Update README.md

README.md

@@ -11,6 +11,8 @@ library_name: transformers
 
 Swin Transformer model pre-trained on Color Multi Fractal DB 1k (1 million images, 1k classes) at resolution 224x224 for 300 epochs, developed by [ELAN MITSUA Project](https://elanmitsua.com/en/) / Abstract Engine. 
 
+This model is trained exclusively on 1 million fractal images which relies solely on mathematical formulas, so no real images or pretrained models are used for this training.
+
 ## Model Details
 
 ### Model Description
@@ -26,5 +28,7 @@ It was introduced in the paper [Swin Transformer: Hierarchical Vision Transforme
 
 ### Training Data
 
-- Color Multi Fractal DB 1k / CC BY 4.0
-  - This is 1 million fractal images dataset generated using a single python script, which relies solely on mathematical formulas, so no real images or pretrained models are used for this training.
+- [Color Multi Fractal DB 1k](https://huggingface.co/datasets/Mitsua/color-multi-fractal-db-1k) / CC BY 4.0
+  - **Curated by:** [ELAN MITSUA Project](https://elanmitsua.com/en/) / Abstract Engine
+  -  Paper: [Improving Fractal Pre-training](https://catalys1.github.io/fractal-pretraining/) by Connor Anderson and Ryan Farrell
+  -  Code : [Multi-Fractal-Dataset](https://github.com/FYGitHub1009/Multi-Fractal-Dataset) by FYSignate1009