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README.md

@@ -5,9 +5,11 @@ language:
 - ind
 ---
 
+# emot
+
 EmoT is an emotion classification dataset collected from the social media platform Twitter. The dataset consists of around 4000 Indonesian colloquial language tweets, covering five different emotion labels: anger, fear, happiness, love, and sadness.
-EmoT dataset is splitted into 3 sets with 3521 train, 440 validation, 442 test data.
 
+EmoT dataset is splitted into 3 sets with 3521 train, 440 validation, 442 test data.
 
 ## Dataset Usage
 
@@ -15,7 +17,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@inproceedings{saputri2018emotion,
+```
+@inproceedings{saputri2018emotion,
   title={Emotion classification on indonesian twitter dataset},
   author={Saputri, Mei Silviana and Mahendra, Rahmad and Adriani, Mirna},
   booktitle={2018 International Conference on Asian Language Processing (IALP)},
@@ -39,6 +42,8 @@ Creative Commons Attribution Share-Alike 4.0 International
 
 ## Homepage
 
+[https://github.com/IndoNLP/indonlu](https://github.com/IndoNLP/indonlu)
+
 ### NusaCatalogue
 
 For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)