{"url":"/dataset/vggsound-sparse","name":"VGGSound-Sparse","full_name":null,"description_markdown":"The dataset uses VGG-Sound which consists of 10s clips collected from YouTube for 309 sound classes. A subset of ‘temporally sparse’ classes is selected using the following procedure: 5–15 videos are randomly picked from each of the 309 VGGSound classes, and manually annotated as to whether audio-visual cues are only sparsely available. As a result, 12 classes are selected (∼4 %) or 6.5k and 0.6k videos in the train and test sets, respectively. The classes include 'dog barking', 'chopping wood', 'lion roaring', 'skateboarding' etc.","description_withheld":null,"homepage":"https://v-iashin.github.io/SparseSync","introduced_date":"2022-10-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/sparse-in-space-and-time-audio-visual","title":"Sparse in Space and Time: Audio-visual Synchronisation with Trainable Selectors","first_author":"Vladimir Iashin","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Audio","url":"/datasets/modality/audio"},{"name":"Actions","url":"/datasets/modality/actions"}],"tasks":[{"name":"Audio Classification","url":"/task/audio-classification","datasets_with_task":"/datasets/task/audio-classification"},{"name":"Audio-Visual Synchronization","url":"/task/audio-visual-synchronization","datasets_with_task":"/datasets/task/audio-visual-synchronization"},{"name":"Video Synchronization","url":"/task/video-synchronization","datasets_with_task":"/datasets/task/video-synchronization"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["VGGSound-Sparse"],"data_loaders":[{"repo":"https://github.com/v-iashin/sparsesync","url":"https://github.com/v-iashin/sparsesync","frameworks":["pytorch"]}],"num_papers_in_archive":5,"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."}