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40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
import csv
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import os.path as osp
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from datasets import Dataset, DatasetDict
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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 FinanceIQDataset(BaseDataset):
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# @staticmethod
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# def load(path: str):
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# from datasets import load_dataset
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# return load_dataset('csv', data_files={'test': path})
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@staticmethod
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def load(path: str, name: str):
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dataset = DatasetDict()
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for split in ['dev', 'test']:
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raw_data = []
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filename = osp.join(path, split, f'{name}.csv')
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with open(filename, encoding='utf-8') as f:
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reader = csv.reader(f)
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_ = next(reader) # skip the header
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for row in reader:
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assert len(row) == 7
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raw_data.append({
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'question': row[1],
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'A': row[2],
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'B': row[3],
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'C': row[4],
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'D': row[5],
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'answer': row[6],
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})
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dataset[split] = Dataset.from_list(raw_data)
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return dataset
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