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IMPROVE: Make milestone examples self-contained with clear dataset handling
Each example now has its own README explaining: - Prerequisites and module dependencies - How to run the example - Dataset details (size, source, caching) - Expected results and training times - Architecture diagrams - Historical significance - Troubleshooting tips Dataset improvements: - Better progress bar with MB downloaded/total - Visual progress indicator [████░░░░] style - Clear feedback about download status This addresses the confusion about how datasets work: - DataLoader (Module 10) doesn't download data, just batches it - DataManager handles downloads and caching - Each example explains its data requirements clearly - Self-contained folders with everything needed
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