BIDS Dataset Example#

In this example, we show how to fetch and prepare a BIDS dataset for usage with Braindecode.

# Authors: Pierre Guetschel <pierre.guetschel@gmail.com>
#
# License: BSD (3-clause)

from pathlib import Path

import openneuro

from braindecode.datasets import BIDSDataset

First, we download a collection of (fake/empty) BIDS datasets.

# import tempfile
# data_dir = tempfile.mkdtemp()
data_dir = Path("~/mne_data/openneuro/").expanduser()
dataset_name = "ds004745"  # 200Mb dataset
dataset_root = data_dir / dataset_name

if not dataset_root.exists():
    openneuro.download(dataset=dataset_name, target_dir=dataset_root)

👋 Hello! This is openneuro-py 2026.3.1. Great to see you! 🤗

   👉 Please report problems 🤯 and bugs 🪲 at
      https://github.com/hoechenberger/openneuro-py/issues

🌍 Preparing to download ds004745 …

📁 Traversing directories for ds004745 : 0 entities [00:00, ? entities/s]
📁 Traversing directories for ds004745 : 7 entities [00:00, 25.72 entities/s]
📁 Traversing directories for ds004745 : 11 entities [00:00, 14.79 entities/s]
📁 Traversing directories for ds004745 : 15 entities [00:00, 14.93 entities/s]
📁 Traversing directories for ds004745 : 19 entities [00:01, 15.17 entities/s]
📁 Traversing directories for ds004745 : 23 entities [00:01, 14.68 entities/s]
📁 Traversing directories for ds004745 : 27 entities [00:01, 11.74 entities/s]
📁 Traversing directories for ds004745 : 30 entities [00:01, 15.19 entities/s]
📥 Retrieving up to 30 files (5 concurrent downloads).

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✅ Finished downloading ds004745.

🧠 Please enjoy your brains.

Now, loading the dataset is simply a one-line command:

bids_ds = BIDSDataset(dataset_root)

And we can see that the events of this dataset are set in the .annotations attribute of the raw data:

print(bids_ds.datasets[0].raw.annotations)

<Annotations | 54 segments: 1 (6), 10 (6), 2 (6), 3 (6), 4 (6), 5 (6), 6 ...>

Total running time of the script: (0 minutes 12.471 seconds)

Estimated memory usage: 857 MB

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