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42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
from datasets import Dataset, DatasetDict, load_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 ScienceQADataset(BaseDataset):
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@staticmethod
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def load_single():
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dataset = []
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ds = load_dataset('derek-thomas/ScienceQA')
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num = 0
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for data in ds['test']:
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if data['image'] is None and data['topic'] == 'biology':
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num += 1
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# if num > 10:
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# break
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data['label'] = chr(65 + data['answer']
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) + '. ' + data['choices'][data['answer']]
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choices = ''
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for i in range(len(data['choices'])):
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choices += chr(65 + i) + '. ' + data['choices'][i] + '\n'
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data['choices'] = choices
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# print(data)
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dataset.append(data)
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return Dataset.from_list(dataset)
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@staticmethod
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def load(path):
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train_dataset = Dataset.from_list([])
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val_dataset = ScienceQADataset.load_single()
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dataset = DatasetDict({
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'train': train_dataset,
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'validation': val_dataset
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})
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return dataset
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