| --- |
| task_categories: |
| - robotics |
|
|
| language: |
| - en |
|
|
| tags: |
| - motion-capture |
| - humanoid-robotics |
| - human-motion |
| - physical-ai |
| - whole-body-control |
| - nvidia-soma |
| - unitree-g1 |
| - bvh |
| - csv |
| - temporal-annotations |
| - imitation-learning |
| - motion-retargeting |
|
|
| pretty_name: Apple Arts Studios Motion Dataset |
|
|
| size_categories: |
| - 1K<n<10K |
|
|
| license: other |
| license_name: apple-arts-studios-motion-dataset-license |
| license_link: LICENSE.md |
|
|
| configs: |
| - config_name: metadata |
| data_files: |
| - split: train |
| path: "AAS_Metadata.csv" |
|
|
| extra_gated_heading: "Request Access to Apple Arts Studios Motion Dataset" |
|
|
| extra_gated_prompt: | |
| Please complete the questionnaire below and confirm your agreement with the Apple Arts Studios Motion Dataset License to request access. |
| |
| This dataset contains professionally captured and processed human motion data for AI, humanoid robotics, Physical AI, imitation learning, motion retargeting, animation, and related research. |
|
|
| **STUDENT VERIFICATION** |
|
|
| If you selected "Student" as your affiliation, you must complete Student ID verification before your access request can be approved. |
|
|
| **Submit your Student ID Card here**: |
| **https://script.google.com/macros/s/AKfycbz8_j4coqhtoHr5CVzd7xGiG_q5U7lklnl0TsZ7dPVOuzZ3I5I5JRl7rePsILtqLIkv/exec** |
|
|
| The verification form requires only your full name and a clear copy of your valid Student ID Card. |
|
|
| After submitting your Student ID Card, your Hugging Face access request will remain pending until it is reviewed by Apple Arts Studios. |
|
|
| For commercial licensing 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 Motion Dataset License: checkbox |
| --- |
| <p align="center"> |
| <img |
| src="https://huggingface.co/datasets/Appleartsstudios/Motion_Dataset/resolve/main/AAS_Logo.png" |
| alt="Apple Arts Studios Logo" |
| width="300" |
| > |
| </p> |
|
|
| # Apple Arts Studios Motion Capture Dataset |
|
|
| ## Dataset Overview |
|
|
| The **Apple Arts Studios Motion Capture Dataset** is a professionally captured, full-body human-motion dataset designed for: |
|
|
| - Artificial intelligence |
| - Humanoid robotics |
| - Motion generation |
| - Animation |
| - Simulation |
| - Action recognition |
| - Human-motion research |
|
|
| This release contains **5 hours of originally captured motion data**. |
|
|
| Left–right mirrored versions of the original motions are also included, increasing the total distributed duration to **10 hours**. |
|
|
| > **Original captured motion:** 5 hours |
| > **Mirrored motion augmentation:** 5 hours |
| > **Total distributed motion duration:** 10 hours |
|
|
| The mirrored motions are derived from the original recordings and should be treated as **data augmentation**, not as independently captured performances. |
|
|
| The dataset covers locomotion and full-body movement across: |
|
|
| - Flat rubbered floors |
| - Ramps |
| - Stairs |
| - Object-interaction environments |
|
|
| It includes multiple: |
|
|
| - Movement speeds |
| - Directions |
| - Body positions |
| - Transitions |
| - Movement styles |
| - Performer variations |
|
|
| Each motion is provided in the following representations: |
|
|
| - **SOMA Uniform BVH at 30 FPS** |
| - **Unitree G1 CSV** |
| - **JSON metadata** |
| - **Original and mirrored variants** |
| - **Structured environment, category, action, and actor hierarchy** |
|
|
| ## Dataset Origin |
|
|
| 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. |
|
|
| ## Data Tiers |
|
|
| Apple Arts Studios motion data is available in two tiers. This Hugging Face repository provides a public evaluation release from Tier 1. |
|
|
| ### Tier 1 — Segmented Motion Clips |
|
|
| Individually trimmed, cleaned, and training-ready clips. Each file contains one clearly defined action, separated by performer and variation, with T-poses, idle periods, and unrelated motion removed. |
|
|
| - Typical clip duration: **10–20 seconds** |
| - Formats: **SOMA Uniform BVH at 30 FPS** and **Unitree G1 CSV** |
| - Metadata: **Structured CSV and JSONL** |
| - Current release: **5 hours original + 5 hours mirrored = 10 hours** |
| - Full Tier 1 library: |
| - Original: **67 hours 04 minutes** |
| - Mirrored: **67 hours 04 minutes** |
| - Total: **134 hours 08 minutes** |
|
|
| ### Tier 2 — Full-Length Capture Sequences |
|
|
| Continuous motion-capture recordings that preserve the complete capture timeline, including T-poses, idle actions, transitions, resets, performer repositioning, and settle time between variations. |
|
|
| - Original: **195 hours 48 minutes** |
| - Mirrored: **195 hours 48 minutes** |
| - Total: **391 hours 36 minutes** |
|
|
| Synchronized witness-camera footage and OptiTrack Motive reference recordings are also available for the original capture sessions. |
|
|
| > **Note:** Tier 1 clips are segmented from the Tier 2 recordings and are not additional capture hours. Mirrored files are left-right augmented versions of the original motion and are not separately captured performances. Mirroring applies only to motion data, not to reference recordings. |
|
|
| ## Licensing and Access |
|
|
| This Hugging Face release is provided as a public evaluation sample. The complete Tier 1 library, Tier 2 full-length sequences, additional action categories, and custom motion-capture services are available under a commercial licence. |
