Add license and paper/project/code links

README.md

@@ -1,18 +1,19 @@
 ---
-pretty_name: OpenMobile-Data-v2
 language:
 - en
 - zh
+license: apache-2.0
+size_categories:
+- 100K<n<1M
 task_categories:
 - image-text-to-text
+pretty_name: OpenMobile-Data-v2
 tags:
 - mobile
 - gui-agent
 - multimodal
 - emulator
 - simulator
-size_categories:
-- 100K<n<1M
 configs:
 - config_name: sft
   data_files:
@@ -29,6 +30,11 @@ configs:
 
 # OpenMobile-Data-v2
 
+This dataset is presented in the paper [OpenMobile-2: Building Versatile Mobile Agents with Scalable Environments and App-Native Tools](https://huggingface.co/papers/2610.14157).
+
+Project page: https://os-copilot.github.io/OpenMobile2-Home/  
+Code: https://github.com/OpenMobile2/OpenMobile2-Code
+
 Two parts. SFT is one decision step per example: the model reads the remaining screenshots and the conversation history, then writes a `Thought:` followed by one tool call. Coordinates belong in the tool arguments. The screen space in the prompt is **999×999**. RL is one task per line, with the instruction, the initial state, and the check for success.
 
 SFT has **11,643** trajectories and **118,582** steps, about **59.2 GB**. Trajectory folders contain only `screenshot_step{K}.png`. RL has **2,475** tasks in one JSONL file.
@@ -74,4 +80,4 @@ swift sft \
             gui_mcp_qwen35_last3_noloop_notitle_nocoord_think_thought
 ```
 
-Adjust `model`, batch size, and output paths for your local [ms-swift](https://github.com/modelscope/ms-swift) setup and hardware.
+Adjust `model`, batch size, and output paths for your local [ms-swift](https://github.com/modelscope/ms-swift) setup and hardware.