This is the official dataset for PRMBench. PRMBench is a benchmark dataset for evaluating process-level reward models (PRMs). It consists of 6,216 data instances, each containing a question, a solution process, and a modified process with errors. The dataset is designed to evaluate the ability of PRMs to identify fine-grained error types in the solution process. The dataset is annotated with error… See the full description on the dataset page:
https://huggingface.co/datasets/hitsmy/PRMBench_Preview.
