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Part of MONSTER: https://arxiv.org/abs/2502.15122.
WhaleSounds consists of underwater acoustic recordings around Antarctica, manually annotated for seven different types of whale calls [1, 2]. The dataset has been processed to extract the annotated whale calls from the original recordings. The processed dataset contains 105,163 (univariate) time series, each of length 2,500, with eight classes representing the seven types of whale call plus a class for unidentified sounds. This version of the dataset has been split into stratified random cross-validation folds.
[1] Brian S Miller, Kathleen M Stafford, Ilse Van Opzeeland, et al. (2020) Whale Sounds. https://data.aad.gov.au/metadata/AcousticTrends_BlueFinLibrary. CC BY 4.0.
[2] Brian S Miller, Kathleen M Stafford, Ilse Van Opzeeland, Danielle Harris, Flore Samaran, Ana Širović, Susannah Buchan, Ken Findlay, Naysa Balcazar, Sharon Nieukirk, Em- manuelle C Leroy, Meghan Aulich, Fannie W Shabangu, Robert P Dziak, Won Sang Lee, and Jong Kuk Hong. (2021). An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors. Scientific Reports, 11.
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