Update README.md
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README.md
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@@ -16,6 +16,7 @@ This dataset comprises both positive and negative samples of audio of 1 second i
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Negative samples include music, voice, claps, whistles and vacuum cleaner noise, among other sound you may record inside a house.
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Caveats:
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- Positive samples may include human generated barks.
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- Some (few) positive samples are false positives.
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@@ -33,14 +34,14 @@ dataset = load_dataset("rmarcosg/bark-detection", split="train")
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```
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{
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'file_id': '
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'audio': {
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'path': 'no/20221203_185908.wav',
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'array': array([ 6.10351562e-05, -3.05175781e-05, -3.05175781e-05, ...,
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6.10351562e-05, -1.22070312e-04, 1.83105469e-04]),
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'sampling_rate': 44100
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},
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'label':
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}
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```
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Negative samples include music, voice, claps, whistles and vacuum cleaner noise, among other sound you may record inside a house.
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Caveats:
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- This is an imbalanced dataset: ~10k negatives vs ~500 positives.
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- Positive samples may include human generated barks.
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- Some (few) positive samples are false positives.
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```
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{
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'file_id': '20221203_185908.wav',
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'audio': {
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'path': 'train/no/20221203_185908.wav',
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'array': array([ 6.10351562e-05, -3.05175781e-05, -3.05175781e-05, ...,
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6.10351562e-05, -1.22070312e-04, 1.83105469e-04]),
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'sampling_rate': 44100
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},
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'label': 'no'
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}
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```
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