Datasets:
Download provenance/source_code/ops/exp_scaling/materialize_modebench_level3.py from od2961/ModeBench: direct link, hf CLI and curl.
- Browser
- Download file 6.24 kB
-
https://huggingface.co/datasets/od2961/ModeBench/resolve/main/provenance/source_code/ops/exp_scaling/materialize_modebench_level3.py
- Command line
-
hf download hf://datasets/od2961/ModeBench/provenance/source_code/ops/exp_scaling/materialize_modebench_level3.py
-
curl -L -o materialize_modebench_level3.py https://huggingface.co/datasets/od2961/ModeBench/resolve/main/provenance/source_code/ops/exp_scaling/materialize_modebench_level3.py
6.24 kB
| #!/usr/bin/env python3 | |
| """Build disjoint, support-matched Level 3 development candidate pools.""" | |
| from __future__ import annotations | |
| import argparse | |
| from collections import Counter | |
| import hashlib | |
| import json | |
| from pathlib import Path | |
| import sys | |
| ROOT = Path(__file__).resolve().parents[2] | |
| for path in (ROOT / "src", ROOT / "ops", ROOT / "ops/exp_scaling"): | |
| if str(path) not in sys.path: | |
| sys.path.insert(0, str(path)) | |
| from materialize_modebench_harder_v2 import ( | |
| DOMAINS, LEVEL1, SPLITS, existing_ids, identity_set, load_rows, modes, row_hash, | |
| ) | |
| REFERENCE = ROOT / "var/data/modebench_harder_v2_matched_r5" | |
| DEFAULT_OUTPUT = ROOT / "var/data/modebench_level3_calibration_v1" | |
| SEEDS = {domain: 6317100 + 10000 * i for i, domain in enumerate(DOMAINS)} | |
| def write_json(path: Path, value) -> None: | |
| path.parent.mkdir(parents=True, exist_ok=True) | |
| with path.open("x") as handle: | |
| json.dump(value, handle, indent=2, sort_keys=True) | |
| handle.write("\n") | |
| def historical_ids(domain: str) -> set: | |
| blocked = existing_ids(domain) | |
| data_root = ROOT / "var/data" | |
| prior_roots = set(data_root.glob("modebench_harder*")) | set(data_root.glob("modebench_level3*")) | |
| for root in sorted(prior_roots): | |
| if not root.is_dir(): | |
| continue | |
| for split, (_, dataset_split) in SPLITS.items(): | |
| path = root / domain / split | |
| if path.is_dir() and (path / "dataset_dict.json").exists(): | |
| from datasets import load_from_disk | |
| dataset = load_from_disk(str(path)) | |
| for subset in dataset.values(): | |
| blocked |= identity_set(domain, [dict(row) for row in subset]) | |
| return blocked | |
| def reference_rows(domain: str, split: str) -> list[dict]: | |
| return load_rows(REFERENCE / domain / split, SPLITS[split][1]) | |
| def generator(domain: str): | |
| if domain == "graph_coloring": | |
| from modebench_level3_graph_v6 import build_pool | |
| elif domain == "python_factors": | |
| from modebench_level3_python_v4 import build_pool | |
| elif domain == "mathir": | |
| from modebench_level3_mathir_sign_v1 import build_pool | |
| elif domain == "countdown": | |
| from modebench_level3_countdown_v3 import build_pool | |
| else: | |
| from modebench_level3_constraints import build_pool | |
| return build_pool | |
| def verify_rows(domain: str, rows: list[dict], reference: list[dict], | |
| target: Counter, blocked: set) -> dict: | |
| ids = identity_set(domain, rows) | |
| def contract(row): | |
| return (row["modebench_task"], json.loads(row["answer"])["verifier"]) | |
| checks = { | |
| "row_count": len(rows) == sum(target.values()), | |
| "unique_identities": len(ids) == len(rows), | |
| "historical_and_cross_split_disjointness": not (ids & blocked), | |
| "exact_support_histogram": modes(rows) == target, | |
| "unchanged_verifier_contract": {contract(r) for r in rows} == | |
| {contract(r) for r in reference}, | |
| } | |
| if not all(checks.values()): | |
| raise RuntimeError(f"{domain} structural checks failed: {checks}") | |
| return checks | |
| def build_development_pool(domain: str, difficulty: int, output: Path, | |
| multiplier: int = 1) -> dict: | |
| directory = output / "pools" / domain | |
| rows_path = directory / f"difficulty_{difficulty}.jsonl" | |
| manifest_path = rows_path.with_suffix(".identity.json") | |
| if rows_path.exists() or manifest_path.exists(): | |
| raise FileExistsError(rows_path) | |
| reference = reference_rows(domain, "dev") | |
| target = Counter({k: v * multiplier for k, v in modes(reference).items()}) | |
| blocked = historical_ids(domain) | |
| pool_directories = {directory} | |
| pool_directories.update(root / "pools" / domain for root in (ROOT / "var/data").glob("modebench_level3_calibration*")) | |
| for pool_directory in sorted(pool_directories): | |
| for path in sorted(pool_directory.glob("*.jsonl")): | |
| blocked |= identity_set(domain, [json.loads(line) for line in path.read_text().splitlines()]) | |
| seed = SEEDS[domain] + 1000 * difficulty | |
| extra = {} | |
| if domain == "pantry": | |
| extra["joint_target"] = Counter({k: v * multiplier for k, v in | |
| Counter((int(r["answer_mode_count"]), r["answer_mode_family"]) for r in reference).items()}) | |
| rows = generator(domain)(domain, target, blocked, seed, "level3_development_pool", | |
| difficulty, multiplier=1, **extra) | |
| checks = verify_rows(domain, rows, reference, target, blocked) | |
| if domain == "pantry": | |
| checks["exact_family_histogram"] = Counter((int(r["answer_mode_count"]), r["answer_mode_family"]) for r in rows) == extra["joint_target"] | |
| if not checks["exact_family_histogram"]: | |
| raise RuntimeError("Pantry family histogram drift") | |
| directory.mkdir(parents=True, exist_ok=True) | |
| with rows_path.open("x") as handle: | |
| for row in rows: | |
| handle.write(json.dumps(row, sort_keys=True) + "\n") | |
| record = { | |
| "schema": "modebench_level3_development_pool_v1", "domain": domain, | |
| "difficulty": difficulty, "seed": seed, "rows": len(rows), | |
| "rows_sha256": row_hash(rows), "checks": checks, | |
| "support_histogram": dict(sorted(target.items())), | |
| "source_sha256": hashlib.sha256(Path(sys.modules[generator(domain).__module__].__file__).read_bytes()).hexdigest(), | |
| "information_boundary": "development candidates only; no confirmation model outcomes used", | |
| } | |
| write_json(manifest_path, record) | |
| return record | |
| def main(): | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--domain", required=True, choices=DOMAINS) | |
| parser.add_argument("--difficulty", required=True, type=int, choices=range(4)) | |
| parser.add_argument("--output-root", type=Path, default=DEFAULT_OUTPUT) | |
| parser.add_argument("--multiplier", type=int, default=1) | |
| args = parser.parse_args() | |
| if args.multiplier < 1: | |
| parser.error("multiplier must be positive") | |
| print(json.dumps(build_development_pool(args.domain, args.difficulty, | |
| args.output_root, args.multiplier), sort_keys=True)) | |
| if __name__ == "__main__": | |
| main() | |