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---
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annotations_creators:
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- machine-generated
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- expert-generated
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language_creators:
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- found
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languages:
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- en
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licenses:
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- cc-by-4-0
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multilinguality:
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- bg
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- cs
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- da
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- de
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- el
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- en
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- es
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- et
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- fi
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- fr
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- hu
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- it
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- lt
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- lv
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- mt
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- nl
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- pl
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- pt
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- ro
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- sk
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- sl
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- sv
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pretty_name: WMT-16-PubMed
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size_categories:
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- 100K<n<1M
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source_datasets:
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- extended
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task_categories:
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- translation
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- machine-translation
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task_ids:
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- translation
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- machine-translation
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---
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# WMT-16-PubMed : European parallel translation corpus from the European Medicines Agency
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## Table of Contents
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- [Dataset Card for [Needs More Information]](#dataset-card-for-needs-more-information)
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
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- [Who are the source language producers?](#who-are-the-source-language-producers)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:** https://www.statmt.org/wmt16/biomedical-translation-task.html
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- **Repository:** https://github.com/biomedical-translation-corpora/corpora
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- **Paper:** https://aclanthology.org/W16-2301/
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- **Leaderboard:** [Needs More Information]
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- **Point of Contact:** [Yanis Labrak](mailto:yanis.labrak@univ-avignon.fr)
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### Dataset Summary
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`WMT-16-PubMed` is a parallel corpus for neural machine translation collected and aligned for ACL 2016 during the [WMT'16 Shared Task: Biomedical Translation Task](https://www.statmt.org/wmt16/biomedical-translation-task.html).
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### Supported Tasks and Leaderboards
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`translation`: The dataset can be used to train a model for translation.
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### Languages
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The corpora consists of a pair of source and target sentences for all 4 different languages :
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**List of languages :** `English (en)`,`Spanish (es)`,`French (fr)`,`Portuguese (pt)`.
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## Load the dataset with HuggingFace
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```python
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from datasets import load_dataset
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dataset = load_dataset("qanastek/WMT-16-PubMed", split='train', download_mode='force_redownload')
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print(dataset)
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print(dataset[0])
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```
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## Dataset Structure
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### Data Instances
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```plain
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lang doc_id workshop publisher source_text target_text
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0 en-fr 26839447 WMT'16 Biomedical Translation Task - PubMed pubmed Global Health: Where Do Physiotherapy and Reha... La place des cheveux et des poils dans les rit...
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1 en-fr 26837117 WMT'16 Biomedical Translation Task - PubMed pubmed Carabin Les Carabins
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2 en-fr 26837116 WMT'16 Biomedical Translation Task - PubMed pubmed In Process Citation Le laboratoire d'Anatomie, Biomécanique et Org...
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3 en-fr 26837115 WMT'16 Biomedical Translation Task - PubMed pubmed Comment on the misappropriation of bibliograph... Du détournement des références bibliographique...
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4 en-fr 26837114 WMT'16 Biomedical Translation Task - PubMed pubmed Anti-aging medicine, a science-based, essentia... La médecine anti-âge, une médecine scientifiqu...
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... ... ... ... ... ... ...
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973972 en-pt 20274330 WMT'16 Biomedical Translation Task - PubMed pubmed Myocardial infarction, diagnosis and treatment Infarto do miocárdio; diagnóstico e tratamento
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973973 en-pt 20274329 WMT'16 Biomedical Translation Task - PubMed pubmed The health areas politics A política dos campos de saúde
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973974 en-pt 20274328 WMT'16 Biomedical Translation Task - PubMed pubmed The role in tissue edema and liquid exchanges ... O papel dos tecidos nos edemas e nas trocas lí...
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973975 en-pt 20274327 WMT'16 Biomedical Translation Task - PubMed pubmed About suppuration of the wound after thoracopl... Sôbre as supurações da ferida operatória após ...
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973976 en-pt 20274326 WMT'16 Biomedical Translation Task - PubMed pubmed Experimental study of liver lesions in the tre... Estudo experimental das lesões hepáticas no tr...
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```
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### Data Fields
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**lang** : The pair of source and target language of type `String`.
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**source_text** : The source text of type `String`.
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**target_text** : The target text of type `String`.
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### Data Splits
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`en-es` : 285,584
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`en-fr` : 614,093
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`en-pt` : 74,300
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## Dataset Creation
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### Curation Rationale
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For details, check the corresponding [pages](https://www.statmt.org/wmt16/biomedical-translation-task.html).
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### Source Data
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<!-- #### Initial Data Collection and Normalization
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ddd -->
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#### Who are the source language producers?
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The shared task as been organized by :
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* Antonio Jimeno Yepes (IBM Research Australia)
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* Aurélie Névéol (LIMSI, CNRS, France)
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* Mariana Neves (Hasso-Plattner Institute, Germany)
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* Karin Verspoor (University of Melbourne, Australia)
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### Personal and Sensitive Information
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The corpora is free of personal or sensitive information.
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## Considerations for Using the Data
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### Other Known Limitations
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The nature of the task introduce a variability in the quality of the target translations.
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## Additional Information
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### Dataset Curators
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__Hugging Face WMT-16-PubMed__: Labrak Yanis, Dufour Richard (Not affiliated with the original corpus)
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__WMT'16 Shared Task: Biomedical Translation Task__:
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* Antonio Jimeno Yepes (IBM Research Australia)
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* Aurélie Névéol (LIMSI, CNRS, France)
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* Mariana Neves (Hasso-Plattner Institute, Germany)
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* Karin Verspoor (University of Melbourne, Australia)
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<!-- ### Licensing Information
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ddd -->
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### Citation Information
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Please cite the following paper when using this dataset.
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```latex
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@inproceedings{bojar-etal-2016-findings,
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title = Findings of the 2016 Conference on Machine Translation,
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author = {
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Bojar, Ondrej and
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Chatterjee, Rajen and
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Federmann, Christian and
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Graham, Yvette and
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Haddow, Barry and
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Huck, Matthias and
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Jimeno Yepes, Antonio and
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Koehn, Philipp and
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Logacheva, Varvara and
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Monz, Christof and
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Negri, Matteo and
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Neveol, Aurelie and
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Neves, Mariana and
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Popel, Martin and
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Post, Matt and
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Rubino, Raphael and
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Scarton, Carolina and
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Specia, Lucia and
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Turchi, Marco and
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Verspoor, Karin and
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Zampieri, Marcos,
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},
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booktitle = Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers,
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month = aug,
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year = 2016,
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address = Berlin, Germany,
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publisher = Association for Computational Linguistics,
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url = https://aclanthology.org/W16-2301,
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doi = 10.18653/v1/W16-2301,
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pages = 131--198,
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}
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```
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