contradiction'],3641022607.jpg#0,contradiction,3641022607.jpg#0r1c,A windsurfer is balancing on choppy water.,( ( A windsurfer ) ( ( is ( balancing ( on ( choppy water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN windsurfer)) (VP (VBZ is) (VP (VBG balancing) (PP (IN on) (NP (JJ choppy) (NN water))))) (. .))),There is a windsurfer who fell on the ground.,( There ( ( is ( ( a windsurfer ) ( who ( fell ( on ( the ground ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN windsurfer)) (SBAR (WHNP (WP who)) (S (VP (VBD fell) (PP (IN on) (NP (DT the) (NN ground)))))))) (. .))) +1874,['neutral'],3641022607.jpg#0,neutral,3641022607.jpg#0r1n,A windsurfer is balancing on choppy water.,( ( A windsurfer ) ( ( is ( balancing ( on ( choppy water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN windsurfer)) (VP (VBZ is) (VP (VBG balancing) (PP (IN on) (NP (JJ choppy) (NN water))))) (. .))),There is a windsurfer who fell in choppy water.,( There ( ( is ( ( a windsurfer ) ( who ( fell ( in ( choppy water ) ) ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (DT a) (NN windsurfer)) (SBAR (WHNP (WP who)) (S (VP (VBD fell) (PP (IN in) (NP (JJ choppy) (NN water)))))))) (. .))) +1875,['contradiction'],3641022607.jpg#3,contradiction,3641022607.jpg#3r1c,A man wakeboards on choppy water.,( ( A man ) ( ( wakeboards ( on ( choppy water ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ wakeboards) (PP (IN on) (NP (JJ choppy) (NN water)))) (. .))),A woman wakeboards on choppy water.,( ( A woman ) ( ( wakeboards ( on ( choppy water ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ wakeboards) (PP (IN on) (NP (JJ choppy) (NN water)))) (. .))) +1876,['neutral'],3641022607.jpg#3,neutral,3641022607.jpg#3r1n,A man wakeboards on choppy water.,( ( A man ) ( ( wakeboards ( on ( choppy water ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ wakeboards) (PP (IN on) (NP (JJ choppy) (NN water)))) (. .))),The man is competeing in a competition.,( ( The man ) ( ( is ( competeing ( in ( a competition ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG competeing) (PP (IN in) (NP (DT a) (NN competition))))) (. .))) +1877,['entailment'],3641022607.jpg#3,entailment,3641022607.jpg#3r1e,A man wakeboards on choppy water.,( ( A man ) ( ( wakeboards ( on ( choppy water ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ wakeboards) (PP (IN on) (NP (JJ choppy) (NN water)))) (. .))),A man is wakeboarding.,( ( A man ) ( ( is wakeboarding ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG wakeboarding))) (. .))) +1878,['entailment'],3641022607.jpg#2,entailment,3641022607.jpg#2r1e,A man parasails in the choppy water.,( ( A man ) ( ( parasails ( in ( the ( choppy water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ parasails) (PP (IN in) (NP (DT the) (JJ choppy) (NN water)))) (. .))),The water was choppy as the man parasailed.,( ( The water ) ( ( ( was choppy ) ( as ( ( the man ) parasailed ) ) ) . ) ),(ROOT (S (NP (DT The) (NN water)) (VP (VBD was) (ADJP (JJ choppy)) (SBAR (IN as) (S (NP (DT the) (NN man)) (VP (VBD parasailed))))) (. .))) +1879,['contradiction'],3641022607.jpg#2,contradiction,3641022607.jpg#2r1c,A man parasails in the choppy water.,( ( A man ) ( ( parasails ( in ( the ( choppy water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ parasails) (PP (IN in) (NP (DT the) (JJ choppy) (NN water)))) (. .))),The man parasailed in the calm water.,( ( The man ) ( ( parasailed ( in ( the ( calm water ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBD parasailed) (PP (IN in) (NP (DT the) (JJ calm) (NN water)))) (. .))) +1880,['neutral'],3641022607.jpg#2,neutral,3641022607.jpg#2r1n,A man parasails in the choppy water.,( ( A man ) ( ( parasails ( in ( the ( choppy water ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ parasails) (PP (IN in) (NP (DT the) (JJ choppy) (NN water)))) (. .))),The calm waves turned choppy as the main started to parasail.,( ( The ( calm waves ) ) ( ( ( turned choppy ) ( as ( ( the main ) ( started ( to parasail ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN calm) (NNS waves)) (VP (VBD turned) (ADJP (JJ choppy)) (SBAR (IN as) (S (NP (DT the) (JJ main)) (VP (VBD started) (S (VP (TO to) (VP (VB parasail)))))))) (. .))) +1881,['neutral'],3308132698.jpg#0,neutral,3308132698.jpg#0r1n,"A woman in a white dress with a tiara sings in a chorus, which has a row of men in sailor hats.","( ( ( A woman ) ( in ( ( a ( white dress ) ) ( with ( a tiara ) ) ) ) ) ( ( sings ( in ( ( ( a chorus ) , ) ( which ( has ( ( a row ) ( of ( men ( in ( sailor hats ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ white) (NN dress)) (PP (IN with) (NP (DT a) (NN tiara)))))) (VP (VBZ sings) (PP (IN in) (NP (NP (DT a) (NN chorus)) (, ,) (SBAR (WHNP (WDT which)) (S (VP (VBZ has) (NP (NP (DT a) (NN row)) (PP (IN of) (NP (NP (NNS men)) (PP (IN in) (NP (NN sailor) (NNS hats)))))))))))) (. .)))",The men in sailor hats are dancing on stage.,( ( ( The men ) ( in ( sailor hats ) ) ) ( ( are ( dancing ( on stage ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NNS men)) (PP (IN in) (NP (NN sailor) (NNS hats)))) (VP (VBP are) (VP (VBG dancing) (PP (IN on) (NP (NN stage))))) (. .))) +1882,['entailment'],3308132698.jpg#0,entailment,3308132698.jpg#0r1e,"A woman in a white dress with a tiara sings in a chorus, which has a row of men in sailor hats.","( ( ( A woman ) ( in ( ( a ( white dress ) ) ( with ( a tiara ) ) ) ) ) ( ( sings ( in ( ( ( a chorus ) , ) ( which ( has ( ( a row ) ( of ( men ( in ( sailor hats ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ white) (NN dress)) (PP (IN with) (NP (DT a) (NN tiara)))))) (VP (VBZ sings) (PP (IN in) (NP (NP (DT a) (NN chorus)) (, ,) (SBAR (WHNP (WDT which)) (S (VP (VBZ has) (NP (NP (DT a) (NN row)) (PP (IN of) (NP (NP (NNS men)) (PP (IN in) (NP (NN sailor) (NNS hats)))))))))))) (. .)))",The chorus is singing.,( ( The chorus ) ( ( is singing ) . ) ),(ROOT (S (NP (DT The) (NN chorus)) (VP (VBZ is) (VP (VBG singing))) (. .))) +1883,['contradiction'],3308132698.jpg#0,contradiction,3308132698.jpg#0r1c,"A woman in a white dress with a tiara sings in a chorus, which has a row of men in sailor hats.","( ( ( A woman ) ( in ( ( a ( white dress ) ) ( with ( a tiara ) ) ) ) ) ( ( sings ( in ( ( ( a chorus ) , ) ( which ( has ( ( a row ) ( of ( men ( in ( sailor hats ) ) ) ) ) ) ) ) ) ) . ) )","(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (DT a) (JJ white) (NN dress)) (PP (IN with) (NP (DT a) (NN tiara)))))) (VP (VBZ sings) (PP (IN in) (NP (NP (DT a) (NN chorus)) (, ,) (SBAR (WHNP (WDT which)) (S (VP (VBZ has) (NP (NP (DT a) (NN row)) (PP (IN of) (NP (NP (NNS men)) (PP (IN in) (NP (NN sailor) (NNS hats)))))))))))) (. .)))",The woman wearing a tiara is getting married.,( ( ( The woman ) ( wearing ( a tiara ) ) ) ( ( is ( getting married ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN woman)) (VP (VBG wearing) (NP (DT a) (NN tiara)))) (VP (VBZ is) (VP (VBG getting) (ADJP (JJ married)))) (. .))) +1884,['neutral'],1145810912.jpg#4,neutral,1145810912.jpg#4r1n,A child using a woodworking tool,( A ( child ( using ( a ( woodworking tool ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN child) (S (VP (VBG using) (NP (DT a) (VBG woodworking) (NN tool))))))),the child is a woodworker.,( ( the child ) ( ( is ( a woodworker ) ) . ) ),(ROOT (S (NP (DT the) (NN child)) (VP (VBZ is) (NP (DT a) (NN woodworker))) (. .))) +1885,['contradiction'],1145810912.jpg#4,contradiction,1145810912.jpg#4r1c,A child using a woodworking tool,( A ( child ( using ( a ( woodworking tool ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN child) (S (VP (VBG using) (NP (DT a) (VBG woodworking) (NN tool))))))),the child is in the bathroom,( ( the child ) ( is ( in ( the bathroom ) ) ) ),(ROOT (S (NP (DT the) (NN child)) (VP (VBZ is) (PP (IN in) (NP (DT the) (NN bathroom)))))) +1886,['entailment'],1145810912.jpg#4,entailment,1145810912.jpg#4r1e,A child using a woodworking tool,( A ( child ( using ( a ( woodworking tool ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN child) (S (VP (VBG using) (NP (DT a) (VBG woodworking) (NN tool))))))),the child is working with wood.,( ( the child ) ( ( is ( working ( with wood ) ) ) . ) ),(ROOT (S (NP (DT the) (NN child)) (VP (VBZ is) (VP (VBG working) (PP (IN with) (NP (NN wood))))) (. .))) +1887,['contradiction'],294443417.jpg#4,contradiction,294443417.jpg#4r1c,A little kid enjoying some sledding on a winter day.,( ( ( A ( little kid ) ) ( enjoying ( ( some sledding ) ( on ( a ( winter day ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ little) (NN kid)) (VP (VBG enjoying) (NP (NP (DT some) (NN sledding)) (PP (IN on) (NP (DT a) (NN winter) (NN day))))) (. .))),The kid is wearing skates.,( ( The kid ) ( ( is ( wearing skates ) ) . ) ),(ROOT (S (NP (DT The) (NN kid)) (VP (VBZ is) (VP (VBG wearing) (NP (NNS skates)))) (. .))) +1888,['entailment'],294443417.jpg#4,entailment,294443417.jpg#4r1e,A little kid enjoying some sledding on a winter day.,( ( ( A ( little kid ) ) ( enjoying ( ( some sledding ) ( on ( a ( winter day ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ little) (NN kid)) (VP (VBG enjoying) (NP (NP (DT some) (NN sledding)) (PP (IN on) (NP (DT a) (NN winter) (NN day))))) (. .))),There is snow on the ground.,( There ( ( is ( snow ( on ( the ground ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (NP (NP (NN snow)) (PP (IN on) (NP (DT the) (NN ground))))) (. .))) +1889,['neutral'],294443417.jpg#4,neutral,294443417.jpg#4r1n,A little kid enjoying some sledding on a winter day.,( ( ( A ( little kid ) ) ( enjoying ( ( some sledding ) ( on ( a ( winter day ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ little) (NN kid)) (VP (VBG enjoying) (NP (NP (DT some) (NN sledding)) (PP (IN on) (NP (DT a) (NN winter) (NN day))))) (. .))),The kid is wearing a hat.,( ( The kid ) ( ( is ( wearing ( a hat ) ) ) . ) ),(ROOT (S (NP (DT The) (NN kid)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN hat)))) (. .))) +1890,['contradiction'],2781699063.jpg#4,contradiction,2781699063.jpg#4r1c,A person is looking at water jets.,( ( A person ) ( ( is ( looking ( at ( water jets ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NN water) (NNS jets))))) (. .))),The person is at a car lot.,( ( The person ) ( ( is ( at ( a ( car lot ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN person)) (VP (VBZ is) (PP (IN at) (NP (DT a) (NN car) (NN lot)))) (. .))) +1891,['entailment'],2781699063.jpg#4,entailment,2781699063.jpg#4r1e,A person is looking at water jets.,( ( A person ) ( ( is ( looking ( at ( water jets ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NN water) (NNS jets))))) (. .))),The person is interested in a water jet.,( ( The person ) ( ( is ( interested ( in ( a ( water jet ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN person)) (VP (VBZ is) (ADJP (JJ interested) (PP (IN in) (NP (DT a) (NN water) (NN jet))))) (. .))) +1892,['neutral'],2781699063.jpg#4,neutral,2781699063.jpg#4r1n,A person is looking at water jets.,( ( A person ) ( ( is ( looking ( at ( water jets ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN person)) (VP (VBZ is) (VP (VBG looking) (PP (IN at) (NP (NN water) (NNS jets))))) (. .))),The person wants a water jet.,( ( The person ) ( ( wants ( a ( water jet ) ) ) . ) ),(ROOT (S (NP (DT The) (NN person)) (VP (VBZ wants) (NP (DT a) (NN water) (NN jet))) (. .))) +1893,['entailment'],2781699063.jpg#3,entailment,2781699063.jpg#3r1e,Two people enjoying