--- dataset_info: features: - name: translation dtype: translation: languages: - en - ja splits: - name: test num_bytes: 190991 num_examples: 2000 - name: train num_bytes: 88348569 num_examples: 1000000 - name: validation num_bytes: 191411 num_examples: 2000 download_size: 64068812 dataset_size: 88730971 configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validation path: data/validation-* license: unknown language: - en - ja pretty_name: OPUS-100 --- # Dataset Card for OPUS-100-en-ja ### Dataset Summary This corpus is extracted from **[Helsinki-NLP/opus-100](https://huggingface.co/datasets/Helsinki-NLP/opus-100)**, with Japanese and English pairs. ### How to use It is used in much the same way as **[Helsinki-NLP/opus-100](https://huggingface.co/datasets/Helsinki-NLP/opus-100)**. The only difference is that you do not have to specify the language. ``` from datasets import load_dataset dataset = load_dataset("Hoshikuzu/opus-100-en-ja") ``` If data loading times are too long and boring, use Streaming. ``` from datasets import load_dataset dataset = load_dataset("Hoshikuzu/opus-100-en-ja", streaming=True) ``` ## Dataset Structure ### Data Instances ``` { 'translation': { 'en': 'Yeah, Vincent Hanna.', 'ja': '- ラウール - ラウールに ヴィンセント・ハンナだ' } } ``` ### Data Fields Translation dictionaries containing texts from languages 1 and 2. ### Data Splits The dataset is split into training, development, and test portions. ### Citation Information Follow the instructions described in the Helsinki-NLP/opus-100 readme. The following is taken from Helsinki-NLP/opus-100: If you use this corpus, please cite the paper: ```bibtex @inproceedings{zhang-etal-2020-improving, title = "Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation", author = "Zhang, Biao and Williams, Philip and Titov, Ivan and Sennrich, Rico", editor = "Jurafsky, Dan and Chai, Joyce and Schluter, Natalie and Tetreault, Joel", booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics", month = jul, year = "2020", address = "Online", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2020.acl-main.148", doi = "10.18653/v1/2020.acl-main.148", pages = "1628--1639", } ``` and, please, also acknowledge OPUS: ```bibtex @inproceedings{tiedemann-2012-parallel, title = "Parallel Data, Tools and Interfaces in {OPUS}", author = {Tiedemann, J{\"o}rg}, editor = "Calzolari, Nicoletta and Choukri, Khalid and Declerck, Thierry and Do{\u{g}}an, Mehmet U{\u{g}}ur and Maegaard, Bente and Mariani, Joseph and Moreno, Asuncion and Odijk, Jan and Piperidis, Stelios", booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)", month = may, year = "2012", address = "Istanbul, Turkey", publisher = "European Language Resources Association (ELRA)", url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf", pages = "2214--2218", } ```