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

Name: DCASE 2021 Task 5: Few-shot Bioacoustic Event Detection Development Set
Creator: Nolasco, Ines; Pamula, Hanna; Sridhar, Sripathi; Farnsworth, Andrew; Gill, Lisa; Stowell, Dan; Lostanlen, Vincent; Duteil, Mathieu; Strandburg-Peshkin, Ariana; Benvent, David; Singh, Shubhr; Morfi, Veronica
Published: 2021-09-03 00:00:00
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Zenodo2021-09-03 更新2026-04-07 收录

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General Description The development set for task 5 of DCASE 2021 "Few-shot Bioacoustic Event Detection" consists of 19 audio files acquired from different bioacoustic sources. The dataset is split into training and validation Sets. Multi-class annotations are provided for the training set with positive (POS), negative (NEG) and unkwown (UNK) values for each class. UNK indicates uncertainty about a class. Single-class (class of interest) annotations are provided for the validation set, with events marked as positive (POS) or unkwown (UNK) provided for the class of interest. Folder Structure Development_Set.zip |_Development_Set/ |__Training_Set/ |___BV/ |____*.wav |____*.csv |___HT/ |____*.wav |____*.csv |___JD/ |____*.wav |____*.csv |___MT/ |____*.wav |____*.csv |__Validation_Set/ |___HV/ |____*.wav |____*.csv |___PB/ |____*.wav |____*.csv Development_Set_Audio.zip has the same structure but contains only the *.wav files. Development_Set_Annotations.zip has the same structure but contains only the *.csv files Dataset statistics Some statistics on this dataset are as follows, split between training and validation set and their sub-folders: ----------------------------------------------------- TRAINING SET ----------------------------------------------------- Number of audio recordings | 11 Total duration | 14 hours and 20 mins Total classes (excl. UNK) | 19 Total events (excl. UNK) | 4,686 ----------------------------------------------------- TRAINING SET/BV ----------------------------------------------------- Number of audio recordings | 5 Total duration | 10 hours Total classes (excl. UNK) | 11 Total events (excl. UNK) | 2,662 Sampling rate | 24,000 Hz ----------------------------------------------------- TRAINING SET/HT ----------------------------------------------------- Number of audio recordings | 3 Total duration | 3 hours Total classes (excl. UNK) | 3 Total events (excl. UNK) | 435 Sampling rate | 6,000 Hz ----------------------------------------------------- TRAINING SET/JD ----------------------------------------------------- Number of audio recordings | 1 Total duration | 10 mins Total classes (excl. UNK) | 1 Total events (excl. UNK) | 355 Sampling rate | 22,050 Hz ----------------------------------------------------- TRAINING SET/MT ----------------------------------------------------- Number of audio recordings | 2 Total duration | 1 hour and 10 mins Total classes (excl. UNK) | 4 Total events (excl. UNK) | 1,234 Sampling rate | 8,000 Hz ----------------------------------------------------- ----------------------------------------------------- VALIDATION SET ----------------------------------------------------- Number of audio recordings | 8 Total duration | 5 hours Total classes (excl. UNK) | 4 Total events (excl. UNK) | 310 ----------------------------------------------------- VALIDATION SET/HV ----------------------------------------------------- Number of audio recordings | 2 Total duration | 2 hours Total classes (excl. UNK) | 2 Total events (excl. UNK) | 50 Sampling rate | 6,000 Hz ----------------------------------------------------- VALIDATION SET/PB ----------------------------------------------------- Number of audio recordings | 6 Total duration | 3 hours Total classes (excl. UNK) | 2 Total events (excl. UNK) | 260 Sampling rate | 44,100 Hz ----------------------------------------------------- Annotation structure Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows: TRAINING SET --------------------- Audiofilename, Starttime, Endtime, CLASS_1, CLASS_2, ...CLASS_N VALIDATION SET --------------------- Audiofilename, Starttime, Endtime, Q Classes DCASE2021_task5_training_set_classes.csv and DCASE2021_task5_validation_set_classes.csv provide a table with class code correspondace to class name for all classes in the Development set. DCASE2021_task5_training_set_classes.csv --------------------- dataset, class_code, class_name DCASE2021_task5_validation_set_classes.csv --------------------- dataset, recording, class_code, class_name Evaluation Set The Evaluation set for the same task can be found at: https://doi.org/10.5281/zenodo.5413149 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

提供机构：

Nolasco, Ines; Pamula, Hanna; Sridhar, Sripathi; Farnsworth, Andrew; Gill, Lisa; Stowell, Dan; Lostanlen, Vincent; Duteil, Mathieu; Strandburg-Peshkin, Ariana; Benvent, David; Singh, Shubhr; Morfi, Veronica

创建时间：

2021-09-03