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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>
47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
import json
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from datasets import Dataset, load_dataset
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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 WiCDataset(BaseDataset):
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@staticmethod
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def load(**kwargs):
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if 'data_files' in kwargs:
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kwargs['data_files'] = get_data_path(kwargs['data_files'],
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local_mode=True)
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dataset = load_dataset(**kwargs)
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def preprocess(example):
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if example['label'] == 'true':
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example['answer'] = 1
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else:
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example['answer'] = 0
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return example
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dataset = dataset.map(preprocess)
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return dataset
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@LOAD_DATASET.register_module()
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class WiCDatasetV2(BaseDataset):
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@staticmethod
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def load(path):
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path = get_data_path(path, local_mode=True)
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dataset = []
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with open(path, 'r') as f:
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for line in f:
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line = json.loads(line)
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line['label'] = {'true': 'A', 'false': 'B'}[line['label']]
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dataset.append(line)
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return Dataset.from_list(dataset)
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