Datasets:

cmudrc
/

OpenSeeSimE-Fluid-Small

dataset_info:
  features:
    - name: file_name
      dtype: string
    - name: source_file
      dtype: string
    - name: question
      dtype: string
    - name: question_type
      dtype: string
    - name: question_id
      dtype: int32
    - name: answer
      dtype: string
    - name: answer_choices
      list: string
    - name: correct_choice_idx
      dtype: int32
    - name: image
      dtype: image
    - name: video
      dtype: video
    - name: media_type
      dtype: string
  splits:
    - name: test
      num_examples: 9881
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*
license: mit
task_categories:
  - visual-question-answering
language:
  - en
size_categories:
  - 1K<n<10K
tags:
  - engineering
  - simulation
  - stratified-subset

OpenSeeSimE-Fluid-Small

A stratified 10% subset of cmudrc/OpenSeeSimE-Fluid for evaluating vision-language models at a reduced compute footprint while preserving the joint distribution of simulation type, question type, media type, and question id.

Subset Provenance

Parent dataset: cmudrc/OpenSeeSimE-Fluid (98,326 rows total)
Rows in this subset: 9,881 (10.05% of parent)
Source classes: Bent Pipe, Converging Nozzle, Heat Exchanger, Heat Sink, Mixing Pipe
Parquet shards: 19 | Storage: ~103.68 GB
Sampling: per-stratum shuffle with numpy.random.default_rng(42), then take ceil(n * fraction) from each stratum. Any non-empty stratum contributes at least 1 row.
Strata: (source_file, question_type, media_type, question_id) — all four jointly.
Nesting: the 1% subset is a literal subset of the 10% subset (same shuffled prefix is taken for every fraction).

Composition

By `source_file`

source_file	rows	pct
Mixing Pipe	2070	20.95
Heat Exchanger	2029	20.53
Bent Pipe	1976	20.00
Converging Nozzle	1971	19.95
Heat Sink	1835	18.57

By `media_type`

media_type	rows
image	4948
video	4933

By `(source_file, question_type)`

source_file	Binary	Multiple Choice	Spatial	Total
Bent Pipe	792	796	388	1976
Converging Nozzle	791	789	391	1971
Heat Exchanger	812	811	406	2029
Heat Sink	719	710	406	1835
Mixing Pipe	828	828	414	2070

Feature Schema

Identical to the parent dataset. See cmudrc/OpenSeeSimE-Fluid for full documentation of simulation generation, ground-truth extraction, preprocessing, limitations, and intended use.

{
    'file_name':          str,        # Unique identifier
    'source_file':        str,        # Base simulation model
    'question':           str,        # Question text
    'question_type':      str,        # 'Binary', 'Multiple Choice', 'Spatial'
    'question_id':        int,        # Question identifier (1-20)
    'answer':             str,        # Ground truth answer
    'answer_choices':     list[str],  # Options
    'correct_choice_idx': int,        # Index of correct answer
    'image':              Image,      # PIL Image (1920x1440) or null for video rows
    'video':              Video,      # Video bytes or null for image rows
    'media_type':         str,        # 'image' or 'video'
}

Intended Use

Benchmark evaluation of vision-language models on engineering simulation question answering at reduced compute cost
Smoke-testing of evaluation pipelines before running the full benchmark
Comparative studies where storage or bandwidth constraints matter

License

MIT — same as parent. Free for academic and commercial use with attribution.

Citation

@article{ezemba2024opensesime,
  title={OpenSeeSimE: A Large-Scale Benchmark to Assess Vision-Language Model Question Answering Capabilities in Engineering Simulations},
  author={Ezemba, Jessica and Pohl, Jason and Tucker, Conrad and McComb, Christopher},
  year={2025}
}

Contact

Jessica Ezemba — jezemba@andrew.cmu.edu
Department of Mechanical Engineering, Carnegie Mellon University