Given a short query with keyphrases about a research idea in 2012 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: Using a large number of XML excerpts related to images from the [DATASET] corpus

Keyphrases: multimedia indexing text (xml)

Dataset description:
RuSentRel: RuSentRel is a corpus of analytical articles translated into Russian texts in the domain of international politics obtained from foreign authoritative sources. The collected articles contain both the author's opinion on the subject matter of the article and a large number of references mentioned between the participants of the described situations.
SICK: The Sentences Involving Compositional Knowledge (SICK) dataset is a dataset for compositional distributional semantics. It includes a large number of sentence pairs that are rich in the lexical, syntactic and semantic phenomena.
TableBank: To address the need for a standard open domain table benchmark dataset, the author propose a novel weak supervision approach to automatically create the TableBank, which is orders of magnitude larger than existing human labeled datasets for table analysis. Distinct from traditional weakly supervised training set, our approach can obtain not only large scale but also high quality training data.
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.

Options:- A: RuSentRel  B: SICK  C: TableBank  D: ImageNet
ImageNet