Add task category and sample usage to dataset card

README.md

@@ -1,15 +1,17 @@
 ---
-configs:
-  - config_name: default
-    data_files:
-      - split: test
-        path: viewer.jsonl
 license: cc-by-nc-sa-4.0
+size_categories:
+- n<1K
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: viewer.jsonl
 tags:
 - Video
 - Segmentation
-size_categories:
-- n<1K
+task_categories:
+- image-segmentation
 ---
 
 # SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction
@@ -38,6 +40,21 @@ We propose the Semantic Complex Scenarios Video Object Segmentation (SeCVOS) ben
 | LVOS | 140 | 78.36 | 7.8% | 1.47 |
 | **SeCVOS (ours)** | 160 | 29.36 | 30.2% | **4.26** |
 
+## Sample Usage
+
+You can load the dataset using the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+# Load the test split of the SeCVOS dataset
+dataset = load_dataset("OpenIXCLab/SeCVOS", split="test")
+
+# Explore the dataset
+print(dataset)
+print(dataset[0])
+```
+
 ## License
 Our annotations are licensed under a [CC BY-NC-SA 4.0 License](https://creativecommons.org/licenses/by-nc-sa/4.0/). They are available strictly for non-commercial research.
 
@@ -55,4 +72,4 @@ If you find this project useful in your research, please consider citing:
   journal   = {arXiv preprint arXiv:2507.15852},
   year      = {2025}
 }
-```
+```