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47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
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from datasets import DatasetDict, 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 storyclozeDataset(BaseDataset):
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@staticmethod
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def load(**kwargs):
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# special process
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dataset = load_dataset(**kwargs, split='train+eval')
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def preprocess(example):
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example['context'] = ' '.join([
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example['input_sentence_1'], example['input_sentence_2'],
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example['input_sentence_3'], example['input_sentence_4']
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])
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return example
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dataset = dataset.map(preprocess)
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return DatasetDict({'test': dataset})
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@LOAD_DATASET.register_module()
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class storyclozeDataset_V2(BaseDataset):
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@staticmethod
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def load(**kwargs):
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# special process
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dataset = load_dataset(**kwargs, split='train+eval')
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def preprocess(example):
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example['context'] = ' '.join([
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example['input_sentence_1'], example['input_sentence_2'],
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example['input_sentence_3'], example['input_sentence_4']
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])
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example['answer_right_ending'] = ' AB'[
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example['answer_right_ending']]
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return example
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dataset = dataset.map(preprocess)
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return dataset
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