Awesome World Model Hub Papers · Datasets · Projects
← Back to datasets

Kalso42/WorldModelForMazeWithX

2026 Datasets
Preview for Kalso42/WorldModelForMazeWithX

Dataset Analysis

WorldModelForMazeWithX Maze pathfinding sequences for training/probing sequence models (Transformer, Mamba, GRU, Gated-DeltaNet, ...). Task C1: relative-turn navigation on a fixed 10×10 directed grid. Includes a special x terminator marking wall-hit (illegal) paths, used to study a model's ability to recognize its own errors. Maze 10×10 grid, 100 nodes (0–99). Directed edges (down/right, both directions added), edge probability 0.6. Graph:… See the full description on the dataset page: https://huggingface.co/datasets/Kalso42/WorldModelForMazeWithX.

Provenance

Collected from huggingface-datasets.

downloads=148, likes=0, license=mit

Resources

Tags

task_categories:text-generationlanguage:enlicense:mitsize_categories:1M<n<10Mregion:usmazeworld-modelpathfindingsequence-modeling