DCASE 2023 Task5: Few-shot Bioacoustic Event Detection: Evaluation set
Authors/Creators
- 1. Queen Mary university of London
- 2. La Salle, Universitat Ramon Llull
- 3. University of Salford
- 4. University of Konstanz & Max Planck Institute of Animal Behavior
- 5. Syracuse University
- 6. University of Surrey
- 7. University of Oxford
- 8. AGH University of Science and Technology,
- 9. Biotopia, Naturkundemuseum Bayern
- 10. Tilburg University
- 11. Queen Mary University of London
- 12. Centre National de la Recherche Scientifique (CNRS)
- 13. Tilburg University & Naturalis Biodiversity Centre
Description
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