Veronica1NW/cv17_sw_kenyan_sample

Common Voice 17.0 — Swahili (Kenyan Sample)

This dataset is a filtered sample of the Mozilla 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.

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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)

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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.

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Usage Example

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}
}