Update README.md

README.md

@@ -11,7 +11,7 @@ This is a model released for our paper: [REBEL: Reinforcement Learning via Regre
 # REBEL-Llama-3-Armo-iter_2
 
 This model is developed with REBEL based on [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) with [ArmoRM-Llama3-8B-v0.1](https://huggingface.co/RLHFlow/ArmoRM-Llama3-8B-v0.1) as the reward model and [UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedback) dataset.
-The training code is available at https://github.com/ZhaolinGao/REBEL. We collect offline generations of the entire dataset with best-of-5 as the chosen response and worst-of-5 as the rejected response.
+The training code is available at https://github.com/ZhaolinGao/REBEL. We collect offline generations of the entire dataset with best-of-5 as the chosen response and worst-of-5 as the rejected response ([Ultrafeedback-Llama-3-Armo-iter_2](https://huggingface.co/datasets/Cornell-AGI/Ultrafeedback-Llama-3-Armo-iter_2))..
 
 ### Links to Other Model