mirror of
https://github.com/nomic-ai/gpt4all
synced 2024-11-02 09:40:42 +00:00
71 lines
2.0 KiB
Python
71 lines
2.0 KiB
Python
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import numpy as np
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import glob
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import os
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import json
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import jsonlines
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import pandas as pd
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prompt_generation_dir = "prompts-reponses"
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for file in glob.glob(os.path.join(prompt_generation_dir, "*.jsonl")):
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data = []
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print(file)
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with open(file) as f:
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for line in f:
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try:
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contents = json.loads(line)
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data.append(contents)
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except BaseException:
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pass
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processed = []
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for item in data:
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if 'source' not in item:
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item['source'] = 'unspecified'
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if 'model_settings' in item:
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item.pop('model_settings', None)
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for key in list(item.keys()):
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if key not in ['source', 'prompt', 'response']:
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#print(item[key])
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item.pop(key, None)
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if isinstance(item['prompt'], dict):
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if "value" in item["prompt"]:
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item["prompt"] = item["prompt"]["value"]
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elif "description" in item["prompt"]:
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item["prompt"] = item["prompt"]["description"]
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else:
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continue
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elif not isinstance(item['prompt'], str):
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continue
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if isinstance(item['response'], dict):
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if "value" in item["response"]:
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item["response"] = item["response"]["value"]
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elif "description" in item["response"]:
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item["response"] = item["response"]["description"]
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else:
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continue
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elif not isinstance(item['response'], str):
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continue
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if item:
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processed.append(item)
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df = pd.DataFrame(processed)
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prev_len = len(df)
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# drop empty or null string
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df = df.dropna(subset=['prompt', 'response'])
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df = df[df['prompt'] != '']
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df = df[df['response'] != '']
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curr_len = len(df)
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print(f"Removed {prev_len - curr_len} rows")
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clean_name = file.split(".jsonl")[0] + "_clean.jsonl"
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print(f"writing to {clean_name}")
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df.to_json(clean_name, orient="records", lines=True)
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