OpenCodeReasoning introduces an open approach to distill reasoning abilities into smaller language models for competitive coding tasks.

• Creates a superior supervised fine-tuning dataset that bridges the gap between reasoning and standard LLMs
• Offers transparent methodologies for data curation and filtering, addressing proprietary limitations
• Demonstrates how to effectively transfer complex reasoning skills to more accessible models
• Provides direct applications for computer science education and programming skill development

This research democratizes access to advanced reasoning techniques, making them available for educational applications and potentially transforming how programming is taught and learned.

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding