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edab1c07ba
* add ceval, gsm8k modelscope surpport * update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest * update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets * format file * format file * update dataset format * support ms_dataset * udpate dataset for modelscope support * merge myl_dev and update test_ms_dataset * udpate dataset for modelscope support * update readme * update eval_api_zhipu_v2 * remove unused code * add get_data_path function * update readme * remove tydiqa japanese subset * add ceval, gsm8k modelscope surpport * update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest * update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets * format file * format file * update dataset format * support ms_dataset * udpate dataset for modelscope support * merge myl_dev and update test_ms_dataset * update readme * udpate dataset for modelscope support * update eval_api_zhipu_v2 * remove unused code * add get_data_path function * remove tydiqa japanese subset * update util * remove .DS_Store * fix md format * move util into package * update docs/get_started.md * restore eval_api_zhipu_v2.py, add environment setting * Update dataset * Update * Update * Update * Update --------- Co-authored-by: Yun lin <yunlin@U-Q9X2K4QV-1904.local> Co-authored-by: Yunnglin <mao.looper@qq.com> Co-authored-by: Yun lin <yunlin@laptop.local> Co-authored-by: Yunnglin <maoyl@smail.nju.edu.cn> Co-authored-by: zhangsongyang <zhangsongyang@pjlab.org.cn>
45 lines
1.2 KiB
Python
45 lines
1.2 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('opencompass/strategy_qa',
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split='train',
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trust_remote_code=True)
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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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