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README.md

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 ---
 license: cc-by-4.0
+pretty_name: SVG Infographic Dataset
+tags:
+  - svg
+  - infographics
+  - vector-graphics
+  - computer-vision
+  - document-ai
+  - ocr
+  - multimodal-ai
+  - data-visualization
+size_categories:
+  - n<1K
 ---
+
+# SVG Infographic Dataset
+
+## Overview
+
+The SVG Infographic Dataset is a curated collection of vector-based infographics intended to support research into how AI systems process and interpret information-rich visual content.
+
+Infographics communicate information through text, graphical elements, layouts, colors, shapes, and spatial relationships. They can represent concepts, explain processes, compare categories, summarize data, and communicate structured information visually.
+
+SVG files preserve visual appearance alongside an XML-based representation of graphic elements. This allows researchers to explore infographics both as rendered images and as structured documents.
+
+This initial release contains **10 sample SVG files** for exploration and experimentation. It is a sample subset, not the complete dataset.
+
+## Dataset Details
+
+- **Format:** SVG (Scalable Vector Graphics)
+- **Files:** 10 sample files
+- **Publisher:** DataCluster Labs
+- **Release Type:** Initial sample release
+
+## Why SVG Infographics?
+
+Depending on the individual file, SVG source code may contain:
+
+- Text elements and labels
+- Vector paths and geometric shapes
+- Groups and nested elements
+- Colors, fills, and stroke attributes
+- Coordinates and positioning information
+- Relationships between visual components
+- References to external or embedded assets
+
+These properties support research combining source-level analysis with image-based processing. The presence of individual elements may vary across files.
+
+## Potential Applications
+
+- Infographic and layout understanding
+- OCR and text extraction
+- Multimodal AI and visual question answering
+- Document intelligence and information extraction
+- SVG parsing, rendering, and analysis
+- Chart and diagram understanding
+
+These are potential applications; the dataset is not claimed to be annotated or benchmarked for these tasks.
+
+## Intended Audience
+
+This dataset may be useful for:
+
+- AI and machine learning researchers
+- Computer vision engineers
+- Multimodal model developers
+- Document AI researchers
+- OCR and information extraction practitioners
+- Data visualization researchers
+- Developers building SVG processing tools
+
+## Key Features
+
+SVG files can preserve text, shapes, paths, colors, and layout information, enabling analysis of both visual content and underlying document structure.
+
+## Limitations
+
+This release contains only 10 sample files and may not represent the diversity or scale of the complete collection.
+
+Annotations, ground-truth labels, OCR transcripts, bounding boxes, and standardized dataset splits are not included unless explicitly provided.
+
+## License
+
+This release is distributed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license, provided the publisher has the necessary rights to license all included files under these terms.
+
+Under CC BY 4.0, users may share and adapt the licensed material, including for commercial purposes, subject to the license conditions and appropriate attribution.
+
+The license applies only to material covered by this release. It does not automatically grant rights to unreleased collections, trademarks, or third-party material with separate licensing terms.
+
+License details: https://creativecommons.org/licenses/by/4.0/
+
+## Citation
+
+Please use the following citation when referencing this release:
+
+DataCluster Labs. *SVG Infographic Dataset*. Initial sample release, 10 SVG files.
+
+For academic publications or technical reports, include the dataset repository URL and access date.
+
+## Publisher and Contact
+
+**DataCluster Labs**
+
+Website: https://datacluster.ai/
+
+For questions about the dataset, additional samples, research collaboration, or access to a larger collection:
+
+Email: sales@datacluster.ai