Update README.md

README.md

@@ -13,11 +13,11 @@ library_name: transformers
 
 #### Overview
 
-Model trained from [mobileBert](https://huggingface.co/google/mobilebert-uncased) on the [go_emotions](https://huggingface.co/datasets/go_emotions) dataset for multi-label classification.
+Model trained from [mobileBert](https://huggingface.co/google/mobilebert-uncased) on the [go_emotions](https://huggingface.co/datasets/google-research-datasets/go_emotions) dataset for multi-label classification.
 
 #### Dataset used for the model
 
-[go_emotions](https://huggingface.co/datasets/go_emotions) is based on Reddit data and has 28 labels. It is a multi-label dataset where one or multiple labels may apply for any given input text, hence this model is a multi-label classification model with 28 'probability' float outputs for any given input text. Typically a threshold of 0.5 is applied to the probabilities for the prediction for each label.
+[go_emotions](https://huggingface.co/datasets/google-research-datasets/go_emotions) is based on Reddit data and has 28 labels. It is a multi-label dataset where one or multiple labels may apply for any given input text, hence this model is a multi-label classification model with 28 'probability' float outputs for any given input text. Typically a threshold of 0.5 is applied to the probabilities for the prediction for each label.
 
 #### How the model was created