|
Download README.md from guicybercode/china-brazil-history-corpus: direct link, hf CLI and curl.
- Browser
- Download file 1.93 kB
-
https://huggingface.co/datasets/guicybercode/china-brazil-history-corpus/resolve/main/README.md
- Command line
-
hf download hf://datasets/guicybercode/china-brazil-history-corpus/README.md
-
curl -L -o README.md https://huggingface.co/datasets/guicybercode/china-brazil-history-corpus/resolve/main/README.md
1.93 kB
metadata
language:
- pt
- en
- zh
license: apache-2.0
tags:
- history
- china
- brazil
- small-llm
- pretraining
- fine-tuning
- edge-ai
size_categories:
- n<1K
China-Brazil History Corpus
A curated text corpus for training and fine-tuning small language models on Chinese and Brazilian history.
What's inside
- 15 entries (MVP version, expanding to 5,000)
- Categories: Dynasties, colonization, immigration, revolutions, contemporary history, philosophy, inventions
- Regions: China, Brazil, both
- Types: Narratives, timelines, biographies, event analyses, QA pairs
- Languages: Portuguese (60%), English (30%), Chinese (10%)
Topics covered
| China | Brazil |
|---|---|
| Xia, Shang, Zhou, Qin, Han dynasties | Pre-Cabraline period & indigenous peoples |
| Three Kingdoms, Tang, Song, Yuan | Portuguese colonization (1500-1822) |
| Ming, Qing dynasties | Empire & First Republic |
| Xinhai Revolution, Republic | Vargas Era, Military Dictatorship |
| Mao era, Cultural Revolution | New Republic (1985-present) |
| Contemporary China (1978-present) | Economic & social history |
| Philosophy (Confucianism, Taoism, Buddhism) | Social movements |
| Inventions & discoveries | Sino-Brazilian relations |
Use cases
- Continual pre-training of small LLMs (≤1B params)
- Fine-tuning for history QA and summarization
- Edge deployment on Mac M4 / 16GB RAM
Format
JSONL with metadata fields:
text: Historical contentcategory: Thematic categoryregion: china | brazil | bothperiod: Historical period or yearsource_type: narrative | timeline | biography | event_analysis | qa_pair | comparison
Citation
If you use this dataset, please cite:
@dataset{guicybercode_china_brazil_history,
author = {Guilherme Monteiro},
title = {China-Brazil History Corpus},
year = {2026},
publisher = {Hugging Face}
}
License
Apache 2.0