Datasetpublic

SparseWake/sparsewake

SparseWake SparseWake is a synthetic benchmark for sparse temporal hydrodynamic sensing. ICLR 2027 release The expanded release adds controlled multi-source mixtures and common-prior nearest-source tasks, with complete core data banks, reference checkpoints, a small review supplement, and reproduction code with a frozen wake-library input. Download release iclr2027-v1.0rc2 The version page lists the three archives, exact sizes, checksums, extraction instructions… See the full description on the dataset page: https://huggingface.co/datasets/SparseWake/sparsewake.

sourceHugging Facecc-by-4.0updated 14d agoView on Hugging Face

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rootscriptsmake_main_figures.py

make_main_figures.py28 linesDownload Raw Back to scripts

1from __future__ import annotations2 3import argparse4from pathlib import Path5import sys6 7ROOT = Path(__file__).resolve().parents[1]8sys.path.insert(0, str(ROOT / "src"))9 10from sparsewake.plotting import plot_history_sensor_noise, plot_self_signal11 12 13def main() -> None:14    parser = argparse.ArgumentParser()15    parser.add_argument("--results", required=True)16    parser.add_argument("--out", required=True)17    args = parser.parse_args()18    results = Path(args.results)19    out = Path(args.out)20    plot_history_sensor_noise(results, out)21    plot_self_signal(results, out)22    print(f"Wrote main figures to {out}")23 24 25if __name__ == "__main__":26    main()27 28