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: A linear attention model is presented for transformer-based language modeling.

Keyphrases: language modeling text

Dataset description:
LAMA: LAnguage Model Analysis (LAMA) consists of a set of knowledge sources, each comprised of a set of facts. LAMA is a probe for analyzing the factual and commonsense knowledge contained in pretrained language models.
LAG: Includes 5,824 fundus images labeled with either positive glaucoma (2,392) or negative glaucoma (3,432).
Visual Genome: Visual Genome contains Visual Question Answering data in a multi-choice setting. It consists of 101,174 images from MSCOCO with 1.7 million QA pairs, 17 questions per image on average.
WikiText-2: The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike License.

Options:- A: LAMA  B: LAG  C: Visual Genome  D: WikiText-2
WikiText-2