Update README.md

README.md

@@ -50,6 +50,18 @@ dataset_info:
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 # LiSu: A Dataset for LiDAR Surface Normal Estimation
 
+<div style="display: flex;">
+  <a href="https://github.com/malicd/LiSu" target="_blank">
+    <img src="https://img.shields.io/badge/GitHub-%23121011.svg?logo=github&logoColor=white" alt="GitHub">
+  </a>
+
+  <img alt="GitHub Repo stars" src="https://img.shields.io/github/stars/malicd/lisu" style="margin-right: 20px;">
+
+  <a href="https://arxiv.org/abs/2503.08601" target="_blank">
+    <img src="https://img.shields.io/badge/Paper-arXiv-red" alt="Paper arXiv">
+  </a>
+</div>
+
 LiSu provides synthetic LiDAR point clouds, each annotated with surface normal vectors.
 This dataset is generated using [CARLA](https://github.com/carla-simulator/carla) simulator, ensuring diverse environmental conditions for robust training and evaluation.
 Below is an example from LiSu, where surface normals are linearly mapped to the RGB color space for intuitive visualization:
@@ -88,19 +100,6 @@ We assign each map to exactly one split, preventing data leakage (i.e. using the
 One map is designated for validation, while the remaining eight maps are divided equally between the training and testing sets.
 This results in 25053 training, 22167 testing, and 2825 validation frames.
 
-### Dataset Sources
-<div style="display: flex;">
-  <a href="https://github.com/malicd/LiSu" target="_blank">
-    <img src="https://img.shields.io/badge/GitHub-%23121011.svg?logo=github&logoColor=white" alt="GitHub">
-  </a>
-
-  <img alt="GitHub Repo stars" src="https://img.shields.io/github/stars/malicd/lisu" style="margin-right: 20px;">
-
-  <a href="https://arxiv.org/abs/2503.08601" target="_blank">
-    <img src="https://img.shields.io/badge/Paper-arXiv-red" alt="Paper arXiv">
-  </a>
-</div>
-
 ### CARLA Pull Request
 <div style="display: flex;">
   <a href="https://github.com/carla-simulator/carla/pull/8773" target="_blank">