#!/usr/bin/env python3 """ 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"), ("×", 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": "✓"}, {"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) # Read existing existing = [] if input_path.exists(): with open(input_path) as f: for line in f: existing.append(json.loads(line)) # Generate new new_examples = generate_examples(num_new) # Write combined 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)