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Download scripts/verify_dataset.py from twistshan/Sudoku_DLM_Reasoning: direct link, hf CLI and curl.
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https://huggingface.co/datasets/twistshan/Sudoku_DLM_Reasoning/resolve/main/scripts/verify_dataset.py
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hf download hf://datasets/twistshan/Sudoku_DLM_Reasoning/scripts/verify_dataset.py
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curl -L -o verify_dataset.py https://huggingface.co/datasets/twistshan/Sudoku_DLM_Reasoning/resolve/main/scripts/verify_dataset.py
11.4 kB
| """Independently verify a built Sudoku_DLM_Reasoning release.""" | |
| 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() | |