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。为促进其数值求解算法的开发，我们在单一平台上收集了多种问题类别的大量数据集，并以易于读取的格式呈现。我们提供数据集的归档链接、所考虑问题及其格式的描述，以及包含规模、实例数量等在内的问题特征简要总结。此外，为便于参考，我们还列举了文献中提出的非穷尽性求解算法选择。我们期望这一中心存储库能够简化基准测试与现有工作的比较过程。欢迎提交有趣的新数据集和算法以收录至本档案中。