Given a short query with keyphrases about a research idea in 2020 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 train a supervised model for long-horizon visual navigation.

Keyphrases: long-horizon visual navigation images

Dataset description:
YouTube-8M: The YouTube-8M dataset is a large scale video dataset, which includes more than 7 million videos with 4716 classes labeled by the annotation system. The dataset consists of three parts: training set, validate set, and test set.
SUNCG: SUNCG is a large-scale dataset of synthetic 3D scenes with dense volumetric annotations. The dataset is currently not available.
Newspaper Navigator: The largest dataset of extracted visual content from historic newspapers ever produced. The Newspaper Navigator dataset, finetuned visual content recognition model.
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.

Options:- A: YouTube-8M  B: SUNCG  C: Newspaper Navigator  D: SNIPS
SUNCG