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:结构性的预测问题是机器学习的基本工具之一。为了便利算法发展其数字解决方案,我们在一个地方收集大量易读的数据集,用于一系列不同的问题类别。我们提供数据集的档案链接,说明所考虑的问题和问题格式,以及问题特点的简短摘要,包括大小、实例数量等。为了参考,我们还对文献中建议的算法进行非详尽的选择,以便加以解决。我们希望这个中央储存库能够使基准和比较与已经建立的工作更容易。我们欢迎提交有趣的新数据集和算法,以便纳入我们的档案。