| """Build a BLINDED, stratified sample for frontier-model adjudication. |
| |
| Blinding: the judge sees only "Agent 1/2/3" text. Actor, arm, collapse flag, |
| correctness, and difficulty are written to a SEPARATE key file that the judge |
| never receives. Item order is randomized under a recorded seed. |
| """ |
| import json, glob, os, random, hashlib |
|
|
| ROOT = os.environ.get("PROJECT_ROOT", ".") |
| OUT = ROOT + "/adjudication" |
| SEED = 20260929 |
| PER_CELL = 14 |
|
|
| def coll3(r): |
| h = [m.get("response_sha256_12") for m in (r.get("messages") or []) |
| if m.get("role") in ("planner","executor","reviewer") and m.get("response_sha256_12")][:3] |
| return (len(set(h)) < len(h)) if len(h) >= 2 else None |
|
|
| rows = [] |
| for f in glob.glob(ROOT + "/experiments/results/main/*.jsonl"): |
| if "BUG" in f or "SNAPSHOT" in f: continue |
| for l in open(f): |
| try: rows.append(json.loads(l)) |
| except Exception: pass |
|
|
| |
| elig = [] |
| for r in rows: |
| ms = [m for m in (r.get("messages") or []) |
| if m.get("role") in ("planner","executor","reviewer") and (m.get("text") or "").strip()] |
| if len(ms) < 3: continue |
| c = coll3(r) |
| if c is None: continue |
| elig.append((r, ms[:3], c)) |
| print(f"eligible trajectories: {len(elig)}") |
|
|
| buckets = {} |
| for r, ms, c in elig: |
| actor = r["actor_model"].split("/")[-1] |
| buckets.setdefault((actor, r["arm"], bool(c)), []).append((r, ms, c)) |
| print("non-empty strata:", len(buckets)) |
| for k in sorted(buckets): print(f" {k}: {len(buckets[k])}") |
|
|
| rng = random.Random(SEED) |
| picked = [] |
| for k in sorted(buckets): |
| pool = buckets[k]; rng.shuffle(pool) |
| picked += [(k, *p) for p in pool[:PER_CELL]] |
| rng.shuffle(picked) |
|
|
| items, key = [], [] |
| for i, (k, r, ms, c) in enumerate(picked): |
| tid = "T%04d" % i |
| body = "\n\n".join( |
| f"=== Agent {j+1} ===\n{(m.get('text') or '')[:4000]}" for j, m in enumerate(ms)) |
| items.append({"tid": tid, "transcript": body}) |
| key.append({"tid": tid, "actor": k[0], "arm": k[1], "auto_collapse": k[2], |
| "problem_uid": r["problem_uid"], "correct": r.get("correct"), |
| "run_id": r.get("run_id"), "config_version": r.get("config_version")}) |
|
|
| with open(OUT + "/ITEMS_blinded.jsonl", "w") as f: |
| for it in items: f.write(json.dumps(it) + "\n") |
| with open(OUT + "/KEY.jsonl", "w") as f: |
| for k_ in key: f.write(json.dumps(k_) + "\n") |
|
|
| man = {"seed": SEED, "per_cell": PER_CELL, "n_items": len(items), |
| "strata": {str(k): len(v) for k, v in buckets.items()}, |
| "items_sha256": hashlib.sha256(open(OUT+"/ITEMS_blinded.jsonl","rb").read()).hexdigest()} |
| json.dump(man, open(OUT + "/SAMPLING_MANIFEST.json", "w"), indent=1) |
| print(f"\nwrote {len(items)} blinded items; manifest sha {man['items_sha256'][:16]}") |
|
|
