{"url":"/dataset/infantmarmosetsvox","name":"InfantMarmosetsVox","full_name":"InfantMarmosetsVox","description_markdown":"InfantMarmosetsVox is a dataset for multi-class call-type and caller identification. It contains audio recordings of different individual marmosets and their call-types. The dataset contains a total of 350 files of precisely labelled 10-minute audio recordings across all caller classes. The audio was recorded from five pairs of infant marmoset twins, each recorded individually in two separate sound-proofed recording rooms at a sampling rate of 44.1 kHz. The start and end time, call-type, and marmoset identity of each vocalization are provided, labeled by an experienced researcher. A PyTorch Dataloader is included in this dataset.","description_withheld":null,"homepage":"https://zenodo.org/records/10130104","introduced_date":"2023-08-21","introduced_date_note":null,"introduced_by":null,"license":{"name":"Creative Commons Attribution 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[{"name":"Audio Classification","url":"/task/audio-classification","datasets_with_task":"/datasets/task/audio-classification"},{"name":"Caller Detection","url":"/task/caller-detection","datasets_with_task":"/datasets/task/caller-detection"},{"name":"Sound Classification","url":"/task/sound-classification","datasets_with_task":"/datasets/task/sound-classification"}],"languages":[],"variants":["InfantMarmosetsVox"],"data_loaders":[{"repo":"https://github.com/idiap/ssl-caller-detection","url":"https://zenodo.org/records/10130104","frameworks":["pytorch"]}],"num_papers_in_archive":3,"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."}