amyguan/newswire-20-30-labor

该数据集包含新闻文章的相关信息，涵盖文章内容、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）相关字段、地理位置信息、提及的人物信息等。数据集分为训练集，包含18824个样本，总大小为93820506.88030969字节，下载大小为23185111字节。

This dataset contains information related to news articles, including article content, byline, dates, newspaper metadata, topic labels (such as antitrust, civil rights, crime, etc.), named entity recognition (NER) related fields, geographic location information, mentioned person information, etc. The dataset is divided into a training set, containing 18,824 samples, with a total size of 93,820,506.88030969 bytes and a download size of 23,185,111 bytes.