README.md

![RightNow Arabic LLM Corpus](image.png)

# RightNow Arabic LLM Corpus

**One of the largest high-quality Arabic text datasets for Large Language Model training and fine-tuning**

[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Arabic](https://img.shields.io/badge/Language-Arabic-green.svg)](https://en.wikipedia.org/wiki/Arabic_language)
[![Size](https://img.shields.io/badge/Size-8.7GB-blue.svg)](#dataset-statistics)
[![Articles](https://img.shields.io/badge/Articles-743K-red.svg)](#dataset-statistics)
[![GitHub](https://img.shields.io/badge/GitHub-Repository-black.svg)](https://github.com/RightNow-AI/rightnow-arabic-llm-corpus)
[![Hugging Face](https://img.shields.io/badge/Hugging%20Face-Dataset-orange.svg)](https://huggingface.co/datasets/Jr23xd23/rightnow-arabic-llm-corpus)

---

## Overview

This repository contains a comprehensive Arabic text dataset specifically curated for training and fine-tuning Large Language Models (LLMs). The dataset represents one of the largest collections of high-quality Arabic text available for machine learning research and commercial applications.

**Collected by [RightNow AI](https://rightnowai.co/) team** - RightNow AI is the first GPU-powered AI code editor, providing 180x more powerful AI assistance for your entire codebase.

## Dataset Statistics

| Metric | Value |
|--------|--------|
| **Total Articles** | 743,288 |
| **Total Words** | 244,153,780 |
| **Total Sentences** | 12,392,064 |
| **Unique Words** | 1,529,064 |
| **Vocabulary Richness** | 0.0063 |
| **Average Words/Article** | 328.5 |
| **Average Sentences/Article** | 16.7 |
| **Average Words/Sentence** | 19.7 |
| **High Quality Articles** | 185,351 (≥70% quality score) |
| **Dataset Size** | 8.7GB (JSONL) |

## Key Features

- **Unprecedented Scale**: 744K articles with 244M words - one of the largest Arabic datasets available
- **Production-Ready Quality**: Advanced cleaning pipeline removes artifacts, references, and templates
- **LLM-Optimized Format**: JSONL structure designed specifically for modern language model training
- **Comprehensive Coverage**: Diverse content spanning history, science, literature, politics, and more
- **Linguistic Excellence**: UTF-8 encoded with proper Arabic text normalization and validation
- **Rich Metadata**: Complete article information including titles, URLs, and processing timestamps

## Repository Structure

```

├── README.md                           # This file

├── arabic_wikipedia_cleaned.jsonl      # Main dataset (8.7GB)

├── arabic_wikipedia_cleaned.txt        # Human-readable format (8.5GB)

├── dataset_metadata.json               # Dataset metadata

├── dataset/                            # Individual cleaned files

│   ├── arabic_text_*.jsonl              # 11,880 individual files

│   └── ...

└── analysis_reports/                   # Comprehensive analysis

    ├── dataset_analysis_*.json         # Detailed JSON analysis

    ├── dataset_report_*.txt            # Human-readable report

    ├── dataset_summary_*.csv           # Summary statistics

    └── dataset_documentation_*.md      # Markdown documentation

```

## Content Distribution

| Topic | Articles | Percentage |
|-------|----------|------------|
| General | 316,527 | 42.6% |
| History | 228,884 | 30.8% |
| Geography | 170,062 | 22.9% |
| Science | 118,536 | 15.9% |
| Religion | 104,378 | 14.0% |
| Politics | 87,366 | 11.8% |
| Arts | 78,915 | 10.6% |
| Literature | 76,566 | 10.3% |
| Sports | 71,171 | 9.6% |

## Quality Assessment

| Quality Level | Articles | Percentage |
|---------------|----------|------------|
| **Excellent** (≥80%) | 130,373 | 17.5% |
| **Good** (60-80%) | 306,526 | 41.2% |
| **Fair** (40-60%) | 117,976 | 15.9% |
| **Filtered Out** (<40%) | 188,413 | 25.3% |

**Average Quality Score: 58.3%**

## Usage

### Loading the Dataset

**Available on [Hugging Face Hub](https://huggingface.co/datasets/Jr23xd23/rightnow-arabic-llm-corpus)**

**Python (Recommended)**
```python

import json



# Load the main dataset

articles = []

with open('arabic_wikipedia_cleaned.jsonl', 'r', encoding='utf-8') as f:

    for line in f:

        article = json.loads(line)

        articles.append(article)



print(f"Loaded {len(articles)} articles")

