Datasets:

EEGDash
/

ds006253

pretty_name: MetaRDK
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - visual
  - decision-making
  - epilepsy
size_categories:
  - n<1K
task_categories:
  - other

MetaRDK

Dataset ID: ds006253

Goueytes2024

Canonical aliases: MetaRDK

At a glance: IEEG · Visual decision-making · epilepsy · 23 subjects · 201 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="ds006253", 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 MetaRDK
ds = MetaRDK(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/ds006253")

Dataset metadata


Subjects	23
Recordings	201
Tasks (count)	4
Channels	122 (×13), 185 (×2), 120 (×1), 143 (×1), 156 (×1), 186 (×1), 201 (×1), 132 (×1)
Size on disk	656.2 KB
Recording type	IEEG
Experimental modality	Visual
Paradigm type	Decision-making
Population	Epilepsy
Source	openneuro
License	CC0

MetaRDK

Load this dataset

Dataset metadata

Links