The RewardBench evaluation dataset evaluates capabilities of reward models over the following categories:
Chat: Includes the easy chat subsets (alpacaeval-easy, alpacaeval-length, alpacaeval-hard, mt-bench-easy, mt-bench-medium)
Chat Hard: Includes the hard chat subsets (mt-bench-hard, llmbar-natural, llmbar-adver-neighbor, llmbar-adver-GPTInst, llmbar-adver-GPTOut… See the full description on the dataset page:
https://huggingface.co/datasets/allenai/reward-bench.