首个高美学质量艺术风格数据集，涵盖全球多地特色风格。
Moonworks Lunara Aesthetic Dataset
- 用Moonworks Lunara模型生成，每张图配有人工优化提示与结构化标注。
- 美学评分显著高于专注美学和通用数据集，提升幅度更大。
- 适合艺术生成、风格迁移研究，支持学术与商业自由使用。
该数据集涵盖中东、北欧、东亚、南亚等区域性美学风格，以及素描、油画等通用类别。所有图像均由Moonworks Lunara模型生成，刻意设计以体现鲜明且高质量的艺术风格，成为首个美学评分显著超越美学专用及通用数据集的集合。每张图像均配有经人工优化的提示词和结构化标注，涵盖显著对象、属性、关系及风格特征。区别于强调广度的网络采集数据集，本数据集注重美学品质、风格多样性与许可透明性，采用Apache 2.0许可证发布，支持研究及无限制的学术与商业应用。
原文摘要 · Abstract (English)
The dataset spans diverse artistic styles, including regionally grounded aesthetics from the Middle East, Northern Europe, East Asia, and South Asia, alongside general categories such as sketch and oil painting. All images are generated using the Moonworks Lunara model and intentionally crafted to embody distinct, high-quality aesthetic styles, yielding a first-of-its-kind dataset with substantially higher aesthetic scores, exceeding even aesthetics-focused datasets, and general-purpose datasets by a larger margin. Each image is accompanied by a human-refined prompt and structured annotations that jointly describe salient objects, attributes, relationships, and stylistic cues. Unlike large-scale web-derived datasets that emphasize breadth over precision, the Lunara Aesthetic Dataset prioritizes aesthetic quality, stylistic diversity, and licensing transparency, and is released under the Apache 2.0 license to support research and unrestricted academic and commercial use.
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