a water fountain display.,( ( ( Two people ) ( enjoying ( a ( water fountain ) ) ) ) ( display . ) ),(ROOT (S (NP (NP (CD Two) (NNS people)) (VP (VBG enjoying) (NP (DT a) (NN water) (NN fountain)))) (VP (VBP display)) (. .))),two people by a fountain,( ( two people ) ( by ( a fountain ) ) ),(ROOT (NP (NP (CD two) (NNS people)) (PP (IN by) (NP (DT a) (NN fountain))))) +1894,['contradiction'],2781699063.jpg#3,contradiction,2781699063.jpg#3r1c,Two people enjoying a water fountain display.,( ( ( Two people ) ( enjoying ( a ( water fountain ) ) ) ) ( display . ) ),(ROOT (S (NP (NP (CD Two) (NNS people)) (VP (VBG enjoying) (NP (DT a) (NN water) (NN fountain)))) (VP (VBP display)) (. .))),one dog sleeping,( ( one dog ) sleeping ),(ROOT (NP (NP (CD one) (NN dog)) (NP (NN sleeping)))) +1895,['neutral'],2781699063.jpg#3,neutral,2781699063.jpg#3r1n,Two people enjoying a water fountain display.,( ( ( Two people ) ( enjoying ( a ( water fountain ) ) ) ) ( display . ) ),(ROOT (S (NP (NP (CD Two) (NNS people)) (VP (VBG enjoying) (NP (DT a) (NN water) (NN fountain)))) (VP (VBP display)) (. .))),two people in the water of a fountain,( ( two people ) ( in ( ( the water ) ( of ( a fountain ) ) ) ) ),(ROOT (NP (NP (CD two) (NNS people)) (PP (IN in) (NP (NP (DT the) (NN water)) (PP (IN of) (NP (DT a) (NN fountain))))))) +1896,"['neutral', 'neutral', 'contradiction', 'neutral', 'neutral']",1145810912.jpg#1,neutral,1145810912.jpg#1r1n,A boy in a red and blue shirt painting a log.,( ( ( A boy ) ( in ( ( a ( ( ( red and ) blue ) shirt ) ) ( painting ( a log ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)) (VP (VBG painting) (NP (DT a) (NN log))))) (. .))),A boy painting a log in the rain.,( ( ( A boy ) ( painting ( ( a log ) ( in ( the rain ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN boy)) (VP (VBG painting) (NP (NP (DT a) (NN log)) (PP (IN in) (NP (DT the) (NN rain))))) (. .))) +1897,['entailment'],1145810912.jpg#1,entailment,1145810912.jpg#1r1e,A boy in a red and blue shirt painting a log.,( ( ( A boy ) ( in ( ( a ( ( ( red and ) blue ) shirt ) ) ( painting ( a log ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)) (VP (VBG painting) (NP (DT a) (NN log))))) (. .))),A boy painting a log.,( ( ( A boy ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (DT A) (NN boy)) (VP (VBG painting) (NP (DT a) (NN log))) (. .))) +1898,['contradiction'],1145810912.jpg#1,contradiction,1145810912.jpg#1r1c,A boy in a red and blue shirt painting a log.,( ( ( A boy ) ( in ( ( a ( ( ( red and ) blue ) shirt ) ) ( painting ( a log ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN boy)) (PP (IN in) (NP (NP (DT a) (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)) (VP (VBG painting) (NP (DT a) (NN log))))) (. .))),A girl aslee on a log.,( ( A girl ) ( ( aslee ( on ( a log ) ) ) . ) ),(ROOT (S (NP (DT A) (NN girl)) (VP (VBP aslee) (PP (IN on) (NP (DT a) (NN log)))) (. .))) +1899,['entailment'],1145810912.jpg#2,entailment,1145810912.jpg#2r3e,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),A log is being painted by a child.,( ( A log ) ( ( is ( being ( painted ( by ( a child ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN log)) (VP (VBZ is) (VP (VBG being) (VP (VBN painted) (PP (IN by) (NP (DT a) (NN child)))))) (. .))) +1900,['neutral'],1145810912.jpg#2,neutral,1145810912.jpg#2r2n,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),The child is painting the log blue.,( ( The child ) ( ( is ( painting ( the ( log blue ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ is) (VP (VBG painting) (NP (DT the) (NN log) (NN blue)))) (. .))) +1901,['entailment'],1145810912.jpg#2,entailment,1145810912.jpg#2r1e,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),A child in a multicolored shirt is painting a log,( ( ( A child ) ( in ( a ( multicolored shirt ) ) ) ) ( is ( painting ( a log ) ) ) ),(ROOT (S (NP (NP (DT A) (NN child)) (PP (IN in) (NP (DT a) (JJ multicolored) (NN shirt)))) (VP (VBZ is) (VP (VBG painting) (NP (DT a) (NN log)))))) +1902,['neutral'],1145810912.jpg#2,neutral,1145810912.jpg#2r5n,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),The child is painting a log for his grandpa.,( ( The child ) ( ( is ( painting ( ( a log ) ( for ( his grandpa ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ is) (VP (VBG painting) (NP (NP (DT a) (NN log)) (PP (IN for) (NP (PRP$ his) (NN grandpa)))))) (. .))) +1903,['contradiction'],1145810912.jpg#2,contradiction,1145810912.jpg#2r5c,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),The log is chasing the child.,( ( The log ) ( ( is ( chasing ( the child ) ) ) . ) ),(ROOT (S (NP (DT The) (NN log)) (VP (VBZ is) (VP (VBG chasing) (NP (DT the) (NN child)))) (. .))) +1904,['entailment'],1145810912.jpg#2,entailment,1145810912.jpg#2r4e,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),The child is painting the wood.,( ( The child ) ( ( is ( painting ( the wood ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ is) (VP (VBG painting) (NP (DT the) (NN wood)))) (. .))) +1905,['neutral'],1145810912.jpg#2,neutral,1145810912.jpg#2r3n,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),The boy is painting,( ( The boy ) ( is painting ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ is) (VP (VBG painting))))) +1906,['neutral'],1145810912.jpg#2,neutral,1145810912.jpg#2r1n,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),A child with clothes on is painting somthing,( ( ( A child ) ( with ( clothes on ) ) ) ( is ( painting somthing ) ) ),(ROOT (S (NP (NP (DT A) (NN child)) (PP (IN with) (NP (NP (NNS clothes)) (PP (IN on))))) (VP (VBZ is) (VP (VBG painting) (S (VP (VBG somthing))))))) +1907,['entailment'],1145810912.jpg#2,entailment,1145810912.jpg#2r5e,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),The child is painting.,( ( The child ) ( ( is painting ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ is) (VP (VBG painting))) (. .))) +1908,['neutral'],1145810912.jpg#2,neutral,1145810912.jpg#2r4n,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),A child in a plaid shirt is painting.,( ( ( A child ) ( in ( a ( plaid shirt ) ) ) ) ( ( is painting ) . ) ),(ROOT (S (NP (NP (DT A) (NN child)) (PP (IN in) (NP (DT a) (JJ plaid) (NN shirt)))) (VP (VBZ is) (VP (VBG painting))) (. .))) +1909,['contradiction'],1145810912.jpg#2,contradiction,1145810912.jpg#2r3c,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),The child in the purple shirt is playing basketball.,( ( ( The child ) ( in ( the ( purple shirt ) ) ) ) ( ( is ( playing basketball ) ) . ) ),(ROOT (S (NP (NP (DT The) (NN child)) (PP (IN in) (NP (DT the) (JJ purple) (NN shirt)))) (VP (VBZ is) (VP (VBG playing) (NP (NN basketball)))) (. .))) +1910,['contradiction'],1145810912.jpg#2,contradiction,1145810912.jpg#2r4c,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),The child uses a log to float down the river.,( ( The child ) ( ( uses ( a ( log ( to ( ( float down ) ( the river ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ uses) (NP (DT a) (NN log) (S (VP (TO to) (VP (VB float) (PRT (RP down)) (NP (DT the) (NN river))))))) (. .))) +1911,['contradiction'],1145810912.jpg#2,contradiction,1145810912.jpg#2r2c,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),The child is wearing a green shirt.,( ( The child ) ( ( is ( wearing ( a ( green shirt ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (JJ green) (NN shirt)))) (. .))) +1912,['entailment'],1145810912.jpg#2,entailment,1145810912.jpg#2r2e,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),The child is painting.,( ( The child ) ( ( is painting ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ is) (VP (VBG painting))) (. .))) +1913,['contradiction'],1145810912.jpg#2,contradiction,1145810912.jpg#2r1c,Child in red and blue shirt painting a log.,( ( ( Child ( in ( ( ( red and ) blue ) shirt ) ) ) ( painting ( a log ) ) ) . ),(ROOT (NP (NP (NP (NN Child)) (PP (IN in) (NP (ADJP (JJ red) (CC and) (JJ blue)) (NN shirt)))) (VP (VBG painting) (NP (DT a) (NN log))) (. .))),This crazy dog in a yellow shirt learned how to paint!,( ( ( This ( crazy dog ) ) ( in ( a ( yellow shirt ) ) ) ) ( ( learned ( how ( to paint ) ) ) ! ) ),(ROOT (S (NP (NP (DT This) (JJ crazy) (NN dog)) (PP (IN in) (NP (DT a) (JJ yellow) (NN shirt)))) (VP (VBD learned) (SBAR (WHADVP (WRB how)) (S (VP (TO to) (VP (VB paint)))))) (. !))) +1914,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",2781699063.jpg#0,contradiction,2781699063.jpg#0r1c,Two people are next to a fountain with a red bottom and arches of water.,( ( Two people ) ( ( are ( next ( to ( ( ( ( a fountain ) ( with ( a ( red bottom ) ) ) ) and ) ( arches ( of water ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (ADJP (JJ next) (PP (TO to) (NP (NP (NP (DT a) (NN fountain)) (PP (IN with) (NP (DT a) (JJ red) (NN bottom)))) (CC and) (NP (NP (NNS arches)) (PP (IN of) (NP (NN water)))))))) (. .))),A man is sitting on the couch.,( ( A man ) ( ( is ( sitting ( on ( the couch ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT the) (NN couch))))) (. .))) +1915,['entailment'],2781699063.jpg#0,entailment,2781699063.jpg#0r1e,Two people are next to a fountain with a red bottom and arches of water.,( ( Two people ) ( ( are ( next ( to ( ( ( ( a fountain ) ( with ( a ( red bottom ) ) ) ) and ) ( arches ( of water ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (ADJP (JJ next) (PP (TO to) (NP (NP (NP (DT a) (NN fountain)) (PP (IN with) (NP (DT a) (JJ red) (NN bottom)))) (CC and) (NP (NP (NNS arches)) (PP (IN of) (NP (NN water)))))))) (. .))),Two people are next to a fountain together.,( ( Two people ) ( ( ( are ( next ( to ( a fountain ) ) ) ) together ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (ADVP (JJ next) (PP (TO to) (NP (DT a) (NN fountain)))) (ADVP (RB together))) (. .))) +1916,['neutral'],2781699063.jpg#0,neutral,2781699063.jpg#0r1n,Two people are next to a fountain with a red bottom and arches of water.,( ( Two people ) ( ( are ( next ( to ( ( ( ( a fountain ) ( with ( a ( red bottom ) ) ) ) and ) ( arches ( of water ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (ADJP (JJ next) (PP (TO to) (NP (NP (NP (DT a) (NN fountain)) (PP (IN with) (NP (DT a) (JJ red) (NN bottom)))) (CC and) (NP (NP (NNS arches)) (PP (IN of) (NP (NN water)))))))) (. .))),Two people are next to a fountain in the park.,( ( Two people ) ( ( are ( next ( to ( ( a fountain ) ( in ( the park ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (ADJP (JJ next) (PP (TO to) (NP (NP (DT a) (NN fountain)) (PP (IN in) (NP (DT the) (NN park))))))) (. .))) +1917,['contradiction'],56927229.jpg#1,contradiction,56927229.jpg#1r1c,An expectant woman happily lets another listen to the baby inside of her.,( ( An ( expectant woman ) ) ( happily ( ( lets ( another ( listen ( to ( ( the baby ) ( inside ( of her ) ) ) ) ) ) ) . ) ) ),(ROOT (S (NP (DT An) (JJ expectant) (NN woman)) (ADVP (RB happily)) (VP (VBZ lets) (S (NP (DT another)) (VP (VB listen) (PP (TO to) (NP (NP (DT the) (NN baby)) (PP (JJ inside) (IN of) (NP (PRP her)))))))) (. .))),A woman shares photos of her unborn child smiling.,( ( A woman ) ( ( shares ( photos ( of ( ( her ( unborn child ) ) smiling ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ shares) (NP (NP (NNS photos)) (PP (IN of) (NP (NP (PRP$ her) (JJ unborn) (NN child)) (VP (VBG smiling)))))) (. .))) +1918,['entailment'],56927229.jpg#1,entailment,56927229.jpg#1r1e,An expectant woman happily lets another listen to the baby