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README.md

@@ -5,13 +5,19 @@ language:
 - ind
 ---
 
+# id_clickbait
+
 The CLICK-ID dataset is a collection of Indonesian news headlines that was collected from 12 local online news
+
 publishers; detikNews, Fimela, Kapanlagi, Kompas, Liputan6, Okezone, Posmetro-Medan, Republika, Sindonews, Tempo,
+
 Tribunnews, and Wowkeren. This dataset is comprised of mainly two parts; (i) 46,119 raw article data, and (ii)
+
 15,000 clickbait annotated sample headlines. Annotation was conducted with 3 annotator examining each headline.
+
 Judgment were based only on the headline. The majority then is considered as the ground truth. In the annotated
-sample, our annotation shows 6,290 clickbait and 8,710 non-clickbait.
 
+sample, our annotation shows 6,290 clickbait and 8,710 non-clickbait.
 
 ## Dataset Usage
 
@@ -19,7 +25,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@article{WILLIAM2020106231,
+```
+@article{WILLIAM2020106231,
 title = "CLICK-ID: A novel dataset for Indonesian clickbait headlines",
 journal = "Data in Brief",
 volume = "32",
@@ -40,6 +47,8 @@ Creative Commons Attribution 4.0 International
 
 ## Homepage
 
+[https://www.sciencedirect.com/science/article/pii/S2352340920311252#!](https://www.sciencedirect.com/science/article/pii/S2352340920311252#!)
+
 ### NusaCatalogue
 
 For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)