Dataset used in the paper "3D printing for Repair: An Approach for Enhancing Repair"

Dataset used in the paper "3D printing for Repair: An Approach for Enhancing Repair" by Van Oudheusden et al., 2023. It collects data on 45 repair cases by students that perform one iteration of the 3D printing for repair process for the first time during a three-day practicum. The data set documents what incorrect and correct steps were made, and also what suitability and unsuitability types the part in each repair case had. Data coding was done independently by two researchers with a predetermined data coding table (see paper), and a coding agreement of 0,81 using Cohen's Kappa.

本数据集为Van Oudheusden等人2023年发表的论文《3D打印修复：一种优化修复的方法》（3D printing for Repair: An Approach for Enhancing Repair）中所使用的数据集。该数据集收录了45个修复案例的相关数据，案例主体为学生群体——他们在为期三天的实训课程中首次完成一轮3D打印修复流程的实践操作。数据集详细记录了每个修复案例中出现的错误操作与正确操作，同时还记录了各案例中待修复工件的适配类型与不适配类型。数据编码工作由两名研究人员基于预先拟定的编码表（详见论文）独立完成，最终通过科恩卡帕系数（Cohen's Kappa）计算得到的编码一致性为0.81。