New benchmark 'persona-bench' highlights text-to-SQL accuracy gap

The text-to-SQL benchmark landscape, dominated by BIRD and Spider, often uses schemas that do not reflect real-world user applications. The author introduces 'persona-bench,' a new benchmark designed with schemas and queries representative of typical user interactions with products like nlqdb. This new benchmark, using the same scoring mechanism as BIRD and Spider, shows a significantly higher accuracy for their system, highlighting the importance of using relevant benchmarks for evaluating text-to-SQL performance in practical scenarios. AI

IMPACT Highlights the need for more realistic benchmarks in text-to-SQL to better reflect real-world application performance.

RANK_REASON Introduces a new benchmark for evaluating text-to-SQL models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

• BIRD
• nlqdb
• persona-bench
• PostgreSQL

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