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- ---
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- license: cc-by-nc-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-nc-4.0
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+ language:
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+ - en
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+ task_categories:
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+ - text2text-generation
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+ - information-extraction
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+ tags:
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+ - vehicle-diagnostics
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+ - automotive
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+ - telemetry
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+ - predictive-maintenance
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+ - industrial-ai
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+ pretty_name: Vehicle Diagnostic Sample Dataset
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+ size_categories:
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+ - n<100
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+ dataset_info:
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+ features:
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+ - name: input
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+ type: string
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+ - name: output
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+ type: string
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+
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+ ---
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+
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+ # Dataset Card for Vehicle Diagnostic Sample Dataset
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+
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+ ## 🧩 Dataset Summary
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+
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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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+
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+ This subset (5 examples) is meant to demonstrate the structure and potential use cases of the **full dataset** available commercially on [Gumroad](https://gumroad.com) for industrial, machine learning, and predictive maintenance applications.
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+
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+ ## 💡 Use Cases
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+
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+ - Train models for **fault prediction** and **diagnosis classification**
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+ - Fine-tune text-to-text or information extraction models
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+ - Build synthetic data generators for simulation platforms
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+ - Analyze parameter trends for **telemetry-driven maintenance planning**
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+
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+ ## 📁 Dataset Structure
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+
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+ Each entry follows the structure:
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+
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+ ```json
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+ {
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+ "input": "Generate comprehensive vehicle diagnostic for <vehicle> <system> system, config=<config>",
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+ "output": "<structured diagnostic report with parameters, metrics, fault code, and recommendations>"
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+ }