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@@ -70,7 +70,7 @@ We offer a static set of evaluation datasets and a varied collection of training
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  - For multi-label evaluation with a segment-based evaluation use the test_5s column for testing.
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  - You could only load the first 5 seconds or a given event per recording to quickly create a training dataset.
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  - We recommend to start with HSN. It is a medium size dataset with a low number of overlaps within a segment
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- -
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  #### Metadata
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  | | format datasets. | description |
@@ -137,9 +137,10 @@ EXAMPLE TRAIN
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  'peaks': [14.76479119037789, 41.16993396760847],
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  'quality': 'A',
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  'recordist': '...'}
 
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  ##### Example Metadata Test5s
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-
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  {'audio': {'path': '.ogg',
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  'array': array([-0.67190468, -0.9638235 , -0.99569213, ..., -0.01262935,
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  -0.01533066, -0.0141047 ]),
 
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  - For multi-label evaluation with a segment-based evaluation use the test_5s column for testing.
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  - You could only load the first 5 seconds or a given event per recording to quickly create a training dataset.
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  - We recommend to start with HSN. It is a medium size dataset with a low number of overlaps within a segment
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+
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  #### Metadata
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  | | format datasets. | description |
 
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  'peaks': [14.76479119037789, 41.16993396760847],
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  'quality': 'A',
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  'recordist': '...'}
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+ ```
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  ##### Example Metadata Test5s
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+ ```python
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  {'audio': {'path': '.ogg',
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  'array': array([-0.67190468, -0.9638235 , -0.99569213, ..., -0.01262935,
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  -0.01533066, -0.0141047 ]),