DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Development Set v3
Ines Nolasco and Shubhr Singh and Ariana Strandburg-Peshkin and Lisa Gill and Hanna Pamula and Joe Morford and Michael Emmerson and Frants Jensen and Helen Whitehead and Ivan Kiskin and Ester Vidana-Vila and Vincent Lostanlen and Veronica Morfi and Dan Stowell

fewshot_DCASE2022_task5_DevelopmentSet_v3 (579 files)
DCASE2022_task5_Training_set_classes.csv 1.49kB
DCASE2022_task5_Validation_set_classes.csv 0.80kB
Development_Set/Training_Set/BV/2015-09-04_08-04-59_unit03.csv 335.15kB
Development_Set/Training_Set/BV/2015-09-04_08-04-59_unit03.wav 345.60MB
Development_Set/Training_Set/BV/2015-09-11_06-00-00_unit07.csv 74.82kB
Development_Set/Training_Set/BV/2015-09-11_06-00-00_unit07.wav 345.60MB
Development_Set/Training_Set/BV/2015-09-21_06-00-00_unit05.csv 118.66kB
Development_Set/Training_Set/BV/2015-09-21_06-00-00_unit05.wav 345.60MB
Development_Set/Training_Set/BV/2015-09-25_04-00-00_unit10.csv 103.72kB
Development_Set/Training_Set/BV/2015-09-25_04-00-00_unit10.wav 345.60MB
Development_Set/Training_Set/BV/2015-10-14_23-59-59_unit05.csv 63.02kB
Development_Set/Training_Set/BV/2015-10-14_23-59-59_unit05.wav 345.60MB
Development_Set/Training_Set/HT/a1.csv 4.87kB
Development_Set/Training_Set/HT/a1.wav 43.20MB
Development_Set/Training_Set/HT/e1.csv 2.83kB
Development_Set/Training_Set/HT/e1.wav 43.20MB
Development_Set/Training_Set/HT/h1.csv 13.84kB
Development_Set/Training_Set/HT/h1.wav 43.20MB
Development_Set/Training_Set/HT/n1.csv 1.81kB
Development_Set/Training_Set/HT/n1.wav 43.20MB
Development_Set/Training_Set/HT/y1.csv 3.50kB
Development_Set/Training_Set/HT/y1.wav 43.20MB
Development_Set/Training_Set/JD/sp4f1_2015_04_24-05_00_00_0002.csv 21.25kB
Development_Set/Training_Set/JD/sp4f1_2015_04_24-05_00_00_0002.wav 26.47MB
Development_Set/Training_Set/MT/dcase_MK1.csv 19.13kB
Development_Set/Training_Set/MT/dcase_MK1.wav 30.74MB
Development_Set/Training_Set/MT/dcase_MK2.csv 42.83kB
Development_Set/Training_Set/MT/dcase_MK2.wav 41.84MB
Development_Set/Training_Set/WMW/XC100296.csv 2.29kB
Development_Set/Training_Set/WMW/XC100296.wav 6.08MB
Development_Set/Training_Set/WMW/XC100619.csv 2.13kB
Development_Set/Training_Set/WMW/XC100619.wav 3.24MB
Development_Set/Training_Set/WMW/XC100622.csv 2.80kB
Development_Set/Training_Set/WMW/XC100622.wav 15.09MB
Development_Set/Training_Set/WMW/XC100954.csv 1.84kB
Development_Set/Training_Set/WMW/XC100954.wav 4.96MB
Development_Set/Training_Set/WMW/XC103243.csv 8.92kB
Development_Set/Training_Set/WMW/XC103243.wav 17.28MB
Development_Set/Training_Set/WMW/XC106971.csv 3.14kB
Development_Set/Training_Set/WMW/XC106971.wav 3.41MB
Development_Set/Training_Set/WMW/XC109629.csv 5.13kB
Development_Set/Training_Set/WMW/XC109629.wav 29.76MB
Development_Set/Training_Set/WMW/XC120411.csv 2.38kB
Development_Set/Training_Set/WMW/XC120411.wav 11.47MB
Development_Set/Training_Set/WMW/XC120730.csv 7.09kB
Development_Set/Training_Set/WMW/XC120730.wav 15.90MB
Development_Set/Training_Set/WMW/XC129156.csv 6.55kB
Development_Set/Training_Set/WMW/XC129156.wav 9.37MB
Development_Set/Training_Set/WMW/XC131532.csv 2.69kB
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Type: Dataset
Tags: bird, few-shot, acoustics, animal, DCASE, event detection, mammal, bioacoustics

Bibtex:
@article{,
title= {DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Development Set v3},
journal= {},
author= {Ines Nolasco and Shubhr Singh and Ariana Strandburg-Peshkin and Lisa Gill and Hanna Pamula and Joe Morford and Michael Emmerson and Frants Jensen and Helen Whitehead and Ivan Kiskin and Ester Vidana-Vila and Vincent Lostanlen and Veronica Morfi and Dan Stowell},
year= {},
url= {https://dcase.community/challenge2022/task-few-shot-bioacoustic-event-detection},
abstract= {The development set for task 5 of DCASE 2022 Few-shot Bioacoustic Event Detection consists of 192 audio files acquired from different bioacoustic sources. The dataset is split into training and validation sets. Multi-class annotations are provided for the training set with positive (POS), negative (NEG) and unknown (UNK) values for each class. UNK indicates uncertainty about a class. Single-class (class of interest) annotations are provided for the validation set, with events marked as positive (POS) or unkwown (UNK) provided for the class of interest.

Also available at 
https://zenodo.org/record/6482837},
keywords= {bird, few-shot, bioacoustics, acoustics, animal, DCASE, event detection, mammal},
terms= {},
license= {http://creativecommons.org/licenses/by/4.0/},
superseded= {}
}

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