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---
license: cc-by-4.0
tags:
- BCI
- EEG
- SSVEP
---
# The BETA dataset
## Dataset Description
- **Title:** BETA: A large benchmark database toward SSVEP-BCI application
- **Authors:** Bingchuan Liu, Xiaoshan Huang, Yijun Wang, Xiaogang Chen, Xiaorong Gao
- **Year:** 2020
- **Journal:** Frontiers in Neuroscience
### Paper
- [BETA: A Benchmark Database Towards BCI Application (Full Text)](https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2020.00627/full)
### Summary
The **Brain–Computer Interface (BCI)** provides an alternative means of communication and has sparked growing interest in the past two decades. Specifically, for **Steady-State Visual Evoked Potential (SSVEP)**-based BCI **(SSVEP-BCI)**, significant improvements have been made in frequency recognition methods and data sharing. However, the number of public databases in this field is still limited. To address this gap, we present **BEnchmark database Towards BCI Application (BETA)**. The BETA database is composed of **64-channel Electroencephalogram (EEG)** data from **70 subjects** performing a **40-target cued-spelling task**.
- The design and acquisition of BETA aim to meet the demands of **real-world BCI applications**.
- BETA can be used as a **test-bed** for algorithm development and benchmarking.
---
### Other Download Websites
- [Figshare Download](https://figshare.com/articles/dataset/The_BETA_database/12264401)
- [Tsinghua BCI Lab](http://bci.med.tsinghua.edu.cn/download.html) *(currently under maintenance)*
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("Bingchuan/beta")
print(dataset)
```
---
### Citation
We appreciate it if you cite the following work:
```bibtex
@article{liu2020beta,
title={BETA: A large benchmark database toward SSVEP-BCI application},
author={Liu, Bingchuan and Huang, Xiaoshan and Wang, Yijun and Chen, Xiaogang and Gao, Xiaorong},
journal={Frontiers in neuroscience},
volume={14},
pages={627},
year={2020},
publisher={Frontiers Media SA}
}
```
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