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🍳 Chinese Commercial Kitchen Manipulation Dataset — Preview Pack
Asia's first real commercial kitchen manipulation dataset.
Professional chef (20 years) · Real restaurant · RGB-D · Multi-view
Overview
This repository contains a preview pack of a real-world Chinese commercial kitchen manipulation dataset.
The dataset was collected in an operating restaurant environment using multi-view RGB and depth sensors. Unlike laboratory datasets, the recordings capture realistic cooking workflows, cluttered workspaces, variable lighting conditions, and natural human motion.
The current preview release contains screenshot samples only.
The complete dataset, including original videos, raw depth files, and future task collections, is available upon request.
Key Features
- Real commercial Chinese kitchen environment
- Professional chef with 20 years of experience
- Multi-view recording setup
- RGB + Depth data
- First-person (egocentric) perspective
- Suitable for:
- Embodied AI
- Robotic Manipulation
- Imitation Learning
- Human Action Recognition
- Visual-Language Action Models
- Grasp Planning Research
Preview Contents
RGB — Overhead View (/overhead)
Fixed Intel RealSense D435I camera mounted approximately 1.5 meters above the workstation.
Provides a complete view of:
- Ingredients
- Tools
- Both hands
- Cooking workspace
Depth Data — Colorized Preview (/depth)
Raw depth data was captured using an Intel RealSense D435I sensor.
Preview images are colorized visualizations generated from the original depth frames.
Depth format:
- HDF5
- Float32
- Metric depth (meters)
Point cloud reconstruction can be generated directly from the original depth recordings.
Task 1 — Cutting (/task_01_cutting)
Examples include:
- Vegetable cutting
- Meat cutting
Views:
- Egocentric (head-mounted camera)
- Side view camera
- Overhead RGB-D (Intel RealSense D435I, includes depth data)
Task 2 — Wok Stir-Fry (/task_02_stir_fry)
High-difficulty bimanual manipulation task involving:
- Ingredient handling
- Wok operation
- Continuous tool interaction
Views:
- Egocentric (head-mounted camera)
- Side view camera
Sensor Configuration
Three complementary viewpoints were recorded simultaneously:
| View | Resolution | Frame Rate |
|---|---|---|
| Egocentric | 3840 × 2160 (4K) | 29.97 fps |
| Side View | 1920 × 1080 | 60 fps |
| Overhead RGB-D | 1280 × 720 | 15 fps |
This multi-view setup captures both fine-grained hand-object interactions and global workspace context.
Available Data
| Content | Format | Status |
|---|---|---|
| Multi-view RGB Videos | MP4 | Available upon request |
| Depth Data | HDF5 (float32, meters) | Available upon request |
| RealSense Raw Recordings | .bag | Available upon request |
| Screenshot Preview Pack | PNG | Included in this repository |
Future Collection Tasks
Additional task categories are currently being planned and can be collected upon request.
Potential tasks include:
- Stewing
- Deep Frying
- Pan Frying
- Dumpling Folding
- Ingredient Preparation
- Kitchen Cleaning Procedures
Custom task collection may be available for research and commercial projects.
Collection Environment
Location
Zhongshan, Guangdong, China
Venue
Operating commercial Chinese restaurant
Operator
Professional chef with approximately 20 years of experience
Consent
Full informed consent obtained from all participants.
Dataset Applications
Potential applications include:
- Robotic Cooking Systems
- Embodied Foundation Models
- Visual Action Understanding
- Human Demonstration Learning
- Multi-modal Perception
- RGB-D Manipulation Research
- Human-Robot Collaboration
Access to Full Dataset
The complete dataset is not publicly hosted due to storage size limitations.
Available materials include:
- Multi-view MP4 recordings
- Original RealSense depth data
- Raw bag recordings
- Optional annotations
Researchers and organizations interested in accessing the complete dataset may contact:
Please include:
- Research topic
- Intended use case
- Preferred format (MP4 / HDF5 / RLDS / LeRobot)
Citation
If you use this dataset in academic or commercial research, please cite this repository.
Preview collected in May 2026
Nova Dynamics Limited
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