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: I want to build an automatic indexing system for biomedical articles using deep learning.

Keyphrases: biomedical article indexing text

Dataset description:
WMT 2016: WMT 2016 is a collection of datasets used in shared tasks of the First Conference on Machine Translation. The conference builds on ten previous Workshops on statistical Machine Translation.
WMT 2018: WMT 2018 is a collection of datasets used in shared tasks of the Third Conference on Machine Translation. The conference builds on a series of twelve previous annual workshops and conferences on Statistical Machine Translation.
New York Times Annotated Corpus: The New York Times Annotated Corpus contains over 1.8 million articles written and published by the New York Times between January 1, 1987 and June 19, 2007 with article metadata provided by the New York Times Newsroom, the New York Times Indexing Service and the online production staff at nytimes.com. The corpus includes:   Over 1.8 million articles (excluding wire services articles that appeared during the covered period).
BioASQ: BioASQ is a question answering dataset. Instances in the BioASQ dataset are composed of a question (Q), human-annotated answers (A), and the relevant contexts (C) (also called snippets).

Options:- A: WMT 2016  B: WMT 2018  C: New York Times Annotated Corpus  D: BioASQ
BioASQ