In the ever-evolving world of artificial intelligence, the demand for high-quality datasets has never been greater. Introducing ‘code_bagel,’ a groundbreaking dataset designed to revolutionize the training of AI models for coding tasks.

With an astonishing 882,519,037 billion high-quality tokens, ‘code_bagel’ is a true behemoth in the realm of instruction-based coding datasets. Each line is meticulously curated, ensuring uniqueness and diversity, while maintaining the utmost quality through rigorous deduplication and uncensoring processes. This comprehensive dataset offers a coding bagel with everything coding-related, spanning an impressive 800 million tokens of unique coding data. Its versatility extends to supporting over 100 coding languages, catering to a wide range of programming needs.

The creation of ‘code_bagel’ was a collaborative effort, combining the largest and highest-quality instruction-based coding datasets from Hugging Face. Through a meticulous process of downloading, extracting, combining, deduplicating, and uncensoring, this dataset emerged as a true masterpiece, ready to unlock the full potential of AI models in the coding domain.