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blackroad-os-research/notebooks/README.md
2025-11-24 16:35:50 +00:00

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# Notebooks
This directory contains Jupyter notebooks and exploratory analysis scripts for BlackRoad OS research.
## Organization
Notebooks are organized by research domain:
- **`sig/`** - Spiral Information Geometry explorations
- Coordinate transforms
- Distance metrics
- Factor tree visualizations
- Embedding analysis
- **`qlm/`** - Quantum Language Model experiments
- Entanglement proxies
- Superposition models
- Interference patterns
- **`orchestration/`** - Orchestration strategy prototypes
- Contradiction resolution
- Agent coordination
- Workflow experiments
## Style Guide
Please follow the [Notebook Style Guide](../docs/notebook-style-guide.md) when creating notebooks.
### Quick Checklist
Every notebook should have:
- [ ] Header cell with purpose, dependencies, and data sources
- [ ] Organized imports
- [ ] Centralized configuration
- [ ] Markdown cells explaining each section
- [ ] Labeled visualizations
- [ ] Small datasets (or references to external data)
- [ ] Cross-references to related papers/experiments
## Creating a New Notebook
1. Choose the appropriate domain subdirectory
2. Name your notebook descriptively: `descriptive-name.ipynb`
3. Copy the header template from the style guide
4. Document your dependencies
5. Link to related papers and experiments
## Data
Notebooks should use:
- Small synthetic datasets
- Sampled data (< 1000 rows typically)
- References to external data sources (documented in code)
Never commit large datasets directly in notebooks.
## Outputs
Clear large outputs before committing:
- Use "Cell > All Output > Clear" for notebooks with heavy outputs
- Save important results to files instead of displaying in cells
- Keep only essential visualizations embedded
## Related Documentation
- [Research Overview](../docs/research-overview.md)
- [Notebook Style Guide](../docs/notebook-style-guide.md)
- [Experiment Template](../docs/experiment-template.md)