The CTU Prague Relational Learning Repository
Jan Motl, Oliver Schulte
TL;DR
The CTU Prague Relational Learning Repository offers a comprehensive collection of 148 multi-relational SQL databases with metadata, supporting research in machine learning on relational data.
Contribution
It introduces a publicly accessible repository of relational databases with detailed metadata to facilitate machine learning research.
Findings
Contains 148 SQL databases for research use
Provides detailed metadata for each database
Supports machine learning research with relational data
Abstract
The aim of the Prague Relational Learning Repository is to support machine learning research with multi-relational data. The repository currently contains 148 SQL databases hosted on a public MySQL server located at https://relational.fel.cvut.cz. The server is provided by the Czech Technical University (CTU). A searchable meta-database provides metadata (e.g., the number of tables in the database, the number of rows and columns in the tables, the number of self-relationships).
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Taxonomy
TopicsBioinformatics and Genomic Networks