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Structured Prediction Problem Archive

4 February 2022
Paul Swoboda
Bjoern Andres
Andrea Hornáková
Florian Bernard
Jannik Irmai
Paul Roetzer
Bogdan Savchynskyy
David Stein
Ahmed Abbas
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Abstract

Structured prediction problems are one of the fundamental tools in machine learning. In order to facilitate algorithm development for their numerical solution, we collect in one place a large number of datasets in easy to read formats for a diverse set of problem classes. We provide archival links to datasets, description of the considered problems and problem formats, and a short summary of problem characteristics including size, number of instances etc. For reference we also give a non-exhaustive selection of algorithms proposed in the literature for their solution. We hope that this central repository will make benchmarking and comparison to established works easier. We welcome submission of interesting new datasets and algorithms for inclusion in our archive.

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