Before revision: Mathematical proofs can be mechanised using proof assistants to eliminate gaps and errors. However, mechanisation still requires intensive labour. To promote automation, it is essential to capture high-level human mathematical reasoning , which we address as the problem of generating suitable propositions .
After revision: A well-defined benchmark is essential for measuring and accelerating research progress of machine learning models. In this paper, we present a benchmark for high-level human mathematical reasoning , which we address as the problem of generating suitable propositions .