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wayneworkman2012/ww2-synthetic-corpus

published by @wayneworkman2012

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
778
Last 30 days
23
Likes
2
Size
9.0 GB
Created on HF
2026-06-19
Age
4 months ago

Description

WWII Synthetic LLM Training Corpus

A large synthetic dataset of conversational training examples about World War II, generated by a custom synthetic-data pipeline. The knowledge originates in curated Wikipedia articles; large language models were used only as transformation tools to reformat that source knowledge into diverse training patterns — they are not the source of the facts.

Total examples: 16,397,795

Subsets (configs): 92

Format: ChatML-style messages (role/content)… See the full description on the dataset page: https://huggingface.co/datasets/wayneworkman2012/ww2-synthetic-corpus.

Tags

task_categories:text-generationtask_categories:question-answeringsource_datasets:originalsource_datasets:Anthropic/hh-rlhflanguage:enlicense:apache-2.0size_categories:10M<n<100Mformat:parquetmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantarxiv:2204.05862arxiv:2209.07858region:ussyntheticww2wwiiworld-war-iiworld-war-twosecond-world-warhistorymilitary-historyhistoricalwikipediaquestion-answeringconversationalchatchatbotassistantchatmlinstructionsftclosed-bookverificationtemporalsafetyrefusalsenglish

Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

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  1. 2026-09-11[bot] Conversion to Parquetopen1 💬#2
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Metadata

License
apache-2.0

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("wayneworkman2012/ww2-synthetic-corpus")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="wayneworkman2012/ww2-synthetic-corpus", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/wayneworkman2012/ww2-synthetic-corpus
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