FICO Score Dataset

该数据集包含了非西班牙裔白人和黑人队列的信用评分数据，为不同敏感群体的信用分数提供了实证分布。该数据集用于模拟根据实证分布生成数据的过程，并涉及两个敏感群体。其规模包括多期数据（评估时为8000期），任务是在强化学习中加入公平性约束。

This dataset contains credit score data for non-Hispanic White and Black cohorts, offering empirical distributions of credit scores across different sensitive groups. It is utilized to simulate the process of generating data based on these empirical distributions, and involves two such sensitive groups. The dataset includes multi-period data, with 8000 periods available during evaluation. The core task associated with this dataset is to incorporate fairness constraints into reinforcement learning frameworks.