LingBot-VLA
Collection
Vision-Language-Action Foundation Model • 5 items • Updated • 16
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A Multi-embodiments Benchmark
Thanks to GM-100, which provides 100 carefully designed tasks, we collect data across three robotic platforms to enable a systematic evaluation.
The dataset is stored in the Lerobot2.1 format.
Dataset Structure
.
├── AgiBotG1/ # Robot Platform
│ |── BM-001 # Task 1
│ │ ├── meta/
│ │ │ ├── info.json
│ │ │ ├── tasks.jsonl
│ │ │ └── ...
│ │ ├── videos/
│ │ │ └── chunk-000/
│ │ │ ├── observation.images.camera_top/
│ │ │ │ ├── episode_000000.mp4
│ │ │ │ ├── episode_000001.mp4
│ │ │ │ └── ...
│ │ │ ├── observation.images.camera_wrist_left/
│ │ │ │ ├── episode_000000.mp4
│ │ │ │ ├── episode_000001.mp4
│ │ │ │ └── ...
│ │ │ └── observation.images.camera_wrist_right/
│ │ │ ├── episode_000000.mp4
│ │ │ ├── episode_000001.mp4
│ │ │ └── ...
│ │ └── data/
│ │ └── chunk-000/
│ │ ├── episode_000000.parquet
│ │ ├── episode_000001.parquet
│ │ └── ...
│ |── BM-002 # Task 2
│ ├── ...
├── AgileX/
│ ├── ...
├── GalaxeaR1Pro/
│ ├── ...
└── ...
License Agreement
This project is licensed under the CC BY-NC-SA 4.0.
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Robot Platform
: AgileX Cobot Magic, Galaxea R1Pro, AgiBot G1
Data Format
: Lerobot2.1
Total file size:
1.61 TB