base_model, datasets, license, library_name, pipeline_tag

base_model	datasets	license	library_name	pipeline_tag
deepseek-ai/DeepSeek-Prover-V1.5-SFT	kfdong/STP_Lean_0320 internlm/Lean-Workbook	mit	transformers	text-generation

This is the final Self-play Theorem Prover model as described in the paper https://arxiv.org/abs/2502.00212. The training and evalution code is avaliable here.

@article{dong2025beyond,
  title={Beyond Limited Data: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving},
  author={Dong, Kefan and Ma, Tengyu},
  journal={arXiv preprint arXiv:2502.00212},
  year={2025}
}

1. Evaluation Results

The table below compares the pass@3200 performance of STP (our model) and DeepSeek-Prover-V1.5 on miniF2F-test and ProofNet-test.

	miniF2F-test	ProofNet-test
DeepSeek-Prover-V1.5-SFT	53.3% ± 0.5%	21.0% ± 0.9%
DeepSeek-Prover-V1.5-RL	54.9% ± 0.7%	22.0% ± 0.5%
STP	65.0% ± 0.5%	23.9% ± 0.6%

2. Dataset

We also release the dataset here, which contains:

• Extracted examples from mathlib4,
• Generated correct proofs of statements in LeanWorkbook,
• Generated correct proofs of conjectures proposed by our model during self-play training.

Our final model is finetuned from DeepSeek-Prover-V1.5-SFT with this dataset for 1 epoch.