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Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization

Authors :
Xu, Canwen
McAuley, Julian
Wang, Penghan
Publication Year :
2023

Abstract

We present Mirror, an open-source platform for data exploration and analysis powered by large language models. Mirror offers an intuitive natural language interface for querying databases, and automatically generates executable SQL commands to retrieve relevant data and summarize it in natural language. In addition, users can preview and manually edit the generated SQL commands to ensure the accuracy of their queries. Mirror also generates visualizations to facilitate understanding of the data. Designed with flexibility and human input in mind, Mirror is suitable for both experienced data analysts and non-technical professionals looking to gain insights from their data.<br />Comment: The Web Conference (WWW 2023) Demo

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2303.08697
Document Type :
Working Paper
Full Text :
https://doi.org/10.1145/3543873.3587309