Given a short query with keyphrases about a research idea in 2017 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 system for social dialogue.

Keyphrases: open-domain social dialogue voice

Dataset description:
OpenSubtitles: OpenSubtitles is collection of multilingual parallel corpora. The dataset is compiled from a large database of movie and TV subtitles and includes a total of 1689 bitexts spanning 2.6 billion sentences across 60 languages.
MedDialog: The MedDialog dataset (Chinese) contains conversations (in Chinese) between doctors and patients. It has 1.1 million dialogues and 4 million utterances.
MEDIA: The MEDIA French corpus is dedicated to semantic extraction from speech in a context of human/machine dialogues. The corpus has manual transcription and conceptual annotation of dialogues from 250 speakers.
DiaBLa: A new English-French test set for the evaluation of Machine Translation (MT) for informal, written bilingual dialogue. The test set contains 144 spontaneous dialogues (5,700+ sentences) between native English and French speakers, mediated by one of two neural MT systems in a range of role-play settings.

Options:- A: OpenSubtitles  B: MedDialog  C: MEDIA  D: DiaBLa
OpenSubtitles