metadata

annotations_creators:
  - expert-generated
language_creators:
  - expert-generated
languages:
  - bg
  - cs
  - da
  - de
  - el
  - en
  - es
  - et
  - fi
  - fr
  - ga
  - hu
  - is
  - it
  - lt
  - lv
  - mt
  - nl
  - 'no'
  - pl
  - pt
  - ro
  - sk
  - sl
  - sv
licenses:
  - cc-by-sa-4-0
multilinguality:
  - translation
size_categories:
  - 1K<n<10K
source_datasets:
  - original
task_categories:
  - conditional-text-generation
task_ids:
  - machine-translation

Dataset Card for [Dataset Name]

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

Dataset Description

Homepage: https://ec.europa.eu/jrc/en/language-technologies/ecdc-translation-memory
Paper: https://link.springer.com/article/10.1007/s10579-014-9277-0
Point of Contact: Ralf Steinberger

Dataset Summary

In October 2012, the European Union (EU) agency 'European Centre for Disease Prevention and Control' (ECDC) released a translation memory (TM), i.e. a collection of sentences and their professionally produced translations, in twenty-five languages.

ECDC-TM covers 25 languages: the 23 official languages of the EU plus Norwegian (Norsk) and Icelandic. ECDC-TM was created by translating from English into the following 24 languages: Bulgarian, Czech, Danish, Dutch, English, Estonian, Gaelige (Irish), German, Greek, Finnish, French, Hungarian, Icelandic, Italian, Latvian, Lithuanian, Maltese, Norwegian (NOrsk), Polish, Portuguese, Romanian, Slovak, Slovenian, Spanish and Swedish.

All documents and sentences were originally written in English. They were then translated into the other languages by professional translators from the Translation Centre CdT in Luxembourg.

To load a language pair that is not part of the config, just specify the language code as language pair. For example, if you want to translate Czech to Greek:

dataset = load_dataset("europa_ecdc_tm", language_pair=("cs", "el"))

Supported Tasks and Leaderboards

conditional-text-generation: the dataset can be used to train a model for machine-translation. Machine translation models are usually evaluated using metrics such as BLEU, ROUGE or SacreBLEU. You can use the mBART model for this task. This task has active leaderboards which can be found at https://paperswithcode.com/task/machine-translation, which usually rank models based on BLEU score.

Languages

All documents and sentences were originally written in English (en). They were then translated into the other languages by professional translators from the Translation Centre CdT in Luxembourg.

Translations are available in these languages: en, bg, cs, da, de, el, en, es, et, fi, fr, ga, hu, is, it, lt, lv, mt, nl, no, pl, pt, ro, sk, sl, sv.

Dataset Structure

Data Instances

{
  "translation": {
    "<source_language>":"Sentence to translate",
    "<target_language>": "Translated sentence",
  },
}

Data Fields

translation: a multilingual string variable, with possible languages including en, bg, cs, da, de, el, en, es, et, fi, fr, ga, hu, is, it, lt, lv, mt, nl, no, pl, pt, ro, sk, sl, sv.

Data Splits

The data is not splitted (only the train split is available).

Dataset Creation

Curation Rationale

The ECDC-TM is relatively small compared to the JRC-Acquis and to DGT-TM, but it has the advantage that it focuses on a very different domain, namely that of public health. Also, it includes translation units for the languages Irish (Gaelige, GA), Norwegian (Norsk, NO) and Icelandic (IS).

Source Data

Initial Data Collection and Normalization

ECDC-TM was built on the basis of the website of the European Centre for Disease Prevention and Control (ECDC). The major part of the documents talks about health-related topics (anthrax, botulism, cholera, dengue fever, hepatitis, etc.), but some of the web pages also describe the organisation ECDC (e.g. its organisation, job opportunities) and its activities (e.g. epidemic intelligence, surveillance).

Who are the source language producers?

All documents and sentences were originally written in English, by the ECDC website content producers.

