diversevul

DiverseVul is a specialized dataset designed for deep learning-based vulnerability detection in source code. It includes 7,512 vulnerable code snippets and provides comprehensive metadata, enabling researchers to evaluate and enhance vulnerability detection models effectively. Notable features include detailed commit and repository links, as well as resources for conducting label noise analysis, facilitating advanced research in the field of software security.