GAIA evaluates general AI assistants on tasks involving information gathering and tool use. Some tasks include attachments; this catalog provides an introduction in view of access and resharing restrictions.
Humanity's Last Exam evaluates AI knowledge and reasoning across academic disciplines. It includes text and image questions; this catalog provides an introduction and official links in accordance with the publisher's req…
MathVista gathers 6,141 mathematical problems that come with figures, charts or geometric diagrams, of which 1,000 form the public testmini split. It measures whether visual information can be carried into mathematical r…
Metric
accuracy over testmini and the full test set
Size
6,141 problems in the source, 1,000 in testmini; none imported.
License
cc-by-sa-4.0 (declared on the Hugging Face dataset card)
MMMU collects 11,500 college-level questions across six disciplines and thirty subjects, each carrying figures, diagrams or images that have to be read as well as reasoned over. MMMU-Pro is its tightened revision.
Size
11,500 questions in the source; none imported.
License
apache-2.0 (declared on the Hugging Face dataset card)
MMMU-Pro evaluates multimodal understanding across academic disciplines using images and text. The official card lists 1,730 questions per setting, separating four-option and ten-option standard settings from the vision …
Full text200 tasks
Metric
accuracy over multiple-choice questions (dataset card)
Size
1,730 questions per setting described in the catalog introduction; this standard (10 options) / test selection expects 200 task records with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)
OlympiadBench evaluates scientific reasoning on Olympiad-level mathematics and physics problems. Its official description lists 8,476 English and Chinese problems with separate text-only and multimodal settings.
Full text200 tasks
Size
8,476 English and Chinese problems described across settings in the catalog introduction; this OE_TO_maths_en_COMP / train selection expects 200 task records with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)