Multiverse-field-coordinates

Vedic Neural Geometry – Multiverse Field Dataset

एक सार्वत्रिक, शुद्ध-संख्यात्मक, बहुआयामी कॉऑर्डिनेट सिस्टीम.
ओलंपिक मैदानाप्रमाणे एकच मैदान — ज्यातून वेगवेगळ्या विषयांवर कॉऑर्डिनेशन / mapping करता येते.

Core Concept

• केंद्र (Bindu / Brahma): सर्व आयामांमध्ये केंद्रबिंदू
• Angular Grid: 0° ते 360° (1° स्टेप)
• ID: 1 ते 108 (108 Divisions)
• Layers (Avaran): 7 थर
• Dimensions: 3D, 8D, 16D, 32D, 64D
• Math Engine: Orthogonal bases + Rotation matrices
• Complementary: 0° आणि 180° exact opposite (जसे RGB ↔ CMY)

Dataset Structure

data/ ├── layer_01/ │ ├── coords_3d.csv │ ├── coords_8d.csv │ ├── coords_16d.csv │ ├── coords_32d.csv │ └── coords_64d.csv ├── layer_02/ │ └── ... (same) ... └── layer_07/ └── ... (same)

CSV Format

• पहिला कॉलम: ID (1–108)
• बाकी कॉलम: 0 ते 360 (अंश)
• प्रत्येक सेल: comma-separated vector
  उदाहरण (3D): 0.123456,-0.234567,0.890123

Mathematical Foundation

1. प्रत्येक ID साठी deterministic orthogonal matrix (QR decomposition)
2. कोन θ नुसार unit hypersphere वर base point
3. Orthogonal matrix ने rotate
4. Layer नुसार radius scaling
5. 0° ↔ 180° = exact complementary (negative vector)

Intended Use

• Multi-dimensional embedding / coordinate systems
• Geometric neural networks
• Symbolic / Vedic geometry experiments
• Universal mapping field for different domains
• Research on orthogonal and rotational structures

Generation

Generated using pure NumPy with:

• Orthogonal frames via QR
• Hyperspherical coordinates
• Layer-wise radial scaling

Citation

@dataset{multiverse_field_coordinates, author = {kalpesh77}, title = {Multiverse Field Coordinates – Vedic Neural Geometry}, year = {2025}, url = {https://huggingface.co/datasets/kalpesh77/Multiverse-field-coordinates} }

License

MIT