Datasets:

DBD-research-group
/

BirdSet

@@ -42,103 +42,108 @@ 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 (xenocanto)            |  80,012 |       x    |     x   |   83       |    409       |
-| XCL (xenocanto)            |  492,676|       x    |     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}
 ### Citation Information

 |                            | train   |    test    | test_5s |  size (GB) |   #classes   |
 |----------------------------|--------:|-----------:|--------:|-----------:|-------------:|
+| HSN (high_sierras)         |  5,460  |     10,296 |  12,000 |   5.92     |      21      |
+| NBP (nips)                 |  24,327 |      5,493 |     563 |   29.9     |      51      |
+| NES (columbia_costa_rica)  |  16,117 |      6,952 |  24,480 |   14.2     |      89      |
+| PER (amazon_basin)         |  16,802 |     14,798 |  15,120 |   10.5     |     132      |
+| POW (powdermill_nature)    |  14,911 |     16,052 |   4,560 |   15.7     |      48      |
+| SNE (sierra_nevada)        |  19,390 |     20,147 |  23,756 |   20.8     |      56      |
+| SSW (sapsucker_woods)      |  28,403 |     50,760 |  205,200|   35.2     |      81      |
+| UHH (hawaiian_islands)     |  3,626  |     59,583 |  36,637 |   4.92     | 25 tr, 27 te |
+| XCM (xenocanto)            |  89,798 |       x    |     x   |   89.3     |    409       |
+| XCL (xenocanto)            |  528,434|       x    |     x   |   484      |   9,734      |
 #### FEATURES
 ```python
 {
+    "audio": datasets.Audio(sampling_rate=32_000, mono=True, decode=True),
+    "filepath": datasets.Value("string"),
+    "start_time": datasets.Value("float64"),  # can be changed to timestamp later
+    "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=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([ 0.0008485 ,  0.00128899, -0.00317163, ...,  0.00228528,
+          0.00270796, -0.00120562]),
   'sampling_rate': 32000},
  'filepath': '.ogg',
  'start_time': None,
  'end_time': None,
  'low_freq': None,
  'high_freq': None,
+ 'ebird_code': 0,
+ 'ebird_code_multilabel': [0],
+ 'ebird_code_secondary': ['plaant1', 'blfnun1', 'butwoo1', 'whtdov', 'undtin1', 'gryhaw3'],
+ 'call_type': 'song',
+ 'sex': 'uncertain',
+ 'lat': -16.0538,
+ 'long': -49.604,
+ 'length': 46,
  'microphone': 'focal',
  'license': '//creativecommons.org/licenses/by-nc-sa/4.0/',
  'source': 'xenocanto',
+ 'local_time': '18:37',
+ 'detected_events': [[0.736, 1.824],
+  [9.936, 10.944],
+  [13.872, 15.552],
+  [19.552, 20.752],
+  [24.816, 25.968],
+  [26.528, 32.16],
+  [36.112, 37.808],
+  [37.792, 38.88],
+  [40.048, 40.8],
+  [44.432, 45.616]],
+ 'event_cluster': [0, 0, 0, 0, 0, -1, 0, 0, -1, 0],
+ 'quality': 'A',
+ 'recordist': '...'}
 EXAMPLE TEST_5S
 {'audio': {'path': '.ogg',
+  'array': array([-0.67190468, -0.9638235 , -0.99569213, ..., -0.01262935,
+         -0.01533066, -0.0141047 ]),
   'sampling_rate': 32000},
  'filepath': '.ogg',
  'start_time': 0.0,
  'end_time': 5.0,
+ 'low_freq': 0,
+ 'high_freq': 3098,
  'ebird_code': None,
+ 'ebird_code_multilabel': [],
+ 'ebird_code_secondary': None,
  'call_type': None,
  'sex': None,
+ 'lat': 5.59,
+ 'long': -75.85,
+ 'length': None,
  'microphone': 'Soundscape',
  'license': 'Creative Commons Attribution 4.0 International Public License',
+ 'source': 'https://zenodo.org/record/7525349',
+ 'local_time': '4:30:29',
  'detected_events': None,
  'event_cluster': None,
+ 'quality': None,
+ 'recordist': None}
 ### Citation Information