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Datasets:
vera365
/
lexica_dataset

Tasks:
Text-to-Image
Image-to-Text
Modalities:
Image
Text
Formats:
parquet
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
prompts
engineering
research paper
Libraries:
Datasets
Dask
Croissant
License:
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  - **Paper:** [Prompt Stealing Attacks Against Text-to-Image Generation Models](https://arxiv.org/abs/2302.09923)
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  - **Point of Contact:** [Xinyue Shen](xinyue.shen@cispa.de)
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- ### Dataset Summary
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  LexicaDataset is a large-scale text-to-image prompt dataset shared in [[USENIX'24] Prompt Stealing Attacks Against Text-to-Image Generation Models](https://arxiv.org/abs/2302.09923).
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  It contains **61,467 prompt-image pairs** collected from [Lexica](https://lexica.art/).
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  We randomly sample 80% of a dataset as the training dataset and the rest 20% as the testing dataset.
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- ### Loading LexicaDataset
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  You can use the Hugging Face [`Datasets`](https://huggingface.co/docs/datasets/quickstart) library to easily load prompts and images from LexicaDataset.
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  | `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 |
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  | `modifier10_vector` | `sequence` | One-hot vector of `modifier10` |
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  ## Ethics & Disclosure
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  According to the [terms and conditions of Lexica](https://lexica.art/terms), 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.
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- ## Licensing
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  The LexicaDataset dataset is available under the [CC-BY 4.0 License](https://creativecommons.org/licenses/by/4.0/).
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  ## Citation
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  If you find this useful in your research, please consider citing:
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  ```bibtex
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  @inproceedings{SQBZ24,
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  author = {Xinyue Shen and Yiting Qu and Michael Backes and Yang Zhang},
 
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  - **Paper:** [Prompt Stealing Attacks Against Text-to-Image Generation Models](https://arxiv.org/abs/2302.09923)
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  - **Point of Contact:** [Xinyue Shen](xinyue.shen@cispa.de)
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+ ### LexicaDataset
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  LexicaDataset is a large-scale text-to-image prompt dataset shared in [[USENIX'24] Prompt Stealing Attacks Against Text-to-Image Generation Models](https://arxiv.org/abs/2302.09923).
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  It contains **61,467 prompt-image pairs** collected from [Lexica](https://lexica.art/).
 
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  We randomly sample 80% of a dataset as the training dataset and the rest 20% as the testing dataset.
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+ ### Load LexicaDataset
 
 
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  You can use the Hugging Face [`Datasets`](https://huggingface.co/docs/datasets/quickstart) library to easily load prompts and images from LexicaDataset.
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  | `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 |
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  | `modifier10_vector` | `sequence` | One-hot vector of `modifier10` |
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  ## Ethics & Disclosure
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  According to the [terms and conditions of Lexica](https://lexica.art/terms), 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.
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+ ## License
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  The LexicaDataset dataset is available under the [CC-BY 4.0 License](https://creativecommons.org/licenses/by/4.0/).
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  ## Citation
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  If you find this useful in your research, please consider citing:
 
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  ```bibtex
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  @inproceedings{SQBZ24,
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  author = {Xinyue Shen and Yiting Qu and Michael Backes and Yang Zhang},