The main objective of the project is to provide a large-scale, high-quality, and versatile robotics dataset to the community in a FAIR (Findable, Accessible, Interoperable, and Reusable) and open manner. The dataset is accompanied by a publicly available benchmark and tools to facilitate data sharing across institutions. Through careful, accessibility-focused post-processing, the dataset is designed to be usable by researchers from diverse backgrounds, including computer vision, mechanical engineering, and physics, with minimal need for specialized tooling knowledge. We have developed and prepared the "GrandTour" dataset and the data sharing interface “Kleinkram” in accordance with these goals.