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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rootscriptsreproduce_tables.py

reproduce_tables.py24 linesDownload Raw Back to scripts

1from __future__ import annotations2 3import argparse4from pathlib import Path5import shutil6 7 8def main() -> None:9    parser = argparse.ArgumentParser()10    parser.add_argument("--results", required=True)11    parser.add_argument("--out", required=True)12    args = parser.parse_args()13    results = Path(args.results)14    out = Path(args.out)15    out.mkdir(parents=True, exist_ok=True)16    for path in sorted(results.glob("*.csv")):17        shutil.copy2(path, out / path.name)18    print(f"Wrote tables to {out}")19 20 21if __name__ == "__main__":22    main()23 24