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README.md

@@ -5,22 +5,37 @@ language:
 - ind
 ---
 
+# id_multilabel_hs
+
 The ID_MULTILABEL_HS dataset is collection of 13,169 tweets in Indonesian language,
+
 designed for hate speech detection NLP task. This dataset is combination from previous research and newly crawled data from Twitter.
+
 This is a multilabel dataset with label details as follows:
+
 -HS : hate speech label;
+
 -Abusive : abusive language label;
+
 -HS_Individual : hate speech targeted to an individual;
+
 -HS_Group : hate speech targeted to a group;
+
 -HS_Religion : hate speech related to religion/creed;
+
 -HS_Race : hate speech related to race/ethnicity;
+
 -HS_Physical : hate speech related to physical/disability;
+
 -HS_Gender : hate speech related to gender/sexual orientation;
+
 -HS_Gender : hate related to other invective/slander;
+
 -HS_Weak : weak hate speech;
+
 -HS_Moderate : moderate hate speech;
--HS_Strong : strong hate speech.
 
+-HS_Strong : strong hate speech.
 
 ## Dataset Usage
 
@@ -28,7 +43,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@inproceedings{ibrohim-budi-2019-multi,
+```
+@inproceedings{ibrohim-budi-2019-multi,
     title = "Multi-label Hate Speech and Abusive Language Detection in {I}ndonesian {T}witter",
     author = "Ibrohim, Muhammad Okky  and
       Budi, Indra",
@@ -49,6 +65,8 @@ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
 
 ## Homepage
 
+[https://aclanthology.org/W19-3506/](https://aclanthology.org/W19-3506/)
+
 ### NusaCatalogue
 
 For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)