xBD Damage Inventory QA Dataset
Overview
A question-answering dataset for building damage assessment from post-disaster satellite imagery, built on the xBD / xView2 dataset.
Dataset Statistics
- 300 scenes selected across 5 damage buckets
- 1,656 QA samples covering 8 question templates
- 100% validation pass rate
- Disaster types: Wind, Flooding, Fire, Tsunami, Volcano, Earthquake
QA Templates
| Template | Description | Difficulty |
|---|---|---|
| XBD-Q1 | Full damage inventory report | Medium |
| XBD-Q2 | Worst quadrant by severe area | Medium |
| XBD-Q3 | Highest severity 4×4 cell | Hard |
| XBD-Q4 | Cross-scene comparison | Hard |
| XBD-Q5 | Severe polygon filter + area | Easy |
| XBD-Q6 | Event-level severity ranking | Hard |
| XBD-Q7 | Spatial dispersion analysis | Medium |
| XBD-Q8 | Full scene change summary | Hard |
Splits
| Split | Samples |
|---|---|
| Train | 1,212 |
| Val | 203 |
| Test | 241 |
Damage Buckets
| Bucket | Scenes |
|---|---|
| no-low-damage | 50 |
| minor-moderate | 50 |
| major-heavy | 70 |
| destroyed-heavy | 70 |
| mixed-severe | 60 |
Area Computation
All footprint areas computed as:
area_m2 = shapely_polygon.area (px²) × GSD²
GSD sourced from metadata.gsd in post-disaster JSON.
lng_lat polygons used for visualization only.
Validation
Every QA sample independently validated by recomputing ground truth from raw source JSON files. Pass rate: 100% (1,656 / 1,656)