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.

翻译：本数据集涵盖多样化的艺术风格，包括中东、北欧、东亚和南亚等具有地域特色的美学风格，以及素描和油画等通用类别。所有图像均使用Moonworks Lunara模型生成，并经过精心设计以体现独特且高质量的美学风格，从而构建出首个具有显著更高美学评分的同类数据集——其评分甚至超越以美学为核心的专用数据集，与通用数据集的差距则更为明显。每张图像均附有人工优化的提示词及结构化标注，共同描述显著物体、属性、关系及风格特征。与强调广度而非精确性的大规模网络爬取数据集不同，Lunara美学数据集优先关注美学质量、风格多样性和许可透明度，并基于Apache 2.0许可证发布，以支持研究及无限制的学术与商业用途。