license: cc-by-nc-sa-4.0
tags:
- sleep
- eeg
- polysomnography
- sleep-spindle
- k-complex
- rem
- sleep-staging
language:
- en
pretty_name: DREAMS Sleep Databases
size_categories:
- n<1K
DREAMS Sleep Databases (Mirror of Zenodo 2650142)
Source: Zenodo · DREAMS Databases License: CC BY-NC-SA 4.0 (academic / non-commercial use) Mirror maintained by:
lemonLHCfor internal sleep-event model training (EEG2LLM project)
This is a private mirror of the original DREAMS databases for convenience of training pipeline access. All credit goes to the original authors at the University of MONS — TCTS Laboratory and Université Libre de Bruxelles — CHU de Charleroi Sleep Laboratory.
Contents (A-strategy: original .rar + docs)
| File | Size | Content after extraction |
|---|---|---|
| DatabaseSpindles.rar | 45 MB | 8 × 30-min excerpts, expert-annotated sleep spindles |
| DatabaseKcomplexes.rar | 44 MB | 10 × 30-min excerpts, K-complex annotations |
| DatabaseREMs.rar | 36 MB | 9 × 30-min excerpts, rapid eye movement annotations |
| DatabaseArtifacts.rar | 49 MB | 20 × 15-min excerpts, multi-class artifact annotations |
| DatabasePLMs.rar | 536 MB | 10 whole-night recordings, periodic limb movement annotations |
| DatabaseApnea.rar | 719 MB | 12 whole-night recordings, hypopnea annotations |
| DatabaseSubjects.rar | 1.0 GB | 20 healthy whole-night recordings (R&K + AASM hypnograms) |
| DatabasePatients.rar | 1.5 GB | 27 patient whole-night recordings (R&K + AASM hypnograms) |
*.m / *.txt / *.docx / *.pdf |
small | Original assessment algorithm + license + documentation |
How to use
# 1. Clone (requires HF SSH key + git-lfs)
GIT_LFS_SKIP_SMUDGE=0 git clone git@hf.co:datasets/lemonLHC/DREAMS
# 2. Extract on macOS
brew install unar
cd DREAMS && for f in *.rar; do unar -f "$f"; done
# 3. Extract on Linux
sudo apt-get install unar # or: bsdtar -xf <file>.rar
cd DREAMS && for f in *.rar; do unar -f "$f"; done
Annotation channels & event types (실측 / measured)
| Sub-database | Channels (typical) | Sampling | Expert events |
|---|---|---|---|
| Spindles | C3-A1 / FP1-A1 / O1-A1 / EOG | 100 / 200 Hz | 355 spindles |
| Kcomplexes | CZ-A1 / FP1-A2 / O1-A2 | 200 Hz | 272 K-complexes |
| REMs | CZ-A1 / EOG1 / EOG2 | 200 Hz | 847 REM eye movements |
| Artifacts | CZ-A1 / EOG / EMG | 50 Hz | 2000 artifact events (10 sub-types) |
| PLMs | CZ-A1 / EMG1-3 | 200 Hz | 4421 PLM events |
| Apnea | CZ-A1 / NAF / VTH / VAB / SAO2 | 200 Hz | 4058 hypopnea events |
| Subjects | CZ-A1 / FP1-A2 / O1-A2 / EOG | 200 Hz | hypnogram only (5 s epoch) |
| Patients | CZ-A1 / FP1-A2 / O1-A2 / EOG | 200 Hz | hypnogram only (5 s epoch) |
Hypnogram conventions
DREAMS uses a 5-second epoch hypnogram (finer than AASM 30-second standard) to align with event-level annotations.
R&K coding:
5 = Wake 4 = REM 3 = N1 2 = N2 1 = N3 0 = N3 (stage 4 merged) -1 = MT/Unscored
Subjects/Patients additionally provide AASM-coded hypnograms in HypnogramAASM_*.txt.
Training plan reference
See sleep_event_training_plan.md for the full 5-class multi-label sleep event classifier training plan combining DREAMS + MASS data.
Citation
If you use this dataset, please cite the original DREAMS publications:
@dataset{devuyst_dreams_2005,
author = {Devuyst, Stephanie},
title = {The DREAMS Databases and Assessment Algorithm},
year = {2005},
publisher = {Zenodo},
doi = {10.5281/zenodo.2650142}
}