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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
id: string
image: string
question: string
options: list<element: string>
  child 0, element: string
answer: string
knowledge-source: string
course: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 881
to
{'id': Value('string'), 'image_1': Value('string'), 'image_2': Value('string'), 'image_3': Value('string'), 'image_4': Value('string'), 'image_5': Value('string'), 'question': Value('string'), 'options': List(Value('string')), 'answer': Value('string'), 'knowledge-source': Value('string'), 'course': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1404, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 596, in fill_builder_info
                  num_examples_and_sizes: list[tuple[int, int]] = thread_map(
                                                                  ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
                  return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
                  return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/tqdm/std.py", line 1169, in __iter__
                  for obj in iterable:
                             ^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 619, in result_iterator
                  yield _result_or_cancel(fs.pop())
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 317, in _result_or_cancel
                  return fut.result(timeout)
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 456, in result
                  return self.__get_result()
                         ^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 401, in __get_result
                  raise self._exception
                File "/usr/local/lib/python3.12/concurrent/futures/thread.py", line 59, in run
                  result = self.fn(*self.args, **self.kwargs)
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 468, in retry_validate_get_num_examples_and_size
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 534, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 483086943 which exceeds the limit of 300000000
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                                  ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 691, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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 "/usr/local/lib/python3.12/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 "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              image: string
              question: string
              options: list<element: string>
                child 0, element: string
              answer: string
              knowledge-source: string
              course: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 881
              to
              {'id': Value('string'), 'image_1': Value('string'), 'image_2': Value('string'), 'image_3': Value('string'), 'image_4': Value('string'), 'image_5': Value('string'), 'question': Value('string'), 'options': List(Value('string')), 'answer': Value('string'), 'knowledge-source': Value('string'), 'course': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1427, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 993, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

