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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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language: |
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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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multilinguality: |
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- multilingual |
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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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task_ids: [] |
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pretty_name: WMT-16-PubMed |
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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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