NeSy-Route: A Neural-Symbolic Benchmark for Constrained Route Planning in Remote Sensing

     

Dataset Composition

NeSy-Route is organized into three benchmark tasks for evaluating perception, symbolic reasoning, and constrained route planning over remote-sensing imagery.

Task	Setting	Easy	Medium	Hard	Total	Content
Task 1	Few-shot	-	-	-	3,607	Semantic traversability and cost-vector prediction
Task 2	Zero-shot	7,659	3,712	1,604	12,975	Constraint-aware semantic and region reasoning
Task 3	Zero-shot	6,492	2,705	1,624	10,821	Constrained route planning with waypoint or trajectory outputs

Task 1 and Task 2 provide semantic constraint annotations for vector-based reasoning. Task 3 provides route-planning samples together with traversability maps, cost maps, ground-truth paths, and difficulty-level subsets.

Evaluation Code

Evaluation scripts, prompt templates, and running instructions are available in the GitHub repository:

https://github.com/MingYang1010/NeSy-Route

License

NeSy-Route follows the same licensing policy as OpenEarthMap. Label data are released under the same license as the corresponding source RGB imagery when applicable. For data whose source imagery is public domain or whose license is otherwise unspecified, the released labels follow the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

Please also check the LICENSE file in this repository before using or redistributing the dataset.