Tellurio/PubMed-MultiLabel-MeSH
PubMed MultiLabel Text Classification (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… See the full description on the dataset page: https://huggingface.co/datasets/Tellurio/PubMed-MultiLabel-MeSH.
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