amn-raw/nigerian-asr-dataset

NaijaVox ASR Dataset

An ASR dataset for four Nigerian languages — Hausa, Igbo, Yoruba, and Nigerian Pidgin — sourced from Google's Waxal corpus. Built to train and evaluate automatic speech recognition models for Nigerian languages.

Configs

Config	Language	Train	Validation	Test	Total
ha	Hausa	1655	296	20	1971
ig	Igbo	1604	287	20	1911
yo	Yoruba	2192	392	27	2611
pcm	Nigerian Pidgin	1674	299	20	1993

Splits: train 84% / validation 15% / test 1% (shuffled with seed 42).

Data fields

• id: unique identifier
• speaker_id: speaker identifier
• audio: audio dict (array, sampling_rate)
• transcription: transcript of the audio
• language: language code (ha, ig, yo, pcm)
• gender: speaker gender

How to use

from datasets import load_dataset

ds = load_dataset("amn-raw/nigerian-asr-dataset", "ha")   # or ig / yo / pcm
train = ds["train"]

example = train[0]
print(example["transcription"])
print(example["audio"]["sampling_rate"])

License

Sourced from Google's Waxal corpus, licensed under CC-BY-SA-4.0. The same license applies to this dataset.

Citation

@article{waxal2026,
  title={WAXAL: A Large-Scale Multilingual African Language Speech Corpus},
  author={Diack, Abdoulaye and Nelson, Perry and Agbesi, Kwaku and Nakalembe, Angela and MohamedKhair, MohamedElfatih and Dube, Vusumuzi and Siyavora, Tavonga and Venugopalan, Subhashini and Hickey, Jason and Okonkwo, Uche and Bapna, Abhishek and Wiafe, Isaac and Helegah, Raynard Dodzi and Atsakpo, Elikem Doe and Nutrokpor, Charles and Winful, Fiifi Baffoe Payin and Solaga, Kafui Kwashie and Abdulai, Jamal-Deen and Ekpezu, Akon Obu and Niyonkuru, Audace and Rutunda, Samuel and Ishimwe, Boris and Melese, Michael and Bainomugisha, Engineer and Nakatumba-Nabende, Joyce and Katumba, Andrew and Babirye, Claire and Mukiibi, Jonathan and Kimani, Vincent and Kibacia, Samuel and Maina, James and Emmah, Fridah and Shekarau, Ahmed Ibrahim and Adamu, Ibrahim Shehu and Abdullahi, Yusuf and Lakougna, Howard and MacDonald, Bob and Shemtov, Hadar and Walcott-Bryant, Aisha and Cisse, Moustapha and Hassidim, Avinatan and Dean, Jeff and Matias, Yossi},
  journal={arXiv preprint arXiv:2602.02734},
  year={2026}
}