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metadata 
license: other
license_name: appleartsstudiosdatasetlicense
license_link: LICENSE
tags:
  - motion-capture
  - human-motion
  - humanoid-robotics
  - physical-ai
  - imitation-learning
  - motion-retargeting
  - whole-body-motion
  - bvh
  - robotics
  - character-animation
  - full-length-motion
  - continuous-motion
  - metadata
  - json
  - csv
pretty_name: Apple Arts Studios Full-Length Motion Capture Dataset
extra_gated_heading: Request Access to Apple Arts Studios Full-Length Motion Capture Dataset
extra_gated_prompt: >
  Please complete the questionnaire below and confirm your agreement with the
  Apple Arts Studios Dataset License to request access.


  This dataset contains approximately 199 hours and 30 minutes of full-length
  continuous motion capture data, provided as OptiTrack Motive Proportional BVH,
  accompanied by per-file metadata JSON files and a master metadata CSV.


  For commercial licensing, custom data preparation, format conversion, or other
  enquiries, contact us at hello@appleartsstudios.com.


  By submitting this form, you confirm that the information provided is accurate
  and agree to the dataset terms.
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      - Humanoid Robotics
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  I confirm that I agree with the Apple Arts Studios Dataset License: checkbox

Apple Arts Studios

Apple Arts Studios Full-Length Motion Capture Dataset

Dataset Overview

The Apple Arts Studios Full-Length Motion Capture Dataset is a professionally captured, full-body human-motion dataset containing approximately 199 hours and 30 minutes of continuous motion capture data.

Unlike segmented motion datasets, this repository preserves the complete capture sequences without separating individual actions into short clips.

The recordings retain their continuous capture timeline and may include:

  • T-pose calibration
  • Idle motion
  • Preparation movements
  • Transitions between actions
  • Performer repositioning
  • Repeated motion variations
  • Recovery and reset movements
  • Settle time between performances
  • Complete performed motion sequences

Released Data

The standard release available through this repository consists of:

  • OptiTrack Motive Proportional BVH
  • Per-file structured metadata JSON
  • Master dataset metadata CSV

The dataset therefore provides a full-length human-motion representation together with structured metadata for indexing, organization, analysis, and automated processing.

Total full-length captured motion: approximately 199 hours 30 minutes

The motion sequences in this repository are intentionally provided in continuous, non-segmented form.

Custom Data and Format Conversion

Apple Arts Studios can also provide project-specific motion-data preparation and format conversion upon client request.

Depending on project requirements and technical feasibility, motion data can be prepared for:

  • Alternative skeleton structures
  • Standardized motion representations
  • Client-specific BVH structures
  • AI and machine-learning pipelines
  • Humanoid robotics
  • Robot-specific motion representations
  • Simulation environments
  • DCC and character-animation workflows
  • Motion-retargeting pipelines
  • Research-specific schemas and data structures
  • Other project-defined formats

These additional representations are not included by default in this repository and can be prepared separately according to client requirements.

For custom format requirements, dataset preparation, or commercial enquiries, contact:

hello@appleartsstudios.com

Dataset Origin

This dataset was conceived, performed, captured, processed, and curated entirely in-house at Apple Arts Studios as part of our internal motion capture, AI, and robotics dataset development program.

All human motion performances were recorded at our own professional motion capture facility using an OptiTrack optical motion capture system.

The captured performances were processed and prepared for this release as:

  • OptiTrack Motive Proportional BVH
  • Per-file structured metadata JSON
  • Master dataset metadata CSV

The dataset preserves the full-length continuous capture takes, including calibration poses, transitions, idle periods, repositioning, preparation motion, performed actions, and other naturally occurring motion within the original capture timeline.

