datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
test-braindecode-integration
EEG Dataset
This dataset was created using braindecode, a library for deep learning with EEG/MEG/ECoG signals.
Dataset Information
Number of recordings: 1
Number of channels: 26
Sampling frequency: 250.0 Hz
Data type: Windowed (from Epochs object)
Number of windows: 48
Total size: 0.04 MB
Storage format: zarr
Usage
To load this dataset:
from braindecode.datasets import BaseConcatDataset
# Load dataset from Hugging Face Hub
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Kkuntal990/test-braindecode-integration.example_dataset-raw
EEG Dataset
This dataset was created using braindecode, 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
from braindecode.datasets import BaseConcatDataset
# Load from Hugging Face Hub
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/braindecode/example_dataset-raw.