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: A novel hybrid collaborative filtering approach that merges the recommendations provided by different collaborative filtering approaches.

Keyphrases: recommendation text

Dataset description:
LAMBADA: The LAMBADA (LAnguage Modeling Broadened to Account for Discourse Aspects) benchmark is an open-ended cloze task which consists of about 10,000 passages from BooksCorpus where a missing target word is predicted in the last sentence of each passage. The missing word is constrained to always be the last word of the last sentence and there are no candidate words to choose from.
FollowUp: 1000 query triples on 120 tables.
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.
Jester: 6.5 million anonymous ratings of jokes by users of the Jester Joke Recommender System.

Options:- A: LAMBADA  B: FollowUp  C: MovieLens  D: Jester
MovieLens