Given a short query with keyphrases about a research idea in 2019 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: An efficient two-stage Fully Separable Block and Temporal Residual Gradient are proposed to compress and enhance the

Keyphrases: video recognition

Dataset description:
MoNuSeg: The dataset for this challenge was obtained by carefully annotating tissue images of several patients with tumors of different organs and who were diagnosed at multiple hospitals. This dataset was created by downloading H&E stained tissue images captured at 40x magnification from TCGA archive.
MathQA: MathQA significantly enhances the AQuA dataset with fully-specified operational programs.
Multi Task Crowd: Multi Task Crowd is a new 100 image dataset fully annotated for crowd counting, violent behaviour detection and density level classification.
UCF101: UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These 101 categories can be classified into 5 types (Body motion, Human-human interactions, Human-object interactions, Playing musical instruments and Sports).

Options:- A: MoNuSeg  B: MathQA  C: Multi Task Crowd  D: UCF101
UCF101