Datasets:
Tasks:
Image-Text-to-Text
Modalities:
Image
Formats:
imagefolder
Languages:
Chinese
Size:
1K - 10K
ArXiv:
License:
File size: 4,771 Bytes
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language:
- zh
license: apache-2.0
size_categories:
- 1K<n<10K
pretty_name: Mobile-R1
task_categories:
- image-text-to-text
tags:
- Multimodal
- GUI
- Agent
---
# Dataset Card for Mobile-R1
## Dataset Description
- **Homepage:** [Mobile-R1 homepage](https://mobile-r1.github.io/Mobile-R1/)
- **Paper:** [Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training](https://huggingface.co/papers/2506.20332)
## Dataset Structure
- `images/`: All the screenshots
- `data.jsonl`: The trajectory data
### Data Fields
All screenshots are stored in the `images/` directory.
We describe the structure of a single trajectory entry from the file `data.jsonl`, which contains the full interaction trajectories and action history.
- `app_name`: String. The name of the mobile application (e.g., "闲鱼" / Xianyu) where the task is performed.
- `trajectory_length`: Integer. Number of steps in the trajectory, indicating how many actions were taken to complete the task.
- `instruction`: String. The user instruction describing the goal of the task (e.g., "Open Xianyu and search for the cheapest GTX 5090").
- `system`: String. System prompt provided to the agent, guiding its reasoning and action prediction behavior.
- `image_width`: Integer. Width of the device screen at the time of screenshot capture, used for coordinate alignment.
- `image_height`: Integer. Height of the device screen at the time of screenshot capture, used for coordinate alignment.
- `trajectory`: List of step dictionaries. Each entry corresponds to one interaction step and contains:
- `image`: String. Filename of the PNG image capturing the screen at that step.
- `thought`: String. The agent's internal reasoning about the current state and next action.
- `subtask`: String. A concise description of the current subtask to be completed.
- `action`: String. A JSON-formatted string representing the function call executed at this step:
- `name`: Function name (e.g., `"mobile_use"`).
- `arguments`: Dictionary containing the following action parameters:
- `action` (string, required): The action to perform. Supported values:
- `"key"`: Perform a key event (e.g., `"volume_up"`, `"power"`, `"clear"`; `text` required).
- `"click"`: Click at the specified screen coordinate (`coordinate` required).
- `"long_press"`: Long-press at the specified coordinate for a given duration (`coordinate`, `time` required).
- `"swipe"`: Swipe from one coordinate to another (`coordinate`, `coordinate2` required).
- `"type"`: Input specified text into the active input box (`text` required).
- `"system_button"`: Press a system button (`button` required; options: `"Back"`, `"Home"`, `"Menu"`, `"Enter"`).
- `"open"`: Open an app (`text` required for app name).
- `"wait"`: Wait for the specified number of seconds (`time` required).
- `"terminate"`: Terminate the current task and report its status (`status` required, `"success"` or `"failure"`).
- `coordinate` (array of two ints): [x, y] pixel coordinates from the top-left corner. Required for `"click"`, `"long_press"`, and `"swipe"`.
- `coordinate2` (array of two ints): [x, y] pixel coordinates for the end point. Required only for `"swipe"`.
- `text` (string): The text to input (for `"type"`, `"key"`, or app name for `"open"`).
- `time` (number): Duration in seconds. Required for `"long_press"` and `"wait"`.
- `button` (string): System button identifier (`"Back"`, `"Home"`, `"Menu"`, `"Enter"`). Required for `"system_button"`.
- `status` (string): The status of the terminated task (`"success"` or `"failure"`). Required only for `"terminate"`.
- `response`: String. Full model response including `<think>`, `<action>`, and `<tool_call>` XML tags.
### Data Stats
The dataset contains a total sample of **1,007 trajectories**, covering **28 different mobile applications**. The overall statistics are summarized in the following table:
| App | Total Samples | Trajectory Count |
|-----------|---------------|------------------|
| 28 | 3,924 | 1,007 |
> 📌 **Note**: Each trajectory may contain multiple samples (steps), representing individual interactions during task execution.
## Dataset Creation
We have created a high-quality dataset comprising 24,521 manually annotated instances derived from 4,635 trajectories.
To facilitate the training and utilization of our dataset, focusing on Chinese mobile applications, we have open-sourced a sample of 1007 trajectories covering 28 different applications.
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