{"url":"/dataset/iclabel","name":"ICLabel","full_name":null,"description_markdown":"An Independent components (IC) dataset containing spatiotemporal measures for over 200,000 ICs from more than 6,000 EEG recordings.\r\n\r\nSource: [ICLabel: An automated electroencephalographic independent component classifier, dataset, and website](/paper/iclabel-an-automated-electroencephalographic)","description_withheld":null,"homepage":"https://github.com/lucapton/ICLabel-Dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/iclabel-an-automated-electroencephalographic","title":"ICLabel: An automated electroencephalographic independent component classifier, dataset, and website","first_author":"Luca Pion-Tonachini","url":null},"license":null,"modalities":[],"tasks":[{"name":"Electroencephalogram (EEG)","url":"/task/eeg","datasets_with_task":"/datasets/task/eeg"}],"languages":[],"variants":["ICLabel"],"data_loaders":[{"repo":"https://github.com/lucapton/ICLabel-Dataset","url":"https://github.com/lucapton/ICLabel-Dataset","frameworks":[]}],"num_papers_in_archive":12,"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."}