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

All documents and sentences were thus originally written in English. They were then translated into the other languages by professional translators from the Translation Centre CdT in Luxembourg.

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

Contains translations of sentences in the public healthcare domain, including technical terms (disease and treatment names for example).

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

Copyright

The Work (as defined below) is provided under the terms of this Licence (or later versions of this Licence published by the European Commission). The work is protected by copyright and/or other applicable law. Any use of the work other than as authorised under this Licence or copyright law is prohibited.
The terms provided herein conform to the reuse policy established by the Commission's Reuse Decision (2011/833/EU). By exercising any rights to the work provided here, you accept and agree to be bound by the terms of this Licence. The Owner (as defined below) grants You the rights conferred by this Licence in consideration of your acceptance of such terms and conditions.

Definitions

The ‘Owner’ shall mean jointly the European Union represented by the European Commission and the European Centre for Disease Prevention and Control, which are the original licensors and/or control the copyright and any other intellectual and industrial property rights related to the Work. The ‘Work’ is the information and/or data offered to You under this Licence, according to the ‘Copyright Notice’: Copyright (c) EU/ECDC, ‘You’ means the natural or legal person, or body of persons corporate or incorporate, acquiring rights under this Licence. ‘Use’ means any act which is restricted by copyright or database rights, whether in the original medium or in any other medium, and includes, without limitation, distributing, copying, adapting, or modifying as may be technically necessary to use the Work in a different mode or format. It includes ‘re‐Use’, meaning the use, communication to the public and/or distribution of the Works for purposes other than the initial purpose for which the Work was produced.

Rights

You are herewith granted a worldwide, royalty‐free, perpetual, non‐exclusive Licence to Use and re‐Use the Works and any modifications thereof for any commercial and non‐ commercial purpose allowed by the law, provided that the following conditions are met: a) Unmodified distributions must retain the above Copyright Notice; b) Unmodified distributions must retain the following ‘No Warranty’ disclaimer; c) You will not use the name of the Owner to endorse or promote products and services derived from Use of the Work without specific prior written permission.

No warranty

Each Work is provided ‘as is’ without, to the full extent permitted by law, representations, warranties, obligations and liabilities of any kind, either express or implied, including, but not limited to, any implied warranty of merchantability, integration, satisfactory quality and fitness for a particular purpose. Except in the cases of wilful misconduct or damages directly caused to natural persons, the Owner will not be liable for any incidental, consequential, direct or indirect damages, including, but not limited to, the loss of data, lost profits or any other financial loss arising from the use of, or inability to use, the Work even if the Owner has been notified of the possibility of such loss, damages, claims or costs, or for any claim by any third party. The Owner may be liable under national statutory product liability laws as far as such laws apply to the Work.

Citation Information

@Article{Steinberger2014,
        author={Steinberger, Ralf
                and Ebrahim, Mohamed
                and Poulis, Alexandros
                and Carrasco-Benitez, Manuel
                and Schl{\"u}ter, Patrick
                and Przybyszewski, Marek
                and Gilbro, Signe},
        title={An overview of the European Union's highly multilingual parallel corpora},
        journal={Language Resources and Evaluation},
        year={2014},
        month={Dec},
        day={01},
        volume={48},
        number={4},
        pages={679-707},
        issn={1574-0218},
        doi={10.1007/s10579-014-9277-0},
        url={https://doi.org/10.1007/s10579-014-9277-0}
}

Contributions

Thanks to @SBrandeis for adding this dataset.

Datasets:
europa_ecdc_tm

Dataset Card for [Dataset Name]

Table of Contents

Dataset Description

Dataset Summary

Supported Tasks and Leaderboards

Languages

Dataset Structure

Data Instances

Data Fields

Data Splits

Dataset Creation

Curation Rationale

Source Data

Initial Data Collection and Normalization

Who are the source language producers?

Annotations

Annotation process

Who are the annotators?

Personal and Sensitive Information

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

Additional Information

Dataset Curators

Licensing Information

Copyright

Definitions

Rights

No warranty

Citation Information

Contributions