Update README.md

README.md

@@ -13,6 +13,16 @@
 ## Introduction
 MMIU encompasses 7 types of multi-image relationships, 52 tasks, 77K images, and 11K meticulously curated multiple-choice questions, making it the most extensive benchmark of its kind. Our evaluation of 24 popular MLLMs, including both open-source and proprietary models, reveals significant challenges in multi-image comprehension, particularly in tasks involving spatial understanding. Even the most advanced models, such as GPT-4o, achieve only 55.7% accuracy on MMIU. Through multi-faceted analytical experiments, we identify key performance gaps and limitations, providing valuable insights for future model and data improvements. We aim for MMIU to advance the frontier of LVLM research and development, moving us toward achieving sophisticated multimodal multi-image user interactions.
 
+## Data Viewer Configuration
+
+The Data Viewer is configured to display the contents of `all.parquet`.
+
+```python
+{
+ "task": "table-qa",
+ "path": "all.parquet"
+}
+
 ## Data Structure
 ### Data Fields
 
@@ -28,6 +38,7 @@ Each field of annotation is as follows:
 * `output`: The correct option for the question
 
 
+
 ### Example
 ```
 {