Update README.md

README.md

@@ -18,7 +18,7 @@ gemma-2-9b-it finetuned by hybrid WPO, utilizing two types of data:
 
 In comparison to the preference data construction method in our paper, we switch to RLHFlow/ArmoRM-Llama3-8B-v0.1 to score the outputs, and choose the outputs with maximum/minimum scores to form a preference pair.
 
-We provide our training data at [wzhouad/gemma-2-ultrafeedback-hybrid](https://huggingface.co/datasets/wzhouad/gemma-2-ultrafeedback-hybrid)
+We provide our training data at [wzhouad/gemma-2-ultrafeedback-hybrid](https://huggingface.co/datasets/wzhouad/gemma-2-ultrafeedback-hybrid).
 
 ### [AlpacaEval Eval Results](https://tatsu-lab.github.io/alpaca_eval/)
 |                Model                           | LC | WR | Avg. Length |