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b3cbef3226
* [feat] add clozeTesst_maxmin dataset * [feat] add py150 datasets * [feat] change __init__.py in opencompass/datasets * [fix] pre-commit check * [fix] rename py150 and masxmin datasets in configs * [feat] add gen.py of py150 and maxmin in configs/datasets
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
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 .base import BaseDataset
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@LOAD_DATASET.register_module()
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class MaxminDataset(BaseDataset):
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@staticmethod
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def load(test_path, answer_path=None):
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if answer_path is not None:
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with open(answer_path, 'r', encoding='utf-8') as answer_f:
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answers = {}
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for line in answer_f.readlines():
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line = line.strip()
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answers[line.split('<CODESPLIT>')[0]] = line.split(
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'<CODESPLIT>')[1]
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datasets = []
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with open(test_path, 'r') as test_f:
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test_data = json.load(test_f)
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for item in test_data:
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dataset = dict()
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dataset['nl_tokens'] = ' '.join(item['nl_tokens'])
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dataset['pl_tokens'] = ' '.join(item['pl_tokens'])
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if answer_path is not None:
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dataset['answer'] = 'A' if answers[
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item['idx']] == 'max' else 'B'
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else:
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dataset['answer'] = ''
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datasets.append(dataset)
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return Dataset.from_list(datasets)
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