sunorme/Gen-EgoData

---
license: cc-by-sa-4.0
task_categories:
- robotics
- reinforcement-learning
language:
- en
- zh
tags:
- video
- vla
- dual-arm
- embodied intelligence
size_categories:
- 100B<n<1T
---
# Summary
1. This is a sample of our Gen EgoData.
2. The dataset contains 500 ego-centric samples with a total duration of 4.23h, including ego-SLAM pose information generated by our algorithm. The dataset covers household scenarios and includes 10 tasks, with 50 samples for each task, totaling 500 data samples.
3. More details about our ego data collection device can be found here:
https://www.genrobot.ai/products/ego

# Data Structure
The dataset follows a hierarchical structure to organize robotic manipulation behaviors. Each sample is described using four semantic levels: Domain, Scenario, Task, and Skill.
| Domain | Scenario | Task | Skill |
|--------|----------|------|-------|
| domestic_services | bedroom | clothing_organization | fold_clothes |
| domestic_services | bedroom | clothing_organization | fold_pants |
| domestic_services | kitchen | organization | organize_utensils |
| domestic_services | kitchen | organization | organize_plates_and_bowls |
| domestic_services | living_room | organization | organize_tabletop |
| domestic_services | living_room | organization | organize_medications |
| domestic_services | living_room | shoes_handling | organize_scattered_shoes |
| domestic_services | living_room | shoes_handling | lace_up_shoes |
| domestic_services | study | organization | organize_books |
| domestic_services | study | organization | organize_desk |

# Data Format and How to Load Data
The dataset is stored in .mcap files. Each .mcap file corresponds to a single skill instance and contains all associated multimodal data streams, including observations, actions, and metadata.
To load and parse the data, please use the official toolkit:
[GitHub - genrobot-ai/das-datakit](https://github.com/genrobot-ai/das-datakit)

# How to Vis Data
https://monitor.genrobot.click/#/index

# Contact Us
Any questions, suggestions or desired data collection scenarios/skills are welcome during usage. Let’s co-build this project to digitize all human skills. X：https://x.com/GenrobotAI Linkin：https://www.linkedin.com/company/108767412/admin/dashboard/ Email：[e-mail]