---
license: mit
---
The v0 dataset is designed to evaluate the capabilities of VLMs in a non-interactive manner. This initial version primarily serves to help readers understand the structure and design of our benchmark.

Each ability dimension is represented by a dedicated directory, and within each ability directory are multiple task-specific subdirectories. For each task, there are numerous data examples. Each example includes original multi-view images, segmented images for visual prompts, a corresponding language instruction, and the ground truth output skill sequence.

The tree constructions are as follows.
eval_vlm/
├── ability1/
│   ├── task1/
│   │   ├── example1
│   │   ├── example2
│   │   └── ...
│   ├── task2/ 
│   ├── ...
├── ability2/
│   ├── task1/
│   ├── ...
├── ...