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ZENODO
Dataset . 2023
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Data sources: Datacite
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ZENODO
Dataset . 2023
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DCASE 2023 Task5: Few-shot Bioacoustic Event Detection: Evaluation set

Authors: Nolasco, Ines; Singh, Shubhr; Vidaña-Vila, Ester; Whitehead, Helen; Grout, Emily; Jensen, Frants; Kiskin, Ivan; +8 Authors

DCASE 2023 Task5: Few-shot Bioacoustic Event Detection: Evaluation set

Abstract

General Description The evaluation set for task 5 of DCASE 2023 "Few-shot Bioacoustic Event Detection" consists of 8 subsets of data representing different acoustic sources, in total there are 66 audio files. The first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. This dataset is to be used for evaluation purposes during the task. Folder structure Audiofiles and annotation files are organized across 3 different zip files: Eval_1.zip |___CHE23/ |____*.wav |____*.csv |___CW/ |____*.wav |____*.csv Eval_2.zip |___MGE/ |____*.wav |____*.csv |___MS/ |____*.wav |____*.csv |___QU/ |____*.wav |____*.csv Eval_3.zip |___DC/ |____*.wav |____*.csv |___CT/ |____*.wav |____*.csv |___CHE/ |____*.wav |____*.csv Annotations_only.zip contains the *.csv files organised in the same subfolders. *The subfolders denote different recording sources and there may or may not be overlap between classes of interest from different wav files. *Note that there can be different target classes within the same subfolder Annotation structure Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows: [ Audiofilename, Starttime, Endtime, Q ] Development Set The development set for the same task can be found at: https://doi.org/10.5281/zenodo.6012309. Open Access This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. Contact info Please send any feedback or questions to: Ines Nolasco: i.dealmeidanolasco@qmul.ac.uk or join us on slack: task-fewshot-bio-sed

Keywords

DCASE2023, Few-shot, Sound event detection, Bioacoustics

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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