
# MagicPrompt_SD_Washed

It's a version of datasets of [Gustavosta/MagicPrompt-Stable-Diffusion](https://huggingface.co/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. 😄 delete some meanless words like some artists name with misspelling
2. 😂 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!😍

task_categories:text-generation task_categories:text-classification size_categories:10K<n<100K language:en license:cc0-1.0 code art region:us
{"language": ["en"], "license": "cc0-1.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation", "text-classification"], "pretty_name": "mg_sd_washed", "tags": ["code", "art"]}
TAGS
#task_categories-text-generation #task_categories-text-classification #size_categories-10K<n<100K #language-English #license-cc0-1.0 #code #art #region-us 


# 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.  delete some meanless words like some artists name with misspelling
2.  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!

# 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.  delete some meanless words like some artists name with misspelling
2.  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!
TAGS
#task_categories-text-generation #task_categories-text-classification #size_categories-10K<n<100K #language-English #license-cc0-1.0 #code #art #region-us 
 # 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.  delete some meanless words like some artists name with misspelling
2.  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!
passage: TAGS
#task_categories-text-generation #task_categories-text-classification #size_categories-10K<n<100K #language-English #license-cc0-1.0 #code #art #region-us 
# 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.  delete some meanless words like some artists name with misspelling
2.  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!