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from datasets import Dataset |
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from opencompass.registry import LOAD_DATASET |
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from ..base import BaseDataset |
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from .utils import iter_jsonl |
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@LOAD_DATASET.register_module() |
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class InfiniteBenchenmcDataset(BaseDataset): |
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@staticmethod |
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def load(path: str): |
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dataset = list(iter_jsonl(path)) |
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raw_data = [] |
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for item in dataset: |
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context = item['context'] |
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question = item['input'] |
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option_A = item['options'][0] |
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option_B = item['options'][1] |
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option_C = item['options'][2] |
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option_D = item['options'][3] |
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answer = chr(item['options'].index(item['answer'][0]) + ord('A')) |
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raw_data.append({ |
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'context': context, |
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'question': question, |
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'option_A': option_A, |
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'option_B': option_B, |
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'option_C': option_C, |
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'option_D': option_D, |
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'answer': answer |
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}) |
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dataset = Dataset.from_list(raw_data) |
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return dataset |
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