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: A recommendation system based on [DATASET] information and graph embeddings.

Keyphrases: recommendation system text

Dataset description:
Wiki-CS: Wiki-CS is a Wikipedia-based dataset for benchmarking Graph Neural Networks. The dataset is constructed from Wikipedia categories, specifically 10 classes corresponding to branches of computer science, with very high connectivity.
DBpedia: DBpedia (from "DB" for "database") is a project aiming to extract structured content from the information created in the Wikipedia project. DBpedia allows users to semantically query relationships and properties of Wikipedia resources, including links to other related datasets.
Inspired: A new dataset of 1,001 human-human dialogs for movie recommendation with measures for successful recommendations.
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.

Options:- A: Wiki-CS  B: DBpedia  C: Inspired  D: YouTube-8M
DBpedia