During November 2024, Daiki developed a dataset comparison table to enhance documentation for object detection workflows in the IBM/terratorch repository. By leveraging data analysis and Markdown, Daiki created a structured resource that enables users to efficiently compare datasets, supporting more informed selection and streamlined experimentation. The documentation was integrated with version control, reflecting disciplined engineering practices and attention to maintainability. This work addressed a key need for clarity in dataset evaluation, improving onboarding and daily usage for the team. While the contribution focused on a single feature, it demonstrated depth in documentation and a thoughtful approach to supporting data-driven development.