Update README.md

README.md

@@ -53,7 +53,7 @@ We compare AceMath to leading proprietary and open-access math models in above T
 | AceMath-7B-RM (Ours)     | 96.66 | 85.47   | 41.96        | 73.82          | 46.81           | 46.37        | 80.78     | 67.41  |
 | AceMath-72B-RM (Ours)    | 97.23 | 86.72   | 45.06        | 74.69          | 49.23           | 46.79        | 87.01     | 69.53  |
 
-*Reward model evaluation on AceMath-RewardBench. The average results (rm@8) of reward models on math benchmarks, randomly sample 8 responses from 64 candidates with 100 random seeds. Response candidates are generated from a pool of 8 LLMs.
+*Reward model evaluation on [AceMath-RewardBench](https://huggingface.co/datasets/nvidia/AceMath-RewardBench). The average results (rm@8) of reward models on math benchmarks, randomly sample 8 responses from 64 candidates with 100 random seeds. Response candidates are generated from a pool of 8 LLMs.
 
 ## How to use
 ```python