| --- |
| license: agpl-3.0 |
| --- |
| # COMMANDNET Military Science Dataset (1900-1999) |
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|
| <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> |
|
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| This dataset contains synthetic instruction-tuning examples for historical and doctrinal military analysis. |
|
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| ## Dataset Summary |
|
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| - 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 |
|
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| It focuses on a consistent strategic voice and explicit: |
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| - Causal Analysis |
| - Counterfactual Analysis |
|
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| It covers both conventional and asymmetric contexts, constrained to the historical window 1900-1999. |
|
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| ## Splits |
|
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| - train: single full JSONL file |
| - validation: not provided |
| - test: not provided |
|
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| ## Format |
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| Each record is a JSON object with a ShareGPT-style conversation and metadata including: |
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| - year |
| - decade |
| - warfare_type |
| - doctrine_family |
| - military_science_tags |
|
|
| ## Record Structure |
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| Example: |
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| ```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 |
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| The dataset is organized around doctrine families such as: |
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| - 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 |
|
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| ## Quality Characteristics |
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| - 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 |
|
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| ## Citation |
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| If you use this dataset, cite the dataset card and any downstream work built from it according to your project requirements. |
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