| # 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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|
