@online{Swoboda2202.03574,
TITLE = {Structured Prediction Problem Archive},
AUTHOR = {Swoboda, Paul and Hor{\v n}{\'a}kov{\'a}, Andrea and R{\"o}tzer, Paul and Savchynskyy, Bogdan and Abbas, Ahmed},
LANGUAGE = {eng},
URL = {https://arxiv.org/abs/2202.03574},
EPRINT = {2202.03574},
EPRINTTYPE = {arXiv},
YEAR = {2022},
ABSTRACT = {Structured prediction problems are one of the fundamental tools in machine<br>learning. In order to facilitate algorithm development for their numerical<br>solution, we collect in one place a large number of datasets in easy to read<br>formats for a diverse set of problem classes. We provide archival links to<br>datasets, description of the considered problems and problem formats, and a<br>short summary of problem characteristics including size, number of instances<br>etc. For reference we also give a non-exhaustive selection of algorithms<br>proposed in the literature for their solution. We hope that this central<br>repository will make benchmarking and comparison to established works easier.<br>We welcome submission of interesting new datasets and algorithms for inclusion<br>in our archive.<br>},
}