☪ Islamic-Culture: Chinese Islamic Knowledge Base & RAG Corpus

Dataset Description

Islamic-Culture is a curated Retrieval-Augmented Generation (RAG) corpus containing 260 native Chinese articles covering Islamic culture, heritage, architecture, halal food, and Muslim community life across China, Southeast Asia, the Middle East, and beyond.

Key Properties

Property	Value
Total Records	260
Language	Chinese (Simplified, zh-CN)
Format	Parquet (with auto Dataset Viewer)
Splits	train (208), validation (26), test (26)
Avg. Article Length	6419 characters
Total Characters	1,669,141
Articles with Images	260
License	MIT
Version	v1.0.0
Release Date	2026-06-13

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Embeddable Dataset Viewer

You can embed the dataset viewer in any webpage:

<iframe
  src="https://huggingface.co/datasets/qurancn/Islamic-Culture/embed/viewer/default/train"
  frameborder="0"
  width="100%"
  height="560px"
></iframe>

Direct viewer link: 🔍 Browse Dataset

Filter by topic: Islamic Architecture | Halal Food | Travel Guide

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Topic Distribution

Category	Count
Culture & Traditions	82
Muslim History	66
Travel Guide	46
Islamic Architecture	39
Halal Food	17
Religious Knowledge	10

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Data Schema

Column	Type	Description	Queryable
id	string	Article ID from source platform	✅
title	string	Original Chinese article title	✅ Full-text
text	string	Complete article body (Markdown)	✅ Full-text
text_preview	string	First 300 chars (Viewer-friendly)	✅
source_url	string	Canonical URL on salaamalykum.com	✅
content_hash	string	SHA-256 integrity hash	✅
language	string	BCP-47 language tag (zh-CN)	✅ Filter
topic_category	string	One of 6 categories	✅ Filter
char_count	int32	Character count of article body	✅ Sort
word_count	int32	Word count (Chinese segmented)	✅ Sort
has_images	bool	Whether article contains images	✅ Filter
source_platform	string	Source website identifier	✅ Filter

SQL Console Queries

You can run SQL directly in Data Studio:

-- Count articles by topic
SELECT topic_category, COUNT(*) as count
FROM train
GROUP BY topic_category
ORDER BY count DESC;

-- Find longest articles
SELECT title, char_count, source_url
FROM train
ORDER BY char_count DESC
LIMIT 10;

-- Search for mosque-related articles
SELECT title, text_preview, source_url
FROM train
WHERE title LIKE '%清真寺%';

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Data Samples

Example: 1550年的伊斯俩目世界之旅（第一篇）

Field	Value
id	1818
title	1550年的伊斯俩目世界之旅（第一篇）...
text_preview	网络转帖 摘要：这篇文章围绕“1550年的伊斯俩目世界之旅（第一篇）”展开，适合关注穆斯林生活、清真信息、伊斯兰文化和中文网络转帖内容的读者阅读。 1550年的伊斯俩目世界之旅（第一篇） 11月中旬我开始居家，...
source_url	https://salaamalykum.com/cn/article/1818
topic_category	Travel Guide
char_count	13987
has_images	True

Example: 1550年的伊斯俩目世界之旅（第三篇）——南亚

Field	Value
id	1815
title	1550年的伊斯俩目世界之旅（第三篇）——南亚...
text_preview	网络转帖 摘要：这篇文章围绕“1550年的伊斯俩目世界之旅（第三篇）——南亚”展开，适合关注穆斯林生活、清真信息、伊斯兰文化和中文网络转帖内容的读者阅读。 1550年的伊斯俩目世界之旅（第三篇）——南亚 在第一...
source_url	https://salaamalykum.com/cn/article/1815
topic_category	Travel Guide
char_count	10947
has_images	True

Example: 1550年的伊斯俩目世界之旅（第二篇）——蒙古帝国的遗产（上篇）

Field	Value
id	1816
title	1550年的伊斯俩目世界之旅（第二篇）——蒙古帝国的遗产（上篇）...
text_preview	网络转帖 摘要：这篇文章围绕“1550年的伊斯俩目世界之旅（第二篇）——蒙古帝国的遗产（上篇）”展开，适合关注穆斯林生活、清真信息、伊斯兰文化和中文网络转帖内容的读者阅读。 **1550年的伊斯俩目世界之旅（第二篇）——...
source_url	https://salaamalykum.com/cn/article/1816
topic_category	Travel Guide
char_count	14799
has_images	True

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Data Collection & Processing Pipeline

Source

All articles originate from salaamalykum.com, a community-driven platform documenting Chinese Muslim life and Islamic culture.

Extraction Method

Articles were extracted directly from the source platform's MySQL database (aws_article table, topic_id=745), ensuring complete content retrieval without web-scraping artifacts or pagination bugs.

Processing Steps

1. SQL Parsing: Custom state-machine parser reads MySQL dump, extracts tuples from INSERT INTO statements
2. Topic Mapping: aws_topic_relation table maps articles to topic ID 745 (伊斯兰文化)
3. BBCode Conversion: [img]...[/img] → ![image](...), [b]...[/b] → **...**
4. HTML Cleanup: html.unescape() + <br> normalization
5. Integrity Hashing: SHA-256 computed on cleaned body text
6. Category Classification: Rule-based keyword classifier assigns one of 6 topic categories
7. Parquet Serialization: pyarrow with row_group_size=50, write_page_index=True for optimal Viewer performance

Known Limitations

• No machine translation: All text is native Chinese — this is intentional and a core feature
• Image links: Articles reference external image URLs (archive.org hosted); images are not embedded in the dataset
• Author attribution: Individual author names are not preserved (WeCenter platform limitation); all attributed to "Salaamalykum User"
• Temporal coverage: Articles span approximately 2024–2026

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Usage

Python (Hugging Face Datasets)

from datasets import load_dataset

ds = load_dataset("qurancn/Islamic-Culture")
print(ds)
# DatasetDict({
#     train: Dataset({features: [...], num_rows: 208})
#     validation: Dataset({features: [...], num_rows: 26})
#     test: Dataset({features: [...], num_rows: 26})
# })

# Filter by topic
mosques = ds["train"].filter(lambda x: x["topic_category"] == "Islamic Architecture")

LangChain RAG

from langchain.vectorstores import FAISS
from langchain.embeddings import HuggingFaceEmbeddings
from datasets import load_dataset

ds = load_dataset("qurancn/Islamic-Culture", split="train")
texts = [f"{row['title']}\n{row['text']}" for row in ds]

embeddings = HuggingFaceEmbeddings(model_name="shibing624/text2vec-base-chinese")
vectorstore = FAISS.from_texts(texts, embeddings)

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Version History

Version	Date	Changes
v1.0.0	2026-06-13	Initial release: 260 articles, Parquet format, 3 splits

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Citation

@dataset{islamic_culture_2026,
  title={Islamic-Culture: A Curated Chinese RAG Dataset of 260 Articles on Islamic Culture},
  author={Salaamalykum Project},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/qurancn/Islamic-Culture}
}

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License

This dataset is released under the MIT License.

Contact

• Email: bropeace@protonmail.com
• GitHub: https://github.com/salaamalykum
• Website: https://salaamalykum.com