{"url":"/dataset/p4d-prompts","name":"P4D prompts","full_name":"P4D universal jailbreaking prompt for T2I models","description_markdown":"This dataset contains prompts designed to evaluate and challenge the safety mechanisms of generative text-to-image models, with a particular focus on identifying prompts that are likely to produce images containing nudity. Introduced in the 2024 ICML paper Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts, this dataset is not specific to any single approach or model but is intended to test various mitigating measures against inappropriate content generation in models like Stable Diffusion. This dataset is only for research purposes.","description_withheld":null,"homepage":"https://huggingface.co/datasets/joycenerd/p4d","introduced_date":"2024-05-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/prompting4debugging-red-teaming-text-to-image","title":"Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts","first_author":"Zhi-Yi Chin","url":null},"license":{"name":"cc-by-4.0","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text-to-Image Generation","url":"/task/text-to-image-generation","datasets_with_task":"/datasets/task/text-to-image-generation"}],"languages":[],"variants":["P4D prompts"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}