| --- |
| license: mit |
| task_categories: |
| - text-generation |
| language: |
| - lg |
| pretty_name: fine luganda |
| size_categories: |
| - 100K<n<1M |
| --- |
| # Luganda Pretraining Dataset |
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| ## 📝 Dataset Summary |
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| The **Luganda Pretraining Dataset** is a continuously growing corpus of text in **Luganda**, one of Uganda’s major Bantu languages. Curated by **SAGE POND**, this dataset was designed to power **language model pretraining, text generation, and other Luganda NLP research tasks**. |
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| Given Luganda’s low-resource status in the NLP landscape, this dataset aims to capture the **linguistic richness, cultural expressions, and dialectal diversity** of the language. It encompasses multiple domains including oral literature, social media, news, religious texts, and academic materials. |
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| This dataset will be **continuously updated** to include: |
| - Dialectal and regional variations |
| - Contemporary colloquialisms and emerging terms |
| - Proverbs, idioms, and culturally significant expressions |
| - Domain-specific corpora (legal, health, finance, etc.) |
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| It forms part of **SAGE POND’s mission to make AI accessible to everyone, with a special focus on underrepresented languages and communities.** |
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| --- |
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| ## 📚 Supported Tasks |
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| - Causal Language Modeling (CLM) |
| - Masked Language Modeling (MLM) |
| - Text Generation |
| - Luganda-centric NLP research |
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| --- |
|
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| ## 🌍 Languages |
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| - `lug` — Luganda |
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| --- |
