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

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arxiv 2303.08697 v1 pith:IZDCAVP2 submitted 2023-03-15 cs.DB cs.AIcs.CLcs.SE

Canwen Xu , Julian McAuley , Penghan Wang This is my paper · ORCID
classification cs.DBcs.AIcs.CLcs.SE
keywords datamirrorlanguagenaturalcommandsgeneratesinterfacequerying
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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