region:us
The Tatoeba Translation Challenge is a multilingual data set of
machine translation benchmarks derived from user-contributed
translations collected by [Tatoeba.org](https://tatoeba.org/) and
provided as parallel corpus from [OPUS](https://opus.nlpl.eu/). This
dataset includes test and development data sorted by language pair. It
includes test sets for hundreds of language pairs and is continuously
updated. Please, check the version number tag to refer to the release
that your are using.
@inproceedings{tiedemann-2020-tatoeba,
    title = "The {T}atoeba {T}ranslation {C}hallenge {--} {R}ealistic Data Sets for Low Resource and Multilingual {MT}",
    author = {Tiedemann, J{\"o}rg},
    booktitle = "Proceedings of the Fifth Conference on Machine Translation",
    month = nov,
    year = "2020",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.wmt-1.139",
    pages = "1174--1182",
}
annotations_creators:
  - no-annotation
language_creators:
  - crowdsourced
language:
  - ja
  - zh
license:
  - cc-by-2.0
multilinguality:
  - translation
pretty_name: The Tatoeba Translation Challenge
size_categories:
  - unknown
source_datasets:
  - original
task_categories:
  - conditional-text-generation
task_ids:
  - machine-translation