Update README.md

README.md

@@ -33,7 +33,7 @@ widget:
 Introducing TACO, a baseline classification model built upon `AutoModelForSequenceClassification`, designed to identify tweets belonging to four distinct
 classes: Reason, Statement, Notification, and None. Tailored specifically for argument mining on Twitter, this baseline model is an evolution of the 
 [BERTweet-base](https://huggingface.co/vinai/bertweet-base) architecture, which was originally pre-trained on Twitter data. 
-Through fine-tuning with the [TACO dataset](https://anonymous.4open.science/r/TACO), the baseline model acquires its name and excels in the 
+Through fine-tuning with the [TACO dataset](https://github.com/TomatenMarc/TACO), the baseline model acquires its name and excels in the 
 extraction of *Twitter Arguments from COnversations*.
 
 ## Class Semantics
@@ -77,7 +77,7 @@ prediction = pipe("Huggingface is awesome")
 print(prediction)
 ```
 
-<a href="https://anonymous.4open.science/r/TACO/notebooks/classifier_cv.ipynb">
+<a href="https://github.com/TomatenMarc/TACO/blob/main/notebooks/classifier_cv.ipynb">
     <blockquote style="border-left: 5px solid grey; background-color: #f0f5ff; padding: 10px;">
         Notice: The tweets need to undergo preprocessing before classification.
     </blockquote>