Given a short query with keyphrases about a research idea in 2013 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: This paper proposes a method to dynamically enrich events using Semantic Web technologies. The method consists

Keyphrases: event enrichment

Dataset description:
HVU: HVU is organized hierarchically in a semantic taxonomy that focuses on multi-label and multi-task video understanding as a comprehensive problem that encompasses the recognition of multiple semantic aspects in the dynamic scene. HVU contains approx.~572k videos in total with 9 million annotations for training, validation, and test set spanning over 3142 labels.
SemanticPOSS: The SemanticPOSS dataset for 3D semantic segmentation contains 2988 various and complicated LiDAR scans with large quantity of dynamic instances. The data is collected in Peking University and uses the same data format as SemanticKITTI.
DiscoFuse: DiscoFuse was created by applying a rule-based splitting method on two corpora - sports articles crawled from the Web, and Wikipedia. See the paper for a detailed description of the dataset generation process and evaluation.
DBpedia: DBpedia (from "DB" for "database") is a project aiming to extract structured content from the information created in the Wikipedia project. DBpedia allows users to semantically query relationships and properties of Wikipedia resources, including links to other related datasets.

Options:- A: HVU  B: SemanticPOSS  C: DiscoFuse  D: DBpedia
DBpedia