{"url":"/dataset/ddpm","name":"DDPM","full_name":"Deception Detection and Physiological Monitoring","description_markdown":"The Deception Detection and Physiological Monitoring (**DDPM**) dataset captures an interview scenario in which the interviewee attempts to deceive the interviewer on selected responses. The interviewee is recorded in RGB, near-infrared, and long-wave infrared, along with cardiac pulse, blood oxygenation, and audio. After collection, data were annotated for interviewer/interviewee, curated, ground-truthed, and organized into train/test parts for a set of canonical deception detection experiments. The dataset contains almost 13 hours of recordings of 70 subjects, and over 8 million visible-light, near-infrared, and thermal video frames, along with appropriate meta, audio, and pulse oximeter data.","description_withheld":null,"homepage":"https://cvrl.nd.edu/projects/data/#deception-detection-and-physiological-monitoringddpm","introduced_date":"2021-06-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/deception-detection-and-remote-physiological","title":"Deception Detection and Remote Physiological Monitoring: A Dataset and Baseline Experimental Results","first_author":"Jeremy Speth","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DDPM"],"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."}