pathfinding
synthetic_graph_pathfindingsynthetic_graph_pathfinding_100Kpathfinding-gridsautonomous-driving-minimal-harm-gradient-pathfinding-v0.1
What this dataset tests
Whether a system can navigatea minimal-harm gradient through a driving scene.
The task is to identify the paththat minimizes total deformationacross all agents.
Required outputs
gradient vectors across actions
minimal harm path
deformation score
stability margin
Use case
Second layer of ethical navigation stack.
Transforms ethical cost fieldinto an actionable path.
Evaluation
Predictions must:
describe gradient… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/autonomous-driving-minimal-harm-gradient-pathfinding-v0.1.pathfinding-training
🧩 Maze Navigation Dataset
A comprehensive dataset of 899 maze-solving examples generated using three different maze generation algorithms, designed for training and evaluating LLM navigation capabilities.
📊 Dataset Overview
Total Mazes: 899 examples
Algorithms: 3 different maze generation techniques (~300 examples each)
Map Sizes: 3 different sizes per algorithm
5x5 inner grid (7x7 with walls)
10x10 inner grid (12x12 with walls)
20x20 inner grid (22x22 with walls)… See the full description on the dataset page: https://huggingface.co/datasets/Fallomai/pathfinding-training.pathfinding-results