| # Unsafe-1K |
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| 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. |
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| ## Dataset Construction |
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| Unsafe-1K is constructed using a modifier-based prompt composition strategy adapted from MODX. |
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| Each prompt is generated from three components: |
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| - **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. |
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| The prompt construction process can be summarized as: |
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| ```text |
| Prompt = Template(Unsafe Subject, Modifier) |
