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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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# Dataset Card for "stable-diffusion-prompts-uncensored"
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data_files:
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- split: train
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path: data/train-*
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license: mit
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task_categories:
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- image-generation
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- mixed-media
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- diffusers
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language:
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- en
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tags:
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- uncensored
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- nsfw
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- art
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- not-for-all-audiences
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- diffusers
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- image generation
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pretty_name: NSFW Prompts
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size_categories:
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- 100K<n<1M
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---
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# Dataset Card for "stable-diffusion-prompts-uncensored"
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## Not SAFE for public - Definately Unfiltered
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This dataset comes from prompts shared from images' metadata on Civitai. Not for the faint of heart.
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Thanks to Civitai.com for all the models, building a playground, allowing fine tuning of models, and generally being a good influence on model building and generation.
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The purpose of this dataset is to allow for analysis of prompts and feature analysis in prompts and negative prompts.
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This could be for:
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- similarity
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- effective prompting
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- prompt alignment or misalignment
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- statistical research on prompts and categories
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- popularity of image generation approaches
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- mimimalism prompts with certain models
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- matching generated prompts to images for LLAVA purposes
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- mimimizing prompts for better context usage
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- social research on interest level and creative approaches
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- modeling based on prompts for automating prompt generation strategy
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- modeling of categorical interest and similarity
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- modeling of evolution of prompts based on model versioning
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A seperate upload will include metadata statistics such as cry count, laugh count, etc. for semantic analysis based on prompt length and content.
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