amyguan/newswire-50-60-macro

该数据集包含多个字段，涵盖了文章内容、作者信息、日期、报纸元数据、多个主题标签（如反垄断、民权、犯罪等）、命名实体识别（NER）相关的词汇和标签、地理位置信息、提到的人物信息等。数据集分为训练集，包含11141个样本，文件大小为55527744.74891257字节。

The dataset includes multiple fields covering article content, author information, dates, newspaper metadata, various topic labels (such as antitrust, civil rights, crime, etc.), named entity recognition (NER) related words and labels, geographic location information, mentioned person information, etc. The dataset is divided into a training set containing 11141 samples with a file size of 55527744.74891257 bytes.