Update README.md

README.md

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+---
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+🧠 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