Update README.md

README.md

@@ -22,7 +22,7 @@ library_name: transformers
 
 ## Model Description
 
-This model is a fine-tuned version of [`csebuetnlp/banglabert`](https://huggingface.co/csebuetnlp/banglabert) on the SentiGOLD dataset for 5-class sentiment analysis in Bengali. It classifies text into:
+This model is a fine-tuned version of [`csebuetnlp/banglabert`](https://huggingface.co/csebuetnlp/banglabert) on the [SentiGOLD](https://arxiv.org/pdf/2306.06147) dataset for 5-class sentiment analysis in Bengali. It classifies text into:
 1. 😠 Very Negative (SN)
 2. 😞 Negative (WN)
 3. 😐 Neutral (N)
@@ -50,7 +50,7 @@ This model is a fine-tuned version of [`csebuetnlp/banglabert`](https://huggingf
 
 ## Training Data
 
-The model was fine-tuned on [**SentiGOLD**](https://arxiv.org/pdf/2306.06147), the largest gold-standard Bangla sentiment analysis dataset:
+The model was fine-tuned on **SentiGOLD**, the largest gold-standard Bangla sentiment analysis dataset:
 
 | Feature                | Value         |
 |------------------------|---------------|