Datasets:
metadata
annotations_creators:
- machine-generated
- expert-generated
language_creators:
- found
languages:
- en
multilinguality:
- bg
- cs
- da
- de
- el
- en
- es
- et
- fi
- fr
- hu
- it
- lt
- lv
- mt
- nl
- pl
- pt
- ro
- sk
- sl
- sv
pretty_name: WMT-16-PubMed
size_categories:
- 100K<n<1M
source_datasets:
- extended
task_categories:
- translation
- machine-translation
task_ids:
- translation
- machine-translation
WMT-16-PubMed : European parallel translation corpus from the European Medicines Agency
Table of Contents
- Dataset Card for [Needs More Information]
Dataset Description
- Homepage: https://www.statmt.org/wmt16/biomedical-translation-task.html
- Repository: https://github.com/biomedical-translation-corpora/corpora
- Paper: https://aclanthology.org/W16-2301/
- Leaderboard: [Needs More Information]
- Point of Contact: Yanis Labrak
Dataset Summary
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.
Supported Tasks and Leaderboards
translation: The dataset can be used to train a model for translation.
Languages
The corpora consists of a pair of source and target sentences for all 4 different languages :
List of languages : English (en),Spanish (es),French (fr),Portuguese (pt).
Load the dataset with HuggingFace
from datasets import load_dataset
dataset = load_dataset("qanastek/WMT-16-PubMed", split='train', download_mode='force_redownload')
print(dataset)
print(dataset[0])
Dataset Structure
Data Instances
lang doc_id workshop publisher source_text target_text
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...
1 en-fr 26837117 WMT'16 Biomedical Translation Task - PubMed pubmed Carabin Les Carabins
2 en-fr 26837116 WMT'16 Biomedical Translation Task - PubMed pubmed In Process Citation Le laboratoire d'Anatomie, Biomécanique et Org...
3 en-fr 26837115 WMT'16 Biomedical Translation Task - PubMed pubmed Comment on the misappropriation of bibliograph... Du détournement des références bibliographique...
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...
... ... ... ... ... ... ...
973972 en-pt 20274330 WMT'16 Biomedical Translation Task - PubMed pubmed Myocardial infarction, diagnosis and treatment Infarto do miocárdio; diagnóstico e tratamento
973973 en-pt 20274329 WMT'16 Biomedical Translation Task - PubMed pubmed The health areas politics A política dos campos de saúde
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...
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 ...
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...
Data Fields
lang : The pair of source and target language of type String.
source_text : The source text of type String.
target_text : The target text of type String.
Data Splits
en-es : 285,584
en-fr : 614,093
en-pt : 74,300
Dataset Creation
Curation Rationale
For details, check the corresponding pages.
Source Data
Who are the source language producers?
The shared task as been organized by :
- Antonio Jimeno Yepes (IBM Research Australia)
- Aurélie Névéol (LIMSI, CNRS, France)
- Mariana Neves (Hasso-Plattner Institute, Germany)
- Karin Verspoor (University of Melbourne, Australia)
Personal and Sensitive Information
The corpora is free of personal or sensitive information.
Considerations for Using the Data
Other Known Limitations
The nature of the task introduce a variability in the quality of the target translations.
Additional Information
Dataset Curators
Hugging Face WMT-16-PubMed: Labrak Yanis, Dufour Richard (Not affiliated with the original corpus)
WMT'16 Shared Task: Biomedical Translation Task:
- Antonio Jimeno Yepes (IBM Research Australia)
- Aurélie Névéol (LIMSI, CNRS, France)
- Mariana Neves (Hasso-Plattner Institute, Germany)
- Karin Verspoor (University of Melbourne, Australia)
Citation Information
Please cite the following paper when using this dataset.
@inproceedings{bojar-etal-2016-findings,
title = Findings of the 2016 Conference on Machine Translation,
author = {
Bojar, Ondrej and
Chatterjee, Rajen and
Federmann, Christian and
Graham, Yvette and
Haddow, Barry and
Huck, Matthias and
Jimeno Yepes, Antonio and
Koehn, Philipp and
Logacheva, Varvara and
Monz, Christof and
Negri, Matteo and
Neveol, Aurelie and
Neves, Mariana and
Popel, Martin and
Post, Matt and
Rubino, Raphael and
Scarton, Carolina and
Specia, Lucia and
Turchi, Marco and
Verspoor, Karin and
Zampieri, Marcos,
},
booktitle = Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers,
month = aug,
year = 2016,
address = Berlin, Germany,
publisher = Association for Computational Linguistics,
url = https://aclanthology.org/W16-2301,
doi = 10.18653/v1/W16-2301,
pages = 131--198,
}