metadata

license: other
license_name: mixed
license_link: LICENSE
task_categories:
  - summarization
pretty_name: SumeCzech
language:
  - cs

Dataset Card for Dataset Name

This is a downsampled version of the SumeCzech summarization dataset. The train, dev, and test sets each have 1500 samples.

Original SumeCzech is a 1-million-document dataset of Czech news, each consisting of:

headline;
abstract (visually distinguished first paragraph);
rest of the text.

developed by https://ufal.mff.cuni.cz

Citation

If you use this resource, please cite the following work:

@inproceedings{straka-etal-2018-sumeczech,
    title = "{S}ume{C}zech: Large {C}zech News-Based Summarization Dataset",
    author = "Straka, Milan  and
      Mediankin, Nikita  and
      Kocmi, Tom  and
      {\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k  and
      Hude{\v{c}}ek, Vojt{\v{e}}ch  and
      Haji{\v{c}}, Jan",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Cieri, Christopher  and
      Declerck, Thierry  and
      Goggi, Sara  and
      Hasida, Koiti  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  and
      Tokunaga, Takenobu",
    booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation ({LREC} 2018)",
    month = may,
    year = "2018",
    address = "Miyazaki, Japan",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://aclanthology.org/L18-1551",
}

Licensing Information

This dataset is collected by downloading specific webpages of Czech News outlets from CommonCrawl (CC). Please refer to CC Terms of Use for specific details. The scripts used to extract the dataset are published under MPL 2.0. Members of CZLC does not own the copyright of the news contents (headlines, abstracts, and contents) included in SumeCzech. We are not responsible for their content or meaning.

Dataset Details

Dataset Description

Language(s) (NLP): Czech
License: code for download and eval Mozilla Public License 2.0, data not-for-distribution

Dataset Sources [optional]

Repository: https://lindat.mff.cuni.cz/repository/xmlui/handle/11234/1-2615
Repository: home https://ufal.mff.cuni.cz/sumeczech