Update README.md

README.md

@@ -30,7 +30,7 @@ This dataset is a reformatted version of the [Delta Reading Comprehension Datase
 
 The dataset transforms the original DRCD QA data into a **document retrieval** setting, where queries are used to retrieve **entire Wikipedia articles** rather than individual passages. Each document is the full text of a Wikipedia entry.
 
-The format is compatible with the data structure used in the **[LongEmbed benchmark](https://github.com/THU-KEG/LongEmbed)** and can be directly plugged into LongEmbed evaluation or training pipelines.
+The format is compatible with the data structure used in the **[LongEmbed benchmark]((https://github.com/THU-KEG/LongEmbed))** and can be directly plugged into LongEmbed evaluation or training pipelines.
 
 ## Key Features
 
@@ -63,7 +63,7 @@ Standard relevance judgments mapping queries to relevant documents.
 {"qid": "6513-4-1", "doc_id": "6513"}
 ```
 
-This structure matches [LongEmbed Benchmark](https://github.com/dwzhu-pku/LongEmbed)'s data format, making it suitable for evaluating long-document retrievers out of the box.
+This structure matches [LongEmbed benchmark](https://github.com/dwzhu-pku/LongEmbed)'s data format, making it suitable for evaluating long-document retrievers out of the box.
 
 ## Example: Document Retrieval Using BM25