| 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. |