README.md

metadata

title: EEGDash Dataset Catalog
emoji: 🧠
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.9.1
python_version: '3.11'
app_file: app.py
pinned: true
license: bsd-3-clause
short_description: Search 700+ EEG/MEG datasets and load them with one line.
tags:
  - eeg
  - meg
  - neuroscience
  - brain-computer-interface
  - braindecode
  - pytorch
  - datasets
hf_oauth: false

EEGDash — Dataset Catalog

Search, filter, and load 200+ publicly shared EEG/MEG datasets. Mirrors the catalog at eegdash.org and generates one-liner load snippets for EEGDash and braindecode.

How it works

• The left panel filters the catalog by modality, subject type, source, license, subject count, and sampling rate.
• Selecting a row shows the dataset card + copy-paste load snippets.
• Rows tagged on 🤗 have a mirrored HF dataset repo at EEGDash/<slug> and can be fetched with BaseConcatDataset.pull_from_hub(...).

Loading a dataset

# Native EEGDash (streams from S3/NEMAR)
from eegdash import EEGDashDataset
ds = EEGDashDataset(dataset="ds002718", cache_dir="./cache")

# From HF Hub (braindecode's pull_from_hub, BIDS-inspired Zarr)
from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds002718")

Deploying / updating the Space

See DEPLOY.md for the one-time org setup and per-push workflow.

License

BSD-3-Clause. The hosted datasets retain their upstream licenses — consult each dataset card before redistribution.