Structured Prediction Problem Archive
This provides a centralized repository for researchers and practitioners working on structured prediction, making benchmarking and comparison easier, though it is incremental as it compiles existing resources.
The authors tackled the lack of a centralized resource for structured prediction problems by creating an archive that collects numerous datasets in accessible formats, including descriptions and characteristics, to facilitate algorithm development and benchmarking.
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.