Description
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 2025Explore the paper, ontology and the code related to constructing the knowledge graph: https://dtai-kg.github.io/MLSea-KGC/
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Metrics Over Time
Publication Details
Subfield
Artificial Intelligence
Field
Computer Science
Domain
Physical Sciences
Confidence Score
37%
Source
Scholar Data Model