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SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints
arXiv – CS AI|Rocky Klopfenstein, Yang He, Andrew Tremante, Yuepeng Wang, Nina Narodytska, Haoze Wu|
🤖AI Summary
SpotIt+ is a new open-source tool that evaluates Text-to-SQL systems through verification-based testing, actively searching for database instances that reveal differences between generated and ground truth SQL queries. The tool incorporates constraint-mining that combines rule-based specification mining with LLM validation to generate more realistic test scenarios.
Key Takeaways
- →SpotIt+ introduces verification-based evaluation for Text-to-SQL systems as an alternative to standard test-based methods.
- →The tool actively generates database instances that expose discrepancies between generated and correct SQL queries.
- →A constraint-mining pipeline combines rule-based specification mining with LLM-based validation for realistic testing.
- →Experimental results on BIRD dataset show improved detection of query discrepancies missed by traditional evaluation methods.
- →The open-source tool aims to make Text-to-SQL evaluation more comprehensive and practically relevant.
Read Original →via arXiv – CS AI
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