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.EmbodiedEvalThis repository contains the dataset of the paper EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents.
Github repository: https://github.com/thunlp/EmbodiedEval
Project Page: https://embodiedeval.github.io/
embodied-spatial-reasoning
Embodied Spatial Reasoning Tasks
Dataset Description
This dataset is part of the embodied-spatial-reasoning project, where the agent has to actively explore the environment to determine if certain spatial relationships hold true. The tasks involve spatial reasoning with various objects and scenes. Each task includes a query about the spatial relationships between objects within a scene, which the agent must verify through exploration.
Dataset Structure
The… See the full description on the dataset page: https://huggingface.co/datasets/thanhqt2002/embodied-spatial-reasoning.ChenLong_Embodied_Intelligence_Dataset
ChenLong Embodied Intelligence Dataset
本仓库用于统一管理辰龙机器人实习中的数据集、模型权重、训练结果和说明文档。后续新增不同任务、采集批次、模型版本或实验资源时，都放在这里统一维护。
当前目录
embodied_dataset/：具身智能采集数据集，采用 LeRobot v3.0 结构，包含 data/、meta/、videos/。
yolo_dataset/：YOLO 目标检测数据、模型权重、训练参数和评估结果，当前包含 blue_bucket_yolov8/。
待新增新的数据集或模型。
新增数据集要求
具身数据优先采用 LeRobot v3.0 格式：meta/info.json、meta/stats.json、tasks、episodes、逐帧 Parquet 数据和按相机划分的视频。新增数据集至少写清：
任务：任务文本、目标物、成功标准、失败标准。
硬件：机器人型号、自由度、夹爪、相机位置、分辨率、FPS。… See the full description on the dataset page: https://huggingface.co/datasets/vvzc/ChenLong_Embodied_Intelligence_Dataset.embodied_web_agent_outdoor_trajectoryEB-ALFRED_environment_anchored_prior_datasethan-embodied-motion-intention-dataset-v1
Embodied Motion Intention Dataset
This dataset maps intended actions to physical motion
for humanoid agents operating in real or simulated environments.
Use Cases
Motion planning
Intent-to-action mapping
Safer physical interaction
Fields
intention_label
environment_state
motion_priority
safety_flag
Part of
Humanoid Network (HAN)
License
MIT
EmbodiedRL-ZH具身智能强化学习，中文数据集建设，让理解物理世界的AGI加快到来！
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.EmbodiedVerse_requestsEB-ALFRED_external_knowledge_prior_datasetembodied-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.OXEembodied-video-rl