Healthcare Datasets

该数据集用于对大型语言模型生成的因果结构进行基准测试，与传统统计方法在医疗数据集上的应用进行比较。此外，该数据集还用于验证大型语言模型生成的贝叶斯网络与专家提取以及统计生成的网络的一致性。该任务旨在进行概率因果建模。This dataset is used for benchmarking causal structures generated by large language models (LLMs), and for comparing such structures against the results of traditional statistical methods applied on medical datasets. Additionally, this dataset enables validation of the consistency among Bayesian networks generated by LLMs, those manually extracted by domain experts, and those constructed via statistical methods. This task centers on probabilistic causal modeling.