{"url":"/dataset/raw-gaze-data","name":"raw gaze data","full_name":null,"description_markdown":"Data was collected from Tobii Fusion screen-based Eye Tracker. This study collected drivers’ gaze data by letting participants watch dashcam captured videos of driving scenes in the lab setting. Original vidoes are downloaded from [https://github.com/Cogito2012/CarCrashDataset](https://github.com/Cogito2012/CarCrashDataset). Each video lasts 5 seconds and the frequency of the videos is 10 Hz.\r\n\r\nFull data and description can be found: [https://github.com/yuli1102/eye_tracker_data](https://github.com/yuli1102/eye_tracker_data)","description_withheld":null,"homepage":"https://github.com/yuli1102/eye_tracker_data","introduced_date":"2021-08-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/who-is-better-at-anticipating-traffic-crashes","title":"A Gaze Data-based Comparative Study to Build a Trustworthy Human-AI Collaboration in Crash Anticipation","first_author":null,"url":null},"license":{"name":"Unknown","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["raw gaze data"],"data_loaders":[{"repo":"https://github.com/yuli1102/eye_tracker_data","url":"https://github.com/yuli1102/eye_tracker_data","frameworks":[]}],"num_papers_in_archive":1,"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."}