Minor

README.md

@@ -31,12 +31,7 @@ Before using this metric, you need to install the dependencies -
 pip install -U sentence-transformers scikit-learn nltk
 ```
 
-Sem-F1 takes 2 mandatory arguments:  
-
-- `predictions` - List of predictions. Format varies based on `tokenize_sentences` and `multi_references` flags.
-- `references`: List of references. Format varies based on `tokenize_sentences` and `multi_references` flags.
-
-
+#### Python Usage
 ```python
 from evaluate import load
 predictions = [
@@ -54,6 +49,11 @@ for score in results:
 ```
 
 
+Sem-F1 takes 2 mandatory arguments:  
+
+- `predictions` - List of predictions. Format varies based on `tokenize_sentences` and `multi_references` flags.
+- `references`: List of references. Format varies based on `tokenize_sentences` and `multi_references` flags.
+
 Sem-F1 also accepts multiple optional arguments: