README.md

---
license: mit
---

# VeriSoftBench

**VeriSoftBench** is a benchmark for evaluating neural theorem provers on software verification tasks in Lean 4.

The dataset contains 500 theorem-proving tasks drawn from 23 real-world Lean 4 repositories spanning compiler verification, type system formalization, applied verification (zero-knowledge proofs, smart contracts), semantic frameworks, and more.


📄 **Paper (arXiv):** https://arxiv.org/html/2602.18307v1  
💻 **Full benchmark + pipeline + setup:** https://github.com/utopia-group/VeriSoftBench  

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## Dataset Contents

This Hugging Face release contains the dataset of the benchmark tasks only. For the full end-to-end evaluation pipeline, please refer to the Github repository:

👉 https://github.com/utopia-group/VeriSoftBench

Each task in `verisoftbench.jsonl` contains:

- Theorem name, statement, and source location
- Filtered dependencies (library defs, repo defs, local context, lemmas)
- Ground truth proof
- Metadata (category, difficulty metrics, Aristotle subset membership)
 
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## Citation


```bibtex
@misc{xin2026verisoftbenchrepositoryscaleformalverification,
      title={VeriSoftBench: Repository-Scale Formal Verification Benchmarks for Lean}, 
      author={Yutong Xin and Qiaochu Chen and Greg Durrett and Işil Dillig},
      year={2026},
      eprint={2602.18307},
      archivePrefix={arXiv},
      primaryClass={cs.SE},
      url={https://arxiv.org/abs/2602.18307}, 
}
```