FLEURS-Kobani: Extending FLEURS dataset for Northern Kurdish

FLEURS offers n-way parallel speech for 100+ languages, but Northern Kurdish is not one of them, which limits benchmarking for automatic speech recognition and speech translation tasks in this language.We present FLEURS-Kobani, a Northern Kurdish (ISO 639-3 KMR) spoken extension of the FLEURS benchmark.The FLEURS-Kobani dataset consists of 5,162 validated utterances, totaling 18 hours and 24 minutes.The data were recorded by 31 native speakers.It extends benchmark coverage to an under-resourced Kurdish variety.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 E2E 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 public Northern Kurdish benchmark for evaluation of ASR, S2TT and S2ST tasks.The dataset is publicly released for research use under a CC BY 4.0 license.