{"url":"/dataset/deap","name":"DEAP","full_name":null,"description_markdown":"The DEAP dataset consists of two parts:\r\n\r\n- The ratings from an online self-assessment where 120 one-minute extracts of music videos were each rated by 14-16 volunteers based on arousal, valence and dominance.\r\n- The participant ratings, physiological recordings and face video of an experiment where 32 volunteers watched a subset of 40 of the above music videos. EEG and physiological signals were recorded and each participant also rated the videos as above. For 22 participants frontal face video was also recorded.","description_withheld":null,"homepage":"https://www.eecs.qmul.ac.uk/mmv/datasets/deap/","introduced_date":"2012-01-01","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"EEG","url":"/datasets/modality/eeg"}],"tasks":[{"name":"Emotion Recognition","url":"/task/emotion-recognition","datasets_with_task":"/datasets/task/emotion-recognition"},{"name":"Emotion Classification","url":"/task/emotion-classification","datasets_with_task":"/datasets/task/emotion-classification"},{"name":"Multimodal Emotion Recognition","url":"/task/multimodal-emotion-recognition","datasets_with_task":"/datasets/task/multimodal-emotion-recognition"},{"name":"EEG Emotion Recognition","url":"/task/eeg-emotion-recognition","datasets_with_task":"/datasets/task/eeg-emotion-recognition"}],"languages":[],"variants":["DEAP"],"data_loaders":[{"repo":"https://github.com/deap/deap","url":"https://github.com/deap/deap","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":11,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/eeg-emotion-recognition-on-deap","task":"EEG Emotion Recognition","dataset_variant":"DEAP","rows":1,"metrics":["Accuracy (10-fold)"],"first_row_in_archive_order":{"model":"GA-MLP","paper":"/paper/eeg-based-emotion-recognition-using-genetic","metrics":{"Accuracy (10-fold)":"Low/High Valence: 91.10%; Low/High Arousal: 91.02%; and four classes of emotions HVLA/HVHA/LVLA/LVHA: 83.52%"},"code_links":[{"title":"shyammarjit/EEG-Emotion-Recognition","url":"https://github.com/shyammarjit/EEG-Emotion-Recognition"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/eeg-based-emotion-recognition-using-genetic","title":"EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer Perceptron","date":"2021-11-04","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}