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: I want to train a supervised model for cross-lingual dialog state tracking.

Keyphrases: cross-lingual dialog state tracking text

Dataset description:
REFreSD: Consists of English-French sentence-pairs annotated with semantic divergence classes and token-level rationales.
Panlex: PanLex translates words in thousands of languages. Its database is panlingual (emphasizes coverage of every language) and lexical (focuses on words, not sentences).
SNIPS: The SNIPS Natural Language Understanding benchmark is a dataset of over 16,000 crowdsourced queries distributed among 7 user intents of various complexity:   SearchCreativeWork (e.g. Find me the I, Robot television show), GetWeather (e.g.
YouTube-8M: The YouTube-8M dataset is a large scale video dataset, which includes more than 7 million videos with 4716 classes labeled by the annotation system. The dataset consists of three parts: training set, validate set, and test set.

Options:- A: REFreSD  B: Panlex  C: SNIPS  D: YouTube-8M
Panlex