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README.md

@@ -5,11 +5,15 @@ language:
 - ind
 ---
 
+# tydiqa_id
+
 TyDiQA dataset is collected from Wikipedia articles with human-annotated question and answer pairs covering 11 languages. 
+
 The question-answer pairs are collected for each language without using translation services.
+
 IndoNLG uses the Indonesian data from the secondary Gold passage task of the original TyDiQA dataset and
-randomly split off 15% of the training data and use it as the test set.
 
+randomly split off 15% of the training data and use it as the test set.
 
 ## Dataset Usage
 
@@ -17,7 +21,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@article{clark-etal-2020-tydi,
+```
+@article{clark-etal-2020-tydi,
     title = "{T}y{D}i {QA}: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages",
     author = "Clark, Jonathan H.  and
       Choi, Eunsol  and
@@ -67,6 +72,8 @@ Creative Common Attribution Share-Alike 4.0 International
 
 ## Homepage
 
+[https://github.com/IndoNLP/indonlg](https://github.com/IndoNLP/indonlg)
+
 ### NusaCatalogue
 
 For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)