DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Evaluation Set
Creators
- 1. Queen Mary university of London
- 2. University of Konstanz & Max Planck Institute of Animal Behavior
- 3. Biotopia, Naturkundemuseum Bayern
- 4. AGH University of Science and Technology,
- 5. University of Oxford
- 6. Queen Mary University of London
- 7. Syracuse University
- 8. University of Salford
- 9. University of Surrey
- 10. La Salle, Universitat Ramon Llull
- 11. Centre National de la Recherche Scientifique (CNRS)
- 12. Tilburg University & Naturalis Biodiversity Centre
Description
General Description
The evaluation set for task 5 of DCASE 2022 "Few-shot Bioacoustic Event Detection" consists of 46 audio files acquired from different bioacoustic sources.
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
Evaluation_Set.zip
|___DC/
|____*.wav
|____*.csv
|___CT/
|____*.wav
|____*.csv
|___CHE/
|____*.wav
|____*.csv
|___MGE/
|____*.wav
|____*.csv
|___MS/
|____*.wav
|____*.csv
|___QU/
|____*.wav
|____*.csv
Evaluation_Set_5shots.zip has the same structure but contains only the *.wav files.
Evaluation_Set_5shots_annotations_only.zip has the same structure but contains only the *.csv files
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 ]
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