What Makes An Egocentric Video Dataset Actually Useful For Research?

I’ve been exploring first-person (egocentric) video datasets recently and noticed that dataset size alone doesn’t seem to tell the whole story.

Some datasets have a huge number of videos, while others focus more on annotation quality, action diversity, object interactions, or long temporal sequences.

For those who have worked with action recognition, embodied AI, AR/VR, robotics perception, or related tasks:

* What dataset characteristics matter most to you?
* How important is annotation quality compared to dataset scale?
* Are there any egocentric datasets you keep coming back to for benchmarking?

I’d be interested to hear what people here consider the most useful datasets for real-world experimentation.