ObscuraCoder/code-classification

该数据集整合了三个类别平衡的代码分类数据集，这些数据集在现实世界中被广泛使用，并且每个数据集的划分都是根据标签进行分层的。这些数据集的来源包括：1. CodeXGLUE缺陷检测（来源：[semeru/code-code-DefectDetection]）；2. BigCloneBench克隆检测（来源：[nchen909/bigclonebench-processed]）；3. CodeComplex代码运行时复杂度预测（来源：[codeparrot/codecomplex]）。

This dataset collates three class-balanced code classification datasets in the wild, where splits have been stratified by label. The dataset includes tasks for clone detection, code runtime complexity prediction, and defect detection. Each task has different source code and label features, and the dataset is divided into train, validation, and test sets.