Update README.md

README.md

@@ -1,231 +1,229 @@
----
-annotations_creators:
-- machine-generated
-- expert-generated
-language_creators:
-- found
-languages:
-- en
-licenses:
-- cc-by-4-0
-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-card-for-needs-more-information)
-  - [Table of Contents](#table-of-contents)
-  - [Dataset Description](#dataset-description)
-    - [Dataset Summary](#dataset-summary)
-    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-    - [Languages](#languages)
-  - [Dataset Structure](#dataset-structure)
-    - [Data Instances](#data-instances)
-    - [Data Fields](#data-fields)
-    - [Data Splits](#data-splits)
-  - [Dataset Creation](#dataset-creation)
-    - [Curation Rationale](#curation-rationale)
-    - [Source Data](#source-data)
-      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
-      - [Who are the source language producers?](#who-are-the-source-language-producers)
-    - [Personal and Sensitive Information](#personal-and-sensitive-information)
-  - [Considerations for Using the Data](#considerations-for-using-the-data)
-    - [Other Known Limitations](#other-known-limitations)
-  - [Additional Information](#additional-information)
-    - [Dataset Curators](#dataset-curators)
-    - [Licensing Information](#licensing-information)
-    - [Citation Information](#citation-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](mailto:yanis.labrak@univ-avignon.fr)
-
-
-
-
-
-
-### 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](https://www.statmt.org/wmt16/biomedical-translation-task.html).  
-
-### 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
-
-```python
-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
-
-```plain
-         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](https://www.statmt.org/wmt16/biomedical-translation-task.html).
-
-### Source Data
-
-<!-- #### Initial Data Collection and Normalization
-
-ddd -->
-
-#### 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)
-
-<!-- ### Licensing Information
-
-ddd -->
-
-### Citation Information
-
-Please cite the following paper when using this dataset.
-
-```latex
-@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,
-}
-```
+---
+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-card-for-needs-more-information)
+  - [Table of Contents](#table-of-contents)
+  - [Dataset Description](#dataset-description)
+    - [Dataset Summary](#dataset-summary)
+    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+    - [Languages](#languages)
+  - [Dataset Structure](#dataset-structure)
+    - [Data Instances](#data-instances)
+    - [Data Fields](#data-fields)
+    - [Data Splits](#data-splits)
+  - [Dataset Creation](#dataset-creation)
+    - [Curation Rationale](#curation-rationale)
+    - [Source Data](#source-data)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+    - [Personal and Sensitive Information](#personal-and-sensitive-information)
+  - [Considerations for Using the Data](#considerations-for-using-the-data)
+    - [Other Known Limitations](#other-known-limitations)
+  - [Additional Information](#additional-information)
+    - [Dataset Curators](#dataset-curators)
+    - [Licensing Information](#licensing-information)
+    - [Citation Information](#citation-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](mailto:yanis.labrak@univ-avignon.fr)
+
+
+
+
+
+
+### 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](https://www.statmt.org/wmt16/biomedical-translation-task.html).  
+
+### 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
+
+```python
+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
+
+```plain
+         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](https://www.statmt.org/wmt16/biomedical-translation-task.html).
+
+### Source Data
+
+<!-- #### Initial Data Collection and Normalization
+
+ddd -->
+
+#### 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)
+
+<!-- ### Licensing Information
+
+ddd -->
+
+### Citation Information
+
+Please cite the following paper when using this dataset.
+
+```latex
+@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,
+}
+```