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feat: Production rebuild 33 articles, Parquet, 3 splits (v2.0.0)

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README.md CHANGED
@@ -1,61 +1,258 @@
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  ---
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- license: cc0-1.0
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  language:
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- - zh
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  size_categories:
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  - n<1K
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  task_categories:
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  - text-generation
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- - feature-extraction
 
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  tags:
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- - islam
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- - travel
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- - mosques
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- - halal
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- - raw-corpus
 
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  - rag
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- pretty_name: Salaamalykum Islamic Articles
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  configs:
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- - config_name: corpus
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  data_files:
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  - split: train
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- path: data/corpus.parquet
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- - config_name: rag_chunks
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- data_files:
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- - split: train
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- path: data/rag_chunks.parquet
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  ---
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- # Salaamalykum Islamic Articles Corpus (Parquet)
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- This is a highly structured, machine-readable dataset comprising 34 original articles curated from [salaamalykum.com](https://salaamalykum.com).
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- It has been natively formatted in **Parquet** to support efficient SQL querying in the Hugging Face Dataset Viewer and Data Studio.
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- ## Strict Metadata Adherence
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- - **Dataset Hygiene**: Contains ONLY informational articles. No fake `ShareGPT` or `Alpaca` tags are used.
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- - **Data Provenance**: All articles are authored by Hasan09, tracking Muslim travel guides, mosque histories, and cross-sectarian observations.
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- ## Views (Splits)
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- This repository exposes two subsets via Parquet formatting to prevent `TooBigContentError` and enable scalable RAG architectures:
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- ### 1. `corpus` (Full Articles)
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- Designed for LLM pre-training and long-context analysis.
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- - `id`: Unique article identifier.
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- - `title`: Article title.
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- - `url`: Canonical URL.
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- - `word_count`: Length of the text for easy filtering in SQL.
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- - `tags`: Comma-separated categories.
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- - `preview`: Lightweight summary for UI viewers.
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- - `content`: The complete Markdown text.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ### 2. `rag_chunks` (Retrieval-Augmented Generation)
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- Designed for Embedding models, Semantic Search, and Atlas visualizations.
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- - `chunk_id`: Unique chunk identifier.
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- - `text`: Specific paragraph.
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- - `chunk_index`: Position of the paragraph in the original text.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ## Usage (SQL Console)
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- You can directly query this dataset via the Hugging Face SQL Console:
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  ```sql
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- SELECT title, url FROM "corpus" WHERE word_count > 1000
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
 
 
 
 
 
 
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  ---
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+ license: mit
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  language:
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+ - en
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  size_categories:
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  - n<1K
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  task_categories:
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  - text-generation
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+ - question-answering
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+ - text-retrieval
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  tags:
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+ - islamic-articles
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+ - muslim-travel
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+ - halal-food
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+ - mosque
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+ - prayer-room
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+ - singapore
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  - rag
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+ - knowledge-base
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+ - text-corpus
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+ - nlp
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+ - retrieval-augmented-generation
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+ pretty_name: "Islamic Articles Corpus - English RAG Dataset"
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+ dataset_info:
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: title
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+ dtype: string
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+ - name: text
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+ dtype: string
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+ - name: text_preview
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+ dtype: string
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+ - name: source_url
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+ dtype: string
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+ - name: content_hash
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+ dtype: string
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+ - name: language
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+ dtype: string
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+ - name: topic_category
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+ dtype: string
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+ - name: char_count
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+ dtype: int32
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+ - name: word_count
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+ dtype: int32
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+ - name: image_count
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+ dtype: int32
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+ - name: has_images
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+ dtype: bool
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+ - name: source_platform
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+ dtype: string
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+ splits:
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+ - name: train
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+ num_examples: 26
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+ - name: validation
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+ num_examples: 3
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+ - name: test
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+ num_examples: 4
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+ config_name: default
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  configs:
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+ - config_name: default
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  data_files:
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  - split: train
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+ path: data/train-*.parquet
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+ - split: validation
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+ path: data/validation-*.parquet
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+ - split: test
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+ path: data/test-*.parquet
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  ---
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+ # Islamic Articles Corpus - English RAG Dataset
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+ [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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+ [![GitHub](https://img.shields.io/badge/GitHub-salaamalykum-black)](https://github.com/salaamalykum)
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+ ## Dataset Description
 
 
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+ **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.
 
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+ ### Key Properties
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+ | Property | Value |
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+ |---|---|
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+ | **Total Records** | 33 |
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+ | **Language** | English (en) |
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+ | **Format** | Parquet (auto Dataset Viewer enabled) |
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+ | **Splits** | train (26), validation (3), test (4) |
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+ | **Avg. Article Length** | 10,260 characters |
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+ | **Total Characters** | 338,603 |
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+ | **Total Image References** | 608 |
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+ | **Articles with Images** | 30 / 33 |
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+ | **License** | MIT |
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+ | **Version** | v2.0.0 |
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+ | **Release Date** | 2026-06-13 |
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+
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+ ---
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+
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+ ## Embeddable Dataset Viewer
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+
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+ ```html
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+ <iframe
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+ src="https://huggingface.co/datasets/qurancn/islamic-articles-corpus/embed/viewer/default/train"
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+ frameborder="0"
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+ width="100%"
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+ height="560px"
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+ ></iframe>
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+ ```
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+ **Direct viewer links:**
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+ - [🔍 Browse All](https://huggingface.co/datasets/qurancn/islamic-articles-corpus/viewer/default/train)
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+ - [🕌 Mosques](https://huggingface.co/datasets/qurancn/islamic-articles-corpus/viewer/default/train?q=Mosque)
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+ - [✈️ Travel](https://huggingface.co/datasets/qurancn/islamic-articles-corpus/viewer/default/train?q=Travel)
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+
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+ ---
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+
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+ ## Topic Distribution
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+
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+ | Category | Count |
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+ |---|---|
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+ | Mosques & Prayer Rooms | 26 |
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+ | Islamic Knowledge | 2 |
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+ | Community & Business | 2 |
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+ | Travel Guides | 2 |
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+ | Halal Food | 1 |
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+
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+
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+ ---
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+
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+ ## Data Schema
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+
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+ | Column | Type | Description | Queryable |
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+ |---|---|---|---|
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+ | `id` | string | Article ID | ✅ |
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+ | `title` | string | Full article title | ✅ Full-text |
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+ | `text` | string | **Complete article body** with Markdown images | ✅ Full-text |
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+ | `text_preview` | string | First 300 chars (Viewer-friendly) | ✅ |
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+ | `source_url` | string | Canonical URL | ✅ |
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+ | `content_hash` | string | SHA-256 integrity hash | ✅ |
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+ | `language` | string | Language tag (`en`) | ✅ Filter |
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+ | `topic_category` | string | Topic category | ✅ Filter |
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+ | `char_count` | int32 | Character count | ✅ Sort |
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+ | `word_count` | int32 | Word count | ✅ Sort |
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+ | `image_count` | int32 | Image references count | ✅ Sort |
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+ | `has_images` | bool | Has images | ✅ Filter |
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+ | `source_platform` | string | Source website | ✅ Filter |
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+
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+ ### SQL Console Queries
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  ```sql
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+ SELECT topic_category, COUNT(*) as count, AVG(char_count) as avg_len
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+ FROM train GROUP BY topic_category ORDER BY count DESC;
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+
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+ SELECT title, char_count, image_count FROM train ORDER BY image_count DESC LIMIT 10;
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+ ```
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+
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+ ---
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+
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+ ## Data Samples
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+
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+
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+ #### Example: About salaamalykum website:What we are doing now and what we
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+ | Field | Value |
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+ |---|---|
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+ | `title` | About salaamalykum website:What we are doing now and what we are belie |
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+ | `text_preview` | --- # About salaamalykum website:What we are doing now and what we are believe... > **Original Source**: [https://salaa... |
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+ | `source_url` | `https://salaamalykum.com/article/1408` |
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+ | `topic_category` | Islamic Knowledge |
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+ | `char_count` | 17066 |
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+ | `image_count` | 0 |
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+
