metadata
task_categories:
- multiple-choice
- question-answering
- visual-question-answering
language:
- en
size_categories:
- 1K<n<10K
configs:
- config_name: val
data_files:
- split: val
path: mmstar.parquet
dataset_info:
- config_name: val
features:
- name: index
dtype: int64
- name: question
dtype: string
- name: image
dtype: image
- name: answer
dtype: string
- name: category
dtype: string
- name: l2_category
dtype: string
- name: meta_info
struct:
- name: source
dtype: string
- name: split
dtype: string
- name: image_path
dtype: string
- name: passrate_for_qwen2.5_vl_7b
dtype: float64
- name: difficulty_level_for_qwen2.5_vl_7b
dtype: int64
splits:
- name: val
num_bytes: 44831593
num_examples: 1500
MMStar with difficulty level tags
This dataset extends the 🤗 MMStar benchmark by introducing two additional tags: passrate_for_qwen2.5_vl_7b and difficulty_level_for_qwen2.5_vl_7b. Further details are available in our paper The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs.
🚀 Data Usage
from datasets import load_dataset
dataset = load_dataset("JierunChen/MMStar_with_difficulty_level")
print(dataset)
📑 Citation
If you find this benchmark useful in your research, please consider citing this BibTex:
@article{chen2024we,
title={Are We on the Right Way for Evaluating Large Vision-Language Models?},
author={Chen, Lin and Li, Jinsong and Dong, Xiaoyi and Zhang, Pan and Zang, Yuhang and Chen, Zehui and Duan, Haodong and Wang, Jiaqi and Qiao, Yu and Lin, Dahua and others},
journal={arXiv preprint arXiv:2403.20330},
year={2024}
}
@misc{chen2025synergydilemmalongcotsft,
title={The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs},
author={Jierun Chen and Tiezheng Yu and Haoli Bai and Lewei Yao and Jiannan Wu and Kaican Li and Fei Mi and Chaofan Tao and Lei Zhu and Manyi Zhang and Xiaohui Li and Lu Hou and Lifeng Shang and Qun Liu},
year={2025},
eprint={2507.07562},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2507.07562},
}