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LICENSE

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+MIT License
+
+Copyright (c) 2025 Yiming Xiao
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+license: cc-by-nc-4.0
+language:
+- en
+tags:
+- remote-sensing
+- damage-assessment
+- segmentation
+- building-instance-classification
+- post-disaster
+- satellite-imagery
+size_categories:
+- 1K<n<10K
+task_categories:
+- image-segmentation
+- image-classification
+pretty_name: DamageTriage-Bench
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "stratified_splits.json"
+  - split: validation
+    path: "stratified_splits.json"
+  - split: test
+    path: "stratified_splits.json"
+---
+
+# DamageTriage-Bench
+
+Per-building post-disaster damage assessment benchmark for satellite
+imagery, with a fine-grained 5-class **typology** taxonomy (no damage,
+partial/total roof damage, partial/total structural damage) rather than
+the FEMA-style 4-class severity scale used by xBD.
+
+## Quick stats
+
+| | |
+|---|---|
+| Tiles | 7,472 (1024 × 1024 PNG, sub-meter GSD) |
+| Total building instances | ≈ 76,500 |
+| Damage classes | 5 (typology) |
+| Disasters | 3 (Hurricane Michael 2018, Hurricane Helene 2024, 2025 LA Palisades/Eaton wildfire complex) |
+| Sub-events | 12 |
+| Train / Val / Test split | 5,229 / 1,120 / 1,123 tiles (stratified per sub-event) |
+
+## Directory layout
+
+```
+.
+├── images/                       # 7,472 post-event RGB tiles (1024×1024 PNG)
+├── damage/                       # 7,472 per-tile unified RGB polygon masks
+├── stratified_splits.json        # Train / Val / Test split (canonical)
+├── class_index.json              # Per-class tile listings
+└── README.md (this file)
+```
+
+`images/<tile_id>.png` and `damage/<tile_id>.png` are paired by filename.
+
+## Annotation format
+
+Annotations are **unified RGB polygon masks**: a single 1024 × 1024
+RGB mask per tile, where each pixel's colour identifies the damage
+class of the building instance it belongs to (or background).
+
+| Colour (R, G, B) | Class |
+|---|---|
+| `(0, 0, 0)` | Background / ignore |
+| `(255, 255, 255)` | Undamaged |
+| `(0, 255, 83)` | Partial Roof Damage |
+| `(246, 255, 11)` | Total Roof Damage |
+| `(255, 138, 18)` | Partial Structural Damage |
+| `(255, 0, 0)` | Total Structural Collapse |
+
+Connected components of the same colour correspond to building
+instances. Polygons do not overlap.
+
+### Per-class instance counts (val / test)
+
+| Class | Val (n) | Val (%) | Test (n) | Test (%) |
+|---|---:|---:|---:|---:|
+| 0. Undamaged | 9,288 | 73.1 | 9,346 | 74.6 |
+| 1. Partial Roof Damage | 1,657 | 13.0 | 1,561 | 12.5 |
+| 2. Total Roof Damage | 165 | 1.3 | 145 | 1.2 |
+| 3. Partial Structural Damage | 543 | 4.3 | 471 | 3.8 |
+| 4. Total Structural Collapse | 1,062 | 8.3 | 999 | 8.0 |
+| **Total** | **12,715** | **100** | **12,522** | **100** |
+
+The training split follows the same long-tail distribution with the
+remaining ~60,000 instances.
+
+## Disasters and sub-events
+
+12 acquisition sub-events span three disasters:
+
+| Sub-event | Hazard | Train | Val | Test | Total |
+|---|---|---:|---:|---:|---:|
+| `wildfire_1` | WF (LA) | 220 | 47 | 47 | 314 |
+| `wildfire_2` | WF (LA) | 208 | 45 | 44 | 297 |
+| `wildfire_3` | WF (LA) | 92 | 20 | 20 | 132 |
+| `wildfire_4` | WF (LA) | 191 | 41 | 41 | 273 |
+| `wildfire_5` | WF (LA) | 201 | 43 | 43 | 287 |
+| `wildfire_6` | WF (LA) | 86 | 18 | 19 | 123 |
+| `wildfire_7` | WF (LA) | 146 | 31 | 32 | 209 |
+| `wildfire_8` | WF (LA) | 99 | 21 | 22 | 142 |
+| `hurricane_michael_2018` | HUR | 1,263 | 271 | 270 | 1,804 |
+| `hurricane_helene_2024_v1` | HUR | 220 | 47 | 48 | 315 |
+| `hurricane_helene_2024_v2` | HUR | 860 | 184 | 185 | 1,229 |
+| `hurricane_helene_2024_late` | HUR | 1,643 | 352 | 352 | 2,347 |
+
+The eight `wildfire_*` sub-events partition the 2025 Los Angeles
+Palisades / Eaton wildfire complex into spatially disjoint regions.
+The three `hurricane_helene_2024_*` sub-events correspond to separate
+Helene acquisitions. `hurricane_michael_2018` covers the
+2018-10-11 NOAA Emergency Response Imagery for Hurricane Michael.
+
+## Annotation rubric
+
+Building polygons were manually annotated at the per-instance level
+by trained annotators following a damage-typology rubric jointly
+developed with structural-engineering domain experts.
+
+Class 0 denotes buildings with no visible roof or structural damage.
+For damaged buildings, labels follow a two-step rule:
+
+1. Does visible damage extend below the roof surface into structural
+   components? If **no**, the instance is *roof damage*. If **yes**,
+   it is *structural damage*.
+2. Within each branch, a **50 %** affected-area threshold separates
+   *partial* from *total*. Area is estimated relative to the visible
+   roof or building footprint.
+
+Each polygon is assigned exactly one of the five typology classes.
+
+## Splits
+
+`stratified_splits.json` defines a per-sub-event 70 / 15 / 15 split.
+Within each sub-event, tiles are partitioned so that every split has
+the same per-sub-event proportions as the full dataset. Splits are
+over **tiles**, not over building instances.
+
+Test fold is never read during training or model selection.
+
+```python
+import json
+splits = json.load(open("stratified_splits.json"))
+splits["seed"]                    # 42
+splits["ratios"]                  # [0.7, 0.15, 0.15]
+splits["all"]["train"][:5]        # first 5 train tile IDs
+splits["events"][k]["test"][:5]   # first 5 test tile IDs from sub-event k
+```
+
+## How to load
+
+```python
+from datasets import load_dataset
+
+# (After upload) the canonical loader.
+ds = load_dataset("<your-hf-org>/DamageTriage-Bench")
+```
+
+For PyTorch training pipelines, the companion code repository
+[<your-github-org>/dinov3-damage-assessment](.) provides a
+`get_dataloaders()` entry point that handles the unified-mask
+decoding and the stratified split.
+
+## Reproducibility
+
+The full training recipe that produced the headline macro-F1 = 0.619
+on the test split is documented in the companion code repository
+(`AGENTS.md` → §"v11 reference recipe").
+
+## License
+
+CC BY-NC 4.0 — non-commercial research use only.
+
+## Acknowledgements
+
+Imagery for the Michael event is sourced from the NOAA Emergency
+Response Imagery program. Imagery for the Helene and LA wildfire
+events is sourced from publicly released post-event capture flights;
+sources and ground-sampling distance are listed per-event in the
+companion paper.
+
+## Citation
+
+```bibtex
+@article{damagetriage2026,
+  title   = {Damage-TriageFormer: Post-Event Foundation Models for
+             Decision-Relevant Building Damage Typology},
+  author  = {Xiao, Yiming and Mostafavi, Ali},
+  journal = {tba},
+  year    = {2026},
+}
+```