@inproceedings{enevoldsen-etal-2026-dynaword,
    title = "Dynaword: From One-shot to Continuously Developed Datasets",
    author = "Enevoldsen, Kenneth  and
      Jensen, Kristian N{\o}rgaard  and
      Kostkan, Jan  and
      Szab{\'o}, Bal{\'a}zs  and
      Kardos, M{\'a}rton  and
      Vad, Kirsten  and
      Heinsen, Johan  and
      Blasi N{\'u}{\~n}ez, Andrea  and
      Barmina, Gianluca  and
      Nielsen, Jacob  and
      Larsen, Rasmus  and
      van der Goot, Rob  and
      Vahlstrup, Peter  and
      Dalum, Per M{\o}ldrup  and
      Elliott, Desmond  and
      Galke Poech, Lukas  and
      Schneider-Kamp, Peter  and
      Nielbo, Kristoffer",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/ingest-lrec/2026.lrec-1.301/",
    doi = "10.63317/4x9cdkge22vb",
    pages = "3782--3793",
    abstract = "Large-scale datasets are foundational for research and development in natural language processing. However, current approaches face three key challenges: (1) reliance on ambiguously licensed sources restricting use, sharing, and derivative works; (2) static dataset releases that prevent community contributions and diminish longevity; and (3) quality assurance processes restricted to publishing teams rather than leveraging community expertise. To address these limitations, we introduce two contributions: the Dynaword approach and Danish Dynaword. The Dynaword approach is a framework for creating large-scale, open datasets that can be continuously updated through community collaboration. Danish Dynaword is a concrete implementation that validates this approach and demonstrates its potential. Danish Dynaword contains over five times as many tokens as comparable releases, is exclusively openly licensed, and has received multiple contributions across industry, the public sector and research institutions. The repository includes light-weight tests to ensure data formatting, quality, and documentation, establishing a sustainable framework for ongoing community contributions and dataset evolution."
}