name string | description string | version string | total_entries int64 | categories dict | training dict | technologies list | use_cases list | performance dict | license string | citation string |
|---|---|---|---|---|---|---|---|---|---|---|
MEGA Dataset V2 - Multi-Domain | Comprehensive dataset covering Crypto Trading, Six Sigma, Sun Tzu Strategy, Quantum Math, and Problem Solving | 2.0 | 35,000 | {
"crypto_trading": {
"entries": 5000,
"topics": [
"Machine Learning Models (XGBoost, LSTM, GRU)",
"Technical Indicators (RSI, MACD, Bollinger Bands)",
"Black-Scholes Options Pricing",
"DCF Valuation",
"Monte Carlo Simulations",
"Risk Management (VaR, Sharpe, Sortino)",
... | {
"model_type": "JAX/Haiku Autoencoder",
"architecture": "512 -> 1024 -> 512",
"epochs": 40,
"optimizer": "Adam (SGD-like)",
"loss_function": "MSE",
"initial_loss": 0.1847,
"target_improvement": "55-60%"
} | [
"Mojo (100% processing)",
"JAX/Haiku (Neural Networks)",
"Chapel (Parallel Computing)",
"PowerShell (Automation)",
"Python (ML Libraries)"
] | [
"Financial modeling and trading",
"Quality improvement and Six Sigma projects",
"Strategic business planning",
"Advanced problem-solving training",
"Quantitative decision making",
"Risk management and optimization"
] | {
"generation_speed": "18-20x faster than Python",
"entries_per_minute": "~350-400",
"total_generation_time": "~15 minutes"
} | MIT | Created with Mojo - Ultra-fast dataset generation and training |
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