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31 lines
845 B
Python
31 lines
845 B
Python
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import json
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from datasets import Dataset, DatasetDict
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from .base import BaseDataset
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class CommonsenseQADataset_CN(BaseDataset):
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@staticmethod
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def load(path):
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datasetdict = DatasetDict()
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for split in ['train', 'validation']:
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data = []
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with open(path, 'r') as f:
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for line in f:
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item = json.loads(line)
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data.append(item)
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def pre_process(example):
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for i in range(5):
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example[chr(ord('A') + i)] = example['choices']['text'][i]
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return example
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dataset = Dataset.from_list(data)
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dataset = dataset.map(pre_process).remove_columns(
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['question_concept', 'id', 'choices'])
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datasetdict[split] = dataset
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return datasetdict
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