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 summarize a long-length video by extracting key-shots. To alleviate the problem of

Keyphrases: unsupervised video summarization

Dataset description:
SumMe: The SumMe dataset is a video summarization dataset consisting of 25 videos, each annotated with at least 15 human summaries (390 in total).
BillSum: BillSum is the first dataset for summarization of US Congressional and California state bills. The BillSum dataset consists of three parts: US training bills, US test bills and California test bills.
ClipShots: ClipShots is a large-scale dataset for shot boundary detection collected from Youtube and Weibo covering more than 20 categories, including sports, TV shows, animals, etc. In contrast to previous shot boundary detection datasets, e.g.
TRIPOD: TRIPOD contains screenplays and plot synopses with turning point (TP) annotations for 99 movies. Each movie contains:   The Wikipedia plot synopsis (extended summary of 35 sentences on average) with sentence-level TP annotations.

Options:- A: SumMe  B: BillSum  C: ClipShots  D: TRIPOD
SumMe