{"url":"/dataset/eve","name":"EVE","full_name":"End-to-end Video-based Eye-tracking","description_markdown":"EVE (End-to-end Video-based Eye-tracking) is a dataset for eye-tracking. It is collected from 54 participants and consists of 4 camera views, over 12 million frames and 1327 unique visual stimuli (images, video, text), adding up to approximately 105 hours of video data in total.\r\n\r\nOfficial competition on Codalab: [https://competitions.codalab.org/competitions/28954](https://competitions.codalab.org/competitions/28954)","description_withheld":null,"homepage":"https://ait.ethz.ch/projects/2020/EVE/","introduced_date":"2020-07-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-end-to-end-video-based-eye-tracking","title":"Towards End-to-end Video-based Eye-Tracking","first_author":"Seonwook Park","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["EVE"],"data_loaders":[],"num_papers_in_archive":13,"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."}