If I have a labeled dataset of images for their facial expression (happy, sad, etc from a set of 8 emotions), and also a set of videoclips that don’t have labels:

how can I learn the facial expression labels from these videos?
can you please link me to a similar paper from the literature?
overall, how can I predict emotion/facial expression for each of these short unlabeled videoclips (assuming there are better ways than transfer learning from AffectNet face images that have facial expression labels)?
Is there a starter code in PyTorch that can get me acquainted with the concept through coding?
I was looking for dataset that detect emotions based on a short videoclip and my search led my to DISFA dataset. However, after downloading the dataset, it does not seem to be the same exact thing I was looking for. Is there a dataset that has short videoclips <1 minutes and also their associated facial expression?

Please let me know if more information might be needed from my side.