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metadata
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

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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

@dataset{webxos_magnet_dataset,
  title = {Magnet Dataset by webXOS},
  author = {webXOS},
  year = {2026},
}