Datasets › PlatinumBench
PlatinumBench
Platinum Benchmarks are benchmarks that are are carefully curated to minimize label errors and ambiguity, allowing us to measure reliability of models.
This dataset contains fifteen platinum benchmarks created by manually revising questions from existing datasets (see the github repo for details on accessing our revised subset of VQA). To revise each benchmark, we ran a variety of frontier models on individual examples and manually re-annotated any example for which at least one model made an error. See the paper for further details on the revision process.
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
CC-BY-SA-4.0
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- PlatinumBench
1 variant name, as the archive lists them.
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