Which Egocentric Video Datasets Do You Find Most Useful For Research?

I’ve been looking into first-person (egocentric) video datasets for activity recognition and multimodal learning research.

A few challenges that seem to come up repeatedly are:

Motion blur
Rapid viewpoint changes
Occlusions from hands and objects
Long video sequences
Annotation consistency

For people who have worked with these datasets:

Which datasets have been the most useful?
What limitations did you encounter?
How well do current datasets generalize to real-world applications?
Are there any newer datasets you’d recommend exploring?

I’d appreciate hearing about experiences from both research and production environments.