Add paper link, task category, and descriptive tags

This PR enhances the dataset card by:
- Adding `task_categories: ['image-segmentation']` to improve discoverability for relevant AI tasks, based on the paper's focus on semantic segmentation for AIGC detection.
- Including descriptive `tags` such as `aigc-detection`, `diffusion-editing`, `image-forgery-detection`, and `diffusion-models` for better search results and categorization.
- Integrating a direct link to the paper [DiffSeg30k: A Multi-Turn Diffusion Editing Benchmark for Localized AIGC Detection](https://huggingface.co/papers/2511.19111) within the introductory description.
- Removing the redundant license declaration from the Markdown content, as it is already present in the YAML metadata.

These changes will make the dataset more accessible and informative for researchers on the Hugging Face Hub.

README.md

@@ -1,9 +1,17 @@
 ---
 license: apache-2.0
+task_categories:
+- image-segmentation
+tags:
+- aigc-detection
+- diffusion-editing
+- image-forgery-detection
+- diffusion-models
 ---
+
 # 🖼️ DiffSeg30k -- A multi-turn diffusion-editing dataset for localized AIGC detection
 
-A dataset for **segmenting diffusion-based edits** — ideal for training and evaluating models that localize edited regions and identify the underlying diffusion model
+A dataset for **segmenting diffusion-based edits** — ideal for training and evaluating models that localize edited regions and identify the underlying diffusion model, as presented in the paper [DiffSeg30k: A Multi-Turn Diffusion Editing Benchmark for Localized AIGC Detection](https://huggingface.co/papers/2511.19111).
 
 ## 📁 Dataset Usage
 - `xxxxxxxx.image.png`: Edited images. Each image may have undergone 1, 2, or 3 editing operations.
@@ -35,9 +43,4 @@ Each mask is a grayscale image (PNG format), where pixel values correspond to a
 
 ## 📌 Notes
 
-- Each edited image may be edited **multiple turns**, so the corresponding mask may contain several different **label values** ranging from 0 to 8.
-
-## 📄 License
-
-Apache-2.0
-
+- Each edited image may be edited **multiple turns**, so the corresponding mask may contain several different **label values** ranging from 0 to 8.