metadata

language:
  - en
license: mit
size_categories:
  - 100K<n<1M
task_categories:
  - text-to-image
  - image-to-image
pretty_name: NSFW Prompts
dataset_info:
  features:
    - name: model
      dtype: string
    - name: prompt
      dtype: string
    - name: negative_prompt
      dtype: string
    - name: __index_level_0__
      dtype: int64
  splits:
    - name: train
      num_bytes: 647548943
      num_examples: 851568
  download_size: 0
  dataset_size: 647548943
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - uncensored
  - nsfw
  - art
  - not-for-all-audiences
  - diffusers
  - image generation

Dataset Card for "stable-diffusion-prompts-uncensored"

Not SAFE for public - Definately Unfiltered

This dataset comes from prompts shared from images' metadata on Civitai. Not for the faint of heart. 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.

The purpose of this dataset is to allow for analysis of prompts and feature analysis in prompts and negative prompts.

This could be for:

similarity
effective prompting
prompt alignment or misalignment
statistical research on prompts and categories
popularity of image generation approaches
mimimalism prompts with certain models
matching generated prompts to images for LLAVA purposes
mimimizing prompts for better context usage
social research on interest level and creative approaches
modeling based on prompts for automating prompt generation strategy
modeling of categorical interest and similarity
modeling of evolution of prompts based on model versioning

A seperate upload will include metadata statistics such as cry count, laugh count, etc. for semantic analysis based on prompt length and content.