Update README.md

README.md

@@ -1,3 +1,24 @@
 ---
 license: mit
+task_categories:
+- text-to-image
+- image-to-image
+- unconditional-image-generation
+tags:
+- art
+pretty_name: stained
+size_categories:
+- n<1K
 ---
+# Stained Glass Art Dataset for Diffusion Models
+
+## Overview
+This dataset consists of 21 high-resolution images of stained glass art, accompanied by corresponding captions. It is designed for fine-tuning diffusion models using techniques such as textual inversion and dreambooth. The dataset is intended to facilitate research and experimentation in generating stained glass art-inspired images.
+
+## Dataset Structure
+- **Images:** The stained glass art images are stored in the "images" directory, with filenames ranging from "0.jpg" to "20.jpg."
+- **Captions:** Captions for each image are provided in the "captions.csv" file located in the dataset's root directory. The captions contain placeholders for adjectives and a custom token to represent stained glass art. For example: "A {adjective} {token} of a puppy."
+- **Adjective Placeholders:** During training, the {adjective} placeholder in the captions can be randomly selected from the following list: `["good", "cropped", "clean", "bright", "cool", "nice", "small", "large", "dark", "weird"]`.
+- **Token Placeholder:** The {token} placeholder represents the custom token that needs to be trained to capture the unique art style of stained glass. This token is a key element in generating realistic stained glass art-inspired images.
+
+