CoDesc: A Large Code-Description Parallel Dataset

Understand

Translation between natural language and source code can help software development by enabling developers to comprehend, ideate, search, and write computer programs in natural language.

• Despite growing interest from the industry and the research community, this task is often difficult due to the lack of large standard datasets suitable for training deep neural models, standard noise removal methods, and evaluation benchmarks.
• This leaves researchers to collect new small-scale datasets, resulting in inconsistencies across published works.
• In this study, we present CoDesc -- a large parallel dataset composed of 4.2 million Java methods and natural language descriptions.