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---
tags:
- braindecode
- eeg
- neuroscience
- brain-computer-interface
- deep-learning
license: unknown
---
# EEG Dataset
This dataset was created using [braindecode](https://braindecode.org), a deep
learning library for EEG/MEG/ECoG signals.
## Dataset Information
| Property | Value |
|----------|------:|
| Recordings | 1 |
| Type | Continuous (Raw) |
| Channels | 26 |
| Sampling frequency | 250 Hz |
| Total duration | 0:06:26 |
| Windows/samples | 96,735 |
| Size | 19.22 MB |
| Format | zarr |
## Quick Start
```python
from braindecode.datasets import BaseConcatDataset
# Load from Hugging Face Hub
dataset = BaseConcatDataset.pull_from_hub("username/dataset-name")
# Access a sample
X, y, metainfo = dataset[0]
# X: EEG data [n_channels, n_times]
# y: target label
# metainfo: window indices
```
## Training with PyTorch
```python
from torch.utils.data import DataLoader
loader = DataLoader(dataset, batch_size=32, shuffle=True, num_workers=4)
for X, y, metainfo in loader:
# X: [batch_size, n_channels, n_times]
# y: [batch_size]
pass # Your training code
```
## BIDS-inspired Structure
This dataset uses a **BIDS-inspired** organization. Metadata files follow BIDS
conventions, while data is stored in Zarr format for efficient deep learning.
**BIDS-style metadata:**
- `dataset_description.json` - Dataset information
- `participants.tsv` - Subject metadata
- `*_events.tsv` - Trial/window events
- `*_channels.tsv` - Channel information
- `*_eeg.json` - Recording parameters
**Data storage:**
- `dataset.zarr/` - Zarr format (optimized for random access)
```
sourcedata/braindecode/
├── dataset_description.json
├── participants.tsv
├── dataset.zarr/
└── sub-<label>/
└── eeg/
├── *_events.tsv
├── *_channels.tsv
└── *_eeg.json
```
### Accessing Metadata
```python
# Participants info
if hasattr(dataset, "participants"):
print(dataset.participants)
# Events for a recording
if hasattr(dataset.datasets[0], "bids_events"):
print(dataset.datasets[0].bids_events)
# Channel info
if hasattr(dataset.datasets[0], "bids_channels"):
print(dataset.datasets[0].bids_channels)
```
---
*Created with [braindecode](https://braindecode.org)*
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