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README.md

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+![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)
+
 ---
-license: apache-2.0
+
+## 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}
+}
+```
+
 ---
+
+**If this dataset helps your research or project, please star this repository!**
+
+*Built for the Arabic AI community by [RightNow AI](https://rightnowai.co/)*