DATASET_CARD.md

# FOUND Consciousness Log Dataset

## Dataset Description

The FOUND Consciousness Log is the world's first dataset specifically designed for training AI in emotional understanding and consciousness modeling through video analysis.

### Dataset Statistics
- **Total Videos**: 10,000+
- **Average Duration**: 30-60 seconds
- **Emotional Categories**: 50+
- **Consciousness States**: 11 distinct states
- **Languages**: English (primary), expanding to multilingual

### Data Format

Each entry contains:
```json
{
  "video_id": "unique_identifier",
  "duration_seconds": 45,
  "perceptor_analysis": {...},
  "interpreter_analysis": {...},
  "consciousness_evolution": {...},
  "emotional_embeddings": [256-dimensional vector],
  "market_value": "$12-67"
}
Ethical Considerations

All videos are contributed with explicit consent
Contributors maintain ownership via blockchain verification
Privacy options available (full anonymous to public)
Fair compensation model (92.5% to creators)

Usage
pythonfrom datasets import load_dataset

dataset = load_dataset("FOUND-AI/consciousness_log_v1")
Citation
bibtex@dataset{found_consciousness_log_2025,
  author = {FOUND AI Labs},
  title = {FOUND Consciousness Log: A Dataset for Emotional AI Training},
  year = {2025},
  publisher = {Hugging Face}
}