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https://huggingface.co/datasets/aboiko/claimcheck-bench/resolve/main/validate.py
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2.99 kB
| """Validate this publication: python -m pip install pyarrow; python validate.py. | |
| Checks the preserved source hashes, split counts, Parquet schema, and exact | |
| reconstruction of every canonical trace. Uses no network or API credentials. | |
| """ | |
| from collections import Counter | |
| from hashlib import sha256 | |
| import json | |
| from pathlib import Path | |
| import pyarrow as pa | |
| import pyarrow.parquet as pq | |
| ROOT = Path(__file__).resolve().parent | |
| COLUMNS = [ | |
| "trace_id", "domain", "instruction", "final_claim_text", "outcome", | |
| "failure_kind", "evidence", "trace_json", | |
| ] | |
| SCHEMA = pa.schema([(column, pa.string()) for column in COLUMNS]) | |
| def main() -> None: | |
| manifest = json.loads((ROOT / "manifest.json").read_text()) | |
| provenance = json.loads((ROOT / "provenance.json").read_text()) | |
| seen = set() | |
| for split, expected_count in [("train", 180), ("test", 120)]: | |
| raw_path = ROOT / f"traces.{split}.jsonl" | |
| raw_bytes = raw_path.read_bytes() | |
| assert sha256(raw_bytes).hexdigest() == manifest["sha256"][raw_path.name] | |
| lines = raw_bytes.decode("utf-8").splitlines() | |
| traces = [json.loads(line) for line in lines] | |
| table = pq.read_table(ROOT / f"{split}.parquet") | |
| assert table.schema == SCHEMA, table.schema | |
| assert table.num_rows == len(traces) == expected_count | |
| assert all(column.null_count == 0 for column in table.columns) | |
| rows = table.to_pylist() | |
| for line, trace, row in zip(lines, traces, rows): | |
| assert row["trace_json"] == line | |
| assert json.loads(row["trace_json"]) == trace | |
| expected = { | |
| "trace_id": trace["trace_id"], | |
| "domain": trace["task"]["domain"], | |
| "instruction": trace["task"]["instruction"], | |
| "final_claim_text": trace["final_claim"]["text"], | |
| "outcome": trace["ground_truth"]["outcome"], | |
| "failure_kind": trace["ground_truth"]["details"].get("injection", "none"), | |
| "evidence": trace["ground_truth"]["details"]["evidence"], | |
| "trace_json": line, | |
| } | |
| assert row == expected | |
| assert row["trace_id"] not in seen | |
| seen.add(row["trace_id"]) | |
| assert dict(Counter(row["outcome"] for row in rows)) == provenance["splits"][split]["outcomes"] | |
| assert dict(Counter(row["domain"] for row in rows)) == provenance["splits"][split]["domains"] | |
| print(f"{split}: {expected_count} traces; hashes, columns, labels and exact reconstruction OK") | |
| for relpath, digest in provenance["preserved_files_sha256"].items(): | |
| assert sha256((ROOT / relpath).read_bytes()).hexdigest() == digest, relpath | |
| for relpath, digest in provenance["derived_files_sha256"].items(): | |
| assert sha256((ROOT / relpath).read_bytes()).hexdigest() == digest, relpath | |
| assert len(seen) == 300 | |
| print("PASS: 300 unique traces; all recorded file hashes verified") | |
| if __name__ == "__main__": | |
| main() | |