Omkar2118/datasets huggingface dataset:
Trinity Speech-Gesture Dataset

**Trinity Gesture Dataset** includes 23 takes, totalling 244 minutes of motion capture and audio of a male native English speaker producing spontaneous speech on different topics. The actor’s motion was captured with 20 Viconcameras at 59.94 frames per second(fps), and the skeleton includes 69 joints.

Source: [https://trinityspeechgesture.scss.tcd.ie/data/](https://trinityspeechgesture.scss.tcd.ie/data/)
FZ queries
Full name: FindZebra queries

A set of 248 search queries annotated with the correct diagnosis. The diagnosis is referenced with a Concept Unique Identifier (CUI). In a retrieval setting, the task consists of retrieving an article from the FindZebra corpus with a CUI that matches the query CUI.

Introducing paper: Variational Open-Domain Question Answering
UICaption

**UICaption** is a dataset of 114k UI images paired with descriptions of their functionality. It is designed for the tasks of UI action entailment, instruction-based UI image retrieval, grounding referring expressions, and UI entity recognition.

Source: [Lexi: Self-Supervised Learning of the UI Language](https://arxiv.org/pdf/2301.10165v1.pdf)

Introducing paper: Lexi: Self-Supervised Learning of the UI Language
PIMA Diabetes Dataset with Paper, Experiments, and Code

Please refer to the following paper which includes a description of the dataset and a link to the dataset and the paper code:

Alain Hennebelle, Huned Materwal, and Leila Ismail, "HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing System", arXiv:2301.10450,  https://doi.org/10.48550/arXiv.2301.10450