docs/benchmark_protocol.md

Benchmark Protocol

1. Load a processed HDF5 dataset.
2. Select an input component, such as X_raw, X_wake_raw, X_potential_raw, X_external_raw, X_self_raw, or X_total_raw.
3. Construct temporal windows of length H using saved wake phases for each pose.
4. Split by held-out test pose: all phases of each test pose are withheld. Split the remaining non-test samples into training and validation.
5. Standardize inputs using training-set statistics only.
6. Train the temporal MLP baseline or another model.
7. Report global and close-wake position RMSE; report circular theta_rel MAE for full-state runs.

The quick training command is for functionality testing only. Manuscript numbers come from stored summaries in data/results/.