ARC-Challenge is the subset of grade-school science questions that both a retrieval baseline and a word co-occurrence baseline answered incorrectly. It tests reasoning with knowledge rather than recall alone.
Full text1,172 tasks
Size
1,172 problems imported from the ARC-Challenge / test selection (the full test split).
License
cc-by-sa-4.0 (declared on the Hugging Face dataset card)
ARC-Easy is the subset of grade-school science questions that a retrieval baseline or a word co-occurrence baseline answered correctly. It is the easier counterpart of ARC-Challenge and serves as the baseline measure of …
Full text2,376 tasks
Size
2,376 problems imported from the ARC-Easy / test selection (the full test split).
License
cc-by-sa-4.0 (declared on the Hugging Face dataset card)
CritPt evaluates scientific understanding and multi-step reasoning and computation on research-level physics problems. Its public dataset contains 70 challenges with problem descriptions and code templates.
Full text70 tasks
Metric
accuracy (README: average accuracy over 5 runs × 70 challenges)
Size
70 public challenges; catalog selection expects 70 task records from train, with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)
DS-1000 builds 1,000 data-science problems from real StackOverflow questions across seven libraries including NumPy, Pandas and Matplotlib. The problems are perturbed so that recalling the original answer does not solve …
Full text1,000 tasks
Metric
accuracy (the source paper reports the best public system at 43.3%)
Size
1,000 problems imported from the default / test selection (the full split).
License
cc-by-sa-4.0 (declared on the Hugging Face dataset card)
FrontierScience evaluates the ability to solve expert-level scientific tasks. Its public data separates olympiad and research problems so that competition and research tasks can be examined independently.
GPQA is a set of graduate-level questions in biology, physics and chemistry written so that non-experts with web access still fail them. The Diamond subset is the most-used slice.
Size
Not imported here; see the official distribution for the current size.
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)