---
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: sentence
    dtype: string
  - name: client_id
    dtype: string
  - name: age
    dtype: string
  - name: gender
    dtype: string
  - name: accent
    dtype: string
  - name: locale
    dtype: string
  - name: source_path
    dtype: string
  splits:
  - name: train
    num_bytes: 275284152
    num_examples: 1500
  download_size: 263378447
  dataset_size: 275284152
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: cc0-1.0
task_categories:
- automatic-speech-recognition
language:
- sw
tags:
- swahili
- speech
- kenyan
- audio
- common-voice
- automatic-speech-recognition
pretty_name: 'Common Voice 17.0 (Swahili, Kenyan Sample) '
size_categories:
- 1K<n<10K
---

# Common Voice 17.0 — Swahili (Kenyan Sample)

This dataset is a **filtered sample** of the [Mozilla Common Voice 17.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_17_0) corpus, focusing on **Swahili (sw)** speech with **Kenyan voices**.

It has been subsetted for experimentation and prototyping in **ASR (Automatic Speech Recognition)** models targeting **speech-impaired users** in Kenya, covering **Kenyan English** and **Kiswahili**.

---

## Dataset Summary

- **Language**: Kiswahili (Swahili, `sw`)
- **Accent/Region**: Kenyan speakers
- **Domain**: Conversational, general-purpose
- **Source**: Mozilla Common Voice v17.0
- **License**: CC0 1.0 (public domain)

This dataset contains audio files and their corresponding transcriptions.  
Each entry includes:
- `audio`: Audio array & path
- `sentence`: Transcription text
- `gender`, `age`, `accent` (where available)

---

## Intended Use

This sample dataset is intended for:
- Training and fine-tuning **speech-to-text (ASR)** systems for Kiswahili
- Research on **Kenyan accents** in speech technology
- Prototyping models for **speech accessibility tools**

It is **not a full dataset**, but a filtered subset suitable for testing and demonstrations.

---

## Usage Example

```python
from datasets import load_dataset

# Load dataset (requires auth if private)
ds = load_dataset("Veronica1NW/cv17_sw_kenyan_sample", use_auth_token=True)

print(ds)
print(ds["train"][0])

@misc{commonvoice,
  title = {Mozilla Common Voice},
  howpublished = {https://commonvoice.mozilla.org},
  year = {2017--2025}
}