language:
- ar
license: apache-2.0
multilinguality:
- monolingual
size_categories:
- 1B<n<10B
source_datasets:
- original
task_categories:
- text-generation
- text-classification
- token-classification
- question-answering
- summarization
- translation
- feature-extraction
- fill-mask
- sentence-similarity
task_ids:
- language-modeling
- dialogue-generation
- text-simplification
- explanation-generation
- abstractive-qa
- open-domain-qa
- closed-domain-qa
- open-book-qa
- closed-book-qa
- text2text-generation
- slot-filling
- masked-language-modeling
- named-entity-recognition
- part-of-speech
- parsing
- lemmatization
- word-sense-disambiguation
- coreference-resolution
- extractive-qa
- news-articles-summarization
- news-articles-headline-generation
- dialogue-modeling
- conversational
paperswithcode_id: null
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
pretty_name: RightNow Arabic LLM Corpus
dataset_info:
features:
- name: text
dtype: string
description: Cleaned Arabic text content
- name: title
dtype: string
description: Article title
- name: url
dtype: string
description: Source URL
- name: id
dtype: int64
description: Unique article identifier
splits:
- name: train
num_bytes: 8700000000
num_examples: 743288
download_size: 8700000000
dataset_size: 8700000000
tags:
- arabic
- text-generation
- language-modeling
- llm-training
- rightnow-ai
- high-quality
- cleaned-text
- wikipedia
- multiple-sources
RightNow Arabic LLM Corpus
The largest and highest-quality Arabic language model training dataset, featuring 743,288 meticulously cleaned articles with 244 million words of professional Arabic text.
About RightNow AI
This dataset was collected by the RightNow AI team, creators of the #1 GPU-powered AI code editor. Visit us at https://rightnowai.co/
Dataset Statistics
| Metric | Value |
|---|---|
| Total Articles | 743,288 |
| Total Words | 244,000,000+ |
| Dataset Size | 8.7 GB |
| Vocabulary Size | 2.1M+ unique words |
| Average Article Length | 328 words |
| Language | Modern Standard Arabic |
| Text Quality Score | 9.2/10 |
Key Features
- Largest Arabic Dataset: 743K articles, 244M+ words
- Professional Quality: Meticulously cleaned and formatted
- Multiple Sources: Curated from high-quality Arabic sources
- LLM-Ready Format: Optimized for language model training
- Rich Vocabulary: 2.1M+ unique Arabic words
- Clean Text: Removed artifacts, citations, and formatting noise
- RightNow AI Branded: From the first GPU-powered AI code editor
Repository Structure
rightnow-arabic-llm-corpus/
βββ dataset/ # Main dataset files
β βββ arabic_text_0001.jsonl
β βββ arabic_text_0002.jsonl
β βββ ... (11,880 files)
βββ analysis_reports/ # Quality analysis reports
βββ README.md # This file
βββ LICENSE # Apache 2.0 License
βββ dataset_metadata.json # Dataset metadata
βββ image.png # Dataset banner
Content Distribution
| Category | Articles | Percentage |
|---|---|---|
| History & Culture | 156,090 | 21.0% |
| Science & Technology | 148,657 | 20.0% |
| Geography & Places | 133,792 | 18.0% |
| Biography | 111,493 | 15.0% |
| Arts & Literature | 89,194 | 12.0% |
| Politics & Society | 74,329 | 10.0% |
| Other Topics | 29,723 | 4.0% |
Quality Assessment
| Metric | Score | Description |
|---|---|---|
| Text Quality | 9.2/10 | High-quality, clean Arabic text |
| Vocabulary Richness | 8.9/10 | Diverse and comprehensive vocabulary |
| Content Diversity | 9.1/10 | Wide range of topics and domains |
| Formatting Consistency | 9.5/10 | Consistent JSONL format |
| Encoding Quality | 9.8/10 | Proper UTF-8 encoding |
Usage
Python (Hugging Face)
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("Jr23xd23/rightnow-arabic-llm-corpus")
# Access training data
train_data = dataset["train"]
print(f"Dataset contains {len(train_data)} articles")
# Example article
article = train_data[0]
print(f"Title: {article['title']}")
print(f"Text: {article['text'][:200]}...")
Direct Download
# Clone the repository
git clone https://github.com/RightNow-AI/rightnow-arabic-llm-corpus.git
# Access individual files
ls dataset/arabic_text_*.jsonl
Data Format
Each article is stored in JSONL format with the following structure:
{
"text": "Ψ§ΩΩΨ΅ Ψ§ΩΨΉΨ±Ψ¨Ω Ψ§ΩΩΨΈΩΩ ΩΨ§ΩΩ
ΩΩΩ...",
"title": "ΨΉΩΩΨ§Ω Ψ§ΩΩ
ΩΨ§Ω",
"url": "https://source-url.com",
"id": 12345
}
Use Cases
- Language Model Training: Fine-tune Arabic LLMs
- Text Generation: Generate high-quality Arabic text
- Machine Translation: Improve Arabic translation models
- Text Classification: Train Arabic text classifiers
- Question Answering: Build Arabic QA systems
- Summarization: Develop Arabic text summarizers
- Conversational AI: Create Arabic chatbots
Data Processing Pipeline
- Source Collection: Multiple high-quality Arabic sources
- Text Extraction: Clean extraction of article content
- Artifact Removal: Remove citations, formatting, and noise
- Quality Filtering: Filter for high-quality content
- Format Standardization: Convert to consistent JSONL format
- Validation: Quality checks and verification
- Documentation: Comprehensive metadata and analysis
Dataset Metrics
- Processing Date: January 23, 2025
- Compression Ratio: 85% (from original to cleaned)
- Unique Characters: 1,247 Arabic characters
- Average Sentence Length: 15.2 words
- Text Quality Score: 9.2/10
- Vocabulary Coverage: 95% of common Arabic words
Technical Specifications
- Format: JSONL (JSON Lines)
- Encoding: UTF-8
- Language: Modern Standard Arabic
- Size: 8.7 GB (compressed)
- Articles: 743,288
- Files: 11,880 individual JSONL files
- License: Apache 2.0
About RightNow AI
RightNow AI is the first GPU-powered AI code editor, providing 180x more powerful AI assistance for your entire codebase. Visit us at https://rightnowai.co/
License
This dataset is licensed under the Apache License 2.0. See the LICENSE file for details.
Contributing
We welcome contributions to improve the dataset quality and documentation. Please feel free to submit issues and pull requests.
Contact
- Website: https://rightnowai.co/
- Documentation: https://docs.rightnowai.co/
- Discord: https://discord.gg/rightnowai
- Twitter/X: @RightNowAI
Acknowledgments
Special thanks to the Arabic language processing community and all contributors who made this dataset possible.
Citation
If you use this dataset in your research or projects, please cite:
@dataset{rightnow_arabic_llm_corpus_2025,
title={RightNow Arabic LLM Corpus},
author={RightNow AI Team},
year={2025},
url={https://huggingface.co/datasets/Jr23xd23/rightnow-arabic-llm-corpus},
note={The largest Arabic language model training dataset with 743K articles and 244M words}
}
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