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README.md

@@ -3,4 +3,52 @@ tags:
 - aspect-based-sentiment-analysis
 language:
 - ind
----
+---
+
+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.
+
+
+## Dataset Usage
+
+Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+
+## Citation
+
+```@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",
+    booktitle = "Proceedings of the Third Workshop on Abusive Language Online",
+    month = aug,
+    year = "2019",
+    address = "Florence, Italy",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/W19-3506",
+    doi = "10.18653/v1/W19-3506",
+    pages = "46--57",
+}
+```
+
+## License
+
+Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
+
+## Homepage
+
+### NusaCatalogue
+
+For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)