ReadMe2KG - GitHub ReadMe to Knowledge Graph

NFDI4DS partners organize Shared Tasks at NSLP2025 co-located with ESWC2025.

GitHub is a popular platform for hosting and collaborating on software projects. In the context of research, authors can use GitHub repositories to share the datasets, models, and source code of experiments in the paper. These repositories can provide implementation details and facilitate the exploration and reproduction of research results. Each GitHub repository typically includes a README.md file, which serves as an introductory document for the project. READMEs are usually written in Markdown format and provide key information such as the project’s purpose, setup instructions, usage examples, and often links to the original research paper. Aiming to enhance the NDFI4DS KnowledgeGraph with information from GitHub README files, a fine-grained Named Entity Recognition task is proposed.

Participants will develop classifiers that take README files as input and output the mentions of the 10 entity types in the NFDI4DS Ontology: “Conference”, “Dataset”, “Evaluation Metric”, “License”, “Ontology”, “Programming Language”, “Project”, “Publication”, “Software” and ”Workshop”. A dataset with approximately 160 README.md files will be made available to train the classifiers.

Find detailed information on the workshop page: https://nfdi4ds.github.io/nslp2025/docs/readme2kg_shared_task.html