Improving Text-to-SQL Evaluation Methodology

This post is a brief summary about the paper that I read for my study and curiosity, so I shortly arrange the content of the paper, titled Improving Text-to-SQL Evaluation Methodology (Finegan-Dollak et al., ACL 2018), that I read and studied.

They reorganized the existing datasets to resolve the promblem which is that traditional question-based splits allow queries to appear in both train and test.

Finegan-Dollack et al., ACL 2018

For detailed experiment and explanation, refer to the paper, titled Improving Text-to-SQL Evaluation Methodology (Finegan-Dollak et al., ACL 2018)

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The paper: Improvin Text-to-SQL Evaluation Methodology (Finegan-Dollack et al., ACL 2018)</div> # Reference - Paper - [ArXiv Version: Improving Text-to-SQL Evaluation Methodology (Finegan-Dollak et al., ArXiv 2018)](https://arxiv.org/abs/1806.09029) - [ACL Version: Improving Text-to-SQL Evaluation Methodology (Finegan-Dollak et al., ACL 2018)](https://aclanthology.org/P18-1033/) - Leaderboard & Github - [Github1](https://github.com/jkkummerfeld/text2sql-data) - How to use html for alert - [how to use icon](http://idratherbewriting.com/documentation-theme-jekyll/mydoc_icons.html) - How to use MathJax - [MathJax basic tutorial and quick reference in StackExchange](https://math.meta.stackexchange.com/questions/5020/mathjax-basic-tutorial-and-quick-reference)