Update README.md

update benchmark name to ProactiveVideoQA

README.md

@@ -1,21 +1,21 @@
-ProactiveBench: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models
+ProactiveVideoQA: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models
 ---
 
 
 <div align="center">
   <div style="margin: 30px 0">
     <a href="https://arxiv.org/abs/2507.09313" style="margin: 0 10px">📄 arXiv Paper</a> |
-    <a href="https://github.com/yellow-binary-tree/ProactiveBench" style="margin: 0 10px"> 🖥️ Github Code </a> |
-    <a href="https://huggingface.co/datasets/wangyueqian/ProactiveBench" style="margin: 0 10px">📦 Data</a>
+    <a href="https://github.com/yellow-binary-tree/ProactiveVideoQA" style="margin: 0 10px"> 🖥️ Github Code </a> |
+    <a href="https://huggingface.co/datasets/wangyueqian/ProactiveVideoQA" style="margin: 0 10px">📦 Data</a>
   </div>
 </div>
 
 ## Introduction
-ProactiveBench is the first comprehensive benchmark designed to evaluate a system's ability to engage in proactive interaction in multimodal dialogue settings.
+ProactiveVideoQA is the first comprehensive benchmark designed to evaluate a system's ability to engage in proactive interaction in multimodal dialogue settings.
 Unlike traditional turn-by-turn dialogue systems, in proactive intraction model need to determine when to repsond during the playback, so both response timing and response textual content are important points for evaluation.
 
 ## Dataset Statistics
-ProactiveBench contains 4 tasks:
+ProactiveVideoQA contains 4 tasks:
 
 1. **Proactive web-video QA** `[WEB]`: centering on general web-video understanding.
 
@@ -51,8 +51,8 @@ Each test example in `{dataset}/anno.json` has the following format:
 
 ## Citation
 ```bibtex
-@misc{wang2025proactivebenchcomprehensivebenchmarkevaluating,
-      title={ProactiveBench: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models}, 
+@misc{wang2025proactivevideoqacomprehensivebenchmarkevaluating,
+      title={ProactiveVideoQA: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models}, 
       author={Yueqian Wang and Xiaojun Meng and Yifan Wang and Huishuai Zhang and Dongyan Zhao},
       year={2025},
       eprint={2507.09313},