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README.md

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+
+## Dataset Structure
+
+After extracting both archives, the dataset has the following layout:
+
+```text
+PRISM/
+  train/
+    input/
+      <gt_id>_<variant_id>.png
+    gt/
+      <gt_id>.png
+  test/
+    input/
+      <gt_id>_<variant_id>.png
+    gt/
+      <gt_id>.png
+```
+
+Each image in `input/` is a moire-contaminated fabric image. Its clean target is stored in `gt/` and is matched by the prefix before the underscore.
+
+For example:
+
+```text
+train/input/000517_04.png  ->  train/gt/000517.png
+test/input/001174_09.png   ->  test/gt/001174.png
+```
+
+One clean ground-truth image may correspond to multiple synthesized moire variants.
+
+## Split Statistics
+
+```text
+Split   Moire inputs   Clean GT images
+train   14,587         1,783
+test    1,463          180
+total   16,050         1,963
+```
+
+The number of paired samples is the number of files in `input/`, because each input image has one aligned clean target.
+
+
+
+## Checksum Verification
+
+SHA-256 checksums are provided in `sha256sum.txt`. Verify the archives before extraction:
+
+```bash
+sha256sum -c sha256sum.txt
+```
+
+Expected checksums:
+
+```text
+677e58d53ac2717384936728e7b2ea487de40191becacf47fcd466895e47eae0  PRISM_test.zip
+b8d342b9466e837883c3973dd12197b1be898d29524e31f385095b398a789a47  PRISM_train.zip
+```
+
+## Usage Notes
+
+- Images are stored as RGB PNG files.
+- The train/test split is fixed and should be kept unchanged for reproducible evaluation.
+- Evaluation should be performed on `test/input/` using the corresponding targets in `test/gt/`.
+- The filename prefix before `_` determines the ground-truth image ID.
+
+## Citation
+
+If you use PRISM, please cite the corresponding paper:
+
+```bibtex
+@inproceedings{wei2026fabric,
+  title     = {Fabric Image Demoir{\'e}ing Benchmark from Synthesis to Restoration},
+  author    = {Wei, Pengchao and Guo, Xiaojie},
+  booktitle = {European Conference on Computer Vision},
+  year      = {2026}
+}
+```