metadata

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, with Japanese and English pairs.

How to use

It is used in much the same way as 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:

@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:

@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",
}