Update README.md

README.md

@@ -6,14 +6,14 @@ tags:
 - bird classification
 - passive acoustic monitoring
 ---
-## Dataset Description
+# Dataset Description
 
 - **Repository:** [https://github.com/DBD-research-group/GADME](https://github.com/DBD-research-group/BirdSet)
 - **Paper:** [BirdSet](https://arxiv.org/abs/2403.10380)
 - **Point of Contact:** [Lukas Rauch](mailto:lukas.rauch@uni-kassel.de)
 
 
-### Datasets
+## Datasets
 We present the BirdSet benchmark that covers a comprehensive range of (multi-label and multi-class) 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.
 - **Complementary Code**:[https://github.com/DBD-research-group/GADME](https://github.com/DBD-research-group/BirdSet)
@@ -71,7 +71,7 @@ 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").
 
-### How to
+# How to
 - We recommend to use our [intro notebook](https://github.com/DBD-research-group/BirdSet/blob/main/notebooks/tutorials/birdset-pipeline_tutorial.ipynb) in our code repository
 - The BirdSet Code package simplfies the data processing steps 
 - For multi-label evaluation with a segment-based evaluation use the test_5s column for testing.
@@ -104,7 +104,7 @@ def map_first_five(sample):
 train = train.map(map_first_five, batch_size=1000, num_proc=2)
 ```
 
-### Metadata
+## Metadata
 
 |                        | format                                                 |    description           | 
 |------------------------|-------------------------------------------------------:|-------------------------:|