SQL-Checker: Error Detection and Labeling for Text-to-SQL with Interpretability Analysis

This work first analyzes common error factors in Text-to-SQL, and designs a novel data synthesis framework based on these error factors, which simulates error factors to construct a basic error SQL data, and uses an error analysis template to distill high-quality SQL error analysis data from large-scale models.