Given a short query with keyphrases about a research idea in 2018 in the domain of artificial intelligence, recommend the relevant datasets to validate the research idea from options provided. A short description of the datasets is also provided to help you.

Query: We present a novel approach for video prediction using disentangled spatial and temporal features. Our approach consists of two

Keyphrases: video prediction

Dataset description:
KTH: The efforts to create a non-trivial and publicly available dataset for action recognition was initiated at the KTH Royal Institute of Technology in 2004. The KTH dataset is one of the most standard datasets, which contains six actions: walk, jog, run, box, hand-wave, and hand clap.
MOT17: The Multiple Object Tracking 17 (MOT17) dataset is a dataset for multiple object tracking. Similar to its previous version MOT16, this challenge contains seven different indoor and outdoor scenes of public places with pedestrians as the objects of interest.
FollowUp: 1000 query triples on 120 tables.
LasVR: A large-scale video database for rain removal (LasVR), which consists of 316 rain videos.

Options:- A: KTH  B: MOT17  C: FollowUp  D: LasVR
KTH