Update README.md

README.md

@@ -1,3 +1,13 @@
+---
+language: 
+  - en
+library_name: pysentimiento
+
+tags:
+  - twitter
+  - irony
+
+
 # Irony detection in English
 ## bertweet-irony
 
@@ -5,7 +15,7 @@ Repository: [https://github.com/pysentimiento/pysentimiento/](https://github.com
 
 
 
-Model trained with IRosVA 2019 dataset for irony detection. Base model is [BERTweet], a RoBERTa model trained in English tweets.
+Model trained with SemEval 2018 dataset Task 3 (Van Hee et all, 2018) for irony detection. Base model is [BERTweet], a RoBERTa model trained in English tweets.
 
 The positive class marks irony, the negative class marks not ironic content.