recursionpharma/OpenPhenom · How many total images in the final CAViT-S training dataset (RxRx3 + JUMP-CRISPR/ORF)?

I'm doing some micro-benchmarks, and I was wondering how many images were actually used to train the CAViT-S here? RxRx3 is ~2.2 million images and JUMP-CRISPR/ORF seems to be around 1.5 million images. However, cpg0016 has increased over the last few years.

With that said, I don't want to note down an overestimate of the # images to downplay your model performance if the total images used for training was lower though. If you could provide the exact amount of images used for training, that would be greatly appreciated.

Thanks! And cool model!