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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.

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rootdocsbenchmark_protocol.md

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1# Benchmark Protocol2 31. Load a processed HDF5 dataset.42. Select an input component, such as `X_raw`, `X_wake_raw`, `X_potential_raw`, `X_external_raw`, `X_self_raw`, or `X_total_raw`.53. Construct temporal windows of length `H` using saved wake phases for each pose.64. Split by held-out test pose: all phases of each test pose are withheld. Split the remaining non-test samples into training and validation.75. Standardize inputs using training-set statistics only.86. Train the temporal MLP baseline or another model.97. Report global and close-wake position RMSE; report circular `theta_rel` MAE for full-state runs.10 11The quick training command is for functionality testing only. Manuscript numbers come from stored summaries in `data/results/`.12