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from datasets import Dataset, load_dataset |
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from opencompass.registry import LOAD_DATASET |
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from ..base import BaseDataset |
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@LOAD_DATASET.register_module() |
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class LVEvallicDataset(BaseDataset): |
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@staticmethod |
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def load(**kwargs): |
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dataset = load_dataset(**kwargs) |
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split = 'test' |
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raw_data = [] |
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for i in range(len(dataset[split])): |
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question = dataset[split]['input'][i] |
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context = dataset[split]['context'][i] |
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answers = dataset[split]['answers'][i] |
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confusing_facts = dataset[split]['confusing_facts'][i] |
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answer_keywords = dataset[split]['answer_keywords'][i] |
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answers_with_ak = answers + [answer_keywords] |
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raw_data.append({ |
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'input': question, |
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'context': context, |
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'answers': answers_with_ak, |
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'confusing_facts': confusing_facts, |
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'answer_keywords': answer_keywords, |
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}) |
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dataset[split] = Dataset.from_list(raw_data) |
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return dataset |
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