Multilingual Code Search Dataset

Multilingual code search datasets aim to bridge the gap between natural language queries and programming code across multiple languages, facilitating more efficient and inclusive code retrieval. Current research focuses on developing large, parallel datasets encompassing diverse programming and natural languages, often leveraging neural machine translation and transformer-based models like CodeT5+ for improved code understanding and generation. These efforts are significant because they enable the development of more robust and versatile code intelligence tools, benefiting software developers and researchers alike by improving cross-lingual code search, translation, and other code-related tasks.