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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>
82 lines
3.1 KiB
Python
82 lines
3.1 KiB
Python
import os
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import re
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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, TEXT_POSTPROCESSORS
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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 FloresFirst100Dataset(BaseDataset):
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@staticmethod
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def load_single(src_path, tgt_path, src_lang, tgt_lang):
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with open(src_path, 'r', encoding='utf-8') as f:
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src_lines = f.readlines()
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with open(tgt_path, 'r', encoding='utf-8') as f:
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tgt_lines = f.readlines()
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assert len(src_lines) == len(tgt_lines)
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dataset_list = [{
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f'sentence_{src_lang}': src_lines[i].strip(),
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f'sentence_{tgt_lang}': tgt_lines[i].strip(),
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} for i in range(len(src_lines))]
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return Dataset.from_list(dataset_list)
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@staticmethod
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def load(path, name):
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path = get_data_path(path)
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src_lang, tgt_lang = name.split('-')
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if environ.get('DATASET_SOURCE') == 'ModelScope':
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from modelscope import MsDataset
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src_dev = MsDataset.load(path, subset_name=src_lang, split='dev')
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src_devtest = MsDataset.load(path,
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subset_name=src_lang,
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split='devtest')
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tgt_dev = MsDataset.load(path, subset_name=tgt_lang, split='dev')
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tgt_devtest = MsDataset.load(path,
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subset_name=tgt_lang,
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split='devtest')
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dev_data_list = [{
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f'sentence_{src_lang}': src_dev[i]['sentence'],
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f'sentence_{tgt_lang}': tgt_dev[i]['sentence'],
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} for i in range(len(src_dev))]
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devtest_data_list = [{
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f'sentence_{src_lang}':
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src_devtest[i]['sentence'],
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f'sentence_{tgt_lang}':
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tgt_devtest[i]['sentence'],
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} for i in range(len(src_devtest))]
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dev_dataset = Dataset.from_list(dev_data_list)
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devtest_dataset = Dataset.from_list(devtest_data_list)
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else:
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dev_dataset = FloresFirst100Dataset.load_single(
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os.path.join(path, 'dev', f'{src_lang}.dev'),
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os.path.join(path, 'dev', f'{tgt_lang}.dev'), src_lang,
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tgt_lang)
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devtest_dataset = FloresFirst100Dataset.load_single(
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os.path.join(path, 'devtest', f'{src_lang}.devtest'),
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os.path.join(path, 'devtest', f'{tgt_lang}.devtest'), src_lang,
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tgt_lang)
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return DatasetDict({'dev': dev_dataset, 'devtest': devtest_dataset})
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@TEXT_POSTPROCESSORS.register_module('flores')
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def flores_postprocess(text: str) -> str:
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text = text.strip().split('\n')[0]
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return text
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@TEXT_POSTPROCESSORS.register_module('flores-chinese')
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def flores_postprocess_chinese(text: str) -> str:
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import jieba
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truncated_text = text.strip().split('\n')[0]
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cleaned_text = re.sub(r'\s+', ' ', truncated_text).strip()
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cleaned_text = ' '.join(jieba.cut(cleaned_text))
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return cleaned_text
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