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@@ -23,15 +23,15 @@ tags:
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  - design-automation
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  ---
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- # InfoBay.AI SVG Dataset Catalogue
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  ## Overview
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- The **InfoBay.AI SVG Dataset Catalogue** is a professionally curated collection of **873,754 scalable vector graphics (SVG)** designed for Artificial Intelligence, Computer Vision, UI/UX Design, Search Systems, Frontend Development, Design Automation, and Multimodal Foundation Models.
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- The dataset contains high-quality vector assets spanning user interface components, branding materials, logos, technology icons, healthcare graphics, business illustrations, communication symbols, and media-related visual elements.
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- For efficient storage, cloud-native distribution, and scalable AI workflows, the original SVG files have been serialized into **Apache Parquet** while preserving the original filenames, directory structure, file extensions, and binary content. Every original SVG asset can be reconstructed exactly from the provided Parquet files.
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  ---
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  | Property | Value |
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  |----------|------:|
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  | Dataset Name | InfoBay.AI SVG Dataset Catalogue |
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- | Asset Type | SVG (Scalable Vector Graphics) |
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- | Total Assets | 873,754 |
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  | Storage Format | Apache Parquet |
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  | License | CC BY 4.0 |
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  # Enterprise Applications
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- - UI / UX Design
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- - Frontend Development
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- - Graphic Design
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- - Brand Asset Management
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- - Enterprise Search
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- - Marketing Automation
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- - Product Design
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- - Design Systems
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- - Digital Asset Management
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- - AI-assisted Creative Platforms
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  ---
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  The dataset is distributed in **Apache Parquet** format.
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- Each row represents one original SVG asset.
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  Schema:
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  | filename | Original filename |
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  | extension | File extension |
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  | size | Original file size (bytes) |
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- | content | Binary SVG content |
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- The complete directory structure and SVG files can be restored programmatically from the Parquet dataset.
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  ---
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- # Why Apache Parquet?
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-
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- Apache Parquet provides:
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-
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- - Efficient compression
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- - Faster loading
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- - Reduced storage requirements
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- - Hugging Face compatibility
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- - Streaming support
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- - Cloud-native architecture
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- - Distributed processing
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- - Scalable AI pipelines
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-
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- ---
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-
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- # Loading the Dataset
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-
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- ```python
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- from datasets import load_dataset
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-
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- dataset = load_dataset("YOUR_USERNAME/YOUR_DATASET_NAME")
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-
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- print(dataset)
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- ```
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-
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- ---
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-
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- # Example
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-
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- ```python
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- sample = dataset["train"][0]
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-
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- print(sample["filename"])
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- print(sample["extension"])
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- print(sample["size"])
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- print(sample["content"])
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- ```
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-
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- ---
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  # AI Research Use Cases
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  Researchers can leverage this dataset for:
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- - UI Component Detection
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- - Logo Recognition
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- - Design Similarity Search
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- - Interface Understanding
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- - Frontend Generation
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- - Image Embedding Models
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- - Retrieval-Augmented Generation (RAG)
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- - Multimodal Representation Learning
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- - Human-Computer Interaction
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- - Design Recommendation Systems
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  ---
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  ```bibtex
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  @dataset{infobay_svg_dataset_2026,
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- title = {InfoBay.AI SVG Dataset Catalogue},
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  author = {InfoBay.AI},
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  year = {2026},
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  publisher = {InfoBay.AI},
@@ -195,33 +150,6 @@ Researchers can leverage this dataset for:
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  }
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  ```
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- ---
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-
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- # License
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- This dataset is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
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-
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- You are free to:
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-
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- - Share
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- - Copy
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- - Redistribute
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- - Remix
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- - Transform
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- - Build upon the material
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- - Use commercially
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-
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- Provided that appropriate attribution is given to **InfoBay.AI**.
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-
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- License:
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-
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- https://creativecommons.org/licenses/by/4.0/
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-
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- ---
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-
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- # Disclaimer
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-
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- This dataset is provided for research, educational, and enterprise AI development purposes. Users are responsible for ensuring compliance with all applicable copyright laws, intellectual property rights, and licensing requirements when using or redistributing the dataset.
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  ---
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  **Data Creation**
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  -Ph: (+91) 9236398619
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  -Email: datareq@infobay.ai
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  ---
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- # Acknowledgements
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-
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- The **InfoBay.AI SVG Dataset Catalogue** has been curated to accelerate research in Computer Vision, UI/UX Intelligence, Design Automation, Frontend AI, Multimodal Learning, Enterprise Search, and Generative AI. We hope this collection contributes to the development of next-generation intelligent design systems.
 
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  - design-automation
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  ---
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+ # InfoBay.AI PSD Image Dataset
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  ## Overview
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+ The **InfoBay.AI PSD Image Dataset** is a professionally curated collection of is a curated collection of native Adobe Photoshop design files created for artificial intelligence, graphic design automation, computer vision, multimodal learning, and creative content generation. The dataset contains fully editable .psd files spanning UI/UX designs, web layouts, mobile app interfaces, social media creatives, marketing materials, posters, banners, advertisements, presentations, digital artwork, and layered graphic compositions across multiple industries.
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+ Unlike flattened image formats, native PSD files preserve editable layers, smart objects, masks, text, vector shapes, effects, adjustment layers, blending modes, guides, and design metadata. This makes the dataset highly valuable for training AI models focused on design understanding, automated image editing, layout analysis, creative AI, and design-to-code applications.
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+ For efficient storage, cloud-native distribution, and scalable AI workflows, the original PSD files have been serialized into **Apache Parquet** while preserving the original filenames, directory structure, file extensions, and binary content. Every original PSD asset can be reconstructed exactly from the provided Parquet files.
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  ---
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  | Property | Value |
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  |----------|------:|
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  | Dataset Name | InfoBay.AI SVG Dataset Catalogue |
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+ | Asset Type | PSD (Photoshop Document) |
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+ | Total Assets | 211,021 |
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  | Storage Format | Apache Parquet |
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  | License | CC BY 4.0 |
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  # Enterprise Applications
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+ - Enterprise marketing and advertising
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+ - Brand governance and consistency
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+ - E-commerce product content production
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+ - Creative agency workflow automation
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+ - Digital asset management and retrieval
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+
 
 
 
 
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  ---
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  The dataset is distributed in **Apache Parquet** format.
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+ Each row represents one original PSD asset.
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  Schema:
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  | filename | Original filename |
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  | extension | File extension |
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  | size | Original file size (bytes) |
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+ | content | Binary PSD content |
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+ The complete directory structure and PSD files can be restored programmatically from the Parquet dataset.
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  ---
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  # AI Research Use Cases
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  Researchers can leverage this dataset for:
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+ - AI graphic design and generation
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+ - Image editing and manipulation AI
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+ - Layer and object understanding
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+ - Typography, logo, and branding AI
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+ - E-commerce and advertising automation
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+ - Layout understanding and document design
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+ - Digital art and creative production AI
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+
 
 
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  ---
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  ```bibtex
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  @dataset{infobay_svg_dataset_2026,
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+ title = {InfoBay.AI PSD Dataset Catalogue},
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  author = {InfoBay.AI},
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  year = {2026},
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  publisher = {InfoBay.AI},
 
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  }
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  ```
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  ---
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  **Data Creation**
 
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  -Ph: (+91) 9236398619
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  -Email: datareq@infobay.ai
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  ---