You are provided with a research question, keyphrases about the question, a description of candidate datasets and dataset options. Read the description of popular datasets provided below and select the ones that can be used to validate the following research question. Use your knowledge of machine learning datasets to make the best judgement.
Your response should be formatted as a `json` array. For instance, for the query "Semi supervised image classification", a sample response might be: ["CIFAR-10", "CIFAR-100"]. Do not include any extra text in the response other than the answer array.

Query: We propose a two-stream architecture for video action classification that integrates two state-of-the-

Keyphrases: action classification video

Dataset description:
HMDB51: The HMDB51 dataset is a large collection of realistic videos from various sources, including movies and web videos. The dataset is composed of 6,766 video clips from 51 action categories (such as “jump”, “kiss” and “laugh”), with each category containing at least 101 clips.
Hollywood 3D dataset: A dataset for benchmarking action recognition algorithms in natural environments, while making use of 3D information. The dataset contains around 650 video clips, across 14 classes.
MECCANO: The MECCANO dataset is the first dataset of egocentric videos to study human-object interactions in industrial-like settings. The MECCANO dataset has been acquired in an industrial-like scenario in which subjects built a toy model of a motorbike.
LasVR: A large-scale video database for rain removal (LasVR), which consists of 316 rain videos.
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).
Stream-51: A new dataset for streaming classification consisting of temporally correlated images from 51 distinct object categories and additional evaluation classes outside of the training distribution to test novelty recognition.
MSU-MFSD: The MSU-MFSD dataset contains 280 video recordings of genuine and attack faces. 35 individuals have participated in the development of this database with a total of 280 videos.

Options:- A: HMDB51  B: Hollywood 3D dataset  C: MECCANO  D: LasVR  E: UCF101  F: Stream-51  G: MSU-MFSD
["HMDB51", "UCF101"]