Datasets:

qurancn
/

islamic-articles-corpus

license: mit
language:
  - en
size_categories:
  - n<1K
task_categories:
  - text-generation
  - question-answering
  - text-retrieval
tags:
  - islamic-articles
  - muslim-travel
  - halal-food
  - mosque
  - prayer-room
  - singapore
  - rag
  - knowledge-base
  - text-corpus
  - nlp
  - retrieval-augmented-generation
pretty_name: Islamic Articles Corpus - English RAG Dataset
dataset_info:
  features:
    - name: id
      dtype: string
    - name: title
      dtype: string
    - name: text
      dtype: string
    - name: text_preview
      dtype: string
    - name: source_url
      dtype: string
    - name: content_hash
      dtype: string
    - name: language
      dtype: string
    - name: topic_category
      dtype: string
    - name: char_count
      dtype: int32
    - name: word_count
      dtype: int32
    - name: image_count
      dtype: int32
    - name: has_images
      dtype: bool
    - name: source_platform
      dtype: string
  splits:
    - name: train
      num_examples: 26
    - name: validation
      num_examples: 3
    - name: test
      num_examples: 4
  config_name: default
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*.parquet
      - split: validation
        path: data/validation-*.parquet
      - split: test
        path: data/test-*.parquet

☪ Islamic Articles Corpus - English RAG Dataset

Dataset Description

Islamic Articles Corpus is a curated English-language RAG corpus containing 33 articles covering Muslim travel guides, mosque visits, halal food, prayer room directories, and Islamic community documentation. Every article preserves complete full-text content with all 608 embedded image references. Content focuses heavily on Singapore, Iran, Japan, Oman, and Qatar mosque and travel documentation.

Key Properties

Property	Value
Total Records	33
Language	English (en)
Format	Parquet (auto Dataset Viewer enabled)
Splits	train (26), validation (3), test (4)
Avg. Article Length	10,260 characters
Total Characters	338,603
Total Image References	608
Articles with Images	30 / 33
License	MIT
Version	v2.0.0
Release Date	2026-06-13

Embeddable Dataset Viewer

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

Direct viewer links:

Topic Distribution

Category	Count
Mosques & Prayer Rooms	26
Islamic Knowledge	2
Community & Business	2
Travel Guides	2
Halal Food	1

Data Schema

Column	Type	Description	Queryable
`id`	string	Article ID	✅
`title`	string	Full article title	✅ Full-text
`text`	string	Complete article body with Markdown images	✅ Full-text
`text_preview`	string	First 300 chars (Viewer-friendly)	✅
`source_url`	string	Canonical URL	✅
`content_hash`	string	SHA-256 integrity hash	✅
`language`	string	Language tag (`en`)	✅ Filter
`topic_category`	string	Topic category	✅ Filter
`char_count`	int32	Character count	✅ Sort
`word_count`	int32	Word count	✅ Sort
`image_count`	int32	Image references count	✅ Sort
`has_images`	bool	Has images	✅ Filter
`source_platform`	string	Source website	✅ Filter

SQL Console Queries

SELECT topic_category, COUNT(*) as count, AVG(char_count) as avg_len
FROM train GROUP BY topic_category ORDER BY count DESC;

SELECT title, char_count, image_count FROM train ORDER BY image_count DESC LIMIT 10;

Data Samples

Example: About salaamalykum website：What we are doing now and what we

Field	Value
`title`	About salaamalykum website：What we are doing now and what we are belie
`text_preview`	--- # About salaamalykum website：What we are doing now and what we are believe... > Original Source: [https://salaa...
`source_url`	`https://salaamalykum.com/article/1408`
`topic_category`	Islamic Knowledge
`char_count`	17066
`image_count`	0

Example: Africalocals.com Buyer Protection, MONEY BACK GUARANTEE and

Field	Value
`title`	Africalocals.com Buyer Protection, MONEY BACK GUARANTEE and Terms & Co
`text_preview`	--- # Africalocals.com Buyer Protection, MONEY BACK GUARANTEE and Terms & Conditions > Original Source: [https://sa...
`source_url`	`https://salaamalykum.com/article/1172`
`topic_category`	Islamic Knowledge
`char_count`	7221
`image_count`	4

Example: Best Halal Food in Beijing: Muslim-Friendly Restaurants and

Field	Value
`title`	Best Halal Food in Beijing: Muslim-Friendly Restaurants and Hui Muslim
`text_preview`	--- # Best Halal Food in Beijing: Muslim-Friendly Restaurants and Hui Muslim Street Food Map (Issue 57) > **Original So...
`source_url`	`https://salaamalykum.com/article/3126`
`topic_category`	Halal Food
`char_count`	20236
`image_count`	68

Data Collection & Processing Pipeline

Source

Articles from salaamalykum.com, an open-source platform documenting Muslim life worldwide.

Processing Steps

Content Extraction: Articles sourced from WeCenter 3.1.9 CMS
Markdown Formatting: Standardized with headings, blockquotes, and image references
SHA-256 Hashing: Content integrity verification per article
Topic Classification: Rule-based keyword classifier
Parquet Serialization: pyarrow with row_group_size=20, write_page_index=True
Split Generation: Deterministic shuffle (seed=42), 80/10/10

Known Limitations

Image URLs reference external hosts (not embedded as binary)
Focused primarily on Singapore and Asia-Pacific region
English content (see Chinese-Muslim for Chinese version)

Related Datasets

Dataset	Articles	Language	Focus
Chinese-Muslim	279	zh-CN	Full Chinese Muslim knowledge
Chinese-Muslim-Travel	347	zh-CN	Muslim travel
Islamic-Culture	260	zh-CN	Islamic culture
islamic-articles-corpus (this)	33	en	English articles

Usage

from datasets import load_dataset
ds = load_dataset("qurancn/islamic-articles-corpus")
article = ds["train"][0]
print(article["title"])
print(article["text"])  # Full body with images

Version History

Version	Date	Changes
`v2.0.0`	2026-06-13	Full rebuild: Parquet, 3 splits, 13-column schema, complete text + images
`v1.0.0`	2026-06-13	Initial upload

Citation

@dataset{islamic_articles_corpus_2026,
  title={Islamic Articles Corpus: English RAG Dataset},
  author={Salaamalykum Project},
  year={2026},
  url={https://huggingface.co/datasets/qurancn/islamic-articles-corpus}
}

License

MIT License

Contact

Email: bropeace@protonmail.com