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Kinyarwanda Automatic Speech Recognition Dataset
Dataset Description
This dataset contains a sample from the 500 hours of Kinyarwanda speech data covering Health, Government, Finance, Education, and Agriculture domains, converted from the Kaggle Kinyarwanda ASR Track A competition.
Dataset Details
- Language: Kinyarwanda (rw)
- Task: Automatic Speech Recognition
- Size: ~500 hours of transcribed speech
- Domains: Health, Government, Financial Services, Education, Agriculture
- Format: Audio files with corresponding transcriptions
- Source: Created by Digital Umuganda with Gates Foundation funding
Dataset Structure
# example usage
from datasets import load_dataset
dataset = load_dataset("badrex/kinyarwanda-speech-sample")
Use Cases
- training ASR models for Kinyarwanda
- fine-tuning existing speech recognition models (e.g., Whisper)
- research in low-resource speech recognition
- building voice applications for Kinyarwanda speakers
License
The dataset is available under Creative Commons Attribution 4.0 (CC BY 4.0) license.
Citation
@misc{kinyarwanda_asr_track_a,
title={Kinyarwanda Automatic Speech Recognition Track A},
author={Digital Umuganda},
year={2025},
url={https://www.kaggle.com/competitions/kinyarwanda-automatic-speech-recognition-track-a}
}
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