Update README.md

README.md

@@ -93,7 +93,7 @@ session = fo.launch_app(dataset)
 
 ### Dataset Description
 
-Document Haystack is a comprehensive benchmark designed to evaluate the performance of Vision Language Models (VLMs) on long, visually complex documents. This FiftyOne dataset contains the 5-page subset, which serves as an entry point for testing retrieval capabilities on shorter documents.
+Document Haystack is a comprehensive benchmark designed to evaluate the performance of Vision Language Models (VLMs) on long, visually complex documents. This FiftyOne dataset contains the 10-page subset, which serves as an entry point for testing retrieval capabilities on shorter documents.
 
 The benchmark expands on the "Needle in a Haystack" concept by embedding needles — short key-value statements in pure text or as multimodal text+image snippets — within real-world documents. These needles test whether models can locate specific information hidden within complex documents with textual, visual, or mixed content.