NextCoder is a synthetic dialogue coding editing dataset released by Microsoft in 2025. The related paper results are:NextCoder: Robust Adaptation of Code LMs to Diverse Code EditsIt is mainly used for fine-tuning large language models, helping to enhance the model's performance in code repair, refactoring, and optimization. It is very suitable for training AI programming assistants and improving code reading and multi-round interaction capabilities.

The dataset contains about 381k single-turn instruction samples (NextCoderDataset) and 57,000 multi-turn dialogue samples (Conversational version), covering 8 languages including Python, Java, C++, C, Rust, JavaScript, Go, Kotlin, etc. The data is generated by GPT‑4o and LLaMA‑3.3‑70B‑Instruct models.

Data distribution:

• JavaScript: 16030
• Python: 15279
• C:17153
• C++: 17337
• Rust: 16438
• Go: 15204
• Kotlin: 13272
• Java: 16328