
# SEED Dataset

- We used the default [SEED dataset](https://bcmi.sjtu.edu.cn/home/seed/)
- The acquired data can be used with the [torcheeg library](https://torcheeg.readthedocs.io/en/stable/generated/torcheeg.datasets.SEEDDataset.html)
- This dataset is used for emotion recognition, containing 3 classes: positive, negative and neutral.
- 62 channels sampled at 200 Hz
- Each sample consists of 1 second of EEG recording.
- Our dataset file, `datasets/seed_dataset.py`  uses the `torcheeg.datasets.SEEDDataset` module, and therefore functions as a wrapper in which we apply min-max normalization and label re-scaling to each sample.
- To replicate the dataset we used, simply download the preprocessed SEED dataset from the bcmi link above and use it with our wrapper. 
