Update README.md

README.md

@@ -24,6 +24,7 @@ configs:
 
 <!-- Provide a longer summary of what this dataset is. -->
 We introduce ViewSpatial-Bench, a comprehensive benchmark with over 5,700 question-answer pairs across 1,000+ 3D scenes from ScanNet and MS-COCO validation sets. This benchmark evaluates VLMs' spatial localization capabilities from multiple perspectives, specifically testing both egocentric (camera) and allocentric (human subject) viewpoints across five distinct task types.
+
 ViewSpatial-Bench addresses a critical gap: while VLMs excel at spatial reasoning from their own perspective, they struggle with perspective-taking—adopting another entity's spatial frame of reference—which is essential for embodied interaction and multi-agent collaboration.
 - **Language(s) (NLP):** en
 - **License:** apache-2.0
@@ -78,7 +79,7 @@ We provide benchmark results for various open-source models as well as **GPT-4o*
       <td>34.98</td>
     </tr>
     <tr>
-      <td>Qwen2.5-VL (3B) [Backbone]</td>
+      <td>Qwen2.5-VL (3B)</td>
       <td>43.43</td><td>33.33</td><td>39.80</td>
       <td>39.16</td><td>28.62</td><td>28.51</td><td>32.14</td>
       <td>35.85</td>