Datasets:
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---
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
---
[](https://webxos.netlify.app)
[](https://github.com/webxos/webxos)
[](https://huggingface.co/webxos)
[](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},
}
```
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