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 generate image captions with a novel CNM framework.

Keyphrases: image captioning paragraph-level

Dataset description:
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.
NeuralNews: NeuralNews is a dataset for machine-generated news detection. It consists of human-generated and machine-generated articles.
nocaps: The nocaps benchmark consists of 166,100 human-generated captions describing 15,100 images from the OpenImages validation and test sets.
COCO: The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset. The dataset consists of 328K images.

Options:- A: SNIPS  B: NeuralNews  C: nocaps  D: COCO
COCO