Dataset Statistics

Dataset Property Details
Total Motion Duration Approximately 199 hours 30 minutes
Data Type Full-length continuous motion capture
Segmentation Non-segmented
Motion Content T-pose, idle motion, preparation, transitions, repositioning, performed actions, recovery motion, and complete capture sequences
Human Motion Format OptiTrack Motive Proportional BVH
Per-file Metadata JSON
Dataset-level Metadata CSV
Primary Applications Humanoid robotics, Physical AI, imitation learning, motion retargeting, simulation, human-motion research, AI research, and animation

File Formats & Deliverables

The standard dataset release consists of Motive Proportional BVH motion files with corresponding structured metadata.

OptiTrack Motive Proportional BVH

The Motive Proportional BVH preserves human skeleton proportions and full-body motion exported from the OptiTrack Motive processing workflow.

Format: .bvh

Potential applications include:

  • Human motion analysis
  • Character animation
  • Motion retargeting
  • DCC workflows
  • AI and machine-learning research
  • Human motion modelling
  • Motion generation
  • Robotics research
  • Dataset processing

Per-File Metadata JSON

Each motion file is accompanied by a corresponding structured metadata file.

Format: .json

The JSON files are intended to provide structured information associated with individual motion sequences and support automated processing, indexing, and dataset management.

Master Metadata CSV

A master metadata table is provided for the complete dataset.

Format: .csv

The master CSV enables users to work with the entire dataset from a centralized index and can support:

  • Dataset searching
  • Filtering
  • File identification
  • Dataset statistics
  • Automated processing
  • AI/ML data loading
  • Motion organization
  • Dataset analysis

Custom Format Conversion

The standard repository release intentionally provides the data in OptiTrack Motive Proportional BVH format rather than distributing every available derived representation.

Apple Arts Studios can provide custom motion-data conversion and preparation services for projects requiring alternative representations.

Depending on the target application and technical feasibility, this may include preparation for:

  • Standardized human-motion skeletons
  • Alternative BVH structures
  • Humanoid robot embodiments
  • Robot-specific joint mappings
  • Simulation environments
  • AI and machine-learning frameworks
  • Motion-retargeting workflows
  • Character-animation pipelines
  • Research-specific motion structures
  • Custom client-defined data schemas

Custom conversion services are separate from the standard gated dataset release and may require technical evaluation, additional processing, licensing approval, or commercial arrangements.

For custom requirements, contact hello@appleartsstudios.com.

Full-Length Take Structure

This dataset preserves the complete motion capture take rather than extracting only the main performed action.

Depending on the recording, a full-length take may contain:

  • T-pose / calibration pose
  • Initial idle or standing motion
  • Preparation before the performance
  • Main performed action or action sequence
  • Transitions between movements
  • Repeated variations of an action
  • Natural performer repositioning
  • Recovery or reset movements
  • End-of-take idle / settle time

These elements are intentionally retained so researchers and developers can work with the continuous temporal structure of the original motion capture performance.

Non-Segmented Data

The motions in this repository are not divided into individual short action clips.

For example, a continuous capture may contain:

T-Pose → Idle → Preparation → Action → Transition → Action Variation → Repositioning → Recovery → Idle

This differs from a segmented motion dataset in which useful motion sequences are extracted and distributed as independent short clips.

The full-length format can support research involving:

  • Temporal motion understanding
  • Action segmentation
  • Motion transition modelling
  • Continuous behaviour learning
  • Sequence modelling
  • Automatic motion segmentation
  • Human activity recognition
  • Long-horizon imitation learning
  • Humanoid motion generation
  • Motion prediction
  • Motion representation learning

Dataset Directory Structure

The dataset is organized around full-length motion capture sequences.

Each Motive BVH can be associated with its corresponding metadata JSON using a consistent descriptive naming structure.

A typical repository structure is:

Full_Length_Motion_Capture_Dataset/
│
├── Motive_BVH/
│   ├── <Motion_Name>.bvh
│   ├── <Motion_Name>.bvh
│   └── ...
│
└── Metadata/
    │
    ├── JSON/
    │   ├── <Motion_Name>.json
    │   ├── <Motion_Name>.json
    │   └── ...
    │
    └── AAS_Full_Length_Metadata.csv

The actual motion files use descriptive motion-based filenames rather than generic sequential identifiers.

