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Datasets:
vera365
/
lexica_dataset

Tasks:
Text-to-Image
Image-to-Text
Modalities:
Image
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
prompts
engineering
research paper
Libraries:
Datasets
Dask
License:
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metadata
dataset_info:
  features:
    - name: image
      dtype: image
    - name: prompt
      dtype: string
    - name: id
      dtype: string
    - name: promptid
      dtype: string
    - name: width
      dtype: uint16
    - name: height
      dtype: uint16
    - name: seed
      dtype: uint32
    - name: grid
      dtype: bool
    - name: model
      dtype: string
    - name: nsfw
      dtype: string
    - name: subject
      dtype: string
    - name: modifier10
      sequence: string
    - name: modifier10_vector
      sequence: float64
  splits:
    - name: train
      num_bytes: 7270597392.368
      num_examples: 49173
    - name: test
      num_bytes: 1765294302.142
      num_examples: 12294
  download_size: 5194348793
  dataset_size: 9035891694.51
license: cc-by-4.0
task_categories:
  - text-to-image
  - image-to-text
language:
  - en
tags:
  - prompts
  - engineering
  - research paper
pretty_name: LexicaDataset
size_categories:
  - 10K<n<100K

Dataset Description

LexicaDataset

LexicaDataset is a large-scale text-to-image prompt dataset shared in [USENIX'24] Prompt Stealing Attacks Against Text-to-Image Generation Models. It contains 61,467 prompt-image pairs collected from Lexica. All prompts are curated by real users and images are generated by Stable Diffusion. Data collection details can be found in the paper.

Data Splits

We randomly sample 80% of a dataset as the training dataset and the rest 20% as the testing dataset.

Load LexicaDataset

You can use the Hugging Face Datasets library to easily load prompts and images from LexicaDataset.

import numpy as np
from datasets import load_dataset

trainset = load_dataset('vera365/lexica_dataset', split='train')
testset  = load_dataset('vera365/lexica_dataset', split='test')

Metadata Schema

trainset and testset share the same schema.

Column Type Description
image image The generated image
prompt string The text prompt used to generate this image
id string Image UUID
promptid string Prompt UUID
width uint16 Image width
height uint16 Image height
seed uint32 Random seed used to generate this image.
grid bool Whether the image is composed of multiple smaller images arranged in a grid
model string Model used to generate the image
nsfw string Whether the image is NSFW
subject string the subject/object depicted in the image, extracted from the prompt
modifier10 sequence Modifiers in the prompt that appear more than 10 times in the whole dataset. We regard them as labels to train the modifier detector
modifier10_vector sequence One-hot vector of modifier10

Ethics & Disclosure

According to the terms and conditions of Lexica, images on the website are available under the Creative Commons Noncommercial 4.0 Attribution International License. We strictly followed Lexica’s Terms and Conditions, utilized only the official Lexica API for data retrieval, and disclosed our research to Lexica. We also responsibly disclosed our findings to related prompt marketplaces.

License

The LexicaDataset dataset is available under the CC-BY 4.0 License.

Citation

If you find this useful in your research, please consider citing:

@inproceedings{SQBZ24,
  author = {Xinyue Shen and Yiting Qu and Michael Backes and Yang Zhang},
  title = {{Prompt Stealing Attacks Against Text-to-Image Generation Models}},
  booktitle = {{USENIX Security Symposium (USENIX Security)}},
  publisher = {USENIX},
  year = {2024}
}