Update README.md

README.md

@@ -29,12 +29,12 @@ download_size: 900G
 ### Dataset Summary
 
 Our dataset comprises 64 objects, each captured from 70 views, under 13 lighting patterns and 142 One-Light-At-Time (OLAT) illumination, respectively. 
-The 70 views are captured by 48 DSLR cameras and 22 high-speed cameras.
+The 70 views are captured by 48 DSLR cameras and 22 high-speed cameras. The dataset viewer is at the [project page](https://oppo-us-research.github.io/OpenIllumination).
 
 ### Supported Tasks
 
 * Novel view synthesis: The dataset can be used to evaluate NVS methods, such as NeRF, TensoRF, and NeuS.
-* Inverse rendering: The dataset can be used to evaluate inverse rendering algorithms, which is to decompose illumination, object geometry, and object materials.
+* Inverse rendering: The dataset can be used to evaluate inverse rendering algorithms, which are to decompose illumination, object geometry, and object materials.
 
 ### Dataset Download