ivanjaenm/otdata_100K_rowwise

这是一个包含多个浮点数列表特征的数据集，用于训练和测试优化模型。特征包括源距离、目标距离、输入成本矩阵、输入索引、输入总和以及不同的目标优化计划特征。数据集分为训练集和测试集，训练集包含800,000个示例，测试集包含200,000个示例。

This is a dataset containing multiple float list features for training and testing optimization models. Features include source distance, target distance, input cost matrix, input index, input total, and different target optimization plan features. The dataset is split into a training set and a test set, with the training set containing 800,000 examples and the test set containing 200,000 examples.