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title: README |
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emoji: 🏢 |
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--- |
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# ZA-African-Next-Voices (za-african-next-voices) |
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**Purpose:** |
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This organization was created to manage and share datasets and models for the South African component of the African Next Voices (ANV) project. |
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If you’re looking for all datasets, models, or work from our broader team, visit our main org: [DSFSI](https://huggingface.co/dsfsi). |
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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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- **Goal:** Enable robust speech and language technology for local South African languages, break literacy barriers, and make digital content locally relevant. |
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# About DSFSI |
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**Data Science for Social Impact (DSFSI)** is a research group at the Computer Science Department, University of Pretoria. |
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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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Contact us via our [DSFSI website](https://www.dsfsi.co.za) or through the main [DSFSI Hugging Face org](https://huggingface.co/dsfsi). |
