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.

翻译：结构化预测问题是机器学习中的基础工具之一。为促进其数值求解算法的开发，我们在此集中收集了大量便于读取格式的数据集，涵盖多样化的问题类别。我们提供数据集的存档链接、所考虑问题及其格式的描述，以及包含规模、实例数量等特征的问题简要概览。作为参考，我们还列举了文献中提出的部分求解算法（非穷举）。希望这一中心存储库能简化基准测试与既有成果的对比流程。我们欢迎提交有趣的新数据集和算法以扩充本档案。