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 build an explainable recommender system for movies.

Keyphrases: explainable recommendation text

Dataset description:
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.
MovieLens: The MovieLens datasets, first released in 1998, describe people’s expressed preferences for movies. These preferences take the form of tuples, each the result of a person expressing a preference (a 0-5 star rating) for a movie at a particular time.
MDD: Movie Dialog dataset (MDD) is designed to measure how well models can perform at goal and non-goal orientated dialog centered around the topic of movies (question answering, recommendation and discussion).
Inspired: A new dataset of 1,001 human-human dialogs for movie recommendation with measures for successful recommendations.

Options:- A: ContentWise Impressions  B: MovieLens  C: MDD  D: Inspired
MovieLens