updated readme and metadata

README.md

@@ -28,7 +28,47 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: mit
+task_categories:
+- image-to-image
+- text-classification
+- text-to-image
+language:
+- en
+tags:
+- uncensored
+- nsfw
+- stable diffusion
+- art
+- not-for-all-audiences
+pretty_name: stable diffusion prompts
+size_categories:
+- 1M<n<10M
 ---
 # Dataset Card for "stable-diffusion-prompts-stats-full-uncensored"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+# Dataset Card for "stable-diffusion-prompts-uncensored"
+
+## Not SAFE for public - Definately Unfiltered with URL links
+
+This dataset comes from prompts shared from images' metadata on Civitai. Not for the faint of heart. 
+Thanks to Civitai.com for all the models, building a playground, allowing fine tuning of models, and generally being a good influence on model building and generation.
+
+The purpose of this dataset is to allow for analysis of prompts and feature analysis in prompts and negative prompts.
+
+This could be for:
+- semantic evaluation (see stats column)
+- prompt quality
+- effective prompting
+- prompt alignment or misalignment
+- statistical research on prompts and categories
+- popularity of image generation approaches
+- mimimalism prompts with certain models
+- matching generated prompts to images for LLAVA purposes
+- mimimizing prompts for better context usage
+- social research on interest level and creative approaches
+- modeling based on prompts for automating prompt generation strategy
+- modeling of categorical interest and similarity
+- modeling of evolution of prompts based on model versioning
+
+A seperate upload includes only prompts, negative prompts, and model name for brevity, squeamishness, and research purposes.