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  path: RL/task.jsonl
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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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  path: RL/task.jsonl
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+ ## Paper
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+ This dataset is introduced in our paper:
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+ [OpenMobile-2: Building Versatile Mobile Agents with Scalable Environments and App-Native Tools](https://huggingface.co/papers/2610.14157)
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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.