EVOLVE: Evaluation of Language-to-SQL Validity and Effectiveness - A Detailed Review Framework for Complex Text-to-SQL Queries

EVOLVE provides a thorough exploration of the methodology and strategic approach employed in appraising text-to-sql for enterprise-scale applications. It delves into our unique tactics, evaluative measures and iterative enhancement processes aimed at steadily augmenting text-to-sql’s proficiency for robust SQL generation. With the advent of big data, the complexity and volume of database queries have exponentially increased. Navigating this intricate landscape, text-to-sql revolutionizes the querying process by enabling Non-SQL experts to use natural language queries. This ease of accessibility, however, underscores the criticality of accurately evaluating these queries to ensure their correctness and efficacy. Thus, our study emphasizes the development of appropriate validation metrics, which are essential in handling the complexities of big data queries. By focusing on these novel methodologies and metrics, we present a holistic view of our rigorous evaluation approach of text-to-sql.