CJJones's picture
Update README.md
83afba1 verified
|
raw
history blame
3.98 kB
metadata
license: cc-by-nc-sa-4.0
language:
  - en
task_categories:
  - text-generation
  - question-answering
  - sequence-modeling
task_ids:
  - dialogue-systems
  - technical-support
  - troubleshooting
tags:
  - drones
  - technical-support
  - troubleshooting
  - UAV
  - robotics
  - DJI
  - Autel
  - Skydio
  - cloud-services
  - error-codes
  - diagnostics
  - flight-software
  - hardware-issues
  - battery-management
  - camera-systems
  - mission-planning
  - authentication
  - API-errors
  - firmware
  - telemetry
  - gimbal
  - obstacle-avoidance
  - geofencing
  - live-streaming
  - iOS
  - Android
  - Windows
  - macOS
dataset_info:
  features:
    - name: dialogue
      dtype: string
      description: Technical support conversation between user and support agent
    - name: equipment
      dtype: string
      description: Drone model or software involved in the issue
    - name: software_version
      dtype: string
      description: Version of the software/firmware
    - name: OS
      dtype: string
      description: Operating system of the controller device
    - name: error_code
      dtype: string
      description: Technical error code reported
    - name: reproduction_steps
      dtype: string
      description: Steps to reproduce the issue
    - name: troubleshooting_steps
      dtype: string
      description: Recommended troubleshooting steps
    - name: diagnostic_tools
      dtype: string
      description: Tools mentioned for diagnostics
    - name: technical_references
      dtype: string
      description: Knowledge base articles or manuals referenced

Drone Technical Support Dialogue Dataset

Dataset Description

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.

Supported Tasks

  • Technical support dialogue systems
  • Troubleshooting sequence prediction
  • Error code classification
  • Multi-step problem resolution modeling

Languages

English

Dataset Structure

Each instance contains:

  • Full dialogue between user and support technician
  • Equipment details (drone model/software)
  • Software/firmware version
  • Operating system information
  • Error codes encountered
  • Troubleshooting steps attempted
  • Diagnostic tools recommended
  • Technical references mentioned

Dataset Creation

Curation Rationale

Created to support development of AI assistants for drone technical support, capturing realistic troubleshooting workflows across common UAV platforms.

Source Data

Simulated technical support conversations based on real-world drone support scenarios.

Annotations

Each dialogue includes metadata about:

  • Equipment involved
  • Software versions
  • Error codes
  • Operating systems
  • Troubleshooting steps
  • Diagnostic tools
  • Technical references

Personal and Sensitive Information

No real personal information is included - all dialogues are simulated.

Considerations for Using the Data

Social Impact

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.

Discussion of Biases

The dataset focuses primarily on commercial drone platforms (DJI, Autel, Skydio) and may not represent issues with less common systems.

Other Known Limitations

  1. Limited to English language interactions
  2. Simulated dialogues may not capture all real-world support scenarios
  3. Focuses on specific drone models and software versions

Additional Information

Dataset Curators

C.J. Jones

Licensing Information

Creative Commons Attribution 4.0 International (CC BY 4.0)

Citation Information

If you use this dataset in your research, please cite it appropriately.

Contributions

C.J. Jones created and maintains this dataset.