Datasets:

qanastek
/

WMT-16-PubMed

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-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 DELETED Viewed

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

@@ -1,229 +0,0 @@
----
-annotations_creators:
-- machine-generated
-- expert-generated
-language_creators:
-- found
-language:
-- bg
-- cs
-- da
-- de
-- el
-- en
-- es
-- et
-- fi
-- fr
-- hu
-- it
-- lt
-- lv
-- mt
-- nl
-- pl
-- pt
-- ro
-- sk
-- sl
-- sv
-multilinguality:
-- multilingual
-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,
-}
-```

WMT-16-PubMed.py DELETED Viewed

@@ -1,149 +0,0 @@
-# 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 gzip
-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']
-_LANGUAGE_PAIRS_TUPLES = [('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_CONFIG(datasets.BuilderConfig):
-    def __init__(self, *args, lang1=None, lang2=None, **kwargs):
-        super().__init__(
-            *args,
-            name=f"{lang1}-{lang2}",
-            **kwargs,
-        )
-        self.name = f"{lang1}-{lang2}"
-        self.lang1 = lang1
-        self.lang2 = lang2
-class WMT_16_PubMed(datasets.GeneratorBasedBuilder):
-    """WMT-16-PubMed dataset."""
-    DEFAULT_CONFIG_NAME = "en-fr"
-    BUILDER_CONFIGS = [
-        WMT_16_CONFIG(
-            lang1=lang1,
-            lang2=lang2,
-            description=f"Translating {lang1} to {lang2} or vice versa",
-            version=datasets.Version("16.0.0"),
-        )
-        for lang1, lang2 in _LANGUAGE_PAIRS_TUPLES
-    ]
-    BUILDER_CONFIG_CLASS = WMT_16_CONFIG
-    # BUILDER_CONFIGS = [
-    #     datasets.BuilderConfig(name=name, version=datasets.Version("16.0.0"), description=_DESCRIPTION) for name in _LANGUAGE_PAIRS
-    # ]
-    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
-        with open(filepath, 'rb') as fd:
-            gzip_fd = gzip.GzipFile(fileobj=fd)
-            df = pd.read_csv(gzip_fd)
-        # df = pd.read_csv(filepath, compression='gzip', header=0, sep=',')
-        for index, row in df.loc[df['lang'] == self.config.name].iterrows():
-            # 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

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+size 7639538

requirements.txt DELETED Viewed

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