Update README.md

README.md

@@ -10,11 +10,9 @@ pretty_name: SHREC 2021 Track Database for Quantifying Shape Complexity
 
 The SHREC 2021 Track on Quantifying Shape Complexity aimed to provide a benchmark for the quantification of 3D shape complexity.  Shape complexity is an ill-defined concept. Hence, the concept is explored complexity multiple tasks and data collections. Due to the relative nature of complexity, a linear order may not make sense. There may be multiple aspects of complexity that can be measured.
 
-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).
+- 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).
 
 Each of these collections can be considered as seeking a different aspect of shape complexity.