| --- |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| tags: |
| - vehicle-diagnostics |
| - automotive |
| - telemetry |
| - predictive-maintenance |
| - industrial-ai |
| - synthetic |
| - llm-training |
| - conversational-ai |
| - automation |
| - json |
| - retrieval-augmented-generation |
| - enterprise |
| pretty_name: Vehicle Diagnostic Sample Dataset |
| size_categories: |
| - n<100 |
| --- |
| |
| # Vehicle Diagnostic Sample Dataset |
|
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| ## 🧩 Dataset Summary |
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| This dataset contains a sample subset of structured vehicle diagnostic logs generated for various vehicle types and subsystems, such as **transmissions**, **battery systems**, **brakes**, and **engines**. Each entry includes detailed parameters such as fault codes, performance metrics, measurements, temporal trends, and maintenance recommendations. |
|
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| This subset (500 examples) is meant to demonstrate the structure and potential use cases of the **full dataset** available commercially on [Gumroad](https://datadeveloper1.gumroad.com/l/oizcli) for industrial, machine learning, and predictive maintenance applications. |
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| The full CJ Jones' synthetic dataset catalog is available at: https://datadeveloper1.gumroad.com |
|
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| Note: This Vehicle Diagnostic dataset has had 3 purchases, after 6, the license is going to change, it will be fully free and open source to the world and a new version 2.0 will be developed. |
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| <a href="https://datadeveloper1.gumroad.com/l/dxxja" style="display: inline-block; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; font-weight: 600; font-size: 16px; padding: 14px 28px; border-radius: 50px; text-decoration: none; box-shadow: 0 4px 15px rgba(0,0,0,0.2); transition: transform 0.2s, box-shadow 0.2s; border: 1px solid rgba(255,255,255,0.2);" onmouseover="this.style.transform='translateY(-2px)'; this.style.boxShadow='0 6px 20px rgba(0,0,0,0.3)';" onmouseout="this.style.transform='translateY(0)'; this.style.boxShadow='0 4px 15px rgba(0,0,0,0.2)';">Want more? 🚀 Get the AI Startup Bundle from Gumroad.</a> |
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|
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| ## 💡 Use Cases |
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| - Train models for **fault prediction** and **diagnosis generation** |
| - Fine-tune text-to-text models on structured industrial reports |
| - Build synthetic data generators for simulation platforms |
| - Analyze parameter trends for **telemetry-driven maintenance planning** |
|
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| ## 📁 Dataset Structure |
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| Each entry follows the structure: |
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| ```json |
| { |
| "input": "Generate comprehensive vehicle diagnostic for <vehicle> <system> system, config=<config>", |
| "output": "<structured diagnostic report with parameters, metrics, fault code, and recommendations>" |
| } |
| 🧪 Example |
| |
| { |
| "input": "Generate comprehensive vehicle diagnostic for commercial transmission system, config=automatic", |
| "output": "Diagnostic ID=17f869b8... torque=261.78 Nm... Maintenance Recommendations: filter replacement, fluid change, seal inspection" |
| } |
| |
| |
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| |
