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vrqa_bench

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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<direction_changes: int64, left_turns: int64, right_turns: int64, solution_path: list<item: list<item: double>>>
to
{'steps': List(Value('string')), 'total_turns': Value('int64'), 'left_turns': Value('int64'), 'right_turns': Value('int64'), 'start_grid': List(Value('int64')), 'goal_grid': List(Value('int64')), 'total_steps': Value('int64')}
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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2255, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1804, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2101, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<direction_changes: int64, left_turns: int64, right_turns: int64, solution_path: list<item: list<item: double>>>
              to
              {'steps': List(Value('string')), 'total_turns': Value('int64'), 'left_turns': Value('int64'), 'right_turns': Value('int64'), 'start_grid': List(Value('int64')), 'goal_grid': List(Value('int64')), 'total_steps': Value('int64')}

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🧩 VRQA-Bench

Paper Code

A multiple-choice visual reasoning benchmark built on 🌀 maze navigation and 📦 Sokoban puzzles. Each sample provides an initial-state image, an optimal-solution video, and a question about the planned trajectory.

🏷️ Categories

Category Task Description
C1_turn_count 🌀 maze Total number of direction changes along the path
C2_turn_direction 🌀 maze Number of LEFT / RIGHT turns
C4_sokoban_push 📦 sokoban Direction of a specific push
C5_direction_count 🌀 maze Number of steps in a given direction
C6_push_dir_count 📦 sokoban Number of pushes in a given direction

📝 Annotation Fields

question, options (A–D), answer (correct key), correct_value, task_type, input_image / video_path (relative to each split dir), _solution (ground-truth solution trace).

📌 Citation 

@misc{zhou2026worldmodelsmeetlanguage,
      title={World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning},
      author={Yucheng Zhou and Wei Tao and Yiwen Guo and Jianbing Shen},
      year={2026},
      eprint={2606.03603},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2606.03603},
}
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