tags:
- vlabench
- embodied-ai
- visual-question-answering
- robotics
- physbrain-evalkit
VLABench VLM Evaluation Dataset
This dataset is the VLM evaluation split of VLABench, prepared for reproducible VLABench evaluation with 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:
vlm_evaluation_v1.0/
├── CommenSence/
├── Complex/
├── M&T/
├── PhysicsLaw/
├── Semantic/
└── Spatial/
Each subtask contains evaluation episodes, typically example0 through example99:
<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:
export VLABENCH_DATASET_PATH=/path/to/vlm_evaluation_v1.0
Run the VLABench benchmark from the PhysBrainEvalKit repository:
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 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:
@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.