---
task_categories:
- audio-classification
---


### Datasets
    
#### Train
- Exclusively using focal audio data from Xeno-Canto (XC) with quality ratings A, B, C and excluding all recordings that are CC-ND.
- Each dataset is tailored for specific target species identified in soundscape files.
- We offer detected events and corresponding cluster assignments to identify bird sounds in each recording.
- We provide the full recordings from XC! These can generate multiple samples from a single instance.

#### Test
- Only soundscape data sourced from Zenodo.
- We provide the full recording with the complete label set and specified bounding boxes.
- This dataset excludes recordings that do not contain bird calls ("no_call").
- Task: Multiclass ("ebird_code")

#### Test_5s
- Only soundscape data from Zenodo formatted acoording to the Kaggle evaluation scheme.
- Each recording is segmented into 5-second intervals without overlaps.
- This contains the "no_call" class.
- Task: Multilabel ("ebird_code_multilabel")

### Subsets

Numbers need to be updated

|                            | train   |    test    | test_5s |  size (GB) |   #classes   |
|----------------------------|--------:|-----------:|--------:|-----------:|-------------:|
| HSN (high_sierras)         |  5,197  |     10,296 |  12,000 |   6.2      |      21      |
| NBP (nips)                 |  24,327 |      5,493 |     563 |   wip      |      51      |
| NES (columbia_costa_rica)  |  15,157 |      6,952 |  24,480 |   14       |      89      |
| PER (amazon_basin)         |  15,679 |     14,798 |  15,120 |   10       |     132      |
| POW (powdermill_nature)    |  13,922 |     16,052 |   4,560 |   16       |      48      |
| SNE (sierra_nevada)        |  18,307 |     20,147 |  23,756 |   22       |      56      |
| SSW (sapsucker_woods)      |  26,487 |     50,760 |  205,200|   36       |      81      |
| UHH (hawaiian_islands)     |  3,427  |     59,583 |  36,637 |   5.1      | 25 tr, 27 te |
| XCM                        |  80,012 |       x    |         |   83       |    409       |
| XCL (xenocanto)            |  492,676|       x    |         |   485      |   9,734      |

#### FEATURES

```python
{
  "audio": datasets.Audio(sampling_rate=32_000, mono=True, decode=True),
  "filepath": datasets.Value("string"),
  "start_time": datasets.Value("float64"),
  "end_time": datasets.Value("float64"),
  "low_freq": datasets.Value("int64"),
  "high_freq": datasets.Value("int64"),
  "ebird_code": datasets.ClassLabel(names=class_list),
  "ebird_code_multilabel": datasets.Sequence(datasets.ClassLabel(names=["no_call"] + class_list)),
  "ebird_code_secondary": datasets.Sequence(datasets.Value("string")),
  "call_type": datasets.Value("string"),
  "sex": datasets.Value("string"),
  "lat": datasets.Value("float64"),
  "long": datasets.Value("float64"),
  "length": datasets.Value("int64"),
  "microphone": datasets.Value("string"),
  "license": datasets.Value("string"),
  "source": datasets.Value("string"),
  "local_time": datasets.Value("string"),
  "detected_events": datasets.Sequence(datasets.Sequence(datasets.Value("float64"))),
  "event_cluster": datasets.Sequence(datasets.Value("int64")),
  "quality": datasets.Value("string"),
  "recordist": datasets.Value("string")
        })
```
```python
EXAMPLE TRAIN
{'audio': {'path': '.ogg',
  'array': array([ 6.24680333e-02,  7.57145062e-02,  4.91199419e-02, ...,
         -2.04162002e-02,  8.73558223e-03, -6.23320229e-05]),
  'sampling_rate': 32000},
 'filepath': '.ogg',
 'start_time': None,
 'end_time': None,
 'low_freq': None,
 'high_freq': None,
 'ebird_code': 1,
 'ebird_code_multiclass': None,
 'call_type': 'call',
 'sex': None,
 'lat': 22.2029,
 'long': -159.473,
 'microphone': 'focal',
 'license': '//creativecommons.org/licenses/by-nc-sa/4.0/',
 'source': 'xenocanto',
 'local_time': '12:49',
 'detected_events': [[0.832, 2.48],
  [2.992, 4.016],
  [3.2, 3.904],
  [5.472, 6.048],
  [5.488, 6.432],
  [7.088, 8.16],
  [8.944, 10.432],
  [10.72, 12.672],
  [11.152, 13.2],
  [13.488, 14.0],
  [14.64, 16.496]],
 'event_cluster': [1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1],
 'quality': 'A'}

EXAMPLE TEST_5S
{'audio': {'path': '.ogg',
  'array': array([-5.03219722e-04,  9.99580720e-04,  2.58744985e-05, ...,
         -4.06746846e-03, -3.79991997e-03,  2.88472045e-04]),
  'sampling_rate': 32000},
 'filepath': '.ogg',
 'start_time': 0.0,
 'end_time': 5.0,
 'low_freq': 2678,
 'high_freq': 6053,
 'ebird_code': None,
 'ebird_code_multiclass': [0],
 'call_type': None,
 'sex': None,
 'lat': 19.801668,
 'long': -155.609444,
 'microphone': 'Soundscape',
 'license': 'Creative Commons Attribution 4.0 International Public License',
 'source': 'https://zenodo.org/record/7078499',
 'local_time': '15:00:06',
 'detected_events': None,
 'event_cluster': None,
 'quality': None}

EXAMPLE TEST
{'audio': {'path': '.ogg',
  'array': array([-5.03219722e-04,  9.99580720e-04,  2.58744985e-05, ...,
         -4.06746846e-03, -3.79991997e-03,  2.88472045e-04]),
  'sampling_rate': 32000},
 'filepath': '.ogg',
 'start_time': 6.8,
 'end_time': 8.2,
 'low_freq': 2678,
 'high_freq': 6053,
 'ebird_code': 22,
 'ebird_code_multiclass': None,
 'call_type': None,
 'sex': None,
 'lat': 19.801668,
 'long': -155.609444,
 'microphone': 'Soundscape',
 'license': 'Creative Commons Attribution 4.0 International Public License',
 'source': 'https://zenodo.org/record/7078499',
 'local_time': '15:00:06',
 'detected_events': None,
 'event_cluster': None,
 'quality': None}
```