Add metadata and project links

Hi! I'm Niels from the Hugging Face community science team.

I've opened this PR to improve the discoverability and documentation of this model:
- Added `pipeline_tag: robotics` to categorize the model.
- Added `library_name: transformers` as the model architecture is supported by the library.
- Included a link to the official project website.

Please review and merge if this looks good!

README.md

@@ -1,19 +1,20 @@
 ---
-license: cc-by-4.0
+base_model:
+- Qwen/Qwen3-VL-4B-Instruct
 datasets:
 - teetone/RoboReward
 language:
 - en
-base_model:
-- Qwen/Qwen3-VL-4B-Instruct
+license: cc-by-4.0
+library_name: transformers
+pipeline_tag: robotics
 ---
 
 # RoboReward 4B
 
-**Paper:** [https://arxiv.org/abs/2601.00675](https://arxiv.org/abs/2601.00675)
-
-RoboReward provides **general-purpose vision-language reward model for robotics**, trained on the [RoboReward dataset](https://huggingface.co/datasets/teetone/RoboReward) with **Qwen-3 VL** to predict **discrete end-of-episode progress rewards** from real-robot rollout videos.  
+[**Project Website**](https://crfm.stanford.edu/helm/robo-reward-bench) | **Paper:** [https://arxiv.org/abs/2601.00675](https://arxiv.org/abs/2601.00675)
 
+RoboReward provides **general-purpose vision-language reward models for robotics**, trained on the [RoboReward dataset](https://huggingface.co/datasets/teetone/RoboReward) with **Qwen-3 VL** to predict **discrete end-of-episode progress rewards** from real-robot rollout videos.  
 
 ## Usage