Datasets:
Re-upload: FLU coordinates, headset (center-eye) pose and position, joint positions in FLU
Browse files- README.md +145 -145
- data/chunk_0000.parquet +2 -2
- data/chunk_0001.parquet +2 -2
- meta/info.json +34 -10
README.md
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---
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license: apache-2.0
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task_categories:
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- robotics
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tags:
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- lerobot
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- robotics
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- mixed-reality
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- bimanual
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- kitchen
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- manipulation
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- imitation-learning
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- demonstration
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/chunk_*.parquet
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pretty_name: 'WILD-Mani: Kitchen Edition'
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---
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# WILD-Mani: A Real-World Bimanual Manipulation Dataset – Kitchen Edition
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The first installment of the WILD-Mani series.
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* High-fidelity bimanual demonstrations collected in real-world kitchen environments using Mixed Reality (MR).
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* Designed to support Sim2Real transfer for bimanual manipulation tasks.
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* Current Domain: Kitchen
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-
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## Dataset Description
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This dataset contains human demonstrations of kitchen manipulation tasks captured using a Mixed Reality headset in **real-world kitchen environments**. The data tracks both hands simultaneously with 6-DOF pose tracking, enabling bimanual robot imitation learning research.
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-
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### Key Features
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-
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- **Real-world environments**: Demonstrations captured in actual kitchens (not simulation)
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- **Mixed Reality capture**: High-fidelity hand tracking in physical spaces
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- **Bimanual manipulation**: Both hands tracked simultaneously
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- **Camera view**: Single camera (center eye) per demonstration
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- **Diverse tasks**: Multiple kitchen manipulation tasks with varying complexity
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## Dataset Statistics
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| Property | Value |
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|----------|-------|
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| **Episodes** | 102 |
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| **Total Frames** | 79,244 |
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| **FPS** | 30 |
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| **Cameras** | 1 |
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| **Environment** | Real kitchen with lighting variations |
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## Task Categories
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| Category | Task | Objects | Actions | Demos |
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|----------|------|---------|---------|-------|
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| Meal Prep | Get item from fridge | Bottle, container | Open, pick, close, place | 24 |
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| Dish Organizing | Place cups on shelf | Cups (2-3) | Pick, place | 21 |
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| Dish Organizing | Put utensils in drawer | Fork, spoon, knife | Pick, open, place, close | 20 |
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| Meal Prep | Set table (plate + utensil) | Plate, fork, knife | Pick, place | 21 |
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## Diversity Dimensions
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| Dimension | Coverage | Details |
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|-----------|----------|---------|
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| **Actions** | 4+ types | Pick, place, open, close |
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| **Objects** | 15+ objects | Kitchen items varying in size, shape, material |
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| **Environment** | 1 kitchen | Natural light, artificial light, dim lighting |
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| **Surfaces** | 3 surfaces | Counter, dining table, shelf |
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| **Task Complexity** | Single + Multi-step | Pick-place (single) → Fridge sequence (multi-step) |
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| **Clutter** | Natural | Objects on counter, objects in fridge |
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## Data Format
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This dataset follows the **LeRobot v3.0** format.
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### Action Space (14D)
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The action space represents delta poses for both hands:
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| Dimensions | Description |
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|------------|-------------|
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| 0-2 | Left hand position delta (x, y, z) |
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| 3-6 | Left hand rotation delta (quaternion x, y, z, w) |
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| 7-9 | Right hand position delta (x, y, z) |
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| 10-13 | Right hand rotation delta (quaternion x, y, z, w) |
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-
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### Observation Space
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| Key | Shape | Description |
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|-----|-------|-------------|
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| `state` | (14,) | Combined left/right wrist poses |
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| `left_state` | (7,) | Left wrist pose (position + quaternion) |
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| `right_state` | (7,) | Right wrist pose (position + quaternion) |
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| `right_joint_poses` | (78,) | Right hand full skeleton (26 joints × 3D position) |
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| `left_joint_poses` | (78,) | Left hand full skeleton (26 joints × 3D position) |
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| `observation.images.center_eye` | (H, W, 3) | Center eye camera view |
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| `observation.action_label` | string | Per-frame action label (e.g. open, pick, place, close) |
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### Joint Order (26 joints per hand)
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palm, wrist, thumb_metacarpal, thumb_proximal, thumb_distal, thumb_tip, index_metacarpal, index_proximal, index_intermediate, index_distal, index_tip, middle_metacarpal, middle_proximal, middle_intermediate, middle_distal, middle_tip, ring_metacarpal, ring_proximal, ring_intermediate, ring_distal, ring_tip, little_metacarpal, little_proximal, little_intermediate, little_distal, little_tip
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## Recording Setup
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- **Headset**: Meta Quest 3 (Mixed Reality)
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- **Environment**: Real-world kitchen
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- **Tracking**: Full skeletal hand tracking (26 joints per hand) via Quest 3 hand tracking
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- **Cameras**: 1 camera (center eye view)
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- **Software**: Unity-based recording system
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## File Structure
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```
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.