id
string
image_1
string
image_2
string
image_3
string
image_4
string
image_5
string
question
string
options
list
answer
string
knowledge-source
string
course
string
52011046_4
null
null
null
null
null
Set\( M = \{ f(x), f'(x), f''(x), \cdots \} \), then the following can be expressions of\( f(x) \) are ()
[ "\\(\\sin x\\)", "\\(e^x\\)", "\\(\\ln x\\)", "\\(x^2 + 2x + 3\\)" ]
C
ι›†εˆδΈŽεΈΈη”¨ι€»θΎ‘η”¨θ―­
math
52011046_17
null
null
null
null
null
Given the sets \( A = \left\{ x \mid x = \frac{k}{2} + \frac{1}{4}, k \in \mathbb{Z} \right\} \), \( B = \left\{ y \mid y = \frac{l}{4} + \frac{1}{2}, l \in \mathbb{Z} \right\} \), then ( )
[ "\\( A \\cap B = \\emptyset \\)", "\\( A = B \\)", "\\( A \\not\\subseteq B \\)", "\\( B \\not\\subseteq A \\)" ]
C
ι›†εˆδΈŽεΈΈη”¨ι€»θΎ‘η”¨θ―­
math
52011046_45
iVBORw0KGgoAAAANSUhEUgAAAXcAAAFXCAYAAABZbA7IAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAGAKSURBVHhe7Z0HmFRVtrb194a54+gY0FGMIAaCCgZUlCAgSVCSoICAJEEFARUJioKogCiSlKAIiAgIkiQIChIEEyKiGEDEgNk7zui9c+em/d93Oatmd1EN3U3VqRPW9zz7aaiuqj5n77W/s/aKBzmDwWAwxA5G7gaDwRBDGLkbDAZDDGHkbjAYDDGEkbvBYDDEEEbuBoPBEEMY...
null
null
null
null
<image_1>If the Venn graph representing the relationship between sets\( M \) and\( N \) is as shown in the graph, then\( M, \, N \) may be ()
[ "\\( M = \\{0, 2, 4, 6\\}, \\, N = \\{4\\} \\)", "\\( M = \\{x \\mid x^2 < 1\\}, \\, N = \\{x \\mid x > - 1\\} \\)", "\\( M = \\{x \\mid y = \\log x\\}, \\, N = \\left\\{y \\mid y = e^x + \\frac{1}{e^x}\\right\\} \\)", "\\( M = \\{(x, y) \\mid x^2 = y^2\\}, \\, N = \\{(x, y) \\mid y = x\\} \\)" ]
BCD
ι›†εˆδΈŽεΈΈη”¨ι€»θΎ‘η”¨θ―­
math
52011047-1_15
null
null
null
null
null
Assuming that "Physics is good, mathematics is good" is a true proposition, then the following propositions are correct ()
[ "Good physics may not necessarily be good mathematics", "Good mathematics may not necessarily be good physics", "Poor mathematics must be bad physics", "Physics is bad, mathematics is bad" ]
BC
ι›†εˆδΈŽεΈΈη”¨ι€»θΎ‘η”¨θ―­
math
50948433-1_16
iVBORw0KGgoAAAANSUhEUgAAAWIAAAFkCAYAAAAaBTFnAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAETpSURBVHhe7Z0HuBTFtrbPNSdMqBhQBEVUUBG8BsziFSUoAornehRRMKJiDpgJKhzFHDCigooeVDyKAcVAMIFiRBSJegWPmPO5t/7nXf/U2Ay9957ae0L37O99nnpgd1f3THet/qZ61apVf3FCCCHKioRYCCHKjIRYCCHKjIRYCCHKjIRYCCHKjIRYCCHKjIRYCCHKjIRYCCHK...
iVBORw0KGgoAAAANSUhEUgAAAU8AAAF/CAYAAADJt0tfAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAADlaSURBVHhe7Z0J3FVz/sfHkC1knaxRlLRhNFSK7KNSSSgZS8oSjSRlNEqWlJRMoaJlEJGtlEjWGq0mWpTRZgnJUpR95vf/v3/d33Ge2733uc+59z733HM/79fr96rnbM99zvmd9/2t39/vjBBCiDIjeQohRAAkTyGECIDkKYQQAZA8hRAiAJKnEEIEQPIUQogASJ5CCBEAyVMI...
iVBORw0KGgoAAAANSUhEUgAAAJoAAACwCAYAAAD3yHdHAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAABM3SURBVHhe7Z0JtFXTH8eb1Ku0ECmFpHrpicxUKFSUNBhWJWSMUkloQin0TA2EWg2SWsjUYKoIaUCGhBIpQqJQIrP2///5uee5ve57vfveufudve/vs9ZZ9c65wxm+d+/9G/ZvlzCKYgEVmmIFFZpiBRWaYgUVmmIFFZpiBRWaYgUVmmIFFZpiBRWaYgUVmmIFFZpiBRWaYoV8...
iVBORw0KGgoAAAANSUhEUgAAAYMAAAGVCAYAAAAc652UAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAFOcSURBVHhe7Z0JvFXj/v9/l26IJHSVKfkhIpkyJZHMRZlK13gRFeGWoZQxyS1zmRLqphtXpJLI0IBKKkOh6C9TVCQkXe7vPv/7/q7zrNbZ9j6dszrD3mt93q/X8zq199rrnP2s53k+z/Ad/scJIYRIPRIDIYQQEgMhhBASAyGEEP9FYiCEEEJiIIQQQmIghBDiv0gMhBBCSAyE...
null
Given\( a > 0 \) and\( a \neq e \), then the image of the function\( f(x) = e^x - a \ln x \) may be ()
[ "<image_1>", "<image_2>", "<image_3>", "<image_4>" ]
BCD
ε‡½ζ•°δΈŽε―Όζ•°
math
51626976-1_23
null
null
null
null
null
