Omkar2118/datasets huggingface dataset:
WebVid-CoVR

The WebVid-CoVR dataset is a collection of video-text-video triplets that can be used for the task of composed video retrieval (CoVR). CoVR is a task that involves searching for videos that match both a query image and a query text. The text typically specifies the desired modification to the query image. 

The WebVid-CoVR dataset is automatically generated from web-scraped video-caption pairs, using a language model to generate the modification text. The dataset contains 1.6 million triplets, with diverse content and variations. The dataset also includes a manually annotated test set of 2.5K triplets, which can be used to evaluate CoVR models.

Introducing paper: CoVR-2: Automatic Data Construction for Composed Video Retrieval
MIMIC-GAZE-JPG

1083 cases from the MIMIC-CXR dataset. For each case, a gray-scaled X-ray image with the size of around 3000x3000, eye-gaze data, and ground-truth classification labels are provided. These cases are classified into 3 categories: Normal, Congestive Heart Failure (CHF), and Pneumonia.

Introducing paper: GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification
TUR2SQL
Full name: TUR2SQL

The field of converting natural language into corresponding SQL queries using deep learning techniques has attracted significant attention in recent years. While existing Text-to-SQL datasets primarily focus on English and other languages such as Chinese, there is a lack of resources for the Turkish language. In this study, we introduce the first publicly available cross-domain Turkish Text-to-SQL dataset, named TUR2SQL. This dataset consists of 10,809 pairs of natural language statements and their corresponding SQL queries. We conducted experiments using SQLNet and ChatGPT on the TUR2SQL dataset. The experimental results show that SQLNet has limited performance and ChatGPT has superior performance on the dataset. We believe that TUR2SQL provides a foundation for further exploration and advancements in Turkish language-based Text-to-SQL research.

Introducing paper: TUR2SQL: A Cross-Domain Turkish Dataset For Text-to-SQL
MedShapeNet

MedShapeNet contains over 100,000 medical shapes, including bones, organs, vessels, muscles, etc., as well as surgical instruments. You can search, display them in 3D and download the individual shapes by using our shape search engine. Note that MedShapeNet is provided for research and educational purposes only.

Introducing paper: MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision