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DCASE 2021 Task 5: Few-shot Bioacoustic Event Detection Evaluation Set

General Description The evaluation set for task 5 of DCASE 2021 "Few-shot Bioacoustic Event Detection" consists of 31 audio files acquired from different bioacoustic sources.  In Evaluation_Set_Annotations: the first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. This is the same setup used during the DCASE 2021 challenge. In Evaluation_Set_Full_Annotations: the full annotations are provided for each file, with events marked as positive (POS) or unknown (UNK) for the class of interest.   Folder Structure Evaluation_Set.zip contains audio files and annotation files with 5 first POS events (as used during DCASE 2021 challenge) |__Evaluation_Set/     |___DC/         |____*.wav         |____*.csv     |___ME/         |____*.wav         |____*.csv     |___ML/         |____*.wav         |____*.csv Evaluation_Set_Audio.zip has the same structure but contains only the *.wav files. Evaluation_Set_Annotations.zip has the same structure but contains only the *.csv files with first 5 POS annotations. Evaluation_Set_Full_Annotations.zip has the same structure but contains only the *.csv files with all POS annotations. The subfolders denote different recording sources and there may or may not be overlap between classes of interest from different wav files.   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 ]   Classes DCASE2021_task5_evaluation_set.csv provides a table with class code correspondance to class name for all the recordings of the Evaluation set. DCASE2021_task5_evaluation_set.csv ------------------- dataset, recording, class_code, class_name   Development Set The development set for the same task can be found at: <a href="https://doi.org/10.5281/zenodo.5412896">https://doi.org/10.5281/zenodo.5412896</a>   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: Veronica Morfi: g.v.morfi@qmul.ac.uk

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship: 8
Harmonization: 4
Access: 20
Reuse readiness: 8
Engagement: 4

Topics

bioacoustics few-shot learning dcase2021 audio event detection