arXiv — NLP / Computation & Language · · 3 min read

CzechDocs: A Multiway Parallel Dataset of Formatted Documents for Minority Languages in Czechia

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Computer Science > Computation and Language

arXiv:2606.20212 (cs)
[Submitted on 18 Jun 2026]

Title:CzechDocs: A Multiway Parallel Dataset of Formatted Documents for Minority Languages in Czechia

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Abstract:We present CzechDocs, a multiway parallel dataset of formatted documents (HTML, DOCX, and PDF) covering Czech and minority languages used in Czechia-primarily Ukrainian and English, with smaller portions of Vietnamese, Russian and other languages. The dataset is designed to support the evaluation of machine translation systems that aim to preserve document formatting during translation. We provide a comparison of the most common approaches to format-preserving machine translation on a validation subset of the dataset. This validation split, together with the evaluation toolkit, is publicly released for further research. A held-out test split will be reserved for a future shared task focused on document-level translation with formatting preservation.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2606.20212 [cs.CL]
  (or arXiv:2606.20212v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2606.20212
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Josef Jon [view email]
[v1] Thu, 18 Jun 2026 13:23:58 UTC (30 KB)
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