@ -2,7 +2,7 @@
from langchain . prompts import PromptTemplate
template = """ You are a teacher grading a quiz.
You are given a question , the student ' s answer, and the true answer, and are asked to score it as either CORRECT or INCORRECT.
You are given a question , the student ' s answer, and the true answer, and are asked to score the student answer as either CORRECT or INCORRECT.
Example Format :
QUESTION : question here
@ -10,7 +10,7 @@ STUDENT ANSWER: student's answer here
TRUE ANSWER : true answer here
GRADE : CORRECT or INCORRECT here
Please remember to grade them based on being factually accurate . Begin !
Grade the student answers based ONLY on their factual accuracy . Ignore differences in punctuation and phrasing between the student answer and true answer . It is OK if the student answer contains more information than the true answer , as long as it does not contain any conflicting statements . Begin !
QUESTION : { query }
STUDENT ANSWER : { result }
@ -29,7 +29,7 @@ CONTEXT: context the question is about here
STUDENT ANSWER : student ' s answer here
GRADE : CORRECT or INCORRECT here
Please remember to grade them based on being factually accurate . Begin !
Grade the student answers based ONLY on their factual accuracy . Ignore differences in punctuation and phrasing between the student answer and true answer . It is OK if the student answer contains more information than the true answer , as long as it does not contain any conflicting statements . Begin !
QUESTION : { query }
CONTEXT : { context }
@ -51,7 +51,7 @@ STUDENT ANSWER: student's answer here
EXPLANATION : step by step reasoning here
GRADE : CORRECT or INCORRECT here
Please remember to grade them based on being factually accurate . Begin !
Grade the student answers based ONLY on their factual accuracy . Ignore differences in punctuation and phrasing between the student answer and true answer . It is OK if the student answer contains more information than the true answer , as long as it does not contain any conflicting statements . Begin !
QUESTION : { query }
CONTEXT : { context }