Add dataset card with 8 datasets

README.md

@@ -0,0 +1,82 @@
+---
+language: en
+license: apache-2.0
+tags:
+  - sleep-staging
+  - eeg
+  - embeddings
+  - physioex
+  - tsinalis
+pretty_name: Tsinalis-2016 Embeddings
+size_categories:
+  - 1K<n<10K
+---
+
+# Tsinalis-2016 Embeddings
+
+Pre-extracted per-epoch embeddings from **TsinalisCNN** (Tsinalis et al. 2016),
+trained on Sleep-EDF via [PhysioEx](https://github.com/guidogagl/physioex).
+
+Each subject directory contains:
+- `embeddings.npy` — `(n_epochs, 500)` per-epoch embeddings (bfloat16)
+- `labels.npy` — `(n_epochs,)` AASM sleep stage labels
+
+**Note:** Tsinalis concatenates L=5 epochs before convolution. Embeddings are
+extracted using centered windows (each epoch gets the feature vector from the
+window centered on it).
+
+## Usage
+
+```python
+from physioex.models import load_embeddings
+path = load_embeddings("tsinalis-2016", "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 |
+|---|---|---|---|---|---|---|---|---|---|
+| sleepedf | 153 | **0.8297** | **0.7563** | **0.7631** | 0.93 | 0.41 | 0.86 | 0.80 | 0.78 |
+| mass_ss05 | 26 | 0.8157 | 0.7004 | 0.7297 | 0.72 | 0.26 | 0.87 | 0.82 | 0.83 |
+| mass_ss02 | 19 | 0.8062 | 0.6925 | 0.7134 | 0.70 | 0.28 | 0.87 | 0.83 | 0.78 |
+| mass_ss03 | 62 | 0.7950 | 0.7039 | 0.6923 | 0.77 | 0.33 | 0.87 | 0.76 | 0.80 |
+| mass_ss04 | 40 | 0.7842 | 0.6791 | 0.6865 | 0.73 | 0.24 | 0.86 | 0.79 | 0.77 |
+| mass_ss01 | 53 | 0.7473 | 0.6691 | 0.6388 | 0.83 | 0.36 | 0.83 | 0.61 | 0.72 |
+| dcsm | 255 | 0.7329 | 0.5575 | 0.5947 | 0.82 | 0.02 | 0.73 | 0.77 | 0.45 |
+| hmc | 151 | 0.6634 | 0.6088 | 0.5473 | 0.72 | 0.25 | 0.70 | 0.74 | 0.63 |
+
+## Model Details
+
+- **Architecture**: TsinalisCNN (Tsinalis et al. 2016) — 2-layer CNN on concatenated 5-epoch signal
+- **Training data**: Sleep-EDF (153 subjects, single EEG channel)
+- **Pipeline**: `identity` (Sleep-EDF) / `raw` (other datasets, resample to 100 Hz)
+- **Sequence length**: L=5 epochs
+- **Embedding dim**: 500
+
+## 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/ |
+| DCSM | ERDA/KU | https://erda.ku.dk/public/archives/db553715ecbe1f3ac66c1dc569826eef/published-archive.html |
+| 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{tsinalis2016automatic,
+    title={Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks},
+    author={Tsinalis, Orestis and Matthews, Paul M and Guo, Yike and Zafeiriou, Stefanos},
+    journal={arXiv:1610.01683},
+    year={2016},
+}
+```