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├── data/
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│ ├── chunk_0000.parquet
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│ └── chunk_0001.parquet
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├── meta/
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│ ├── info.json
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│ ├── stats.json
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│ └── episode_index.parquet
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├── videos/
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│ └── observation.images.center_eye/
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└── README.md
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```
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## License
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This dataset is released under the Apache 2.0 License.
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-
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## Citation
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If you use this dataset in your research, please cite:
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```bibtex
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@misc{kitchen_mr_manipulation,
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title={Kitchen Mixed Reality Manipulation Dataset},
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author={OOJU},
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year={2026},
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publisher={Hugging Face},
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howpublished={\url{https://huggingface.co/datasets/ooju/kitchen-vr-manipulation}}
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}
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```
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## Acknowledgments
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-
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Dataset collected using Mixed Reality hand tracking in real-world kitchen environments. Recording system built with Unity and Meta Quest.
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---
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| 2 |
+
license: apache-2.0
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| 3 |
+
task_categories:
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| 4 |
+
- robotics
|
| 5 |
+
tags:
|
| 6 |
+
- lerobot
|
| 7 |
+
- robotics
|
| 8 |
+
- mixed-reality
|
| 9 |
+
- bimanual
|
| 10 |
+
- kitchen
|
| 11 |
+
- manipulation
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| 12 |
+
- imitation-learning
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| 13 |
+
- demonstration
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| 14 |
+
configs:
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| 15 |
+
- config_name: default
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| 16 |
+
data_files:
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| 17 |
+
- split: train
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+
path: data/chunk_*.parquet
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| 19 |
+
pretty_name: 'WILD-Mani: Kitchen Edition'
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| 20 |
+
---
|
| 21 |
+
|
| 22 |
+
# WILD-Mani: A Real-World Bimanual Manipulation Dataset – Kitchen Edition
|
| 23 |
+
The first installment of the WILD-Mani series.
|
| 24 |
+
* High-fidelity bimanual demonstrations collected in real-world kitchen environments using Mixed Reality (MR).
|
| 25 |
+
* Designed to support Sim2Real transfer for bimanual manipulation tasks.
|
| 26 |
+
* Current Domain: Kitchen
|
| 27 |
+
|
| 28 |
+
## Dataset Description
|
| 29 |
+
|
| 30 |
+
This dataset contains human demonstrations of kitchen manipulation tasks captured using a Mixed Reality headset in **real-world kitchen environments**. The data tracks both hands simultaneously with 6-DOF pose tracking, enabling bimanual robot imitation learning research.
|
| 31 |
+
|
| 32 |
+
### Key Features
|
| 33 |
+
|
| 34 |
+
- **Real-world environments**: Demonstrations captured in actual kitchens (not simulation)
|
| 35 |
+
- **Mixed Reality capture**: High-fidelity hand tracking in physical spaces
|
| 36 |
+
- **Bimanual manipulation**: Both hands tracked simultaneously
|
| 37 |
+
- **Camera view**: Single camera (center eye) per demonstration
|
| 38 |
+
- **Diverse tasks**: Multiple kitchen manipulation tasks with varying complexity
|
| 39 |
+
|
| 40 |
+
## Dataset Statistics
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| 41 |
+
|
| 42 |
+
| Property | Value |
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| 43 |
+
|----------|-------|
|
| 44 |
+
| **Episodes** | 102 |
|
| 45 |
+
| **Total Frames** | 79,244 |
|
| 46 |
+
| **FPS** | 30 |
|
| 47 |
+
| **Cameras** | 1 |
|
| 48 |
+
| **Environment** | Real kitchen with lighting variations |
|
| 49 |
+
|
| 50 |
+
## Task Categories
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| 51 |
+
|
| 52 |
+
| Category | Task | Objects | Actions | Demos |
|
| 53 |
+
|----------|------|---------|---------|-------|
|
| 54 |
+
| Meal Prep | Get item from fridge | Bottle, container | Open, pick, close, place | 24 |
|
| 55 |
+
| Dish Organizing | Place cups on shelf | Cups (2-3) | Pick, place | 21 |
|
| 56 |
+
| Dish Organizing | Put utensils in drawer | Fork, spoon, knife | Pick, open, place, close | 20 |
|
| 57 |
+
| Meal Prep | Set table (plate + utensil) | Plate, fork, knife | Pick, place | 21 |
|
| 58 |
+
|
| 59 |
+
## Diversity Dimensions
|
| 60 |
+
|
| 61 |
+
| Dimension | Coverage | Details |
|
| 62 |
+
|-----------|----------|---------|
|
| 63 |
+
| **Actions** | 4+ types | Pick, place, open, close |
|
| 64 |
+
| **Objects** | 15+ objects | Kitchen items varying in size, shape, material |
|
| 65 |
+
| **Environment** | 1 kitchen | Natural light, artificial light, dim lighting |
|
| 66 |
+
| **Surfaces** | 3 surfaces | Counter, dining table, shelf |
|
| 67 |
+
| **Task Complexity** | Single + Multi-step | Pick-place (single) → Fridge sequence (multi-step) |
|
| 68 |
+
| **Clutter** | Natural | Objects on counter, objects in fridge |
|
| 69 |
+
|
| 70 |
+
## Data Format
|
| 71 |
+
|
| 72 |
+
This dataset follows the **LeRobot v3.0** format.
