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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>
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
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 NarrativeQADataset(BaseDataset):
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@staticmethod
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def load(path: str):
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path = get_data_path(path, local_mode=True)
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import csv
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import os
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dataset_dict = DatasetDict()
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splits = ['train', 'valid', 'test']
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dataset_lists = {x: [] for x in splits}
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with open(os.path.join(path, 'qaps.csv'), 'r') as f:
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reader = csv.reader(f, delimiter=',')
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for row in reader:
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if row[1] == 'set':
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continue
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split = row[1] # set
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answers = [row[3], row[4]] # row['answer1'], row['answer2']
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question = row[2] # question
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x_path = os.path.join(path, 'tmp',
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row[0] + '.content') # document_id
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try:
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with open(x_path, 'r', encoding='utf-8') as f:
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evidence = f.read(100000)
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except: # noqa: E722
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continue
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dataset_lists[split].append({
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'answer': answers,
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'question': question,
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'evidence': evidence,
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})
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for split in splits:
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dataset_dict[split] = Dataset.from_list(dataset_lists[split])
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return dataset_dict
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