metadata
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
{
"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)