Datasets:
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Browse files- .gitattributes +1 -0
- README.md +109 -0
- dataset_infos.json +64 -0
- metadata.json +13 -0
- train-00001-of-00001.jsonl +3 -0
.gitattributes
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train-00001-of-00001.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language: en
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license: apache-2.0
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task_categories:
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- physics
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- machine-learning
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tags:
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- physics
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- magnetic-fields
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- simulation
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- science
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---
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# Dataset Card for MAGNET_DATASET
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## Dataset Description
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- **Homepage:** https://github.com/webxos/magnet-datasets
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- **Repository:** https://huggingface.co/datasets/webxos/magnet_dataset
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- **Paper:** N/A
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- **Point of Contact:** webXOS Team
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### Dataset Summary
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Magnetic field simulation dataset generated by webXOS MAGNET DATASETS v4.0. This dataset contains simulated magnetic field measurements for various magnet configurations.
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### Supported Tasks and Leaderboards
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- Magnetic field prediction
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- Physics simulation
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- Scientific machine learning
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- Sensor calibration
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### Languages
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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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- timestamp: Generation timestamp
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- type: Magnet type (dipole, solenoid, etc.)
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- position: [x, y, z] coordinates in meters
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- field: [Bx, By, Bz] magnetic field vector in Tesla
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- strength: Magnitude of magnetic field in Tesla
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### Data Splits
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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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### Source Data
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Synthetic data generated using physics-based simulations.
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### Annotations
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No annotations, only raw simulation data.
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### Personal and Sensitive Information
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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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### Discussion of Biases
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The data is synthetic and evenly distributed across magnet types.
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### Other Known Limitations
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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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### Licensing Information
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Apache 2.0
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### Citation Information
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```bibtex
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@dataset{webxos_magnet_2026,
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title = {Magnetic Field Dataset},
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author = {webXOS},
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year = {2026},
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publisher = {Hugging Face},
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version = {4.0.0}
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}
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```
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### Contributions
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Thanks to the webXOS team for creating this dataset.
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dataset_infos.json
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{
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"magnet_dataset": {
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"description": "Magnetic field simulation dataset",
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"citation": "@dataset{webxos_magnet_2026,\n title = {Magnetic Field Dataset},\n author = {webXOS},\n year = {2026}\n}",
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"homepage": "https://huggingface.co/datasets/webxos/magnet_dataset",
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"license": "apache-2.0",
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"features": {
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"timestamp": {
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"dtype": "int64",
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"id": null,
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"_type": "Value"
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},
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"type": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"position": {
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"feature": {
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"dtype": "float64",
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"id": null,
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"_type": "Value"
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},
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"id": null,
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"_type": "Sequence"
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},
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"field": {
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"feature": {
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"dtype": "float64",
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"id": null,
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"_type": "Value"
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},
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"id": null,
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"_type": "Sequence"
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},
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"strength": {
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"dtype": "float64",
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"id": null,
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"_type": "Value"
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}
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},
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"post_processed": null,
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"supervised_keys": null,
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"task_templates": [],
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"builder_name": "webxos_magnet",
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"config_name": "magnet_dataset",
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"version": {
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"version_str": "4.0.0",
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"major": 4,
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"minor": 0,
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"patch": 0
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},
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 9116800,
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"num_examples": 71225,
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"dataset_name": "magnet_dataset"
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}
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},
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"download_size": 9116800,
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"dataset_size": 9116800
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}
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}
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metadata.json
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{
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"dataset_name": "magnet_dataset",
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"version": "4.0.0",
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"created_at": "2026-01-05T01:03:30.368Z",
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"total_samples": 71225,
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"magnet_types": [
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"dipole",
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"solenoid"
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],
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"data_format": "jsonl",
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"huggingface_compatible": true,
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"fix_applied": "v4.0 - Fixed dataset_infos.json structure for HF compatibility"
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}
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train-00001-of-00001.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8a398174ead9120d947d1bfe3ea4c8aad54d4e4737d5807a6ab31497c011466
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size 15349279
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