datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
human-motion-tracking-deeplabcutThis dataset is used to adapt DeepLabCut for Human motion tracking.
Structure of the dataset
videos contains 100+ videos of 4 candidates recorded during a game of darts.
labeled-data contains labels on the corresponding frames of the videos. These labels are used to adapt DeepLabCut for human motion tracking. Under labeled-data there are 2 folders for every video.
video_name has all the relevant frames extracted from the video, xy coordinates of the labels in the csv file and the… See the full description on the dataset page: https://huggingface.co/datasets/GT-Neuronext/human-motion-tracking-deeplabcut.human-motion-tracking-deeplabcutThis dataset is used to adapt DeepLabCut for Human motion tracking.
Structure of the dataset
videos contains 100+ videos of 4 candidates recorded during a game of darts.
labeled-data contains labels on the corresponding frames of the videos. These labels are used to adapt DeepLabCut for human motion tracking. Under labeled-data there are 2 folders for every video.
video_name has all the relevant frames extracted from the video, xy coordinates of the labels in the csv file and the… See the full description on the dataset page: https://huggingface.co/datasets/pratikshapai/human-motion-tracking-deeplabcut.animacy-human-motion
squaredcuber/animacy-human-motion
Canonical human conversational motion (animacy.human.v1, 30 Hz) captured with
animacy — the open interaction layer for
expressive robots. Each clip is motion.parquet (28 channels: head 6-DoF, gaze,
brows, eyes, mouth, torso, a puppet arm chain, speaking/validity flags),
audio.wav (16 kHz mono, same clock) and meta.json.
Retarget any clip to a robot with animacy retarget --robot <name>; robots are
one ROBOT.md each (Autonomous Lamp and Reachy… See the full description on the dataset page: https://huggingface.co/datasets/squaredcuber/animacy-human-motion.human_motionA_PROBE_HUMAN_MOTION_DATA_FOR_HUMANOID_CONTROL
A Probe — Human Motion Data for Humanoid Control
Markerless video-derived kinematics
A motion-data corpus built on one subject, filmed on one iPhone at up to 240 frames per second. Pose is extracted from the video with markerless software (MediaPipe-class models) — no suits, no markers, no lab. The corpus covers three movement categories under one protocol: percussion, everyday extreme motion, and sports tasks. Every take is a first recorded attempt, performed… See the full description on the dataset page: https://huggingface.co/datasets/chadfaulk/A_PROBE_HUMAN_MOTION_DATA_FOR_HUMANOID_CONTROL.animacy-human-motion-large
squaredcuber/animacy-human-motion-large
Canonical human conversational motion (animacy.human.v1, 30 Hz) captured at scale with
animacy — the open interaction layer for expressive robots.
Every clip is a directory clips/<shard>/<name>/ holding
motion.parquet — 28 channels: head 6-DoF, gaze, brows, eyes, mouth, torso, a puppet arm chain,
speaking / validity flags (schema: docs/CANONICAL.md in the repo);
audio.opus — the clip's audio, mono, Opus 32 kb/s from the 16 kHz capture… See the full description on the dataset page: https://huggingface.co/datasets/squaredcuber/animacy-human-motion-large.text-2-video-human-preferences-motion-v2-large
Human Preferences for AI-Generated Video: Motion Quality v2 (large)
115,732 pairwise human preference labels comparing 4 frontier video generation models on human motion across 3 quality dimensions, collected from real annotators via Datapoint AI.
This is an expanded version of the motion quality dataset with 417 unique prompts (up from 60) and 11 motion categories (up from 6).
Why This Dataset
Video generation models are improving fast, but evaluating human motion… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-2-video-human-preferences-motion-v2-large.Human_motion
Human whole body or hand movements
This dataset comprises SMPL-H body motion sequences reconstructed from third-person videos, as well as MANO hand motion sequences derived from ego-centric videos.
Data-format
whole_body:
"seq_name"/"file_name".npz
pose_body: (T, 63)
betas: (B)
root_orient: (T, 3)
trans: (T, 3)
"other parameters"
ego_hand:
Sample ego-centric hand motion clips.
Each sample has one .hdf5 annotation file and one same-name .mp4 source video.
The .hdf5… See the full description on the dataset page: https://huggingface.co/datasets/HORA-DB/Human_motion.privacy-preserving-real-world-human-motion-sample
Privacy-Preserving Real-World Human Motion Sample
A market-validation sample of anonymous 2D skeleton/pose observations derived from a real-world indoor CCTV stream.
