IndiMathBench is a benchmark for evaluating automated theorem provers on 312 competition-level mathematics Olympiad problems formalized in Lean 4. All problems are produced through a structured Human–AI collaborative pipeline and are fully human-verified. The dataset is sourced from the Indian National Mathematics Olympiad (INMO) and the Regional Mathematics Olympiad (RMO), two long-running annual competitions in India.
The benchmark contributes 98 new Geometry problems and 45 new Combinatorics problems, two domains that are underrepresented in existing formal-reasoning benchmarks. A public leaderboard for evaluation results will be released soon!
For submissions or questions, please contact parambiyani8@gmail.com.
Feedback is welcome; please open an issue if you find errors or would like to suggest improvements.
| Category | Count |
|---|---|
| Geometry | 98 |
| Algebra | 92 |
| Set Theory & Combinatorics | 45 |
| Number Theory | 77 |
| Model | Scaffold | Resolution |
|---|---|---|
| Claude Sonnet 4 | ReAct 10 turns | 4/312 |
| Gemini 2.5 Pro | ReAct 10 turns | 12/312 |
| GPT-5 | ReAct 10 turns | 36/312 |
| DeepSeekProver V2 7B | ReAct 10 turns | 24/312 |
| GodelProver V2 8B | ReAct 10 turns | 36/312 |
Detailed description of the 10 turn ReAct scaffold in out paper!
The associated paper for IndiMathBench is available here. Please consider citing if you find IndiMathBench useful:
@misc{biyani2025indimathbenchautoformalizingmathematicalreasoning,
title={IndiMathBench: Autoformalizing Mathematical Reasoning Problems with a Human Touch},
author={Param Biyani and Shashank Kirtania and Yasharth Bajpai and Sumit Gulwani and Ashish Tiwari},
year={2025},
eprint={2512.00997},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2512.00997},
}