Datasets:
license: other
license_name: openearthmap-derived-mixed-source-dataset-license
license_link: LICENSE
pretty_name: NeSy-Route
task_categories:
- image-to-text
- visual-question-answering
language:
- en
tags:
- remote-sensing
- route-planning
- benchmark
- neural-symbolic
- multimodal-large-language-models
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.