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README.md
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license: cc-by-nc-sa-4.0
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---
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license: cc-by-nc-sa-4.0
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language:
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- en
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task_categories:
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- text-generation
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- question-answering
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- sequence-modeling
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task_ids:
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- dialogue-systems
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- technical-support
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- troubleshooting
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tags:
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- drones
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- technical-support
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- troubleshooting
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- UAV
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- robotics
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- DJI
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- Autel
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- Skydio
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- cloud-services
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- error-codes
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- diagnostics
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- flight-software
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- hardware-issues
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- battery-management
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- camera-systems
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- mission-planning
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- authentication
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- API-errors
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- firmware
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- telemetry
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- gimbal
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- obstacle-avoidance
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- geofencing
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- live-streaming
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- iOS
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- Android
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- Windows
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- macOS
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dataset_info:
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features:
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- name: dialogue
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dtype: string
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description: Technical support conversation between user and support agent
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- name: equipment
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dtype: string
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description: Drone model or software involved in the issue
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- name: software_version
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dtype: string
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description: Version of the software/firmware
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- name: OS
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dtype: string
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description: Operating system of the controller device
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- name: error_code
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dtype: string
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description: Technical error code reported
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- name: reproduction_steps
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dtype: string
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description: Steps to reproduce the issue
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- name: troubleshooting_steps
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dtype: string
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description: Recommended troubleshooting steps
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- name: diagnostic_tools
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dtype: string
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description: Tools mentioned for diagnostics
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- name: technical_references
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dtype: string
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description: Knowledge base articles or manuals referenced
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---
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# Drone Technical Support Dialogue Dataset
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## Dataset Description
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This dataset contains simulated technical support conversations between drone operators and support technicians, covering various hardware and software issues across multiple drone platforms (DJI, Autel, Skydio) and cloud services.
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### Supported Tasks
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- Technical support dialogue systems
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- Troubleshooting sequence prediction
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- Error code classification
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- Multi-step problem resolution modeling
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### Languages
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English
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## Dataset Structure
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Each instance contains:
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- Full dialogue between user and support technician
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- Equipment details (drone model/software)
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- Software/firmware version
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- Operating system information
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- Error codes encountered
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- Troubleshooting steps attempted
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- Diagnostic tools recommended
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- Technical references mentioned
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## Dataset Creation
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### Curation Rationale
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Created to support development of AI assistants for drone technical support, capturing realistic troubleshooting workflows across common UAV platforms.
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### Source Data
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Simulated technical support conversations based on real-world drone support scenarios.
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### Annotations
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Each dialogue includes metadata about:
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- Equipment involved
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- Software versions
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- Error codes
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- Operating systems
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- Troubleshooting steps
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- Diagnostic tools
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- Technical references
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### Personal and Sensitive Information
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No real personal information is included - all dialogues are simulated.
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## Considerations for Using the Data
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### Social Impact
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This dataset can help improve technical support systems for drone operators, potentially reducing downtime for critical operations like search & rescue, infrastructure inspection, and agricultural surveying.
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### Discussion of Biases
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The dataset focuses primarily on commercial drone platforms (DJI, Autel, Skydio) and may not represent issues with less common systems.
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### Other Known Limitations
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1. Limited to English language interactions
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2. Simulated dialogues may not capture all real-world support scenarios
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3. Focuses on specific drone models and software versions
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## Additional Information
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### Dataset Curators
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C.J. Jones
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### Licensing Information
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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### Citation Information
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If you use this dataset in your research, please cite it appropriately.
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### Contributions
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C.J. Jones created and maintains this dataset.
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