SOS-HL-1K

We sourced our data by crawling comments from the “Zoufan” blog within the Weibo social platform. Subsequently, a team of qualified psychologists were enlisted to annotate the data. In our study, strict data preprocessing measures were adopted to protect users’ privacy.SOS-HL-1K (Suicide Risk Classification)Categories: High risk, Low riskNumber of Samples:High risk: 601Low risk: 648Data Split:Training set: 999 samplesTest set: 250 samplesAverage Number of Words per Post: 47.79Labels: Each post is labeled with either 'high risk' or 'low risk'.本数据集通过爬取微博社交平台“粥饭”博客中的评论而获得。随后，我们聘请了一支资质齐全的心理学团队对数据进行标注。在研究过程中，我们严格遵循数据预处理措施，以保障用户隐私。SOS-HL-1K（自杀风险分类）类别包括高风险和低风险。样本数量如下：高风险样本601个，低风险样本648个。数据分割：训练集包含999个样本，测试集包含250个样本。平均每篇评论字数为47.79字。标签：每篇评论均被标注为‘高风险’或‘低风险’。

搜集汇总

背景与挑战

背景概述

SOS-HL-1K是一个自杀风险分类数据集，包含1249个微博评论样本，分为高风险和低风险两类，由心理学家标注，适用于社会科学和健康研究。