LLM Training Dataset 100k Antenna Design Examples

📡 Synthetic Antenna Design Dataset (Samples Across AM/FM/LTE/5G/WiFi/UHF)

This is a synthetic, technically coherent dataset of 20 optimized antenna design samples, formatted for machine learning, signal processing simulations, and telecom AI prompt engineering. Each entry is a complete design record generated to match realistic engineering constraints across multiple bands and antenna types.

View sample on Hugging Face: https://huggingface.co/datasets/CJJones/LLM_Training_Antenna_Design

💾 What You Get:

• 100k high-quality, structured antenna design samples
• Each includes:
  • Frequency (Hz)
  • Material (Copper, Gold, Silver, Aluminum)
  • Antenna Type (Yagi, MIMO Array, Microstrip, Long-Wire, etc.)
  • Band (AM, FM, LTE, 5G, WiFi, UHF)
  • Config (Enhanced, Optimized, Folded, etc.)
  • Physical Dimensions (size, boom length, diameter, etc.)
  • Key parameters:
    • Gain (dBi)
    • Efficiency (0–1)
    • Impedance (Ohms)
    • VSWR (Voltage Standing Wave Ratio)

🔧 Ideal For:

• Training or fine-tuning LLMs in RF/telecom domains
• Prompt engineering and synthetic simulation logs
• Educational use in DSP, antenna theory, and wireless design
• Testing intelligent agents in embedded or SDR contexts
• Bootstrapping RF-aware agents for IoT or robotics

✅ Format:

• JSON (.json) file for easy parsing
• Clean and labeled fields for quick integration
• Lightweight (<50 KB), ready to plug into your pipeline

⚠️ License:

By purchasing this dataset, you are granted a non-exclusive, worldwide, perpetual license to use, modify, and distribute the dataset and its derivatives for commercial and non-commercial purposes, subject to the terms below:

✅ You May:

• Use the dataset in commercial applications, products, models, and research.
• Modify, adapt, and build upon the dataset for any use.
• Redistribute derived works, models, or outputs generated using the dataset.

❌ You May Not:

• Resell, redistribute, or repackage the raw dataset itself in its original form.
• Claim exclusive ownership or authorship of the dataset.
• Use the dataset for unlawful, harmful, or deceptive purposes.

💬 Attribution (Optional):

Attribution is appreciated but not required.

Note: This dataset is being sold to fund the development of a 500M -1B, fully transparent GPT community model. All data used in the model will eventually be made open to the public with it's release.

⚠️ Disclaimer:

The dataset is provided "as is", without warranties or guarantees of any kind. The creator assumes no liability for any direct or indirect damages resulting from the use of the dataset.

🧠 Creator:

C.J. Jones, indie AI engineer focused on generating synthetic, domain-specific datasets that bridge the gap between simulation and reasoning.