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README.md

@@ -5,10 +5,13 @@ language:
 - ind
 ---
 
+# posp
+
 POSP is a POS Tagging dataset containing 8400 sentences, collected from Indonesian news website with 26 POS tag classes.
+
 The POS tag labels follow the Indonesian Association of Computational Linguistics (INACL) POS Tagging Convention.
-POSP dataset is splitted into 3 sets with 6720 train, 840 validation, and 840 test data.
 
+POSP dataset is splitted into 3 sets with 6720 train, 840 validation, and 840 test data.
 
 ## Dataset Usage
 
@@ -16,7 +19,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@inproceedings{hoesen2018investigating,
+```
+@inproceedings{hoesen2018investigating,
   title={Investigating Bi-LSTM and CRF with POS Tag Embedding for Indonesian Named Entity Tagger},
   author={Devin Hoesen and Ayu Purwarianti},
   booktitle={Proceedings of the 2018 International Conference on Asian Language Processing (IALP)},
@@ -39,6 +43,8 @@ Creative Common 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)