metadata
license: agpl-3.0
COMMANDNET Military Science Dataset (1900-1999)
This dataset contains synthetic instruction-tuning examples for historical and doctrinal military analysis.
Dataset Summary
- Task: chat instruction tuning
- Domain: historical military analysis
- Time span: 1900-1999
- Format: ShareGPT JSONL
- Languages: English
- Size: 10,000 rows in the included generated artifact
- License: See repository or dataset hosting metadata
It focuses on a consistent strategic voice and explicit:
- Causal Analysis
- Counterfactual Analysis
It covers both conventional and asymmetric contexts, constrained to the historical window 1900-1999.
Splits
- train: single full JSONL file
- validation: not provided
- test: not provided
Format
Each record is a JSON object with a ShareGPT-style conversation and metadata including:
- year
- decade
- warfare_type
- doctrine_family
- military_science_tags
Record Structure
Example:
{
"id": "skynet-000001",
"conversations": [
{"from": "system", "value": "..."},
{"from": "human", "value": "..."},
{"from": "gpt", "value": "..."}
],
"metadata": {
"year": 1966,
"decade": "1960s",
"warfare_type": "conventional",
"doctrine_family": "Amphibious Operational Sequencing",
"military_science_tags": ["..."]
}
}
Included Material
The dataset is organized around doctrine families such as:
- Industrial Attrition and Trench Penetration
- Infiltration and Decentralized Assault Groups
- Deep Operation
- Blitz and Mobile Combined Arms
- Amphibious Operational Sequencing
- Protracted People's War
- Population-Centric Counterinsurgency
- Maneuver Warfare and Decision-Cycle Pressure
- AirLand Battle
- Deterrence and Escalation Management
Quality Characteristics
- Historical bound checks within 1900-1999
- Explicit causal and counterfactual sections in the assistant text
- Duplicate suppression using scenario fingerprints
- ShareGPT-style formatting for chat fine-tuning workflows
Citation
If you use this dataset, cite the dataset card and any downstream work built from it according to your project requirements.