Mxode/CAMS

CAMS（中文属性化多方面摘要数据集）是一个包含100万篇高质量中文长文章的大规模摘要数据集，每篇文章都配备了三个不同粒度的摘要（长摘要、中摘要、短摘要）和一组丰富的属性标签，如关键词、陈述类型、情感倾向、正式度和时态等。数据集旨在为长文本摘要研究和模型训练提供支持。

CAMS (Chinese Attribute-based Multi-faceted Summarization Dataset) is a large-scale summarization dataset containing 1 million high-quality Chinese long articles, each accompanied by three different levels of summaries (long, medium, short) and a set of rich attribute tags such as keywords, statement types, sentiment orientations, formality, and tense. The dataset aims to support research and model training in long-text summarization.