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51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
from datasets import 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 piqaDataset_V2(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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def preprocess(example):
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assert isinstance(example['label'], int)
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if example['label'] < 0:
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example['answer'] = 'NULL'
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else:
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example['answer'] = 'AB'[example['label']]
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example.pop('label')
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return example
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dataset = dataset.map(preprocess)
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return dataset
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@LOAD_DATASET.register_module()
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class piqaDataset_V3(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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def preprocess(example):
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example['goal'] = example['goal'][0].upper() + example['goal'][1:]
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if example['goal'].endswith('?') or example['goal'].endswith('.'):
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example['sol1'] = example['sol1'][0].upper(
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) + example['sol1'][1:]
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example['sol2'] = example['sol2'][0].upper(
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) + example['sol2'][1:]
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else:
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example['sol1'] = example['sol1'][0].lower(
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) + example['sol1'][1:]
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example['sol2'] = example['sol2'][0].lower(
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) + example['sol2'][1:]
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return example
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dataset = dataset.map(preprocess)
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return dataset
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