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: We propose a new video-based re-identification method, which does not

Keyphrases: video-based person re-identification

Dataset description:
Acronym Identification: Is an acronym disambiguation (AD) dataset for scientific domain with 62,441 samples which is significantly larger than the previous scientific AD dataset.
Market-1501: Market-1501 is a large-scale public benchmark dataset for person re-identification. It contains 1501 identities which are captured by six different cameras, and 32,668 pedestrian image bounding-boxes obtained using the Deformable Part Models pedestrian detector.
VeRi-776: VeRi-776 is a vehicle re-identification dataset which contains 49,357 images of 776 vehicles from 20 cameras. The dataset is collected in the real traffic scenario, which is close to the setting of CityFlow.
MARS: MARS (Motion Analysis and Re-identification Set) is a large scale video based person reidentification dataset, an extension of the Market-1501 dataset. It has been collected from six near-synchronized cameras.

Options:- A: Acronym Identification  B: Market-1501  C: VeRi-776  D: MARS
MARS