A dataset to train AI in understanding and generating code.
Project CodeNet is a comprehensive dataset designed for artificial intelligence to learn coding. It features around 14 million code samples across more than 55 programming languages, totaling about 500 million lines of code.
This extensive collection serves as a vital resource for researchers and developers aiming to enhance coding practices. By improving AI's ability to interpret and translate code, Project CodeNet makes programming more accessible and efficient.
This dataset supports various applications, such as training AI to generate code, analyzing performance metrics, and assisting in legacy system modernization.
It plays a crucial role in advancing software development and educational programs.
Transform specifications into executable code effortlessly.
Quickly convert code between over 50 programming languages.
AI-driven code generation for efficient software development.
AI-driven code editor that accelerates software development.
Generate working code effortlessly for hardware projects.
Turn sketches into functional code quickly and efficiently.