Hi @denizbt,
Thanks for reaching out!
We do not have a strict upper limit for the size of Docker images, the only hard limit that we have is 15 GB per layer. (if it is big because of some hugging face models, we have a --mount-hf-model flag that allows to mount models from hugging face read-only, more details on this are described here.)
If the upload is too slow, it might be an option that you invite us to the github repository (my account is mam10eks), so that we build the image on our side and upload it (also, please note that we can extend the deadline on an individual basis to ensure all your submissions are valid and work).
After the software is uploaded, please run it (for the multi-author analysis task) on the spot-check dataset and on the test dataset. The organizers will later review the outputs and will contact you in case there is some problem.
Please describe the approaches that you want to have on the leaderboard in your notebook paper that you will submit to easychair (deadline may 30), the organizers will review this and use this to write their overview paper which will then inform the leaderboard. (So it is no problem if you have submissions that you do not describe in your notebook, e.g., because they are re-uploads of the baseline to ensure everything works.)
I hope this answers your questions?
Best regards,
Maik