| # 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} |
| } |
| |