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acce560 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | # sleep-edf — public training data
Public-side data for BrainPilotBench task
[`tasks/sleep-edf`](https://github.com/NeuroAIHub/BrainPilotBench/tree/main/tasks/sleep-edf).
Held-out subject 16-19 evaluation recordings live in the gated companion
dataset
[`BrainPilot-Bench/Tasks-Data-Private`](https://huggingface.co/datasets/BrainPilot-Bench/Tasks-Data-Private)
and never appear as "test" here.
## Files
| File | Contents | Size |
|---|---|---|
| `public-main.tar.zst` | `sleep-cassette/SC4[0-1][0-5][12]E[0-9]-PSG.edf` + `-Hypnogram.edf` (subjects **0–15**, 32 files), `manifests/{subjects.json,default_split.json,loso_folds.json}`, `get_fold_data.py`, `label_mapping.json`, `README.md` | ~ 934 MB |
| `loso-supplement.tar.zst` | Additional PSG+Hypnogram for subjects **16-19** (16 files) — **only** for agents that want to run the 20-fold LOSO protocol over all 20 subjects. Do NOT use as test data under the default split. | ~ 235 MB |
`public-main.tar.zst` is the default fetch and pinned in the task's
`data.lock`. `loso-supplement.tar.zst` is optional and only needed for LOSO
runs; the task's data.lock exposes it as an opt-in dataset (`bp-bench fetch
sleep-edf --extra loso`).
## Task summary
Sleep-EDF Expanded — Sleep Cassette. 5-class sleep stage classification
(Wake / N1 / N2 / N3 / REM) on 30-second Fpz-Cz EEG epochs. 20 subjects
split by subject boundary: train subjects 0-13, validation 14-15, test
16-19 (private). The agent submits a PyTorch `SleepAgentModel` module; the
benchmark scorer trains one model on subjects 0-13, uses 14-15 for early
stopping, and blind-tests on 16-19.
See the task README in the main repo for the full contract.
## Provenance & license
Sleep-EDF Database Expanded v1.0.0 — <https://physionet.org/content/sleep-edfx/1.0.0/>.
Files are re-hosted under the same open license as PhysioNet.
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