LLM Training Dataset 100k Drone Telemetry and Control Reasoning
š Elevate Your Drone AI with Realistic Training Data
This massive synthetic dataset contains 100k drone mission scenarios covering emergency responses, environmental monitoring, urban operations, and high-risk aerial missions. Perfect for training LLMs, autonomous drone systems, or aviation safety AI. (Free sample available on Hugging Face with dataset viewer. https://huggingface.co/datasets/CJJones/LLM_FineTune_Synhetic_Drone_Telemetry_Control
Whatās Included
ā 100k missions with structured telemetry, queries, and expert responses
ā Mission Types: Glacier mapping, wildfire monitoring, urban deliveries, offshore inspections, storm tracking, and more
ā Dynamic Parameters:
- Battery drain, wind conditions, GPS failures
- Obstacle avoidance (wires, birds, terrain)
- Rotor/ESC faults, icing risks, turbulence
ā Safety Protocols: Emergency landing sequences, swarm evasion, powerline detection
ā Geospatial Data: Simulated latitudes/longitudes with altitude-adaptive logic
Sample Use Cases
- Train LLMs for drone pilot assistance (Q&A, emergency decision-making)
- Fine-tune autonomous navigation models
- Simulate edge-case failures (battery loss, sensor conflicts)
- Benchmark risk-assessment algorithms
Technical Highlights
- Java-generated for consistency
-
Structured tags:
<telemetry>
,<query>
,<response>
- Realistic physics: Battery drain rates, wind impact, thermal dynamics
- Mission-specific logic: Urban vs. offshore vs. high-altitude profiles
š” Ideal for: AI researchers, drone startups, aviation safety developers, and synthetic data collectors.
š„ Instant Download: Text files (UTF-8) with scenario batches. No dependenciesāuse with any ML framework.
"Like flight-sim data for dronesābut with emergency drills baked in."
ā ļø Note: Synthetic data. Validate with real-world tests before deployment.
Copyright Ā© C.J. Jones, 2025
By purchasing this dataset, you are granted a non-exclusive, worldwide, perpetual license to use, modify, and distribute the dataset and its derivatives for commercial and non-commercial purposes, subject to the terms below:
ā You May:
- Use the dataset in commercial applications, products, models, and research.
- Modify, adapt, and build upon the dataset for any use.
- Redistribute derived works, models, or outputs generated using the dataset.
ā You May Not:
- Resell, redistribute, or repackage the raw dataset itself in its original form.
- Claim exclusive ownership or authorship of the dataset.
- Use the dataset for unlawful, harmful, or deceptive purposes.
š¬ Attribution (Optional):
Attribution is appreciated but not required.
Note: This dataset is being sold to fund the development of a 500M -1B, fully transparent GPT community model. All data used in the model will eventually be made open to the public with it's release.
ā ļø Disclaimer:
The dataset is provided "as is", without warranties or guarantees of any kind. The creator assumes no liability for any direct or indirect damages resulting from the use of the dataset.
AI-generated drone mission scenarios for training LLMs, autonomous navigation, and safety protocols. Key Features: ā 100K scenarios with telemetry, queries, and expert responses ā Diverse Missions: Urban deliveries, wildfire monitoring, offshore inspections, storm tracking ā Realistic Variables: Battery drain, GPS failures, wind/weather, obstacle avoidance ā Emergency Protocols: Bird strikes, rotor faults, icing, swarm evasion, powerline detection ā Structured Data: <telemetry>, <query>, and <response> tags for easy parsing Perfect For: Training drone AI assistants Simulating edge-case failures Benchmarking safety algorithms