In this paper, we present CornOrb, a publicly accessible multimodal dataset of Orbscan corneal topography images and clinical annotations collected from patients in Algeria. The dataset comprises 1,454 eyes from 744 patients, including 889 normal eyes and 565 keratoconus cases. For each eye, four corneal maps are provided (axial curvature, anterior elevation, posterior elevation, and pachymetry), together with structured tabular data including demographic information and key clinical parameters such as astigmatism, maximum keratometry (Kmax), central and thinnest pachymetry, and anterior/posterior asphericity. All data were retrospectively acquired, fully anonymized, and pre-processed into standardized PNG and CSV formats to ensure direct usability for artificial intelligence research. This dataset represents one of the first large-scale Orbscan-based resources from Africa, specifically built to enable robust AI-driven detection and analysis of keratoconus using multimodal data. The data are openly available at Zenodo.

翻译：本文提出CornOrb——一个公开可获取的多模态数据集，包含来自阿尔及利亚患者的Orbscan角膜地形图图像及临床标注。该数据集涵盖744名患者的1,454只眼，包括889只正常眼和565例圆锥角膜病例。每只眼提供四类角膜地图（轴向曲率图、前表面高度图、后表面高度图及角膜厚度图），同时附带结构化表格数据，包含人口统计学信息及关键临床参数（如散光度、最大角膜曲率Kmax、中央及最薄点角膜厚度、前后表面非球面性）。所有数据均为回顾性采集，经完全匿名化处理，并预处理为标准PNG及CSV格式，以确保可直接用于人工智能研究。该数据集是首批基于Orbscan的大规模非洲数据资源之一，专为利用多模态数据实现稳健的AI驱动圆锥角膜检测与分析而构建。数据已公开存储在Zenodo平台。