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GAND Dataset: Gender-Ambiguous Natural Data

Janica Hackenbuchner (UGent) , Jasper Degraeuwe (UGent) , Arda Tezcan (UGent) and Joke Daems (UGent)
(2026)
Author
Organization
Project
Abstract
GAND (Gender-Ambiguous Natural Data) dataset, a benchmarking resource for evaluating gender in machine translation.
Keywords
gender ambiguity, natural data, machine translation, natural language processing, contrastive translation
License
LicenseNotListed
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ODC-BY-1.0
Access
open access

Citation

Please use this url to cite or link to this publication: 

@misc{01KS50MTJWDC5HX2TAWWXWJAHF,
  abstract     = {{GAND (Gender-Ambiguous Natural Data) dataset, a benchmarking resource for evaluating gender in machine translation.}},
  author       = {{Hackenbuchner, Janica and Degraeuwe, Jasper and Tezcan, Arda and Daems, Joke}},
  keywords     = {{gender ambiguity,natural data,machine translation,natural language processing,contrastive translation}},
  publisher    = {{Zenodo}},
  title        = {{GAND Dataset: Gender-Ambiguous Natural Data}},
  url          = {{http://doi.org/10.5281/ZENODO.20324374}},
  year         = {{2026}},
}
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