eitb_parcc / README.md
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metadata
annotations_creators:
  - found
language_creators:
  - found
language:
  - es
  - eu
license: cc-by-nc-sa-4.0
multilinguality:
  - multilingual
size_categories:
  - 100K<n<1M
source_datasets:
  - original
task_categories:
  - translation
task_ids: []
paperswithcode_id: eitb-parcc
pretty_name: EiTB-ParCC
dataset_info:
  config_name: es-eu
  features:
    - name: translation
      dtype:
        translation:
          languages:
            - es
            - eu
  splits:
    - name: train
      num_bytes: 139038886
      num_examples: 637183
  download_size: 96930125
  dataset_size: 139038886
configs:
  - config_name: es-eu
    data_files:
      - split: train
        path: es-eu/train-*
    default: true

Dataset Card for EiTB-ParCC

Table of Contents

Dataset Description

Dataset Summary

EiTB-ParCC: Parallel Corpus of Comparable News. A Basque-Spanish parallel corpus provided by Vicomtech (https://www.vicomtech.org), extracted from comparable news produced by the Basque public broadcasting group Euskal Irrati Telebista.

Supported Tasks and Leaderboards

Translation.

Languages

The languages in the dataset are:

  • Spanish (es)
  • Basque (eu)

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

The corpus is distributed under the Creative Commons BY-NC-SA 4.0 license.

Citation Information

If you use any part of this corpus in your own work, please cite the following:

@inproceedings{etchegoyhen-gete-2020-handle,
    title = "Handle with Care: A Case Study in Comparable Corpora Exploitation for Neural Machine Translation",
    author = "Etchegoyhen, Thierry  and
      Gete, Harritxu",
    editor = "Calzolari, Nicoletta  and
      B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Blache, Philippe  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Isahara, Hitoshi  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Mazo, H{\'e}l{\`e}ne  and
      Moreno, Asuncion  and
      Odijk, Jan  and
      Piperidis, Stelios",
    booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.lrec-1.469",
    pages = "3799--3807",
    language = "English",
    ISBN = "979-10-95546-34-4",
}
@InProceedings{TIEDEMANN12.463,
  author = {J{\"o}rg Tiedemann},
  title = {Parallel Data, Tools and Interfaces in OPUS},
  booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
  year = {2012},
  month = {may},
  date = {23-25},
  address = {Istanbul, Turkey},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-7-7},
  language = {english}
 }

Contributions

Thanks to @patil-suraj for adding this dataset.