
# Neonate Dataset
- Data acquired from [Zenodo](https://zenodo.org/records/1280684) 
- Dataset used for seizure detection as a binary classification task.
- We use 4-fold cross-validation. For details on the fold creation, see `make_datasets/hdf5_dataset.py`.
- 19 channels sampled at 256Hz.
- Each sample consists of 5 seconds of EEG recording.
- We additionally apply min-max normalization each time a data sample is retrieved.
- The data can be stored in different modalities. We recommend HDF5 format with `datasets/hdf5_dataset.py`. 
- For details on how to create the dataset after downloading it, see `make_datasets/make_neonate.py`
