| import random |
| import json |
| import math |
| import time |
| import re |
| import sys |
| import multiprocessing |
| import os |
| from tqdm import tqdm |
|
|
| NUM_LINES = 2000000 |
| OUTPUT_FILE = "correct_math_data.jsonl" |
|
|
| MIN_LENGTH = 2 |
| MAX_LENGTH = 8 |
| MIN_NUMBER = 1 |
| MAX_NUMBER = 999 |
| MAX_EXPONENT_BASE = 9 |
| MAX_EXPONENT_POWER = 5 |
|
|
| REASONING_CHANCE = 0.8 |
| WORD_FORM_CHANCE = 0.25 |
| BRACKET_CHANCE = 0.5 |
| SENTENCE_FORM_CHANCE = 0.6 |
| MAX_SOLVER_ITERATIONS = 30 |
|
|
| NUM_WORKERS = os.cpu_count() or 1 |
|
|
| PROMPT_TEMPLATES = [ |
| "What is {expression}?", "Calculate the value of {expression}.", "Find the result of {expression}.", |
| "Can you solve {expression}?", "Solve for {expression}.", "What does {expression} equal?", "Compute {expression}.", |
| "What is the solution to {expression}?", "Give me the answer for {expression}.", "Determine the value of {expression}.", |
| "Evaluate the expression: {expression}.", "I need the result of {expression}, please." |
| ] |
| COT_INTRO_TEMPLATES = [ |
| "<think> Let's break down the equation {expression} step by step, following the order of operations (BEDMAS).", |
| "<think> Okay, to solve {expression}, I'll follow BEDMAS (Brackets, Exponents, Division/Multiplication, Addition/Subtraction).", |
| "<think> Analyzing {expression}. I need to solve this by applying the correct order of operations.", |
| "<think> Here's my step-by-step evaluation for {expression}:", |
| "<think> To get the answer for {expression}, I will use the order of operations.", |
| "<think> Processing {expression} requires following BEDMAS, let's begin.", |
| "<think> I will solve {expression} by carefully following the rules of BEDMAS.", |
| "<think> The expression is {expression}. My plan is to solve it using the order of operations.", |
| "<think> To solve this, I'll go through Brackets, then Exponents, then Multiplication/Division, and finally Addition/Subtraction for {expression}.", |
| "<think> Let's start solving {expression}. I'll tackle it one operation at a time based on BEDMAS.", |
| "<think> Thinking step-by-step for {expression}..." |
| ] |
| COT_STEP_TEMPLATES = { |
| "brackets": [ |
| "First, I'll solve the expression inside the brackets: {part}. That equals {result}.", |
| "Starting with the parentheses, {part} evaluates to {result}.", |
| "The brackets are the priority. Calculating {part} gives me {result}.", |
| "The calculation inside the parentheses comes first: {part} becomes {result}.", |
| "Looking inside the brackets, I see {part}. The result of that is {result}.", |
| "I'll begin by simplifying the part in the parentheses: {part} is {result}.", |
| "The first step according to BEDMAS is brackets. So, {part} is solved to {result}.", |
| "Tackling the parentheses first: {part} simplifies to {result}.", |
| "Evaluating the bracketed expression {part} yields {result}.", |
| "My focus is on the brackets first. {part} equals {result}." |
| ], |
| "exponents": [ |
| "Next, I'll handle the exponents. {part} is {result}.", |
| "Exponents are next in order. {part} calculates to {result}.", |
| "Now for the powers: {part} equals {result}.", |
| "Moving on to exponents, {part} results in {result}.", |
| "The next priority is exponents. The term {part} becomes {result}.", |
| "After brackets, I solve for exponents. {part} gives {result}.", |
| "Now, calculating the power: {part} is equal to {result}.", |
| "I see an exponent at {part}. This evaluates to {result}.", |
| "The 'E' in BEDMAS is for exponents, so I'll solve {part} to get {result}.", |
| "Time to resolve the exponents. {part} is {result}." |
| ], |
| "multi_div_mod": [ |
| "Now, I'll perform multiplication, division, and modulo from left to right. The first is {part}, which is {result}.", |
| "Next up is multiplication and division. I see {part}, which gives {result}.", |
