Update README.md

README.md

@@ -22,12 +22,17 @@ It differs from prior datasets; examples include that it contains:
 - (4) user-chosen topics for each visual question from 105 diverse topics revealing the dataset’s inherent diversity.
 
 ## Dataset Structure
-We designed VQAonline to support few-shot settings given the recent exciting developments around in-context few-shot learning with foundation models.  
-- Training set: 665 examples
-- Validation set: 285 examples
-- Test set: 63,746 examples 
+In total, the VQAonline dataset contains 64,696 visual questions.
 
+We designed VQAonline to support few-shot settings given the recent exciting developments around in-context few-shot learning with foundation models. Thus, we split the dataset as follows:
 
+- Training set: 665 visual questions 
+- Validation set: 285 visual questions 
+- Test set: 63,746 visual questions 
+
+The questions, contexts, and answers are provided in the json files. 
+
+Due to the constraint of huggingface, we separate the image files into 7 folders (named from images1 to images7), each of which contains 10,000 image files, except for folder "images 7". 
 
 ## Contact
 - Chongyan Chen: chongyanchen_hci@utexas.edu