| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - text-classification |
| - image-classification |
| - multimodal |
| tags: |
| - web-security |
| - phishing-detection |
| - html-analysis |
| - screenshot |
| - manually-verified |
| dataset_info: |
| features: |
| - name: url |
| dtype: string |
| description: Website URL and folder name for resource access |
| - name: html_content |
| dtype: string |
| description: "Path to HTML file (format: {url}/page.html)" |
| - name: screenshot_content |
| dtype: image |
| description: "Path to screenshot image (format: {url}/screenshot.png)" |
| - name: label |
| dtype: string |
| description: Classification label from metadata.txt (phishing/legitimate) |
| splits: |
| - name: train |
| num_bytes: 1024000000 |
| num_examples: 1000 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/dataset.csv |
|
|
| --- |
| # Web Content Classification Dataset with HTML and Screenshots |
|
|
| ## Dataset |
|
|
| Description: This dataset contains 1,000 carefully curated examples of web content designed for phishing detection classification tasks. Each example consists of a website URL along with its complete HTML content, a visual screenshot, and a manually verified classification label. |
|
|
| Important Note: This entire dataset was meticulously created through manual processes. Each website was individually visited, analyzed, and verified to ensure the highest quality and accuracy of labels. |
|
|
| ## Dataset Structure |
|
|
| The dataset is organized with a main CSV file that references all resources using a consistent folder structure: |
|
|
| ### CSV Columns: |
| - url: Website URL and folder name for resource access |
| - html_content: Path to HTML file (`{url}/page.html`) |
| - screenshot_content: Path to screenshot image (`{url}/screenshot.png`) |
| - label: Classification label (phishing/legitimate) |
|
|
| ### Directory Structure: |
|
|
| dataset: |
| files: |
| - dataset.csv |
| folders: |
| - name: example-domain-1.com |
| files: |
| - page.html |
| - screenshot.png |
| - metadata.txt |
| - name: example-domain-2.com |
| files: |
| - page.html |
| - screenshot.png |
| - metadata.txt |
| |
| ## File Reference System |
|
|
| The dataset uses a consistent referencing system where each URL serves as both the website address and folder name: |
|
|
| - HTML Content: "{url}/page.html (e.g., `example.com/page.html`)" |
| - Screenshot: "{url}/screenshot.png (e.g., `example.com/screenshot.png`) " |
| - Label: Value contained in `{url}/metadata.txt` |
|
|
| ## Collection Methodology |
|
|
| ### Manual Curation Process |
| This dataset was created through an extensive manual verification process: |
|
|
| 1. Individual Website Visits: Each of the 1,000 websites was personally visited and analyzed |
| 2. Manual Verification: Every classification label was manually assigned after careful examination |
| 3. Quality Control: Each entry was individually checked for accuracy and completeness |
| 4. Content Capture: HTML and screenshots were captured while ensuring proper rendering |
|
|
| ### Data Points Collected: |
|
|
| data_points: |
| URL: "The exact folder name and web address" |
| HTML content: "Full source code saved as {url}/page.html" |
| Visual representation: "High-quality screenshot saved as `{url}/screenshot.png`" |
| Classification label: "Value stored in `{url}/metadata.txt` (verified as phishing/legitimate)" |
| |
| |
