README.md

metadata

language:
  - en
license: apache-2.0
multilinguality:
  - monolingual
source_datasets:
  - bartman081523/stable-diffusion-discord-prompts
  - succinctly/midjourney-prompts
  - Gustavosta/Stable-Diffusion-Prompts
pretty_name: multi text2image prompts a dataset collection
tags:
  - text generation
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: text
      dtype: string
    - name: src_dataset
      dtype: string
  splits:
    - name: train
      num_bytes: 741427383
      num_examples: 3551734
    - name: test
      num_bytes: 83615440
      num_examples: 399393
  download_size: 402186258
  dataset_size: 825042823

text2image multi-prompt(s): a dataset collection

• collection of several text2image prompt datasets
• data was cleaned/normalized with the goal of removing "model specific APIs" like the "--ar" for Midjourney and so on
• data de-duplicated on a basic level: exactly duplicate prompts were dropped (after cleaning and normalization)

contents

DatasetDict({
    train: Dataset({
        features: ['text', 'src_dataset'],
        num_rows: 3551734
    })
    test: Dataset({
        features: ['text', 'src_dataset'],
        num_rows: 399393
    })
})

NOTE: as the other two datasets did not have a validation split, the validation split of succinctly/midjourney-prompts was merged into train.