Download scripts/make_pseudocode_thinking_dataset.py from oof-baroomf/mac-mini-research-log: direct link, hf CLI and curl.
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https://huggingface.co/datasets/oof-baroomf/mac-mini-research-log/resolve/main/scripts/make_pseudocode_thinking_dataset.py
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curl -L -o make_pseudocode_thinking_dataset.py https://huggingface.co/datasets/oof-baroomf/mac-mini-research-log/resolve/main/scripts/make_pseudocode_thinking_dataset.py
4.19 kB
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import random | |
| from pathlib import Path | |
| SYSTEM_PROMPT = ( | |
| "Solve exact-answer reasoning problems. " | |
| "Inside the think block, reason in pseudocode only. " | |
| "Do not use English prose inside the think block. " | |
| "After thinking, end with exactly one line formatted as ANSWER: <answer>." | |
| ) | |
| USER_INSTRUCTION = ( | |
| "Inside the think block, reason in pseudocode only. " | |
| "Do not use English prose inside the think block. " | |
| "Prefer lines like `x = 51`, `x = x + 34`, `state -> x = 85`." | |
| ) | |
| def parse_args() -> argparse.Namespace: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--output-dir", required=True) | |
| parser.add_argument("--train", type=int, default=2000) | |
| parser.add_argument("--valid", type=int, default=200) | |
| parser.add_argument("--test", type=int, default=200) | |
| parser.add_argument("--seed", type=int, default=20260406) | |
| return parser.parse_args() | |
| def make_arithmetic_task(rng: random.Random, task_id: str) -> dict[str, str]: | |
| a = rng.randint(14, 49) | |
| b = rng.randint(5, 17) | |
| c = rng.randint(3, 11) | |
| d = rng.randint(2, 9) | |
| e = rng.randint(6, 15) | |
| start = rng.randint(20, 80) | |
| s1 = start + a | |
| s2 = s1 + b | |
| s3 = s2 * c | |
| sub = d * e | |
| answer = s3 - sub | |
| prompt = ( | |
| f"Start with {start}. Add {a}. Add {b}. Multiply the result by {c}. " | |
| f"Subtract {d} times {e}. What number do you get?" | |
| ) | |
| think = "\n".join( | |
| [ | |
| f"x = {start}", | |
| f"x = x + {a} -> {s1}", | |
| f"x = x + {b} -> {s2}", | |
| f"x = x * {c} -> {s3}", | |
| f"y = {d} * {e} -> {sub}", | |
| f"x = x - y -> {answer}", | |
| ] | |
| ) | |
| return {"id": task_id, "kind": "arithmetic", "prompt": prompt, "answer": str(answer), "think": think} | |
| def make_state_task(rng: random.Random, task_id: str) -> dict[str, str]: | |
| base_x = rng.randint(2, 8) | |
| base_y = rng.randint(3, 9) | |
| base_z = rng.randint(4, 10) | |
| x = base_x | |
| y = base_y | |
| z = base_z | |
| steps: list[str] = [ | |
| f"x = {base_x}", | |
| f"y = {base_y}", | |
| f"z = {base_z}", | |
| ] | |
| x = x + y | |
| steps.append(f"x = x + y -> {x}") | |
| y = y * 2 | |
| steps.append(f"y = y * 2 -> {y}") | |
| z = z + x - 1 | |
| steps.append(f"z = z + x - 1 -> {z}") | |
| x = x * z | |
| steps.append(f"x = x * z -> {x}") | |
| y = y + z | |
| steps.append(f"y = y + z -> {y}") | |
| answer = x - y | |
| steps.append(f"result = x - y -> {answer}") | |
| prompt = ( | |
| "Run this exact program and report the final value of x - y.\n\n" | |
| f"x = {base_x}\n" | |
| f"y = {base_y}\n" | |
| f"z = {base_z}\n" | |
| "x = x + y\n" | |
| "y = y * 2\n" | |
| "z = z + x - 1\n" | |
| "x = x * z\n" | |
| "y = y + z" | |
| ) | |
| think = "\n".join(steps) | |
| return {"id": task_id, "kind": "state", "prompt": prompt, "answer": str(answer), "think": think} | |
| def make_task(rng: random.Random, task_id: str) -> dict[str, str]: | |
| if rng.random() < 0.5: | |
| return make_arithmetic_task(rng, task_id) | |
| return make_state_task(rng, task_id) | |
| def make_record(task: dict[str, str]) -> dict: | |
| assistant = f"<think>\n{task['think']}\n</think>\n\nANSWER: {task['answer']}" | |
| user = f"{USER_INSTRUCTION}\n\nProblem:\n{task['prompt']}" | |
| return { | |
| "messages": [ | |
| {"role": "system", "content": SYSTEM_PROMPT}, | |
| {"role": "user", "content": user}, | |
| {"role": "assistant", "content": assistant}, | |
| ] | |
| } | |
| def write_split(path: Path, count: int, seed: int) -> None: | |
| rng = random.Random(seed) | |
| with path.open("w", encoding="utf-8") as handle: | |
| for index in range(count): | |
| task = make_task(rng, f"{path.stem}-{index:05d}") | |
| handle.write(json.dumps(make_record(task)) + "\n") | |
| def main() -> None: | |
| args = parse_args() | |
| output_dir = Path(args.output_dir) | |
| output_dir.mkdir(parents=True, exist_ok=False) | |
| write_split(output_dir / "train.jsonl", args.train, args.seed) | |
| write_split(output_dir / "valid.jsonl", args.valid, args.seed + 1) | |
| write_split(output_dir / "test.jsonl", args.test, args.seed + 2) | |
| if __name__ == "__main__": | |
| main() | |