Create prepare.py
Browse files- prepare.py +33 -0
prepare.py
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import re
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from datasets import load_dataset, Dataset, DatasetDict
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def main():
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datasets = load_dataset('kg-rag/BiomixQA', 'mcq')
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_datasets = {}
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for split in ['train']:
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data = []
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for example in datasets[split]:
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question = str(example['text'])
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question = question.split('Given list is:')[0]
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choices = [example['option_A'],example['option_B'], example['option_C'], example['option_D'], example['option_E']]
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answer_index = choices.index(example['correct_answer'])
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answer = chr(ord('A') + answer_index)
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data.append({
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'question': question.strip(),
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'choices': choices,
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'answer': answer.strip(),
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'answer_index': answer_index
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})
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dataset = Dataset.from_list(data)
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_datasets[split] = dataset
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datasets = DatasetDict({
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'test': _datasets['train'],
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})
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datasets.push_to_hub('extraordinarylab/biomix-qa')
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if __name__ == '__main__':
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main()
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