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43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
import json
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import re
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from os import environ
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from datasets import Dataset
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from opencompass.registry import LOAD_DATASET, TEXT_POSTPROCESSORS
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from opencompass.utils import get_data_path
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from .base import BaseDataset
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@TEXT_POSTPROCESSORS.register_module('strategyqa')
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def strategyqa_pred_postprocess(text: str) -> str:
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text = text.split('\n\n')[0]
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text = text.split('answer is ')[-1]
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match = re.search(r'(yes|no)', text.lower())
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if match:
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return match.group(1)
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return ''
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@TEXT_POSTPROCESSORS.register_module('strategyqa_dataset')
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def strategyqa_dataset_postprocess(text: str) -> str:
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return 'yes' if str(text) == 'True' else 'no'
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@LOAD_DATASET.register_module()
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class StrategyQADataset(BaseDataset):
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@staticmethod
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def load(path):
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path = get_data_path(path)
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if environ.get('DATASET_SOURCE') == 'ModelScope':
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from modelscope import MsDataset
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dataset = MsDataset.load(path, split='train')
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else:
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with open(path, 'r', encoding='utf-8') as f:
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dataset = json.load(f)
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dataset = Dataset.from_list(dataset)
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return dataset
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