amyguan/newswire-30-40

该数据集包含多个字段，涵盖了文章内容、作者、日期、报纸元数据、主题标签（如反垄断、民权、犯罪等）、命名实体识别（NER）信息、地理位置信息、提及的人物信息等。数据集还包含一个训练集分割，提供了字节大小和样本数量的信息。

The dataset contains multiple fields, such as articles, bylines, dates, newspaper metadata, and various topic labels (e.g., antitrust, civil rights, crime, etc.). Additionally, the dataset includes fields related to Named Entity Recognition (NER), geographical information, mentioned people information, cluster size, and year. The dataset is divided into a training set, containing 388,752 samples.