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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>
42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
import csv
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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 FinanceIQDataset(BaseDataset):
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# @staticmethod
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# def load(path: str):
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# from datasets import load_dataset
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# return load_dataset('csv', data_files={'test': path})
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@staticmethod
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def load(path: str, name: str):
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path = get_data_path(path, local_mode=True)
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dataset = DatasetDict()
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for split in ['dev', 'test']:
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raw_data = []
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filename = osp.join(path, split, f'{name}.csv')
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with open(filename, encoding='utf-8') as f:
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reader = csv.reader(f)
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_ = next(reader) # skip the header
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for row in reader:
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assert len(row) == 7
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raw_data.append({
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'question': row[1],
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'A': row[2],
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'B': row[3],
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'C': row[4],
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'D': row[5],
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'answer': row[6],
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})
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dataset[split] = Dataset.from_list(raw_data)
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return dataset
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