Add README with dataset name and description

README.md

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+---
+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
+---
+
+# 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 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**.
+
+## Cross-domain test sets
+
+| Dataset | Split | Domain | #Samples | Description |
+|---|---|---|---|---|
+| T-SROIE [Wang et al., 2022b] | Test | Cross-domain | 1,579 | Scanned receipts tampered using the AIGC text editing model SR-Net. |
+| OSTF [Qu et al., 2025] | Test | Cross-domain | 3,046 | Natural scene text images tampered using eight different AIGC-based text editing models. |
+| TPIC-13 [Wang et al., 2022a] | Test | Cross-domain | 589 | Naturally captured scene-text images tampered using the AIGC text editing model SR-Net. |
+| RTM [Luo et al., 2025] | Test | Cross-domain | 3,444 | Document images with both synthetic and manual manipulations, covering copy-move, splicing, print, and erasure edits across diverse document types such as scanned forms. |
+
+## File structure
+
+```
+cutted_datasets_fakes.zip
+└── cutted_datasets_fakes/
+    ├── T-SROIE/     # 1,579 cropped 512×512 patches
+    ├── OSTF/        # 3,046 cropped 512×512 patches
+    ├── TPIC-13/     # 589 cropped 512×512 patches
+    └── RTM/         # 3,444 cropped 512×512 patches
+```
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@article{du2025forensichub,
+  title={ForensicHub: A unified benchmark \& codebase for all-domain fake image detection and localization},
+  author={Bo Du and Xuekang Zhu and Xiaochen Ma and Chenfan Qu and Kaiwen Feng and Zhe Yang and Chi-Man Pun and Jian Liu and Ji-Zhe Zhou},
+  journal={Advances in Neural Information Processing Systems},
+  year={2025}
+}
+```
+
+## References
+
+- Wang et al., 2022a: TPIC-13
+- Wang et al., 2022b: T-SROIE
+- Qu et al., 2025: OSTF
+- Luo et al., 2025: RTM