utils.py 811 Bytes
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from lm_eval.utils import weighted_f1_score
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def doc_to_choice(doc):
    choices = eval(doc["choices"])
    return choices


def doc_to_text(doc):
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    output = """You are a highly knowledgeable and intelligent artificial intelligence
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                model answers multiple-choice questions about {subject}
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                Question: {question}

                Choices:
                        A: {choice1}
                        B: {choice2}
                        C: {choice3}
                        D: {choice4}
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                Answer:  """
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    choices = eval(doc["choices"])
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    text = output.format(
        subject=doc["subject"],
        question=doc["question"],
        choice1=choices[0],
        choice2=choices[1],
        choice3=choices[2],
        choice4=choices[3],
    )
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    return text