| --- |
| license: mit |
| task_categories: |
| - visual-question-answering |
| - image-classification |
| language: |
| - en |
| tags: |
| - maze |
| - spatial-reasoning |
| - multimodal |
| - vision-language |
| - benchmark |
| size_categories: |
| - n<1K |
| --- |
| |
| # MazeBench |
|
|
| The evaluation set from the paper *From Pixels to BFS: High Maze Accuracy Does Not Imply Visual Planning*. |
|
|
| **Paper:** [arXiv:2603.26839](https://arxiv.org/abs/2603.26839) |
|
|
| **Code:** [github.com/alrod97/LLMs_mazes](https://github.com/alrod97/LLMs_mazes) |
|
|
| ## Overview |
|
|
| 110 procedurally generated maze images spanning 8 structural families and grid sizes from 5x5 to 20x20, with ground-truth shortest-path annotations. These are the mazes used to evaluate multimodal LLMs in the paper. |
|
|
| ## Maze Families |
|
|
| - **sanity** — open corridors, minimal branching |
| - **bottleneck** — narrow chokepoints |
| - **dead_ends** — many dead-end branches |
| - **snake** — long winding corridors |
| - **symmetric** — mirror-symmetric layouts |
| - **trap** — trap tiles that must be avoided |
| - **near_goal_blocked** — goal is close but path is indirect |
| - **near_start_blocked** — start area has limited exits |
| |
| ## Contents |
| |
| - `gen_maze_001.png` ... `gen_maze_110.png` — 1024x1024 maze images |
| - `maze_annotations.json` — ground-truth annotations (reachability, shortest path length, accepted shortest paths) |
| |
| ## Usage |
| |
| ```bash |
| pip install huggingface_hub |
| huggingface-cli download albertoRodriguez97/MazeBench --repo-type dataset --local-dir generated_mazes/ |
| ``` |
| |
| ## Citation |
| |
| ```bibtex |
| @article{rodriguezsalgado2026mazebench, |
| title = {From Pixels to BFS: High Maze Accuracy Does Not Imply Visual Planning}, |
| author = {Rodriguez Salgado, Alberto}, |
| journal = {arXiv preprint arXiv:2603.26839}, |
| year = {2026}, |
| } |
| ``` |
| |
