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elaborated readme

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- # Code
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  # Project Setup
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  ## Requirements
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  python -m ipykernel install --user --name=venv --display-name "Python (venv)"
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  ```
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- 5. **Run the Project**
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- - If using Jupyter Notebook:
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- ```sh
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- jupyter lab
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- ```
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- - If running a script:
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- ```sh
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- python your_script.py
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- ```
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-
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  ## Notes
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  - Ensure you have necessary system dependencies installed (e.g., `opencv` may require additional system libraries).
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  - If you encounter any issues, ensure you're using the correct Python environment (`venv` activated).
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- ```
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+ # Code for the Paper titled "Perpetual Misogyny: How Gendered Tropes Shape Text-To-Image AI Personalization"
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+ ### Repository Structure
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+
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+ ```
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+ CIVITAI_VISUALIZATIONS/
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+ β”œβ”€β”€ .virtual_documents/
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+ β”œβ”€β”€ data/ # Final datasets
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+ β”‚ β”œβ”€β”€ subset1/
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+ β”‚ β”œβ”€β”€ subset2/
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+ β”‚ └── ...
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+ β”œβ”€β”€ misc/ # Miscellaneous scripts and utilities
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+ β”œβ”€β”€ plots/ # Generated plots and visualizations
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+ β”œβ”€β”€ scripts/ # Jupyter notebooks for analysis
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+ β”‚ β”œβ”€β”€ 0_Scraping_image_metadata.ipynb # Scraping scripts interacting with the CivitAI API, dataset consolidation
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+ β”‚ β”œβ”€β”€ Section_2_image_grid.ipynb # Code to generate an image grid as shown in Section 2
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+ β”‚ β”œβ”€β”€ Section_6-1_Histogram_contributions.ipynb # Histograms showing image and model contributions over the span of two years
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+ β”‚ β”œβ”€β”€ Section_6-2_Demographics.ipynb # Visualization of estimations of the demographic distribution of subjects depicted in CivitAI imagery
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+ β”‚ β”œβ”€β”€ Section_6-3_Models.ipynb # Models download for systematic inference + ranking and promotional tags visualizations
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+ β”‚ β”œβ”€β”€ Section_6-6_Users_Images.ipynb # Cumulative plot of users' image contributions
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+ β”‚ β”œβ”€β”€ Section_6-7_Users_Models.ipynb # Sankey diagram of users' model contributions
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+ β”‚ β”œβ”€β”€ Updated_Section_6-1_Models_ratios.ipynb # Models' NSFW ratio estimation
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+ β”‚ β”œβ”€β”€ Updated_Section_6-4_Top_Models_Adapters.ipynb # Ranking plot of popular adapters by download count
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+ β”‚ └── Updated_Section_6-5_LoRA_metadata.ipynb # LoRA download and textual training tags extraction, categorizing and ranking
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+ β”œβ”€β”€ .gitignore
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+ β”œβ”€β”€ .gitmodules
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+ β”œβ”€β”€ README.md
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+ └── requirements.txt
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+ ```
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+
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  # Project Setup
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  ## Requirements
 
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  python -m ipykernel install --user --name=venv --display-name "Python (venv)"
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  ```
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  ## Notes
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  - Ensure you have necessary system dependencies installed (e.g., `opencv` may require additional system libraries).
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  - If you encounter any issues, ensure you're using the correct Python environment (`venv` activated).
 
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