Constraint Assignment Space

该数据集是一个小型、完整的约束分配空间，包含约500至600个分配任务，其中大约有10%至20%的解决方案。此外，数据集还包括含有10000个解决方案和10000个非解决方案的抽样测试集，这些测试集在诸如全不同、有序、线性求和、一维不重叠和最小值等约束上进行过测试。该数据集的规模属于小型至中型，包含约500至600个分配任务，其任务目标是学习组合优化约束的错误函数。

This dataset is a small, complete constraint assignment space, containing approximately 500 to 600 assignment tasks, with roughly 10% to 20% of them having feasible solutions. Additionally, the dataset includes a sampled test set with 10,000 solutions and 10,000 non-solutions, which has been tested against constraints such as all-different, ordering, linear summation, one-dimensional non-overlapping, and minimum value. The scale of this dataset ranges from small to medium, encompassing approximately 500 to 600 assignment tasks, and its task objective is to learn the error function for combinatorial optimization constraints.