Datasets › PRM800K

PRM800K

Introduced by Hunter Lightman et al. in Let's Verify Step by Step31 May 2023 archive 2025-07-28

PRM800K is a process supervision dataset containing 800,000 step-level correctness labels for model-generated solutions to problems from the MATH dataset.

Source: PRM800K: A Process Supervision Dataset | GitHub Repo

Image Source: PRM800K: A Process Supervision Dataset | GitHub Repo

Homepage JSON

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 53 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Reinforcement Learning (RL)

License archive 2025-07-28

MIT License

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

PRM800K

1 variant name, as the archive lists them.

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