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Datasets:
DBD-research-group
/
BirdSet

Tasks:
Audio Classification
ArXiv:
Tags:
audio classification
multi-label classification
bird sounds
passive acoustic monitoring
DOI:
License:
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+ ---
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+ task_categories:
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+ - audio-classification
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+ ---
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+
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+
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+ ### Datasets
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+
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+ #### Train
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+ - Exclusively using focal audio data from Xeno-Canto (XC) with quality ratings A, B, C and excluding all recordings that are CC-ND.
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+ - Each dataset is tailored for specific target species identified in soundscape files.
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+ - We offer detected events and corresponding cluster assignments to identify bird sounds in each recording.
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+ - We provide the full recordings from XC! These can generate multiple samples from a single instance.
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+
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+ #### Test
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+ - Only soundscape data sourced from Zenodo.
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+ - We provide the full recording with the complete label set and specified bounding boxes.
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+ - This dataset excludes recordings that do not contain bird calls ("no_call").
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+ - Task: Multiclass ("ebird_code")
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+
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+ #### Test_5s
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+ - Only soundscape data from Zenodo formatted acoording to the Kaggle evaluation scheme.
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+ - Each recording is segmented into 5-second intervals without overlaps.
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+ - This contains the "no_call" class.
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+ - Task: Multilabel ("ebird_code_multilabel")
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+
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+ ### Subsets
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+
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+ Numbers need to be updated
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+
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+ | | train | test | test_5s | size (GB) | #classes |
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+ |----------------------------|--------:|-----------:|--------:|-----------:|-------------:|
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+ | PER (amazon_basin) | 21,834 | 14,798 | 15,120 | 13 | 132 |
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+ | NES (columbia_costa_rica) | 4,650 | 6,952 | 24,480 | 17 | 89 |
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+ | UHH (hawaiian_islands) | 4,611 | 59,583 | 36,637 | 6.3 | 25 tr, 27 te |
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+ | HSN (high_sierras) | 6,526 | 10,296 | 12,000 | 6.9 | 21 |
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+ | NBP (nips) | 100,174| 5,493 | 563 | 162 | 51 tr, 52 te|
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+ | POW (powdermill_nature) | 17,059 | 16,052 | 4560| 18 | 48 |
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+ | SSW (sapsucker_woods) | 32,902 | 50,760 | 205,200| 40 | 81 |
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+ | SNE (sierra_nevada) | 23,164 | 20,147 | 23,756| 25 | 56 |
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+ | XCL (xenocanto) | 686,593| x | | 648 | 10,124 |
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+ | XCM | 80,012 | x | | | 410 |
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+
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+ #### FEATURES
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+
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+ ```python
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+ {
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+ "audio": datasets.Audio(sampling_rate=32_000, mono=True, decode=True),
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+ "filepath": datasets.Value("string"),
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+ "start_time": datasets.Value("float64"),
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+ "end_time": datasets.Value("float64"),
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+ "low_freq": datasets.Value("int64"),
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+ "high_freq": datasets.Value("int64"),
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+ "ebird_code": datasets.ClassLabel(names=class_list),
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+ "ebird_code_multilabel": datasets.Sequence(datasets.ClassLabel(names=["no_call"] + class_list)),
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+ "ebird_code_secondary": datasets.Sequence(datasets.Value("string")),
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+ "call_type": datasets.Value("string"),
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+ "sex": datasets.Value("string"),
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+ "lat": datasets.Value("float64"),
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+ "long": datasets.Value("float64"),
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+ "length": datasets.Value("int64"),
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+ "microphone": datasets.Value("string"),
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+ "license": datasets.Value("string"),
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+ "source": datasets.Value("string"),
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+ "local_time": datasets.Value("string"),
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+ "detected_events": datasets.Sequence(datasets.Sequence(datasets.Value("float64"))),
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+ "event_cluster": datasets.Sequence(datasets.Value("int64")),
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+ "quality": datasets.Value("string"),
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+ "recordist": datasets.Value("string")
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+ })
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+ ```
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+ ```python
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+ EXAMPLE TRAIN
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+ {'audio': {'path': '.ogg',
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+ 'array': array([ 6.24680333e-02, 7.57145062e-02, 4.91199419e-02, ...,
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+ -2.04162002e-02, 8.73558223e-03, -6.23320229e-05]),
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+ 'sampling_rate': 32000},
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+ 'filepath': '.ogg',
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+ 'start_time': None,
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+ 'end_time': None,
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+ 'low_freq': None,
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+ 'high_freq': None,
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+ 'ebird_code': 1,
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+ 'ebird_code_multiclass': None,
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+ 'call_type': 'call',
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+ 'sex': None,
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+ 'lat': 22.2029,
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+ 'long': -159.473,
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+ 'microphone': 'focal',
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+ 'license': '//creativecommons.org/licenses/by-nc-sa/4.0/',
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+ 'source': 'xenocanto',
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+ 'local_time': '12:49',
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+ 'detected_events': [[0.832, 2.48],
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+ [2.992, 4.016],
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+ [3.2, 3.904],
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+ [5.472, 6.048],
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+ [5.488, 6.432],
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+ [7.088, 8.16],
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+ [8.944, 10.432],
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+ [10.72, 12.672],
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+ [11.152, 13.2],
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+ [13.488, 14.0],
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+ [14.64, 16.496]],
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+ 'event_cluster': [1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1],
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+ 'quality': 'A'}
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+
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+ EXAMPLE TEST_5S
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+ {'audio': {'path': '.ogg',
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+ 'array': array([-5.03219722e-04, 9.99580720e-04, 2.58744985e-05, ...,
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+ -4.06746846e-03, -3.79991997e-03, 2.88472045e-04]),
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+ 'sampling_rate': 32000},
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+ 'filepath': '.ogg',
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+ 'start_time': 0.0,
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+ 'end_time': 5.0,
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+ 'low_freq': 2678,
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+ 'high_freq': 6053,
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+ 'ebird_code': None,
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+ 'ebird_code_multiclass': [0],
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+ 'call_type': None,
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+ 'sex': None,
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+ 'lat': 19.801668,
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+ 'long': -155.609444,
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+ 'microphone': 'Soundscape',
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+ 'license': 'Creative Commons Attribution 4.0 International Public License',
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+ 'source': 'https://zenodo.org/record/7078499',
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+ 'local_time': '15:00:06',
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+ 'detected_events': None,
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+ 'event_cluster': None,
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+ 'quality': None}
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+
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+ EXAMPLE TEST
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+ {'audio': {'path': '.ogg',
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+ 'array': array([-5.03219722e-04, 9.99580720e-04, 2.58744985e-05, ...,
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+ -4.06746846e-03, -3.79991997e-03, 2.88472045e-04]),
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+ 'sampling_rate': 32000},
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+ 'filepath': '.ogg',
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+ 'start_time': 6.8,
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+ 'end_time': 8.2,
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+ 'low_freq': 2678,
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+ 'high_freq': 6053,
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+ 'ebird_code': 22,
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+ 'ebird_code_multiclass': None,
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+ 'call_type': None,
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+ 'sex': None,
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+ 'lat': 19.801668,
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+ 'long': -155.609444,
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+ 'microphone': 'Soundscape',
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+ 'license': 'Creative Commons Attribution 4.0 International Public License',
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+ 'source': 'https://zenodo.org/record/7078499',
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+ 'local_time': '15:00:06',
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+ 'detected_events': None,
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+ 'event_cluster': None,
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+ 'quality': None}
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+ ```
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+