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---
task_categories:
- text-generation
tags:
- benchmark
- government
- evaluation
---

This repository contains **GovRelBench**, a benchmark dataset designed for evaluating the core capabilities of large language models (LLMs) in the government domain.

The dataset was presented in the paper [**GovRelBench:A Benchmark for Government Domain Relevance**](https://huggingface.co/papers/2507.21419).

GovRelBench consists of government domain prompts and leverages a dedicated evaluation tool, GovRelBERT, which employs the SoftGovScore method to accurately compute a text's government domain relevance score. This work aims to enhance the capability evaluation framework for large models in the government domain, providing an effective tool for relevant research and practice.

The code and dataset are available within this Hugging Face repository.