LAMDA-Tabular/TALENT

该数据集为针对表格数据的深度学习方法研究提供的基准数据集，包含了数值特征、分类特征和标签等，并提供了训练动态信息，包括训练时间、损失函数值和验证集结果等，用于分析和比较不同深度学习模型在表格数据上的表现。

This dataset is a benchmark dataset for research on deep learning methods for tabular data, containing numeric features, categorical features, and labels, along with training dynamic information such as training time, loss function values, and validation set results, used for analyzing and comparing the performance of different deep learning models on tabular data.