datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Dexterous-joint-collection-glove
Dexterous Joint Collection Glove — research archive
Full research collection (~6.5 GB) behind the design study of a low-cost, minimal exoskeleton glove for capturing human hand motion data at factory scale.
Design writeup + curated sources (GitHub): https://github.com/skr3178/Dexterous-joint-collection-glove
Blog post: https://skr3178.github.io/blog/2026/08/09/dexterous-joint-collection-glove/
The GitHub repo holds the light, curated subset (writeup readme.md, comparison… See the full description on the dataset page: https://huggingface.co/datasets/sangramrout/Dexterous-joint-collection-glove.egocentric-dexterous-manipulation-demo
OBayData Egocentric Dexterous Manipulation Demo
Dataset Summary
This is a demo dataset from OBayData, showcasing our egocentric dexterous manipulation data collection capabilities. It contains a curated subset of first-person human operation recordings captured with our multi-camera hardware setup across real-world scenarios.
This demo is intended for quality evaluation. Full-scale data collection is available as a managed service — see Production Data Service below.… See the full description on the dataset page: https://huggingface.co/datasets/obaydata/egocentric-dexterous-manipulation-demo.dexterous-hand-pick-and-placeHigh-Quality_Dexterous_Hand_Movements_Dataset
High-Quality Dexterous Hand Movements — sample
This Hugging Face dataset is a non-commercial sample export from the Quality Vision Motion Dataset Engine: MediaPipe Hands (21 landmarks) + optional dexterous analytics and hand motion_intelligence.
This is a sample, not the full commercial pack.For larger commercial batches (e.g. ~140k+ HQ frames, multiple clips segmented for specific dexterous motions), see Dataset pricing and contact info@qvision.space.
Files
This repo… See the full description on the dataset page: https://huggingface.co/datasets/Alaaharoun/High-Quality_Dexterous_Hand_Movements_Dataset.dexterous-hand-robot-urdf
灵巧手与机器人 URDF 汇总
下载日期：2026-07-10
已下载
wuji/：Wuji Hand 官方模型，URDF 位于 urdf/，包含左右手和 ROS 版本。
来源：https://github.com/wuji-technology/wuji-hand-description
shadowhand/：Shadow Robot 官方模型，入口位于 sr_description/robots/，并包含可直接使用的 MuJoCo URDF。
来源：https://github.com/shadow-robot/sr_common
xhand/：公开研究仓库中的 RobotEra XHand 右手模型，URDF 位于 robots/hands/xhand/。
来源：https://github.com/wengmister/dex-urdf-plus
注意：该模型不是 RobotEra 官方公开仓库版本。
sharpa/：Sharpa Wave 官方模型，URDF 位于… See the full description on the dataset page: https://huggingface.co/datasets/Jingrui77/dexterous-hand-robot-urdf.Dexterous_ee_91Dexterous_json_datadexterous_manipulation_60epneon-dexterous-hands-10k
neon-dexterous-hands-10k
Dexterous hands — 10K episodes of synthetic 14-DoF joint trajectories for Neon VLA training.
Description
Fine finger control: pinch, power grasp, precision grip, wave
Each episode contains:
language_instruction: Natural language task description
actions: JSON array of joint position trajectories (T × 14)
length: Episode length (timesteps)
Usage
import pyarrow.parquet as pq
table = pq.read_table("data.parquet")
df = table.to_pandas()… See the full description on the dataset page: https://huggingface.co/datasets/cagataydev/neon-dexterous-hands-10k.Dexterous_ee_91_fixdexterous_ee_56dexterous-grasping-memory-bank
Real-Robot Dexterous Grasping Memory Bank
Dataset Description
This dataset is a real-robot dexterous grasping memory bank constructed from physical grasping experiments on 102 object samples. It contains 1,020 successful terminal grasp records organised into ten JSON files. The dataset is intended to provide physically validated experience anchors for semantic-geometric retrieval and grasp-parameter generation.
Data Fields
Each record contains the… See the full description on the dataset page: https://huggingface.co/datasets/lution1019/dexterous-grasping-memory-bank.dexterous-rdp-cube-data
AutoDL Research Backup
Private migration backup from /root/autodl-tmp. Selection and restore metadata are in SebastianLZJ/autodl-server-archive.