| --- |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| - zh |
| tags: |
| - embodied-ai |
| - robotics |
| - egocentric |
| - video |
| - 1000-hours |
| pretty_name: CJET EGO DATASET |
| extra_gated_prompt: "Please provide the following information to request access to this dataset. We will review your request within 2-3 business days." |
| extra_gated_fields: |
| Applicant Entity Type: |
| type: select |
| options: |
| - Company |
| - Academic/Research Institution |
| - Individual |
| - Other |
| Intended Use: |
| type: text |
| Contact Information: |
| type: text |
| Phone Number: |
| type: text |
| --- |
| |
| # CJET EGO DATASET (1000-Hour Embodied AI Dataset) |
|
|
| ## 📖 Overview |
|
|
| The **CJET EGO DATASET** is a large-scale, egocentric video dataset for Embodied AI, open-sourced by **Ningbo ChunJian Electronic Technology Co., Ltd. (ChunJian Tech)**. It contains approximately **1,000 hours** of first-person perspective video data. This dataset aims to accelerate research and development in embodied intelligence, robotic vision, and behavior understanding. |
|
|
| ## 🎬 Sample Preview |
|
|
| This preview is a single merged video: the **left panel** shows the left-eye RGB view, and the **right panel** shows the corresponding left-eye depth visualization. |
|
|
| <div align="center"> |
| <video controls loop autoplay muted playsinline preload="metadata" width="720" |
| src="https://huggingface.co/datasets/ChunJianElectron/DATASETS/resolve/main/Sample%20data%20for%20the%20left%20eye.mp4"> |
| </video> |
| <br/> |
| <sub>Left: left-eye RGB | Right: left-eye depth (colorized for visualization)</sub> |
| </div> |
|
|
| | Region | Modality | Description | |
| |---|---|---| |
| | Left | Left-eye RGB | First-person left-eye color video | |
| | Right | Left-eye Depth | Corresponding depth map, colorized for preview | |
|
|
|
|
| ## ⚠️ License & Restrictions |
|
|
| This dataset is licensed under the **CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)** license. |
|
|
| * **✅ Permitted**: Personal learning, academic research, and non-commercial model training. |
| * **❌ Strictly Prohibited**: Any form of commercial use, reselling, or unauthorized integration into commercial products. |
| * Any research outputs using this dataset must explicitly credit **Ningbo ChunJian Electronic Technology Co., Ltd. (ChunJian Tech)**. |
|
|
| ## 📝 How to Request Access |
|
|
| **This is a Gated Dataset. Due to the massive size of the data and the non-commercial license restrictions, you must submit an application and receive approval before downloading.** |
|
|
| 1. Ensure you are logged into your Hugging Face account. |
| 2. Agree to share your contact information and fill out the **Access Request Form** on this page. |
| 3. The form requires the following information: |
| * **Applicant Entity Type**: Company, Academic/Research Institution, Individual, or Other. |
| * **Intended Use**: Please describe your use case in detail (e.g., pre-training embodied foundation models, visual navigation research). |
| * **Contact Information**: Email address, phone number, or other preferred contact methods. |
| * **Phone Number**: Your contact phone number, including country code. |
| 4. Once the administrator approves your request, you will receive an email notification, and you can then download the dataset via `git` or the Hugging Face `datasets` library. |
|
|
| ## 📬 Contact Us |
|
|
| For any questions regarding the dataset or access requests, please contact: |
|
|
| * **Company**: Ningbo ChunJian Electronic Technology Co., Ltd. |
| * **Hugging Face Organization**: https://huggingface.co/ChunJianElectron |
| * **Email**: marketing@cjetec.com |
|
|
| ## 🤝 Commercial Cooperation |
|
|
| Ningbo ChunJian Electronic Technology Co., Ltd. provides **customized data collection services** and welcomes other forms of **commercial cooperation**. |
|
|
| If you are interested in commercial partnerships or need tailored datasets, please contact us directly via email at **marketing@cjetec.com**. |
|
|
| ## 🛠️ Usage |
|
|
| Once your access is approved, you can load the dataset as follows: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # You must configure your HF token after your access request is approved |
| dataset = load_dataset( |
| "ChunJianElectron/CJET_EGO_DATASET", |
| token="your_hf_token" |
| ) |
| ``` |
