Add dataset card with 7 datasets + MASS SS01-SS05

README.md

@@ -0,0 +1,82 @@
+---
+language: en
+license: apache-2.0
+tags:
+  - sleep-staging
+  - eeg
+  - embeddings
+  - physioex
+  - chambon2018
+pretty_name: Chambon2018 Embeddings
+size_categories:
+  - 1K<n<10K
+---
+
+# Chambon2018 Embeddings
+
+Pre-extracted per-epoch embeddings from **Chambon2018** (Chambon et al. 2018),
+trained on MASS SS3 via [PhysioEx](https://github.com/guidogagl/physioex).
+
+Each subject directory contains:
+- `embeddings.npy` — `(n_epochs, 120)` per-epoch embeddings (bfloat16)
+- `labels.npy` — `(n_epochs,)` AASM sleep stage labels (W=0, N1=1, N2=2, N3=3, REM=4, unscored=-1)
+
+**Note:** Chambon2018 is a per-epoch CNN encoder (no inter-epoch context).
+Embeddings are extracted directly without sliding-window voting.
+
+## Usage
+
+```python
+from physioex.models import load_embeddings
+
+path = load_embeddings("chambon2018", "hmc", verbose=True)
+```
+
+## Linear Probe Results (5-fold subject-wise CV)
+
+| Dataset | Subjects | ACC | MF1 | κ | F1-W | F1-N1 | F1-N2 | F1-N3 | F1-REM |
+|---|---|---|---|---|---|---|---|---|---|
+| mass_ss05 | 26 | **0.8146** | 0.6653 | **0.7284** | 0.74 | 0.08 | 0.88 | 0.83 | 0.80 |
+| mass_ss02 | 19 | 0.7902 | 0.6397 | 0.6919 | 0.74 | 0.05 | 0.86 | 0.79 | 0.75 |
+| mass_ss03 | 62 | 0.7869 | **0.6638** | 0.6806 | 0.79 | 0.15 | 0.87 | 0.75 | 0.76 |
+| mass_ss04 | 40 | 0.7777 | 0.6353 | 0.6785 | 0.73 | 0.06 | 0.87 | 0.78 | 0.75 |
+| mass_ss01 | 53 | 0.7134 | 0.5899 | 0.5882 | 0.81 | 0.23 | 0.82 | 0.48 | 0.61 |
+| sleepedf | 153 | 0.6001 | 0.4502 | 0.4198 | 0.65 | 0.00 | 0.72 | 0.52 | 0.36 |
+| hmc | 151 | 0.5980 | 0.5099 | 0.4581 | 0.66 | 0.03 | 0.65 | 0.67 | 0.54 |
+
+*SHHS, MESA, HPAP, STAGES results pending (extraction running on Sofia HPC).*
+
+## Model Details
+
+- **Architecture**: Chambon2018 (Chambon et al. 2018) — braindecode SleepStagerChambon2018 per-epoch CNN
+- **Training data**: MASS SS3 (62 subjects, single EEG channel at 128 Hz)
+- **Pipeline**: `raw` (bandpass 0.3-40 Hz, resample 128 Hz)
+- **Sequence length**: L=3 (central epoch classification)
+- **Embedding dim**: 120
+
+## Datasets
+
+| Dataset | Source | URL |
+|---|---|---|
+| Sleep-EDF | PhysioNet | https://physionet.org/content/sleep-edfx/1.0.0/ |
+| HMC | PhysioNet | https://physionet.org/content/hmc-sleep-staging/1.1/ |
+| MASS | CEAMS | http://ceams-carsm.ca/mass/ |
+
+## Citations
+
+```bibtex
+@article{gagliardi2025physioex,
+    author={Gagliardi, Guido and Alfeo, Luca and Cimino, Mario G C A and Valenza, Gaetano and De Vos, Maarten},
+    title={PhysioEx, a new Python library for explainable sleep staging through deep learning},
+    journal={Physiological Measurement},
+    url={http://iopscience.iop.org/article/10.1088/1361-6579/adaf73},
+    year={2025},
+}
+
+@article{chambon2018deep,
+    title={A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series},
+    author={Chambon, Stanislas and Galtier, Mathieu and Arnal, Pierrick and Wainrib, Gilles and Gramfort, Alexandre},
+    journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
+    year={2018},
+}
+```