MLSea-KG

MLSea-KG is a declaratively constructed and regularly updated KG with more than 1.44 billion RDF triples of ML experiments, regarding datasets used in ML experiments, tasks, implementations and related hyper-parameters, experiment executions, their configuration settings and evaluation results, code notebooks and repositories, algorithms, publications, models, scientists and practitioners. It integrates data from OpenML, Kaggle and Papers with Code.MLSea-KG 是一款采用声明式构建方式并定期更新的知识图谱（Knowledge Graph，KG），包含超过14.4亿条与机器学习实验相关的资源描述框架（Resource Description Framework，RDF）三元组，涵盖机器学习实验中使用的数据集、任务、实现方案及相关超参数、实验执行过程、配置设置与评估结果、代码笔记本与代码仓库、算法、学术出版物、模型、科研人员与行业从业者等多类内容。该数据集整合了来自OpenML、Kaggle及Papers with Code的公开数据。