Wowso/Nemotron-Personas-Korea

Nemotron-Personas-Korea是一个基于韩国真实人口统计、地理和人格特质分布合成的开源人物角色数据集（CC BY 4.0），旨在广泛反映韩国人口的多样性和特征。作为首个大规模韩语人物角色数据集，它包含姓名、性别、年龄、婚姻状态、教育水平、职业和居住地区等属性，所有属性均基于韩国统计信息院、大法院、国民健康保险公团、农村经济研究院和NAVER Cloud的官方统计数据合成。该数据集支持韩国模型开发者构建包含重要地区特定人口统计和文化背景的Sovereign AI系统，可用于扩大Sovereign AI模型开发的合成数据多样性、减轻数据和模型偏见，并提高模型响应的多样性。特别是，与现有的人物角色数据集相比，它更忠实地反映了多个维度上的真实人口分布，包括年龄（例如老年人口）、地区（例如农村地区）、教育水平和职业。数据集使用NeMo Data Designer（一个企业级合成数据生成复合AI系统）创建，利用专有的概率图模型、Apache-2.0许可的google/gemma-4-31B-it模型以及Data Designer中包含的验证和评估方法。该数据集可免费用于商业和非商业用途。Nemotron-Personas-Korea is an open-source synthetic persona dataset (licensed under CC BY 4.0) developed based on the real demographic, geographic, and personality trait distributions of the Korean population, aiming to comprehensively reflect the diversity and characteristics of the Korean populace. As the first large-scale Korean persona dataset, it includes attributes such as name, gender, age, marital status, education level, occupation, and residential region, with all attributes synthesized using official statistical data from the Korea National Statistical Office, the Supreme Court of Korea, the National Health Insurance Service, the Rural Economic Research Institute, and NAVER Cloud. This dataset enables Korean model developers to build Sovereign AI systems that incorporate critical region-specific demographic and cultural backgrounds, and can be used to expand the diversity of synthetic data for Sovereign AI model development, mitigate data and model biases, and improve the diversity of model responses. Notably, compared to existing persona datasets, it more faithfully reflects real population distributions across multiple dimensions, including age (e.g., elderly population), region (e.g., rural areas), education level, and occupation. The dataset was created using NeMo Data Designer, an enterprise-grade composite AI system for synthetic data generation, leveraging proprietary probabilistic graphical models, the Apache-2.0 licensed google/gemma-4-31B-it model, and the validation and evaluation methods included in Data Designer. This dataset is freely available for both commercial and non-commercial use.