Add task category and paper/code links to dataset card

README.md

@@ -1,19 +1,22 @@
 ---
-title: Doc Protocol Data
-description: >-
-  The 4 cross-domain test sets (T-SROIE, OSTF, TPIC-13, RTM). All samples in
-  the cross-domain test sets are cropped to 512 × 512 patches without
-  additional compression. The training set and the three in-domain test sets
-  share the same three forgery synthesis types: copy-move, splicing, and
-  print-based edits. The cross-domain test sets have more diverse forgery
-  sources, including AIGC-based text editing models and manual manipulation.
 license: other
+task_categories:
+- image-segmentation
+title: Doc Protocol Data
+description: 'The 4 cross-domain test sets (T-SROIE, OSTF, TPIC-13, RTM). All samples
+  in the cross-domain test sets are cropped to 512 × 512 patches without additional
+  compression. The training set and the three in-domain test sets share the same three
+  forgery synthesis types: copy-move, splicing, and print-based edits. The cross-domain
+  test sets have more diverse forgery sources, including AIGC-based text editing models
+  and manual manipulation.'
 ---
 
 # Doc Protocol Data
 
 The 4 cross-domain test sets (T-SROIE, OSTF, TPIC-13, RTM). All samples in the cross-domain test sets are cropped to 512 × 512 patches without additional compression. The cross-domain test sets have more diverse forgery sources, including **AIGC-based text editing models** and **manual manipulation**.
 
+This dataset is used in the paper [RiSE: Residual Subspace Expert for Generalizable Text-Centric Image Forgery Localization](https://huggingface.co/papers/2610.24480). Code is available at [https://github.com/KahimWong/RiSE](https://github.com/KahimWong/RiSE).
+
 ## Cross-domain test sets
 
 | Dataset | Split | Domain | #Samples | Description |
@@ -34,4 +37,4 @@ If you use this dataset, please cite:
   journal={Advances in Neural Information Processing Systems},
   year={2025}
 }
-```
+```