Update README.md

README.md

@@ -16,6 +16,8 @@ tags:
 We present the BirdSet benchmark that covers a comprehensive range of classification datasets in avian bioacoustics. 
 We offer a static set of evaluation datasets and a varied collection of training datasets, enabling the application of diverse methodologies.
 
+We have a complementary code base: https://github.com/DBD-research-group/BirdSet
+
 |                                | train   |    test    | test_5s |  size (GB) |   #classes   |
 |--------------------------------|--------:|-----------:|--------:|-----------:|-------------:|
 | [PER][1] (Amazon Basin)        |  16,802 |     14,798 |  15,120 |   10.5     |     132      |
@@ -73,13 +75,13 @@ We offer a static set of evaluation datasets and a varied collection of training
 
 #### Metadata
 
-|                        | format datasets.                                       |    description           | 
+|                        | format                                                 |    description           | 
 |------------------------|-------------------------------------------------------:|-------------------------:|
-| audio                  |  Audio(sampling_rate=32_000, mono=True, decode=True)   |                    |  
-| filepath               |  Value("string")                                       |                    |  
-| start_time             |  Value("float64")                                      |                    | 
-| end_time               |  Value("float64")                                      |                    | 
-| low_freq               |  Value("int64")                                        |                    |     
+| audio                  |  Audio(sampling_rate=32_000, mono=True, decode=True)   | audio object from hf                         |  
+| filepath               |  Value("string")                                       | path where the recording is saved                          |  
+| start_time             |  Value("float64")                                      | only testdata:start time of a vocalization if the ground truth label is given | 
+| end_time               |  Value("float64")                                      | only testdata: end time of a vocalzation if the ground truth label is given  | 
+| low_freq               |  Value("int64")                                        |                          |     
 | high_freq              |  Value("int64")                                        |                    |   
 | ebird_code             |  ClassLabel(names=class_list)                          |                    |  
 | ebird_code_multilabel  |  Sequence(datasets.ClassLabel(names=class_list))       |                       |  
@@ -101,7 +103,6 @@ We offer a static set of evaluation datasets and a varied collection of training
 #### Example Metadata Train
 
 ```python
-EXAMPLE TRAIN
 {'audio': {'path': '.ogg',
   'array': array([ 0.0008485 ,  0.00128899, -0.00317163, ...,  0.00228528,
           0.00270796, -0.00120562]),