Datasets › GPR-bench

GPR-bench (General‑Purpose Reproducibility Benchmark)

Introduced by Masumi Morishige et al. in Ensuring Reproducibility in Generative AI Systems for General Use Cases: A Framework for Regression Testing and Open Datasets2 May 2025 archive 2025-07-28

GPR‑bench is an open‑source, multilingual benchmark for regression testing and reproducibility tracking in generative‑AI systems. It provides a compact yet diverse suite of prompts and reference outputs that let you verify whether a model (or prompt) change alters output quality in undesirable ways.

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

MIT‑licensed

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • GPR-bench

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections