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BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios

Authors :
Caglayan, Bora
Wang, Mingxue
Kelleher, John D.
Fei, Shen
Tong, Gui
Ding, Jiandong
Zhang, Puchao
Publication Year :
2024

Abstract

NL2SQL (Natural Language to Structured Query Language) transformation has seen wide adoption in Business Intelligence (BI) applications in recent years. However, existing NL2SQL benchmarks are not suitable for production BI scenarios, as they are not designed for common business intelligence questions. To address this gap, we have developed a new benchmark focused on typical NL questions in industrial BI scenarios. We discuss the challenges of constructing a BI-focused benchmark and the shortcomings of existing benchmarks. Additionally, we introduce question categories in our benchmark that reflect common BI inquiries. Lastly, we propose two novel semantic similarity evaluation metrics for assessing NL2SQL capabilities in BI applications and services.<br />Comment: This paper has been accepted by ICSOC (International Conference on Service-Oriented Computing) 2024

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2410.22925
Document Type :
Working Paper