README.md

metadata

dataset_info:
  features:
    - name: image_id
      dtype: int64
    - name: url
      dtype: string
    - name: prompt
      dtype: string
    - name: negative_prompt
      dtype: string
    - name: size
      dtype: string
    - name: model
      dtype: string
    - name: stats
      dtype: string
    - name: __index_level_0__
      dtype: int64
  splits:
    - name: train
      num_bytes: 1357513765
      num_examples: 1437428
  download_size: 260387961
  dataset_size: 1357513765
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: mit
task_categories:
  - image-to-image
  - text-classification
  - text-to-image
language:
  - en
tags:
  - not-for-all-audiences
  - nsfw
  - uncensored
  - art
  - stable diffusion
pretty_name: stable diffusion prompts
size_categories:
  - 1M<n<10M

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

Not SAFE for public - Definately Unfiltered with URL links being rendered

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:

• semantic evaluation (see stats column)
• prompt quality
• 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 includes only prompts, negative prompts, and model name for brevity, squeamishness, and research purposes.