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SEACrowd/sap_wat

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Use restrictions

The declared licence (cc-by-nc-4.0) is classified as having use restrictions.

Declared licence
cc-by-nc-4.0, from the tagEvidence: README.md at 4d1d4b3
Licence files
LICENSE, detected as cc-by-nc-4.0Evidence: LICENSE at 4d1d4b3
Declared sources
None listed in the card metadata
Access gated on Hugging Face
No
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Citation text from the card

@inproceedings{buschbeck-exel-2020-parallel,
    title = "A Parallel Evaluation Data Set of Software Documentation with Document Structure Annotation",
    author = "Buschbeck, Bianka  and
      Exel, Miriam",
    editor = "Nakazawa, Toshiaki  and
      Nakayama, Hideki  and
      Ding, Chenchen  and
      Dabre, Raj  and
      Kunchukuttan, Anoop  and
      Pa, Win Pa  and
      Bojar, Ond{{r}}ej  and
      Parida, Shantipriya  and
      Goto, Isao  and
      Mino, Hidaya  and
      Manabe, Hiroshi  and
      Sudoh, Katsuhito  and
      Kurohashi, Sadao  and
      Bhattacharyya, Pushpak",
    booktitle = "Proceedings of the 7th Workshop on Asian Translation",
    month = dec,
    year = "2020",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.wat-1.20",
    pages = "160--169",
    abstract = "This paper accompanies the software documentation data set for machine translation, a parallel 
    evaluation data set of data originating from the SAP Help Portal, that we released to the machine translation 
    community for research purposes. It offers the possibility to tune and evaluate machine translation systems 
    in the domain of corporate software documentation and contributes to the availability of a wider range of 
    evaluation scenarios. The data set comprises of the language pairs English to Hindi, Indonesian, Malay and 
    Thai, and thus also increases the test coverage for the man

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dataset_licence({ "id": "SEACrowd/sap_wat" })
signal: "restrictive"
stated_licence: "cc-by-nc-4.0"
sources: 0