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: I want to use weak supervision from character mentions to learn how to localize characters in the video and then

Keyphrases: movie description video

Dataset description:
Wikipedia Title: Wikipedia Title is a dataset for learning character-level compositionality from the character visual characteristics. It consists of a collection of Wikipedia titles in Chinese, Japanese or Korean labelled with the category to which the article belongs.
ImageNet: The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), a benchmark in image classification and object detection.
DramaQA: The DramaQA focuses on two perspectives: 1) Hierarchical QAs as an evaluation metric based on the cognitive developmental stages of human intelligence. 2) Character-centered video annotations to model local coherence of the story.
HLA-Chat: Models character profiles and gives dialogue agents the ability to learn characters' language styles through their HLAs.

Options:- A: Wikipedia Title  B: ImageNet  C: DramaQA  D: HLA-Chat
ImageNet