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Parent(s):
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task: outline scraper and dataset strategy
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README.md
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@@ -36,9 +36,73 @@ h: Serving & Inference (optional)
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Describe use of agents
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# **Build**
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- **Beginner Developers** learning CSS through interactive examples.
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## **Key Metrics**
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1. **Styling Accuracy** – How closely does the CSS match the user
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2. **Creativity & Uniqueness** – Does it produce diverse and visually appealing results?
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3. **Functional Usability** – Are the generated styles accessible and responsive?
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4. **Iteration Success** – Does the model effectively refine the layout based on feedback?
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- **Dev.to / Hashnode**: Post in the morning for better visibility.
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- **LinkedIn**: 8 AM - 10 AM EST (when professionals browse feeds).
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---
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###
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Describe use of agents
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# **Data Collection & Dataset Creation**
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## **Dataset Structure for Kaggle**
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### Core Components
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1. **HTML Templates**
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- Basic structural template of CSS Zen Garden html
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2. **CSS Styles**
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- Raw CSS files from CSS Zen Garden
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- Categorized style variations
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- Responsive design patterns
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3. **Screenshots & Visuals**
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- Multiple viewport sizes (lg, sm)
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- Key UI component screenshots
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4. **Metadata & Annotations**
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- Natural language descriptions of styles
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- Design pattern classifications
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- Accessibility ratings
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### Dataset Format
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```json
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{
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"id": "style_001",
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"html_template": "path/to/template.html",
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"css_style": "path/to/style.css",
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"screenshots": {
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"lg": "path/to/desktop.png",
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"sm": "path/to/mobile.png"
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},
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"metadata": {
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"description": "A minimalist business template with...",
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"category": ["business", "minimalist"],
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"accessibility_score": 98,
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"color_scheme": ["#ffffff", "#000000", "#4285f4"]
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}
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}
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```
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### Data Collection Process
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1. **Web Scraping**
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- Scrape CSS Zen Garden submissions
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- Collect associated screenshots
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- Extract design descriptions
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2. **Manual Curation**
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- Review and categorize styles
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- Validate HTML/CSS combinations
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- Add detailed annotations
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3. **Automated Processing**
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- Generate screenshots across viewports
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- Extract color schemes
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- Calculate accessibility scores
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4. **Quality Assurance**
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- Validate file integrity
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- Check completeness of metadata
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- Verify screenshot quality
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### Usage Guidelines
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- Dataset is available under MIT License
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- Proper attribution required for CSS Zen Garden content
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- Screenshots may be used for training and testing
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- Metadata can be extended with additional annotations
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# **Build**
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- **Beginner Developers** learning CSS through interactive examples.
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## **Key Metrics**
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1. **Styling Accuracy** – How closely does the CSS match the user's description?
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2. **Creativity & Uniqueness** – Does it produce diverse and visually appealing results?
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3. **Functional Usability** – Are the generated styles accessible and responsive?
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4. **Iteration Success** – Does the model effectively refine the layout based on feedback?
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- **Dev.to / Hashnode**: Post in the morning for better visibility.
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- **LinkedIn**: 8 AM - 10 AM EST (when professionals browse feeds).
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### CSS Zen Garden Scraping Tools
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1. **Python-based Tools**
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- **Scrapy**
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- Robust framework for large-scale scraping
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- Handles JavaScript rendering
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- Built-in pipeline for downloading files
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```python
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class ZenGardenSpider(scrapy.Spider):
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name = 'zengarden'
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start_urls = ['http://www.csszengarden.com/']
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def parse(self, response):
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for design in response.css('.design-selection li'):
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yield {
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'title': design.css('a::text').get(),
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'css_url': design.css('a::attr(href)').get(),
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'designer': design.css('.designer::text').get()
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}
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```
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- **Beautiful Soup 4**
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- Simpler alternative for static content
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- Good for parsing HTML/CSS structure
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- Easy integration with requests library
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2. **Browser Automation**
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- **Selenium WebDriver**
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- Captures dynamic content
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- Takes screenshots automatically
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- Handles different viewport sizes
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- **Playwright**
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- Modern alternative to Selenium
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- Better performance
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- Built-in screenshot and PDF generation
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3. **CSS Processing Tools**
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- **PostCSS**
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- Parses and analyzes CSS
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- Extracts color schemes
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- Identifies design patterns
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- **StyleStats**
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- Generates CSS analytics
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- Measures complexity
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- Reports accessibility metrics
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### Scraping Process
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1. **Initial Setup**
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```bash
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pip install scrapy beautifulsoup4 selenium playwright postcss-py
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```
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2. **Data Collection Steps**
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- Fetch main gallery page
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- Extract design links and metadata
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- Download CSS files
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- Capture screenshots at different viewports
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- Parse and analyze CSS properties
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3. **Legal Considerations**
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- Respect robots.txt
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- Include appropriate delays between requests
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- Store attribution information
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- Follow CSS Zen Garden's terms of use
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4. **Data Validation**
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- Verify CSS file integrity
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- Check image quality
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- Validate HTML structure
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- Ensure complete metadata
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