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Omni-MATH

Mathematics

Omni-MATH evaluates mathematical reasoning on Olympiad-level problems. Its official dataset contains 4,428 problems accompanied by domain and difficulty information.

omni-math

Full text4,406 tasks

Official source

Full text: eligible public problems include text, images and discussion.

History

The Omni-MATH project introduced its Olympiad-level mathematics benchmark in 2024, with this catalogue recording a September Hugging Face publication under KbsdJames. It targeted mathematical reasoning on difficult competition problems. Domain and difficulty annotations support analysis beyond a single aggregate accuracy figure.

How it was built

The official dataset contains 4,428 Olympiad-level mathematical problems accompanied by domain and difficulty information. The distribution supplies answers, and the authors also publish an evaluator called Omni-Judge. The catalogue uses a capped selection of 200 task records rather than the entire collection.

At a glance

What a problem looks like

Olympiad-level mathematical problem statements; the generic import accepts the scalar problem field.

Read an actual problem

How it is scored

The source ships an answer with every problem; this catalogue keeps it in restricted storage and never renders it. The authors publish Omni-Judge, an open evaluator for this dataset, at https://huggingface.co/KbsdJames/Omni-Judge.

Why it is hard

Requires mathematical reasoning on Olympiad-level problems.

Limitations and criticism

Olympiad-level mathematics is a specialised domain and does not directly measure mathematical modelling, empirical work or formal proof verification. A correct final answer alone is not evidence that every step of a solution is valid. Reports need to identify the evaluator and any tool or sampling budget, since those choices affect what a success rate represents.

Cite

@misc{gao2024omnimathuniversalolympiadlevel,
      title={Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models}, 
      author={Bofei Gao and Feifan Song and Zhe Yang and Zefan Cai and Yibo Miao and Qingxiu Dong and Lei Li and Chenghao Ma and Liang Chen and Runxin Xu and Zhengyang Tang and Benyou Wang and Daoguang Zan and Shanghaoran Quan and Ge Zhang and Lei Sha and Yichang Zhang and Xuancheng Ren and Tianyu Liu and Baobao Chang},
      year={2024},
      eprint={2410.07985},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2410.07985}, 
}

Discussion

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Contribute

Share a reproduction, report an evaluation issue, or suggest a correction to this benchmark overview.

Tasks

Whole public benchmark.

Public problems
4,406
Formats
math (4,206) · text (200)
Problems with images
0
Answer availability
Answer published by the source (4,406)
Configs
Default (4,406)
Splits
test (4,406)
Awaiting a first discussion
4,406
Problems with a discussion
0
Public contributions
0

Provenance and terms

Pinned source revisions, newest first:

  • 40ba231d8f16e29ecd40e6407e2c8640145a8f62 · acquired 2026-09-09 · release 2ee237636774
  • 40ba231d8f16e29ecd40e6407e2c8640145a8f62 · acquired 2026-09-09 · release 27a71f2fd34a
  • 40ba231d8f16e29ecd40e6407e2c8640145a8f62 · acquired 2026-09-09 · release 9933a682d064
  • 40ba231d8f16e29ecd40e6407e2c8640145a8f62 · acquired 2026-09-09 · release e02b298818a8
  • 40ba231d8f16e29ecd40e6407e2c8640145a8f62 · acquired 2026-09-08 · release d2fdbb3503e8