Update README.md

README.md

@@ -1,3 +1,47 @@
 ---
 license: mit
+task_categories:
+- image-compression
+- image-reconstruction
+tags:
+- hyperspectral-imaging
+- hsi-compression
+- deep-learning
+- wireless-communications
+pretty_name: BTC-Net V2 Dataset
+size_categories:
+- 1K<n<10K
 ---
+
+# BTC-Net V2: Spatial-Priority Hierarchical Reconstruction for Hyperspectral Image Compression
+
+This repository contains the officially released dataset for **BTC-Net V2**. 
+
+For the complete implementation, network architectures, and pre-trained models, please visit our official GitHub repository:
+👉 **[GitHub: MWan-deeplearner/BTC-Net-V2](https://github.com/MWan-deeplearner/BTC-Net-V2)**
+
+---
+
+## 📌 Dataset Overview
+
+This dataset consists of processed Hyperspectral Image (HSI) data (specifically from the AVIRIS sensor), structured and chunked to facilitate deep learning-based image compression and hierarchical wireless transmission research.
+
+* **Data Format:** MATLAB `.mat` files packed into sequential `.zip` chunks.
+* **Total Samples:** 1,195 processed HSI patches/sub-volumes.
+* **Core Application:** Spatial-priority hierarchical reconstruction, joint source-channel coding (JSCC), and generative HSI compression.
+
+---
+
+## 📂 Repository Structure & Naming Convention
+
+To prevent download interruptions caused by network fluctuations, the 1,195 `.mat` files are distributed evenly into **12 independent zip archives** (approx. 100 files per chunk).
+
+The repository is structured as follows:
+
+```text
+.
+├── README.md                           # This Dataset Card
+└── aviris_mat_chunk_01.zip            # Sub-dataset chunk 01 (Contains files 1-100)
+    ├── aviris_mat_chunk_02.zip            # Sub-dataset chunk 02 (Contains files 101-200)
+    ...
+    └── aviris_mat_chunk_12.zip            # Sub-dataset chunk 12 (Contains remaining files)