docs(readme): simplify benchmark statistics

README.md

@@ -20,8 +20,6 @@ tags:
 
 <h1>NeSy-Route: A Neural-Symbolic Benchmark for Constrained Route Planning in Remote Sensing</h1>
 
-<p><strong>Hugging Face release page for the NeSy-Route benchmark dataset.</strong></p>
-
 <p>
   <a href="https://mingyang1010.github.io/NeSy-Route/">
     <img src="https://img.shields.io/badge/Project-Page-34A853?style=flat-square&logo=googlechrome&logoColor=white" alt="Project Page">
@@ -42,17 +40,11 @@ tags:
 
 NeSy-Route is organized into three benchmark tasks for evaluating perception, symbolic reasoning, and constrained route planning over remote-sensing imagery.
 
-| Task | Setting | What It Evaluates | Split / Level | Samples |
-| --- | --- | --- | --- | ---: |
-| Task 1 | Few-shot | Semantic traversability and cost-vector prediction | Main set | 3,607 |
-| Task 2 | Zero-shot | Constraint-aware semantic and region reasoning | Level 1 | 7,659 |
-| Task 2 | Zero-shot | Constraint-aware semantic and region reasoning | Level 2 | 3,712 |
-| Task 2 | Zero-shot | Constraint-aware semantic and region reasoning | Level 3 | 1,604 |
-| Task 2 | Zero-shot | Constraint-aware semantic and region reasoning | Total | 12,975 |
-| Task 3 | Zero-shot | Constrained route planning with waypoint or trajectory outputs | Easy | 6,492 |
-| Task 3 | Zero-shot | Constrained route planning with waypoint or trajectory outputs | Medium | 2,705 |
-| Task 3 | Zero-shot | Constrained route planning with waypoint or trajectory outputs | Hard | 1,624 |
-| Task 3 | Zero-shot | Constrained route planning with waypoint or trajectory outputs | Total | 10,821 |
+| 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.