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README.md
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license: cc-by-4.0
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---
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license: cc-by-4.0
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pretty_name: SparseWake
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tags:
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- benchmark
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- synthetic-data
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- hydrodynamics
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- time-series
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- regression
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- physical-sensing
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---
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# Dataset Name
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SparseWake
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## Dataset summary
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SparseWake evaluates whether sparse body-fixed temporal flow measurements can recover the relative state of a neighboring wake-producing fish in a controlled single-leader setting. The benchmark contains processed synthetic data generated from a DNS-parameterized fish-schooling agent-based model.
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The released data support the evaluation protocol described in the anonymous submission: held-out follower poses, temporal-history sweeps, sensor-count ablations, component-separated flow inputs, common raw-noise stress tests, and self-signal controls.
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## What is included
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- Processed HDF5 benchmark files.
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- Dataset metadata and sensor coordinates.
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- Held-out-pose split protocol.
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- Summary CSV files for reported tables and figures.
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- Lightweight loading and verification scripts.
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- Checksums and file manifest.
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## What is not included
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The upstream fish-schooling ABM source code and the underlying high-fidelity CFD solver are not redistributed. The release is intended to reproduce benchmark evaluations from the processed HDF5 files, not to regenerate the DNS-parameterized wake library from first principles.
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## Intended use
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This dataset is intended for evaluating sparse temporal physical sensing, hydrodynamic neighbor-state estimation, and reproducibility of the reported benchmark protocol.
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## Not Intended Use
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SparseWake is not a full biological lateral-line pressure model, a multi-neighbor schooling model, or a replacement for direct CFD solvers.
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## Data Source
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The processed data were generated from WakeSchool, an external fish-schooling simulator with DNS-parameterized wake and body-flow components. The artifact starts from processed HDF5 benchmark datasets and does not redistribute simulator source code.
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## Released Fields
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- `X_raw`: wake-plus-potential induced velocity features, sample shape `[N, 6, 3]` after loading.
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- `X_wake_raw`: wake-only induced velocity features where available.
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- `X_potential_raw`: potential-only induced velocity features where available.
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- `X_external_raw`, `X_self_raw`, `X_total_raw`: self-signal controls where available.
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- `y`: labels with columns `delta_x`, `delta_y`, `theta_rel`, `sin_phi`, `cos_phi`, `phi`.
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- `groups`: wake phase index.
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- `pose_id`: pose index for pose-holdout splitting in the sample dataset; full datasets can derive it from phase blocks.
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- `region_id`: region code for close wake, near side, and mid wake.
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- `sensor_world_positions`: sensor coordinates for each sample.
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## Units and Conventions
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Lengths are nondimensionalized by fish body length. Angles are stored in radians. Reported orientation metrics use degrees. The fish body is represented with semi-axes `a = 0.5 L` and `b = 0.075 L`.
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## Sensor Layout
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Six body-fixed sensors are arranged as anterior, midbody, and posterior left/right pairs. Sensor names are stored in documentation and sample HDF5 attributes.
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## Ethical Considerations
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The dataset is synthetic fluid-dynamics data. It contains no human subjects, no animal measurements, and no personal data.
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