alpha-proof
10-4-alpha-proof-trajectories
10-4 Alpha-Proof Trajectories
English · Public trajectory dataset from the 10-4-alpha-proof project: kernel-verified Lean 4 tactic
transitions collected by a Python MCTS controller. The first batch (wave_001_fate_m_v001) contains
20 transitions from 20 FATE-M problems, all solved and independently re-verified by the Lean 4 kernel
(strict receipt pass).
中文 · 公开轨迹数据集，来自 10-4-alpha-proof 项目：由 Python MCTS 控制器采集、经 Lean 4 内核
独立复验的战术转移（transition）。首批 wave_001_fate_m_v001 含 20 题 × 20 条… See the full description on the dataset page: https://huggingface.co/datasets/alpha-proof-open-source/10-4-alpha-proof-trajectories.minif2f-satp-alphaproof
minif2f-satp-alphaproof
The canonical 488-base-problem view of the miniF2F benchmark used by
AlphaProof, ported to Lean 4.26.0 and packaged with initial proof
goal_state values generated for SATP v2.
This dataset is intended as the held-out evaluation (test) and
hyperparameter-tuning (validation) benchmark for SATP / sketch-and-prove
pipelines running in the same Lean 4.26 environment.
The source is Google DeepMind
miniF2F@f0a20e1.
Its README identifies this as the benchmark… See the full description on the dataset page: https://huggingface.co/datasets/ChristianZ97/minif2f-satp-alphaproof.proof-bundles