```

**Hugging Face Datasets**
```python

from datasets import load_dataset



# Load from Hugging Face Hub

dataset = load_dataset('Jr23xd23/rightnow-arabic-llm-corpus')



# Or load from local files

dataset = load_dataset('json', data_files='arabic_wikipedia_cleaned.jsonl')

```

### Data Format

Each line in the JSONL file contains:
```json

{

  "id": "unique_article_id",

  "title": "Article Title",

  "text": "Clean Arabic text content...",

  "url": "source_url",

  "hash": "content_hash",

  "metadata": {

    "language": "ar",

    "source": "Multiple Sources",

    "cleaned": true,

    "processing_date": "2025-01-23T01:00:00"

  }

}

```

## Use Cases

This dataset is perfect for:

- **Arabic LLM Training**: GPT, BERT, T5, LLaMA models
- **Fine-tuning**: Domain-specific Arabic models  
- **Text Generation**: Content generation systems
- **NLP Research**: Arabic language processing research
- **Language Modeling**: Statistical language models
- **Transfer Learning**: Pre-trained model adaptation

## Data Processing Pipeline

Our comprehensive processing pipeline ensures high-quality data:

1. **Source Collection**: Aggregated from multiple high-quality Arabic sources
2. **Content Cleaning**: Removed artifacts, references, templates
3. **Quality Filtering**: Applied strict quality criteria (≥70% Arabic content)
4. **Length Filtering**: Removed very short or overly long content
5. **Deduplication**: Eliminated duplicate and near-duplicate content
6. **Validation**: Comprehensive format and encoding validation
7. **Analysis**: Detailed statistical analysis and quality assessment

## Dataset Metrics

### Length Distribution
- **Article Length**: 7 - 20,757 words (median: 106)
- **Sentence Length**: 1 - 3,131 words (average: 21)
- **Word Length**: 2 - 137 characters (average: 4.9)

### Language Quality
- **Arabic Content**: ≥70% Arabic characters per article
- **Encoding**: UTF-8 with proper Arabic support
- **Text Quality**: Professional cleaning and normalization

## Technical Specifications

- **Format**: JSONL (JSON Lines)
- **Encoding**: UTF-8
- **Language**: Arabic (ar)
- **Size**: 8.7GB compressed
- **Articles**: 743,288 unique articles
- **Vocabulary**: 1.5M unique words
- **Processing Date**: January 2025

## License

This dataset is released under the **Apache License 2.0**. See the [LICENSE](LICENSE) file for the full license text.

## Contributing

We welcome contributions to improve the dataset quality and coverage:

1. **Quality Issues**: Report data quality problems
2. **Enhancement Suggestions**: Propose improvements
3. **Additional Sources**: Suggest new high-quality Arabic sources
4. **Processing Improvements**: Contribute to cleaning algorithms

## Contact

**RightNow AI** - The first GPU-powered AI code editor, providing 180x more powerful AI assistance

- Website: [https://rightnowai.co/](https://rightnowai.co/)
- Documentation: [https://docs.rightnowai.co/](https://docs.rightnowai.co/)
- Discord: [Join our community](https://discord.com/invite/sSJqgNnq6X)
- Twitter/X: [@rightnowai_co](https://twitter.com/rightnowai_co)
- Issues: [GitHub Issues](https://github.com/RightNow-AI/rightnow-arabic-llm-corpus/issues)

## Acknowledgments

This corpus was collected through the collaborative efforts of:

- **[RightNow AI](https://rightnowai.co/)** - The first GPU-powered AI code editor, providing 180x more powerful AI assistance for your entire codebase

Special thanks to:
- The Arabic language community for content creation
- Open source contributors for processing tools
- The machine learning community for feedback and validation
- RightNow AI for their dedication to advancing Arabic NLP research

## Citation

If you use this dataset in your research, please cite:

```bibtex

@dataset{rightnow_arabic_llm_corpus_2025,

  title={RightNow Arabic LLM Corpus},

  author={RightNow AI team},

  year={2025},

  publisher={GitHub},

  url={https://github.com/RightNow-AI/rightnow-arabic-llm-corpus},

  note={One of the largest high-quality Arabic text datasets for LLM training}

}

```

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**If this dataset helps your research or project, please star this repository!**

*Built for the Arabic AI community by [RightNow AI](https://rightnowai.co/)*