| --- |
| pretty_name: Princeton MagNet Magnetic Material Data |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-regression |
| - time-series-forecasting |
| tags: |
| - magnetics |
| - power-electronics |
| - material-science |
| - core-loss |
| - hysteresis |
| size_categories: |
| - 100K<n<1M |
| configs: |
| - config_name: steady-state-scalar |
| default: true |
| data_files: |
| - split: full |
| path: releases/magnet-steady-state-training-ready/data/scalar/full/*.parquet |
| - config_name: steady-state-sequence |
| data_files: |
| - split: full |
| path: releases/magnet-steady-state-training-ready/data/sequence/full/*.parquet |
| - config_name: transient-sequences |
| data_files: |
| - split: full |
| path: releases/magnet-transient-training-ready/data/sequences/full/**/*.parquet |
| --- |
| |
| # Princeton MagNet data |
|
|
| This is the public, static data library for Princeton MagNet. It contains four |
| versioned releases in one dataset repository: steady-state raw and |
| training-ready data, and transient raw and training-ready data. The three |
| training-ready Parquet views are available as named configurations; the raw |
| MATLAB and ZIP files are archival downloads. The dataset is not a leaderboard |
| and contains no challenge scores, participant submissions, or team predictions. |
|
|
| | Release | Repository folder | Measurements | Materials | |
| | --- | --- | ---: | ---: | |
| | Steady-state raw | [`releases/magnet-steady-state-raw`](releases/magnet-steady-state-raw/README.md) | 812,492 Combined; 775,865 Cycle | 15 | |
| | Steady-state training-ready | [`releases/magnet-steady-state-training-ready`](releases/magnet-steady-state-training-ready/README.md) | 775,865 | 15 | |
| | Transient raw | [`releases/magnet-transient-raw`](releases/magnet-transient-raw/README.md) | 122,399 B/H/temperature sequences | 15 | |
| | Transient training-ready | [`releases/magnet-transient-training-ready`](releases/magnet-transient-training-ready/README.md) | 122,399 | 15 | |
|
|
| The manifest in each folder gives exact file sizes, SHA-256 checksums, source |
| lineage, schema version, and validation status. Read the corresponding release |
| card before using a file; raw and processed releases have different contracts. |
| All releases currently expose one `full` split rather than an arbitrary |
| benchmark train/test split. |
|
|
| ## Materials |
|
|
| Steady-state: `3C90`, `3C92`, `3C94`, `3C95`, `3E6`, `3F4`, `77`, `78`, |
| `79`, `ML95S`, `N27`, `N30`, `N49`, `N87`, `T37`. |
|
|
| Transient: `3C90`, `3C92`, `3C94`, `3C95`, `3E6`, `3F4`, `77`, `78`, |
| `FEC007`, `FEC014`, `N27`, `N30`, `N49`, `N87`, `T37`. |
|
|
| ## Use the training-ready data |
|
|
| ```python |
| from datasets import load_dataset |
| |
| scalar = load_dataset( |
| "minjiechen/MagNet", name="steady-state-scalar", split="full" |
| ) |
| waveforms = load_dataset( |
| "minjiechen/MagNet", name="steady-state-sequence", split="full" |
| ) |
| transient = load_dataset( |
| "minjiechen/MagNet", name="transient-sequences", split="full" |
| ) |
| ``` |
|
|
| The two steady-state configurations join one-to-one on `measurement_id`. |
| Steady-state triangular waveforms retain positive and negative duty fractions; |
| sinusoidal duty is null. The transient release retains variable-length B/H |
| sequences and a 16 MHz sampling contract. Model users should review quality |
| flags, operating ranges, and split-leakage guidance in the individual cards. |
|
|
| To download an archival file, use its exact path from the release manifest |
| with `hf_hub_download(repo_id="minjiechen/MagNet", repo_type="dataset", |
| filename="releases/<release-id>/<path>")`. |
|
|
| ## Provenance and limitations |
|
|
| The selected T37 steady-state Combined file embeds 2023-09-11 while the Cycle |
| file embeds 2023-08-29. The project owner attests that both derive from the |
| August 29, 2023 processing and approved publication with this documented |
| exception. The original MAT bytes retain both embedded dates; independent |
| Cycle-to-Combined derivation has not been verified. See the steady-state cards |
| and source catalogs for detail. |
|
|
| The ten transient source ZIPs had contributor names and local paths removed |
| from Excel package metadata before publication. Scientific worksheet and CSV |
| content was preserved; published checksums and the sanitization audit are in |
| the transient raw release. This release is not a claim of physical measurement |
| accuracy, safety certification, or universal model performance. |
|
|
| ## License, citation, and maintainer |
|
|
| All four releases are distributed under [Creative Commons Attribution 4.0 |
| International](https://creativecommons.org/licenses/by/4.0/legalcode) |
| (CC BY 4.0). Each release includes its own `LICENSE` file. |
|
|
| Please cite Li et al., “How MagNet: Machine Learning Framework for Modeling |
| Power Magnetic Material Characteristics,” *IEEE Transactions on Power |
| Electronics*, 2023, |
| [doi:10.1109/TPEL.2023.3309232](https://doi.org/10.1109/TPEL.2023.3309232). |
|
|
| Maintainer: Princeton Power Electronics Research Lab / Minjie Chen. |
|
|
