Datasets:
File size: 3,005 Bytes
4b8d886 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 | #!/usr/bin/env python3
"""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()
|