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README_preview.md

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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*