MOT
Datasets
All datasets matching “MOT”MotionDecode
🆕 Open-Source Release: Unitree G1 Retargeted Data
!!We are releasing 1000 hours of robot-ready motion trajectories retargeted to the Unitree G1 humanoid. All data is provided in CSV format under the samples/ directory. Please indicate the source of the data when using it: from Chingmu.
ChingMu 1000-Hour Embodied Motion Dataset
High-precision optical motion capture data for humanoid robots, dexterous hands, embodied AI, and virtual production.… See the full description on the dataset page: https://huggingface.co/datasets/CMRobot/MotionDecode.xr-motion-dataset-catalogue
XR Motion Dataset Catalogue
Overview
The XR Motion Dataset Catalogue, accompanying our paper "Navigating the Kinematic Maze: A Comprehensive Guide to XR Motion Dataset Standards," standardizes and simplifies access to Extended Reality (XR) motion datasets. The catalogue represents our initiative to streamline the usage of kinematic data in XR research by aligning various datasets to a consistent format and structure.
Dataset Specifications
All datasets in this… See the full description on the dataset page: https://huggingface.co/datasets/cschell/xr-motion-dataset-catalogue.MotionBench
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
[🍎 Project Page] [📖 arXiv Paper] [📊 Dataset] [💻 GitHub] [🏆 Leaderboard] [🏆 HF Leaderboard]
MotionBench is a comprehensive evaluation benchmark designed to assess the fine-grained motion comprehension of video understanding models. It evaluates models' motion-level perception through six primary categories of motion-oriented question types and includes data… See the full description on the dataset page: https://huggingface.co/datasets/zai-org/MotionBench.Cauldron-JA
Dataset Card for The Cauldron-JA
Dataset description
The Cauldron-JA is a Vision Language Model dataset that translates 'The Cauldron' into Japanese using the DeepL API. The Cauldron is a massive collection of 50 vision-language datasets (training sets only) that were used for the fine-tuning of the vision-language model Idefics2.
To create a Japanese Vision Language Dataset, datasets related to OCR, coding, and graphs were excluded because translating them into Japanese… See the full description on the dataset page: https://huggingface.co/datasets/turing-motors/Cauldron-JA.MotionHub
MotionHub
MotionHub is a curated multi-domain human-motion dataset collection released for training and evaluating generalist motion models. The released version contains motion, language, music, speech, and two-person interaction supervision in a unified MotionHub annotation format.
This public release is used by VersatileMotion (ECCV 2026). Every subset listed below has been visually inspected, converted to the repository SMPL-H convention, re-split where needed, and uploaded… See the full description on the dataset page: https://huggingface.co/datasets/ZeyuLing/MotionHub.h2_retargeted_motions
H2 retargeted motions (full corpus)
129,785 Bones-SEED motions retargeted onto the Unitree H2 (31 DoF, 32
bodies) with SOMA Retargeter.
This is the corpus that trained
junsooki/h2_checkpoints.
A 10-clip sample for quick trials lives at
junsooki/h2_reference_motions.
Format
One joblib pickle per clip, keyed by motion name:
field
shape
meaning
dof
(T, 31)
joint angles, IsaacLab order
root_trans_offset
(T, 3)
root position, metres
root_rot
(T, 4)
root… See the full description on the dataset page: https://huggingface.co/datasets/junsooki/h2_retargeted_motions.