Datasets:
Modalities:
Image
Formats:
imagefolder
Size:
< 1K
Tags:
motion-capture
human-motion
humanoid-robotics
physical-ai
imitation-learning
motion-retargeting
License:
| 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. | |
| extra_gated_fields: | |
| First Name: text | |
| Last / Family Name: text | |
| Company / Institution: text | |
| Affiliation: | |
| type: select | |
| options: | |
| - Academic / University | |
| - Research Institution | |
| - Robotics / AI Company | |
| - Game / Animation / VFX Company | |
| - Independent Researcher | |
| - Student | |
| - Other | |
| Professional / Company Email: text | |
| Intended Use Case: | |
| type: select | |
| options: | |
| - Humanoid Robotics | |
| - Physical AI | |
| - Imitation Learning | |
| - Reinforcement Learning | |
| - Motion Retargeting | |
| - Robotics Simulation | |
| - Human Motion Research | |
| - Academic Research | |
| - Animation / Games / VFX | |
| - Commercial Research | |
| - Other | |
| Country: country | |
| I confirm that I agree with the Apple Arts Studios Dataset License: checkbox | |
| <p align="center"> | |
| <img src="Apple arts studios logo.jpg" alt="Apple Arts Studios" width="300"> | |
| </p> | |
| # **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](mailto: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](mailto: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: | |
| ```text | |
| 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](mailto: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 | |
| ```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](mailto: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. | |