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This document presents SM3-Text-to-Query, the first multi-model medical Text-to-Query benchmark developed based on synthetic patient data. It explores the implications of various database models for query complexity and performance, providing evaluations across SQL, MQL, Cypher, and SPARQL for diverse natural language query pairs. The benchmark includes data representations for relational databases, document stores, and graph databases with a focus on electronic health records.
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How to fill out sm3-text-to-query

01
Access the application or platform where the sm3-text-to-query feature is available.
02
Locate the sm3-text-to-query input field.
03
Begin by typing your query in natural language, specifying what information or action you desire.
04
Make sure to include relevant keywords or phrases that relate to your query.
05
Review your text for clarity and ensure it is concise.
06
If applicable, select any additional options or filters provided alongside the input field.
07
Submit your query by clicking on the designated button, often labeled 'Search', 'Submit', or similar.

Who needs sm3-text-to-query?

01
Data analysts looking to convert user-friendly text into structured queries.
02
Developers needing to enhance search functionality using natural language inputs.
03
End-users who prefer typing questions in plain language instead of complex query languages.
04
Businesses aiming to improve customer interaction through efficient query processing.
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sm3-text-to-query is a regulatory document used for submitting specific information related to certain business activities or compliance requirements.
Entities or individuals that engage in activities subject to regulatory oversight are required to file sm3-text-to-query.
To fill out sm3-text-to-query, individuals or businesses must provide the required details, follow the prescribed format, and ensure all sections are completed accurately.
The purpose of sm3-text-to-query is to collect and standardize information that aids regulatory bodies in monitoring compliance and assessing business practices.
The information that must be reported includes identification details, nature of the query, relevant activities, and compliance data.
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