VLABench/eval_vlm_v0

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/ │ ├── ... ├── ...