Update README.md

README.md

@@ -299,4 +299,30 @@ configs:
     path: preview/WikiVQA_test-*
   - split: WikiVQA_adv
     path: preview/WikiVQA_adv-*
+task_categories:
+- visual-question-answering
+- question-answering
+- text-generation
+- image-to-text
+- video-classification
+language:
+- en
+tags:
+- Long-context
+- MLLM
+- VLM
+- LLM
+pretty_name: MileBench
+size_categories:
+- 1K<n<10K
 ---
+
+
+# MileBench
+
+We introduce MileBench, a pioneering benchmark designed to test the **M**ult**I**modal **L**ong-cont**E**xt capabilities of MLLMs. 
+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
+
+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.