tantara/Nemotron-Personas-USA-Qwen3-0.6B-embedding

该数据集是使用Qwen/Qwen3-Embedding-0.6B模型为nvidia/Nemotron-Personas-USA数据集计算的1024维嵌入向量，包含源数据集前100万行数据，嵌入的列包括professional_persona、sports_persona、arts_persona、travel_persona、culinary_persona、persona、cultural_background、skills_and_expertise、hobbies_and_interests、career_goals_and_ambitions、sex、age、marital_status、education_level、bachelors_field、occupation、city、state、zipcode和country，数据集结构包含uuid主键和embedding向量列。

Embeddings for nvidia/Nemotron-Personas-USA computed with Qwen/Qwen3-Embedding-0.6B, with 1024-dimensional vectors covering the first 1 million rows of the source dataset, embedding columns such as professional_persona, sports_persona, arts_persona, travel_persona, culinary_persona, persona, cultural_background, skills_and_expertise, hobbies_and_interests, career_goals_and_ambitions, sex, age, marital_status, education_level, bachelors_field, occupation, city, state, zipcode, and country, and includes uuid as primary key and embedding vector columns.