Daksitha Senel Withanage Don
2026
DGS-BIGEKO: A Dataset for Hypothetical Emergency Scenarios in German Sign Language
Cristina Luna Jimenez | Lennart Eing | Daksitha Senel Withanage Don | Marco González | Fabrizio Nunnari | Pamela Perniss | Patrick Gebhard | Elisabeth Andre
Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion
Cristina Luna Jimenez | Lennart Eing | Daksitha Senel Withanage Don | Marco González | Fabrizio Nunnari | Pamela Perniss | Patrick Gebhard | Elisabeth Andre
Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion
In this article, we describe DGS-BIGEKO, a sign language dataset containing a conversation in a crisis scenario signed by a professional interpreter in German Sign Language (DGS). The dataset comprises 14 sentences with common questions and answers from protocols occurring in emergency call scenarios translated into DGS. Additionally, the dataset contains signs for an additional 108 concepts that are relevant to emergency call scenarios. The dataset is intended to support research in sign language linguistics and sign language machine translation by providing resources in a very specific domain, where no previous resources are available in DGS. The dataset is freely available for research purposes at the following address: https://doi.org/10.5281/zenodo.18458557