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: I want to evaluate my recommender systems.

Keyphrases: recommender systems text images

Dataset description:
ConvAI2: The ConvAI2 NeurIPS competition aimed at finding approaches to creating high-quality dialogue agents capable of meaningful open domain conversation. The ConvAI2 dataset for training models is based on the PERSONA-CHAT dataset.
Jester: 6.5 million anonymous ratings of jokes by users of the Jester Joke Recommender System.
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.
Inspired: A new dataset of 1,001 human-human dialogs for movie recommendation with measures for successful recommendations.

Options:- A: ConvAI2  B: Jester  C: SNIPS  D: Inspired
Jester