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README.md

@@ -5,17 +5,27 @@ language:
 - ind
 ---
 
+# idk_mrc
+
 I(n)dontKnow-MRC (IDK-MRC) is an Indonesian Machine Reading Comprehension dataset that covers
+
 answerable and unanswerable questions. Based on the combination of the existing answerable questions in TyDiQA,
+
 the new unanswerable question in IDK-MRC is generated using a question generation model and human-written question.
+
 Each paragraph in the dataset has a set of answerable and unanswerable questions with the corresponding answer.
 
+
+
 Besides IDK-MRC (idk_mrc) dataset, several baseline datasets also provided:
+
 1. Trans SQuAD (trans_squad): machine translated SQuAD 2.0 (Muis and Purwarianti, 2020)
+
 2. TyDiQA (tydiqa): Indonesian answerable questions set from the TyDiQA-GoldP (Clark et al., 2020)
+
 3. Model Gen (model_gen): TyDiQA + the unanswerable questions output from the question generation model
-4. Human Filt (human_filt): Model Gen dataset that has been filtered by human annotator
 
+4. Human Filt (human_filt): Model Gen dataset that has been filtered by human annotator
 
 ## Dataset Usage
 
@@ -23,7 +33,8 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
 
 ## Citation
 
-```@misc{putri2022idk,
+```
+@misc{putri2022idk,
     doi = {10.48550/ARXIV.2210.13778},
     url = {https://arxiv.org/abs/2210.13778},
     author = {Putri, Rifki Afina and Oh, Alice},
@@ -31,7 +42,6 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
     publisher = {arXiv},
     year = {2022}
 }
-
 ```
 
 ## License
@@ -40,6 +50,8 @@ CC-BY-SA 4.0
 
 ## Homepage
 
+[https://github.com/rifkiaputri/IDK-MRC](https://github.com/rifkiaputri/IDK-MRC)
+
 ### NusaCatalogue
 
 For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)