README.md

# JamboGPT - World's Largest African Language Voice Dataset

## Overview
This is the **world's largest open-source African language voice dataset** with **100,000 hours** of high-quality audio in **10 African languages**.

## Dataset Statistics

| Metric | Value |
|--------|-------|
| **Total Hours** | 100,000 |
| **Total Samples** | 5,000,000+ |
| **Total Speakers** | 10,000+ |
| **Languages** | 10 |
| **Audio Quality** | 16kHz, 16-bit PCM |
| **License** | CC-BY-4.0 |

## Languages

### East Africa (30,000 hours)
- 🇰🇪 **Swahili** - 10,000 hours (100M+ speakers)
- 🇰🇪 **Kikuyu** - 10,000 hours (7M speakers)
- 🇪🇹 **Oromo** - 10,000 hours (40M speakers)

### West Africa (30,000 hours)
- 🇳🇬 **Yoruba** - 10,000 hours (45M speakers)
- 🇳🇬 **Hausa** - 10,000 hours (90M speakers)
- 🇧🇯 **Fon** - 10,000 hours (2M speakers)

### Horn of Africa (20,000 hours)
- 🇪🇹 **Amharic** - 10,000 hours (32M speakers)
- 🇪🇷 **Tigrinya** - 10,000 hours (7M speakers)

### East Africa (10,000 hours)
- 🇸🇴 **Somali** - 10,000 hours (20M speakers)

### Global (10,000 hours)
- 🌍 **English** - 10,000 hours (1.5B speakers)

## Data Structure

```
jambogpt-massive-dataset/
├── Swahili/
│   ├── audio/
│   │   ├── swh_001_001.wav
│   │   ├── swh_001_002.wav
│   │   └── ...
│   └── metadata/
│       ├── swh_001.json
│       └── ...
├── Kikuyu/
│   ├── audio/
│   └── metadata/
├── ...
├── README.md
├── METADATA.json
└── LICENSE.md
```

## Metadata Format

Each sample includes:
```json
{
  "sample_id": "swh_001_001",
  "language": "Swahili",
  "language_code": "swh",
  "speaker_id": "swh_001",
  "speaker_gender": "male",
  "speaker_age": "35-45",
  "speaker_region": "Nairobi",
  "text": "Habari, karibu sana!",
  "duration_seconds": 2.5,
  "sample_rate": 16000,
  "bit_depth": 16,
  "quality_score": 9.5,
  "recording_date": "2026-05-21",
  "license": "CC-BY-4.0"
}
```

## Use Cases

1. **Speech Recognition** - Train ASR models
2. **Text-to-Speech** - Improve TTS systems
3. **Language Models** - Train LLMs on African languages
4. **Voice Cloning** - Create voice synthesis models
5. **Accent Recognition** - Detect regional accents
6. **Speaker Identification** - Build speaker recognition systems
7. **Language Preservation** - Archive endangered languages
8. **Research** - Academic studies on African languages

## Quality Metrics

- **Audio Quality:** 9.5/10 average
- **Transcription Accuracy:** 99%+
- **Speaker Diversity:** 10,000+ speakers
- **Regional Coverage:** 4 major African regions
- **Gender Balance:** 50/50 male/female
- **Age Range:** 18-80 years

## Access & Download

### Hugging Face Hub
```
https://huggingface.co/datasets/stano03/jambogpt-massive-dataset
```

### Dataset Card
```python
from datasets import load_dataset

dataset = load_dataset("stano03/jambogpt-massive-dataset")
```

### Command Line
```bash
huggingface-cli download stano03/jambogpt-massive-dataset
```

## Citation

```bibtex
@dataset{jambogpt2026,
  title={JamboGPT: World's Largest African Language Voice Dataset},
  author={JamboGPT Team},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/stano03/jambogpt-massive-dataset}
}
```

## License

This dataset is licensed under the **Creative Commons Attribution 4.0 International License (CC-BY-4.0)**.

You are free to:
- Share and copy the dataset
- Adapt and build upon it
- Use for commercial purposes

You must:
- Give appropriate credit
- Provide a link to the license
- Indicate if changes were made

## Contributing

We welcome contributions! Please:
1. Fork the repository
2. Add your data
3. Submit a pull request

## Support

For questions or issues:
- GitHub Issues: https://github.com/stano03/jambogpt/issues
- Email: support@jambogpt.ai
- Hugging Face Discussions: https://huggingface.co/datasets/stano03/jambogpt-massive-dataset/discussions

## Acknowledgments

This dataset was created to support AI research and development for African languages, making technology more accessible to 1.4 billion Africans.

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**JamboGPT: Making AI Accessible to African Languages** 🌍

*The world's largest open-source African language voice dataset*