--- language: en license: apache-2.0 task_categories: - tabular-classification - tabular-regression - time-series-forecasting tags: - physics - magnetic-fields - simulation - science - electromagnetism - synthetic-data - tabular - webdataset --- [![Website](https://img.shields.io/badge/webXOS.netlify.app-Explore_Apps-00d4aa?style=for-the-badge&logo=netlify&logoColor=white)](https://webxos.netlify.app) [![GitHub](https://img.shields.io/badge/GitHub-webxos/webxos-181717?style=for-the-badge&logo=github&logoColor=white)](https://github.com/webxos/webxos) [![Hugging Face](https://img.shields.io/badge/Hugging_Face-🤗_webxos-FFD21E?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/webxos) [![Follow on X](https://img.shields.io/badge/Follow_@webxos-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/webxos)
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### Dataset Summary This magnetic field simulation dataset was generated by the webXOS MAGNET DATASETS IDE which can be downloaded from the /generator/ folder so that users can create similar datasets. This dataset contains simulated magnetic field measurements for various magnet configurations. ### Supported Tasks and Leaderboards - Magnetic field prediction - Physics simulation - Scientific machine learning - Sensor calibration ### Languages English ### Data Instances Each instance contains: - timestamp: Generation timestamp - type: Magnet type (dipole, solenoid, etc.) - position: [x, y, z] coordinates in meters - field: [Bx, By, Bz] magnetic field vector in Tesla - strength: Magnitude of magnetic field in Tesla ### Data Splits The dataset has only a train split with 71,225 examples. ### Curation Rationale This dataset was created to provide high-quality simulated magnetic field data for machine learning research in physics and engineering. ### Source Data Synthetic data generated using physics-based simulations. ### Annotations No annotations, only raw simulation data. ### Personal and Sensitive Information None. ### Social Impact of Dataset This dataset enables research in electromagnetic field prediction and physics-informed machine learning. ### Discussion of Biases The data is synthetic and evenly distributed across magnet types. ### Other Known Limitations Data is simulated and may not match real-world measurements exactly. ### Dataset Curator webXOS ### Licensing Information Apache 2.0 ### Citation Information ```bibtex @dataset{webxos_magnet_dataset, title = {Magnet Dataset by webXOS}, author = {webXOS}, year = {2026}, } ```