| --- |
| language: |
| - ko |
| task_categories: |
| - image-text-to-text |
| - visual-question-answering |
| tags: |
| - web |
| - gui-agent |
| - screen-understanding |
| pretty_name: KO-Web-Understanding |
| configs: |
| - config_name: page_caption |
| data_files: data/page_caption/*.parquet |
| default: true |
| - config_name: screen_qa |
| data_files: data/screen_qa/*.parquet |
| - config_name: ocr_read_text |
| data_files: data/ocr_read_text/*.parquet |
| - config_name: grounding |
| data_files: data/grounding/*.parquet |
| - config_name: screen_change_caption |
| data_files: data/screen_change_caption/*.parquet |
| - config_name: action_between_screens |
| data_files: data/action_between_screens/*.parquet |
| - config_name: action_between_screens_think |
| data_files: data/action_between_screens_think/*.parquet |
| - config_name: next_action |
| data_files: data/next_action/*.parquet |
| - config_name: next_screen_prediction |
| data_files: data/next_screen_prediction/*.parquet |
| - config_name: next_screen_prediction_detailed |
| data_files: data/next_screen_prediction_detailed/*.parquet |
| --- |
| |
| # KO-Web-Understanding |
|
|
| Korean web screen understanding data used to train the **KORMo-Web** agents. Each subset is one task; pick it by name. |
|
|
| **Text only.** Screenshots are not included; `image_files` gives the file name of the screen(s) each row was made from. |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("KORMo-VL/ko-web-understanding", "grounding", split="train") |
| ``` |
|
|
| | Subset | Rows | Task | |
| |---|---:|---| |
| | `page_caption` | 1,419,854 | Grounded description of the whole screen (element names with 0–1000 coordinates) | |
| | `screen_qa` | 506,157 | Question answering about what is on the screen | |
| | `ocr_read_text` | 505,638 | Read the text in a given region or the whole screen | |
| | `grounding` | 1,517,176 | text_to_point / point_to_text / appearance_to_point (0–1000 coordinates) | |
| | `screen_change_caption` | 498,731 | Describe what changed between two screens and how | |
| | `action_between_screens` | 499,078 | Which action (click / scroll) turns screen 1 into screen 2 | |
| | `action_between_screens_think` | 498,517 | Same as above, with reasoning | |
| | `next_action` | 505,550 | Next action toward a goal (click) | |
| | `next_screen_prediction` | 506,005 | Predict the screen after a click | |
| | `next_screen_prediction_detailed` | 505,692 | Predict the screen after a click or scroll, in detail | |
| | **Total** | **6,962,398** | | |
|
|
| ## Fields |
|
|
| | Field | Description | |
| |---|---| |
| | `id` | Unique row id | |
| | `lang` | `ko` | |
| | `task` / `subtask` | Task name and variant (e.g. `click`, `scroll`, `text_to_point`) | |
| | `question` | User prompt | |
| | `answer` | Target answer. For action tasks, a JSON tool call such as `{"name": "click", "arguments": {"x": 500, "y": 300}}` | |
| | `reasoning` | Reasoning text when the task has one, else null | |
| | `image_files` | Screenshot file name(s) the row refers to | |
|
|
| Coordinates are normalized to 0–1000. |
|
|
| ## Notes |
|
|
| - Screens come from public Korean websites. Screens captured while logged in (my page, cart, checkout, mail, social media, community sites, etc.) were removed. |
| - Session, token and password values inside URLs were replaced with `[MASKED]`. |
| - `page_caption` keeps all mid-length captions; other subsets are random samples of about 500k rows each (grounding: about 500k per variant). |
|
|
