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: We introduce a new time series compression algorithm, which achieves state-of-the-

Keyphrases: time series compression

Dataset description:
Dialogue State Tracking Challenge: The Dialog State Tracking Challenges 2 & 3 (DSTC2&3) were research challenge focused on improving the state of the art in tracking the state of spoken dialog systems. State tracking, sometimes called belief tracking, refers to accurately estimating the user's goal as a dialog progresses.
ICB: A carefully chosen set of high-resolution high-precision natural images suited for compression algorithm evaluation. The images historically used for compression research (lena, barbra, pepper etc...) have outlived their useful life and its about time they become a part of history only.
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).
MSRC-12: The Microsoft Research Cambridge-12 Kinect gesture data set consists of sequences of human movements, represented as body-part locations, and the associated gesture to be recognized by the system. The data set includes 594 sequences and 719,359 frames—approximately six hours and 40 minutes—collected from 30 people performing 12 gestures.

Options:- A: Dialogue State Tracking Challenge  B: ICB  C: New York Times Annotated Corpus  D: MSRC-12
MSRC-12