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 propose a multi-level recommendation method with its main purpose being to assist users in decision making by providing

Keyphrases: recommendation text

Dataset description:
CAD-120: The CAD-60 and CAD-120 data sets comprise of RGB-D video sequences of humans performing activities which are recording using the Microsoft Kinect sensor. Being able to detect human activities is important for making personal assistant robots useful in performing assistive tasks.
ContentWise Impressions: The ContentWise Impressions dataset is a collection of implicit interactions and impressions of movies and TV series from an Over-The-Top media service, which delivers its media contents over the Internet. The dataset is distinguished from other already available multimedia recommendation datasets by the availability of impressions, i.e., the recommendations shown to the user, its size, and by being open-source.
Jester: 6.5 million anonymous ratings of jokes by users of the Jester Joke Recommender System.
WiC-TSV: WiC-TSV is a new multi-domain evaluation benchmark for Word Sense Disambiguation. More specifically, it is a framework for Target Sense Verification of Words in Context which grounds its uniqueness in the formulation as a binary classification task thus being independent of external sense inventories, and the coverage of various domains.

Options:- A: CAD-120  B: ContentWise Impressions  C: Jester  D: WiC-TSV
Jester