Loading datasets...
Release Date: 10/12/2026
Format: MP3, TSV
Size: 214.61 MB
Approximately 6.7 hours of read speech in Hausa (hau): 4,986 utterances covering the sentence set of the Gamayun Hausa–English mini-kit (kit5k), recorded in 2021 by paid voice talent on mobile phones or desktop computers so that the audio matches real-world usage. Every clip is accompanied by its English source sentence and the Hausa text that was read. Production and QA were carried out by CLEAR Global.
Licensing
Creative Commons Attribution Non Commercial 4.0 International (CC-BY-NC-4.0)
https://spdx.org/licenses/CC-BY-NC-4.0.htmlRestrictions/Special Constraints
Non-commercial use only. Attribution to CLEAR Global required.
Forbidden Usage
Commercial use without permission from CLEAR Global. Misrepresentation of source or attribution. Redistribution without CC BY-NC 4.0 terms and attribution. Attempting to identify individual speakers in the dataset.
Ethical Review
Recordings made with paid, consenting voice talent. No personal or identifying data included. It is forbidden to attempt to identify individual speakers.
Intended Use
Training and evaluation of automatic speech recognition systems for Hausa.
This audio corpus is the spoken counterpart of the Hausa–English mini-kit from CLEAR Global's Gamayun Language Data Kits. No speaker or gender metadata exists for these recordings. The Hausa text kit is available as CLEAR-Global/Gamayun-kits (see the Hausa text release on the Mozilla Data Collective). Published on Hugging Face as CLEAR-Global/Gamayun-hausa-voice-minikit.
If you use this data, please cite Gamayun – Language Technology for Humanitarian Response:
@inproceedings{oktem2020gamayun,
title = {Gamayun -- Language Technology for Humanitarian Response},
author = {Öktem, Alp and Albayk Jaam, Muhannad and DeLuca, Eric and Tang, Grace},
booktitle = {2020 IEEE Global Humanitarian Technology Conference (GHTC)},
year = {2020},
address = {Virtual},
month = {October 29 -- November 1}
}
The recordings were made by paid and consenting voice talent under CLEAR Global's (formerly Translators without Borders') voice recording process. Speakers are not identified in this release; no personal or identifying data is included. It is forbidden to attempt to identify individual speakers in this dataset. This dataset is provided "as is" for research and educational purposes. For commercial licensing, contact CLEAR Global.
Please check README.md for more information.