jfcalvo/export-testing-270

该数据集包含多个特征，如id、status、text等，每个特征都有其特定的数据类型和可能的标签值。status字段是一个分类标签，包含pending和completed两个值。此外，数据集中还包含多个复合特征，如label.responses、multi-label_1.responses等，这些特征进一步包含子特征，如users和status，这些子特征也有自己的数据类型和标签值。数据集被分为一个训练集，包含10000个样本，总大小为14344725字节。

The dataset includes multiple features such as id, status, text, etc., each with its specific data type and possible label values. The status field is a class label containing two values: pending and completed. Additionally, the dataset contains several composite features like label.responses, multi-label_1.responses, etc., which further include sub-features such as users and status, each with its own data type and label values. The dataset is divided into a training set containing 10,000 samples, with a total size of 14,344,725 bytes.