inside of her.,( ( An ( expectant woman ) ) ( happily ( ( lets ( another ( listen ( to ( ( the baby ) ( inside ( of her ) ) ) ) ) ) ) . ) ) ),(ROOT (S (NP (DT An) (JJ expectant) (NN woman)) (ADVP (RB happily)) (VP (VBZ lets) (S (NP (DT another)) (VP (VB listen) (PP (TO to) (NP (NP (DT the) (NN baby)) (PP (JJ inside) (IN of) (NP (PRP her)))))))) (. .))),A pregnant lady shares the sounds of her pregnancy.,( ( A ( pregnant lady ) ) ( ( shares ( ( the sounds ) ( of ( her pregnancy ) ) ) ) . ) ),(ROOT (S (NP (DT A) (JJ pregnant) (NN lady)) (VP (VBZ shares) (NP (NP (DT the) (NNS sounds)) (PP (IN of) (NP (PRP$ her) (NN pregnancy))))) (. .))) +1919,['neutral'],56927229.jpg#1,neutral,56927229.jpg#1r1n,An expectant woman happily lets another listen to the baby inside of her.,( ( An ( expectant woman ) ) ( happily ( ( lets ( another ( listen ( to ( ( the baby ) ( inside ( of her ) ) ) ) ) ) ) . ) ) ),(ROOT (S (NP (DT An) (JJ expectant) (NN woman)) (ADVP (RB happily)) (VP (VBZ lets) (S (NP (DT another)) (VP (VB listen) (PP (TO to) (NP (NP (DT the) (NN baby)) (PP (JJ inside) (IN of) (NP (PRP her)))))))) (. .))),Someone puts their ear up to a pregnant belly.,( Someone ( ( ( ( puts ( their ear ) ) up ) ( to ( a ( pregnant belly ) ) ) ) . ) ),(ROOT (S (NP (NN Someone)) (VP (VBZ puts) (NP (PRP$ their) (NN ear)) (PRT (RP up)) (PP (TO to) (NP (DT a) (JJ pregnant) (NN belly)))) (. .))) +1920,['contradiction'],234241682.jpg#3,contradiction,234241682.jpg#3r1c,Soccer players on a field from a distance.,( ( ( ( Soccer players ) ( on ( a field ) ) ) ( from ( a distance ) ) ) . ),(ROOT (NP (NP (JJ Soccer) (NNS players)) (PP (IN on) (NP (DT a) (NN field))) (PP (IN from) (NP (DT a) (NN distance))) (. .))),Soccer players are in a jacuzzi.,( ( Soccer players ) ( ( are ( in ( a jacuzzi ) ) ) . ) ),(ROOT (S (NP (NNP Soccer) (NNS players)) (VP (VBP are) (PP (IN in) (NP (DT a) (NN jacuzzi)))) (. .))) +1921,['neutral'],234241682.jpg#3,neutral,234241682.jpg#3r1n,Soccer players on a field from a distance.,( ( ( ( Soccer players ) ( on ( a field ) ) ) ( from ( a distance ) ) ) . ),(ROOT (NP (NP (JJ Soccer) (NNS players)) (PP (IN on) (NP (DT a) (NN field))) (PP (IN from) (NP (DT a) (NN distance))) (. .))),Soccer players are playing an unofficial match.,( ( Soccer players ) ( ( are ( playing ( an ( unofficial match ) ) ) ) . ) ),(ROOT (S (NP (NNP Soccer) (NNS players)) (VP (VBP are) (VP (VBG playing) (NP (DT an) (JJ unofficial) (NN match)))) (. .))) +1922,['entailment'],234241682.jpg#3,entailment,234241682.jpg#3r1e,Soccer players on a field from a distance.,( ( ( ( Soccer players ) ( on ( a field ) ) ) ( from ( a distance ) ) ) . ),(ROOT (NP (NP (JJ Soccer) (NNS players)) (PP (IN on) (NP (DT a) (NN field))) (PP (IN from) (NP (DT a) (NN distance))) (. .))),There are soccer players on the field.,( There ( ( are ( ( soccer players ) ( on ( the field ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NN soccer) (NNS players)) (PP (IN on) (NP (DT the) (NN field))))) (. .))) +1923,['contradiction'],2781967479.jpg#0,contradiction,2781967479.jpg#0r1c,Busy ChinaTown street corner where people are walking past an open front store.,( ( Busy ( ChinaTown ( street corner ) ) ) ( ( where ( people ( are ( walking ( past ( an ( open ( front store ) ) ) ) ) ) ) ) . ) ),(ROOT (FRAG (NP (NNP Busy) (NNP ChinaTown) (NN street) (NN corner)) (SBAR (WHADVP (WRB where)) (S (NP (NNS people)) (VP (VBP are) (VP (VBG walking) (PP (IN past) (NP (DT an) (JJ open) (NN front) (NN store))))))) (. .))),The people hang out in France.,( ( The people ) ( ( ( hang out ) ( in France ) ) . ) ),(ROOT (S (NP (DT The) (NNS people)) (VP (VBP hang) (PRT (RP out)) (PP (IN in) (NP (NNP France)))) (. .))) +1924,['entailment'],2781967479.jpg#0,entailment,2781967479.jpg#0r1e,Busy ChinaTown street corner where people are walking past an open front store.,( ( Busy ( ChinaTown ( street corner ) ) ) ( ( where ( people ( are ( walking ( past ( an ( open ( front store ) ) ) ) ) ) ) ) . ) ),(ROOT (FRAG (NP (NNP Busy) (NNP ChinaTown) (NN street) (NN corner)) (SBAR (WHADVP (WRB where)) (S (NP (NNS people)) (VP (VBP are) (VP (VBG walking) (PP (IN past) (NP (DT an) (JJ open) (NN front) (NN store))))))) (. .))),There are people in ChinaTown.,( There ( ( are ( people ( in ChinaTown ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (NNS people)) (PP (IN in) (NP (NNP ChinaTown))))) (. .))) +1925,"['neutral', 'neutral', 'contradiction', 'neutral', 'neutral']",2781967479.jpg#0,neutral,2781967479.jpg#0r1n,Busy ChinaTown street corner where people are walking past an open front store.,( ( Busy ( ChinaTown ( street corner ) ) ) ( ( where ( people ( are ( walking ( past ( an ( open ( front store ) ) ) ) ) ) ) ) . ) ),(ROOT (FRAG (NP (NNP Busy) (NNP ChinaTown) (NN street) (NN corner)) (SBAR (WHADVP (WRB where)) (S (NP (NNS people)) (VP (VBP are) (VP (VBG walking) (PP (IN past) (NP (DT an) (JJ open) (NN front) (NN store))))))) (. .))),There are 10 girls on the street.,( There ( ( are ( ( 10 girls ) ( on ( the street ) ) ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (CD 10) (NNS girls)) (PP (IN on) (NP (DT the) (NN street))))) (. .))) +1926,['entailment'],3246991821.jpg#2,entailment,3246991821.jpg#2r1e,A girl wearing a dress is blowing bubbles at a dock.,( ( ( A girl ) ( wearing ( a dress ) ) ) ( ( is ( ( blowing bubbles ) ( at ( a dock ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN girl)) (VP (VBG wearing) (NP (DT a) (NN dress)))) (VP (VBZ is) (VP (VBG blowing) (NP (NNS bubbles)) (PP (IN at) (NP (DT a) (NN dock))))) (. .))),A human wearing a dress.,( ( ( A human ) ( wearing ( a dress ) ) ) . ),(ROOT (NP (NP (DT A) (NN human)) (VP (VBG wearing) (NP (DT a) (NN dress))) (. .))) +1927,['contradiction'],3246991821.jpg#2,contradiction,3246991821.jpg#2r1c,A girl wearing a dress is blowing bubbles at a dock.,( ( ( A girl ) ( wearing ( a dress ) ) ) ( ( is ( ( blowing bubbles ) ( at ( a dock ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN girl)) (VP (VBG wearing) (NP (DT a) (NN dress)))) (VP (VBZ is) (VP (VBG blowing) (NP (NNS bubbles)) (PP (IN at) (NP (DT a) (NN dock))))) (. .))),A man wearing a dress at the dock.,( ( ( A man ) ( ( wearing ( a dress ) ) ( at ( the dock ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (NN dress)) (PP (IN at) (NP (DT the) (NN dock)))) (. .))) +1928,['neutral'],3246991821.jpg#2,neutral,3246991821.jpg#2r1n,A girl wearing a dress is blowing bubbles at a dock.,( ( ( A girl ) ( wearing ( a dress ) ) ) ( ( is ( ( blowing bubbles ) ( at ( a dock ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN girl)) (VP (VBG wearing) (NP (DT a) (NN dress)))) (VP (VBZ is) (VP (VBG blowing) (NP (NNS bubbles)) (PP (IN at) (NP (DT a) (NN dock))))) (. .))),A girl standing at the dock in Atlantic City.,( ( ( A girl ) ( standing ( at ( ( the dock ) ( in ( Atlantic City ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN girl)) (VP (VBG standing) (PP (IN at) (NP (NP (DT the) (NN dock)) (PP (IN in) (NP (NNP Atlantic) (NNP City)))))) (. .))) +1929,['entailment'],4807204813.jpg#0,entailment,4807204813.jpg#0r1e,A man wearing a blue shirt is sitting on a brick planter next to some paintings.,( ( ( A man ) ( wearing ( a ( blue shirt ) ) ) ) ( ( is ( ( sitting ( on ( a ( brick planter ) ) ) ) ( next ( to ( some paintings ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN brick) (NN planter))) (ADVP (JJ next) (PP (TO to) (NP (DT some) (NNS paintings)))))) (. .))),A man is sitting down.,( ( A man ) ( ( is ( sitting down ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PRT (RP down)))) (. .))) +1930,['contradiction'],4807204813.jpg#0,contradiction,4807204813.jpg#0r1c,A man wearing a blue shirt is sitting on a brick planter next to some paintings.,( ( ( A man ) ( wearing ( a ( blue shirt ) ) ) ) ( ( is ( ( sitting ( on ( a ( brick planter ) ) ) ) ( next ( to ( some paintings ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN brick) (NN planter))) (ADVP (JJ next) (PP (TO to) (NP (DT some) (NNS paintings)))))) (. .))),A man is walking down the street.,( ( A man ) ( ( is ( ( walking down ) ( the street ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG walking) (PRT (RP down)) (NP (DT the) (NN street)))) (. .))) +1931,"['neutral', 'entailment', 'neutral', 'neutral', 'entailment']",4807204813.jpg#0,neutral,4807204813.jpg#0r1n,A man wearing a blue shirt is sitting on a brick planter next to some paintings.,( ( ( A man ) ( wearing ( a ( blue shirt ) ) ) ) ( ( is ( ( sitting ( on ( a ( brick planter ) ) ) ) ( next ( to ( some paintings ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN man)) (VP (VBG wearing) (NP (DT a) (JJ blue) (NN shirt)))) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (DT a) (NN brick) (NN planter))) (ADVP (JJ next) (PP (TO to) (NP (DT some) (NNS paintings)))))) (. .))),A man is sitting on a planter admiring the art.,( ( A man ) ( ( is ( sitting ( on ( ( a planter ) ( admiring ( the art ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN man)) (VP (VBZ is) (VP (VBG sitting) (PP (IN on) (NP (NP (DT a) (NN planter)) (VP (VBG admiring) (NP (DT the) (NN art))))))) (. .))) +1932,['contradiction'],488408004.jpg#0,contradiction,488408004.jpg#0r1c,A child in formal clothing is walking along the edge of a stony area that is littered in places.,( ( ( A child ) ( in ( formal clothing ) ) ) ( ( is ( walking ( along ( ( the edge ) ( of ( ( a ( stony area ) ) ( that ( is ( littered ( in places ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN child)) (PP (IN in) (NP (JJ formal) (NN clothing)))) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (NP (DT the) (NN edge)) (PP (IN of) (NP (NP (DT a) (JJ stony) (NN area)) (SBAR (WHNP (WDT that)) (S (VP (VBZ is) (VP (VBN littered) (PP (IN in) (NP (NNS places))))))))))))) (. .))),The ground is pristine.,( ( The ground ) ( ( is pristine ) . ) ),(ROOT (S (NP (DT The) (NN ground)) (VP (VBZ is) (ADJP (JJ pristine))) (. .))) +1933,['entailment'],488408004.jpg#0,entailment,488408004.jpg#0r1e,A child in formal clothing is walking along the edge of a stony area that is littered in places.,( ( ( A child ) ( in ( formal clothing ) ) ) ( ( is ( walking ( along ( ( the edge ) ( of ( ( a ( stony area ) ) ( that ( is ( littered ( in places ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN child)) (PP (IN in) (NP (JJ formal) (NN clothing)))) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (NP (DT the) (NN edge)) (PP (IN of) (NP (NP (DT a) (JJ stony) (NN area)) (SBAR (WHNP (WDT that)) (S (VP (VBZ is) (VP (VBN littered) (PP (IN in) (NP (NNS places))))))))))))) (. .))),Someone is wearing formal clothes.,( Someone ( ( is ( wearing ( formal clothes ) ) ) . ) ),(ROOT (S (NP (NN Someone)) (VP (VBZ is) (VP (VBG wearing) (NP (JJ formal) (NNS clothes)))) (. .))) +1934,['neutral'],488408004.jpg#0,neutral,488408004.jpg#0r1n,A child in formal clothing is walking along the edge of a stony area that is littered in places.,( ( ( A child ) ( in ( formal clothing ) ) ) ( ( is ( walking ( along ( ( the edge ) ( of ( ( a ( stony area ) ) ( that ( is ( littered ( in places ) ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN child)) (PP (IN in) (NP (JJ formal) (NN clothing)))) (VP (VBZ is) (VP (VBG walking) (PP (IN along) (NP (NP (DT the) (NN edge)) (PP (IN of) (NP (NP (DT a) (JJ stony) (NN area)) (SBAR (WHNP (WDT that)) (S (VP (VBZ is) (VP (VBN littered) (PP (IN in) (NP (NNS places))))))))))))) (. .))),The child is wearing a hat.,( ( The child ) ( ( is ( wearing ( a hat ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBZ is) (VP (VBG wearing) (NP (DT a) (NN hat)))) (. .))) +1935,['entailment'],488408004.jpg#3,entailment,488408004.jpg#3r1e,A young boy wearing a light blue jacket walks across the brick patio.,( ( ( A ( young boy ) ) ( wearing ( a ( light ( blue jacket ) ) ) ) ) ( ( walks ( across ( the ( brick patio ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN boy)) (VP (VBG wearing) (NP (DT a) (JJ light) (JJ blue) (NN jacket)))) (VP (VBZ walks) (PP (IN across) (NP (DT the) (NN brick) (NN patio)))) (. .))),boy walks accross patio,( boy ( walks ( accross patio ) ) ),(ROOT (S (NP (NN boy)) (VP (VBZ walks) (NP (FW accross) (FW patio))))) +1936,['contradiction'],488408004.jpg#3,contradiction,488408004.jpg#3r1c,A young boy wearing a light blue jacket walks across the brick patio.,( ( ( A ( young boy ) ) ( wearing ( a ( light ( blue jacket ) ) ) ) ) ( ( walks ( across ( the ( brick patio ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN boy)) (VP (VBG wearing) (NP (DT a) (JJ light) (JJ blue) (NN jacket)))) (VP (VBZ walks) (PP (IN across) (NP (DT the) (NN brick) (NN patio)))) (. .))),girl sits on floor,( girl ( sits ( on floor ) ) ),(ROOT (S (NP (NN girl)) (VP (VBZ sits) (PP (IN on) (NP (NN floor)))))) +1937,['neutral'],488408004.jpg#3,neutral,488408004.jpg#3r1n,A young boy wearing a light blue jacket walks across the brick patio.,( ( ( A ( young boy ) ) ( wearing ( a ( light ( blue jacket ) ) ) ) ) ( ( walks ( across ( the ( brick patio ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN boy)) (VP (VBG wearing) (NP (DT a) (JJ light) (JJ blue) (NN jacket)))) (VP (VBZ walks) (PP (IN across) (NP (DT the) (NN brick) (NN patio)))) (. .))),boy walking home,( ( boy walking ) home ),(ROOT (FRAG (NP (NP (NN boy) (NN walking)) (ADVP (NN home))))) +1938,['neutral'],488408004.jpg#2,neutral,488408004.jpg#2r1n,A young boy with a blue coat makes a funny face as he walks towards the grass.,( ( ( A ( young boy ) ) ( with ( a ( blue coat ) ) ) ) ( ( ( makes ( a ( funny face ) ) ) ( as ( he ( walks ( towards ( the grass ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN boy)) (PP (IN with) (NP (DT a) (JJ blue) (NN coat)))) (VP (VBZ makes) (NP (DT a) (JJ funny) (NN face)) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ walks) (PP (IN towards) (NP (DT the) (NN grass))))))) (. .))),He was happy.,( He ( ( was happy ) . ) ),(ROOT (S (NP (PRP He)) (VP (VBD was) (ADJP (JJ happy))) (. .))) +1939,['entailment'],488408004.jpg#2,entailment,488408004.jpg#2r1e,A young boy with a blue coat makes a funny face as he walks towards the grass.,( ( ( A ( young boy ) ) ( with ( a ( blue coat ) ) ) ) ( ( ( makes ( a ( funny face ) ) ) ( as ( he ( walks ( towards ( the grass ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN boy)) (PP (IN with) (NP (DT a) (JJ blue) (NN coat)))) (VP (VBZ makes) (NP (DT a) (JJ funny) (NN face)) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ walks) (PP (IN towards) (NP (DT the) (NN grass))))))) (. .))),The child was walking near the grass making a funny face.,( ( The child ) ( ( was ( walking ( near ( ( the grass ) ( making ( a ( funny face ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN child)) (VP (VBD was) (VP (VBG walking) (PP (IN near) (NP (NP (DT the) (NN grass)) (VP (VBG making) (NP (DT a) (JJ funny) (NN face))))))) (. .))) +1940,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'entailment']",488408004.jpg#2,contradiction,488408004.jpg#2r1c,A young boy with a blue coat makes a funny face as he walks towards the grass.,( ( ( A ( young boy ) ) ( with ( a ( blue coat ) ) ) ) ( ( ( makes ( a ( funny face ) ) ) ( as ( he ( walks ( towards ( the grass ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ young) (NN boy)) (PP (IN with) (NP (DT a) (JJ blue) (NN coat)))) (VP (VBZ makes) (NP (DT a) (JJ funny) (NN face)) (SBAR (IN as) (S (NP (PRP he)) (VP (VBZ walks) (PP (IN towards) (NP (DT the) (NN grass))))))) (. .))),The man was walking near the grass making a funny face.,( ( The man ) ( ( was ( walking ( near ( ( the grass ) ( making ( a ( funny face ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBD was) (VP (VBG walking) (PP (IN near) (NP (NP (DT the) (NN grass)) (VP (VBG making) (NP (DT a) (JJ funny) (NN face))))))) (. .))) +1941,['contradiction'],488408004.jpg#4,contradiction,488408004.jpg#4r1c,A little boy with a blue jacket is making a sour face at the camera.,( ( ( A ( little boy ) ) ( with ( a ( blue jacket ) ) ) ) ( ( is ( ( making ( a ( sour face ) ) ) ( at ( the camera ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ little) (NN boy)) (PP (IN with) (NP (DT a) (JJ blue) (NN jacket)))) (VP (VBZ is) (VP (VBG making) (NP (DT a) (JJ sour) (NN face)) (PP (IN at) (NP (DT the) (NN camera))))) (. .))),The boy is smiling broadly.,( ( The boy ) ( ( is ( smiling broadly ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ is) (VP (VBG smiling) (ADVP (RB broadly)))) (. .))) +1942,['neutral'],488408004.jpg#4,neutral,488408004.jpg#4r1n,A little boy with a blue jacket is making a sour face at the camera.,( ( ( A ( little boy ) ) ( with ( a ( blue jacket ) ) ) ) ( ( is ( ( making ( a ( sour face ) ) ) ( at ( the camera ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ little) (NN boy)) (PP (IN with) (NP (DT a) (JJ blue) (NN jacket)))) (VP (VBZ is) (VP (VBG making) (NP (DT a) (JJ sour) (NN face)) (PP (IN at) (NP (DT the) (NN camera))))) (. .))),The little boy hates having his picture taken.,( ( The ( little boy ) ) ( ( hates ( ( having ( his picture ) ) taken ) ) . ) ),(ROOT (S (NP (DT The) (JJ little) (NN boy)) (VP (VBZ hates) (S (VP (VBG having) (NP (PRP$ his) (NN picture)) (VP (VBN taken))))) (. .))) +1943,['entailment'],488408004.jpg#4,entailment,488408004.jpg#4r1e,A little boy with a blue jacket is making a sour face at the camera.,( ( ( A ( little boy ) ) ( with ( a ( blue jacket ) ) ) ) ( ( is ( ( making ( a ( sour face ) ) ) ( at ( the camera ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (JJ little) (NN boy)) (PP (IN with) (NP (DT a) (JJ blue) (NN jacket)))) (VP (VBZ is) (VP (VBG making) (NP (DT a) (JJ sour) (NN face)) (PP (IN at) (NP (DT the) (NN camera))))) (. .))),The boy mugs for the camera.,( ( The boy ) ( ( mugs ( for ( the camera ) ) ) . ) ),(ROOT (S (NP (DT The) (NN boy)) (VP (VBZ mugs) (PP (IN for) (NP (DT the) (NN camera)))) (. .))) +1944,['contradiction'],3342450499.jpg#3,contradiction,3342450499.jpg#3r1c,People in a truck-full of sacks in a field full of sheep.,( ( ( People ( in ( a truck-full ) ) ) ( of ( sacks ( in ( ( a field ) ( full ( of sheep ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (PP (IN in) (NP (DT a) (NN truck-full))) (PP (IN of) (NP (NP (NNS sacks)) (PP (IN in) (NP (NP (DT a) (NN field)) (PP (JJ full) (IN of) (NP (NN sheep))))))) (. .))),Nobody in a truck,( Nobody ( in ( a truck ) ) ),(ROOT (NP (NP (NN Nobody)) (PP (IN in) (NP (DT a) (NN truck))))) +1945,['neutral'],3342450499.jpg#3,neutral,3342450499.jpg#3r1n,People in a truck-full of sacks in a field full of sheep.,( ( ( People ( in ( a truck-full ) ) ) ( of ( sacks ( in ( ( a field ) ( full ( of sheep ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (PP (IN in) (NP (DT a) (NN truck-full))) (PP (IN of) (NP (NP (NNS sacks)) (PP (IN in) (NP (NP (DT a) (NN field)) (PP (JJ full) (IN of) (NP (NN sheep))))))) (. .))),Tall humans in a truck,( ( Tall humans ) ( in ( a truck ) ) ),(ROOT (NP (NP (JJ Tall) (NNS humans)) (PP (IN in) (NP (DT a) (NN truck))))) +1946,['entailment'],3342450499.jpg#3,entailment,3342450499.jpg#3r1e,People in a truck-full of sacks in a field full of sheep.,( ( ( People ( in ( a truck-full ) ) ) ( of ( sacks ( in ( ( a field ) ( full ( of sheep ) ) ) ) ) ) ) . ),(ROOT (NP (NP (NNS People)) (PP (IN in) (NP (DT a) (NN truck-full))) (PP (IN of) (NP (NP (NNS sacks)) (PP (IN in) (NP (NP (DT a) (NN field)) (PP (JJ full) (IN of) (NP (NN sheep))))))) (. .))),Some humans in a truck,( ( Some humans ) ( in ( a truck ) ) ),(ROOT (NP (NP (DT Some) (NNS humans)) (PP (IN in) (NP (DT a) (NN truck))))) +1947,['neutral'],6979303317.jpg#4,neutral,6979303317.jpg#4r1n,Three construction workers posing with construction materials.,( ( ( Three ( construction workers ) ) ( posing ( with ( construction materials ) ) ) ) . ),(ROOT (NP (NP (CD Three) (NN construction) (NNS workers)) (VP (VBG posing) (PP (IN with) (NP (NN construction) (NNS materials)))) (. .))),The workers are getting their picture taken.,( ( The workers ) ( ( are ( getting ( ( their picture ) taken ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS workers)) (VP (VBP are) (VP (VBG getting) (NP (NP (PRP$ their) (NN picture)) (VP (VBN taken))))) (. .))) +1948,['entailment'],6979303317.jpg#4,entailment,6979303317.jpg#4r1e,Three construction workers posing with construction materials.,( ( ( Three ( construction workers ) ) ( posing ( with ( construction materials ) ) ) ) . ),(ROOT (NP (NP (CD Three) (NN construction) (NNS workers)) (VP (VBG posing) (PP (IN with) (NP (NN construction) (NNS materials)))) (. .))),The workers are standing still.,( ( The workers ) ( ( are ( standing still ) ) . ) ),(ROOT (S (NP (DT The) (NNS workers)) (VP (VBP are) (VP (VBG standing) (ADVP (RB still)))) (. .))) +1949,['contradiction'],6979303317.jpg#4,contradiction,6979303317.jpg#4r1c,Three construction workers posing with construction materials.,( ( ( Three ( construction workers ) ) ( posing ( with ( construction materials ) ) ) ) . ),(ROOT (NP (NP (CD Three) (NN construction) (NNS workers)) (VP (VBG posing) (PP (IN with) (NP (NN construction) (NNS materials)))) (. .))),The workers are doctors.,( ( The workers ) ( ( are doctors ) . ) ),(ROOT (S (NP (DT The) (NNS workers)) (VP (VBP are) (NP (NNS doctors))) (. .))) +1950,['entailment'],6979303317.jpg#2,entailment,6979303317.jpg#2r1e,Three people stand proudly by a truck stocked with building supplies in the street.,( ( Three people ) ( ( ( stand proudly ) ( by ( ( a truck ) ( stocked ( with ( ( building supplies ) ( in ( the street ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS people)) (VP (VBP stand) (ADVP (RB proudly)) (PP (IN by) (NP (NP (DT a) (NN truck)) (VP (VBN stocked) (PP (IN with) (NP (NP (NN building) (NNS supplies)) (PP (IN in) (NP (DT the) (NN street))))))))) (. .))),Peole stand by a building supply truck.,( Peole ( ( stand ( by ( a ( building ( supply truck ) ) ) ) ) . ) ),(ROOT (S (NP (NNP Peole)) (VP (VBP stand) (PP (IN by) (NP (DT a) (NN building) (NN supply) (NN truck)))) (. .))) +1951,['contradiction'],6979303317.jpg#2,contradiction,6979303317.jpg#2r1c,Three people stand proudly by a truck stocked with building supplies in the street.,( ( Three people ) ( ( ( stand proudly ) ( by ( ( a truck ) ( stocked ( with ( ( building supplies ) ( in ( the street ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS people)) (VP (VBP stand) (ADVP (RB proudly)) (PP (IN by) (NP (NP (DT a) (NN truck)) (VP (VBN stocked) (PP (IN with) (NP (NP (NN building) (NNS supplies)) (PP (IN in) (NP (DT the) (NN street))))))))) (. .))),A woman bowls a perfect game.,( ( A woman ) ( ( bowls ( a ( perfect game ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ bowls) (NP (DT a) (JJ perfect) (NN game))) (. .))) +1952,['neutral'],6979303317.jpg#2,neutral,6979303317.jpg#2r1n,Three people stand proudly by a truck stocked with building supplies in the street.,( ( Three people ) ( ( ( stand proudly ) ( by ( ( a truck ) ( stocked ( with ( ( building supplies ) ( in ( the street ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS