ModeBench / provenance /source_code /ops /exp_scaling /materialize_modebench_level3.py
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Release frozen ModeBench Levels 1, 2 and 3 with verified splits and executable evaluation
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#!/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()