Update README.md

README.md

@@ -10,24 +10,29 @@ Tunnels are essential elements of transportation infrastructure, but are increas
 
 ## Dataset Description
 
-The dataset presented in this paper includes 785 images with cracks, 197 images with water and 316 images with leaching.
+Data are collected from three tunnels (Tunnel A, Tunnel B, Tunnel C) using a mobile mapping system equipped with high-resolution cameras. 
+The three tunnels exhibit different surfaces due to the construction methods used, as visible in Figure 1.
 
 <p align="left">
-  <img src="figures/table1.png" width="600"/>
+  <img src="figures/figure1.png" width="600"/>
 </p>
 <p align="left">
-  <em>Figure 1: Description of the complete dataset, divided into three tunnel types and three classes.</em>
+  <em>Figure 1: Example of high-resolution images depicting the surface of the three tunnels.</em>
 </p>
 
-Data are collected from three different tunnels.
+The dataset includes three classes of defects from each tunnel. In total, 785 images with cracks, 197 images with water and 316 images with leaching (Table 1). 
 
 <p align="left">
-  <img src="figures/figure1.png" width="600"/>
+  <img src="figures/table1.png" width="600"/>
 </p>
 <p align="left">
-  <em>Figure 2: Example of high-resolution images depicting the surface of the three tunnels..</em>
+  <em>Table 1: Description of the complete dataset, divided into three tunnel types and three classes.</em>
 </p>
 
+For each image, a segmentation mask is provided. Masks were generated manually using the SuperAnnotate platform.
+
+For any additional detail and technical validation of the dataset, please refer to the preprint https://arxiv.org/abs/2512.14477.
+
 ## Citation
 
 If you use this dataset in your research, please cite: