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yhavinga commited on Nov 12, 2025

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-# UWV Leesplank
-Open source Nederlandse AI modellen voor de publieke sector
-## Collections
-| Collection | Functie | Techniek | Metrics/Info |
-|------------|---------|----------|--------------|
-| **[Noot](https://huggingface.co/UWV/Leesplank-Noot-overview)** | Tekstvereenvoudiging → B1 | 3 modellen (Granite/Llama/EuroLLM), 1.89M samples | SARI 65-68 |
-| **[WIM](https://huggingface.co/UWV/Leesplank-Wim-overview)** | Text → Knowledge Graphs | 5-node pipeline, Phi-4 LoRA, 40K tokens | [Code](https://github.com/linnaeus-ai/wim-signaalberichten) |

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+| Collection                                                               | Functie | Techniek | Metrics/Info |
+|--------------------------------------------------------------------------|---------|----------|--------------|
+| **[Leesplank Noot](https://huggingface.co/UWV/Leesplank-Noot-overview)** | [**Tekstvereenvoudiging → B1**](https://huggingface.co/UWV/Leesplank-Noot-overview) | [3 modellen (Granite/Llama/EuroLLM), 1.89M samples](https://huggingface.co/UWV/Leesplank-Noot-overview) | **SARI 65-68** |
+| **[Leesplank WIM](https://huggingface.co/UWV/Leesplank-Wim-overview)** | [**Text → Knowledge Graphs**](https://huggingface.co/UWV/Leesplank-Wim-overview) | [5-node pipeline, Phi-4 LoRA, 40K tokens](https://huggingface.co/UWV/Leesplank-Wim-overview) | [**Code**](https://github.com/linnaeus-ai/wim-signaalberichten) |