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README.md

@@ -3,4 +3,43 @@ tags:
 - question-answering
 language:
 - ind
----
+---
+
+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
+
+
+## Dataset Usage
+
+Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+
+## Citation
+
+```@misc{putri2022idk,
+    doi = {10.48550/ARXIV.2210.13778},
+    url = {https://arxiv.org/abs/2210.13778},
+    author = {Putri, Rifki Afina and Oh, Alice},
+    title = {IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension},
+    publisher = {arXiv},
+    year = {2022}
+}
+
+```
+
+## License
+
+CC-BY-SA 4.0
+
+## Homepage
+
+### NusaCatalogue
+
+For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)