Create prepare.py

prepare.py

@@ -0,0 +1,49 @@
+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()