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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>
65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
import copy
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import json
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from datasets import 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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def get_number(options):
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result_string = ''
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for i, option in enumerate(options, start=65):
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result_string += f'{chr(i)}. {option}\n'
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return result_string
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@LOAD_DATASET.register_module()
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class WikiBenchDataset(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, local_mode=True)
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circular_patterns = ['ABCD', 'BCDA', 'CDAB', 'DABC']
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data = []
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with open(path, 'r', encoding='utf-8') as infile:
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for id, line in enumerate(infile):
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entry = json.loads(line)
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if 'cloze' in name:
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data.append({
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'question': entry['question'].strip(),
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'answer': entry['answer'].strip()
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})
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elif 'circular' in name:
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for c in circular_patterns:
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line = copy.deepcopy(entry)
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options = []
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for i in range(4):
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options.append(line['options'][ord(c[i]) -
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ord('A')])
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line['options'] = options
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line['answer'] = {
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c[0]: 'A',
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c[1]: 'B',
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c[2]: 'C',
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c[3]: 'D'
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}[line['answer']]
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line['answer'] = str(
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id) + '--' + line['answer'] + '--' + c
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line['question'] = line['question'].strip(
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) + '\n' + get_number(line['options'])
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data.append(line)
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else:
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# treat as normal single choice question
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entry['question'] = entry['question'].strip(
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) + '\n' + get_number(entry['options'])
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data.append(entry)
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dataset = Dataset.from_list(data)
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return dataset
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