| --- |
| tags: |
| - vlabench |
| - embodied-ai |
| - visual-question-answering |
| - robotics |
| - physbrain-evalkit |
| --- |
| |
| # VLABench VLM Evaluation Dataset |
|
|
| This dataset is the VLM evaluation split of [VLABench](https://vlabench.github.io/), prepared for reproducible VLABench evaluation with [PhysBrainEvalKit](https://github.com/DeepCybo-PhysAI/PhysBrainEvalKit). |
|
|
| ## Source |
|
|
| - Project page: <https://vlabench.github.io/> |
| - Paper: <https://arxiv.org/abs/2412.18194> |
| - Official code: <https://github.com/OpenMOSS/VLABench> |
|
|
| ## Directory layout |
|
|
| The dataset is organized by evaluation dimension and subtask: |
|
|
| ```text |
| vlm_evaluation_v1.0/ |
| ├── CommenSence/ |
| ├── Complex/ |
| ├── M&T/ |
| ├── PhysicsLaw/ |
| ├── Semantic/ |
| └── Spatial/ |
| ``` |
|
|
| Each subtask contains evaluation episodes, typically `example0` through `example99`: |
|
|
| ```text |
| <dimension>/<subtask>/example0/ |
| ├── input/ |
| │ ├── input.png |
| │ └── input_mask.png |
| ├── instruction/ |
| │ └── input_instruction.txt |
| ├── output/ |
| │ └── operation_sequence.json |
| └── env_config/ |
| ``` |
|
|
| The PhysBrainEvalKit evaluator requires `input/input.png`, `input/input_mask.png`, `instruction/input_instruction.txt`, and `output/operation_sequence.json`. The optional `env_config/` directory contains episode configuration files for users who want to reproduce the underlying simulation environment; it is not required for VLM scoring. |
|
|
| ## Use with PhysBrainEvalKit |
|
|
| Download or clone this dataset directory, then set its local path: |
|
|
| ```bash |
| export VLABENCH_DATASET_PATH=/path/to/vlm_evaluation_v1.0 |
| ``` |
|
|
| Run the VLABench benchmark from the PhysBrainEvalKit repository: |
|
|
| ```bash |
| python eval_vlabench.py \ |
| --model_path /path/to/qwen3_vl_model \ |
| --model_name qwen3-vl \ |
| --backbone qwen3 \ |
| --backend hf \ |
| --dataset_path "$VLABENCH_DATASET_PATH" |
| ``` |
|
|
| The standard launcher uses the same path automatically when `VLABENCH_DATASET_PATH` is set: |
|
|
| ```bash |
| bash scripts/eval_qwen3vl.sh \ |
| --model-path /path/to/qwen3_vl_model \ |
| --model-name qwen3-vl \ |
| --output-base /path/to/results \ |
| --gpus 0,1 \ |
| --only VLABench |
| ``` |
|
|
| ## Citation |
|
|
| If you use VLABench, please cite the original paper: |
|
|
| ```bibtex |
| @misc{zhang2024vlabench, |
| title={VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks}, |
| author={Shiduo Zhang and Zhe Xu and Peiju Liu and Xiaopeng Yu and Yuan Li and Qinghui Gao and Zhaoye Fei and Zhangyue Yin and Zuxuan Wu and Yu-Gang Jiang and Xipeng Qiu}, |
| year={2024}, |
| eprint={2412.18194}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.RO}, |
| url={https://arxiv.org/abs/2412.18194} |
| } |
| ``` |
|
|
| ## License and redistribution |
|
|
| VLABench data and media remain subject to the license and redistribution terms of the original project. Review the upstream repository before publishing a mirror or redistributing the files. |
|
|
