--- tags: - question-answering 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. ## Dataset Usage Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`. ## Citation ``` @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 Collins, Michael and Garrette, Dan and Kwiatkowski, Tom and Nikolaev, Vitaly and Palomaki, Jennimaria", journal = "Transactions of the Association for Computational Linguistics", volume = "8", year = "2020", address = "Cambridge, MA", publisher = "MIT Press", url = "https://aclanthology.org/2020.tacl-1.30", doi = "10.1162/tacl_a_00317", pages = "454--470", } @inproceedings{cahyawijaya-etal-2021-indonlg, title = "{I}ndo{NLG}: Benchmark and Resources for Evaluating {I}ndonesian Natural Language Generation", author = "Cahyawijaya, Samuel and Winata, Genta Indra and Wilie, Bryan and Vincentio, Karissa and Li, Xiaohong and Kuncoro, Adhiguna and Ruder, Sebastian and Lim, Zhi Yuan and Bahar, Syafri and Khodra, Masayu and Purwarianti, Ayu and Fung, Pascale", booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing", month = nov, year = "2021", address = "Online and Punta Cana, Dominican Republic", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2021.emnlp-main.699", doi = "10.18653/v1/2021.emnlp-main.699", pages = "8875--8898" } ``` ## License 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)