Omkar2118/datasets huggingface dataset:
ChildCIdb
Full name: ChildCIdbv1

A large-scale, first-of-its-kind database aimed at generating a better understanding of the way children interact with mobile devices during their development process. ChildCIdbv1 comprises data collected from 438 children, from 18 months to 8 years old, encompassing the first three development stages of Piaget's theory. Data collected spans interaction with screens using both finger and pen stylus, information regarding the previous experience of the child with mobile devices, the child’s grade level, and whether attention-deficit/hyperactivity disorder (ADHD) is present.

Use cases: 

Child age detection based on device interaction.

Introducing paper: Child-Computer Interaction with Mobile Devices: Recent Works, New Dataset, and Age Detection
VidHarm

**VidHarm** is a professionally annotated dataset for detection of harmful content in video. Include 3589 annotate video clips from a variety of film trailers. In contrast to previous approaches which mostly use meta data from long sequences, it uses the raw video and focus on short clips.

Introducing paper: VidHarm: A Clip Based Dataset for Harmful Content Detection