Chia-Hsuan-Lee/KaggleDBQA
Introduction page of a challenging text-to-SQL dataset: KaggleDBQA
This project offers a collection of real-world database questions and their corresponding SQL queries, designed to help improve systems that translate natural language into database commands. It takes everyday questions about data, like "Which school district received the most federal revenue?", and provides the precise SQL query needed to get that answer from a database. This resource is for researchers and developers building sophisticated data analysis tools that allow users to ask questions in plain English, without knowing SQL.
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Use this if you are developing or evaluating a system that needs to accurately convert complex, real-world natural language questions into executable SQL queries for various types of databases.
Not ideal if you are looking for a simple SQL tutorial or a tool to directly query a database without building a translation model.
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Sep 20, 2023
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