{"url":"/dataset/maad","name":"MAAD","full_name":null,"description_markdown":"The **Model for Attended Awareness in Driving** (**MAAD**) is a dataset of third-person estimates of a driver’s attended awareness. It consists of videos of a scene, as seen by a person performing a task in the scene, along with noisily registered ego-centric gaze sequences from that person.","description_withheld":null,"homepage":"https://github.com/ToyotaResearchInstitute/att-aware","introduced_date":"2021-10-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/maad-a-model-and-dataset-for-attended","title":"MAAD: A Model and Dataset for \"Attended Awareness\" in Driving","first_author":"Deepak Gopinath","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Driver Attention Monitoring","url":"/task/driver-attention-monitoring","datasets_with_task":"/datasets/task/driver-attention-monitoring"}],"languages":[],"variants":["MAAD"],"data_loaders":[],"num_papers_in_archive":2,"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."}