Embodied
Datasets
All datasets matching “Embodied”EmbodiedGenDatahttps://huggingface.co/spaces/HorizonRobotics/EmbodiedGen-Gallery-Explorer
Hy-Embodied-0.5-VLA-Data
Hy-Embodied-0.5-VLA
From Vision-Language-Action Models to a Real-World Robot Learning Stack
Tencent Robotics X × Tencent Hy Team
📖 Abstract
We introduce Hy-Embodied-0.5-VLA (Hy-VLA) — an end-to-end Vision-Language-Action system that spans the full robot learning stack: data collection, model design, pre-training, supervised fine-tuning, RL post-training, and real-world deployment. Built on the Hy-Embodied-0.5 MoT backbone, Hy-VLA integrates a flow-matching… See the full description on the dataset page: https://huggingface.co/datasets/tencent/Hy-Embodied-0.5-VLA-Data.mllm-as-embodied-world-judge
MLLM-as-Embodied-World-Judge
Data for judging physical adherence and instruction alignment of generated
embodied-manipulation videos.
Start here
path
what it is
final/
the current release — train.jsonl (11,520), test.jsonl (802), and its README
data/
source and generated videos, referenced by video_url in the splits
Benchmark tooling
path
what it is
bench/LEADERBOARD.md
judge results table
bench/TESTSET.md
benchmark… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFriends/mllm-as-embodied-world-judge.Embodied-Captioning
Embodied Image Captioning – Manually Annotated Test Set
Paper: Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions (ICCV 2025)Authors: Tommaso Galliena, Tommaso Apicella, Stefano Rosa, Pietro Morerio, Alessio Del Bue, Lorenzo NataleAffiliations: Italian Institute of Technology (IIT), University of GenoaProject Website: https://hsp-iit.github.io/embodied-captioningCode: https://github.com/hsp-iit/embodied-captioning
📦… See the full description on the dataset page: https://huggingface.co/datasets/TommyBsk/Embodied-Captioning.PhysicalAI-WorldModel-Synthetic-Embodied-Robot-Scenes
PhysicalAI WorldModel Synthetic Embodied Robot Scenes Dataset Card
Dataset Description
PhysicalAI WorldModel Synthetic Embodied Robot Scenes is a large-scale synthetic robotics video corpus generated from USD-based robotic simulation and rendering pipelines built around NVIDIA Isaac Sim, Omniverse, Isaac Lab, and related robot data-generation systems. It is designed to improve physical plausibility, embodiment persistence, task-conditioned robot behavior reasoning… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-WorldModel-Synthetic-Embodied-Robot-Scenes.Xlang-Embodied-dataset