FLEURS-Kobani: Extending FLEURS dataset for Northern Kurdish

Daban Q. Jaff, Mohammad Mohammadamini


Abstract
We present FLEURS-Kobani, a Northern Kurdish (ISO 639-3 KMR) spoken extension of FLEURS benchmark. Although FLEURS offers n-way parallel speech for 100+ languages, Northern Kurdish is absent, limits benchmarking automatic speech recognition and speech translation tasks for this language. The FLEURS-Kobani dataset consists of 5,162 validated utterances, totaling 18 hours and 24 minutes. As baselines, we fine-tuned Whisper v3-large for ASR and E2E S2TT. A two-stage fine-tuning strategy (Common Voice→FLEURS-Kobani) yields the best ASR performance (WER 28.11, CER 9.84 on test). For end-to-end S2TT (KMR→EN), Whisper achieves 8.68 BLEU on test; we additionally report pivot-derived targets and a cascaded S2TT setup. FLEURS-Kobani provides the first Northern Kurdish public benchmark for evaluation of ASR, S2TT and S2ST tasks. The data can be accessed (LINK IS BLANK DUE TO REVISION RULES) under CC BY 4.0 license.
Anthology ID:
2026.dialres-1.10
Volume:
Proceedings of the First Workshop on Dialects in NLP — A Resource Perspective
Month:
May
Year:
2026
Address:
Palma de Mallorca
Editors:
Antonis Anastasopoulos, Stella Markantonatou, Angela Ralli, Marcos Zampieri, Stavros Bompolas, Vivian Stamou
Venues:
DialRes | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
104–109
Language:
External URL:
https://lrec.elra.info/lrec2026-ws-dialres-10
DOI:
10.63317/267vdxnysvbe
Bibkey:
Cite (ACL):
Daban Q. Jaff and Mohammad Mohammadamini. 2026. FLEURS-Kobani: Extending FLEURS dataset for Northern Kurdish. In Proceedings of the First Workshop on Dialects in NLP — A Resource Perspective, pages 104–109, Palma de Mallorca. Association for Computational Linguistics.
Cite (Informal):
FLEURS-Kobani: Extending FLEURS dataset for Northern Kurdish (Jaff & Mohammadamini, DialRes 2026)
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