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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>
58 lines
2.1 KiB
Python
58 lines
2.1 KiB
Python
import json
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import os
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from os import environ
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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 RaceDataset(BaseDataset):
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@staticmethod
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def load(path: str, name: str):
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path = get_data_path(path)
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dataset = {}
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if environ.get('DATASET_SOURCE') == 'ModelScope':
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from modelscope import MsDataset
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for split in ['validation', 'test']:
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# 从 ModelScope 加载数据
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ms_dataset = MsDataset.load(path,
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subset_name=name,
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split=split)
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dataset_list = []
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for line in ms_dataset:
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dataset_list.append({
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'article': line['article'],
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'question': line['question'],
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'A': line['options'][0],
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'B': line['options'][1],
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'C': line['options'][2],
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'D': line['options'][3],
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'answer': line['answer'],
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})
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dataset[split] = Dataset.from_list(dataset_list)
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else:
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for split in ['validation', 'test']:
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jsonl_path = os.path.join(path, split, f'{name}.jsonl')
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dataset_list = []
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with open(jsonl_path, 'r', encoding='utf-8') as f:
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for line in f:
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line = json.loads(line)
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dataset_list.append({
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'article': line['article'],
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'question': line['question'],
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'A': line['options'][0],
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'B': line['options'][1],
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'C': line['options'][2],
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'D': line['options'][3],
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'answer': line['answer'],
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})
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dataset[split] = Dataset.from_list(dataset_list)
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return DatasetDict(dataset)
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