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Add license and paper/project/code links

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This PR updates the dataset card by adding the Apache 2.0 license to the YAML metadata and linking to the paper, project page, and GitHub repository in the Markdown content. The existing dataset card content is otherwise preserved.

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  1. README.md +10 -4
README.md CHANGED
@@ -1,18 +1,19 @@
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  ---
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- pretty_name: OpenMobile-Data-v2
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  language:
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  - en
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  - zh
 
 
 
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  task_categories:
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  - image-text-to-text
 
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  tags:
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  - mobile
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  - gui-agent
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  - multimodal
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  - emulator
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  - simulator
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- size_categories:
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- - 100K<n<1M
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  configs:
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  - config_name: sft
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  data_files:
@@ -29,6 +30,11 @@ configs:
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  # OpenMobile-Data-v2
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  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.
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  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 \
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  gui_mcp_qwen35_last3_noloop_notitle_nocoord_think_thought
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  ```
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- Adjust `model`, batch size, and output paths for your local [ms-swift](https://github.com/modelscope/ms-swift) setup and hardware.
 
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  ---
 
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  language:
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  - en
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  - zh
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+ license: apache-2.0
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+ size_categories:
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+ - 100K<n<1M
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  task_categories:
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  - image-text-to-text
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+ pretty_name: OpenMobile-Data-v2
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  tags:
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  - mobile
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  - gui-agent
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  - multimodal
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  - emulator
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  - simulator
 
 
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  configs:
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  - config_name: sft
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  data_files:
 
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  # OpenMobile-Data-v2
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+ 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).
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+
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+ Project page: https://os-copilot.github.io/OpenMobile2-Home/
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+ Code: https://github.com/OpenMobile2/OpenMobile2-Code
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+
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  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.
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  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.
 
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  gui_mcp_qwen35_last3_noloop_notitle_nocoord_think_thought
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  ```
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+ Adjust `model`, batch size, and output paths for your local [ms-swift](https://github.com/modelscope/ms-swift) setup and hardware.