| # Unsafe-1K | |
| Unsafe-1K is an evaluation dataset containing **1,039 unsafe text prompts** for studying the safety of text-to-image generation models. The dataset is designed to provide a controlled yet diverse benchmark for evaluating whether image generation systems can recognize and handle unsafe requests. | |
| ## Dataset Construction | |
| Unsafe-1K is constructed using a modifier-based prompt composition strategy adapted from MODX. | |
| Each prompt is generated from three components: | |
| - **Unsafe subjects**: sensitive or unsafe concepts collected from public datasets and manually curated seed terms. | |
| - **Modifiers**: style, medium, and descriptive expressions that can affect how unsafe content is represented. | |
| - **Prompt templates**: diverse sentence structures used to reduce linguistic bias while preserving the original semantics. | |
| The prompt construction process can be summarized as: | |
| ```text | |
| Prompt = Template(Unsafe Subject, Modifier) | |
| ``` |