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