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metadata
license: cc0-1.0
task_categories:
  - text-generation
  - text-classification
language:
  - en
tags:
  - code
  - art
pretty_name: mg_sd_washed
size_categories:
  - 10K<n<100K

MagicPrompt_SD_Washed

It's a version of datasets of Gustavosta/MagicPrompt-Stable-Diffusion.

When I want to train a model using origin data, some bad prompts broke model and waste many time.

So I washed the origin datasets:

  1. πŸ˜„ delete some meanless words like some artists name with misspelling
  2. πŸ˜‚ delete many spaces that make 100mm to 10 0m
  3. 😭 some url in datasets
  4. 😭 and many unknown words

And this version is doing well in my train test!😍