|
|
| For licensing and dataset access: |
|
|
| - **Email:** hello@appleartsstudios.com |
| - **Website:** https://www.appleartsstudios.com/ |
|
|
| --- |
|
|
| ## Dataset Information |
|
|
| | Property | Description | |
| |---|---| |
| | **Dataset Provider** | Apple Arts Studios | |
| | **Dataset Type** | Full-body + fingers human motion capture | |
| | **Original Capture Duration** | 5 hours | |
| | **Mirrored Duration** | 5 hours | |
| | **Total Distributed Duration** | 10 hours | |
| | **Total Files** | 2,584 original and mirrored files combined | |
| | **Retargeted BVH Representation** | SOMA Uniform BVH | |
| | **SOMA Uniform Frame Rate** | 30 FPS | |
| | **Humanoid Robot Representation** | Unitree G1 | |
| | **Unitree G1 Format** | CSV | |
| | **Metadata Format** | JSON | |
| | **Motion Variants** | Original and mirrored | |
| | **Dataset Organization** | Environment, category, action, and actor | |
| | **Primary Applications** | AI, humanoid robotics, animation, simulation, and motion research | |
|
|
| --- |
|
|
| # Motion Representations |
|
|
|
|
| ## 1. SOMA Uniform BVH |
|
|
| The **SOMA Uniform BVH** files contain the same motions converted to the standardized SOMA Uniform skeletal representation. |
|
|
| These files are provided at **30 FPS** and use a consistent: |
|
|
| - Skeleton hierarchy |
| - Joint naming convention |
| - Bone structure |
| - Body proportion |
| - Reference representation |
|
|
| The standardized representation allows motions from different performers to be compared and processed using the same skeletal structure. |
|
|
| The SOMA Uniform representation may support: |
|
|
| - Motion-generation research |
| - Motion retrieval |
| - Skeletal representation learning |
| - Cross-actor motion comparison |
| - Standardized animation processing |
| - Human-motion machine learning |
| - Motion classification |
| - Motion prediction |
| - Motion embedding research |
|
|
| --- |
|
|
| ## 2. Unitree G1 CSV |
|
|
| The **Unitree G1 CSV** files provide motion data mapped to the Unitree G1 humanoid robot representation. |
|
|
| These files are intended for robotics research and may support: |
|
|
| - Human-to-robot motion retargeting |
| - Humanoid imitation learning |
| - Motion-policy development |
| - Simulation demonstrations |
| - Whole-body control research |
| - Physical-AI applications |
| - Reinforcement-learning research |
| - Robot-motion visualization |
|
|
| ### Important Safety and Compatibility Notice |
|
|
| The Unitree G1 CSV files should **not** be treated as immediately deployable robot-control commands. |
|
|
| --- |
|
|
| ## 3. JSON Metadata |
|
|
| Each motion is accompanied by structured **JSON metadata**. |
|
|
| The metadata may include: |
|
|
| - Motion identifier |
| - Motion name |
| - Action name |
| - Category |
| - Subcategory |
| - Actor identifier |
| - Take number |
| - Version number |
| - Motion representation |
| - Frame rate |
| - Frame count |
| - Duration |
| - Original or mirrored status |
| - Movement direction |
| - Movement speed |
| - Object or prop information |
| - Relative file path |
| - Capture-system information |
| - Skeleton information |
|
|
| The metadata connects the corresponding SOMA Uniform BVH, and Unitree G1 CSV representations of the same motion. |
|
|
| --- |
|
|
| # Frame-Rate Information |
|
|
| The dataset contains representation-specific frame rates. |
|
|
| | Representation | Frame Rate | |
| |---|---:| |
| | **SOMA Uniform BVH** | 30 FPS | |
| | **Unitree G1 CSV** | Recorded in the corresponding file metadata | |
|
|
| Users should **not assume that all distributed representations use the same frame rate**. |
|
|
| When comparing or synchronizing SOMA Uniform BVH, and Unitree G1 CSV files, users should account for: |
|
|
| - Resampling |
| - Frame indexing |
| - Frame count |
| - Motion duration |
| - Timestamp alignment |
| - Start-frame alignment |
| - Representation-specific processing |
|
|
| The filenames remain consistent across representations so that matching files can be identified and paired automatically. |
|
|
| --- |
|
|
| # Original and Mirrored Motions |
|
|
| The dataset contains both original and left–right mirrored motion files. |
|
|
| ## Original Motions |
|
|
| Original motions are captured performances processed through the Apple Arts Studios motion-capture pipeline. |
|
|
| ## Mirrored Motions |
|
|
| Mirrored motions are derived from the corresponding original motion by applying left–right motion transformation. |
|
|
|
|
| Mirrored files are identified in the metadata using the original or mirrored status. |
|
|
| A mirrored motion should remain connected to its original source motion through a corresponding source-motion identifier. |
|
|
| > Mirrored motions are included as augmented data and are not counted as separately captured performances. |
|
|
| --- |
|
|
| # Dataset Organization |
|
|
| The dataset is organized using a structured hierarchy based on: |
|
|
| 1. Motion representation |
| 2. Motion environment |
| 3. Original or mirrored status |
| 4. Surface or interaction type |
| 5. Action category |
| 6. Action name |
| 7. Actor identifier |
|
|
| Example structure: |
|
|
| ```text |
| AAS_Motion_Dataset/ |
| │ |
| ├── Soma_Bvh/ |
| │ └── Locomotions/ |
| │ ├── Original/ |
| │ └── Mirrored/ |
| │ |
| ├── Unitree_G1_Csv/ |
| │ └── Locomotions/ |
| │ ├── Original/ |
| │ └── Mirrored/ |
