CAMS

CAMS数据集是由中国香港中文大学等机构合作创建，专注于社交媒体帖子中精神健康问题的因果分析。该数据集包含5051条从Reddit爬取并标注的帖子，旨在通过自动化因果分析识别精神疾病背后的潜在原因。数据集的创建过程包括两个阶段：首先爬取并标注3155条Reddit帖子，其次重新标注公开的SDCNL数据集的1896个实例。CAMS数据集的应用领域主要集中在精神健康问题的自动化因果分析，旨在帮助识别和理解导致精神疾病的直接原因，从而为精神健康问题的预防和治疗提供支持。

The CAMS dataset was collaboratively developed by institutions including The Chinese University of Hong Kong, focusing on causal analysis of mental health issues in social media posts. It contains 5,051 annotated posts crawled from Reddit, aiming to identify potential underlying causes of mental illnesses through automated causal analysis. The development of the CAMS dataset consists of two phases: first, crawling and annotating 3,155 Reddit posts, and second, re-annotating 1,896 instances from the publicly available SDCNL dataset. The primary application fields of the CAMS dataset focus on automated causal analysis of mental health issues, with the goal of helping identify and understand the direct causes leading to mental illnesses, thereby providing support for the prevention and treatment of mental health problems.