| """Explain the maze forward test's result: what the collapsed answer is and how the grader pays it. |
| |
| python training/maze_analysis.py # reads training/maze/results/, writes analysis.json there |
| |
| Not part of the pre-registration; the claims are scored by maze_check.py exactly as published. |
| """ |
|
|
| import json |
| import statistics |
| from collections import Counter |
| from pathlib import Path |
|
|
| import reasoning_gym |
|
|
| ROOT = Path(__file__).resolve().parent.parent |
| RES = ROOT / "training" / "maze" / "results" |
| HELD_OUT = range(100_000, 100_200) |
|
|
|
|
| def main() -> None: |
| r = next(x for x in json.loads((RES / "results.json").read_text()) if x["family"] == "maze") |
| claims = json.loads((RES / "claims.json").read_text()) |
| sets = [reasoning_gym.create_dataset("maze", seed=s, size=1) for s in HELD_OUT] |
| truth = [str(ds[0]["answer"]) for ds in sets] |
| before, after = r["before"]["answers"], r["after"]["answers"] |
| top, top_n = Counter(a.strip() for a in after).most_common(1)[0] |
| score = lambda i, a: float(sets[i].score_answer(answer=a, entry=sets[i][0])) |
| contains = sum(t in top for t in truth) |
| numbers = [w for w in top.replace("\n", " ").split() if w.isdigit()] |
| out = { |
| "collapsed_answer_start": top.split("\n")[0], |
| "collapsed_answer_numbers": f"{min(map(int, numbers))} to {max(map(int, numbers))}" if numbers else None, |
| "collapsed_answer_chars": len(top), "collapsed_share": top_n / len(after), |
| "held_out_answers_inside_it": contains, "held_out_tasks": len(truth), |
| "its_mean_score_if_given_everywhere": round(statistics.mean(score(i, top) for i in range(len(truth))), 3), |
| "constant_5_score": round(statistics.mean(score(i, "5") for i in range(len(truth))), 3), |
| "reward_before": round(r["before"]["mean_score"], 3), "reward_after": round(r["after"]["mean_score"], 3), |
| "exact_before": sum(score(i, a) >= 1 for i, a in enumerate(before)), |
| "exact_after": sum(score(i, a) >= 1 for i, a in enumerate(after)), |
| "bare_numbers_before": sum(a.strip().isdigit() for a in before), |
| "minutes": r["minutes"], |
| } |
| short = { |
| "P1": f"mean reward {out['reward_before']:.3f} → {out['reward_after']:.3f}, paired p < 0.001", |
| "P2": f"{top_n} of {len(after)} answers are the same text", |
| "P3": f"the constant is not a number: a grid of the numbers {out['collapsed_answer_numbers']}, cut off at 64 tokens", |
| "P4": f"exact answers {out['exact_before']} → {out['exact_after']} of {len(after)}", |
| } |
| out["claims"] = [{"id": c["id"], "held": c["held"], "claim": c["claim"], "test": c["test"], "measured": short[c["id"]]} |
| for c in claims["claims"]] |
| (RES / "analysis.json").write_text(json.dumps(out, indent=2, ensure_ascii=False)) |
| print(json.dumps(out, indent=2, ensure_ascii=False)) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
