scripts/make_salience_tables.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
from benchpress_eval.salience import compute_noedit_salience


def main() -> None:
    parser = argparse.ArgumentParser(
        description="Compute no-edit AUROC stratified by ground-truth edit parameters."
    )
    parser.add_argument("--dataset-root", required=True)
    parser.add_argument("--predictions", required=True)
    parser.add_argument("--out-dir", required=True)
    parser.add_argument("--score-col", default=None)
    parser.add_argument("--bins", type=int, default=5)
    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)
    by_bin, summary = compute_noedit_salience(dataset, aligned, n_bins=args.bins)

    write_csv(by_bin, out_dir / "salience_by_parameter_bin.csv")
    write_csv(summary, out_dir / "salience_summary.csv")


if __name__ == "__main__":
    main()