MPTP2078
收藏arXiv2025-09-30 收录
下载链接:
https://github.com/BartoszPiotrowski/ATPboost/tree/master/experiments
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资源简介:
该数据集包含了一系列大型问题(链式结构),这些问题可以在60秒内通过它们的小型版本(灌木状结构)来证明。此外,该数据集被用于评估不同前提选择算法的性能。数据集的规模为1342个问题,分为1000个训练问题和342个测试问题,任务集中在定理证明中的前提选择。
This dataset includes a set of large-scale problems with chain-like structures, each of which can be formally proven within 60 seconds using their small-scale variants that feature a shrub-like structure. Additionally, this dataset is employed to evaluate the performance of diverse premise selection algorithms. It comprises a total of 1342 problems, divided into 1000 training instances and 342 test instances, with its core task focusing on premise selection in automated theorem proving.



