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: 3D scene completion using SGC

Keyphrases: 3d scene completion depth image

Dataset description:
SUNCG: SUNCG is a large-scale dataset of synthetic 3D scenes with dense volumetric annotations. The dataset is currently not available.
2D-3D Match Dataset: 2D-3D Match Dataset is a new dataset of 2D-3D correspondences by leveraging the availability of several 3D datasets from RGB-D scans. Specifically, the data from SceneNN and 3DMatch are used.
7-Scenes: The 7-Scenes dataset is a collection of tracked RGB-D camera frames. The dataset may be used for evaluation of methods for different applications such as dense tracking and mapping and relocalization techniques.
Hollywood 3D dataset: A dataset for benchmarking action recognition algorithms in natural environments, while making use of 3D information. The dataset contains around 650 video clips, across 14 classes.

Options:- A: SUNCG  B: 2D-3D Match Dataset  C: 7-Scenes  D: Hollywood 3D dataset
SUNCG