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
Abstract
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- Anthology ID:
- 2026.signlang-1.32
- Volume:
- Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion
- Month:
- May
- Year:
- 2026
- Address:
- Palma, Mallorca (Spain)
- Editors:
- Eleni Efthimiou, Stavroula-Evita Fotinea, Thomas Hanke, Julie A. Hochgesang, Johanna Mesch, Marc Schulder
- Venues:
- SignLang | WS
- SIG:
- Publisher:
- ELRA Language Resources Association (ELRA)
- Note:
- Pages:
- 306–314
- Language:
- External URL:
- https://lrec.elra.info/lrec2026-ws-signlang-32
- DOI:
- 10.63317/2kkcv47dtm53
- Cite (ACL):
- Cristina Luna Jimenez, Lennart Eing, Daksitha Senel Withanage Don, Marco González, Fabrizio Nunnari, Pamela Perniss, Patrick Gebhard, and Elisabeth Andre. 2026. DGS-BIGEKO: A Dataset for Hypothetical Emergency Scenarios in German Sign Language. In Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion, pages 306–314, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).
- Cite (Informal):
- DGS-BIGEKO: A Dataset for Hypothetical Emergency Scenarios in German Sign Language (Luna Jimenez et al., SignLang 2026)