Update

CITATION.cff

@@ -0,0 +1,45 @@
+cff-version: 1.0.0
+message: "Findings of the 2016 Conference on Machine Translation"
+authors:
+- family-names: "Ondřej"
+  given-names: "Bojar"
+- family-names: "Rajen"
+  given-names: "Chatterjee"
+- family-names: "Christian"
+  given-names: "Federmann"
+- family-names: "Yvette"
+  given-names: "Graham"
+- family-names: "Barry"
+  given-names: "Haddow"
+- family-names: "Matthias"
+  given-names: "Huck"
+- family-names: "Antonio"
+  given-names: "Jimeno Yepes"
+- family-names: "Philipp"
+  given-names: "Koehn"
+- family-names: "Varvara"
+  given-names: "Logacheva"
+- family-names: "Christof"
+  given-names: "Monz"
+- family-names: "Matteo"
+  given-names: "Negri"
+- family-names: "Aurélie"
+  given-names: "Névéol"
+- family-names: "Mariana"
+  given-names: "Neves"
+- family-names: "Martin"
+  given-names: "Popel"
+- family-names: "Matt"
+  given-names: "Post"
+- family-names: "Raphael"
+  given-names: "Rubino"
+- family-names: "Carolina"
+  given-names: "Scarton"
+- family-names: "Lucia"
+  given-names: "Specia"
+- family-names: "Marco"
+  given-names: "Turchi"
+title: "Findings of the 2016 Conference on Machine Translation"
+version: 16.0.0
+date-released: 2016-08-01
+url: "https://aclanthology.org/W16-2301/"

LICENSE

@@ -0,0 +1,395 @@
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README.md

@@ -1,3 +1,229 @@
 ---
-license: cc-by-4.0
+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
+task_ids:
+- 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@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
+
+__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,
+}
+```

WMT-16-PubMed.py

@@ -0,0 +1,121 @@
+# coding=utf-8
+# Source: https://github.com/huggingface/datasets/blob/master/templates/new_dataset_script.py
+
+"""WMT'16 Biomedical Translation Task - PubMed parallel datasets"""
+
+import datasets
+import pandas as pd
+
+logger = datasets.logging.get_logger(__name__)
+
+_CITATION = """
+@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,
+}
+"""
+
+_LANGUAGE_PAIRS = ['en-pt', 'en-es', 'en-fr']
+
+_LICENSE = """
+This work is licensed under a <a rel="license" href="https://creativecommons.org/licenses/by/4.0/">Attribution 4.0 International (CC BY 4.0) License</a>.
+"""
+
+_DESCRIPTION = """
+WMT'16 Biomedical Translation Task - PubMed parallel datasets
+http://www.statmt.org/wmt16/biomedical-translation-task.html
+"""
+
+_URL = "https://huggingface.co/datasets/qanastek/WMT-16-PubMed/resolve/main/WMT16.csv.gz"
+
+class WMT_16_PubMed(datasets.GeneratorBasedBuilder):
+    """WMT-16-PubMed dataset."""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name=name, version=datasets.Version("16.0.0"), description="The WMT-16-PubMed corpora") for name in _LANGUAGE_PAIRS
+    ]
+
+    DEFAULT_CONFIG_NAME = "en-fr"
+
+    def _info(self):
+        src, target = self.config.name.split("-")
+        pair = (src, target)
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {"translation": datasets.features.Translation(languages=pair)}
+            ),
+            supervised_keys=(src, target),
+            homepage="https://www.statmt.org/wmt16/biomedical-translation-task.html",
+            citation=_CITATION,
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+
+        # Download the CSV
+        data_dir = dl_manager.download(_URL)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir,
+                    "split": "train",
+                }
+            ),
+        ]
+
+    def _generate_examples(self, filepath, split):
+
+        logger.info("⏳ Generating examples from = %s", filepath)
+
+        key_ = 0
+        
+        df = pd.read_csv(filepath, compression='gzip', header=0, sep=',')
+
+        for index, row in df.loc[df['lang'] == self.config.name].iterrows():
+
+            row = row[1]
+
+            # Get langue pair
+            src, target = str(row['lang']).split("-")
+
+            yield key_, {
+                "translation": {
+                    src: str(row['source_text']).strip(),
+                    target: str(row['target_text']).strip(),
+                },
+            }
+
+            key_ += 1

WMT16.csv.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:200057aed0700f6762373169ae96d62a55bbf357ec41ad2282d51acc417d1540
+size 60558532

requirements.txt

@@ -0,0 +1 @@
+translate-toolkit