Code Datasets

Code datasets are collections of source code used to train and evaluate machine learning models for various code-related tasks, such as code generation, vulnerability detection, and program repair. Current research focuses on creating larger, more diverse datasets encompassing multiple programming languages and incorporating metadata like code comments and usage context, often leveraging large language models (LLMs) like GPT variants and transformer architectures for analysis and generation. These datasets are crucial for advancing the field of AI-assisted software development, enabling the creation of more robust and efficient tools for programmers and improving software security through automated vulnerability detection.