Datasets:
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README.md
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English
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## Dataset Structure
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### Data Instances
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Each instance contains:
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The dataset has only a train split with 71,225 examples.
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## Dataset Creation
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### Curation Rationale
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This dataset was created to provide high-quality simulated magnetic field data for machine learning research in physics and engineering.
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None.
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## Considerations for Using the Data
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### Social Impact of Dataset
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This dataset enables research in electromagnetic field prediction and physics-informed machine learning.
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Data is simulated and may not match real-world measurements exactly.
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## Additional Information
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### Dataset Curators
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webXOS Team
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English
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### Data Instances
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Each instance contains:
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The dataset has only a train split with 71,225 examples.
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### Curation Rationale
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This dataset was created to provide high-quality simulated magnetic field data for machine learning research in physics and engineering.
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None.
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### Social Impact of Dataset
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This dataset enables research in electromagnetic field prediction and physics-informed machine learning.
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Data is simulated and may not match real-world measurements exactly.
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### Dataset Curators
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webXOS Team
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