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

<strong>General Description</strong> 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. <strong>Folder structure</strong> Audiofiles and annotation files are organized across 3 different zip files: <em>Eval_1.zip</em> |___CHE23/ |____*.wav |____*.csv |___CW/ |____*.wav |____*.csv <em>Eval_2.zip</em> |___MGE/ |____*.wav |____*.csv |___MS/ |____*.wav |____*.csv |___QU/ |____*.wav |____*.csv <em>Eval_3.zip</em> |___DC/ |____*.wav |____*.csv |___CT/ |____*.wav |____*.csv |___CHE/ |____*.wav |____*.csv <em>Annotations_only.zip</em> 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 <strong>Annotation structure</strong> Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows:<br> [ Audiofilename, Starttime, Endtime, Q ] <strong>Development Set</strong> The development set for the same task can be found at: https://doi.org/10.5281/zenodo.6012309. <strong>Open Access</strong> This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.<br> <strong>Contact info</strong> Please send any feedback or questions to:<br> Ines Nolasco: [e-mail] or join us on slack: task-fewshot-bio-sed