|
| 73 |
+
|
| 74 |
+
### Action Space (14D)
|
| 75 |
+
|
| 76 |
+
The action space represents delta poses for both hands:
|
| 77 |
+
|
| 78 |
+
| Dimensions | Description |
|
| 79 |
+
|------------|-------------|
|
| 80 |
+
| 0-2 | Left hand position delta (x, y, z) |
|
| 81 |
+
| 3-6 | Left hand rotation delta (quaternion x, y, z, w) |
|
| 82 |
+
| 7-9 | Right hand position delta (x, y, z) |
|
| 83 |
+
| 10-13 | Right hand rotation delta (quaternion x, y, z, w) |
|
| 84 |
+
|
| 85 |
+
### Observation Space
|
| 86 |
+
|
| 87 |
+
| Key | Shape | Description |
|
| 88 |
+
|-----|-------|-------------|
|
| 89 |
+
| `state` | (14,) | Combined left/right wrist poses |
|
| 90 |
+
| `left_state` | (7,) | Left wrist pose (position + quaternion) |
|
| 91 |
+
| `right_state` | (7,) | Right wrist pose (position + quaternion) |
|
| 92 |
+
| `right_joint_poses` | (78,) | Right hand full skeleton (26 joints × 3D position) |
|
| 93 |
+
| `left_joint_poses` | (78,) | Left hand full skeleton (26 joints × 3D position) |
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| 94 |
+
| `observation.images.center_eye` | (H, W, 3) | Center eye camera view |
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+
| `observation.action_label` | string | Per-frame action label (e.g. open, pick, place, close) |
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+
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+
### Joint Order (26 joints per hand)
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+
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palm, wrist, thumb_metacarpal, thumb_proximal, thumb_distal, thumb_tip, index_metacarpal, index_proximal, index_intermediate, index_distal, index_tip, middle_metacarpal, middle_proximal, middle_intermediate, middle_distal, middle_tip, ring_metacarpal, ring_proximal, ring_intermediate, ring_distal, ring_tip, little_metacarpal, little_proximal, little_intermediate, little_distal, little_tip
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| 100 |
+
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## Recording Setup
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+
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+
- **Headset**: Meta Quest 3 (Mixed Reality)
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| 104 |
+
- **Environment**: Real-world kitchen
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| 105 |
+
- **Tracking**: Full skeletal hand tracking (26 joints per hand) via Quest 3 hand tracking
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| 106 |
+
- **Cameras**: 1 camera (center eye view)
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| 107 |
+
- **Software**: Unity-based recording system
|
| 108 |
+
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+
## File Structure
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+
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+
```
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+
.
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├── data/
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│ ├── chunk_0000.parquet
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│ └── chunk_0001.parquet
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├── meta/
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│ ├── info.json
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│ ├── stats.json
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│ └── episode_index.parquet
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├── videos/
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│ └── observation.images.center_eye/
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└── README.md
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+
```
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+
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## License
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+
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+
This dataset is released under the Apache 2.0 License.
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+
|
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+
## Citation
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| 130 |
+
|
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+
If you use this dataset in your research, please cite:
|
| 132 |
+
|
| 133 |
+
```bibtex
|
| 134 |
+
@misc{kitchen_mr_manipulation,
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+
title={Kitchen Mixed Reality Manipulation Dataset},
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| 136 |
+
author={OOJU},
|
| 137 |
+
year={2026},
|
| 138 |
+
publisher={Hugging Face},
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+
howpublished={\url{https://huggingface.co/datasets/ooju/kitchen-vr-manipulation}}
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+
}
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+
```
|
| 142 |
+
|
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+
## Acknowledgments
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| 144 |
+
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+
Dataset collected using Mixed Reality hand tracking in real-world kitchen environments. Recording system built with Unity and Meta Quest.
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data/chunk_0000.parquet
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