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: In this paper, we study weakly-supervised semantic segmentation, where only image-

Keyphrases: weakly-supervised semantic segmentation

Dataset description:
Twitter100k: Twitter100k is a large-scale dataset for weakly supervised cross-media retrieval.
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.
TableBank: To address the need for a standard open domain table benchmark dataset, the author propose a novel weak supervision approach to automatically create the TableBank, which is orders of magnitude larger than existing human labeled datasets for table analysis. Distinct from traditional weakly supervised training set, our approach can obtain not only large scale but also high quality training data.
Cityscapes-VPS: Cityscapes-VPS is a video extension of the Cityscapes validation split. It provides 2500-frame panoptic labels that temporally extend the 500 Cityscapes image-panoptic labels.

Options:- A: Twitter100k  B: COCO  C: TableBank  D: Cityscapes-VPS
COCO