Omkar2118/datasets huggingface dataset:
MedConceptsQA

MedConceptsQA - Open Source Medical Concepts QA Benchmark

The benchmark can be found here: 
https://huggingface.co/datasets/ofir408/MedConceptsQA

Introducing paper: MedConceptsQA: Open Source Medical Concepts QA Benchmark
Sen2venus
Full name: SEN2VENµS

SEN2VENµS is an open dataset for the super-resolution of Sentinel-2 images by leveraging simultaneous acquisitions with the VENµS satellite. The dataset is composed of 10m and 20m cloud-free surface reflectance patches from Sentinel-2, with their reference spatially-registered surface reflectance patches at 5 meters resolution acquired on the same day by the VENµS satellite. This dataset covers 29 locations with a total of 132 955 patches of 256x256 pixels at 5 meters resolution, and can be used for the training of super-resolution algorithms to bring spatial resolution of 8 of the Sentinel-2 bands down to 5 meters.
OLI2MSI

With the global availability of Multispectral Instrument (MSI, on-board Sentinel-2 satellite) data and Operational Land Imager (OLI, on-board Landsat-8 satellite) data which have 10 m and 30 m ground sample distance (GSD), respectively, it is conceivable that we can construct a dataset of LR-HR image pairs with OLI data as the LR image and MSI data as the HR image. This dataset, termed OLI2MSI, is a collection of paired real-world multisensor LR-HR data by carefully selecting relatively cloud-free MSI and OLI image in the same location obtained within a suitable temporal window.
SoccerNet-Echoes
Full name: SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset

SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset.

Introducing paper: SoccerNet-Echoes: A Soccer Game Audio Commentary Dataset
URFD Dataset
Full name: UR Fall Detection Dataset

This dataset contains 70 (30 falls + 40 activities of daily living) sequences. Fall events are recorded with 2 Microsoft Kinect (RGB + Depth) cameras and corresponding accelerometric data. ADL events are recorded with only one camera and accelerometer. Sensor data was collected using PS Move (60Hz) and x-IMU (256Hz) devices.

Introducing paper: Human fall detection on embedded platform using depth maps and wireless accelerometer
CinePile: A Long Video Question Answering Dataset and Benchmark

CinePile is a question-answering-based, long-form video understanding dataset. It has been created using advanced large language models (LLMs) with human-in-the-loop pipeline leveraging existing human-generated raw data. It consists of approximately 300,000 training data points and 5,000 test data points.

Introducing paper: CinePile: A Long Video Question Answering Dataset and Benchmark