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EBFormer Datasets

The datasets used in EBFormer are included in this upload. A brief description is included below: Dataset 0.3: Contains all data used in the nanosheet interpolation task. Subsets of 1k, 2k, and 4k are used for the learning curve. Dataset 1.3: Contains all data used in the zero-shot

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CreatorICLR AI4MAT 2026
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Published2026-03-24
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DOI10.5281/zenodo.19204206
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Downloads68
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Licensecc-by-4.0
File Size4.5 GB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views198
Total Downloads68

The datasets used in EBFormer are included in this upload. A brief description is included below:

Dataset 0.3: Contains all data used in the nanosheet interpolation task. Subsets of 1k, 2k, and 4k are used for the learning curve.

Dataset 1.3: Contains all data used in the zero-shot out-of-distribution nanosheet task. 

Nanowire Dataset: Contains all the data used in the nanowire task.

Dataset 2.4: Contains all data used in the transfer learning task presented in the supplementary information.

Each folder includes the specific test, train, and validation sets for the results in the EBFormer paper. All datasets are formatted as extxyz files, with key ‘ldos’ and ‘lJx’ indicating locally-projected DOS/cDOS. ‘_per_atom’ quantities contain the mean-pooled local values. Positions are in Angstroms, DOS in 1/eV, and cDOS in 1/eV 1/cm Hz. 

More details and the our work are available at the EBFormer publicization, hosted on OpenReview.

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EBFormer Datasets (Full Dataset)4.5 GB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

ICLR AI4MAT 2026 (2026). EBFormer Datasets. https://doi.org/10.5281/zenodo.19204206