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GAND Dataset: Gender-Ambiguous Natural Data

Publication type
Publication status
Published
Authors
Hackenbuchner, J., Degraeuwe, JRD, Tezcan, A., & Daems, J
Publisher
Zenodo
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(externe link)

Abstract

GAND (Gender-Ambiguous Natural Data) dataset, a benchmarking resource for evaluating gender in machine translation.