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README.md

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 ---
-license: cc-by-sa-4.0
+language:
+- en
+
+license: cc-by-4.0
+
+pretty_name: InfoBay.AI SVG Dataset Catalogue
+
+size_categories:
+- 100K<n<1M
+
+task_categories:
+- image-classification
+- image-generation
+- feature-extraction
+- visual-question-answering
+
+task_ids:
+- computer-vision
+- multimodal-learning
+
+tags:
+- svg
+- vector
+- icons
+- ui
+- ux
+- branding
+- logos
+- illustrations
+- graphic-design
+- computer-vision
+- multimodal
+- generative-ai
+- frontend-ai
+- enterprise-ai
+- design-automation
 ---
+
+# InfoBay.AI SVG Dataset Catalogue
+
+## Overview
+
+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.
+
+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.
+
+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.
+
+---
+
+# Dataset Statistics
+
+| Property | Value |
+|----------|------:|
+| Dataset Name | InfoBay.AI SVG Dataset Catalogue |
+| Asset Type | SVG (Scalable Vector Graphics) |
+| Total Assets | 873,754 |
+| Storage Format | Apache Parquet |
+| License | CC BY 4.0 |
+
+---
+
+# Dataset Categories
+
+The collection includes vector graphics across multiple industries and applications.
+
+### Key Categories
+
+- UI Controls
+- Logos & Branding
+- Technology & Devices
+- Communication
+- Business & Finance
+- Health & Medical
+- Media & Entertainment
+- Icons
+- Web Components
+- Interface Elements
+- Navigation Assets
+- Product Illustrations
+- Educational Graphics
+- Marketing Assets
+
+---
+
+# Primary AI Applications
+
+This dataset is suitable for:
+
+- Generative AI
+- Computer Vision
+- Vision Language Models (VLMs)
+- Large Multimodal Models (LMMs)
+- UI Component Recognition
+- Frontend Code Generation
+- Design Retrieval
+- Image Similarity Search
+- Search Indexing
+- Vector Embedding Models
+- OCR Research
+- Design Recommendation
+- Interface Understanding
+- Human-Computer Interaction
+
+---
+
+# Enterprise Applications
+
+- UI / UX Design
+- Frontend Development
+- Graphic Design
+- Brand Asset Management
+- Enterprise Search
+- Marketing Automation
+- Product Design
+- Design Systems
+- Digital Asset Management
+- AI-assisted Creative Platforms
+
+---
+
+# Storage Format
+
+The dataset is distributed in **Apache Parquet** format.
+
+Each row represents one original SVG asset.
+
+Schema:
+
+| Column | Description |
+|---------|-------------|
+| relative_path | Original file path |
+| filename | Original filename |
+| extension | File extension |
+| size | Original file size (bytes) |
+| content | Binary SVG content |
+
+The complete directory structure and SVG files can be restored programmatically from the Parquet dataset.
+
+---
+
+# Why Apache Parquet?
+
+Apache Parquet provides:
+
+- Efficient compression
+- Faster loading
+- Reduced storage requirements
+- Hugging Face compatibility
+- Streaming support
+- Cloud-native architecture
+- Distributed processing
+- Scalable AI pipelines
+
+---
+
+# Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("YOUR_USERNAME/YOUR_DATASET_NAME")
+
+print(dataset)
+```
+
+---
+
+# Example
+
+```python
+sample = dataset["train"][0]
+
+print(sample["filename"])
+print(sample["extension"])
+print(sample["size"])
+print(sample["content"])
+```
+
+---
+
+# AI Research Use Cases
+
+Researchers can leverage this dataset for:
+
+- UI Component Detection
+- Logo Recognition
+- Design Similarity Search
+- Interface Understanding
+- Frontend Generation
+- Image Embedding Models
+- Retrieval-Augmented Generation (RAG)
+- Multimodal Representation Learning
+- Human-Computer Interaction
+- Design Recommendation Systems
+
+---
+
+# Citation
+
+```bibtex
+@dataset{infobay_svg_dataset_2026,
+  title     = {InfoBay.AI SVG Dataset Catalogue},
+  author    = {InfoBay.AI},
+  year      = {2026},
+  publisher = {InfoBay.AI},
+  license   = {CC BY 4.0}
+}
+```
+
+---
+
+# License
+
+This dataset is released under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license.
+
+You are free to:
+
+- Share
+- Copy
+- Redistribute
+- Remix
+- Transform
+- Build upon the material
+- Use commercially
+
+Provided that appropriate attribution is given to **InfoBay.AI**.
+
+License:
+
+https://creativecommons.org/licenses/by/4.0/
+
+---
+
+# Disclaimer
+
+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.
+
+---
+
+# Acknowledgements
+
+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.