Technologies and processes for managing the iterative updates of datasets, recording operations such as data addition/deletion, annotation modification, augmentation strategy changes, and format conversion each time. It facilitates historical version tracing, model experiment result reproduction, collaborative development, and problem troubleshooting, serving as an important part of large-scale machine learning engineering.
