You are provided with a research question, keyphrases about the question, a description of candidate datasets and dataset options. Read the description of popular datasets provided below and select the ones that can be used to validate the following research question. Use your knowledge of machine learning datasets to make the best judgement.
Your response should be formatted as a `json` array. For instance, for the query "Semi supervised image classification", a sample response might be: ["CIFAR-10", "CIFAR-100"]. Do not include any extra text in the response other than the answer array.

Query: We propose a semi-supervised framework for person re-identification. It utilizes the correlations

Keyphrases: person re-identification images

Dataset description:
P-DESTRE: Provides consistent ID annotations across multiple days, making it suitable for the extremely challenging problem of person search, i.e., where no clothing information can be reliably used. Apart this feature, the P-DESTRE annotations enable the research on UAV-based pedestrian detection, tracking, re-identification and soft biometric solutions.
VIPeR: The Viewpoint Invariant Pedestrian Recognition (VIPeR) dataset includes 632 people and two outdoor cameras under different viewpoints and light conditions. Each person has one image per camera and each image has been scaled to be 128×48 pixels.
CUHK02: CUHK02 is a dataset for person re-identification. It contains 1,816 identities from two disjoint camera views.
Airport: The Airport dataset is a dataset for person re-identification which consists of 39,902 images and 9,651 identities across six cameras.
Partial-iLIDS: Partial iLIDS is a dataset for occluded person person re-identification. It contains a total of 476 images of 119 people captured by 4 non-overlapping cameras.
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.
CUHK-PEDES: The CUHK-PEDES dataset is a caption-annotated pedestrian dataset. It contains 40,206 images over 13,003 persons.

Options:- A: P-DESTRE  B: VIPeR  C: CUHK02  D: Airport  E: Partial-iLIDS  F: Market-1501  G: CUHK-PEDES
["VIPeR", "Market-1501"]