Subrat-369/Big-data
收藏资源简介：
Nemotron-Personas-Korea是一个基于韩国真实世界人口统计、地理和性格特征分布合成的开源人物角色数据集（CC BY 4.0）。它设计用于广泛反映韩国人口的多样性和特征，是首个大规模韩语人物角色数据集，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院、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融入地区特定人口统计和文化背景的主权AI系统，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。数据集包含100万条记录，涵盖700万个人物角色，具有26个字段，包括7个人物角色字段、6个人物角色属性字段、12个人口统计和地理上下文字段以及1个唯一标识符，覆盖17个省份和252个地区，包含20.9万个唯一姓名。数据使用NeMo Data Designer系统生成，基于专有概率图模型和google/gemma-4-31B-it模型。数据集仅包含成年人物角色（19岁及以上），并假设变量间独立性，未建模交互效应。
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, the Korea Rural Economic Institute, and NAVER Cloud. The dataset supports South Korean model builders in developing Sovereign AI systems that incorporate region-specific demographics and cultural context. It 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. The dataset contains 1M records with 7M personas across 26 fields, including 7 persona fields, 6 persona attribute fields, 12 demographic and geographic contextual fields, and 1 unique identifier, covering 17 provinces and 252 districts, with 209K unique names. It was created using NeMo Data Designer, leveraging a proprietary probabilistic graphical model and the google/gemma-4-31B-it model. The dataset includes only adult personas (19 years and older) and applies independence assumptions between variables without modeling interaction effects.
