| |
| 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() |
|
|
