### 🗂️ Dataset Name  
**Fillable PDF Form Fields Dataset**

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### 📘 Description  
This dataset contains structured data extracted from multi-page PDF form templates stored in MongoDB.  
Each record represents a **single form field** (such as a text box or checkbox) from one of many forms processed by Instafill.ai [PDF form filler](https://instafill.ai/).


The dataset is designed to help analyze, visualize, or train models that understand how form layouts are represented digitally — including their positions, sizes, and attributes within a document canvas.  

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### 🧱 Schema  

| Column | Type | Description |
|--------|------|-------------|
| `fontSize` | `float` | Font size used for the text field (if applicable). |
| `height` | `float` | Height of the field’s bounding box in pixels. |
| `page` | `int` | Page number where the field appears in the PDF form. |
| `type` | `string` | Type of field, e.g. `text`, `checkbox`, `radio`, `select`, etc. |
| `value` | `string` | Default or filled-in value (if available). |
| `width` | `float` | Width of the field’s bounding box in pixels. |
| `x` | `float` | Horizontal coordinate (X position) of the field on the page canvas. |
| `y` | `float` | Vertical coordinate (Y position) of the field on the page canvas. |

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### 📊 Data Characteristics
- Covers multiple PDF forms (each form represented by many rows).  
- Coordinates (`x`, `y`) are relative to the original PDF page canvas (in points or pixels depending on processing scale).  
- Useful for layout analysis, document understanding, and AI form-filling applications.  
- Data collected from production forms used in real-world automation tasks — anonymized to remove any personal data.

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### 💡 Example Row
| fontSize | height | page | type | value | width | x | y |
|-----------|--------|------|------|--------|-------|---|---|
| 12 | 22 | 1 | text |  | 390 | 222.364 | 444.273 |

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### 🚀 Possible Use Cases
- Training layout-aware AI models for **PDF form detection and completion**.  
- Visualizing field distributions to optimize **form design and alignment**.  
- Benchmarking **AI form-filling systems** like Instafill.ai for accuracy and placement consistency.  
- Studying **geometric structure of documents** across industries (legal, medical, financial, etc.).