Update README.md

README.md

@@ -1,12 +1,49 @@
+---
+language:
+- en
+- zh
+license: mit
+task_categories:
+- image-segmentation
+task_ids:
+- semantic-segmentation
+tags:
+- remote-sensing
+- change-detection
+- satellite-imagery
+- high-resolution
+- multi-temporal
+dataset_info:
+  config_name: jl1-cd
+  features:
+  - name: image_pair
+    sequence:
+    - name: image
+      dtype: image
+      shape: [512, 512, 3]
+  - name: change_label
+    dtype: image
+    shape: [512, 512, 1]
+  splits:
+  - name: train
+    num_bytes: 1024000000
+    num_examples: 4000
+  - name: test
+    num_bytes: 256000000
+    num_examples: 1000
+  download_size: 1280000000
+  dataset_size: 1280000000
+---
+
 # Dataset Card for JL1-CD
 
 ## Dataset Description
 
 ### Overview
 
-**JL1-CD** 是一个用于遥感图像变化检测（Change Detection, CD）的亚米级、全要素开源数据集。该数据集包含 5,000 对 512×512 像素的卫星图像，分辨率为 0.5 至 0.75 米，覆盖了中国多个地区的多种地表变化类型。JL1-CD 不仅包含常见的人为变化（如建筑物、道路），还涵盖了自然变化（如森林、水体、草地等）。该数据集旨在为变化检测算法提供一个全面的基准测试平台。
+**JL1-CD** 是一个用于遥感图像变化检测（Change Detection, CD）的大规模、亚米级、全要素开源数据集。该数据集包含 5,000 对 512×512 像素的卫星图像，分辨率为 0.5 至 0.75 米，覆盖了中国多个地区的多种地表变化类型。JL1-CD 不仅包含常见的人为变化（如建筑物、道路），还涵盖了自然变化（如森林、水体、草地等）。该数据集旨在为变化检测算法提供一个全面的基准测试平台。
 
-**JL1-CD** is a high-resolution, comprehensive open-source dataset for remote sensing image change detection (CD). It contains 5,000 pairs of 512×512 pixel satellite images with a resolution of 0.5 to 0.75 meters, covering various types of surface changes in multiple regions of China. JL1-CD includes not only common human-induced changes (e.g., buildings, roads) but also natural changes (e.g., forests, water bodies, grasslands). The dataset aims to provide a comprehensive benchmark for change detection algorithms.
+**JL1-CD** is a large-scale, sub-meter, all-inclusive open-source dataset for remote sensing image change detection (CD). It contains 5,000 pairs of 512×512 pixel satellite images with a resolution of 0.5 to 0.75 meters, covering various types of surface changes in multiple regions of China. JL1-CD includes not only common human-induced changes (e.g., buildings, roads) but also natural changes (e.g., forests, water bodies, grasslands). The dataset aims to provide a comprehensive benchmark for change detection algorithms.
 
 ### Dataset Structure
 
@@ -57,7 +94,6 @@ If you use the JL1-CD dataset, please cite the following paper:
   journal={arXiv preprint arXiv:2502.13407},
   year={2025}
 }
-```
 
 ### License
 
@@ -71,4 +107,5 @@ The JL1-CD dataset is licensed under the **MIT License**, allowing users to free
 - **Ziyuan Liu**: [email protected]  
 
 For any questions or suggestions, please contact:  
-- **Ziyuan Liu**: [email protected]  
+- **Ziyuan Liu**: [email protected]  
+```