Update README.md

README.md

@@ -16,7 +16,7 @@ We trained the model using the architecture and [https://github.com/xplip/pixel]
 This model has been used in the paper Evaluating Pixel Language Models on Non-Standardized Languages, accepted at COLING 2025.
 
 ## Model description
-*Description from [https://huggingface.co/Team-PIXEL/pixel-base]()* 
+*Description from [https://huggingface.co/Team-PIXEL/pixel-base](https://huggingface.co/Team-PIXEL/pixel-base)* 
 
 PIXEL consists of three major components: a text renderer, which draws text as an image; an encoder, which encodes the unmasked regions of the rendered image; and a decoder, which reconstructs the masked regions at the pixel level. It is built on ViT-MAE.
 
@@ -29,7 +29,7 @@ For more details on how PIXEL works, please check the paper and the codebase lin
 
 ## Training and evaluation data
 
-This model has been trained renderized German text from [https://huggingface.co/Team-PIXEL/pixel-base]().
+This model has been trained renderized German text from [https://huggingface.co/datasets/stefan-it/german-dbmdz-bert-corpus](https://huggingface.co/datasets/stefan-it/german-dbmdz-bert-corpus).
 
 ### Training hyperparameters