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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>
40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
import csv
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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 JigsawMultilingualDataset(BaseDataset):
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@staticmethod
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def load(path, label, lang):
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path = get_data_path(path, local_mode=True)
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label = get_data_path(label, local_mode=True)
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assert lang in ['es', 'fr', 'it', 'pt', 'ru', 'tr']
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dataset = DatasetDict()
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data_list = list()
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idx = 0
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with open(path) as file, open(label) as label:
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text_reader = csv.reader(file)
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label_reader = csv.reader(label)
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for text, target in zip(text_reader, label_reader):
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if text[2] == lang:
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assert text[0] == target[0]
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data_list.append({
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'idx': idx,
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'text': text[1],
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'label': int(target[1]),
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'choices': ['no', 'yes']
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})
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idx += 1
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dataset['test'] = Dataset.from_list(data_list)
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return dataset
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