Datasets:
File size: 11,389 Bytes
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from __future__ import annotations
import argparse
import csv
import hashlib
import json
from collections import Counter
from pathlib import Path
import pyarrow as pa
import pyarrow.parquet as pq
EXPECTED_BUCKETS = {
"train": {"original": 65_536, "r0": 65_536, "r1_4": 65_536},
"validation": {"original": 2_048, "r0": 2_048, "r1_4": 2_048},
"test": {"original": 1_000, "r0": 1_000, "r1_4": 1_000, "r5_19": 1_000},
"test_ood_confirm": {"r5_19": 4_000},
}
EXPECTED_SUBBUCKETS = {
"test": {
"original": 1_000,
"r0": 1_000,
"r1_2": 250,
"r2_3": 250,
"r3_4": 250,
"r4_5": 250,
"r5_7": 250,
"r8_11": 250,
"r12_15": 250,
"r16_19": 250,
},
"test_ood_confirm": {
"r5_7": 1_000,
"r8_11": 1_000,
"r12_15": 1_000,
"r16_19": 1_000,
},
}
EXPECTED_SCHEMA = pa.schema(
[
pa.field("example_id", pa.string(), nullable=False),
pa.field("puzzle_id", pa.string(), nullable=False),
pa.field("digit_normalized_id", pa.string(), nullable=False),
pa.field("puzzle", pa.string(), nullable=False),
pa.field("solution", pa.string(), nullable=False),
pa.field("difficulty_bucket", pa.string(), nullable=False),
pa.field("difficulty_subbucket", pa.string(), nullable=False),
pa.field("source_family", pa.string(), nullable=False),
pa.field("source_collection", pa.string(), nullable=False),
pa.field("official_rating", pa.float64(), nullable=True),
pa.field("rating_type", pa.string(), nullable=False),
pa.field("clues", pa.int16(), nullable=False),
pa.field("upstream_split", pa.string(), nullable=False),
pa.field("release_split", pa.string(), nullable=False),
pa.field("evaluation_role", pa.string(), nullable=False),
pa.field("is_ood", pa.bool_(), nullable=False),
pa.field("source_file", pa.string(), nullable=False),
pa.field("source_row_index", pa.int64(), nullable=False),
pa.field("stratum", pa.string(), nullable=False),
]
)
VERIFY_COLUMNS = [
"example_id",
"puzzle_id",
"digit_normalized_id",
"puzzle",
"solution",
"difficulty_bucket",
"difficulty_subbucket",
"clues",
"upstream_split",
"release_split",
"evaluation_role",
"is_ood",
"source_row_index",
]
def sha256_text(value: str) -> str:
return hashlib.sha256(value.encode("utf-8")).hexdigest()
def sha256_file(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def digit_normalized_id(puzzle: str, solution: str) -> str:
mapping: dict[str, str] = {}
for digit in solution:
mapping.setdefault(digit, str(len(mapping) + 1))
if len(mapping) != 9:
raise AssertionError("solution does not contain all digits")
normalized_puzzle = "".join("0" if digit == "0" else mapping[digit] for digit in puzzle)
normalized_solution = "".join(mapping[digit] for digit in solution)
return sha256_text(f"{normalized_puzzle}|{normalized_solution}")
def validate_sudoku(puzzle: str, solution: str) -> None:
assert len(puzzle) == 81 and set(puzzle) <= set("0123456789")
assert len(solution) == 81 and set(solution) <= set("123456789")
assert all(clue == "0" or clue == solution[index] for index, clue in enumerate(puzzle))
expected = set("123456789")
units = [solution[index : index + 9] for index in range(0, 81, 9)]
units.extend(solution[index::9] for index in range(9))
for box_row in range(3):
for box_col in range(3):
units.append(
"".join(
solution[row * 9 + box_col * 3 : row * 9 + box_col * 3 + 3]
for row in range(box_row * 3, box_row * 3 + 3)
)
)
assert all(set(unit) == expected for unit in units)
def expected_role(split: str, bucket: str) -> tuple[str, bool]:
if split == "train":
return "train_id", False
if split == "validation":
return "validation_id", False
if split == "test":
return ("test_ood", True) if bucket == "r5_19" else ("test_id", False)
return "confirm_ood", True
def verify_split(path: Path, split: str) -> tuple[dict[str, set[str]], dict[str, object]]:
file_schema = pq.read_schema(path)
if not file_schema.equals(EXPECTED_SCHEMA, check_metadata=False):
raise AssertionError(f"{split}: schema mismatch\n{file_schema}\n!=\n{EXPECTED_SCHEMA}")
table = pq.read_table(path, columns=VERIFY_COLUMNS)
expected_rows = sum(EXPECTED_BUCKETS[split].values())
assert table.num_rows == expected_rows, (split, table.num_rows, expected_rows)
columns = table.to_pydict()
ids = {name: set() for name in ("example_id", "puzzle_id", "digit_normalized_id")}
buckets: Counter[str] = Counter()
subbuckets: Counter[str] = Counter()
expected_upstream = "train" if split in {"train", "validation"} else "test"
for index in range(table.num_rows):
puzzle = columns["puzzle"][index]
solution = columns["solution"][index]
bucket = columns["difficulty_bucket"][index]
validate_sudoku(puzzle, solution)
assert columns["example_id"][index] == sha256_text(f"{puzzle}|{solution}")
assert columns["puzzle_id"][index] == sha256_text(puzzle)
assert columns["digit_normalized_id"][index] == digit_normalized_id(puzzle, solution)
assert columns["clues"][index] == sum(value != "0" for value in puzzle)
