| --- |
| dataset_info: |
| features: |
| - name: video_id |
| dtype: string |
| - name: title |
| dtype: string |
| - name: os |
| dtype: string |
| - name: num_scenes |
| dtype: int64 |
| - name: scene_timestamps_in_sec |
| sequence: float64 |
| - name: screen_bboxes |
| sequence: |
| sequence: int64 |
| - name: ui_element_bboxes |
| sequence: |
| sequence: |
| sequence: float64 |
| - name: raw_actions |
| list: |
| list: |
| - name: box_id |
| dtype: int64 |
| - name: details |
| dtype: string |
| - name: type |
| dtype: string |
| - name: actions |
| list: |
| list: |
| - name: action_type_id |
| dtype: int64 |
| - name: action_type_text |
| dtype: string |
| - name: annot_position |
| sequence: float64 |
| - name: lift |
| sequence: float64 |
| - name: touch |
| sequence: float64 |
| - name: type_text |
| dtype: string |
| - name: video_fps |
| dtype: float64 |
| - name: video_width |
| dtype: int64 |
| - name: video_height |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 69622260 |
| num_examples: 19725 |
| - name: validation |
| num_bytes: 1641036 |
| num_examples: 495 |
| - name: test |
| num_bytes: 565401 |
| num_examples: 100 |
| - name: test_unseen_os |
| num_bytes: 169823 |
| num_examples: 50 |
| download_size: 18085770 |
| dataset_size: 71998520 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| - split: test |
| path: data/test-* |
| - split: test_unseen_os |
| path: data/test_unseen_os-* |
| task_categories: |
| - video-text-to-text |
| license: mit |
| --- |
| |
| [Paper](https://arxiv.org/abs/2505.12632) | |
| [Code](https://github.com/runamu/monday) | |
| [Dataset](https://huggingface.co/datasets/runamu/MONDAY) | |
| [Project](https://monday-dataset.github.io) |
|
|
| # Dataset Card for MONDAY |
|
|
| _MONDAY_ (Mobile OS Navigation Task Dataset for Agents from YouTube) is a cross-platform mobile navigation dataset for training vision-language models. This dataset contains |
| - **20K** curated list of videos of mobile navigation tasks from YouTube, including Android and iOS devices. |
| - **333K** detected scenes, each representing a temporally segmented step within a mobile navigation task. |
| - **313K** identified actions, including touch, scroll, hardware, typing, long press, multi touch and zoom. |
|
|
| MONDAY is also used to construct **VG-GUI-Bench** in the ECCV 2026 paper [Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction](https://huggingface.co/papers/2606.29445) ([Code](https://github.com/VG-GUI-TASKER/VG-GUI-TASKER)). |
|
|
| Please visit our [project page](https://monday-dataset.github.io/) for more details. |
|
|
| ## Data Fields |
| - **video_id (str)**: Unique identifier for the video. |
| - **title (str)**: Title of the video. |
| - **os (str)**: Operating system of the mobile device used in the video. |
| - **num_scenes (int)**: Number of detected scenes in the video. |
| - **scene_timestamps_in_sec (list)**: A list of timestamps of the detected scenes in seconds. The list has a length of `num_scenes`. |
| - **screen_bboxes (list)**: A list of bounding boxes for the detected phone screen in each scene, given as (left, top, right, bottom) pixel coordinates. The list has a length of `num_scenes`. |
| - **ui_element_bboxes (list)**: A list of bounding boxes for the detected user interface (UI) elements in each scene, given as (left, top, right, bottom) coordinates normalized to the [0, 1] range. The list has a length of `num_scenes - 1`. |
| ```python |
| # example |
| ui_element_bboxes = [ |
| [ui_bbox1_scene1, ui_bbox2_scene1, ...], # UI elements in scene 1 |
| [ui_bbox1_scene2, ui_bbox2_scene2, ...], # UI elements in scene 2 |
| ... |
| ] |
| ``` |
| - **raw_actions (list)**: A list of raw actions identified from the video for each scene. The list has a length of `num_scenes - 1`. Multiple actions can be annotated within a single scene, and all are considered valid. Each element is a list of actions annotated in that scene, with each action represented as a dictionary containing the following keys: |
| - **box_id (int)**: The index of the UI element's bounding box (from `ui_element_bboxes[scene_id]`) associated with the action. If the action does not correspond to any UI element, the value is -1. |
| - **details (str)**: A detailed description of the action, either automatically generated or manually annotated during the identification process. |
