| |
| """ |
| Augment reasoning data with additional examples. |
| """ |
| import json |
| import random |
| import sys |
| from pathlib import Path |
|
|
|
|
| def generate_examples(num_samples: int = 100): |
| """Generate synthetic reasoning examples.""" |
| operators = [ |
| ("+", lambda a, b: a + b, "add"), |
| ("-", lambda a, b: a - b, "subtract"), |
| ("Γ", lambda a, b: a * b, "multiply"), |
| ] |
| |
| examples = [] |
| for i in range(num_samples): |
| op_func, op_name = random.choice(operators) |
| a = random.randint(1, 100) |
| b = random.randint(1, 20) |
| result = op_func(a, b) |
| |
| example = { |
| "id": f"reasoning_{i+100:03d}", |
| "problem": f"What is {a} {op_name} {b}?", |
| "steps": [ |
| {"step": 1, "description": f"Apply {op_name}", "result": str(result)}, |
| {"step": 2, "description": "Verify", "result": "β"}, |
| {"step": 3, "description": "Final answer", "result": str(result)}, |
| ], |
| "final_answer": str(result), |
| } |
| examples.append(example) |
| |
| return examples |
|
|
|
|
| def augment_data(input_file: str, output_file: str, num_new: int = 100): |
| """Augment existing data with new examples.""" |
| input_path = Path(input_file) |
| |
| |
| existing = [] |
| if input_path.exists(): |
| with open(input_path) as f: |
| for line in f: |
| existing.append(json.loads(line)) |
| |
| |
| new_examples = generate_examples(num_new) |
| |
| |
| output_path = Path(output_file) |
| output_path.parent.mkdir(parents=True, exist_ok=True) |
| |
| with open(output_path, "w") as f: |
| for item in existing + new_examples: |
| f.write(json.dumps(item, ensure_ascii=False) + "\n") |
| |
| print(f"Saved {len(existing) + len(new_examples)} examples to {output_file}") |
|
|
|
|
| if __name__ == "__main__": |
| input_file = sys.argv[1] if len(sys.argv) > 1 else "data/brain/reasoning_steps.jsonl" |
| output_file = sys.argv[2] if len(sys.argv) > 2 else "data/brain/reasoning_steps.jsonl" |
| num_new = int(sys.argv[3]) if len(sys.argv) > 3 else 100 |
| augment_data(input_file, output_file, num_new) |