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本工具之一。为便于其数值求解算法的开发，我们将大量不同问题类别的数据集以易读格式集中收集于一处。我们提供数据集存档链接、所考虑问题及其格式的描述，以及包括规模、实例数量等在内的简短问题特征总结。作为参考，我们还给出了文献中提出的用于求解这些问题的非穷举算法选列。希望这一中心仓库能够简化基准测试及与现有工作的比较过程。我们欢迎提交有趣的新数据集及算法，以纳入本档案之中。