Update README.md

README.md

@@ -3,8 +3,10 @@ license: mit
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 ## Model description
-An xlm-roberta-large model fine-tuned on ~1,6 million annotated statements contained in the manifesto corpus (version 2023a). 
-The model can be used to categorize any type of text into 56 different political topics according to the Manifesto Project's coding scheme (Handbook 4).
+An xlm-roberta-large model fine-tuned on ~1,6 million annotated statements contained in the [Manifesto Corpus](https://manifesto-project.wzb.eu/information/documents/corpus) (version 2023a). 
+The model can be used to categorize any type of text into 56 different political topics according to the Manifesto Project's coding scheme ([Handbook 4](https://manifesto-project.wzb.eu/coding_schemes/mp_v4)).
+It works for all languages the xlm-roberta model is pretrained on ([overview](https://github.com/facebookresearch/fairseq/tree/main/examples/xlmr#introduction)), just note that it will perform best for the 38 languages contained in the Manifesto Corpus:
+
 
 ## How to use
 
@@ -37,8 +39,6 @@ print(predicted_class)
 ```
 
 
-## Model Performance
-
 ## Model Performance
 
 The model was evaluated on a test set of 199,046 annotated manifesto statements.