Why this sample exists
We are validating demand for continuously collected, privacy-oriented real-world human-motion data before expanding to multi-camera releases.
Current public sample
750 public observations
derived pose/skeleton data
anonymous track identifiers
no raw RGB video
no… See the full description on the dataset page: https://huggingface.co/datasets/Ragab-Adel/privacy-preserving-real-world-human-motion-sample.MultiView-4D-Human-Motion-Dataset
Multi-View Continuous 4D Human Motion Dataset
Large-Scale 1080P Multi-View Human Motion Data for AI Research & Commercial Applications
10,000+
Total Hours
2,000+
Real-world Scenes
6,000+
Subject Instances
Dataset Scale
800+
Multi-Person Interactions (Hours)
2,200+
Dual-Person Actions (Hours)
7,000+… See the full description on the dataset page: https://huggingface.co/datasets/ZGTZ-2026/MultiView-4D-Human-Motion-Dataset.Event-Human-Motion-Tracking-Dataset
Dataset Card for Event Human Motion Tracking Dataset
Dataset Description
Dataset Summary
The Event Human Motion Tracking Dataset is a dataset designed for fine-grained human motion detection, tracking, and gait/pose analysis. Recorded with a 76° Field of View (FoV) event camera setup, the dataset explicitly evaluates the performance impact of Default vs. Optimized sensor bias parameters on background noise, visual clarity, and object tracking… See the full description on the dataset page: https://huggingface.co/datasets/MAli-Farooq/Event-Human-Motion-Tracking-Dataset.human-motion-raw-buffer-3d-2022
Raw Binary Data Buffer
Este repositório contém artefatos binários serializados para ingestão local e testes de I/O.
Os dados não possuem estrutura tabular legível e requerem decodificação proprietária para uso.
Status: Archival / Cold Storage
Format: Raw Binary (.bin)
text-2-video-human-preferences-motion
Human Preferences for AI-Generated Video: Motion Quality
29,283 pairwise human preference labels comparing 4 frontier video generation models on human motion across 3 quality dimensions, collected from 4,349 real annotators via Datapoint AI.
This is the largest publicly available human preference dataset focused specifically on human motion in AI-generated video.
Why This Dataset
Video generation models are improving fast, but evaluating human motion remains… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-2-video-human-preferences-motion.text-2-video-human-preferences-motion
Human Preferences for AI-Generated Video: Motion Quality
29,283 pairwise human preference labels comparing 4 frontier video generation models on human motion across 3 quality dimensions, collected from 4,349 real annotators via Datapoint AI.
This is the largest publicly available human preference dataset focused specifically on human motion in AI-generated video.
Why This Dataset
Video generation models are improving fast, but evaluating human motion remains… See the full description on the dataset page: https://huggingface.co/datasets/nusdufv/text-2-video-human-preferences-motion.human-motion-tracking-deeplabcutHuman-Motion-Video-for-Generative-Model
Human Motion Video for Generative Model
🎏 Introduction
TL; DR: With the rapid developments in generative models, including the diffusion-based or the flow-based models, the human-centric tasks, like pose-driven human image animation, audio-driven action generation, diffusion-based pose estimation, human optical estimation, etc., have attracted a lot of attention from lots of works.
In our recently works, we also pay attention to the quality of the training data of… See the full description on the dataset page: https://huggingface.co/datasets/gulucaptain/Human-Motion-Video-for-Generative-Model.human-motion-skeleton-sample
Human Motion Skeleton & Activity Dataset — Public Evaluation Sample
Release: human_motion_sample_2026_08_17_v2
A lightweight public evaluation sample of anonymized human motion data extracted from CCTV/RTSP video and converted into structured skeleton pose and motion metadata.
This public release is intentionally limited to help researchers, ML engineers, and AI teams evaluate the usefulness of the dataset before requesting access to a larger commercial dataset.… See the full description on the dataset page: https://huggingface.co/datasets/Ragab-Adel/human-motion-skeleton-sample.text-2-video-human-preferences-motion-v2-medium
Human Preferences for AI-Generated Video: Motion Quality v2 (medium)
57,866 pairwise human preference labels comparing 4 frontier video generation models on human motion across 3 quality dimensions, collected from real annotators via Datapoint AI.
This is an expanded version of the motion quality dataset with 417 unique prompts (up from 60) and 11 motion categories (up from 6).
Why This Dataset
Video generation models are improving fast, but evaluating human motion… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/text-2-video-human-preferences-motion-v2-medium.human_upperbody_motionsHuman-Motion-Capture