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----
-license: other
-task_categories:
-  - computer-vision
-  - robotics
-  - reinforcement-learning
-
-tags:
-  - robotics
-  - manipulation
-  - embodied-ai
-  - imitation-learning
-  - rgbd
-  - realsense
-  - kitchen
-  - cooking
-  - human-demonstration
----
-
-# 🍳 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:
-
-📧 andy@dynamicnova.com
-
-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*