Text-to-SQL benchmarks must handle real-world data challenges

A Hacker News post argues that existing text-to-SQL benchmarks fail to reflect the difficulties of real-world databases. It emphasizes that benchmarks should include messy, inconsistent data and complex schemas to be truly useful. This matters because improving benchmark realism is key to advancing practical natural language querying.

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