@article{yan-etal-2026-cs,
    title = "{CS}-{YODAS}: A Mined Dataset of In-the-Wild Code-Switched Speech",
    author = "Yan, Brian  and
      Wang, Qingzheng  and
      Wiesner, Matthew  and
      Diwan, Anuj  and
      Iakovenko, Olga  and
      Polok, Alex  and
      Hamed, Injy  and
      Shimizu, Shuichiro  and
      Emerman, Iris  and
      Hain, Thomas  and
      Mortensen, David R.  and
      Viechnicki, Peter  and
      Watanabe, Shinji",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    journal = "International Conference on Language Resources and Evaluation",
    volume = "main",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.456/",
    pages = "5776--5784",
    abstract = "We present CS-YODAS, a Creative Commons dataset of in-the-wild code-switched speech mined from multilingual YouTube data. Code-switching, or the alternation between languages within an utterance or conversation, is common in multilingual settings but remains underrepresented in existing CS speech resources, which are typically small, domain-specific, or artificially constructed. Building on the YODAS corpus, we develop a scalable, human-in-the-loop pipeline for identifying and validating naturally occurring code-switching. The resulting dataset, which totals 313 hrs and spans 7 matrix languages, provides diverse, real-world examples of spontaneous code-switched speech. We further analyze the distribution and characteristics of code-switching in the wild, examining language-pair frequencies and switching patterns, and report baseline results for spoken language identification. We hope that CS-YODAS will encourage broader and more comprehensive research on code-switched speech. Dataset link: https://huggingface.co/datasets/byan/cs-yodas."
}