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README.md

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+---
+language:
+- nl
+license: apache-2.0
+task_categories:
+- question-answering
+- text-generation
+size_categories:
+- n<1K
+tags:
+- dutch
+- government
+- benchmark
+- legal
+- evaluation
+- netherlands
+pretty_name: DutchGovBench
+---
+
+# DutchGovBench v0.1
+
+Evaluation benchmark for Dutch government AI systems. 100 questions across 9 categories, testing knowledge of Dutch law and public administration.
+
+## What is this?
+
+DutchGovBench tests whether AI models can accurately answer questions about Dutch government topics: social support law (Wmo 2015), youth law (Jeugdwet), participation law (Participatiewet), administrative law (Awb), municipal policy, objection procedures, privacy/GDPR, administrative oversight, and subsidies.
+
+Each question includes expected legal references and a verified answer.
+
+## Dataset structure
+
+```json
+{
+  "id": "wmo_001",
+  "category": "Wmo 2015",
+  "question": "Wat is het doel van de Wmo 2015?",
+  "expected_refs": ["art. 1.1.1 Wmo 2015"],
+  "gold_answer": "De Wmo 2015 regelt...",
+  "difficulty": "easy",
+  "style": "factual",
+  "verifiable": true
+}
+```
+
+Fields:
+- **id**: Unique question identifier
+- **category**: One of 9 topic categories
+- **question**: Question in Dutch
+- **expected_refs**: Expected legal article references
+- **gold_answer**: Verified reference answer
+- **difficulty**: easy / medium / hard
+- **style**: factual / applied / analytical
+- **verifiable**: Whether answer can be checked against source text
+
+## Baseline results
+
+| Model | Avg Score (-2 to +2) | Hallucination Rate |
+|-------|---------------------|-------------------|
+| EuroLLM-9B-Instruct | -0.82 | 32% |
+| EuroLLM-22B-Instruct | -0.93 | 55% |
+
+## License
+
+Apache 2.0
+
+## Author
+
+CiviQs B.V. (info@civiqs.nl)