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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.

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

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rootdataprocessedREADME.md

README.md12 linesDownload Raw Back to processed

1# Processed Datasets2 3This directory contains processed HDF5 benchmark datasets when they are included in the archive.4 5Expected full datasets:6 7- `abm_sensing_dataset_v04_close_orient30_potential_160k.h5`: main component-separated benchmark with wake-only, potential-only, wake-plus-potential input arrays and full-state labels.8- `abm_sensing_dataset_v05_self_external_paired_160k_compressed.h5`: aligned self-signal paired dataset used for aligned external/self controls.9- `abm_sensing_dataset_v05_self_external_orient30_160k.h5`: randomized-orientation self-signal dataset used for full-state self-signal controls.10 11The `download_manifest.json` file lists file sizes, checksums, and relative paths for the full processed HDF5 files.12