Abstract: Natural language interfaces to databases promise to democratize data access, yet current Text-to-SQL systems fail to address a fundamental challenge: user questions are often ambiguous.
Supports execution-based metrics, multiple ground truths, LLM-as-judge, and rich error analysis. Text-to-SQL systems aim to translate natural language questions into ...
Welcome to the Data Warehouse and Analytics Project repository! 🚀 This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating ...
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