---
license: cc-by-4.0
language:
- zu
- en
size_categories:
- 1K<n<10K
---

🧠 MetaWell Code-Switching Dataset

The MetaWell Code-Switching Dataset is the first large-scale African dataset built for training and evaluating code-switching between isiZulu and English.

It contains paired audio + text examples representing natural language use in South African daily life, media, and conversation. The dataset enables development of speech-to-text, translation, and language understanding models for African multilingual environments.

📊 Dataset Structure
Language	Samples	Type	Content
isiZulu	~1 000	Text + Audio	Native isiZulu speech and transcripts
English	~1 000	Text + Audio	Native English speech and transcripts
Code-Switched (Zulu-English)	~400	Text + Audio	Mixed-language examples

Each entry includes:

text/ transcript

audio/ recording (.wav)

metadata (language, speaker, emotion, tone, etc.)

⚙️ Intended Use

Code-switching recognition and translation

African-language speech recognition

Multilingual chatbots and assistants

AI education and research in Africa

📂 File Organization
MetaWell_AI_Dataset/
├── text/
│   ├── zulu/
│   ├── english/
│   └── codeswitch/
├── audio/
│   ├── zulu/
│   ├── english/
│   └── codeswitch/
└── metadata.csv

🏷️ License

CC-BY 4.0 — You may use, share, or adapt this dataset with attribution to MetaWell AI.

🧩 Citation

If you use this dataset, please cite:

@dataset{moremoholo_metawell_2025,
  title     = {MetaWell Code-Switching Dataset (Zulu–English)},
  author    = {Moremoholo, Thabo},
  year      = {2025},
  url       = {https://huggingface.co/metawell-ai/metawell_codeswitch_dataset}
}

🌍 About MetaWell AI

MetaWell AI is an African AI initiative focused on bridging human and machine communication through multilingual, code-switching, and culturally aware models.

Homepage: https://meta-vault-1daccafc.base44.app

Contact: thabo1.moremoholo@gmail.com