Update README.md

README.md

@@ -22,11 +22,6 @@ Each row corresponds to an ambiguous image or video sample paired with a questio
 
 ### `question`
 - The natural-language question posed to the model.  
-- Questions are aligned with AmbiBench’s four task types:
-  - **Open-ended**: ask for all possible interpretations (e.g., “What hidden objects can you see in the image?”).  
-  - **Multiple-choice**: ask to select all valid interpretations from candidates.  
-  - **Ambiguous localization**: ask to provide bounding boxes for ambiguous regions.  
-  - **Local region description**: ask to describe multiple interpretations of a highlighted region.
 
 ### `answer`
 - The reference answer to the `question`.