MiniF2F
Introduced by Zheng et al. in MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
MiniF2F is a dataset of formal Olympiad-level mathematics problems statements intended to provide a unified cross-system benchmark for neural theorem proving. The miniF2F benchmark currently targets Metamath, Lean, and Isabelle and consists of 488 problem statements drawn from the AIME, AMC, and the International Mathematical Olympiad (IMO), as well as material from high-school and undergraduate mathematics courses.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
miniF2F-test
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Thor + expert iteration on autoformalised theorems
|
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miniF2F-valid
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Lean GPT-f
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Papers
| Paper | Code | Results | Date | Stars |
|---|
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