Update README.md

README.md

@@ -11,7 +11,8 @@ tags:
 # Multilingual Parallel Sentences with Semantic Similarity Scores and Quality Metrics
 
 This dataset is a diverse collection of parallel sentences in English and various other languages, sourced from multiple high-quality datasets. 
-Each sentence pair includes a semantic similarity score calculated using the Language-agnostic BERT Sentence Embedding (LaBSE) model, along with additional quality metrics. 
+Each sentence pair includes a semantic similarity score calculated using the [Language-agnostic BERT Sentence Embedding (LaBSE) model](https://huggingface.co/sentence-transformers/LaBSE), 
+along with additional quality metrics. 
 
 ### Supported Tasks
 
@@ -69,7 +70,10 @@ A total of 5 000 sentences were downloaded from each split of each datase
 ### Annotations
 
 Semantic similarity scores were generated using the LaBSE model by calculating cosine distances between embeddings. 
-Additional metrics (`quality`, `readability`, `sentiment`) were annotated using the "xquality," "xreadability," and "xsentiment" models.
+Additional metrics were annotated using the 
+[quality](https://huggingface.co/agentlans/deberta-v3-base-zyda-2-quality), 
+[readability](https://huggingface.co/agentlans/deberta-v3-base-zyda-2-readability), and
+[sentiment](https://huggingface.co/agentlans/deberta-v3-base-zyda-2-sentiment) models.
 
 ## Considerations for Using the Data