amyguan/newswire-50-60-labor

该数据集包含新闻文章的多维度信息，包括文章内容、作者、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、电线信息、提及的人物信息等。数据集适用于文本分析和自然语言处理任务，特别是与新闻文章相关的分析。数据集包含一个训练集，大小为121885916.6892251字节，包含24455个样本。

This dataset contains detailed information about news articles, including the article body, author, dates, and newspaper metadata. It also includes multiple classification labels such as antitrust, civil rights, crime, and fields related to named entity recognition. The structure of the dataset is designed for news article analysis and classification tasks.