datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
kuka-iiwa-meta-kinematics-data
KUKA iiwa 14 Meta-Kinematics Datasets
Simulated joint–pose datasets for forward-kinematics learning across multiple DoF configurations of the KUKA iiwa 14, generated in Isaac Lab. Used in the FYP project / conference paper "Meta-Kinematics: Cross-DoF Transfer of Forward Kinematics on a Single Robot."
Files
File
Configuration
Sampling step
# samples
Tensor shape
5DOF_8deg.pt_part000.pt
5-DoF iiwa (joints 1–5 active)
8°
~15M
(15M, 14)
6DOF_12deg.pt_part000.pt… See the full description on the dataset page: https://huggingface.co/datasets/Chissanupong/kuka-iiwa-meta-kinematics-data.robot-kinematics-dataset
🤖 EgoCentric Multi-Episode Kinematics Trajectory Dataset
This repository contains multi-episode egocentric (first-person) video recordings paired with extracted 3D hand, wrist, and arm kinematics trajectories. The dataset is specifically structured for Imitation Learning (IL), Behavior Cloning (BC), Isaac Sim Kinematics Replay, and Reinforcement Learning Datasets (RLDS) training pipelines.
📌 Dataset Overview
Source Domain
Egocentric /… See the full description on the dataset page: https://huggingface.co/datasets/Radioception/robot-kinematics-dataset.Nexus-V11-Bollinger-Kinematics
Nexus-V11-Bollinger-Kinematics
🚀 Overview
Este é um dataset multimodal de alta precisão projetado para treinar Vision-Language Models (VLMs), como o Gemma 3, para identificar exaustão e oportunidades de trading institucional usando a estratégia de Bandas de Bollinger (filosofia Didi Aguiar).
O dataset foi gerado usando uma técnica de Hindsight Mining, onde um algoritmo identifica os topos e fundos perfeitos no futuro e captura o "snapshot" exato do momento da decisão no… See the full description on the dataset page: https://huggingface.co/datasets/SpaceGhost/Nexus-V11-Bollinger-Kinematics.mujoco-kinematics-probing
MuJoCo Kinematics — V-JEPA 2 Probing Dataset
Synthetic physics videos with exact per-frame ground-truth labels, generated to
probe whether video world models (V-JEPA 2 in particular) encode kinematic and
physical properties in their latent representations.
Research project: Do Video World Models Encode Kinematics? (CSE 493S).
Contents
10,000 clips across 5 scenarios (2,000 clips each)
Every clip: 4 seconds × 16 fps × 256×256 (64 frames) — matched to V-JEPA 2's input… See the full description on the dataset page: https://huggingface.co/datasets/Silicon23/mujoco-kinematics-probing.ainex-gapfill-kinematics-v1
AiNex Gap-Fill Kinematics v1
LeRobot-schema motion dataset for the Hiwonder AiNex 24-DOF humanoid,
covering the motion behaviors a bare walking-gait generator leaves out:
gait initiation/termination, idle-standing "life" (breathing, weight wander,
head glances), gaze control, in-place yaw steering, and shove-recovery
reflexes. Generated 2026-07-21.
What this is
5 episodes (one per "swagger" style — default, strut, sneak, march,
tired), 2,350 frames total (47.0s @… See the full description on the dataset page: https://huggingface.co/datasets/Brose21/ainex-gapfill-kinematics-v1.dlc_kinematicssocial-robotics-proxemic-kinematics
Social Robotics: Proxemic Kinematics (03d)
Did the bystander move toward (approach) or away from (retreat) the camera-wearer?
One layer of the Social-Affective Filter (SAF) — dehydrated social-signal metadata extracted from egocentric (first-person) video so robots can learn to read human reactions. No raw pixels and no audio. Each row is one source video, keyed by video_id; rehydrate against your own legally-obtained Ego4D copies (below).
Rows: 862 — videos in the evaluation… See the full description on the dataset page: https://huggingface.co/datasets/louisye/social-robotics-proxemic-kinematics.from_yaml_rand_100_improved_kinematics_264This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "ur5",
"total_episodes": 116,
"total_frames": 22505,
"total_tasks": 1,
"total_videos": 348,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:116"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/luebbet/from_yaml_rand_100_improved_kinematics_264.humanoid_inverse_kinematicshumanoid-kinematics-sequence-databasic-humanoid-kinematics-v2Kinematics