🚗 Vehicle Diagnostic Dataset (Structured & Model-Ready)

Unlock predictive insights with this structured dataset of comprehensive vehicle diagnostics, ideal for training AI models, building telematics dashboards, or simulating mechanical fault scenarios across a wide range of vehicle systems.

📦 What You Get:

A meticulously formatted dataset featuring thousands of structured diagnostic reports for:

• 🚛 Commercial vehicles (transmission systems)
• 🚗 Electric vehicles (battery systems: supercapacitor, lithium, nickel-metal)
• 🛻 SUVs (disc brake systems)
• 🏍️ Motorcycles (engine systems)

Each report includes:

• ✅ Fault codes (e.g., P0796, C0050, P0A80)
• ✅ Status levels and health indices
• ✅ Detailed parameters (efficiency, torque, vibration, load, temp)
• ✅ Time-series telemetry (performance and power trends)
• ✅ Sensor data (coolant flow, voltage, knock, etc.)
• ✅ Maintenance recommendations and scan metadata

🧠 Use Cases:

• Train machine learning models for predictive maintenance
• Fine-tune LLMs or tabular transformers for telemetry interpretation
• Generate synthetic sensor data for automotive simulations
• Create internal dashboards or visualizations for fleet monitoring
• Enable chat-based tools to interpret diagnostic inputs

📁 Format & Compatibility:

• CSV / TXT formats available
• Easily ingestible by Python, pandas, TensorFlow, PyTorch, LangChain, etc.
• Consistent structure for deterministic parsing

📜 License:

This product includes a commercial-use license, allowing:

• ✅ Use in commercial applications or services
• ✅ Model training and output redistribution
• ❌ No resale or redistribution of raw data

A limited free sample subset is also available on Hugging Face for evaluation purposes. CJJones/Vehicle_Diagnostics_LLM_Training_Sample

📌 Notes:

• This is a synthetic dataset, not scraped or proprietary data.
• Ideal for developers, ML researchers, fleet analysts, or simulation engineers.
  
  
  Copyright © C.J. Jones, 2025By 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.