Update README.md

add challenges information and fix huggingface link

README.md

@@ -25,6 +25,7 @@ This Readme describes the RipVIS dataset, its contents, structure, known limitat
 1. [Licensing](#licensing)
 1. [Known Limitations](#known-limitations)
 1. [Future Updates](#future-updates)
+1. [Challenges](#challenges)
 1. [Current Version](#current-version)
 
 ## Short description
@@ -41,7 +42,7 @@ The dataset consists of 184 videos, out of which 150 videos contain rip currents
 ## Links of interest
 - Main contact: andrei.dumitriu@uni-wuerzburg.de
 - Website: https://RipVIS.ai
-- HuggingFace Link: https://huggingface.co/irikos/ripvis (soon)
+- HuggingFace Link: https://huggingface.co/datasets/Irikos/RipVIS/
 - Codabench Evaluation server: coming soon, see ripvis website for updates
 
 
@@ -206,10 +207,15 @@ Known videos: RipVIS-
 **[⬆ back to top](#table-of-contents)**
 
 
+## Challenges
+1. We organized the [AIM 2025 Rip Current Segmentation (RipSeg) Challenge](https://www.codabench.org/competitions/9109/) challenge at AIM workshop in conjuction with [ICCV2025](https://iccv.thecvf.com/). See the [AIM 2025 Rip Current Segmentation (RipSeg) Challenge Report](https://arxiv.org/abs/2508.13401) on arXiv, which will be published in the ICCVW2025 Proceedings.
+1. Another challenge comin soon, stay tuned.
+
 ## Future Updates
 1. Codabench website for automatic evaluation on the test split (ETA mid October 2025). 
 1. Fixes for known limitation #2.
 1. Manually re-add the #3 in known limitations.
+1. Organizing a new challenge.
 
 **[⬆ back to top](#table-of-contents)**