| |
| """Verify MDU-RiskText/MDU-RiskBench row alignment and file hashes.""" |
|
|
| from __future__ import annotations |
|
|
| import gzip |
| import hashlib |
| import json |
| from collections import Counter |
| from pathlib import Path |
|
|
| ROOT = Path(__file__).resolve().parents[1] |
| SETTINGS = ("video_only", "non_video_only", "all_filtered_text") |
| SPLITS = ("train", "validation", "test") |
|
|
|
|
| def digest(path: Path) -> str: |
| value = hashlib.sha256() |
| with path.open("rb") as handle: |
| for chunk in iter(lambda: handle.read(1024 * 1024), b""): |
| value.update(chunk) |
| return value.hexdigest() |
|
|
|
|
| def rows(path: Path): |
| with gzip.open(path, "rt", encoding="utf-8") as handle: |
| for line in handle: |
| if line.strip(): |
| yield json.loads(line) |
|
|
|
|
| def main() -> None: |
| manifest = json.loads((ROOT / "MANIFEST.json").read_text(encoding="utf-8")) |
| for entry in manifest["files"]: |
| path = ROOT / entry["path"] |
| if path.stat().st_size != entry["bytes"]: |
| raise SystemExit(f"size mismatch: {entry['path']}") |
| if digest(path) != entry["sha256"]: |
| raise SystemExit(f"hash mismatch: {entry['path']}") |
|
|
| identities = {} |
| for setting in SETTINGS: |
| current = {} |
| for split in SPLITS: |
| path = ROOT / "MDU-RiskText" / setting / f"{split}.jsonl.gz" |
| for row in rows(path): |
| if row["split"] != split or row["benchmark_setting"] != setting: |
| raise SystemExit(f"metadata mismatch: {path}") |
| package = row["llm_evidence_package"] |
| if package["sample_id"] != row["sample_id"]: |
| raise SystemExit(f"package ID mismatch: {row['sample_id']}") |
| if json.loads(row["text_evidence"]) != package: |
| raise SystemExit(f"text package mismatch: {row['sample_id']}") |
| current[row["sample_id"]] = ( |
| split, |
| row["target_label"]["risk_level"], |
| ) |
| if len(current) != 850: |
| raise SystemExit(f"{setting}: expected 850 records, got {len(current)}") |
| if identities and current != identities: |
| raise SystemExit(f"cross-setting identity mismatch: {setting}") |
| identities = current |
|
|
| split_counts = Counter(split for split, _ in identities.values()) |
| label_counts = Counter(label for _, label in identities.values()) |
| expected_splits = {"train": 593, "validation": 131, "test": 126} |
| expected_labels = { |
| "no_observed_risk": 226, |
| "mild_risk": 432, |
| "moderate_risk": 172, |
| "high_risk": 20, |
| } |
| if dict(split_counts) != expected_splits: |
| raise SystemExit(f"split counts differ: {dict(split_counts)}") |
| if dict(label_counts) != expected_labels: |
| raise SystemExit(f"label counts differ: {dict(label_counts)}") |
| print("Verified 850 aligned participants across 3 settings and 9 data files.") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
