Omkar2118/datasets huggingface dataset:
Unity Synthetic Humans

A package for creating Unity Perception compatible synthetic people.

Introducing paper: AnthroNet: Conditional Generation of Humans via Anthropometrics
Sound-Dr
Full name: Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses

As the burden of respiratory diseases continues to fall on society worldwide, this paper proposes a high-quality and reliable dataset of human sounds for studying respiratory illnesses, including pneumonia and COVID-19. It consists of coughing, mouth breathing, and nose breathing sounds together with metadata on related clinical characteristics. We also develop a proof-of-concept system for establishing baselines and benchmarking against multiple datasets, such as Coswara and COUGHVID. Our comprehensive experiments
show that the Sound-Dr dataset has richer features, better performance, and is more robust to dataset shifts in various machine learning tasks. It is promising for a wide range of real-time applications on mobile devices. The proposed dataset and system will serve as practical tools to support healthcare professionals in diagnosing respiratory disorders. The dataset and code are publicly available here: https://github.com/ReML-AI/Sound-Dr/.

Introducing paper: Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses
CSPRD
Full name: Chinese Stock Policy Retrieval Dataset

The Chinese Stock Policy Retrieval Dataset (CSPRD) contains a Chinese policy corpus of 10,002 articles and 709 prospectus examples from 545 companies listed on China’s Science and Technology Innovation Board (STAR Market). CSPRD is bilingual in Chinese and English (Translated by ChatGPT) and is annotated by experienced experts from Shanghai Stock Exchange.

Introducing paper: CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market