metadata

language:
  - en
license: apache-2.0
source_datasets: vivym/midjourney-messages
task_categories:
  - text-generation
dataset_info:
  features:
    - name: id
      dtype: string
    - name: channel_id
      dtype: string
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 3579885267
      num_examples: 19738964
  download_size: 1515158851
  dataset_size: 3579885267
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - midjourney

midjourney-messages-cleaned

This is vivym/midjourney-messages but with the following cleaning steps:

remove most columns (keep id columns for reference vs. original)
Apply clean-text to all rows (keep casing)
rename content to text (ffs)
remove intermediate ID/tag (???) in angle brackets at the end, remove double asterisks **
remove exact duplicate rows

dataset structure

overall:

DatasetDict({
    train: Dataset({
        features: ['id', 'channel_id', 'text'],
        num_rows: 20164939
    })
})

A single example looks like this:

random.choice(dataset['train'])

{'id': '1108635049391308879',
 'channel_id': '1008571088919343124',
 'text': 'Warhammer 40k Chaos Space Marine with pink Armor and a guitar'}