MULAN Project Datasets

该数据集是一组用于多标签学习和特征选择的基准数据集。它包含了10个多标签基准数据集，详细列出了每个数据集的样本数量、特征数量、类别标签、标签基数以及标签密度等信息。这些数据集的任务是进行多标签特征选择。

This dataset comprises a set of benchmark datasets for multi-label learning and feature selection. It includes 10 multi-label benchmark datasets, with detailed metrics such as the number of samples, number of features, class labels, label cardinality, and label density listed for each individual dataset. The core task for these datasets is multi-label feature selection.