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@@ -15,7 +15,6 @@ If you’re looking for all datasets, models, or work from our broader team, vis
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  ## About the South African Next Voices Project
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  **ZA-ANV** is building a **3,000-hour** multilingual, multi-domain speech dataset for South Africa, spanning seven local languages.
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  - **Languages:** Setswana, isiZulu, isiXhosa, Sesotho, Sepedi, isiNdebele, Tshivenda
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  - **Coverage:** 500 hours per language for the main five; 250 hours for isiNdebele and Tshivenda (pilot/experimental scale for future work)
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  - **Domains:** Broad/general domains to reflect real-world diversity
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  We work at the intersection of **Data Science for Society** and **Local Language NLP**.
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  Our mission:
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- - Data-driven collaborative innovation to empower society to tackle challenges and preserve our languages.
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  Find all our work and resources at: [huggingface.co/dsfsi](https://huggingface.co/dsfsi)
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  **Questions?**
 
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  ## About the South African Next Voices Project
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  **ZA-ANV** is building a **3,000-hour** multilingual, multi-domain speech dataset for South Africa, spanning seven local languages.
 
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  - **Languages:** Setswana, isiZulu, isiXhosa, Sesotho, Sepedi, isiNdebele, Tshivenda
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  - **Coverage:** 500 hours per language for the main five; 250 hours for isiNdebele and Tshivenda (pilot/experimental scale for future work)
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  - **Domains:** Broad/general domains to reflect real-world diversity
 
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  We work at the intersection of **Data Science for Society** and **Local Language NLP**.
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  Our mission:
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+ Data-driven collaborative innovation to empower society to tackle challenges and preserve our languages.
 
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  Find all our work and resources at: [huggingface.co/dsfsi](https://huggingface.co/dsfsi)
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  **Questions?**