Omkar2118/datasets huggingface dataset:
BUAA-MIHR dataset
Full name: Large-scale-Multi-illumination-HR-Database

BUAA-MIHR dataset is a remote photoplethysmography (rPPG) dataset. BUAA-MIHR dataset for evaluation of remote photoplethysmography pipeline under multi-illumination situations. We recruited 15 healthy subjects (12 male, 3 female, 18 to 30 years old) in this experiment and a total number of 165 video sequences were recorded under various illuminations. The experiments were conducted in a darkroom in order to isolate from ambient light.

Introducing paper: Image Enhancement for Remote Photoplethysmography in a Low-Light Environment
AISIA-VN-Review-S
Full name: AISIA-VN-Review-F

In AISIA-VN-Review-S and AISIA-VN-Review-F datasets, we first collect 450K customer reviewing comments from various e–commerce websites. Then, we manually label each review to be either positive or negative, resulting in 358,743 positive reviews and 100,699 negative reviews. We named this dataset the sentiment classification from reviews collected by AISIA, the full version (AISIA-VN-Review-F). However, in this work, we are interested in improving the model’s performance when the training data are limited; thus, we only consider a subset of up to 25K training reviews and evaluate the model on another 170K reviews. We refer to this subset from the full dataset as AISIA-VN-Review-S. It is important to emphasize that our team spends a lot of time and effort to manually classify each review into positive or negative sentiments.

Introducing paper: Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification