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README.md

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+---
+tags:
+- question-answering
+language:
+- ind
+---
+
+
+FacQA: The goal of the FacQA dataset is to find the answer to a question from a provided short passage from a news article.
+Each row in the FacQA dataset consists of a question, a short passage, and a label phrase, which can be found inside the
+corresponding short passage. There are six categories of questions: date, location, name,
+organization, person, and quantitative.
+
+
+## Dataset Usage
+
+Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+
+## Citation
+
+```
+@inproceedings{purwarianti2007machine,
+  title={A Machine Learning Approach for Indonesian Question Answering System},
+  author={Ayu Purwarianti, Masatoshi Tsuchiya, and Seiichi Nakagawa},
+  booktitle={Proceedings of Artificial Intelligence and Applications },
+  pages={573--578},
+  year={2007}
+}
+```
+
+## 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)