scripts/compute_benchpress_metrics.py

#!/usr/bin/env python
from __future__ import annotations

import argparse
from pathlib import Path

from benchpress_eval.data import load_dataset
from benchpress_eval.io import read_table, write_csv
from benchpress_eval.metrics import align_predictions, compute_overall_metrics, per_edit_type_auc


def main() -> None:
    parser = argparse.ArgumentParser(description="Compute EditJudge-Bench AUROC metrics for one judge run.")
    parser.add_argument("--dataset-root", required=True, help="Folder containing benchmark.parquet.")
    parser.add_argument("--predictions", required=True, help="CSV/JSONL/Parquet prediction file.")
    parser.add_argument("--out-dir", required=True, help="Directory for metric CSV outputs.")
    parser.add_argument("--score-col", default=None, help="Prediction score column; auto-detected by default.")
    args = parser.parse_args()

    out_dir = Path(args.out_dir)
    dataset = load_dataset(args.dataset_root)
    predictions = read_table(args.predictions)
    aligned = align_predictions(dataset, predictions, score_col=args.score_col)

    write_csv(compute_overall_metrics(aligned), out_dir / "overall_metrics.csv")
    write_csv(per_edit_type_auc(aligned), out_dir / "per_edit_type_auc.csv")


if __name__ == "__main__":
    main()