{"url":"/dataset/extreme-classification","name":"EXTREME CLASSIFICATION","full_name":"Extreme Multi-label Classification","description_markdown":"The objective in extreme multi-label classification is to learn feature architectures and classifiers that can automatically tag a data point with the most relevant subset of labels from an extremely large label set. This repository provides resources that can be used for evaluating the performance of extreme multi-label algorithms including datasets, code, and metrics.\n\nFor more details please visit the link http://manikvarma.org/downloads/XC/XMLRepository.html","description_withheld":null,"homepage":"http://manikvarma.org/downloads/XC/XMLRepository.html","introduced_date":"2013-05-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY-NC-ND","url":"https://creativecommons.org/licenses/by-nc-nd/4.0/"},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Multi-Label Classification","url":"/task/multi-label-classification","datasets_with_task":"/datasets/task/multi-label-classification"},{"name":"Multi-Label Text Classification","url":"/task/multi-label-text-classification","datasets_with_task":"/datasets/task/multi-label-text-classification"},{"name":"Representation Learning","url":"/task/representation-learning","datasets_with_task":"/datasets/task/representation-learning"},{"name":"Product Recommendation","url":"/task/product-recommendation","datasets_with_task":"/datasets/task/product-recommendation"},{"name":"Multi-Label Learning","url":"/task/multi-label-learning","datasets_with_task":"/datasets/task/multi-label-learning"},{"name":"Extreme Multi-Label Classification","url":"/task/extreme-multi-label-classification","datasets_with_task":"/datasets/task/extreme-multi-label-classification"}],"languages":[],"variants":["EXTREME CLASSIFICATION"],"data_loaders":[{"repo":"https://github.com/kunaldahiya/pyxclib","url":"https://github.com/kunaldahiya/pyxclib","frameworks":["pytorch"]}],"num_papers_in_archive":18,"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."}