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README.md

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-license: cc-by-4.0
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+---
+license: cc-by-4.0
+---
+
+# BETA: A Benchmark Database Towards BCI Application
+
+## 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  
+- **License:** CC-BY 4.0 (recommended, please confirm before publishing)  
+- **Links:**  
+  - [Figshare Download](https://figshare.com/articles/dataset/The_BETA_database/12264401)  
+  - [Tsinghua BCI Lab](http://bci.med.tsinghua.edu.cn/download.html)  
+
+### 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, 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.  
+---
+ 
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("your-username/beta")
+print(dataset)