OSU-NLP-Group/Auto-SQL-Correction
Code, data, and model of paper "Text-to-SQL Error Correction with Language Models of Code" (ACL'23)
This project helps developers and data scientists who work with Text-to-SQL models. It takes an erroneous SQL query that was generated by a Text-to-SQL model and corrects it. The output is a refined, error-free SQL query, making the process of interacting with databases via natural language more reliable. This is useful for anyone building or evaluating Text-to-SQL systems.
No commits in the last 6 months.
Use this if you are a developer or data scientist looking to improve the accuracy and robustness of your Text-to-SQL model's output by automatically correcting generated SQL queries.
Not ideal if you are an end-user simply trying to query a database in natural language and don't manage or develop Text-to-SQL systems.
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31
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Language
Python
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Last pushed
Aug 22, 2024
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