Update README.md

README.md

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 # GoEmotions BERT Classifier
 
-This is a fine-tuned **BERT-base-uncased** model for multi-label emotion classification on the [GoEmotions dataset](https://huggingface.co/datasets/goemotions), predicting 28 emotions (e.g., admiration, anger, joy, neutral).
+This is a fine-tuned **BERT-base-uncased** model for multi-label emotion classification on the [GoEmotions dataset](https://huggingface.co/datasets/google-research-datasets/go_emotions), predicting 28 emotions (e.g., admiration, anger, joy, neutral).
 
 ## Model Details
 
 - **Architecture**: BERT-base-uncased (110M parameters)
-- **Training Data**: https://huggingface.co/datasets/google-research-datasets/go_emotions (58k Reddit comments, 28 emotions)
+- **Training Data**: [GoEmotions](https://huggingface.co/datasets/google-research-datasets/go_emotions) (58k Reddit comments, 28 emotions)
 - **Loss Function**: Focal Loss (gamma=2)
 - **Optimizer**: AdamW (lr=2e-5, weight_decay=0.01)
 - **Epochs**: 5