sleep-edf — public training data
Public-side data for BrainPilotBench task
tasks/sleep-edf.
Held-out subject 16-19 evaluation recordings live in the gated companion
dataset
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.