KaggleDBQA

KaggleDBQA is a dataset used to evaluate the performance of natural language to SQL (NL2SQL) systems in generating accurate SQL queries from natural language questions.

Papers using KaggleDBQA (4)

RubikSQL: Lifelong Learning Agentic Knowledge Base as an Industrial NL2SQL System2025Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting2023 · 9 citesDAC: Decomposed Automation Correction for Text-to-SQL2024 · 3 citesKaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers2021