Update README.md

README.md

@@ -9,7 +9,7 @@ size_categories:
 <h1>Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs</h1>
 
 
-<a href='https://next-gpt.github.io/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> 
+<a href='https://danielchyeh.github.io/All-Angles-Bench/'><img src='https://img.shields.io/badge/Project-Page-Green'></a> 
 <a href='https://arxiv.org/pdf/xxxx.10727'><img src='https://img.shields.io/badge/Paper-PDF-orange'></a>
 <a href='https://arxiv.org/pdf/xxxx.10727'><img src='https://img.shields.io/badge/Arxiv-Page-purple'></a>
 <a href="https://github.com/Chenyu-Wang567/All-Angles-Bench/tree/main"><img src='https://img.shields.io/badge/Code-Github-red'></a>
@@ -30,6 +30,8 @@ The dataset presents a comprehensive benchmark consisting of over 2,100 human-an
 - **[EgoHumans](https://github.com/rawalkhirodkar/egohumans)** - Egocentric multi-view human activity understanding dataset
 - **[Ego-Exo4D](https://github.com/facebookresearch/Ego4d)** - Large-scale egocentric and exocentric video dataset for multi-person interaction understanding
 
+Thanks for their wonderful data.
+
 
 ## Usage