Datasets:
Dataset Viewer
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
json: struct<entities: struct<boxes: list<item: null>, goal: struct<bbox: struct<center_x: int64, center_y (... 538 chars omitted)
child 0, entities: struct<boxes: list<item: null>, goal: struct<bbox: struct<center_x: int64, center_y: int64, height: (... 233 chars omitted)
child 0, boxes: list<item: null>
child 0, item: null
child 1, goal: struct<bbox: struct<center_x: int64, center_y: int64, height: int64, width: int64, x: int64, y: int6 (... 42 chars omitted)
child 0, bbox: struct<center_x: int64, center_y: int64, height: int64, width: int64, x: int64, y: int64>
child 0, center_x: int64
child 1, center_y: int64
child 2, height: int64
child 3, width: int64
child 4, x: int64
child 5, y: int64
child 1, pixel_pos: struct<x: int64, y: int64>
child 0, x: int64
child 1, y: int64
child 2, player: struct<bbox: struct<center_x: int64, center_y: int64, height: int64, width: int64, x: int64, y: int6 (... 42 chars omitted)
child 0, bbox: struct<center_x: int64, center_y: int64, height: int64, width: int64, x: int64, y: int64>
child 0, center_x: int64
child 1, center_y: int64
child 2, height: int64
child 3, width: int64
child 4, x: int64
child 5, y: int64
child 1, pixel_pos: struct<x: int64, y: int64>
child 0, x: int64
child 1, y: int64
child 1, game_type: string
child 2, metadata: struct<road_width: int64, segments: list<item: list<item: list<item: double>>>, solution_path: list< (... 64 chars omitted)
child 0, road_width: int64
child 1, segments: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, solution_path: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 3, solution_segments: list<item: int64>
child 0, item: int64
child 3, render: struct<cell_size: int64, image_height: int64, image_width: int64>
child 0, cell_size: int64
child 1, image_height: int64
child 2, image_width: int64
child 4, version: string
__key__: string
__url__: string
png: null
to
{'png': Image(mode=None, decode=True), '__key__': Value('string'), '__url__': Value('string')}
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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1984, in _iter_arrow
pa_table = cast_table_to_features(pa_table, self.features)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
raise CastError(
datasets.table.CastError: Couldn't cast
json: struct<entities: struct<boxes: list<item: null>, goal: struct<bbox: struct<center_x: int64, center_y (... 538 chars omitted)
child 0, entities: struct<boxes: list<item: null>, goal: struct<bbox: struct<center_x: int64, center_y: int64, height: (... 233 chars omitted)
child 0, boxes: list<item: null>
child 0, item: null
child 1, goal: struct<bbox: struct<center_x: int64, center_y: int64, height: int64, width: int64, x: int64, y: int6 (... 42 chars omitted)
child 0, bbox: struct<center_x: int64, center_y: int64, height: int64, width: int64, x: int64, y: int64>
child 0, center_x: int64
child 1, center_y: int64
child 2, height: int64
child 3, width: int64
child 4, x: int64
child 5, y: int64
child 1, pixel_pos: struct<x: int64, y: int64>
child 0, x: int64
child 1, y: int64
child 2, player: struct<bbox: struct<center_x: int64, center_y: int64, height: int64, width: int64, x: int64, y: int6 (... 42 chars omitted)
child 0, bbox: struct<center_x: int64, center_y: int64, height: int64, width: int64, x: int64, y: int64>
child 0, center_x: int64
child 1, center_y: int64
child 2, height: int64
child 3, width: int64
child 4, x: int64
child 5, y: int64
child 1, pixel_pos: struct<x: int64, y: int64>
child 0, x: int64
child 1, y: int64
child 1, game_type: string
child 2, metadata: struct<road_width: int64, segments: list<item: list<item: list<item: double>>>, solution_path: list< (... 64 chars omitted)
child 0, road_width: int64
child 1, segments: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, solution_path: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 3, solution_segments: list<item: int64>
child 0, item: int64
child 3, render: struct<cell_size: int64, image_height: int64, image_width: int64>
child 0, cell_size: int64
child 1, image_height: int64
child 2, image_width: int64
child 4, version: string
__key__: string
__url__: string
png: null
to
{'png': Image(mode=None, decode=True), '__key__': Value('string'), '__url__': Value('string')}
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.
VR-Bench Dataset
VR-Bench is a benchmark dataset for evaluating spatial reasoning capabilities of Vision-Language Models (VLMs) and Video Generation Models.
Dataset Structure
The dataset is split into two subsets:
dataset_VR_split/
├── train/ # Training set (96 cases)
│ ├── maze/
│ ├── maze3d/
│ ├── pathfinder/
│ ├── sokoban/
│ └── trapfield/
└── eval/ # Evaluation set (24 cases)
├── maze/
├── maze3d/
├── pathfinder/
├── sokoban/
└── trapfield/
Each game directory contains:
images/: Initial state images (PNG)states/: Game state metadata (JSON)videos/: Solution trajectory videos (MP4)
Games
- Maze: 2D grid-based navigation with walls
- TrapField: 2D grid-based navigation with traps
- Sokoban: Box-pushing puzzle game
- PathFinder: Irregular maze with curved paths
- Maze3D: 3D maze with vertical navigation
Usage
For VLM Evaluation
from datasets import load_dataset
dataset = load_dataset("your-username/VR-Bench")
train_data = dataset["train"]
eval_data = dataset["eval"]
For Video Model Evaluation
Each video file shows the optimal solution trajectory for the corresponding game state.
Citation
If you use this dataset, please cite:
@article{yang2025vrbench,
title={Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks},
author={Cheng Yang and Haiyuan Wan and Yiran Peng and Xin Cheng and Zhaoyang Yu and Jiayi Zhang and Junchi Yu and Xinlei Yu and Xiawu Zheng and Dongzhan Zhou and Chenglin Wu},
journal={arXiv preprint arXiv:2511.15065},
year={2025}
}
License
MIT License
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