prepare.py

import random
from datasets import load_dataset, Dataset, DatasetDict


def main():
    datasets = load_dataset('allenai/qasc')

    _datasets = {}
    for split in ['train', 'validation', 'test']:
        data = []
        split_dataset = datasets[split]

        for example in split_dataset:
            question = str(example['question']).strip()
            correct_answer = example['correct_answer'].strip()
            
            # Original choices: 3 distractors + 1 correct answer
            choices = [
                example['distractor1'].strip(),
                example['distractor2'].strip(),
                example['distractor3'].strip(),
                correct_answer
            ]
            
            # Shuffle choices
            random.shuffle(choices)
            
            # Find new index of correct answer after shuffle
            answer_index = choices.index(correct_answer)
            # Convert index to letter A–D
            answer = chr(ord('A') + answer_index)

            data.append({
                'question': question,
                'choices': choices,
                'answer': answer,
                'answer_index': answer_index,
                'support': example['support'],
            })

        _datasets[split] = Dataset.from_list(data)
        
    datasets = DatasetDict(_datasets)

    datasets.push_to_hub('extraordinarylab/sciq')


if __name__ == '__main__':
    main()