datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
phyground
PhyGround: Benchmarking Physical Reasoning in Generative World Models
Project page ·
Paper ·
Evaluation code ·
PhyJudge-9B
PhyGround is a criteria-grounded benchmark for diagnosing physical failures in
generated video. It contains 250 prompts covering 13 observable physical
laws across solid-body mechanics, fluid dynamics, and optics. Each prompt is
paired with a first-frame image, 10 released generation configurations, and
applicable-law labels.
The Hub repository includes:… See the full description on the dataset page: https://huggingface.co/datasets/NU-World-Model-Embodied-AI/phyground.embodied-ai-conference-papers-2023-2025
Embodied AI Conference Papers 2023–2025
A dataset of 3,140 papers from 12 robotics conferences (CoRL 2023–2025, ICRA 2023–2025, IROS 2023–2025, RSS 2023–2025), processed with KNOWHERE.
Series
This collection of KNOWHERE-processed paper datasets is continuously expanding. New datasets and editions will be released — stay tuned!
Top ML Conference Papers
2023
https://huggingface.co/datasets/JensCS/top-ml-conference-papers-2023… See the full description on the dataset page: https://huggingface.co/datasets/JensCS/embodied-ai-conference-papers-2023-2025.Jai-World-VRM-3D-Embodied-AI
Jai World - VRM 3D Embodied AI
Interact with an AI powered 3D vrm avatar in a virtual world. A lightweight desktop folder-based Flask app that supports both Ollama and OpenRouter.
This project explores personalized 3D world generation, embodied AI, AI spatial navigation, and virtual character interaction. This code is a working example. It's a starting point that can be tuned and expanded.
Tech stack:
Three.js + HTML + CSS + JS + Flask + Ollama/OpenRouter (qwen3.5:9b/… See the full description on the dataset page: https://huggingface.co/datasets/vbookshelf/Jai-World-VRM-3D-Embodied-AI.embodied-ai-ai-agent
Embodied AI Agent Meta and Traffic Dataset in AI Agent Marketplace | AI Agent Directory | AI Agent Index from DeepNLP
This dataset is collected from AI Agent Marketplace Index and Directory at http://www.deepnlp.org, which contains AI Agents's meta information such as agent's name, website, description, as well as the monthly updated Web performance metrics, including Google,Bing average search ranking positions, Github Stars, Arxiv References, etc.
The dataset is helpful for AI… See the full description on the dataset page: https://huggingface.co/datasets/DeepNLP/embodied-ai-ai-agent.robotics-embodied-ai-physical-control-2026
🤖 Robotics, Embodied AI & Physical World Control Dataset (2026 Edition)
A structured research dataset featuring 2,123 domain-verified research papers and official code repositories focused on Vision-Language-Action Models (VLA), Humanoid Robotics, Quadruped Locomotion, Diffusion Policies, Sim-to-Real Transfer, and Physics Simulation Environments (Isaac Sim, MuJoCo, Genesis).
Built with Universal Scientific Engine V16.1 Gold, providing 43 schema attributes with verified… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/robotics-embodied-ai-physical-control-2026.1000-Segments-6-camera-Egocentric-Embodied-AI-Data-Sample
1000-Segments-6-camera-Egocentric-Embodied-AI-Dataset
Description
10,000-Hour Egocentric Full-Body Multimodal Dataset Purpose-built for fine-grained embodied AI manipulation training, spanning diverse real-world scenarios with high-definition stereoscopic video, full-body joint poses, and high-density semantic annotations.
For more details, please refer to the link: https://www.nexdata.ai/datasets/embodied-ai/2236?source=Huggingface
Specifications… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-AI/1000-Segments-6-camera-Egocentric-Embodied-AI-Data-Sample.