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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>
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
import json
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import os.path as osp
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from datasets import Dataset, DatasetDict
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from opencompass.registry import LOAD_DATASET
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from opencompass.utils import get_data_path
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from .base import BaseDataset
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@LOAD_DATASET.register_module()
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class CMBDataset(BaseDataset):
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@staticmethod
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def load(path: str):
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path = get_data_path(path, local_mode=True)
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with open(osp.join(path, 'val.json'), 'r', encoding='utf-8') as f:
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val_data = json.load(f)
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for d in val_data:
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d['option_str'] = '\n'.join(
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[f'{k}. {v}' for k, v in d['option'].items() if len(v) > 1])
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val_dataset = Dataset.from_list(val_data)
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with open(osp.join(path, 'test.json'), 'r', encoding='utf-8') as f:
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test_data = json.load(f)
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for d in test_data:
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d['option_str'] = '\n'.join(
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[f'{k}. {v}' for k, v in d['option'].items() if len(v) > 1])
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d['answer'] = 'NULL'
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test_dataset = Dataset.from_list(test_data)
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return DatasetDict({'val': val_dataset, 'test': test_dataset})
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