amyguan/newswire-70-80-civil-rights

该数据集包含新闻文章的多维度信息，涵盖文章内容、作者、发布日期、报纸的元数据（如LCCN编号、报纸所在城市、州和标题）、多个主题标签（如反垄断、民权、犯罪、政府监管、劳工运动、政治、抗议等）、命名实体识别（NER）相关的词和标签、电线信息（城市、州、国家、坐标等）、提到的人物信息（性别、姓名、职业等）、聚类大小和年份。数据集分为训练集，包含5126个样本，总大小为25548444.44690116字节。

The dataset contains various features such as articles, bylines, dates, newspaper metadata, and binary labels related to multiple topics. Additionally, it includes information for named entity recognition, geolocation, and mentioned individuals. The dataset is divided into a training set with 5126 samples.