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: I want to add a new module to a tracker, and use the module to calculate the model update

Keyphrases: visual tracking video

Dataset description:
TrackingNet: TrackingNet is a large-scale tracking dataset consisting of videos in the wild. It has a total of 30,643 videos split into 30,132 training videos and 511 testing videos, with an average of 470,9 frames.
SNIPS: The SNIPS Natural Language Understanding benchmark is a dataset of over 16,000 crowdsourced queries distributed among 7 user intents of various complexity:   SearchCreativeWork (e.g. Find me the I, Robot television show), GetWeather (e.g.
ReferItGame: The ReferIt dataset contains 130,525 expressions for referring to 96,654 objects in 19,894 images of natural scenes.
VOT2018: VOT2018 is a dataset for visual object tracking. It consists of 60 challenging videos collected from real-life datasets.

Options:- A: TrackingNet  B: SNIPS  C: ReferItGame  D: VOT2018
VOT2018