Datasets › PRMBench_Preview
PRMBench_Preview
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 types and reasons for the errors, providing a comprehensive evaluation of PRMs.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
Apache 2.0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- PRMBench_Preview
1 variant name, as the archive lists them.
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