DannyWoogagongtayafull/Nemotron-Personas-Korea

Nemotron-Personas-Korea是一个基于韩国真实人口统计、地理和人格特征分布合成的开源人物数据集（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数据集，它包含姓名、性别、年龄、婚姻状况、教育水平、职业和居住地区等属性，这些属性基于韩国统计信息服务、韩国最高法院、国民健康保险公团、韩国农村经济研究院和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结合重要地区特定人口统计和文化背景的Sovereign AI系统。它可用于扩大主权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。与现有人物数据集相比，它更忠实于真实人口分布，涵盖年龄（例如老年人口）、地区（例如农村地区）、教育水平和职业等多个维度。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。数据集包含700万个人物，覆盖100万条记录，26个字段，包括7个人物字段、6个人物属性字段、12个人口统计和地理上下文字段以及1个唯一标识符。它涵盖17个省份和252个区县的全面地理覆盖，包含209,000个独特姓名（118个姓氏，21,400个名字），以及7种人物类型：职业、体育、艺术、旅行、烹饪、家庭和简洁型。数据集遵循CC BY 4.0许可，可用于商业和非商业用途。

Nemotron-Personas-Korea is an open-source persona dataset (CC BY 4.0) synthesized based on real-world demographic, geographic, and personality trait distributions of South Korea. It is designed to broadly reflect the diversity and characteristics of the South Korean population. As the first large-scale Korean-language persona dataset, it includes attributes such as name, sex, age, marital status, education level, occupation, and region of residence, all synthesized using official statistics from the Korean Statistical Information Service (KOSIS), the Supreme Court of Korea, the National Health Insurance Service, and the Korea Rural Economic Institute, and NAVER Cloud. Nemotron-Personas-Korea supports South Korean model builders in developing Sovereign AI systems that incorporate important region-specific demographics and cultural context. This dataset can be used to expand the diversity of synthetic data for sovereign AI model development, mitigate data and model bias, and improve the diversity of model responses. In particular, compared to existing persona datasets, it is designed to more faithfully reflect real population distributions across multiple dimensions, including age (e.g., elderly populations), region (e.g., rural areas), education level, and occupation. The dataset was created using NeMo Data Designer, an enterprise-grade compound AI system for synthetic data generation. It leverages a proprietary probabilistic graphical model (PGM), the Apache-2.0 licensed google/gemma-4-31B-it model, and the validation and evaluation methods included in Data Designer. The dataset contains 7M personas across 1M records, 26 fields: 7 persona fields, 6 persona attribute fields, 12 demographic & geographic contextual fields, and 1 unique identifier. It includes comprehensive geographic coverage across 17 provinces and 252 districts, 209K unique names (118 surnames, 21.4K given names), and 7 persona types: professional, sports, arts, travel, culinary, family, concise. This dataset is freely available for both commercial and non-commercial use.