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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>
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
import os.path as osp
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from os import environ
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from datasets import Dataset
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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 LCSTSDataset(BaseDataset):
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@staticmethod
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def load(path: str):
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path = get_data_path(path)
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if environ.get('DATASET_SOURCE') == 'ModelScope':
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from modelscope import MsDataset
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ms_dataset = MsDataset.load(path, split='test')
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dataset = []
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for row in ms_dataset:
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new_row = {}
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new_row['content'] = row['text']
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new_row['abst'] = row['summary']
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dataset.append(new_row)
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dataset = Dataset.from_list(dataset)
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else:
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src_path = osp.join(path, 'test.src.txt')
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tgt_path = osp.join(path, 'test.tgt.txt')
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src_lines = open(src_path, 'r', encoding='utf-8').readlines()
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tgt_lines = open(tgt_path, 'r', encoding='utf-8').readlines()
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data = {'content': [], 'abst': []}
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for _, (src_text, tgt_text) in enumerate(zip(src_lines,
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tgt_lines)):
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data['content'].append(src_text.strip())
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data['abst'].append(tgt_text.strip())
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dataset = Dataset.from_dict({
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'content': data['content'],
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'abst': data['abst']
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})
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return dataset
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@TEXT_POSTPROCESSORS.register_module('lcsts')
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def lcsts_postprocess(text: str) -> str:
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text = text.strip().split('\n')[0].replace('своей', '').strip()
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text = text.replace('1. ', '') if text.startswith('1. ') else text
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text = text.replace('- ', '') if text.startswith('- ') else text
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text = text.strip('“，。！”')
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return text
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