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--- |
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license: cc-by-4.0 |
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language: |
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- zu |
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- en |
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size_categories: |
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- 1K<n<10K |
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--- |
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🧠 MetaWell Code-Switching Dataset |
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The MetaWell Code-Switching Dataset is the first large-scale African dataset built for training and evaluating code-switching between isiZulu and English. |
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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. |
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📊 Dataset Structure |
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Language Samples Type Content |
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isiZulu ~1 000 Text + Audio Native isiZulu speech and transcripts |
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English ~1 000 Text + Audio Native English speech and transcripts |
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Code-Switched (Zulu-English) ~400 Text + Audio Mixed-language examples |
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Each entry includes: |
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text/ transcript |
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audio/ recording (.wav) |
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metadata (language, speaker, emotion, tone, etc.) |
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⚙️ Intended Use |
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Code-switching recognition and translation |
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African-language speech recognition |
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Multilingual chatbots and assistants |
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AI education and research in Africa |
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📂 File Organization |
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MetaWell_AI_Dataset/ |
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├── text/ |
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│ ├── zulu/ |
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│ ├── english/ |
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│ └── codeswitch/ |
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├── audio/ |
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│ ├── zulu/ |
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│ ├── english/ |
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│ └── codeswitch/ |
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└── metadata.csv |
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🏷️ License |
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CC-BY 4.0 — You may use, share, or adapt this dataset with attribution to MetaWell AI. |
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🧩 Citation |
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If you use this dataset, please cite: |
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@dataset{moremoholo_metawell_2025, |
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title = {MetaWell Code-Switching Dataset (Zulu–English)}, |
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author = {Moremoholo, Thabo}, |
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year = {2025}, |
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url = {https://huggingface.co/metawell-ai/metawell_codeswitch_dataset} |
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} |
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🌍 About MetaWell AI |
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MetaWell AI is an African AI initiative focused on bridging human and machine communication through multilingual, code-switching, and culturally aware models. |
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Homepage: https://meta-vault-1daccafc.base44.app |
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Contact: thabo1.moremoholo@gmail.com |
