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: Zero-shot SBIR using semantically aligned paired cycle-consistent generative model.

Keyphrases: zero-shot sbir images sketches

Dataset description:
Tasty Videos: A collection of 2511 recipes for zero-shot learning, recognition and anticipation.
Sketch: The Sketch dataset contains over 20,000 sketches evenly distributed over 250 object categories.
QA-SRL: QA-SRL was proposed as an open schema for semantic roles, in which the relation between an argument and a predicate is expressed as a natural-language question containing the predicate (“Where was someone educated?”) whose answer is the argument (“Princeton”). The authors collected about 19,000 question-answer pairs from 3,200 sentences.
LAD: LAD (Large-scale Attribute Dataset) has 78,017 images of 5 super-classes and 230 classes. The image number of LAD is larger than the sum of the four most popular attribute datasets (AwA, CUB, aP/aY and SUN).

Options:- A: Tasty Videos  B: Sketch  C: QA-SRL  D: LAD
Sketch