Update README.md

README.md

@@ -13,6 +13,8 @@ The SHREC 2021 Track on Quantifying Shape Complexity aimed to provide a benchmar
 - In the first collection, we consider synthetically acquired noisy cubes and spheres.
 - The second collection consists of abstract shapes and is made up of two subcollections each composed of 25 shapes.
 - The third part consists of the categorized shapes of the Princeton Segmentation Benchmark (Chen et al., "A Benchmark for 3D Mesh Segmentation", TOG, 28.3, 2009).
+  Collection 3 can be accessed at [here](https://segeval.cs.princeton.edu")
+
 
 Each of these collections can be considered as seeking a different aspect of shape complexity.
 
@@ -31,8 +33,6 @@ The data in collections 1 and 2 was created by the organizers of the SHREC 2021
 - Paul L. Rosin - Cardiff University, School of Computer Science &amp; Informatics<br>
 - Sibel Tari - Middle East Technical University, Department of Computer Engineering
 
-Collection 3 can be accessed at [here](https://segeval.cs.princeton.edu")
-
 ## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->