pnsahoo/30-40-civil-rights-embedding

该数据集包含多个字段，涵盖了文章内容、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、提到的人物信息、聚类大小、年份以及嵌入向量等。数据集的训练集包含6991个样本，总大小为72415700字节。

This dataset is related to news articles, containing features such as article content, author byline, dates, newspaper metadata, topic labels, named entity recognition information, geographical information, and mentioned peoples information. The dataset is divided into a training set with 6991 samples, and the data size is 72415700 bytes.