Dataset · Hugging Face

Tellurio/PubMed-MultiLabel-MeSH

Name: PubMed-MultiLabel-MeSH
Creator: Tellurio
License: cc0-1.0
Keywords: task_categories:text-classification, task_ids:multi-label-classification, language:en, license:cc0-1.0, size_categories:10K<n<100K, format:parquet, format:optimized-parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, extreme-multi-label, pubmed

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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Author / organization	Tellurio
License (as declared)	cc0-1.0
Downloads	188 (as reported by Hugging Face)
Likes	0
Created	29 March 2026
Last updated at source	29 March 2026

extreme-multi-labelpubmedmeshbiomedicalnlp

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