Datasets:
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README.md
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---
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license: cc-by-nc-
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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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# Dataset Card for 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 (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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## 💡 Use Cases
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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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## 📁 Dataset Structure
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Each entry follows the structure:
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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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}
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