hitsmy/PRMBench_Preview

🏠 PRM-Eval Homepage | 💻 Code | 📑 Paper | 📚 PRM Eval Documentation Introduction 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.

<iframe src="https://silytics.si/embed/item/588189e8-f401-40ef-be4b-8a06744ec35c" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.