jfcalvo/export-testing-276

该数据集包含多个特征字段，如id、status、text等，每个字段都有详细的数据类型描述。标签类别包括二分类（neg/pos）、多分类（news/sports/international/politics）、评分（int64）、排名（value/rank）和跨度标注（organisation/person/event）。数据集分为训练集，包含10000个样本，总大小为14344713字节。

The dataset contains multiple feature fields such as id, status, text, etc., with detailed data type descriptions for each field. Label categories include binary classification (neg/pos), multi-class classification (news/sports/international/politics), rating (int64), ranking (value/rank), and span annotation (organisation/person/event). The dataset is divided into a training set containing 10,000 samples, with a total size of 14,344,713 bytes.