NYCSchools

该数据集是基于纽约市公立学校区域构建的，其中包含了敏感属性和协变量，并通过生成的行为和结果进行了增强。此外，该数据集还特别增加了与资金水平决策相对应的行为数据。任务要求在进行政策优化时，需考虑公平性约束。This dataset is constructed based on the public school districts in New York City. It contains sensitive attributes and covariates, and is augmented with generated behavioral and outcome data. Additionally, this dataset specifically includes behavioral data corresponding to funding level decisions. The task mandates that fairness constraints be taken into account during policy optimization.