ROSSI dataset

The ROSSI dataset pertains to persons convicted then released from Maryland state prisons, who were followed up for one year after release. Among the total of 432 released convicts engaging in an experimental treatment, half of them were given financial aid and the rest of them did not receive aid. The task is then to predict the reoffending risk score of convicted criminals as described by 9 features, including the sensitive attribute race with black being the deprived group and other being the favored group.

罗西（ROSSI）数据集聚焦于从马里兰州立监狱定罪释放后，于释放后一年内接受追踪随访的服刑人员。在总计432名参与实验干预的释放服刑人员中，半数获得了经济援助，其余人员未获得任何援助。本数据集对应的研究任务为基于9项特征预测服刑人员的再犯风险评分，其中敏感属性为种族：黑人属于被剥夺群体，其他种族属于受优待群体。

搜集汇总

背景与挑战

背景概述

ROSSI数据集包含432名马里兰州释放罪犯的跟踪数据，通过经济援助实验和9个特征(含种族敏感属性)来预测再犯罪风险，重点关注种族公平性问题。