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--- |
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license: mit |
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task_categories: |
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- graph-ml |
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- time-series-forecasting |
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- image-to-image |
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- image-classification |
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- image-feature-extraction |
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tags: |
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- 3d-graphs |
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- graph-generation |
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- time-series |
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- time-crystals |
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- temporal-graphs |
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- procedural-generation |
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- synthetic-data |
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- multimodal |
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- graph-vision |
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- quantum-simulation |
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- computer-graphics |
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- networkx |
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- 3d-reconstruction |
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--- |
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[](https://webxos.netlify.app) |
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[](https://github.com/webxos/webxos) |
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[](https://huggingface.co/webxos) |
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[](https://x.com/webxos) |
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<div style=" |
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background: #00FF00; |
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border-left: 4px solid #00FF00; |
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padding: 1.5rem; |
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margin: 2rem 0; |
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font-family: 'Fira Code', 'Courier New', monospace; |
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color: #00FF00; |
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border-radius: 0 8px 8px 0; |
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"> |
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<pre style=" |
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font-size: 8px; |
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line-height: 1.2; |
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margin: 0; |
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overflow-x: auto; |
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color: #00FF00; |
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"> |
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___ ___ ___ ___ ___ ___ |
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/\ \ ___ /\__\ /\ \ /\__\ ___ /\__\ /\__\ |
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\:\ \ /\ \ /::| | /::\ \ /:/ / /\ \ /::| | /:/ / |
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\:\ \ \:\ \ /:|:| | /:/\:\ \ /:/ / \:\ \ /:|:| | /:/__/ |
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/::\ \ /::\__\ /:/|:|__|__ /::\~\:\ \ /:/ / /::\__\ /:/|:| |__ /::\__\____ |
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/:/\:\__\ __/:/\/__/ /:/ |::::\__\ /:/\:\ \:\__\ /:/__/ __/:/\/__/ /:/ |:| /\__\ /:/\:::::\__\ |
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/:/ \/__/ /\/:/ / \/__/~~/:/ / \:\~\:\ \/__/ \:\ \ /\/:/ / \/__|:|/:/ / \/_|:|~~|~__/ |
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/:/ / \::/__/ /:/ / \:\ \:\__\ \:\ \ \::/__/ |:/:/ / |:| | |
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\/__/ \:\__\ /:/ / \:\ \/__/ \:\ \ \:\__\ |::/ / |:| | |
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\/__/ /:/ / \:\__\ \:\__\ \/__/ /:/ / |:| | |
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\/__/ \/__/ \/__/ \/__/ \|__| |
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</div> |
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# Time Series + Image Gen Hybrid Dataset |
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*UNDER DEVELOPMENT* |
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-Time series: Per-vertex/step generation, energy, phase; overall growth sequences. |
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-Image gen hybrid: Paired images of evolving graphs → train models on temporal graph dynamics with visual outputs (e.g., video frame prediction, graph-to-image). |
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-Time crystal generation — vertices with x/y/z coords, connections, generation step (time series growth), energy, temporalPhase, color, shape. |
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-Generation: Procedural simulation of graph evolving over steps, capturing time series metrics (vertices/edges/size over time). |
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-Edges as adjacency lists. |
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-Includes rendered images per growth step. |
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*This dataset was generated with the TIMELINK app by webXOS, located in the /generator/ folder of the repo.* |
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## Dataset Overview |
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Total Crystals: 8 |
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Total Images: 275 |
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Generation Time: 300.60 seconds |
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Shapes Generated: temporal_ring |
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## File Structure |
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``` |
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dataset.zip/ |
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├── dataset.json # Main dataset file (row-oriented) |
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├── dataset_metadata.json # Complete dataset metadata |
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├── summary.txt # Statistical summary |
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├── README.md # This file |
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└── crystal_*/ # Individual crystal folders |
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├── images/ # Crystal growth images |
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└── metadata.json # Crystal-specific metadata |
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``` |
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## Data Format |
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Each crystal in dataset.json includes: |
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- 3D vertex positions (x, y, z) |
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- Edge connections between vertices |
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- Growth time series data |
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- Comprehensive metadata |
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Note: Images are stored separately in crystal folders to avoid large JSON files. |
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## Applications |
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- Machine learning training data |
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- 3D graph generation research |
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- Quantum system simulation |
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- Time series analysis |
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- Computer graphics research |
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## Citation |
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@misc{timelink_dataset, |
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title={TIMELINK: Time Scaling Crystal Generator}, |
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author={WebXOS}, |
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year={2026}, |
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note={webxos.netlify.app} |
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} |
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## License |
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MIT License |
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