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{vr-bench,
title={VR-Bench: A Benchmark for Spatial Reasoning in Vision Models},
author={Your Name},
year={2024}
}
License
MIT License
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