For example, the dataset does not rely on filenames such as:

Take_0001 Take_0002 Take_0003

Instead, filenames are structured to identify the captured motion or activity.

Capture & Processing Information

All motion data in this dataset was captured at Apple Arts Studios using a professional OptiTrack optical motion capture system.

The dataset preparation workflow includes:

  1. Optical full-body motion capture
  2. Marker tracking and reconstruction
  3. Skeleton solving and motion processing in OptiTrack Motive
  4. Proportional Motive BVH export
  5. Per-file metadata JSON generation
  6. Master metadata CSV generation
  7. Dataset validation
  8. Final full-length dataset packaging

Unlike a segmented motion dataset, the source capture sequences in this repository are retained as continuous full-length takes.

No action-based trimming or segmentation is applied to the released sequences.

Calibration poses, idle periods, preparation movements, transitions, repositioning, recovery motion, and other naturally occurring movement may therefore remain within the files.

Released Motion Representation

The standard motion representation distributed through this repository is:

Human Performance → Optical Motion Capture → OptiTrack Motive Processing → Motive Proportional BVH

Alternative standardized, retargeted, robot-specific, simulation-specific, or project-specific representations can be prepared separately by Apple Arts Studios upon client request.

Metadata and File Naming

Every motion file follows a descriptive and consistent naming convention designed to identify the captured motion directly from its filename.

The dataset does not depend on generic sequential filenames such as:

Take_0001, Take_0002, Take_0003

Instead, filenames are based on the actual motion or activity performed during capture.

Each Motive BVH file is associated with its corresponding metadata JSON using a consistent descriptive filename or motion identifier.

A master metadata CSV provides centralized indexing and dataset-level information across the complete collection.

Structured Metadata

Metadata is provided to support:

  • Dataset indexing
  • File identification
  • Motion organization
  • Search and filtering
  • Automated dataset processing
  • Data validation
  • AI and robotics data pipelines
  • Dataset-level analysis

Annotation Status

This release does not include manually created frame-level temporal annotations or action segmentation labels.

The motion files retain their full-length continuous structure, while descriptive file naming and structured metadata are provided to identify and organize the available motion data.

Researchers requiring temporal action boundaries or segmented clips can perform their own segmentation using the continuous sequences.

Intended Uses

The Apple Arts Studios Full-Length Motion Capture Dataset is designed for research, development, and experimentation involving continuous human motion.

Potential applications include:

  • Humanoid Robotics
  • Physical AI
  • Imitation Learning
  • Reinforcement Learning
  • Human-to-Robot Motion Retargeting
  • Whole-Body Control Research
  • Human Motion Modelling
  • Motion Generation
  • Motion Prediction
  • Continuous Motion Understanding
  • Action Segmentation Research
  • Sequence Modelling
  • Robotics Simulation
  • Character Animation
  • Motion Retargeting
  • Embodied AI Research
  • Human Activity Recognition
  • Motion Representation Learning

Because the dataset preserves full-length continuous performances, it can support workflows that require natural transitions, preparation movements, idle periods, recovery motion, and longer temporal sequences rather than isolated action clips.

Dataset Access

Access to the Apple Arts Studios Full-Length Motion Capture Dataset is provided through the Hugging Face gated dataset access system.

Users must submit an access request before downloading or using the dataset.

All access requests are manually reviewed by Apple Arts Studios.

Approval of an access request does not override the terms of the Apple Arts Studios Dataset License.

Users are responsible for reviewing and complying with the applicable license conditions before downloading or using any portion of the dataset.

