Sorry, I should’ve been more clear
image_path: the name of the images
train_test: if 1 the image is training data 0 the image is
category: the main category of the action
activity: detailed activity of the person or people in the image
single_person: contains rectangle id  ridx  of  sufficiently separated  individuals (this explanation is from the database page I haven’t figured out how to use this information)
It looks like test data does not have any category, activity or single_person information. After filtering train data I no longer need this column. For my initial model, I only take category column as the label but single_person information is also crucial for my use case. I might also drop the activity column  In Sum, for my ultimate goal is a binary decision between the states below:

There is one person on the image doing a regular activity
There are multiple people doing something else or The figure in the image does not belong to one person doing a regular activity.

I might be heading nowhere by using this dataset, but I’d like to share my use case to explain more clearly why I chose the dataset in the first place.