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.
Cite
@article{arxiv.2410.22925,
title = {BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios},
author = {Bora Caglayan and Mingxue Wang and John D. Kelleher and Shen Fei and Gui Tong and Jiandong Ding and Puchao Zhang},
journal= {arXiv preprint arXiv:2410.22925},
year = {2024}
}
Comments
This paper has been accepted by ICSOC (International Conference on Service-Oriented Computing) 2024