Don't understand Readme

[EoinKenny]

If the influence function is calculated for multiple test images, the helpfulness is ordered by average helpfulness to the prediction outcome of the processed test samples.

I don't understand this. My pytorch test dataloader I use has many examples, but the helpfulness list is always in order from the most positive for that specific test image. There doesn't appear to be any "averaging" happening?

Am I missing something?