pnsahoo/20-30-labor-embedding
收藏Hugging Face2024-12-08 更新2024-12-14 收录
下载链接：
https://hf-mirror.com/datasets/pnsahoo/20-30-labor-embedding
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资源简介：
该数据集包含多个特征，如文章内容、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、聚类大小、年份以及嵌入向量。数据集分为训练集，包含18,824个样本，总大小为202,760,051字节。
The dataset contains multiple features such as articles, bylines, dates, newspaper metadata, topic labels (e.g., antitrust, civil rights, crime, etc.), named entity recognition information, geographical information, mentioned people information, cluster size, year, and embedding vectors. The dataset is divided into a training set, containing 18824 samples. The size and download size of the dataset are also provided.
提供机构：
pnsahoo
