CUPUM/mid-space

MID-Space数据集旨在将AI生成的城市公共空间视觉化与蒙特利尔多样化和边缘化社区的偏好对齐。该数据集包含文本提示、Stable Diffusion XL生成的图像以及基于六个标准（可访问性、安全性、多样性、包容性、吸引力和舒适性）的社区偏好注释。数据集结构包括CSV文件、图像文件夹和文档文件。数据收集过程包括标准选择、注释者选择、提示收集、图像生成和人工注释。

The MID-Space dataset is designed to align AI-generated visualizations of urban public spaces with the preferences of diverse and marginalized communities in Montreal. It includes textual prompts, Stable Diffusion XL images, and annotations reflecting community preferences based on six criteria: Accessibility, Safety, Diversity, Inclusivity, Invitingness, and Comfort. The dataset structure includes a CSV file, image folders, and documentation files. The data collection process involved criteria selection, annotator selection, prompt collection, image generation, and human annotation.