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README.md

@@ -30,177 +30,177 @@ configs:
   - path: linux-mint/data-00000-of-00001.arrow
     split: train
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-# Screen2Coord Dataset
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-**Screen2Coord** is a dataset for training models that take a **screenshot, screen dimensions, and a textual action description** as input and output the **coordinates of the target bounding box** on the screen. This dataset is intended for image-text-to-text LLMs applied to user interface interactions.
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-## Dataset Structure
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-### New feature! Windows, MacOS, Linux-Ubuntu subsets!
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-### Data Instances
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-A typical data instance in Screen2Coord consists of:
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-- `image`: A screenshot image in PNG format
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-- `image_size`: List of two integers `[width, height]` representing the screen size in pixels (e.g., `[1200, 674]`)
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-- `mapped_bboxes`: List of bounding box objects containing:
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-  - `bbox`: List of integers `[x_min, y_min, x_max, y_max]` specifying the bounding box coordinates
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-  - `texts`: List of textual descriptions associated with the bounding box (e.g., `"click on my profile"`)
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-### Data Fields
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-- `image`: Image file in PNG format
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-- `image_size`: Sequence of integers representing image dimensions
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-- `mapped_bboxes`: Sequence of dictionaries with bounding box information
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+# Screen2Coord_denorm Dataset
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+**Screen2Coord** is a dataset for training models that take a **screenshot, screen dimensions, and a textual action description** as input and output the **coordinates of the target bounding box** on the screen. This dataset is intended for image-text-to-text LLMs applied to user interface interactions.
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+## Dataset Structure
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+### New feature! Windows, MacOS, Linux-Ubuntu subsets!
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+### Data Instances
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+A typical data instance in Screen2Coord consists of:
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+- `image`: A screenshot image in PNG format
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+- `image_size`: List of two integers `[width, height]` representing the screen size in pixels (e.g., `[1200, 674]`)
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+- `mapped_bboxes`: List of bounding box objects containing:
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+  - `bbox`: List of integers `[x_min, y_min, x_max, y_max]` specifying the bounding box coordinates
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+  - `texts`: List of textual descriptions associated with the bounding box (e.g., `"click on my profile"`)
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+### Data Fields
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+- `image`: Image file in PNG format
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+- `image_size`: Sequence of integers representing image dimensions
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+- `mapped_bboxes`: Sequence of dictionaries with bounding box information
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 ### Data Splits
 
 The dataset contains the following splits:
@@ -209,172 +209,172 @@ The dataset contains the following splits:
 - `windows` (train): 4 examples
 - `linux-ubuntu` (train): 1 examples
 - `linux-mint` (train): 1 examples
-## Purpose / How to Use
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-The main idea of this dataset is to train **image-text-to-text LLMs** that can interpret a screenshot and textual prompt **along with screen dimensions and instructions**, e.g., `"open the browser"`.
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-The model receives:
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-- **Screenshot of the screen**
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-- **Screen size** `[width, height]`
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-- **Textual instruction** (prompt)
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-And outputs:
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-- **Bounding box coordinates** corresponding to where the action should be performed.
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-  For example, clicking in the middle of the predicted bounding box executes the instructed action.
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-This enables models to perform **UI actions** based on visual context and natural language instructions.
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-For example, during training, you can provide the model with a full prompt from an agent system and also add a click tool, supplying the labeled bounding boxes from this dataset in the tool call.
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-## Contributions
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+## Purpose / How to Use
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+The main idea of this dataset is to train **image-text-to-text LLMs** that can interpret a screenshot and textual prompt **along with screen dimensions and instructions**, e.g., `"open the browser"`.
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+The model receives:
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+- **Screenshot of the screen**
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+- **Screen size** `[width, height]`
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+- **Textual instruction** (prompt)
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+And outputs:
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+- **Bounding box coordinates** corresponding to where the action should be performed.
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+  For example, clicking in the middle of the predicted bounding box executes the instructed action.
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+This enables models to perform **UI actions** based on visual context and natural language instructions.
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+For example, during training, you can provide the model with a full prompt from an agent system and also add a click tool, supplying the labeled bounding boxes from this dataset in the tool call.
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+## Contributions
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 If you can help with **annotations** or support the dataset **financially**, please send a direct message. The dataset is updated in my spare time.