people)) (VP (VBP stand) (ADVP (RB proudly)) (PP (IN by) (NP (NP (DT a) (NN truck)) (VP (VBN stocked) (PP (IN with) (NP (NP (NN building) (NNS supplies)) (PP (IN in) (NP (DT the) (NN street))))))))) (. .))),Habitat for Humanity prepares to build a house.,( ( Habitat ( for Humanity ) ) ( ( prepares ( to ( build ( a house ) ) ) ) . ) ),(ROOT (S (NP (NP (NN Habitat)) (PP (IN for) (NP (NNP Humanity)))) (VP (VBZ prepares) (S (VP (TO to) (VP (VB build) (NP (DT a) (NN house)))))) (. .))) +1953,['neutral'],6979303317.jpg#3,neutral,6979303317.jpg#3r1n,Three working men smile in front of a truck while holding construction equipment.,( ( Three ( working men ) ) ( ( smile ( in ( front ( of ( a ( truck ( while ( holding ( construction equipment ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (JJ working) (NNS men)) (VP (VBP smile) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN truck) (NN while) (VBG holding) (NN construction) (NN equipment)))))) (. .))),The three men are laughing at a joke.,( ( The ( three men ) ) ( ( are ( laughing ( at ( a joke ) ) ) ) . ) ),(ROOT (S (NP (DT The) (CD three) (NNS men)) (VP (VBP are) (VP (VBG laughing) (PP (IN at) (NP (DT a) (NN joke))))) (. .))) +1954,['contradiction'],6979303317.jpg#3,contradiction,6979303317.jpg#3r1c,Three working men smile in front of a truck while holding construction equipment.,( ( Three ( working men ) ) ( ( smile ( in ( front ( of ( a ( truck ( while ( holding ( construction equipment ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (JJ working) (NNS men)) (VP (VBP smile) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN truck) (NN while) (VBG holding) (NN construction) (NN equipment)))))) (. .))),There is no one working today.,( There ( ( ( is ( no one ) ) ( working today ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBZ is) (ADVP (RB no) (NP (CD one))) (VP (VBG working) (NP (NN today)))) (. .))) +1955,['entailment'],6979303317.jpg#3,entailment,6979303317.jpg#3r1e,Three working men smile in front of a truck while holding construction equipment.,( ( Three ( working men ) ) ( ( smile ( in ( front ( of ( a ( truck ( while ( holding ( construction equipment ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (JJ working) (NNS men)) (VP (VBP smile) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN truck) (NN while) (VBG holding) (NN construction) (NN equipment)))))) (. .))),There are three men working.,( There ( ( are ( ( three men ) working ) ) . ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (CD three) (NNS men)) (VP (VBG working)))) (. .))) +1956,['neutral'],6979303317.jpg#1,neutral,6979303317.jpg#1r1n,Three men are smiling and posing behind a truck loaded with various construction supplies.,( ( Three men ) ( ( are ( ( ( smiling and ) posing ) ( behind ( ( a truck ) ( loaded ( with ( various ( construction supplies ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (VP (VBG smiling) (CC and) (VBG posing) (PP (IN behind) (NP (NP (DT a) (NN truck)) (VP (VBN loaded) (PP (IN with) (NP (JJ various) (NN construction) (NNS supplies)))))))) (. .))),Three men are joyously smiling,( ( Three men ) ( ( are joyously ) smiling ) ),(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (ADVP (RB joyously)) (VP (VBG smiling))))) +1957,['contradiction'],6979303317.jpg#1,contradiction,6979303317.jpg#1r1c,Three men are smiling and posing behind a truck loaded with various construction supplies.,( ( Three men ) ( ( are ( ( ( smiling and ) posing ) ( behind ( ( a truck ) ( loaded ( with ( various ( construction supplies ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (VP (VBG smiling) (CC and) (VBG posing) (PP (IN behind) (NP (NP (DT a) (NN truck)) (VP (VBN loaded) (PP (IN with) (NP (JJ various) (NN construction) (NNS supplies)))))))) (. .))),Three men are not smiling,( ( Three men ) ( ( are not ) smiling ) ),(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (RB not) (VP (VBG smiling))))) +1958,['entailment'],6979303317.jpg#1,entailment,6979303317.jpg#1r1e,Three men are smiling and posing behind a truck loaded with various construction supplies.,( ( Three men ) ( ( are ( ( ( smiling and ) posing ) ( behind ( ( a truck ) ( loaded ( with ( various ( construction supplies ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (VP (VBG smiling) (CC and) (VBG posing) (PP (IN behind) (NP (NP (DT a) (NN truck)) (VP (VBN loaded) (PP (IN with) (NP (JJ various) (NN construction) (NNS supplies)))))))) (. .))),Three men are smiling,( ( Three men ) ( are smiling ) ),(ROOT (S (NP (CD Three) (NNS men)) (VP (VBP are) (VP (VBG smiling))))) +1959,"['neutral', 'neutral', 'neutral', 'neutral', 'entailment']",2781967479.jpg#1,neutral,2781967479.jpg#1r1n,A view of a marketplace full of people in an asian country.,( ( ( ( A view ) ( of ( a marketplace ) ) ) ( full ( of ( people ( in ( an ( asian country ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN view)) (PP (IN of) (NP (DT a) (NN marketplace))) (PP (JJ full) (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (DT an) (NN asian) (NN country))))) (. .))),A busy Asian Market where people are doing business.,( ( ( A ( busy ( Asian Market ) ) ) ( where ( people ( are ( doing business ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ busy) (JJ Asian) (NN Market)) (SBAR (WHADVP (WRB where)) (S (NP (NNS people)) (VP (VBP are) (VP (VBG doing) (NP (NN business)))))) (. .))) +1960,['contradiction'],2781967479.jpg#1,contradiction,2781967479.jpg#1r1c,A view of a marketplace full of people in an asian country.,( ( ( ( A view ) ( of ( a marketplace ) ) ) ( full ( of ( people ( in ( an ( asian country ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN view)) (PP (IN of) (NP (DT a) (NN marketplace))) (PP (JJ full) (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (DT an) (NN asian) (NN country))))) (. .))),A lonely place in East Africa.,( ( ( A ( lonely place ) ) ( in ( East Africa ) ) ) . ),(ROOT (NP (NP (DT A) (JJ lonely) (NN place)) (PP (IN in) (NP (NNP East) (NNP Africa))) (. .))) +1961,['entailment'],2781967479.jpg#1,entailment,2781967479.jpg#1r1e,A view of a marketplace full of people in an asian country.,( ( ( ( A view ) ( of ( a marketplace ) ) ) ( full ( of ( people ( in ( an ( asian country ) ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN view)) (PP (IN of) (NP (DT a) (NN marketplace))) (PP (JJ full) (IN of) (NP (NP (NNS people)) (PP (IN in) (NP (DT an) (NN asian) (NN country))))) (. .))),A view of a crowed place in an asian country.,( ( ( ( A view ) ( of ( a ( crowed place ) ) ) ) ( in ( an ( asian country ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN view)) (PP (IN of) (NP (DT a) (JJ crowed) (NN place))) (PP (IN in) (NP (DT an) (NN asian) (NN country))) (. .))) +1962,['entailment'],462962059.jpg#3,entailment,462962059.jpg#3r1e,A woman in blue jeans and a dark jacket walks in front of a building.,( ( ( A woman ) ( in ( ( ( blue jeans ) and ) ( a ( dark jacket ) ) ) ) ) ( ( walks ( in ( front ( of ( a building ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (JJ blue) (NNS jeans)) (CC and) (NP (DT a) (JJ dark) (NN jacket))))) (VP (VBZ walks) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN building)))))) (. .))),A woman walked pasted the front of a building.,( ( A woman ) ( ( walked ( pasted ( ( the front ) ( of ( a building ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBD walked) (SBAR (S (VP (VBD pasted) (NP (NP (DT the) (NN front)) (PP (IN of) (NP (DT a) (NN building)))))))) (. .))) +1963,['neutral'],462962059.jpg#3,neutral,462962059.jpg#3r1n,A woman in blue jeans and a dark jacket walks in front of a building.,( ( ( A woman ) ( in ( ( ( blue jeans ) and ) ( a ( dark jacket ) ) ) ) ) ( ( walks ( in ( front ( of ( a building ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (JJ blue) (NNS jeans)) (CC and) (NP (DT a) (JJ dark) (NN jacket))))) (VP (VBZ walks) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN building)))))) (. .))),The woman is headed to work.,( ( The woman ) ( ( is ( headed ( to work ) ) ) . ) ),(ROOT (S (NP (DT The) (NN woman)) (VP (VBZ is) (VP (VBN headed) (S (VP (TO to) (VP (VB work)))))) (. .))) +1964,['contradiction'],462962059.jpg#3,contradiction,462962059.jpg#3r1c,A woman in blue jeans and a dark jacket walks in front of a building.,( ( ( A woman ) ( in ( ( ( blue jeans ) and ) ( a ( dark jacket ) ) ) ) ) ( ( walks ( in ( front ( of ( a building ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN woman)) (PP (IN in) (NP (NP (JJ blue) (NNS jeans)) (CC and) (NP (DT a) (JJ dark) (NN jacket))))) (VP (VBZ walks) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN building)))))) (. .))),THe woman is wearing pink shorts and blue jacket.,( ( THe woman ) ( ( is ( wearing ( ( ( pink shorts ) and ) ( blue jacket ) ) ) ) . ) ),(ROOT (S (NP (NNP THe) (NN woman)) (VP (VBZ is) (VP (VBG wearing) (NP (NP (JJ pink) (NNS shorts)) (CC and) (NP (JJ blue) (NN jacket))))) (. .))) +1965,['entailment'],3631986552.jpg#0,entailment,3631986552.jpg#0r1e,The surfer catches a big wave but stays on his board.,( ( The surfer ) ( ( ( ( catches ( a ( big wave ) ) ) but ) ( stays ( on ( his board ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN surfer)) (VP (VP (VBZ catches) (NP (DT a) (JJ big) (NN wave))) (CC but) (VP (VBZ stays) (PP (IN on) (NP (PRP$ his) (NN board))))) (. .))),The person is surfing.,( ( The person ) ( ( is surfing ) . ) ),(ROOT (S (NP (DT The) (NN person)) (VP (VBZ is) (VP (VBG surfing))) (. .))) +1966,['neutral'],3631986552.jpg#0,neutral,3631986552.jpg#0r1n,The surfer catches a big wave but stays on his board.,( ( The surfer ) ( ( ( ( catches ( a ( big wave ) ) ) but ) ( stays ( on ( his board ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN surfer)) (VP (VP (VBZ catches) (NP (DT a) (JJ big) (NN wave))) (CC but) (VP (VBZ stays) (PP (IN on) (NP (PRP$ his) (NN board))))) (. .))),The surfer is in the ocean.,( ( The surfer ) ( ( is ( in ( the ocean ) ) ) . ) ),(ROOT (S (NP (DT The) (NN surfer)) (VP (VBZ is) (PP (IN in) (NP (DT the) (NN ocean)))) (. .))) +1967,['contradiction'],3631986552.jpg#0,contradiction,3631986552.jpg#0r1c,The surfer catches a big wave but stays on his board.,( ( The surfer ) ( ( ( ( catches ( a ( big wave ) ) ) but ) ( stays ( on ( his board ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN surfer)) (VP (VP (VBZ catches) (NP (DT a) (JJ big) (NN wave))) (CC but) (VP (VBZ stays) (PP (IN on) (NP (PRP$ his) (NN board))))) (. .))),The person is skating.,( ( The person ) ( ( is skating ) . ) ),(ROOT (S (NP (DT The) (NN person)) (VP (VBZ is) (ADJP (JJ skating))) (. .))) +1968,['entailment'],2306186887.jpg#4,entailment,2306186887.jpg#4r1e,The dogs run and play with a red ball.,( ( The dogs ) ( ( ( ( run and ) play ) ( with ( a ( red ball ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS dogs)) (VP (VBP run) (CC and) (VBP play) (PP (IN with) (NP (DT a) (JJ red) (NN ball)))) (. .))),The dogs are playing with a ball.,( ( The dogs ) ( ( are ( playing ( with ( a ball ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS dogs)) (VP (VBP are) (VP (VBG playing) (PP (IN with) (NP (DT a) (NN ball))))) (. .))) +1969,['neutral'],2306186887.jpg#4,neutral,2306186887.jpg#4r1n,The dogs run and play with a red ball.,( ( The dogs ) ( ( ( ( run and ) play ) ( with ( a ( red ball ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS dogs)) (VP (VBP run) (CC and) (VBP play) (PP (IN with) (NP (DT a) (JJ red) (NN ball)))) (. .))),The dogs are playing catch.,( ( The dogs ) ( ( are ( playing catch ) ) . ) ),(ROOT (S (NP (DT The) (NNS dogs)) (VP (VBP are) (VP (VBG playing) (NP (VB catch)))) (. .))) +1970,['contradiction'],2306186887.jpg#4,contradiction,2306186887.jpg#4r1c,The dogs run and play with a red ball.,( ( The dogs ) ( ( ( ( run and ) play ) ( with ( a ( red ball ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NNS dogs)) (VP (VBP run) (CC and) (VBP play) (PP (IN with) (NP (DT a) (JJ red) (NN ball)))) (. .))),The ball is blue.,( ( The ball ) ( ( is blue ) . ) ),(ROOT (S (NP (DT The) (NN ball)) (VP (VBZ is) (ADJP (JJ blue))) (. .))) +1971,['neutral'],557601144.jpg#4,neutral,557601144.jpg#4r1n,A white dog running in the backyard.,( ( ( A ( white dog ) ) ( running ( in ( the backyard ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ white) (NN dog)) (VP (VBG running) (PP (IN in) (NP (DT the) (NN backyard)))) (. .))),The dog is chasing a stick.,( ( The dog ) ( ( is ( chasing ( a stick ) ) ) . ) ),(ROOT (S (NP (DT The) (NN dog)) (VP (VBZ is) (VP (VBG chasing) (NP (DT a) (NN stick)))) (. .))) +1972,['entailment'],557601144.jpg#4,entailment,557601144.jpg#4r1e,A white dog running in the backyard.,( ( ( A ( white dog ) ) ( running ( in ( the backyard ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ white) (NN dog)) (VP (VBG running) (PP (IN in) (NP (DT the) (NN backyard)))) (. .))),The dog is running.,( ( The dog ) ( ( is running ) . ) ),(ROOT (S (NP (DT The) (NN dog)) (VP (VBZ is) (VP (VBG running))) (. .))) +1973,"['contradiction', 'contradiction', 'contradiction', 'contradiction', 'contradiction']",557601144.jpg#4,contradiction,557601144.jpg#4r1c,A white dog running in the backyard.,( ( ( A ( white dog ) ) ( running ( in ( the backyard ) ) ) ) . ),(ROOT (NP (NP (DT A) (JJ white) (NN dog)) (VP (VBG running) (PP (IN in) (NP (DT the) (NN backyard)))) (. .))),The dog is sleeping.,( ( The dog ) ( ( is sleeping ) . ) ),(ROOT (S (NP (DT The) (NN dog)) (VP (VBZ is) (VP (VBG sleeping))) (. .))) +1974,['contradiction'],4357695000.jpg#4,contradiction,4357695000.jpg#4r1c,A woman wearing orange looking upward.,( ( ( A woman ) ( wearing ( orange ( looking upward ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (NP (NN orange)) (VP (VBG looking) (ADVP (RB upward))))) (. .))),A woman gazes at her shoes,( ( A woman ) ( gazes ( at ( her shoes ) ) ) ),(ROOT (NP (NP (DT A) (NN woman)) (NP (NP (NNS gazes)) (PP (IN at) (NP (PRP$ her) (NNS shoes)))))) +1975,['entailment'],4357695000.jpg#4,entailment,4357695000.jpg#4r1e,A woman wearing orange looking upward.,( ( ( A woman ) ( wearing ( orange ( looking upward ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (NP (NN orange)) (VP (VBG looking) (ADVP (RB upward))))) (. .))),A woman gazes skyward,( ( A woman ) ( gazes skyward ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ gazes) (ADVP (RB skyward))))) +1976,['neutral'],4357695000.jpg#4,neutral,4357695000.jpg#4r1n,A woman wearing orange looking upward.,( ( ( A woman ) ( wearing ( orange ( looking upward ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN woman)) (VP (VBG wearing) (NP (NP (NN orange)) (VP (VBG looking) (ADVP (RB upward))))) (. .))),A woman looks at an airplane overhead,( ( A woman ) ( looks ( at ( an ( airplane overhead ) ) ) ) ),(ROOT (S (NP (DT A) (NN woman)) (VP (VBZ looks) (PP (IN at) (NP (DT an) (NN airplane) (NN overhead)))))) +1977,['contradiction'],557601144.jpg#1,contradiction,557601144.jpg#1r1c,Gray dog running down pavement toward laundry line in courtyard.,( ( ( Gray dog ) ( ( ( running down ) pavement ) ( toward ( ( laundry line ) ( in courtyard ) ) ) ) ) . ),(ROOT (NP (NP (NNP Gray) (NN dog)) (VP (VBG running) (PRT (RP down)) (NP (NN pavement)) (PP (IN toward) (NP (NP (NN laundry) (NN line)) (PP (IN in) (NP (NN courtyard)))))) (. .))),A dog is stuck in a tree.,( ( A dog ) ( ( is ( stuck ( in ( a tree ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBN stuck) (PP (IN in) (NP (DT a) (NN tree))))) (. .))) +1978,['neutral'],557601144.jpg#1,neutral,557601144.jpg#1r1n,Gray dog running down pavement toward laundry line in courtyard.,( ( ( Gray dog ) ( ( ( running down ) pavement ) ( toward ( ( laundry line ) ( in courtyard ) ) ) ) ) . ),(ROOT (NP (NP (NNP Gray) (NN dog)) (VP (VBG running) (PRT (RP down)) (NP (NN pavement)) (PP (IN toward) (NP (NP (NN laundry) (NN line)) (PP (IN in) (NP (NN courtyard)))))) (. .))),A dog is chasing another dog.,( ( A dog ) ( ( is ( chasing ( another dog ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG chasing) (NP (DT another) (NN dog)))) (. .))) +1979,['entailment'],557601144.jpg#1,entailment,557601144.jpg#1r1e,Gray dog running down pavement toward laundry line in courtyard.,( ( ( Gray dog ) ( ( ( running down ) pavement ) ( toward ( ( laundry line ) ( in courtyard ) ) ) ) ) . ),(ROOT (NP (NP (NNP Gray) (NN dog)) (VP (VBG running) (PRT (RP down)) (NP (NN pavement)) (PP (IN toward) (NP (NP (NN laundry) (NN line)) (PP (IN in) (NP (NN courtyard)))))) (. .))),A dog is running outdoors.,( ( A dog ) ( ( is ( running outdoors ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG running) (ADVP (RB outdoors)))) (. .))) +1980,['neutral'],557601144.jpg#3,neutral,557601144.jpg#3r1n,A dog is chasing a ball in a backyard.,( ( A dog ) ( ( is ( chasing ( ( a ball ) ( in ( a backyard ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG chasing) (NP (NP (DT a) (NN ball)) (PP (IN in) (NP (DT a) (NN backyard)))))) (. .))),A cocker spaniel is playing in the grass.,( ( A ( cocker spaniel ) ) ( ( is ( playing ( in ( the grass ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN cocker) (NN spaniel)) (VP (VBZ is) (VP (VBG playing) (PP (IN in) (NP (DT the) (NN grass))))) (. .))) +1981,['contradiction'],557601144.jpg#3,contradiction,557601144.jpg#3r1c,A dog is chasing a ball in a backyard.,( ( A dog ) ( ( is ( chasing ( ( a ball ) ( in ( a backyard ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG chasing) (NP (NP (DT a) (NN ball)) (PP (IN in) (NP (DT a) (NN backyard)))))) (. .))),A cat is playing with yarn in the kitchen.,( ( A cat ) ( ( is ( playing ( with ( yarn ( in ( the kitchen ) ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN cat)) (VP (VBZ is) (VP (VBG playing) (PP (IN with) (NP (NP (NN yarn)) (PP (IN in) (NP (DT the) (NN kitchen))))))) (. .))) +1982,['entailment'],557601144.jpg#3,entailment,557601144.jpg#3r1e,A dog is chasing a ball in a backyard.,( ( A dog ) ( ( is ( chasing ( ( a ball ) ( in ( a backyard ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG chasing) (NP (NP (DT a) (NN ball)) (PP (IN in) (NP (DT a) (NN backyard)))))) (. .))),A dog is playing in the grass.,( ( A dog ) ( ( is ( playing ( in ( the grass ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN dog)) (VP (VBZ is) (VP (VBG playing) (PP (IN in) (NP (DT the) (NN grass))))) (. .))) +1983,['neutral'],480505313.jpg#2,neutral,480505313.jpg#2r1n,An older couple posing in front of a fountain for a picture,( ( ( An ( older couple ) ) ( posing ( in front ) ) ) ( of ( ( a fountain ) ( for ( a picture ) ) ) ) ),(ROOT (NP (NP (NP (DT An) (JJR older) (NN couple)) (VP (VBG posing) (PP (IN in) (NP (NN front))))) (PP (IN of) (NP (NP (DT a) (NN fountain)) (PP (IN for) (NP (DT a) (NN picture))))))),A couple taking pictures while on vacation,( A ( couple ( ( taking pictures ) ( while ( on vacation ) ) ) ) ),(ROOT (FRAG (NP (DT A) (NN couple) (S (VP (VBG taking) (NP (NNS pictures)) (X (IN while) (PP (IN on) (NP (NN vacation))))))))) +1984,['entailment'],480505313.jpg#2,entailment,480505313.jpg#2r1e,An older couple posing in front of a fountain for a picture,( ( ( An ( older couple ) ) ( posing ( in front ) ) ) ( of ( ( a fountain ) ( for ( a picture ) ) ) ) ),(ROOT (NP (NP (NP (DT An) (JJR older) (NN couple)) (VP (VBG posing) (PP (IN in) (NP (NN front))))) (PP (IN of) (NP (NP (DT a) (NN fountain)) (PP (IN for) (NP (DT a) (NN picture))))))),A couple taking a picture,( A ( couple ( taking ( a picture ) ) ) ),(ROOT (FRAG (NP (DT A) (NN couple) (S (VP (VBG taking) (NP (DT a) (NN picture))))))) +1985,['contradiction'],480505313.jpg#2,contradiction,480505313.jpg#2r1c,An older couple posing in front of a fountain for a picture,( ( ( An ( older couple ) ) ( posing ( in front ) ) ) ( of ( ( a fountain ) ( for ( a picture ) ) ) ) ),(ROOT (NP (NP (NP (DT An) (JJR older) (NN couple)) (VP (VBG posing) (PP (IN in) (NP (NN front))))) (PP (IN of) (NP (NP (DT a) (NN fountain)) (PP (IN for) (NP (DT a) (NN picture))))))),A couple sleeping in a hotel room,( ( A ( couple sleeping ) ) ( in ( a ( hotel room ) ) ) ),(ROOT (NP (NP (DT A) (NN couple) (NN sleeping)) (PP (IN in) (NP (DT a) (NN hotel) (NN room))))) +1986,['entailment'],480505313.jpg#3,entailment,480505313.jpg#3r1e,Older couple posing for a picture in front of a fountain.,( ( ( Older couple ) ( posing ( for ( ( a picture ) ( in ( front ( of ( a fountain ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (JJR Older) (NN couple)) (VP (VBG posing) (PP (IN for) (NP (NP (DT a) (NN picture)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN fountain)))))))) (. .))),An couple is outside.,( ( An couple ) ( ( is outside ) . ) ),(ROOT (S (NP (DT An) (NN couple)) (VP (VBZ is) (ADVP (RB outside))) (. .))) +1987,['contradiction'],480505313.jpg#3,contradiction,480505313.jpg#3r1c,Older couple posing for a picture in front of a fountain.,( ( ( Older couple ) ( posing ( for ( ( a picture ) ( in ( front ( of ( a fountain ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (JJR Older) (NN couple)) (VP (VBG posing) (PP (IN for) (NP (NP (DT a) (NN picture)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN fountain)))))))) (. .))),An older couple are inside.,( ( An ( older couple ) ) ( ( are inside ) . ) ),(ROOT (S (NP (DT An) (JJR older) (NN couple)) (VP (VBP are) (ADVP (RB inside))) (. .))) +1988,['neutral'],480505313.jpg#3,neutral,480505313.jpg#3r1n,Older couple posing for a picture in front of a fountain.,( ( ( Older couple ) ( posing ( for ( ( a picture ) ( in ( front ( of ( a fountain ) ) ) ) ) ) ) ) . ),(ROOT (NP (NP (JJR Older) (NN couple)) (VP (VBG posing) (PP (IN for) (NP (NP (DT a) (NN picture)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN fountain)))))))) (. .))),Two people are at a park.,( ( Two people ) ( ( are ( at ( a park ) ) ) . ) ),(ROOT (S (NP (CD Two) (NNS people)) (VP (VBP are) (PP (IN at) (NP (DT a) (NN park)))) (. .))) +1989,['entailment'],480505313.jpg#0,entailment,480505313.jpg#0r1e,The parents of the younger male are posing for a picture in front of a water fountain.,( ( ( The parents ) ( of ( the ( younger male ) ) ) ) ( ( are ( posing ( for ( ( a picture ) ( in ( front ( of ( a ( water fountain ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NNS parents)) (PP (IN of) (NP (DT the) (JJR younger) (NN male)))) (VP (VBP are) (VP (VBG posing) (PP (IN for) (NP (NP (DT a) (NN picture)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN water) (NN fountain))))))))) (. .))),A photographer takes a picture of the boy's parents by the fountain.,( ( A photographer ) ( ( ( takes ( ( a picture ) ( of ( ( the ( boy 's ) ) parents ) ) ) ) ( by ( the fountain ) ) ) . ) ),(ROOT (S (NP (DT A) (NN photographer)) (VP (VBZ takes) (NP (NP (DT a) (NN picture)) (PP (IN of) (NP (NP (DT the) (NN boy) (POS 's)) (NNS parents)))) (PP (IN by) (NP (DT the) (NN fountain)))) (. .))) +1990,['contradiction'],480505313.jpg#0,contradiction,480505313.jpg#0r1c,The parents of the younger male are posing for a picture in front of a water fountain.,( ( ( The parents ) ( of ( the ( younger male ) ) ) ) ( ( are ( posing ( for ( ( a picture ) ( in ( front ( of ( a ( water fountain ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NNS parents)) (PP (IN of) (NP (DT the) (JJR younger) (NN male)))) (VP (VBP are) (VP (VBG posing) (PP (IN for) (NP (NP (DT a) (NN picture)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN water) (NN fountain))))))))) (. .))),A girl and her parents sit by the fountain.,( ( ( ( A girl ) and ) ( her parents ) ) ( ( sit ( by ( the fountain ) ) ) . ) ),(ROOT (S (NP (NP (DT A) (NN girl)) (CC and) (NP (PRP$ her) (NNS parents))) (VP (VBP sit) (PP (IN by) (NP (DT the) (NN fountain)))) (. .))) +1991,['neutral'],480505313.jpg#0,neutral,480505313.jpg#0r1n,The parents of the younger male are posing for a picture in front of a water fountain.,( ( ( The parents ) ( of ( the ( younger male ) ) ) ) ( ( are ( posing ( for ( ( a picture ) ( in ( front ( of ( a ( water fountain ) ) ) ) ) ) ) ) ) . ) ),(ROOT (S (NP (NP (DT The) (NNS parents)) (PP (IN of) (NP (DT the) (JJR younger) (NN male)))) (VP (VBP are) (VP (VBG posing) (PP (IN for) (NP (NP (DT a) (NN picture)) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN water) (NN fountain))))))))) (. .))),A couple has their photo taken outdoors.,( ( A couple ) ( ( has ( ( their photo ) ( taken outdoors ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBZ has) (NP (NP (PRP$ their) (NN photo)) (VP (VBN taken) (ADVP (RB outdoors))))) (. .))) +1992,['neutral'],4161413089.jpg#2,neutral,4161413089.jpg#2r1n,A man and woman watching two kids while the man holds a balloon.,( ( ( A ( ( man and ) woman ) ) ( ( watching ( two kids ) ) ( while ( ( the man ) ( holds ( a balloon ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man) (CC and) (NN woman)) (VP (VBG watching) (NP (CD two) (NNS kids)) (SBAR (IN while) (S (NP (DT the) (NN man)) (VP (VBZ holds) (NP (DT a) (NN balloon)))))) (. .))),The man is holding a red balloon.,( ( The man ) ( ( is ( holding ( a ( red balloon ) ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG holding) (NP (DT a) (JJ red) (NN balloon)))) (. .))) +1993,['contradiction'],4161413089.jpg#2,contradiction,4161413089.jpg#2r1c,A man and woman watching two kids while the man holds a balloon.,( ( ( A ( ( man and ) woman ) ) ( ( watching ( two kids ) ) ( while ( ( the man ) ( holds ( a balloon ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man) (CC and) (NN woman)) (VP (VBG watching) (NP (CD two) (NNS kids)) (SBAR (IN while) (S (NP (DT the) (NN man)) (VP (VBZ holds) (NP (DT a) (NN balloon)))))) (. .))),The man is carrying a child.,( ( The man ) ( ( is ( carrying ( a child ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG carrying) (NP (DT a) (NN child)))) (. .))) +1994,"['entailment', 'entailment', 'entailment', 'entailment', 'entailment']",4161413089.jpg#2,entailment,4161413089.jpg#2r1e,A man and woman watching two kids while the man holds a balloon.,( ( ( A ( ( man and ) woman ) ) ( ( watching ( two kids ) ) ( while ( ( the man ) ( holds ( a balloon ) ) ) ) ) ) . ),(ROOT (NP (NP (DT A) (NN man) (CC and) (NN woman)) (VP (VBG watching) (NP (CD two) (NNS kids)) (SBAR (IN while) (S (NP (DT the) (NN man)) (VP (VBZ holds) (NP (DT a) (NN balloon)))))) (. .))),The man is holding a balloon.,( ( The man ) ( ( is ( holding ( a balloon ) ) ) . ) ),(ROOT (S (NP (DT The) (NN man)) (VP (VBZ is) (VP (VBG holding) (NP (DT a) (NN balloon)))) (. .))) +1995,['neutral'],4509482298.jpg#4,neutral,4509482298.jpg#4r1n,A group of people sitting at some sort of gathering.,( ( ( ( A group ) ( of people ) ) ( sitting ( at ( ( some sort ) ( of gathering ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG sitting) (PP (IN at) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN gathering)))))) (. .))),the people are laughing and talking,( ( the people ) ( are ( ( laughing and ) talking ) ) ),(ROOT (S (NP (DT the) (NNS people)) (VP (VBP are) (VP (VBG laughing) (CC and) (VBG talking))))) +1996,['entailment'],4509482298.jpg#4,entailment,4509482298.jpg#4r1e,A group of people sitting at some sort of gathering.,( ( ( ( A group ) ( of people ) ) ( sitting ( at ( ( some sort ) ( of gathering ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG sitting) (PP (IN at) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN gathering)))))) (. .))),people are together,( people ( are together ) ),(ROOT (S (NP (NNS people)) (VP (VBP are) (ADJP (RB together))))) +1997,['contradiction'],4509482298.jpg#4,contradiction,4509482298.jpg#4r1c,A group of people sitting at some sort of gathering.,( ( ( ( A group ) ( of people ) ) ( sitting ( at ( ( some sort ) ( of gathering ) ) ) ) ) . ),(ROOT (NP (NP (NP (DT A) (NN group)) (PP (IN of) (NP (NNS people)))) (VP (VBG sitting) (PP (IN at) (NP (NP (DT some) (NN sort)) (PP (IN of) (NP (NN gathering)))))) (. .))),the woman sat at the table alone,( ( the woman ) ( ( sat ( at ( the table ) ) ) alone ) ),(ROOT (S (NP (DT the) (NN woman)) (VP (VBD sat) (PP (IN at) (NP (DT the) (NN table))) (ADVP (RB alone))))) +1998,['entailment'],480505313.jpg#4,entailment,480505313.jpg#4r1e,A couple pose in front of a fountain.,( ( A couple ) ( ( pose ( in ( front ( of ( a fountain ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP pose) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN fountain)))))) (. .))),There are two people in this picture,( There ( are ( ( two people ) ( in ( this picture ) ) ) ) ),(ROOT (S (NP (EX There)) (VP (VBP are) (NP (NP (CD two) (NNS people)) (PP (IN in) (NP (DT this) (NN picture))))))) +1999,['neutral'],480505313.jpg#4,neutral,480505313.jpg#4r1n,A couple pose in front of a fountain.,( ( A couple ) ( ( pose ( in ( front ( of ( a fountain ) ) ) ) ) . ) ),(ROOT (S (NP (DT A) (NN couple)) (VP (VBP pose) (PP (IN in) (NP (NP (NN front)) (PP (IN of) (NP (DT a) (NN fountain)))))) (. .))),They are in Arizona on vacation,( They ( are ( in ( Arizona ( on vacation ) ) ) ) ),(ROOT (S (NP (PRP They)) (VP (VBP are) (PP (IN in) (NP (NP (NNP Arizona)) (PP (IN on) (NP (NN vacation)))))))) From edb02b8bc92b2bc2ffde1629d005d17fc555ba7d Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Tue, 12 Jul 2022 09:35:44 -0700 Subject: [PATCH 15/15] migrates Azure examples from openai-python library --- examples/azure/embeddings.ipynb | 196 +++++++++++++ examples/azure/finetuning.ipynb | 475 ++++++++++++++++++++++++++++++++ 2 files changed, 671 insertions(+) create mode 100644 examples/azure/embeddings.ipynb create mode 100644 examples/azure/finetuning.ipynb diff --git a/examples/azure/embeddings.ipynb b/examples/azure/embeddings.ipynb new file mode 100644 index 00000000..f008a086 --- /dev/null +++ b/examples/azure/embeddings.ipynb @@ -0,0 +1,196 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Azure embeddings example\n", + "In this example we'll try to go over all operations for embeddings that can be done using the Azure endpoints. \\\n", + "This example focuses on finetuning but touches on the majority of operations that are also available using the API. This example is meant to be a quick way of showing simple operations and is not meant as a tutorial." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import openai\n", + "from openai import cli" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup\n", + "In the following section the endpoint and key need to be set up of the next sections to work. \\\n", + "Please go to https://portal.azure.com, find your resource and then under \"Resource Management\" -> \"Keys and Endpoints\" look for the \"Endpoint\" value and one of the Keys. They will act as api_base and api_key in the code below." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "openai.api_key = '' # Please add your api key here\n", + "openai.api_base = '' # Please add your endpoint here\n", + "\n", + "openai.api_type = 'azure'\n", + "openai.api_version = '2022-03-01-preview' # this may change in the future" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Deployments\n", + "In this section we are going to create a deployment using the finetune model that we just adapted and then used the deployment to create a simple completion operation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Deployments: Create Manually\n", + "Let's create a deployment using the text-similarity-curie-001 engine. You can create a new deployment by going to your Resource in your portal under \"Resource Management\" -> \"Deployments\"." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### (Optional) Deployments: Create Programatically\n", + "We can also create a deployment using code:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "model = \"text-similarity-curie-001\"\n", + "\n", + "# Now let's create the deployment\n", + "print(f'Creating a new deployment with model: {model}')\n", + "result = openai.Deployment.create(model=model, scale_settings={\"scale_type\":\"manual\", \"capacity\": 1})\n", + "deployment_id = result[\"id\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### (Optional) Deployments: Retrieving\n", + "Now let's check the status of the newly created deployment" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(f'Checking for deployment status.')\n", + "resp = openai.Deployment.retrieve(id=deployment_id)\n", + "status = resp[\"status\"]\n", + "print(f'Deployment {deployment_id} is with status: {status}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Deployments: Listing\n", + "Now because creating a new deployment takes a long time, let's look in the subscription for an already finished deployment that succeeded." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print('While deployment running, selecting a completed one.')\n", + "deployment_id = None\n", + "result = openai.Deployment.list()\n", + "for deployment in result.data:\n", + " if deployment[\"status\"] == \"succeeded\":\n", + " deployment_id = deployment[\"id\"]\n", + " break\n", + "\n", + "if not deployment_id:\n", + " print('No deployment with status: succeeded found.')\n", + "else:\n", + " print(f'Found a successful deployment with id: {deployment_id}.')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Embeddings\n", + "Now let's send a sample embedding to the deployment." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "embeddings = openai.Embedding.create(engine=deployment_id,\n", + " input=\"The food was delicious and the waiter...\")\n", + " \n", + "print(embeddings)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### (Optional) Deployments: Delete\n", + "Finally let's delete the deployment" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(f'Deleting deployment: {deployment_id}')\n", + "openai.Deployment.delete(sid=deployment_id)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.9 ('openai')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/azure/finetuning.ipynb b/examples/azure/finetuning.ipynb new file mode 100644 index 00000000..8e59dc52 --- /dev/null +++ b/examples/azure/finetuning.ipynb @@ -0,0 +1,475 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Azure Fune tuning example\n", + "In this example we'll try to go over all operations that can be done using the Azure endpoints and their differences with the openAi endpoints (if any).
\n", + "This example focuses on finetuning but touches on the majority of operations that are also available using the API. This example is meant to be a quick way of showing simple operations and is not meant as a finetune model adaptation tutorial.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import openai\n", + "from openai import cli" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup\n", + "In the following section the endpoint and key need to be set up of the next sections to work.
