Given a short query with keyphrases about a research idea in 2016 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: VideoGAN: Generating Videos from Text

Keyphrases: video generation videos

Dataset description:
UCF101: UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These 101 categories can be classified into 5 types (Body motion, Human-human interactions, Human-object interactions, Playing musical instruments and Sports).
RoadText-1K: A dataset for text in driving videos. The dataset is 20 times larger than the existing largest dataset for text in videos.
Multi-Modal CelebA-HQ: Multi-Modal-CelebA-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA dataset by following CelebA-HQ. Each image has high-quality segmentation mask, sketch, descriptive text, and image with transparent background.
Microsoft Research Multimodal Aligned Recipe Corpus: To construct the MICROSOFT RESEARCH MULTIMODAL ALIGNED RECIPE CORPUS the authors first extract a large number of text and video recipes from the web. The goal is to find joint alignments between multiple text recipes and multiple video recipes for the same dish.

Options:- A: UCF101  B: RoadText-1K  C: Multi-Modal CelebA-HQ  D: Microsoft Research Multimodal Aligned Recipe Corpus
UCF101