Datasets:

EEGDash
/

ds005873

pretty_name: SeizeIT2
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - other
  - clinical-intervention
  - epilepsy
size_categories:
  - 1K<n<10K
task_categories:
  - other

SeizeIT2

Dataset ID: ds005873

Bhagubai2025

Canonical aliases: SeizeIT2

At a glance: EEG, EMG · Other clinical/intervention · epilepsy · 125 subjects · 5654 recordings · CC0

Load this dataset

This repo is a pointer. The raw EEG data lives at its canonical source (OpenNeuro / NEMAR); EEGDash streams it on demand and returns a PyTorch / braindecode dataset.

# pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds005873", cache_dir="./cache")
print(len(ds), "recordings")

You can also load it by canonical alias — these are registered classes in eegdash.dataset:

from eegdash.dataset import SeizeIT2
ds = SeizeIT2(cache_dir="./cache")

If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, you can also pull it directly:

from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005873")

Dataset metadata


Subjects	125
Recordings	5654
Tasks (count)	1
Channels	2 (×2850), 1 (×2804)
Sampling rate (Hz)	256 (×5654)
Total duration (h)	22,897.2
Size on disk	44.4 GB
Recording type	EEG, EMG
Experimental modality	Other
Paradigm type	Clinical/Intervention
Population	Epilepsy
Source	openneuro
License	CC0

SeizeIT2

Load this dataset

Dataset metadata

Links