Update README.md

README.md

@@ -25,7 +25,7 @@ The fastText model is used along with [GneissWeb.Edu_classifier](https://hugging
 
 **Training Data**
 
-The model is trained on 800k documents, labeled using the WatsonNLP hierachical categorization. Please refer to [fasttext text classification tutorial](https://fasttext.cc/docs/en/python-module.html) for details. 
+The model is trained on 800k documents, labeled using the [WatsonNLP hierachical categorization](https://www.ibm.com/docs/en/watsonx/saas?topic=catalog-hierarchical-categorization). Please refer to [fastText text classification tutorial](https://fasttext.cc/docs/en/python-module.html) for details. 
 Training data is selected as follows. 
 
 - *Positive documents*: 400k documents randomly sampled from the documents labeled with science category with a confidence score 0.95 and above.