| "Working through multiplication/division from left to right, {part} results in {result}.", |
| "The next step is to resolve multiplication and division. {part} is {result}.", |
| "Scanning from left to right for M/D/M, I find {part}. This calculates to {result}.", |
| "Now for multiplication and division. The operation {part} equals {result}.", |
| "Moving on, I'll handle the multiplication/division. {part} becomes {result}.", |
| "The next operations are multiply and divide. I'll solve {part} to get {result}.", |
| "I will now compute {part}, which results in {result}.", |
| "Left-to-right, the next multiplication or division is {part}, giving {result}." |
| ], |
| "add_sub": [ |
| "Finally, I'll do the addition and subtraction from left to right. I have {part}, which equals {result}.", |
| "Last step is addition and subtraction. {part} becomes {result}.", |
| "Finishing up with addition/subtraction, {part} evaluates to {result}.", |
| "The final operations are addition and subtraction. {part} results in {result}.", |
| "Now for the final calculations, addition and subtraction. {part} is {result}.", |
| "Working from left to right, the final step is {part}, which is {result}.", |
| "The last part of BEDMAS is addition and subtraction. {part} gives {result}.", |
| "To finish, I'll solve {part}, resulting in {result}.", |
| "Finally, the addition/subtraction part: {part} equals {result}.", |
| "The last calculation is {part}, and the answer is {result}." |
| ] |
| } |
| COT_FINALIZER_TEMPLATES = [ |
| "After all steps, the final answer is {result}.", |
| "So, the complete result for the expression is {result}.", |
| "Therefore, the final value is {result}.", |
| "Bringing it all together, the answer is {result}.", |
| "The final computation yields {result}.", |
| "Thus, the expression evaluates to {result}.", |
| "So the final answer is {result}.", |
| "After all those steps, we arrive at the answer: {result}.", |
| "The result of the entire calculation is {result}.", |
| "In conclusion, the answer is {result}." |
| ] |
| SIMPLE_COMPLETION_TEMPLATES = [ |
| "The equation {expression} equals {result}.", "The answer is {result}.", |
| "The result is {result}.", "It equals {result}.", "The final value is {result}.", |
| "{expression} results in {result}.", "The solution is {result}.", |
| "The value is {result}.", "After calculation, the answer is {result}.", |
| "The final result is {result}." |
| ] |
|
|
| ONES = ['', 'one', 'two', 'three', 'four', 'five', 'six', 'seven', 'eight', 'nine'] |
| TENS = ['', '', 'twenty', 'thirty', 'forty', 'fifty', 'sixty', 'seventy', 'eighty', 'ninety'] |
| TEENS = ['ten', 'eleven', 'twelve', 'thirteen', 'fourteen', 'fifteen', 'sixteen', 'seventeen', 'eighteen', 'nineteen'] |
|
|
| def number_to_words(n): |
| if not isinstance(n, int): return str(n) |
| if n == 0: return 'zero' |
| if n < 0: return f"negative {number_to_words(abs(n))}" |
| if n < 10: return ONES[n] |
| if n < 20: return TEENS[n-10] |
| if n < 100: return TENS[n//10] + (f"-{ONES[n%10]}" if n%10 else "") |
| if n < 1000: return f"{ONES[n//100]} hundred" + (f" and {number_to_words(n%100)}" if n%100 else "") |
| if n < 1000000: return f"{number_to_words(n//1000)} thousand" + (f", {number_to_words(n%1000)}" if n%1000 else "") |
| return str(n) |
|
|
| def operator_to_word(op): |
| return {'+': 'plus', '-': 'minus', '*': 'times', '/': 'divided by', '^': 'to the power of', '%': 'modulo'}.get(op, op) |
|
|
| def format_number(n): |
| if isinstance(n, float) and not n.is_integer(): |
| return f"{n:.4f}".rstrip('0').rstrip('.') |
| return str(int(round(n))) |
|
|
| def generate_expression_parts(): |
| length = random.randint(MIN_LENGTH, MAX_LENGTH) |
| parts = [] |
| for i in range(length): |
| if parts and parts[-1] == '^': |
| parts.append(random.randint(2, MAX_EXPONENT_POWER)) |
| else: |