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+ #### Example: Africalocals.com Buyer Protection, MONEY BACK GUARANTEE and
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+ | Field | Value |
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+ |---|---|
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+ | `title` | Africalocals.com Buyer Protection, MONEY BACK GUARANTEE and Terms & Co |
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+ | `text_preview` | --- # Africalocals.com Buyer Protection, MONEY BACK GUARANTEE and Terms & Conditions > **Original Source**: [https://sa... |
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+ | `source_url` | `https://salaamalykum.com/article/1172` |
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+ | `topic_category` | Islamic Knowledge |
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+ | `char_count` | 7221 |
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+ | `image_count` | 4 |
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+
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+ #### Example: Best Halal Food in Beijing: Muslim-Friendly Restaurants and
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+ | Field | Value |
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+ |---|---|
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+ | `title` | Best Halal Food in Beijing: Muslim-Friendly Restaurants and Hui Muslim |
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+ | `text_preview` | --- # Best Halal Food in Beijing: Muslim-Friendly Restaurants and Hui Muslim Street Food Map (Issue 57) > **Original So... |
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+ | `source_url` | `https://salaamalykum.com/article/3126` |
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+ | `topic_category` | Halal Food |
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+ | `char_count` | 20236 |
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+ | `image_count` | 68 |
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+
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+
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+ ---
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+
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+ ## Data Collection & Processing Pipeline
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+
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+ ### Source
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+ Articles from [salaamalykum.com](https://salaamalykum.com), an open-source platform documenting Muslim life worldwide.
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+
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+ ### Processing Steps
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+ 1. **Content Extraction**: Articles sourced from WeCenter 3.1.9 CMS
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+ 2. **Markdown Formatting**: Standardized with headings, blockquotes, and image references
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+ 3. **SHA-256 Hashing**: Content integrity verification per article
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+ 4. **Topic Classification**: Rule-based keyword classifier
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+ 5. **Parquet Serialization**: `pyarrow` with `row_group_size=20`, `write_page_index=True`
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+ 6. **Split Generation**: Deterministic shuffle (seed=42), 80/10/10
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+
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+ ### Known Limitations
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+ - Image URLs reference external hosts (not embedded as binary)
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+ - Focused primarily on Singapore and Asia-Pacific region
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+ - English content (see [Chinese-Muslim](https://huggingface.co/datasets/qurancn/Chinese-Muslim) for Chinese version)
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+
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+ ---
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+
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+ ## Related Datasets
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+
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+ | Dataset | Articles | Language | Focus |
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+ |---|---|---|---|
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+ | [Chinese-Muslim](https://huggingface.co/datasets/qurancn/Chinese-Muslim) | 279 | zh-CN | Full Chinese Muslim knowledge |
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+ | [Chinese-Muslim-Travel](https://huggingface.co/datasets/qurancn/Chinese-Muslim-Travel) | 347 | zh-CN | Muslim travel |
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+ | [Islamic-Culture](https://huggingface.co/datasets/qurancn/Islamic-Culture) | 260 | zh-CN | Islamic culture |
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+ | **[islamic-articles-corpus](https://huggingface.co/datasets/qurancn/islamic-articles-corpus)** (this) | 33 | en | English articles |
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+
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+ ---
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+ ds = load_dataset("qurancn/islamic-articles-corpus")
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+ article = ds["train"][0]
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+ print(article["title"])
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+ print(article["text"]) # Full body with images
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+ ```
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+
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+ ---
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+
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+ ## Version History
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+
238
+ | Version | Date | Changes |
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+ |---|---|---|
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+ | `v2.0.0` | 2026-06-13 | Full rebuild: Parquet, 3 splits, 13-column schema, complete text + images |
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+ | `v1.0.0` | 2026-06-13 | Initial upload |
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+
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+ ## Citation
244
+
245
+ ```bibtex
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+ @dataset{islamic_articles_corpus_2026,
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+ title={Islamic Articles Corpus: English RAG Dataset},
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+ author={Salaamalykum Project},
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+ year={2026},
250
+ url={https://huggingface.co/datasets/qurancn/islamic-articles-corpus}
251
+ }
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  ```
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+
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+ ## License
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+ [MIT License](https://opensource.org/licenses/MIT)
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+
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+ ## Contact
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+ - Email: [bropeace@protonmail.com](mailto:bropeace@protonmail.com)
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