ivanjaenm/otdata_1M_rowwise_cost_variable

这是一个包含多种浮点数类型特征的机器学习数据集，特征包括源距离、目标距离、输入成本矩阵、输入索引、输入总和以及两种目标解的密集和稀疏表示。数据集分为训练集和测试集，其中训练集包含800万个示例，大小为10.5GB；测试集包含200万个示例，大小为2.6GB。数据集总大小为12.1GB，下载大小为2.1GB。

This is a machine learning dataset containing various floating-point features including source distance, target distance, input cost matrix, input index, input total, and dense and sparse representations of two target solutions. The dataset is split into a training set and a test set, with the training set containing 8 million examples and a size of 10.5GB, while the test set contains 2 million examples and is 2.6GB in size. The total size of the dataset is 12.1GB, with a download size of 2.1GB.