| parts.append(random.randint(MIN_NUMBER, MAX_NUMBER)) |
|
|
| if i < length - 1: |
| if parts and parts[-1] != '^': |
| op = random.choice(['+', '-', '*', '/', '%', '^']) |
| else: |
| op = random.choice(['+', '-', '*', '/', '%']) |
|
|
| if op == '^': |
| parts[-1] = random.randint(MIN_NUMBER, MAX_EXPONENT_BASE) |
| parts.append(op) |
|
|
| if random.random() < BRACKET_CHANCE and len(parts) >= 5: |
| start = random.randrange(0, len(parts) - 2, 2) |
| end = random.randrange(start + 2, len(parts), 2) |
| parts.insert(end + 1, ')') |
| parts.insert(start, '(') |
| return parts |
|
|
| def solve_with_cot(expression_str): |
| """Optimized solver with better pattern matching and guaranteed termination.""" |
| steps = [] |
| current_expr = expression_str.strip() |
| |
| for iteration in range(MAX_SOLVER_ITERATIONS): |
| |
| current_expr = re.sub(r'\s+', ' ', current_expr).strip() |
| |
| |
| try: |
| final_result = float(current_expr) |
| return {'steps': steps, 'result': final_result} |
| except ValueError: |
| pass |
| |
| reduction_made = False |
|
|
| |
| bracket_match = re.search(r'\(([^()]+)\)', current_expr) |
| if bracket_match: |
| bracket_content = bracket_match.group(1).strip() |
| sub_solver_result = solve_with_cot(bracket_content) |
| if not sub_solver_result: |
| return None |
| |
| result = sub_solver_result['result'] |
| try: |
| formatted_result = format_number(result) |
| except (ValueError, OverflowError): |
| return None |
|
|
| steps.append(random.choice(COT_STEP_TEMPLATES["brackets"]).format(part=bracket_content, result=formatted_result)) |
| current_expr = current_expr[:bracket_match.start()] + ' ' + formatted_result + ' ' + current_expr[bracket_match.end():] |
| reduction_made = True |
| continue |
|
|
| |
| exp_match = re.search(r'(-?\d+(?:\.\d+)?)\s*\^\s*(-?\d+(?:\.\d+)?)', current_expr) |
| if exp_match: |
| base_str, exp_str = exp_match.groups() |
| try: |
| base = float(base_str) |
| exponent = float(exp_str) |
| result = base ** exponent |
| if abs(result) > 1e12 or math.isnan(result) or math.isinf(result): |
| return None |
| formatted_result = format_number(result) |
| except (OverflowError, ValueError, ZeroDivisionError): |
| return None |
|
|
| part = f"{base_str} ^ {exp_str}" |
| steps.append(random.choice(COT_STEP_TEMPLATES["exponents"]).format(part=part, result=formatted_result)) |
| current_expr = current_expr[:exp_match.start()] + ' ' + formatted_result + ' ' + current_expr[exp_match.end():] |
| reduction_made = True |
| continue |
|
|
| |
| mdm_match = re.search(r'(-?\d+(?:\.\d+)?)\s*([*/%])\s*(-?\d+(?:\.\d+)?)', current_expr) |
| if mdm_match: |
| left_str, op, right_str = mdm_match.groups() |
| try: |
| left = float(left_str) |
| right = float(right_str) |
| if op == '*': |
| result = left * right |
| elif op == '/': |
| if right == 0: |
| return None |
| result = left / right |
| elif op == '%': |
| if right == 0: |
| return None |
| result = left % right |
| |
| if abs(result) > 1e12 or math.isnan(result) or math.isinf(result): |
| return None |
| formatted_result = format_number(result) |
| except (OverflowError, ValueError, ZeroDivisionError): |
| return None |
|
|
| part = f"{left_str} {op} {right_str}" |
| steps.append(random.choice(COT_STEP_TEMPLATES["multi_div_mod"]).format(part=part, result=formatted_result)) |
| current_expr = current_expr[:mdm_match.start()] + ' ' + formatted_result + ' ' + current_expr[mdm_match.end():] |
| reduction_made = True |
| continue |
|
|
| |
| |
| as_match = re.search(r'(-?\d+(?:\.\d+)?)\s*([+\-])\s*(-?\d+(?:\.\d+)?)', current_expr) |
| if as_match: |
| left_str, op, right_str = as_match.groups() |
| try: |
| left = float(left_str) |
| right = float(right_str) |
| if op == '+': |
| result = left + right |
| elif op == '-': |
| result = left - right |
| |
| if abs(result) > 1e12 or math.isnan(result) or math.isinf(result): |
| return None |