Please go to https://portal.azure.com, find your resource and then under \"Resource Management\" -> \"Keys and Endpoints\" look for the \"Endpoint\" value and one of the Keys. They will act as api_base and api_key in the code below." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "openai.api_key = '' # Please add your api key here\n", + "openai.api_base = '' # Please add your endpoint here\n", + "\n", + "openai.api_type = 'azure'\n", + "openai.api_version = '2022-03-01-preview' # this may change in the future" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Microsoft Active Directory Authentication\n", + "Instead of key based authentication, you can use Active Directory to authenticate using credential tokens. Uncomment the next code section to use credential based authentication:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "from azure.identity import DefaultAzureCredential\n", + "\n", + "default_credential = DefaultAzureCredential()\n", + "token = default_credential.get_token(\"https://cognitiveservices.azure.com\")\n", + "\n", + "openai.api_type = 'azure_ad'\n", + "openai.api_key = token.token\n", + "openai.api_version = '2022-03-01-preview' # this may change in the future\n", + "\n", + "\n", + "openai.api_base = '' # Please add your endpoint here\n", + "\"\"\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Files\n", + "In the next section we will focus on the files operations: importing, listing, retrieving, deleting. For this we need to create 2 temporary files with some sample data. For the sake of simplicity, we will use the same data for training and validation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import shutil\n", + "import json\n", + "\n", + "training_file_name = 'training.jsonl'\n", + "validation_file_name = 'validation.jsonl'\n", + "\n", + "sample_data = [{\"prompt\": \"When I go to the store, I want an\", \"completion\": \"apple\"},\n", + " {\"prompt\": \"When I go to work, I want a\", \"completion\": \"coffe\"},\n", + " {\"prompt\": \"When I go home, I want a\", \"completion\": \"soda\"}]\n", + "\n", + "print(f'Generating the training file: {training_file_name}')\n", + "with open(training_file_name, 'w') as training_file:\n", + " for entry in sample_data:\n", + " json.dump(entry, training_file)\n", + " training_file.write('\\n')\n", + "\n", + "print(f'Copying the training file to the validation file')\n", + "shutil.copy(training_file_name, validation_file_name)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Files: Listing\n", + "List all of the uploaded files and check for the ones that are named \"training.jsonl\" or \"validation.jsonl\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print('Checking for existing uploaded files.')\n", + "results = []\n", + "files = openai.File.list().data\n", + "print(f'Found {len(files)} total uploaded files in the subscription.')\n", + "for item in files:\n", + " if item[\"filename\"] in [training_file_name, validation_file_name]:\n", + " results.append(item[\"id\"])\n", + "print(f'Found {len(results)} already uploaded files that match our names.')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Files: Deleting\n", + "Let's now delete those found files (if any) since we're going to be re-uploading them next." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(f'Deleting already uploaded files.')\n", + "for id in results:\n", + " openai.File.delete(sid = id)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Files: Importing & Retrieving\n", + "Now, let's import our two files ('training.jsonl' and 'validation.jsonl') and keep those IDs since we're going to use them later for finetuning.
\n", + "For this operation we are going to use the cli wrapper which does a bit more checks before uploading and also gives us progress. In addition, after uploading we're going to check the status our import until it has succeeded (or failed if something goes wrong)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import time\n", + "\n", + "def check_status(training_id, validation_id):\n", + " train_status = openai.File.retrieve(training_id)[\"status\"]\n", + " valid_status = openai.File.retrieve(validation_id)[\"status\"]\n", + " print(f'Status (training_file | validation_file): {train_status} | {valid_status}')\n", + " return (train_status, valid_status)\n", + "\n", + "#importing our two files\n", + "training_id = cli.FineTune._get_or_upload(training_file_name, True)\n", + "validation_id = cli.FineTune._get_or_upload(validation_file_name, True)\n", + "\n", + "#checking the status of the imports\n", + "(train_status, valid_status) = check_status(training_id, validation_id)\n", + "\n", + "while train_status not in [\"succeeded\", \"failed\"] or valid_status not in [\"succeeded\", \"failed\"]:\n", + " time.sleep(1)\n", + " (train_status, valid_status) = check_status(training_id, validation_id)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Files: Downloading\n", + "Now let's download one of the files, the training file for example, to check that everything was in order during importing and all bits are there." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(f'Downloading training file: {training_id}')\n", + "result = openai.File.download(training_id)\n", + "print(result)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Finetune\n", + "In this section we are going to use the two training and validation files that we imported in the previous section, to train a finetune model." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Finetune: Adapt\n", + "First let's create the finetune adaptation job." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "create_args = {\n", + " \"training_file\": training_id,\n", + " \"validation_file\": validation_id,\n", + " \"model\": \"curie\",\n", + " \"compute_classification_metrics\": True,\n", + " \"classification_n_classes\": 3\n", + "}\n", + "resp = openai.FineTune.create(**create_args)\n", + "job_id = resp[\"id\"]\n", + "status = resp[\"status\"]\n", + "\n", + "print(f'Fine-tunning model with jobID: {job_id}.')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Finetune: Streaming\n", + "While the job runs, we can subscribe to the streaming events to check the progress of the operation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import signal\n", + "import datetime\n", + "\n", + "def signal_handler(sig, frame):\n", + " status = openai.FineTune.retrieve(job_id).status\n", + " print(f\"Stream interrupted. Job is still {status}.\")\n", + " return\n", + "\n", + "print('Streaming events for the fine-tuning job: {job_id}')\n", + "signal.signal(signal.SIGINT, signal_handler)\n", + "\n", + "events = openai.FineTune.stream_events(job_id)\n", + "try:\n", + " for event in events:\n", + " print(f'{datetime.datetime.fromtimestamp(event[\"created_at\"])} {event[\"message\"]}')\n", + "\n", + "except Exception:\n", + " print(\"Stream interrupted (client disconnected).\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Finetune: Listing and Retrieving\n", + "Now let's check that our operation was successful and in addition we can look at all of the finetuning operations using a list operation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "status = openai.FineTune.retrieve(id=job_id)[\"status\"]\n", + "if status not in [\"succeeded\", \"failed\"]:\n", + " print(f'Job not in terminal status: {status}. Waiting.')\n", + " while status not in [\"succeeded\", \"failed\"]:\n", + " time.sleep(2)\n", + " status = openai.FineTune.retrieve(id=job_id)[\"status\"]\n", + " print(f'Status: {status}')\n", + "else:\n", + " print(f'Finetune job {job_id} finished with status: {status}')\n", + "\n", + "print('Checking other finetune jobs in the subscription.')\n", + "result = openai.FineTune.list()\n", + "print(f'Found {len(result)} finetune jobs.')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Finetune: Deleting\n", + "Finally we can delete our finetune job.
\n", + "WARNING: Please skip this step if you want to continue with the next section as the finetune model is needed. (The delete code is commented out by default)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# openai.FineTune.delete(sid=job_id)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Deployments\n", + "In this section we are going to create a deployment using the finetune model that we just adapted and then used the deployment to create a simple completion operation." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Deployments: Create\n", + "Let's create a deployment using the fine-tune model." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#Fist let's get the model of the previous job:\n", + "result = openai.FineTune.retrieve(id=job_id)\n", + "if result[\"status\"] == 'succeeded':\n", + " model = result[\"fine_tuned_model\"]\n", + "\n", + "# Now let's create the deployment\n", + "print(f'Creating a new deployment with model: {model}')\n", + "result = openai.Deployment.create(model=model, scale_settings={\"scale_type\":\"manual\", \"capacity\": 1})\n", + "deployment_id = result[\"id\"]\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Deployments: Retrieving\n", + "Now let's check the status of the newly created deployment" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(f'Checking for deployment status.')\n", + "resp = openai.Deployment.retrieve(id=deployment_id)\n", + "status = resp[\"status\"]\n", + "print(f'Deployment {deployment_id} is with status: {status}')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Deployments: Listing\n", + "Now because creating a new deployment takes a long time, let's look in the subscription for an already finished deployment that succeeded." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print('While deployment running, selecting a completed one.')\n", + "deployment_id = None\n", + "result = openai.Deployment.list()\n", + "for deployment in result.data:\n", + " if deployment[\"status\"] == \"succeeded\":\n", + " deployment_id = deployment[\"id\"]\n", + " break\n", + "\n", + "if not deployment_id:\n", + " print('No deployment with status: succeeded found.')\n", + "else:\n", + " print(f'Found a successful deployment with id: {deployment_id}.')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Completions\n", + "Now let's send a sample completion to the deployment." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print('Sending a test completion job')\n", + "start_phrase = 'When I go to the store, I want a'\n", + "response = openai.Completion.create(engine=deployment_id, prompt=start_phrase, max_tokens=4)\n", + "text = response['choices'][0]['text'].replace('\\n', '').replace(' .', '.').strip()\n", + "print(f'\"{start_phrase} {text}\"')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Deployments: Delete\n", + "Finally let's delete the deployment" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(f'Deleting deployment: {deployment_id}')\n", + "openai.Deployment.delete(sid=deployment_id)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Thank you" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.9 64-bit ('3.9.9')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "cb9817b186a29e4e9713184d901f26c1ee05ad25243d878baff7f31bb1fef480" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}