Update README.md

README.md

@@ -35,6 +35,18 @@ Welcome to MLAAD: The Multi-Language Audio Anti-Spoofing Dataset -- a dataset to
 [the paper](https://arxiv.org/pdf/2401.09512.pdf) for more information.
 
 
+
+### Download the dataset
+
+```
+# if needed, install git-lfs
+sudo apt-get install git-lfs
+git lfs install
+# clone the repository
+git clone https://huggingface.co/datasets/mueller91/MLAAD
+``` 
+
+
 ### Structure
 The dataset is based on the [M-AILABS](https://github.com/imdatceleste/m-ailabs-dataset) dataset.
 MLAAD is structured as follows:
@@ -64,18 +76,6 @@ path|original_file|language|is_original_language|duration|training_data|model_na
 ```
 
 
-
-### Download the dataset
-
-```
-# if needed, install git-lfs
-sudo apt-get install git-lfs
-git lfs install
-# clone the repository
-git clone https://huggingface.co/datasets/mueller91/MLAAD
-``` 
-
-
 ### Proposed Usage 
 We suggest to use MLAAD either as new out-of-domain test data for existing anti-spoofing models, or as additional training resource.
 We urge to complement the fake audios in MLAAD with the corresponding authentic ones from M-AILABS, in order to obtain a balanced dataset.