taichengguo/MTSQL-R1
Official Code for MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training
This project helps developers convert natural language questions into accurate SQL queries, even for complex, multi-turn conversations. It takes user questions and database schemas as input and produces executable SQL that correctly extracts the requested information. It is designed for engineers and data professionals who build applications requiring robust text-to-SQL capabilities.
Use this if you need to translate complex, evolving user questions in natural language into precise SQL for database interaction, particularly in conversational AI or analytical tools.
Not ideal if your application primarily involves single-turn, simple SQL queries or if you do not have a strong understanding of LLM training and deployment.
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Oct 18, 2025
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