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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/ │ ├── ... ├── ...
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