Datasets:
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README.md
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- translation
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task_ids: []
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paperswithcode_id: opus-100
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path: ru-zh/test-*
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---
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# Dataset Card for
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## Table of Contents
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- [Dataset Description](#dataset-description)
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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### Dataset Summary
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OPUS-100 is English-centric
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### Supported Tasks and Leaderboards
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### Languages
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```
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### Data Fields
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- `tgt_tag`: `string` translation of source language in target language
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### Data Splits
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### Citation Information
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```
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}
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```
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task_ids: []
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paperswithcode_id: opus-100
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pretty_name: OPUS-100
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config_names:
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path: ru-zh/test-*
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---
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# Dataset Card for OPUS-100
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## Table of Contents
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- [Dataset Description](#dataset-description)
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## Dataset Description
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- **Homepage:** https://opus.nlpl.eu/OPUS-100
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- **Repository:** https://github.com/EdinburghNLP/opus-100-corpus
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- **Paper:** https://arxiv.org/abs/2004.11867
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- **Paper:** https://aclanthology.org/L10-1473/
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- **Leaderboard:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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### Dataset Summary
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OPUS-100 is an English-centric multilingual corpus covering 100 languages.
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OPUS-100 is English-centric, meaning that all training pairs include English on either the source or target side. The corpus covers 100 languages (including English).
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The languages were selected based on the volume of parallel data available in OPUS.
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### Supported Tasks and Leaderboards
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Translation.
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### Languages
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```
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{
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"translation": {
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"ca": "El departament de bombers té el seu propi equip d'investigació.",
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"en": "Well, the fire department has its own investigative unit."
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}
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}
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```
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### Data Fields
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- `translation` (`dict`): Parallel sentences for the pair of languages.
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### Data Splits
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### Citation Information
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If you use this corpus, please cite the paper:
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```bibtex
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@inproceedings{zhang-etal-2020-improving,
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title = "Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation",
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author = "Zhang, Biao and
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Williams, Philip and
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Titov, Ivan and
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Sennrich, Rico",
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editor = "Jurafsky, Dan and
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Chai, Joyce and
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Schluter, Natalie and
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Tetreault, Joel",
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booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
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month = jul,
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year = "2020",
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address = "Online",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2020.acl-main.148",
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doi = "10.18653/v1/2020.acl-main.148",
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pages = "1628--1639",
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}
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```
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and, please, also acknowledge OPUS:
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```bibtex
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@inproceedings{tiedemann-2012-parallel,
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title = "Parallel Data, Tools and Interfaces in {OPUS}",
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author = {Tiedemann, J{\"o}rg},
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editor = "Calzolari, Nicoletta and
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Choukri, Khalid and
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Declerck, Thierry and
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Do{\u{g}}an, Mehmet U{\u{g}}ur and
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Maegaard, Bente and
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Mariani, Joseph and
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Moreno, Asuncion and
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Odijk, Jan and
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Piperidis, Stelios",
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booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
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month = may,
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year = "2012",
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address = "Istanbul, Turkey",
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publisher = "European Language Resources Association (ELRA)",
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url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
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pages = "2214--2218",
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}
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```
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