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@@ -3,7 +3,9 @@ task_categories:
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  - audio-classification
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  license: cc-by-nc-4.0
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  tags:
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- - bird classification
 
 
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  - passive acoustic monitoring
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  ---
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  # Dataset Description
@@ -21,8 +23,8 @@ benchmark dataset for audio classification focusing on avian bioacoustics. BirdS
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  10,000 classes (18x) for training and more than 400 hours (7x) across eight strongly labeled evaluation datasets. It serves as a versatile resource for use cases
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  such as multi-label classification, covariate shift or self-supervised learning.
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- - **Complementary Code**:[https://github.com/DBD-research-group/GADME](https://github.com/DBD-research-group/BirdSet)
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- - **Complementary Paper**: [https://arxiv.org/abs/2403.10380](https://arxiv.org/abs/2403.10380)
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  ## Datasets
 
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  - audio-classification
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  license: cc-by-nc-4.0
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  tags:
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+ - audio classification
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+ - multi-label classification
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+ - bird sounds
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  - passive acoustic monitoring
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  ---
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  # Dataset Description
 
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  10,000 classes (18x) for training and more than 400 hours (7x) across eight strongly labeled evaluation datasets. It serves as a versatile resource for use cases
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  such as multi-label classification, covariate shift or self-supervised learning.
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+ - **Complementary Code**: [Repository](https://github.com/DBD-research-group/BirdSet)
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+ - **Complementary Paper**: [ArXiv Link](https://arxiv.org/abs/2403.10380)
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  ## Datasets