datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
BirdSet Deep learning (DL) has greatly advanced audio classification,
yet the field is limited by the scarcity of large-scale benchmark datasets that have propelled progress in other domains.
While AudioSet is a pivotal step to bridge this gap as a universal-domain dataset, its restricted accessibility and
limited range of evaluation use cases challenge its role as the sole resource. Therefore, we introduce BirdSet,
a large-scale benchmark dataset for audio classification focusing on avian bioacoustics.
BirdSet surpasses AudioSet with over 6,800 recording hours (+17%) from nearly 10,000 classes (x18) for training and more
than 400 hours (x7) across eight strongly labeled evaluation datasets. It serves as a versatile resource for use
cases such as multi-label classification, covariate shift or self-supervised learning. We benchmark six well-known
DL models in multi-label classification across three distinct training scenarios and outline further evaluation use
cases in audio classification. We host our dataset on Hugging Face for easy accessibility and offer an extensive
codebase to reproduce our results.BirdSet
BirdSet (Mirror)
This dataset repository is a convenience mirror of BirdSet.
Attribution
Please credit the original BirdSet authors and resources:
Original dataset card: https://huggingface.co/datasets/DBD-research-group/BirdSet
Original project repository: https://github.com/DBD-research-group/BirdSet
Paper: https://arxiv.org/abs/2403.10380
Citation
If you use this dataset, please cite the original BirdSet paper:… See the full description on the dataset page: https://huggingface.co/datasets/samuelstevens/BirdSet.BirdSetPolyphonic-BirdSet
Polyphonic Bird Call Dataset
This dataset is an earlier version of PolyBirdMix, that is still here as a resource to reproduce earlier experiments. If you want to use PolyBirdMix, please use the current version->
Dataset Summary
The Polyphonic Bird Call Dataset is a corpus of synthetic soundscape mixtures generated from individual bird call recordings sourced from BirdSet. Individual recordings are randomly mixed to produce a large collection of polyphonic… See the full description on the dataset page: https://huggingface.co/datasets/mcht67/Polyphonic-BirdSet.Polyphonic-BirdSet-train
Polyphonic Bird Call Dataset
This dataset is an earlier version of PolyBirdMix, that is still here as a resource to reproduce earlier experiments. If you want to use PolyBirdMix, please use the current version
Dataset Summary
The Polyphonic Bird Call Dataset is a corpus of synthetic soundscape mixtures generated from individual bird call recordings sourced from BirdSet. Individual recordings are randomly mixed to produce a large collection of polyphonic… See the full description on the dataset page: https://huggingface.co/datasets/mcht67/Polyphonic-BirdSet-train.BirdSet_guangdong
Guangdong BirdSet Audio Package / 广东鸟类 BirdSet 音频包
生成时间：2026-06-04T22:24:09.511294+08:00
这个目录把“广东鸟类名单”和服务器 BirdSet/webird 中能匹配到的音频整理到一起。广东原始名单来自之前爬取的区域鸟类清单：
来源：https://avibase.bsc-eoc.org/checklist.jsp?region=CNgd&list=ebird&lang=EN
说明：Avibase regional checklist rendered with list=ebird; speciesCode values mapped with the eBird taxonomy endpoint.
广东来源物种数：692
BirdSet 中可用物种数：422
来源名单里但 BirdSet 没有的物种数：270
目录结构
audio_originals/：训练集使用的原始 OGG 录音，按 BirdSet 子集分目录，例如… See the full description on the dataset page: https://huggingface.co/datasets/GargantuaZZZ/BirdSet_guangdong.birdset-hsn-artifacts