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4f86c5f5ce
Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com> Signed-off-by: Zhenhuan Chen <zhenhuanc@nvidia.com> Co-authored-by: Zhenhuan Chen <zhenhuanc@nvidia.com>
35 lines
925 B
Python
35 lines
925 B
Python
import random
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import datasets
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def preprocess(text):
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if text is None:
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return " "
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return text.strip()
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def process_gpqa_docs(dataset: datasets.Dataset) -> datasets.Dataset:
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def _process_doc(doc):
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choices = [
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preprocess(doc["Incorrect Answer 1"]),
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preprocess(doc["Incorrect Answer 2"]),
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preprocess(doc["Incorrect Answer 3"]),
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preprocess(doc["Correct Answer"]),
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]
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random.shuffle(choices)
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correct_answer_index = choices.index(preprocess(doc["Correct Answer"]))
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out_doc = {
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"choice1": choices[0],
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"choice2": choices[1],
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"choice3": choices[2],
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"choice4": choices[3],
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"choices": [choices[0], choices[1], choices[2], choices[3]],
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"answer": f"{chr(65 + correct_answer_index)}",
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}
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return out_doc
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return dataset.map(_process_doc)
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