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Part of MONSTER: https://arxiv.org/abs/2502.15122.
FruitFlies, taken from the broader UCR archive, consistst of 34,518 (univariate) time series, each of length 5,000, representing acoustic recordings of wingbeats for three species of fruit fly [1, 2]. The task is to identify the species of fly based on the recordings. This version of the dataset has been split into stratified random cross-validation folds.
[1] Ilyas Potamitis. (2016). FruitFlies dataset. https://timeseriesclassification.com/description.php?Dataset=FruitFlies. With Permission of Prof Tony Bagnall.
[2] Michael Flynn. (2022). Classifying Dangerous Species of Mosquito Using Machine Learning. PhD thesis, University of East Anglia, 2022.
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