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README.md

@@ -5,10 +5,13 @@ language:
 - ind
 ---
 
+# singgalang
+
 Rule-based annotation Indonesian NER Dataset of 48,957 sentences or 1,478,286 tokens.
+
 Annotation conforms the Stanford-NER format (https://stanfordnlp.github.io/CoreNLP/ner.html) for 3 NER tags of Person, Organisation, and Place.
-This dataset consists of 41,297, 14,770, and 82,179 tokens of entity (respectively) from over 14, 6, and 5 rules.
 
+This dataset consists of 41,297, 14,770, and 82,179 tokens of entity (respectively) from over 14, 6, and 5 rules.
 
 ## Dataset Usage
 
@@ -16,7 +19,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@INPROCEEDINGS{8355036,
+```
+@INPROCEEDINGS{8355036,
   author={Alfina, Ika and Savitri, Septiviana and Fanany, Mohamad Ivan},
   title={Modified DBpedia entities expansion for tagging automatically NER dataset},
   booktitle={2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS)},
@@ -41,6 +45,8 @@ Please note that you are not allowed to create a copy of this dataset and share
 
 ## Homepage
 
+[https://github.com/ir-nlp-csui/singgalang](https://github.com/ir-nlp-csui/singgalang)
+
 ### NusaCatalogue
 
 For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)