amyguan/newswire-60-70-labor

该数据集包含多个字段，主要涉及新闻报道的相关信息，如文章内容、作者、日期、报纸元数据、主题分类（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。数据集还包含年份信息，并且已经分割为训练集，训练集包含14532个样本，文件大小约为72.4MB。

This dataset contains multiple fields primarily related to news articles, including article content, byline, dates, newspaper metadata, topic classifications (such as antitrust, civil rights, crime, etc.), named entity recognition (NER) information, geographic location information, mentioned person information, and year information. The dataset is split into a training set containing 14,532 samples, with a file size of approximately 72.4MB.