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README.md

@@ -5,8 +5,9 @@ language:
 - ind
 ---
 
-WReTe, The Wiki Revision Edits Textual Entailment dataset (Setya and Mahendra, 2018) consists of 450 sentence pairs constructed from Wikipedia revision history. The dataset contains pairs of sentences and binary semantic relations between the pairs. The data are labeled as entailed when the meaning of the second sentence can be derived from the first one, and not entailed otherwise
+# wrete
 
+WReTe, The Wiki Revision Edits Textual Entailment dataset (Setya and Mahendra, 2018) consists of 450 sentence pairs constructed from Wikipedia revision history. The dataset contains pairs of sentences and binary semantic relations between the pairs. The data are labeled as entailed when the meaning of the second sentence can be derived from the first one, and not entailed otherwise
 
 ## Dataset Usage
 
@@ -14,7 +15,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@INPROCEEDINGS{8904199,
+```
+@INPROCEEDINGS{8904199,
     author={Purwarianti, Ayu and Crisdayanti, Ida Ayu Putu Ari},
     booktitle={2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA)},
     title={Improving Bi-LSTM Performance for Indonesian Sentiment Analysis Using Paragraph Vector},
@@ -38,6 +40,8 @@ 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)