Update README.md

README.md

@@ -324,5 +324,12 @@ We introduce MileBench, a pioneering benchmark designed to test the **M**ult**I*
 This benchmark comprises not only multimodal long contexts, but also multiple tasks requiring both comprehension and generation. 
 We establish two distinct evaluation sets, diagnostic and realistic, to systematically assess MLLMs’ long-context adaptation capacity and their ability to completetasks in long-context scenarios
 
+![images](./images/MileBench.png)
+
 To construct our evaluation sets, we gather 6,440 multimodal long-context samples from 21 pre-existing or self-constructed datasets, 
-with an average of 15.2 images and 422.3 words each, as depicted in the figure, and we categorize them into their respective subsets.
+with an average of 15.2 images and 422.3 words each, as depicted in the figure, and we categorize them into their respective subsets.
+
+
+![images](./images/stat1.png)
+
+![images](./images/stat2.png)