aranemini/northern-kurdish-fleurs

FLEURS-Kobani: Northern Kurdish Speech Benchmark

📌 Description

FLEURS-Kobani is a speech dataset for Northern Kurdish (Kurmanji, ISO 639-3: KMR), designed as an extension of the FLEURS benchmark.

• Automatic Speech Recognition (ASR)
• Speech-to-Text Translation (S2TT)
• Speech-to-Speech Translation (S2ST)

---

Dataset Summary

• Language: Northern Kurdish (Kurmanji, KMR)
• Total utterances: 5,162
• Total duration: 18h 24m
• Speakers: 31 native speakers
  • 26 female
  • 5 male

---

Data Structure

Each sample contains:

• audio: path to WAV audio file
• kurdish: transcription in Northern Kurdish
• english: corresponding English sentence (from FLORES)
• speaker_id: anonymized (hashed) speaker identifier
• part: dataset split (train, dev, test)

Extract dataset in wav form

from datasets import load_dataset
import soundfile as sf
from pathlib import Path
import csv


repo_id = "aranemini/northern-kurdish-fleurs"
output_dir = Path("fleurs-kobani")

wav_dir = output_dir / "wav"
wav_dir.mkdir(parents=True, exist_ok=True)

metadata_file = output_dir / "metadata.tsv"

ds = load_dataset(repo_id)

with open(metadata_file, "w", newline="", encoding="utf-8") as f:
    writer = csv.writer(f, delimiter="\t")

    # header
    writer.writerow(["audio", "english", "kurdish", "speaker_id", "part"])

    for split_name, split in ds.items():
        for i, example in enumerate(split):

            audio = example["audio"]

            filename = f"{split_name}_{i:06d}.wav"
            filepath = wav_dir / filename

            sf.write(filepath, audio["array"], audio["sampling_rate"])

            writer.writerow([
                f"wav/{filename}",
                example.get("english", ""),
                example.get("kurdish", ""),
                example.get("speaker_id", ""),
                split_name
            ])

Citation

If you use this dataset, please cite our work:

@inproceedings{jaff2026fleurs_kobani,
  title = {FLEURS-Kobani: Extending the FLEURS Dataset for Northern Kurdish},
  author = {Jaff, Daban Q. and Mohammadamini, Mohammad},
  booktitle = {DialRes-LREC},
  year = {2026}
}