Datasets:
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license: cc0-1.0
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license: cc0-1.0
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task_categories:
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- text-generation
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- text-classification
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language:
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- en
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tags:
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- code
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- art
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pretty_name: mg_sd_washed
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size_categories:
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- 10K<n<100K
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# MagicPrompt_SD_Washed
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It's a version of datasets of [Gustavosta/MagicPrompt-Stable-Diffusion](https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion).
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When I want to train a model using origin data, some bad prompts broke model and waste many time.
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So I washed the origin datasets:
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1. 😄 delete some meanless words like some artists name with misspelling
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2. 😂 delete many spaces that make `100mm` to `10 0m`
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3. 😭 some url in datasets
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4. 😭 and many unknown words
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And this version is doing well in my train test!😍
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