Tellurio/

PubMed-MultiLabel-MeSH

A dataset of 50,000 PubMed biomedical articles, each manually annotated by domain experts with MeSH (Medical Subject Headings) labels. With 21,918 unique labels and a mean of ~12.7 labels per document, this is a densely-labeled extreme multi-label classification benchmark.

	Dataset Description




	

Property Value

Train examples 40,000

Test examples 10,000

Total unique MeSH labels 21,918

Mean labels per document ~12.7… See the full description on the dataset page: https://huggingface.co/datasets/Tellurio/PubMed-MultiLabel-MeSH.