Friends & Smokers Problem

该数据集旨在评估在不确定情况下，aProbLog在概率推理方面的性能，特别是将aProbLog与贝塔分布随机变量相比，与真实概率性能进行对比。此外，该数据集通过重复试验来评估贝塔分布在表达不确定性方面的质量，其中包含了不同数量的随机变量实例化。该任务的目的是在不确定性下的概率推理和推断。

This dataset is designed to evaluate the performance of aProbLog in probabilistic reasoning under uncertainty, specifically by comparing its performance against both beta-distributed random variables and ground-truth probabilistic performance metrics. Furthermore, this dataset assesses the quality of beta distributions in expressing uncertainty via repeated experiments, which includes varying numbers of random variable instantiations. The objective of this task is probabilistic reasoning and inference under uncertainty.