Update README.md

README.md

@@ -11,10 +11,10 @@ pipeline_tag: sentence-similarity
 
 ## Evaluation
 
-To assess the performance of the reranker, we will utilize the "validation" portion of the SQuAD dataset. We will select the first question from each paragraph, along with
-the paragraph constituting the excerpt that should be ranked Top-1 for an Oracle modeling. What's intriguing is that the number of themes is limited, and each excerpt from
-a corresponding theme that does not match the question forms a hard negative (other excerpts outside the theme are simple negatives). Thus, we can construct the following
-table, with each theme showing the number of excerpts and associated questions:
+To assess the performance of the reranker, we will utilize the "validation" split of the [SQuAD]()https://huggingface.co/datasets/rajpurkar/squad dataset. We will select
+the first question from each paragraph, along with the paragraph constituting the excerpt that should be ranked Top-1 for an Oracle modeling. What's intriguing is that
+the number of themes is limited, and each excerpt from a corresponding theme that does not match the question forms a hard negative (other excerpts outside the theme are
+simple negatives). Thus, we can construct the following table, with each theme showing the number of excerpts and associated questions:
 
 | Theme name                                   | Context number |
 |---------------------------------------------:|:---------------|