#!/usr/bin/env python3 """Re-score the stored per-item outputs of VeriSpoof-Base / -Plus (reference_results//.parquet) with scripts/score.py and compare with the metrics reported by the research evaluation (reported_metrics.json). python scripts/check_reference.py [--bench ] Metrics that need model log-probabilities not stored per item (ad_reasoning eer_loc, flip_rate, head_* token-head metrics, held-out faithfulness rates) are listed as not re-scorable. """ import argparse import json import os import sys sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) import score as SC # noqa: E402 HERE = os.path.dirname(os.path.abspath(__file__)) def main(): ap = argparse.ArgumentParser() ap.add_argument("--bench", default=os.path.join(HERE, "..")) a = ap.parse_args() ok = True for model in ("verispoof_base", "verispoof_plus"): d = f"{a.bench}/reference_results/{model}" rep = json.load(open(f"{d}/reported_metrics.json")) n_cmp, worst, skipped = 0, (0.0, None), set() for s, r in rep.items(): items = SC.load_items(a.bench, s) m = SC.score_subset(items, SC.read_table(f"{d}/{s}"), None, s) for k, v in r.items(): if not isinstance(v, (int, float)) or isinstance(v, bool): continue if k not in m or m[k] is None: skipped.add(k) continue diff = abs(m[k] - v) n_cmp += 1 if diff > worst[0]: worst = (diff, f"{s}:{k} rescored {m[k]} reported {v}") if diff > 1e-3: ok = False print(f"MISMATCH {model} {s} {k}: rescored {m[k]} reported {v}") print(f"{model}: {len(rep)} subsets, {n_cmp} metric values compared, max |diff| {worst[0]:.2g} ({worst[1]}); " f"not re-scorable from stored outputs: {sorted(skipped)}") print("ALL MATCH" if ok else "SOME MISMATCHES") if __name__ == "__main__": main()