Given a short query with keyphrases about a research idea in 2018 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: This paper introduces a crowdsourcing system to annotate ancient Maya

Keyphrases: crowd-annotation maya glyphs text

Dataset description:
RONEC: Romanian Named Entity Corpus is a named entity corpus for the Romanian language. The corpus contains over 26000 entities in ~5000 annotated sentences, belonging to 16 distinct classes.
HappyDB: HappyDB is a corpus of 100,000 crowdsourced happy moments.
DROP: Discrete Reasoning Over Paragraphs DROP is a crowdsourced, adversarially-created, 96k-question benchmark, in which a system must resolve references in a question, perhaps to multiple input positions, and perform discrete operations over them (such as addition, counting, or sorting). These operations require a much more comprehensive understanding of the content of paragraphs than what was necessary for prior datasets.
Sketch: The Sketch dataset contains over 20,000 sketches evenly distributed over 250 object categories.

Options:- A: RONEC  B: HappyDB  C: DROP  D: Sketch
Sketch