# 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)
```