Update README.md

README.md

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 # SVG Basic Benchmark Dataset (svg_basic_benchmark_v0)
 
 Presto Design is proud to announce this public benchmark to help advance the field of machine-powered graphic design.
-Available at: https://huggingface.co/datasets/Presto-Design/svg_basic_benchmark_v0
 
 ## Why This Matters
 
-Professional graphic design is increasingly reliant on Large Language Models (LLMs) due to their unique capabilities
-that traditional image generation models like Stable Diffusion cannot match. LLMs excel at:
+Professional graphic design is increasingly reliant on Large Language Models (LLMs) due to their unique capabilities that traditional image generation models like Stable Diffusion cannot match. LLMs excel at:
 - Working with branded assets and specific stock photos
 - Utilizing brand-specific fonts and typography
 - Creating scalable, resolution-independent designs
 - Maintaining precise control over design elements
 - Generating semantic, editable markup (SVG)
 
-As a leader in developing cutting-edge LLM-powered graphic design models, Presto Design recognizes that
-LLMs have historically struggled with graphic design tasks. This benchmark represents a "fifth grader test" 
-for LLMs - given an image, can they perfectly replicate it? This fundamental capability is a crucial 
-stepping stone toward developing truly creative and professional design systems.
+As a leader in developing cutting-edge LLM-powered graphic design models, Presto Design recognizes that LLMs have historically struggled with graphic design tasks. This benchmark represents a "fifth grader test" for LLMs - given an image, can they perfectly replicate it? 
+
+This fundamental capability is a crucial stepping stone toward developing truly creative and professional design systems.
 
 ## Dataset Contents
 
 - 2000 test samples, each containing:
-  - image: A rendered PNG version of the SVG poster (1080x1080 pixels max)
+  - image: A rendered PNG version of the SVG poster (280x280 pixels for speed and efficiency)
   - completion: The full SVG markup for the poster
 
 ## Design Features
@@ -53,7 +50,7 @@ The benchmark tests comprehensive understanding of SVG features including:
 - Shapes: Geometric shapes and masked images
 - Images: Integration of stock photos from the Unsplash dataset with proper attribution
 - Advanced Features: masks, gradients, strokes, icons
-- Color Management: RGB, HSL, hex values, opacity
+- Color Replication
 
 ## Technical Details