Researchers introduce OpenCodeInstruct, a groundbreaking dataset of 5 million diverse programming samples designed to improve code generation capabilities in Large Language Models.

• Largest open-access resource for instruction tuning of code-generating AI models
• Diverse programming challenges across multiple languages and difficulty levels
• Addresses critical data scarcity that has limited progress in code-capable LLMs
• Enables better software engineering tools for automated coding, debugging, and reasoning tasks

This research accelerates the development of more capable coding assistants for engineering teams, potentially transforming how developers write and debug code while making advanced AI coding capabilities more accessible.

OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs