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README.md
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@@ -78,27 +78,28 @@ We have a complementary code base: https://github.com/DBD-research-group/BirdSet
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| audio | Audio(sampling_rate=32_000, mono=True, decode=True) | audio object from hf |
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| filepath | Value("string") | path where the recording is
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| start_time | Value("float64") | only testdata:start time of a vocalization
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| end_time | Value("float64") | only testdata: end time of a vocalzation
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| low_freq | Value("int64") |
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| high_freq | Value("int64") |
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| ebird_code | ClassLabel(names=class_list) |
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#### Example Metadata Train
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| | format | description |
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|------------------------|-------------------------------------------------------:|-------------------------:|
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| audio | Audio(sampling_rate=32_000, mono=True, decode=True) | audio object from hf |
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| filepath | Value("string") | relative path where the recording is stored |
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| start_time | Value("float64") | only testdata: start time of a vocalization in s |
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| end_time | Value("float64") | only testdata: end time of a vocalzation in s |
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| low_freq | Value("int64") | only testdata: low frequency bound for a vocalization in kHz |
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| high_freq | Value("int64") | only testdata: high frequency bound for a vocalization in kHz |
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| ebird_code | ClassLabel(names=class_list) | assigned species label |
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| ebird_code_secondary | Sequence(datasets.Value("string")) | only traindata: possible secondary species in a recording |
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| ebird_code_multilabel | Sequence(datasets.ClassLabel(names=class_list)) | assigned species label in a multilabel format |
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| call_type | Sequence(datasets.Value("string")) | only traindata: type of bird vocalization |
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| sex | Value("string") | only traindata: sex of bird species |
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| lat | Value("float64") | latitude of vocalization/recording in WGS84 |
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| long | Value("float64") | lontitude of vocalization/recording in WGS84 |
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| length | Value("int64") | length of the file in s |
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| microphone | Value("string") | soundscape or focal recording with the microphone string |
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| license | Value("string") | license of the recording |
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| source | Value("string") | source of the recording |
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| local_time | Value("string") | local time of the recording |
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| detected_events | Sequence(datasets.Sequence(datasets.Value("float64")))| only traindata: detected audio events in a recording with bambird, tuples of start/end time |
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| event_cluster | Sequence(datasets.Value("int64")) | only traindata: detected audio events assigned to a cluster with bambird |
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| peaks | Sequence(datasets.Value("float64")) | only traindata: peak event detected with scipy peak detection |
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| quality | Value("string") | only traindata: recording quality of the recording (A,B,C) |
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| recordist | Value("string") | only traindata: recordist of the recording |
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#### Example Metadata Train
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