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We present miniF2F, a dataset of formal Olympiad-level mathematics problemsstatements intended to provide a unified cross-system benchmark for neuraltheorem proving. The miniF2F benchmark currently targets Metamath, Lean,Isabelle (partially) and HOL Light (partially) and consists of 488 problemstatements drawn from the AIME, AMC, and the International MathematicalOlympiad (IMO), as well as material from high-school and undergraduatemathematics courses. We report baseline results using GPT-f, a neural theoremprover based on GPT-3 and provide an analysis of its performance. We intend forminiF2F to be a community-driven effort and hope that our benchmark will helpspur advances in neural theorem proving.

MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics