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README.md

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----
-license: mit
----
+---
+pretty_name: PanScale
+license: other
+task_categories:
+  - image-to-image
+tags:
+  - remote-sensing
+  - pansharpening
+  - multispectral
+  - panchromatic
+size_categories:
+  - 1K<n<10K
+---
+
+# PanScale Dataset
+
+## Dataset Summary
+
+PanScale is a remote sensing pansharpening dataset organized as paired multispectral (`ms`) and panchromatic (`pan`) TIFF images.
+
+- Total paired samples: **7,559**
+- Total size on disk: **~6.9 GB**
+- Pairing rule: files are matched by identical filename in `ms/` and `pan/` (for example, `123.tif` with `123.tif`)
+- Data type (checked from files): **8-bit TIFF**, with `ms` as **4-channel** and `pan` as **1-channel**
+
+This release contains standard train/test subsets and full-resolution cross-scale test subsets.
+
+## Supported Tasks
+
+- Pansharpening (PAN + MS fusion)
+- Cross-scale generalization evaluation for pansharpening methods
+
+## Dataset Structure
+
+```text
+PanScale/
+  jilin/
+    train200/{ms,pan}
+    test200/{ms,pan}
+    test400/{ms,pan}
+    test800/{ms,pan}
+  landsat/
+    train256/{ms,pan}
+    test200/{ms,pan}
+    test400/{ms,pan}
+    test800/{ms,pan}
+    test1600/{ms,pan}
+  skysat/
+    train200/{ms,pan}
+    test200/{ms,pan}
+    test400/{ms,pan}
+    test800/{ms,pan}
+    test1600/{ms,pan}
+  fjilin/
+    test800/{ms,pan}
+    test1200/{ms,pan}
+    test1600/{ms,pan}
+    test2000/{ms,pan}
+  flandsat/
+    test800/{ms,pan}
+    test1200/{ms,pan}
+    test1600/{ms,pan}
+    test2000/{ms,pan}
+  fskysat/
+    test800/{ms,pan}
+    test1200/{ms,pan}
+    test1600/{ms,pan}
+    test2000/{ms,pan}
+```
+
+## Split Statistics
+
+### Standard subsets (same spatial size for `ms` and `pan`)
+
+| Sensor | Split | # Pairs | MS size | PAN size |
+|---|---:|---:|---:|---:|
+| jilin | train200 | 1055 | 200x200 | 200x200 |
+| jilin | test200 | 34 | 200x200 | 200x200 |
+| jilin | test400 | 34 | 400x400 | 400x400 |
+| jilin | test800 | 34 | 800x800 | 800x800 |
+| landsat | train256 | 2484 | 256x256 | 256x256 |
+| landsat | test200 | 96 | 200x200 | 200x200 |
+| landsat | test400 | 96 | 400x400 | 400x400 |
+| landsat | test800 | 96 | 800x800 | 800x800 |
+| landsat | test1600 | 96 | 1600x1600 | 1600x1600 |
+| skysat | train200 | 2370 | 200x200 | 200x200 |
+| skysat | test200 | 88 | 200x200 | 200x200 |
+| skysat | test400 | 88 | 400x400 | 400x400 |
+| skysat | test800 | 88 | 800x800 | 800x800 |
+| skysat | test1600 | 88 | 1600x1600 | 1600x1600 |
+
+### Full-resolution cross-scale subsets (`f*`)
+
+| Sensor | Split | # Pairs | MS size | PAN size | PAN/MS scale |
+|---|---:|---:|---:|---:|---:|
+| fjilin | test800 | 121 | 200x200 | 800x800 | 4.0 |
+| fjilin | test1200 | 121 | 300x300 | 1200x1200 | 4.0 |
+| fjilin | test1600 | 121 | 400x400 | 1600x1600 | 4.0 |
+| fjilin | test2000 | 121 | 500x500 | 2000x2000 | 4.0 |
+| flandsat | test800 | 48 | 400x400 | 800x800 | 2.0 |
+| flandsat | test1200 | 48 | 600x600 | 1200x1200 | 2.0 |
+| flandsat | test1600 | 48 | 800x800 | 1600x1600 | 2.0 |
+| flandsat | test2000 | 48 | 1000x1000 | 2000x2000 | 2.0 |
+| fskysat | test800 | 34 | 320x320 | 800x800 | 2.5 |
+| fskysat | test1200 | 34 | 480x480 | 1200x1200 | 2.5 |
+| fskysat | test1600 | 34 | 640x640 | 1600x1600 | 2.5 |
+| fskysat | test2000 | 34 | 800x800 | 2000x2000 | 2.5 |
+
+## Data Fields
+
+Each sample consists of:
+
+- `pan`: panchromatic image (`.tif`, 1 channel)
+- `ms`: multispectral image (`.tif`, 4 channels)
+- `id`: numeric filename stem (for example, `1`, `2`, ...)
+
+## Example Loading (Python)
+
+```python
+from pathlib import Path
+
+root = Path("PanScale/jilin/train200")
+ms_dir = root / "ms"
+pan_dir = root / "pan"
+
+for ms_path in sorted(ms_dir.glob("*.tif")):
+    pan_path = pan_dir / ms_path.name
+    if not pan_path.exists():
+        continue
+    # Use your TIFF reader here (e.g., tifffile, rasterio, PIL)
+    # ms = read_tiff(ms_path)
+    # pan = read_tiff(pan_path)
+```
+
+## Recommended Hugging Face Upload Layout
+
+Upload the `PanScale/` directory directly so users can keep the current sensor/split organization:
+
+```text
+dataset-repo/
+  README.md
+  PanScale/
+    ...
+```
+
+## Intended Use
+
+This dataset is intended for research and benchmarking in:
+
+- pansharpening model training and evaluation
+- cross-scale robustness analysis
+- comparison of remote sensing fusion methods across sensors
+
+## Limitations
+
+- The dataset card currently omits full acquisition/annotation details because the corresponding paper metadata is pending public release.
+- Sensor-specific radiometric and preprocessing details should be added before final camera-ready publication.
+
+## License
+
+**TBD**. Please replace this section with the actual license and usage restrictions before public release.
+
+## Citation
+
+Citation will be added after the paper is publicly available.
+
+```bibtex
+@article{,
+  title={},
+  author={},
+  journal={},
+  year={}
+}
+```
+
+## Contact
+
+Please add maintainer contact information (email or project page) before release.