Aryan Gul contributed to the ScrollPrize/villa repository by enhancing the documentation for ink detection model training workflows. He authored a comprehensive project description and integrated references to a new data preprocessing repository, using Markdown to ensure clarity and accessibility. His work focused on outlining the data preprocessing steps required for efficient model training, thereby streamlining onboarding for data scientists and facilitating faster iteration cycles. While the contribution was limited to documentation and did not involve direct code changes or bug fixes, Aryan’s efforts established a clear technical foundation for future development and improved the discoverability of essential resources within the project.