Update README.md

README.md

@@ -10,7 +10,7 @@ tags:
 
 - **Repository:** [https://github.com/DBD-research-group/GADME](https://github.com/DBD-research-group/GADME)
 - **Paper:** [GADME](https://arxiv.org/)
-- **Point of Contact:** [Lukas Rauch](mailto:lukas.rauch@uni-kassel.de) 
+- **Point of Contact:** [Lukas Rauch](mailto:lukas.rauch@uni-kassel.de)
 
 ### Datasets
 We present the BirdSet benchmark that covers a comprehensive range of classification datasets in avian bioacoustics. 
@@ -57,7 +57,7 @@ We offer a static set of evaluation datasets and a varied collection of training
 ##### Test_5s
 - Task: Multilabel ("ebird_code_multilabel")
 - Only soundscape data from Zenodo formatted acoording to the Kaggle evaluation scheme.
-- Each recording is segmented into 5-second intervals without overlaps.
+- Each recording is segmented into 5-second intervals where each ground truth bird vocalization is assigned to. 
 - This contains segments without any labels which results in a [0] vector.
 
 ##### Test
@@ -66,7 +66,11 @@ We offer a static set of evaluation datasets and a varied collection of training
 - 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").
 
-
+### Quick Use
+- For multi-label evaluation with a segment-based evaluation use the test_5s column for testing.
+- You could only load the first 5 seconds or a given event per recording to quickly create a training dataset.
+- We recommend to start with HSN. It is a medium size dataset with a low number of overlaps within a segment
+- 
 #### Metadata
 
 |                        | format datasets.                                       |    description           | 
@@ -94,7 +98,6 @@ We offer a static set of evaluation datasets and a varied collection of training
 | quality                |  Value("string")                                       |       x                  |     
 | recordist              |  Value("string")                                       |       x                  |     
 
-```
 ##### Example Metadata Train
 
 ```python