assert columns["upstream_split"][index] == expected_upstream
assert columns["release_split"][index] == split
role, is_ood = expected_role(split, bucket)
assert columns["evaluation_role"][index] == role
assert columns["is_ood"][index] is is_ood
assert columns["source_row_index"][index] >= 0
buckets[bucket] += 1
subbuckets[columns["difficulty_subbucket"][index]] += 1
for name in ids:
value = columns[name][index]
if value in ids[name]:
raise AssertionError(f"{split}: duplicate {name} {value}")
ids[name].add(value)
assert dict(buckets) == EXPECTED_BUCKETS[split], (split, buckets)
if split in EXPECTED_SUBBUCKETS:
assert dict(subbuckets) == EXPECTED_SUBBUCKETS[split], (split, subbuckets)
return ids, {
"rows": table.num_rows,
"difficulty_buckets": dict(sorted(buckets.items())),
"difficulty_subbuckets": dict(sorted(subbuckets.items())),
"sha256": sha256_file(path),
}
def count_csv_rows(path: Path) -> int:
with path.open("r", encoding="utf-8", newline="") as handle:
reader = csv.reader(handle)
next(reader)
return sum(1 for _ in reader)
def verify_raw_snapshot(root: Path, manifest: dict[str, object]) -> dict[str, object] | None:
raw_manifest_name = manifest.get("raw_snapshot_file")
if raw_manifest_name is None:
return None
raw_manifest = json.loads((root / str(raw_manifest_name)).read_text(encoding="utf-8"))
assert raw_manifest["label"] == "raw"
rows = 0
for relative_path, declared in raw_manifest["files"].items():
path = root / relative_path
assert relative_path.startswith("raw/"), relative_path
assert path.is_file(), relative_path
assert path.stat().st_size == declared["bytes"], relative_path
assert sha256_file(path) == declared["sha256"], relative_path
observed_rows = count_csv_rows(path)
assert observed_rows == declared["rows"], relative_path
release_declared = manifest["files"][relative_path]
assert release_declared["sha256"] == declared["sha256"], relative_path
assert release_declared["rows"] == observed_rows, relative_path
rows += observed_rows
assert rows == raw_manifest["candidate_rows"]
return {"label": "raw", "files": len(raw_manifest["files"]), "rows": rows}
def verify_release(
root: Path,
expected_version: str | None = None,
expected_seed: str | None = None,
) -> dict[str, object]:
manifest = json.loads((root / "metadata/manifest.json").read_text(encoding="utf-8"))
audit = json.loads((root / "metadata/audit.json").read_text(encoding="utf-8"))
split_spec = json.loads(
(root / "metadata/split_spec.json").read_text(encoding="utf-8")
)
assert manifest["dataset_id"] == "stwistzz/Sudoku_DLM_Reasoning"
dataset_version = str(manifest["dataset_version"])
if expected_version is not None:
assert dataset_version == expected_version, (dataset_version, expected_version)
selection_seed = str(manifest["seed"])
if expected_seed is not None:
assert selection_seed == expected_seed, (selection_seed, expected_seed)
assert audit["dataset_version"] == dataset_version
assert split_spec["dataset_version"] == dataset_version
assert str(audit["seed"]) == selection_seed
assert str(split_spec["seed"]) == selection_seed
split_ids: dict[str, dict[str, set[str]]] = {}
summaries: dict[str, object] = {}
for split in EXPECTED_BUCKETS:
relative_path = f"data/{split}.parquet"
ids, summary = verify_split(root / relative_path, split)
split_ids[split] = ids
summaries[split] = summary
declared = manifest["files"][relative_path]
assert declared["rows"] == summary["rows"]
assert declared["sha256"] == summary["sha256"]
split_names = list(EXPECTED_BUCKETS)
overlaps: dict[str, dict[str, int]] = {}
for left_index, left in enumerate(split_names):
for right in split_names[left_index + 1 :]:
key = f"{left}__vs__{right}"
overlaps[key] = {
name: len(split_ids[left][name] & split_ids[right][name])
for name in split_ids[left]
}
assert not any(value for result in overlaps.values() for value in result.values())
assert audit["pairwise_overlap"] == overlaps
assert audit["strict_selected_rows_verified"] == sum(
sum(counts.values()) for counts in EXPECTED_BUCKETS.values()
)
for relative_path, declared in manifest["files"].items():
path = root / relative_path
assert path.is_file(), relative_path
assert path.stat().st_size == declared["bytes"], relative_path
assert sha256_file(path) == declared["sha256"], relative_path
raw_summary = verify_raw_snapshot(root, manifest)
return {
"dataset_version": dataset_version,
"selection_seed": selection_seed,
"splits": summaries,
"pairwise_overlap": overlaps,
"raw_snapshot": raw_summary,
}
def main() -> None:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("release_dir", type=Path)
parser.add_argument("--expected-version")
parser.add_argument("--expected-seed")
args = parser.parse_args()
result = verify_release(
args.release_dir.resolve(), args.expected_version, args.expected_seed
)
print(json.dumps(result, indent=2, sort_keys=True))
print("VERIFICATION_OK")
if __name__ == "__main__":
main()
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