CodeSCAN: ScreenCast ANalysis for Video Programming Tutorials

CodeSCAN is the first large-scale and diverse dataset of coding screenshots with pixel-perfect annotations. It features: 24 popular programming languages (according to Github) 100 random repositories per language (with MIT, BSD-3 or WTFPL License), i.e. 2.400 repositories in total Per repository we use 5 files, i.e. 12.000 files in total ~100 different themes and 25 different fonts Diverse layouts changes, such as menu bar visibility, sidebar position, output window content, etc. Numerous realistic interactions such as searching, typing and selecting within a file, etc. Check our project page for details. The dataset is for academic research use only.