Update README.md

README.md

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-# Dataset for ECCV-AIM Video Saliency Prediction Challenge 2024
+# ECCV-AIM Video Saliency Prediction Challenge 2024
 
 [![Page](https://img.shields.io/badge/Challenge-Page-blue)](https://challenges.videoprocessing.ai/challenges/video-saliency-prediction.html)
 [![Paper](https://img.shields.io/badge/Paper-arXiv-red)](https://arxiv.org/)
-[![Challenges](https://img.shields.io/badge/Challenges-AIM%202024-orange)](https://cvlai.net/aim/2024/)
-[![Benchmarks](https://img.shields.io/badge/Benchmarks-VideoProcessing-purple)](https://videoprocessing.ai/benchmarks/)
+
+<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/623a3b20fa4890c51b04cba7/nmWH-xSewvOvlicuMPejp.mp4"></video>
+
+## Dataset
 
 We provide a novel audio-visual mouse saliency (<em>AViMoS</em>) dataset with the following key-features:
 * Diverse content: movie, sports, live, vertical videos, etc.;
@@ -65,7 +67,6 @@ Usage example:
 5) The result you get will be available following `results.json` path
 
 
-## 
 ## Citation
 
 Please cite the paper if you find challenge materials useful for your research:
@@ -73,3 +74,6 @@ Please cite the paper if you find challenge materials useful for your research:
 `@article{
 }
 `
+
+[![Challenges](https://img.shields.io/badge/Challenges-AIM%202024-orange)](https://cvlai.net/aim/2024/)
+[![Benchmarks](https://img.shields.io/badge/Benchmarks-VideoProcessing-purple)](https://videoprocessing.ai/benchmarks/)