language:
- en
license: cc-by-4.0
size_categories: - 1K<n<10K
task_categories: - text-to-image
pretty_name: MPUP
dataset_info: The Multimodal Pragmatic Unsafe Prompts (MPUP) is a test bed consisting
of 1,200 multimodal pragmatic unsafe prompts to assess the multimodal pragmatic
safety in Text-to-Image (T2I) models.
configs: - config_name: MPUP
data_files:- split: test
path: multimodalpragmatic*
tags:
- split: test
- croissant
Multimodal Pragmatic Jailbreak on Text-to-image Models
Project page | Paper | Code
The Multimodal Pragmatic Unsafe Prompts (MPUP) is a dataset designed to assess the multimodal pragmatic safety in Text-to-Image (T2I) models.
It comprises two key sections: image_prompt, and text_prompt.
Dataset Usage
Downloading the Data
To download the dataset, install Huggingface Datasets and then use the following command:
from datasets import load_dataset
dataset = load_dataset("tongliuphysics/multimodalpragmatic")
Data Format
The MPUP datasets contain the following fields:
- id: prompt id.
- class: Category of the prompt.
- subclass: Subclasses of the prompt.
- label: 1 (unsafe) or 0 (safe).
- text_prompt: Visual text prompt that generates the visual text.
- image_prompt: Image-generation prompt that generates the image.