| - **type (str)**: A text label describing the action type. Possible values include `"touch"`, `"scroll"`, `"hardware"`, `"typing"`, `"long press"`, `"multi touch"` and `"zoom"`, listed in order of frequency in the dataset. |
| ```python |
| # example |
| raw_actions = [ |
| [ |
| {"box_id": 0, "details": "...", "type": "touch"}, # First action in scene 1 |
| {"box_id": 1, "details": "...", "type": "touch"}, # Second action in scene 1 |
| ], |
| [ |
| {"box_id": -1, "details": "...", "type": "typing"}, # First action in scene 2 |
| ], |
| ... |
| ] |
| ``` |
| Note: The `box_id` is -1 for actions that do not correspond to any UI element. |
|
|
| - **actions (list)**: A list of actions in each scene, processed for mobile navigation agent training and evaluation. The list has a length of `num_scenes - 1`. Multiple actions can be annotated within a single scene, and all are considered valid. Each element is a list of actions annotated in that scene, with each action represented as a dictionary containing the following keys: |
| - **action_type_id (int)**: An integer identifier for the action type, based on the action type sets used in [SeeClick](https://github.com/njucckevin/SeeClick/blob/main/agent_tasks/action_type.py) and [AitW](https://github.com/google-research/google-research/blob/master/android_in_the_wild/action_type.py). |
| - **action_type_text (str)**: A text label describing the action type. Possible values include `"click"`, `"scroll down"`, `"press home"`, `"type"`, `"scroll up"`, `"other hardware"`, `"scroll left"`, `"zoom or multi-touch"`, `"press power"`, `"scroll right"`, and `"press back"`, listed in order of frequency in the dataset. |
| - **annot_position (array)**: A flattened array of bounding box coordinates for detected UI elements, formatted as (top, left, height, width), normalized to the [0, 1] range, and rounded to three decimal places. If applicable, the length of this array is `4 * num_ui_elements` per scene; otherwise, it is an empty list. |
| - **lift (array)**: Lift coordinates in (x, y) format, normalized to the [0, 1] range and rounded to three decimal places. If not applicable, the value is (-1, -1). |
| - **touch (array)**: Touch coordinates in (x, y) format, normalized to the [0, 1] range and rounded to three decimal places. If not applicable, the value is (-1, -1). |
| - **type_text (str)**: The entered text, if the action type is `"type"`; otherwise, this is an empty string. |
| ```python |
| # example |
| actions = [ |
| [ |
| {"action_type_id": 4, "action_type_text": "click", "annot_position": annot_position, "lift": lift_point_action1, "touch": touch_point_action1, "type_text": ""}, # First action in scene 1 |
| {"action_type_id": 4, "action_type_text": "click", "annot_position": annot_position, "lift": lift_point_action2, "touch": touch_point_action2, "type_text": ""}, # Second action in scene 1 |
| ], |
| [ |
| {"action_type_id": 3, "action_type_text": "type", "annot_position": [], "lift": [-1, -1], "touch": [-1, -1], "type_text": "..."}, # First action in scene 2 |
| ], |
| ... |
| ] |
| ``` |
| Note: The data format of `actions` is derived from [SeeClick](https://github.com/njucckevin/SeeClick/blob/main/agent_tasks/readme_agent.md) and [AitW](https://github.com/google-research/google-research/tree/master/android_in_the_wild#dataset-format). |
|
|
| - **video_fps (float)**: Frames per second of the video. _This value must be preserved when downloading the video to ensure consistency with `scene_timestamps_in_sec`._ |
| - **video_width (int)**: Width of the video in pixels. _This value must be preserved when downloading the video to ensure consistency with `screen_bboxes`._ |
| - **video_height (int)**: Height of the video in pixels. _This value must be preserved when downloading the video to ensure consistency with `screen_bboxes`._ |
| |
| ## Citation |
| ```bibtex |
| @inproceedings{jang2025_monday, |
| title={{Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents}}, |
| author={Jang, Yunseok and Song, Yeda and Sohn, Sungryull and Logeswaran, Lajanugen and Luo, Tiange and Kim, Dong-Ki and Bae, Kyunghoon and Lee, Honglak}, |
| booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, |
| year={2025} |
| } |
| |
| @inproceedings{fan2026bridging, |
| title = {Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction}, |
| author = {Fan, Sunqi and Liu, Qingle and Yin, Runqi and Guo, Meng-Hao and Yang, Shuojin}, |
| booktitle = {European Conference on Computer Vision (ECCV)}, |
| year = {2026} |
| } |
| ``` |
