--- license: gpl-3.0 language: - mya - rki pretty_name: Myanmar Rakhine Parallel task_categories: - machine-translation tags: - machine-translation --- The data contains 18,373 Myanmar sentences of the ASEAN-MT Parallel Corpus, which is a parallel corpus in the travel domain. It contains six main categories: people (greeting, introduction, and communication), survival (transportation, accommodation, and finance), food (food, beverages, and restaurants), fun (recreation, traveling, shopping, and nightlife), resource (number, time, and accuracy), special needs (emergency and health). Manual translation into the Rakhine language was done by native Rakhine students from two Myanmar universities, and the translated corpus was checked by the editor of a Rakhine newspaper. Word segmentation for Rakhine was done manually, and there are exactly 123,018 words in total. ## Languages mya, rki ## Supported Tasks Machine Translation ## Dataset Usage ### Using `datasets` library ``` from datasets import load_dataset dset = datasets.load_dataset("SEACrowd/myanmar_rakhine_parallel", trust_remote_code=True) ``` ### Using `seacrowd` library ```import seacrowd as sc # Load the dataset using the default config dset = sc.load_dataset("myanmar_rakhine_parallel", schema="seacrowd") # Check all available subsets (config names) of the dataset print(sc.available_config_names("myanmar_rakhine_parallel")) # Load the dataset using a specific config dset = sc.load_dataset_by_config_name(config_name="") ``` More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use). ## Dataset Homepage [https://github.com/ye-kyaw-thu/myPar/tree/master/my-rk](https://github.com/ye-kyaw-thu/myPar/tree/master/my-rk) ## Dataset Version Source: 0.1.0. SEACrowd: 2024.06.20. ## Dataset License GNU General Public License v3.0 (gpl-3.0) ## Citation If you are using the **Myanmar Rakhine Parallel** dataloader in your work, please cite the following: ``` @inproceedings{myint-oo-etal-2019-neural, title = "Neural Machine Translation between {M}yanmar ({B}urmese) and {R}akhine ({A}rakanese)", author = "Myint Oo, Thazin and Kyaw Thu, Ye and Mar Soe, Khin", editor = {Zampieri, Marcos and Nakov, Preslav and Malmasi, Shervin and Ljube{ {s}}i{'c}, Nikola and Tiedemann, J{"o}rg and Ali, Ahmed}, booktitle = "Proceedings of the Sixth Workshop on {NLP} for Similar Languages, Varieties and Dialects", month = jun, year = "2019", address = "Ann Arbor, Michigan", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/W19-1408", doi = "10.18653/v1/W19-1408", pages = "80--88", } @article{lovenia2024seacrowd, title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages}, author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya}, year={2024}, eprint={2406.10118}, journal={arXiv preprint arXiv: 2406.10118} } ```