{"url":"/dataset/part-of","name":"PART-OF","full_name":null,"description_markdown":"The **PART-OF** dataset is a dataset of relations extracted from a medical ontology. The different entities in the ontology are parts of the human body. The dataset has 16,894 nodes with 19,436 edges between them.\n\nSource: [https://arxiv.org/pdf/1906.05939.pdf](https://arxiv.org/pdf/1906.05939.pdf)","description_withheld":null,"homepage":"https://github.com/SotirisKot/Content-Aware-N2V","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/embedding-biomedical-ontologies-by-jointly","title":"Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors","first_author":"Sotiris Kotitsas","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Graphs","url":"/datasets/modality/graphs"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Link Prediction","url":"/task/link-prediction","datasets_with_task":"/datasets/task/link-prediction"},{"name":"Network Embedding","url":"/task/network-embedding","datasets_with_task":"/datasets/task/network-embedding"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["PART-OF"],"data_loaders":[{"repo":"https://github.com/SotirisKot/Content-Aware-N2V","url":"https://github.com/SotirisKot/Content-Aware-N2V","frameworks":["pytorch"]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}