Categorical Anomaly Detection Datasets

该数据集是一套源自公开可获取的精选数据仓库的类别数据集，旨在测试Gumbel噪声得分匹配方法在异常检测任务中的应用。数据集被划分为内点和异常点，其中内点进一步细分为训练集、验证集和测试集，以支持在类别数据中的异常检测任务。

This dataset is a categorical dataset sourced from curated publicly available data repositories, and is designed to test the application of the Gumbel Noise Score Matching method in anomaly detection tasks. The dataset is divided into inliers and outliers, where the inliers are further split into training, validation, and test sets to support anomaly detection tasks on categorical data.