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: SSRSC for subspace clustering.

Keyphrases: subspace clustering

Dataset description:
Hopkins155: The Hopkins 155 dataset consists of 156 video sequences of two or three motions. Each video sequence motion corresponds to a low-dimensional subspace.
DUC 2004: The DUC2004 dataset is a dataset for document summarization. Is designed and used for testing only.
ORL: The ORL Database of Faces contains 400 images from 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses).
WGISD: Embrapa Wine Grape Instance Segmentation Dataset (WGISD) contains grape clusters properly annotated in 300 images and a novel annotation methodology for segmentation of complex objects in natural images.
NewSHead: The NewSHead dataset contains 369,940 English stories with 932,571 unique URLs, among which there are 359,940 stories for training, 5,000 for validation, and 5,000 for testing, respectively. Each news story contains at least three (and up to five) articles.
WikiSem500: The WikiSem500 dataset contains around 500 per-language cluster groups for English, Spanish, German, Chinese, and Japanese (a total of 13,314 test cases).

Options:- A: Hopkins155  B: DUC 2004  C: ORL  D: WGISD  E: NewSHead  F: WikiSem500
["Hopkins155", "ORL"]