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This is a dataset for EEG signal denoising.
This dataset contains three different sub-datasets are EEGdenoiseNet EMG, EEGdenoiseNet EOG, and semi- simulated EOG dataset 2016. The files are structured as follows
eeg_denoise_dataset/
├── README.md
├── EEGDenoiseNet_EMG.tar.gz
├── SS2016_EOG.tar.gz
├── eeg_denoise_dataset.py
└── EEGDenoiseNet_EOG.tar.gz
The *.tar.gz holds different types of training data and test data
*.tar.gz/
├── trian
└── test
The file format in the zip file is as follows.
Usage.
- Method 1
Download the repository files to your local your_path directory, and use the load_dataset method to retrieve the corresponding training or testing dataset.
x from datasets import load_dataset
my_dataset_trian = load_dataset("{your_path}/eeg_denoise_dataset", "EEGDenoiseNet_EOG", split="train")
my_dataset_test = load_dataset("{your_path}/eeg_denoise_dataset", "EEGDenoiseNet_EOG", split="test")
- Method 2
If you just want to download one of the datasets and load it. You can download the compressed dataset you want to load into your local your_path and decompress it.
Once unzipped, you can load the dataset from that path. An example of loading the EEGDenoiseNet_EMG dataset is shown below.
from datasets import Dataset
my_dataset_trian = Dataset.load_from_disk("{your_path}/EEGDenoiseNet_EMG/train")
my_dataset_test = Dataset.load_from_disk("{your_path}/EEGDenoiseNet_EMG/test")
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