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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 LEvalPaperAssistantDataset(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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instructions = dataset[split]['instructions'][i] |
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outputs = dataset[split]['outputs'][i] |
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context = dataset[split]['input'][i] |
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for question, answer in zip(instructions, outputs): |
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raw_data.append({ |
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'question': question, |
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'context': context, |
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'length': len(answer.split()), |
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'answer': answer |
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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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