metadata
license: cc-by-nc-sa-4.0
annotations_creators:
- machine-generated
language:
- en
task_categories:
- text-generation
- text-classification
task_ids:
- dialogue-generation
- language-modeling
- intent-classification
pretty_name: Flight Scenario Generator
size_categories:
- 10K<n<100K
tags:
- aviation
- atc
- simulation
- emergency-training
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Flight Scenario Generator Dataset
Dataset Description
A dynamically generated collection of aviation training scenarios covering normal operations, emergencies, and ATC communications.
Dataset Summary
- Content: Unique flight scenarios sample set
- Format: Text-based training scenarios with structured metadata
- Purpose: Aviation training, NLP for ATC communications, emergency procedure simulation
- Generation: Java-based scenario generator with realistic flight parameters
Dataset Structure
Data Fields
Each scenario contains:
- Flight identification (airline, flight number)
- Aircraft type and performance profile
- Route information (origin/destination)
- Current state (altitude, speed, heading)
- Weather conditions
- System status
- Sequence of scenario events (5-7 steps per scenario)
Data Splits
100% generated on-demand (no predefined splits)
Dataset Creation
Curation Rationale
Created to provide:
- Realistic aviation training scenarios
- Diverse emergency situations
- Standard ATC communication patterns
- System failure simulations
Source Data
graph LR
A[FAA Regulations] --> B[Scenario Generator]
C[Real-world ATC Transcripts] --> B
D[Aircraft Performance Manuals] --> B
E[Aviation Weather Reports] --> B
Annotations
Automatically tagged with:
Flight phase
Emergency type
Weather severity
System status
Uses
Direct Use
Pilot training simulations
ATC communication training
Aviation emergency procedure training
Out-of-Scope Use
Real-world flight planning
Actual aircraft operation
Legal/regulatory compliance
Dataset Statistics
Metric Value
Avg. scenario length 5-7 steps
Aircraft types 3
Airports 10
Weather conditions 6
Emergency types 8
Considerations
Bias/Risk
Over-represents commercial aviation
Limited to US airport codes
Simulated weather may not match real distributions
License
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Citation
bibtex
@misc{jones2025flight,
author = {Jones, C.J.},
title = {Flight Scenario Generator},
year = {2025},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/username/flight-scenario-generator}}
}
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