Datasets:

badrex
/

kinyarwanda-speech-sample

dataset_info:
  features:
    - name: audio_id
      dtype: string
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
    - name: audio_duration
      dtype: float64
    - name: gender
      dtype: string
    - name: age_group
      dtype: string
    - name: category
      dtype: string
    - name: transcription
      dtype: string
  splits:
    - name: train
      num_bytes: 619664390.46
      num_examples: 1001
    - name: validation
      num_bytes: 613789436.982
      num_examples: 1001
    - name: test
      num_bytes: 616530068.29
      num_examples: 1001
  download_size: 1660776643
  dataset_size: 1849983895.7319999
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
license: cc
task_categories:
  - automatic-speech-recognition
language:
  - rw
size_categories:
  - 1K<n<10K

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}
}