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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:    ValueError
Message:      Expected object or value
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to number in row 0
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 304, in _generate_tables
                  batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 111, in json_encode_fields_in_json_lines
                  examples = [ujson_loads(line) for line in original_batch.splitlines()]
                              ~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value

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GAUGE Dataset

GAUGE: A Measurement-Grounded Benchmark for Physical Fidelity in Simulation Engines and Video World Models

GAUGE is a real-world-grounded benchmark for evaluating the physical fidelity of numerical physics engines and generative video world models. The benchmark contains 22 controlled task families spanning rigid bodies, flexible cables, textiles, and volumetric deformable objects.

Task Overview

GAUGE contains 22 controlled task families spanning rigid bodies, flexible cables, textiles, and volumetric deformable objects.

Category Task Video Description Evaluation Subtasks Material
Rigid Body Slope Contact Slope Contact Fall of a trirectangular tetrahedron Slope collisions 1 Wood, Plastic
Rigid Body Nonsmooth Contact Nonsmooth Contact Fall of wedges and pyramids Codimensional collisions 3 Wood, Plastic
Rigid Body Slope Slider Slope Slider Slide of a cube on a slope Static and kinetic friction 3 Wood, Plastic, Metal
Rigid Body Turntable Turntable Slide of a cube on a turntable Static and kinetic friction in a non-inertial frame 3 Wood, Plastic, Metal
Rigid Body Bouncing Ball Bouncing Ball Fall and bouncing of a ball Rapid impact 1 Rubber
Rigid Body Newton's Cradle Newton's Cradle Collision of closely fitted balls Momentum transfer 1 Metal
Rigid Body Wall Breaking Wall Breaking Collision of a wrecking ball with a wall Large-scale dense collisions 1 Wood
Rigid Body Pendulum Pendulum Oscillation of a ball Periodic motion 1 Metal
Flexible Cable Rope Winding Rope Winding Winding of a rope Self-collision and stretch modulus 1 Rubber
Textile Textile Stretching Textile Stretching Tensile deformation of a textile Stretch modulus 1 R, S, U, O, L, N
Textile Textile Bending Textile Bending Natural sagging of a textile Bending modulus 1 R, S, U, O, L, N
Textile Textile Flinging Textile Flinging Fluttering of a textile Motion under locally high acceleration 1 R, S, U, O, L, N
Textile Funnel Funnel Passage of textiles through a hole Collision, friction 1 R, S, U, O, L, N
Textile Rotating Ball Rotating Ball Motion of a textile driven by a rotating ball Static and kinetic friction 1 R, S, U
Textile Tablecloth Pulling Tablecloth Pulling Pulling a textile from beneath rigid objects Static and kinetic friction 1 Wood, Plastic, Metal
Volumetric Deformable Body Foam Stretching Foam Stretching Stretching of an elastic cuboid Stretching modulus 1 Soft, Hard
Volumetric Deformable Body Foam Compression Foam Compression Compression of an elastic cuboid Compression modulus 1 Soft, Hard
Volumetric Deformable Body Foam Shearing Foam Shearing Shearing of an elastic cuboid Shear modulus 1 Soft, Hard
Volumetric Deformable Body Foam Twisting Foam Twisting Twisting of an elastic cuboid Twisting modulus 1 Soft, Hard
Volumetric Deformable Body Foam Bending Foam Bending Bending of an elastic cuboid Bending modulus 1 Soft, Hard
Volumetric Deformable Body Stick-Stack Stick-Stack Sliding of an elastic rod on a plane Static and kinetic friction 1 Soft, Hard
Volumetric Deformable Body Cantilever Beam Cantilever Beam Free hanging of an elastic cantilever beam Coupling with a large stiffness ratio 1 Soft, Hard

Textile material abbreviations: R = Rayon, S = Satin, U = Uniform cloth, O = Oxford fabric, L = Synthetic leather, N = Nylon taslan.

Physical Regimes

Physical Regime Number of Task Families Representative Properties
Rigid Body 8 Collision, friction, momentum transfer, impact, periodic motion
Flexible Cable 1 Self-collision, stretching
Textile 6 Stretching, bending, friction, high-acceleration dynamics
Volumetric Deformable Body 7 Stretching, compression, shear, twisting, bending, friction

Dataset Contents

GAUGE provides real-world experimental measurements and task-associated physical metadata for standardized physics-fidelity evaluation. The released dataset is organized around:

  • real-world motion-capture trajectories and measurements;
  • simulation-ready geometry and scene assets;
  • calibrated physical-property metadata;
  • standardized first-frame and text-prompt inputs for video world models;

Citation

If you find GAUGE useful in your research, please consider citing:

@article{Wang2026,
  title={GAUGE: A Measurement-Grounded Benchmark for Physical Fidelity in Simulation Engines and Video World Models},
  author={Wang, Shuai and Feng, Yaxin and Jiang, Xuekun and Tian, Shihan and others},
  year={2026},
  copyright = {arXiv.org perpetual, non-exclusive license},
  doi       = {10.48550/ARXIV.2608.05948},
  keywords  = {Artificial Intelligence (cs.AI), Computer Vision and Pattern Recognition (cs.CV), Robotics (cs.RO), FOS: Computer and information sciences},
  publisher = {arXiv},
}
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