| formatted_result = format_number(result) |
| except (OverflowError, ValueError): |
| return None |
|
|
| part = f"{left_str} {op} {right_str}" |
| steps.append(random.choice(COT_STEP_TEMPLATES["add_sub"]).format(part=part, result=formatted_result)) |
| current_expr = current_expr[:as_match.start()] + ' ' + formatted_result + ' ' + current_expr[as_match.end():] |
| reduction_made = True |
| continue |
| |
| |
| if not reduction_made: |
| return None |
| |
| |
| return None |
|
|
| def generate_training_example(_=None): |
| """Generate a single training example with retry logic.""" |
| max_retries = 50 |
| for attempt in range(max_retries): |
| try: |
| expression_parts = generate_expression_parts() |
| expression_str = " ".join(map(str, expression_parts)) |
| |
| cot_result = solve_with_cot(expression_str) |
| |
| if cot_result and isinstance(cot_result['result'], (int, float)): |
| final_result = cot_result['result'] |
| |
| |
| if abs(final_result) > 1e12 or (final_result != 0 and abs(final_result) < 1e-4): |
| continue |
| if math.isnan(final_result) or math.isinf(final_result): |
| continue |
|
|
| result_str = format_number(final_result) |
| |
| if len(result_str) > 20: |
| continue |
|
|
| use_words = random.random() < WORD_FORM_CHANCE |
| if use_words: |
| expression_text = ' '.join([number_to_words(p) if isinstance(p, int) else operator_to_word(p) if isinstance(p, str) else str(p) for p in expression_parts]) |
| result_text = number_to_words(int(round(final_result))) |
| completion = random.choice(SIMPLE_COMPLETION_TEMPLATES).format(expression=expression_text, result=result_text) |
| else: |
| expression_text = expression_str |
| result_text = result_str |
| use_reasoning = random.random() < REASONING_CHANCE |
| if use_reasoning: |
| intro = random.choice(COT_INTRO_TEMPLATES).format(expression=expression_text) |
| steps_text = " ".join(cot_result['steps']) |
| finalizer = random.choice(COT_FINALIZER_TEMPLATES).format(result=result_text) |
| completion = f"{intro} {steps_text} {finalizer} </think>" |
| else: |
| completion = random.choice(SIMPLE_COMPLETION_TEMPLATES).format(expression=expression_text, result=result_text) |
|
|
| if random.random() < SENTENCE_FORM_CHANCE: |
| prompt = random.choice(PROMPT_TEMPLATES).format(expression=expression_text) |
| else: |
| prompt = f"{expression_text} =" |
|
|
| |
| prompt = re.sub(r'\s*\(', ' (', prompt) |
| prompt = re.sub(r'\)\s*', ') ', prompt).strip() |
| prompt = re.sub(r'\s+', ' ', prompt) |
| completion = re.sub(r'\s*\(', ' (', completion) |
| completion = re.sub(r'\)\s*', ') ', completion).strip() |
| completion = re.sub(r'\s+', ' ', completion) |
|
|
| return {"prompt": prompt, "completion": " " + completion} |
| except Exception as e: |
| continue |
| |
| return None |
|
|
| def main(): |
| print(f"🔥 Generating {NUM_LINES:,} examples using {NUM_WORKERS} parallel workers...") |
| print(f" Appending to '{OUTPUT_FILE}'...") |
| start_time = time.time() |
| |
| generated_count = 0 |
| failed_count = 0 |
| |
| with open(OUTPUT_FILE, "a", encoding="utf-8") as f: |
| with multiprocessing.Pool(processes=NUM_WORKERS) as pool: |
| results_iterator = pool.imap_unordered(generate_training_example, range(NUM_LINES), chunksize=100) |
| |
| for item in tqdm(results_iterator, total=NUM_LINES, desc="Generating examples"): |
| if item: |
| f.write(json.dumps(item) + "\n") |
| generated_count += 1 |
| else: |
| failed_count += 1 |
|
|
| elapsed_time = time.time() - start_time |
| print(f"\n\n✅ Done! Appended {generated_count:,} new items to '{OUTPUT_FILE}' in {elapsed_time:.2f}s.") |
| print(f" 📊 Success rate: {generated_count}/{NUM_LINES} ({100*generated_count/NUM_LINES:.1f}%)") |
| if failed_count > 0: |
| print(f" ⚠️ {failed_count:,} generation attempts failed (expressions too complex or invalid)") |
|
|
| if __name__ == "__main__": |
| multiprocessing.freeze_support() |
| main() |