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.Latest update: Dec 11th 2025 Explore the paper, ontology and the code related to constructing the knowledge graph: https://dtai-kg.github.io/MLSea-KGC/MLSea-KG是一款以声明式方式构建并定期更新的知识图谱（Knowledge Graph，KG），收录超14.4亿条机器学习实验相关的RDF三元组，覆盖机器学习实验所用数据集、任务类型、实现方案及对应超参数、实验执行流程、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、科研人员与从业者等多类信息。该图谱整合了来自OpenML、Kaggle及Papers with Code的多源数据。最新更新时间：2025年12月11日 可查阅该知识图谱构建相关的论文、本体及代码：https://dtai-kg.github.io/MLSea-KGC/