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SEACrowd/gnome

73 downloads in 30 days0 likesLast modified 24 Jun 2024View on Hugging Face
Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence
unknown, from the tagEvidence: README.md at 5b08b8d
Licence files
LICENSE, licence not identifiedEvidence: LICENSE at 5b08b8d
Declared sources
None listed in the card metadata
Access gated on Hugging Face
No
Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

Citation text from the card

If you are using the **Gnome** dataloader in your work, please cite the following:
```
\
@inproceedings{tiedemann-2012-parallel,
    title = "Parallel Data, Tools and Interfaces in {OPUS}",
    author = {Tiedemann, J{\"o}rg},
    editor = "Calzolari, Nicoletta  and
        Choukri, Khalid  and
        Declerck, Thierry  and
        Do{\u{g}}an, Mehmet U{\u{g}}ur  and
        Maegaard, Bente  and
        Mariani, Joseph  and
        Moreno, Asuncion  and
        Odijk, Jan  and
        Piperidis, Stelios",
    booktitle = "Proceedings of the Eighth International Conference on Language
    Resources and Evaluation ({LREC}'12)",
    month = may,
    year = "2012",
    address = "Istanbul, Turkey",
    publisher = "European Language Resources Association (ELRA)",
    url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
    pages = "2214--2218",
    abstract = "This paper presents the current status of OPUS, a growing
    language resource of parallel corpora and related tools. The focus in OPUS
    is to provide freely available data sets in various formats together with
    basic annotation to be useful for applications in computational linguistics,
    translation studies and cross-linguistic corpus studies. In this paper, we
    report about new data sets and their features, additional annotation tools
    and models provided from the website and essential interfaces and on-line
    services included in the project.",
}


@article{lovenia2024seacrowd,
    t

The same facts for your agent

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dataset_licence({ "id": "SEACrowd/gnome" })
signal: "unclear"
stated_licence: "unknown"
sources: 0