README.md

---
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](https://www.kaggle.com/competitions/kinyarwanda-automatic-speech-recognition-track-a).

## 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

```python
# 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

```bibtex
@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}
}
```