README.md

---
license: agpl-3.0
---
# COMMANDNET Military Science Dataset (1900-1999)

<p align="left">
  <img src="https://img.shields.io/badge/Format-ShareGPT_JSONL-111827?style=for-the-badge&logo=json&logoColor=white" alt="Format: ShareGPT JSONL" />
  <img src="https://img.shields.io/badge/Language-English-1f2937?style=for-the-badge" alt="Language: English" />
  <img src="https://img.shields.io/badge/Time%20Span-1900--1999-0f766e?style=for-the-badge" alt="Time span: 1900-1999" />
  <img src="https://img.shields.io/badge/Rows-10k-7c3aed?style=for-the-badge" alt="Rows: 10k" />
</p>

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:

```json
{
  "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.