Let\( m \) be a real number other than 0, and the function\( f(x) = \begin{cases} |3x - 1|, & x \leq 2 \\ x^2 - 10x + 24, & x > 2 \end{cases} \), if the function\( F(x) = 2[f(x)]^2 - m f(x) \) has 7 zeros, then the value range of\( m \) is ()
[ "\\((-2,0) \\cup (0,16)\\)", "\\((0,16)\\)", "\\((0,2)\\)", "\\((-2,0) \\cup (0, +\\infty)\\)" ]
C
ε‡½ζ•°δΈŽε―Όζ•°
math
51484881-1_23
null
null
null
null
null
If the function\( y = f(x) \) satisfies a set\( A \) within the domain, and for any\( x \in A \),\( e^x [f(x) - e^x] \) is a constant\( a \), then\( f(x) \) is said to have the property\( M \) on\( A \). Let\( y = g(x) \) be a function with the property of\( M \) on the interval\([-2, 2]\), and for any\( x_1, x_2 \in [...
null
\([-e^4, e^4]\)
ε‡½ζ•°δΈŽε―Όζ•°
math
52105556-1_25
null
null
null
null
null
In\(\triangle ABC\), the edges bounded by the angles\(A, B, C\) are\(a, b, c\) respectively, and satisfy\[\frac{\sqrt{3}b \sin A}{1 + \cos B} = a\]. Find the value range of\(\sin A \sin C +\sin B \sin C + \sin B \sin A\).
null
\[\left[ \frac{3}{4}, \frac{9}{4} \right]
δΈ‰θ§’ε‡½ζ•°δΈŽθ§£δΈ‰θ§’ε½’
math
52105556-1_18
iVBORw0KGgoAAAANSUhEUgAAAVwAAAD1CAIAAACTENrpAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAgAElEQVR4nO29eUCM6///3z3TNlNN+77SqiRFKrRbUyhUOnZZsuREenOsWRLHkkjkZAmpROFQaFHanfaiRKV935tptvv+/XF/f30IaZmapevxF7Nc12umuZ/367qu1wIhCMIFAAAA/z8YZhsAAABYCyAKAADgO4AoAACA7wCiAAAAvgOIAgAA+A4gCmwPOD8CMBZuZhsAGAiCIEQisb6+vqampr6+3traWlJSEoIgBEHq6+tjYmIM...
null
null
null
null
<image_1>Given the function\( f(x) = A \sin(\omega x + \varphi) (A &gt; 0, \omega &gt; 0, 0 &lt; \varphi &lt; \pi) \), if the partial image of\( f(x) \) and its derivative function\(f'(x) \) is as shown in the figure, then ()
[ "\\( f(x + \\pi) = f(x) \\)", "Function\\( f(x) \\) monotonically decreases on\\(\\left( \\frac{\\pi}{12}, \\frac{7\\pi}{12} \\right)\\)", "The image of\\(f'(x) \\) is symmetric about the center of the point\\(\\left( -\\frac{\\pi}{6}, 0 \\right)\\)", "The maximum value of\\( f(x) + f'(x) \\) is\\(\\frac{5}{2...
AB
δΈ‰θ§’ε‡½ζ•°δΈŽθ§£δΈ‰θ§’ε½’
math
52105556-1_9
iVBORw0KGgoAAAANSUhEUgAAASkAAACSCAIAAACWgavXAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAf6ElEQVR4nO3dfTxU6f8/8Dkzg3F/N0wlCSMqRJtUbAkV+0FYpa3Ntps2EpUUm0ht5SbtJ1ZWN1t2P25S2BRlLe2ute26aRUpCU1EBuN+7mfO9f3jfH5+PdTupxvmjHE9/9rHOO15D/Oa65zrus51IQAAAgRBEkfEuwAImqJg9iAIHzB7EIQPmD0IwgfMHgThg4zXiVEUBQAgCEIkEgkEAgAAAICiKIlEQhAEO2BkZARFUQ0NDbyK...
iVBORw0KGgoAAAANSUhEUgAAASgAAACfCAIAAADF3dM3AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAVEklEQVR4nO3df1AU9f8H8Hvv3R533MFxyGEC8kN+Gr8MJEgEw9TKEPFH41RMYzWWZVTYNGWNozWjzQeVJvuF/dTSavJ3pqZFwEQToKAGchAIJxwXiHDAsnfc7e3u94/9fm4YxT6lt/c+4fX4z9313i/Xe+57971770U8z0sAAO5F4C4AgMkIggcABhA8ADCA4AGAAQQPAAwgeABgAMEDAAMIHgAYQPAAwACCBwAGogeP/69r/jh2...
iVBORw0KGgoAAAANSUhEUgAAARQAAACZCAIAAABhS1KcAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAgAElEQVR4nO29d3RbZZo/rqvebHXLtuQiuXcnthPSQwqBhBDKQjj0MGdgYGF3FmbZKbsDZ5ZZZnbZAzMLZ5aQ5cDMQMKBAAkhhOAU0h0cO3GJLblKcpGt3vu9vz+ec/Tz10W+uvdKcQZ9/kqurnQfS+/nffrzIhiG0TLIIIPkQb/RAmSQwc2KdJMHw7BgMHj9+vWMxsvgZgdl5EFR1O/322w2g8EwOTkZv+5wOPR6vdPpjLPlwIED...
iVBORw0KGgoAAAANSUhEUgAAARcAAACZCAIAAACKfOmfAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAgAElEQVR4nO29eVwT1/7/z2QhhCVsCatE9n1XAa3KIq4givvWKtb1qrUWaz/9WK92sbe1t9W21qXVarH9VKVaUcCKBRFlR1lkh7AKkoWQANkzc75/zO/mxwPQiySZBJ3nf0xmzjkznNdZ3ud93gcCABjg4OCoAUHXBcDBmfDgKsLBUReMVIQgiFgslslk2GSHg4MlGKmot7c3Nze3paUFm+xwcLBELRWB/6BQKBAEUV1UKBRSqVRl...
null
Part of the image of the function\( f(x) = \omega \sin\left(\omega^2x- \frac{\pi}{6} \right) + 1 \) may be ()
[ "<image_1>", "<image_2>", "<image_3>", "<image_4>" ]
ABC
δΈ‰θ§’ε‡½ζ•°δΈŽθ§£δΈ‰θ§’ε½’
math
End of preview.

MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language Models

MME-SCI is a comprehensive multimodal benchmark designed to evaluate the scientific reasoning capabilities of Multimodal Large Language Models (MLLMs). It addresses key limitations of existing benchmarks by focusing on multilingual adaptability, comprehensive modality coverage, and fine-grained knowledge point annotation.

🌟 Key Features

  • Multilingual Support: Covers 5 languages (Chinese, English, French, Spanish, Japanese) to assess cross-lingual scientific reasoning.
  • Full Modality Coverage: Supports 3 evaluation modes (text-only, image-only, image-text hybrid) to test multimodal robustness.
  • Multidisciplinary Focus: Includes 4 core subjects (mathematics, physics, chemistry, biology) at the high school level.
  • Fine-Grained Knowledge Annotation: Annotates 63 specific knowledge points (e.g., "Magnetic Field" in physics, "Trigonometric Functions" in mathematics) for targeted performance analysis.
  • High-Quality Data: 1,019 manually curated question-answer pairs, with 83.3% sourced from 2025 and 16.2% from 2024 to ensure novelty and avoid training data contamination.

πŸ“Š Dataset Details

Attribute Details
Total Samples 1,019 question-answer pairs
Subjects & Distribution - Mathematics: 284
- Physics: 368
- Chemistry: 151
- Biology: 216
Languages Chinese, English, French, Spanish, Japanese
Modality Modes - Text-only: Pure textual questions
- Image-only: Screenshot-based questions
- Image-text hybrid: Combined visual and textual inputs
Question Types Single-choice, multiple-choice, fill-in-the-blank (all with verifiable answers for automated scoring)
Knowledge Points 63 fine-grained concepts (e.g., "Regulation of Plant Life Activities" in biology, "Basic Laws of Heredity" in genetics)

πŸ“ˆ Evaluation Results

MME-SCI has been tested on 20 MLLMs (16 open-source, 4 closed-source), revealing significant challenges for existing models:

Main Results on MME-SCI.

πŸ“ Data Curation

The dataset was built through a rigorous 4-step process:

  1. Sample Filtering: High-difficulty questions selected by experts (top 0.1% in Gaokao).
  2. Data Digitization: Conversion to JSON format with OCR for image-based content.
  3. Language Transformation: Professional translation to 5 languages.
  4. Post-Audit: Cross-validation by 3 reviewers to ensure quality.

πŸ“š Citation

If you use MME-SCI in your research, please cite:

@article{ruan2025mme,
title={MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language Models},
author={Ruan, Jiacheng and Jiang, Dan and Gao, Xian and Liu, Ting and Fu, Yuzhuo and Kang, Yangyang},
journal={arXiv preprint arXiv:2508.13938},
year={2025}
}

πŸ”— Resources

πŸ“§ Contact

For questions, reach out to jackchenruan@sjtu.edu.cn.

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