Access may be evaluated based on the proposed:

  • Research use
  • Academic use
  • AI development
  • Robotics development
  • Physical AI research
  • Animation or simulation use
  • Commercial research
  • Other stated project requirements

For commercial licensing or specialized dataset requirements, contact:

hello@appleartsstudios.com

Dataset Limitations

This repository contains full-length, non-segmented motion capture sequences.

Users should be aware of the following characteristics:

  • Individual files may contain T-pose calibration, idle periods, preparation movements, transitions, repositioning, repeated actions, recovery movements, and settle time.
  • The motion data is not divided into short action-specific clips.
  • Users requiring isolated actions may need to perform their own temporal segmentation or trimming.
  • Motion duration and sequence composition may vary between files.
  • This repository does not provide manually created frame-level action annotations.
  • Users may need additional processing, retargeting, coordinate conversion, skeleton mapping, or format conversion depending on their target software, AI pipeline, simulator, character skeleton, or humanoid robot.
  • Compatibility and retargeting results may vary depending on the target system and processing workflow.

The dataset is intentionally provided in this full-length form to preserve the continuous structure and transitions of the original captured performances.

For projects requiring alternative or target-specific motion representations, custom data preparation and format conversion can be provided by Apple Arts Studios upon request, subject to technical feasibility and project requirements.

License and Usage Conditions

This dataset is distributed under the Apple Arts Studios Dataset License.

Access to the dataset does not transfer ownership of the data or grant unrestricted usage rights.

Users must comply with the terms defined in the applicable dataset license.

Commercial Use

Commercial use requires prior written approval from Apple Arts Studios.

Users intending to use the dataset for commercial products, commercial research, production systems, paid services, redistribution, derived commercial datasets, or other commercial activities must obtain the required authorization before use.

Attribution and Redistribution

Users should review the complete license terms for requirements relating to:

  • Attribution
  • Redistribution
  • Modification
  • Derived datasets
  • Commercial usage
  • Research usage
  • Dataset sharing
  • Publication
  • Distribution of derived results

The full Apple Arts Studios Dataset License should be reviewed before downloading or using any portion of this dataset.

Citation

If you use the Apple Arts Studios Full-Length Motion Capture Dataset in research, publications, demonstrations, or other permitted work, please cite the dataset and credit Apple Arts Studios as the dataset creator.

Suggested Citation

Apple Arts Studios. (2026). Apple Arts Studios Full-Length Motion Capture Dataset. Hugging Face.

BibTeX 

@misc{appleartsstudios_full_length_motion_2026,
  author       = {Apple Arts Studios},
  title        = {Apple Arts Studios Full-Length Motion Capture Dataset},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/Appleartsstudios/Full_Length_Motion_Capture_Dataset}}
}

For publications using substantial portions of the dataset, users are encouraged to clearly identify Apple Arts Studios as the source of the motion capture data.

Contact and Support

For:

  • Dataset access
  • Licensing
  • Commercial usage
  • Custom format conversion
  • Client-specific data preparation
  • Robotics data requirements
  • AI dataset requirements
  • Technical questions
  • Research collaboration
  • Commercial collaboration

contact:

Apple Arts Studios Email: hello@appleartsstudios.com

For gated access requests submitted through Hugging Face, please use the Request Access option available on this dataset repository.

Apple Arts Studios may request additional information regarding the intended use of the dataset before approving access.

Dataset Disclaimer and Ownership

This dataset, published by Apple Arts Studios, was conceived, performed, captured, processed, and curated entirely in-house at our own motion-capture facility for internal research and dataset development.

All motion capture data, processed motion representations, metadata, and associated dataset materials remain the intellectual property of Apple Arts Studios, subject to the terms of the Apple Arts Studios Dataset License.

The dataset is provided for approved research, development, academic, robotics, AI, animation, simulation, and related uses.

Availability through Hugging Face does not constitute a transfer of ownership or unrestricted permission to redistribute, resell, sublicense, or commercially exploit the dataset.

Users are responsible for ensuring that their use of the dataset complies with all applicable license terms and access conditions.