| | 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() |