electricsheepafrica/Africa-anxiety-dataset

非洲焦虑数据集是由Electric Sheep Africa生成的一个合成数据集，旨在模拟非洲背景下的心理健康表现。该数据集包含100,000行和12列，基于撒哈拉以南非洲的同行评审文献，捕捉了地区特定的患病率、风险因素（如贫困、冲突）和文化表现（如躯体症状、“想太多”）。该数据集专为研究、教育和方法测试目的设计，尊重真实世界数据的统计特性，但不暴露任何个人可识别信息（PII），因为每条记录都是完全合成的。

The Africa Anxiety Dataset is a synthetic dataset generated by Electric Sheep Africa to model mental health presentations in African contexts. It contains 100,000 rows and 12 columns. The generation is grounded in peer-reviewed literature from Sub-Saharan Africa, capturing region-specific prevalence rates, risk factors (e.g., poverty, conflict), and cultural presentations of distress (e.g., somatic symptoms, "thinking too much"). This dataset is designed for research, educational, and methodological testing purposes. It respects the statistical properties of real-world data without exposing any Private Identifiable Information (PII), as every record is entirely synthetic.