CodeSearchNet Corpus

CodeSearchNet is a large-scale dataset of code snippets and natural language descriptions used to train and evaluate models for code search and related tasks like code generation and code completion. Current research focuses on improving the accuracy and efficiency of these models, exploring architectures like neural module networks and contrastive pre-training to better align text and code representations, and addressing limitations in handling diverse programming languages and complex code structures. This work is significant because it directly impacts developer productivity through improved code search and automated code assistance tools, while also advancing the understanding of how large language models process and represent code.