{"url":"/dataset/eegeyenet","name":"EEGEyeNet","full_name":null,"description_markdown":"**EEEyeNet** is a dataset and benchmark with the goal of advancing research in the intersection of brain activities and eye movements. It consists of simultaneous Electroencephalography (EEG) and Eye-tracking (ET) recordings from 356 different subjects collected from three different experimental paradigms.","description_withheld":null,"homepage":"https://github.com/ardkastrati/eegeyenet","introduced_date":"2021-11-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/eegeyenet-a-simultaneous","title":"EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction","first_author":"Ard Kastrati","url":null},"license":null,"modalities":[{"name":"EEG","url":"/datasets/modality/eeg"}],"tasks":[],"languages":[],"variants":["EEGEyeNet"],"data_loaders":[],"num_papers_in_archive":10,"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."}