The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
index: int64
question: string
image: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
answer: string
category: string
l2_category: string
meta_info: struct<source: string, split: string, image_path: string>
child 0, source: string
child 1, split: string
child 2, image_path: string
passrate_for_qwen2.5_vl_7b: double
difficulty_level_for_qwen2.5_vl_7b: int64
-- schema metadata --
huggingface: '{"info": {"features": {"index": {"dtype": "int64", "_type":' + 557
to
{'index': Value('int64'), 'question': Value('string'), 'image': Image(mode=None, decode=True), 'answer': Value('string'), 'category': Value('string'), 'l2_category': Value('string'), 'meta_info': {'source': Value('string'), 'split': Value('string'), 'image_path': Value('string'), 'passrate_for_qwen2.5_vl_7b': Value('float64'), 'difficulty_level_for_qwen2.5_vl_7b': Value('int64')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1905, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 499, in _iter_arrow
for key, pa_table in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 346, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
index: int64
question: string
image: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
answer: string
category: string
l2_category: string
meta_info: struct<source: string, split: string, image_path: string>
child 0, source: string
child 1, split: string
child 2, image_path: string
passrate_for_qwen2.5_vl_7b: double
difficulty_level_for_qwen2.5_vl_7b: int64
-- schema metadata --
huggingface: '{"info": {"features": {"index": {"dtype": "int64", "_type":' + 557
to
{'index': Value('int64'), 'question': Value('string'), 'image': Image(mode=None, decode=True), 'answer': Value('string'), 'category': Value('string'), 'l2_category': Value('string'), 'meta_info': {'source': Value('string'), 'split': Value('string'), 'image_path': Value('string'), 'passrate_for_qwen2.5_vl_7b': Value('float64'), 'difficulty_level_for_qwen2.5_vl_7b': Value('int64')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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},
}
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