LVMED: Dataset of Latvian text normalisation samples for the medical domain

  Autori

Lasmanis, Viesturs Jūlijs and Grūzītis, Normunds

  Vienuma identifikators

http://hdl.handle.net/20.500.12574/85

 Projekta URL

https://gitlab.com/ailab/lvmed

 Demonstrācijas URL

https://huggingface.co/AiLab-IMCS-UL/lvmed

 Izdošanas datums

2023-05

 Tips

corpus, text

 Lielums

79834 sentences

 Valoda(-s)

Latvian

 Apraksts

The CSV dataset contains sentence pairs for a text-to-text transformation task: given a sentence that contains 0..n abbreviations, rewrite (normalize) the sentence in full words (word forms). Training dataset: 64,665 sentence pairs Validation dataset: 7,185 sentence pairs. Testing dataset: 7,984 sentence pairs. All sentences are extracted from a public web corpus (https://korpuss.lv/id/Tīmeklis2020) and contain at least one medical term.

 Izdevējs

AiLab IMCS UL

 Atbalsts

Recovery and Resilience Facility (RRF)

Projekta kods: 2.3.1.1.i.0/1/22/I/CFLA/002

Projekta nosaukums: Language Technology Initiative

 Tēma(-s)

medical domain text normalization

 Kolekcija (s)

Language resources and tools of AiLab IMCS UL

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