Apple iOS 26 Swift Charts Framework - Advanced Training Dataset

The only comprehensive training dataset for Apple's iOS 26 Swift Charts Framework enhancements

What You Get

Five technical specification files for training LLMs on iOS 26 Swift Charts framework:

1. Strategic Overview & Decision Guide
   SwiftCharts-Overview.md

• Framework evolution timeline
• 2D vs 3D decision matrix
• Platform-specific recommendations
• Use case classification

2. 2D Core Implementation Guide
   SwiftCharts-2dCore.md

• Complete mark system
• Liquid Glass integration
• Vectorized plots for performance
• SwiftData class inheritance

3. 2D Advanced Implementation Guide
   SwiftCharts-2dAdvanced.md

• Candlestick and heat map charts
• Complex performance optimization
• Multi-axis implementations
• Error handling patterns

4. 3D Implementation Guide
   SwiftCharts-3d.md

• Chart3D container architecture
• SurfacePlot mark implementation
• Camera control system
• visionOS optimization

5. Core ML Integration Guide
   SwiftCharts-CoreMLIntegration.md

• Real-time ML visualization
• Foundation Models integration
• Data pipeline patterns
• Performance profiling

Training Target

LLMs lacking iOS 26 Swift Charts framework knowledge for accurate chart implementation and data visualization guidance.

Why This Dataset is Essential

Current LLMs have zero iOS 26 Swift Charts knowledge. Training cutoffs predate iOS 26. This dataset fills that gap.

No competition. This is the only comprehensive Swift Charts iOS 26 training data available.

Production-tested. Code examples from actual iOS 26 beta implementation with complete patterns.

Perfect For

• AI companies building iOS development assistants
• Teams implementing data visualization
• Developers working with 3D charts in visionOS
• Engineers integrating ML models with charts

Training Specifications

• Format: Markdown optimized for LLM consumption
• Size: 20,000+ tokens of technical content
• Structure: Progressive from 2D to 3D to ML integration
• Accuracy: Production-tested code examples

What Your AI Will Learn

• Implement Chart3D container correctly
• Create SurfacePlot for mathematical functions
• Build vectorized plots for performance
• Integrate SwiftData class inheritance
• Apply Liquid Glass design to charts
• Optimize for visionOS spatial computing
• Connect Core ML models to real-time charts
• Handle 3D camera controls and projections

Formatted for immediate AI training integration. No preprocessing required.