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metadata
license: cc-by-nc-4.0
tags:
  - Materials
size_categories:
  - 10M<n<100M

ELEMENTA Dataset

ELEMENTA is a large-scale, low-prior atomistic dataset labelled with density functional theory (DFT). This first public release contains:

  • nearly 39 million frames from the core ELEMENTA dataset;
  • the complete ELEMENTA Spin dataset, containing 4.7 million frames.

Chemical-space coverage

The core release covers:

  • all unary compositions across the periodic table;
  • all binary compositions;
  • ternary compositions whose reduced-formula stoichiometric coefficients sum to no more than four.

The release is defined by explicit compositional and structural boundaries rather than random subsampling. It therefore preserves complete and continuous coverage within the released chemical domain, although it is a subset of the full 210-million-frame ELEMENTA corpus.

ELEMENTA Spin complements the core dataset with large-scale magnetic initializations and DFT-resolved magnetic energy landscapes.

Files

File Contents
ELEMENTA_open.extxyz.tar.zst Core ELEMENTA public release
ELEMENTA_spin.extxyz.tar.zst Complete ELEMENTA Spin release

Both archives contain data in extended XYZ (extxyz) format and are compressed with Zstandard.

To extract an archive:

tar --use-compress-program=unzstd -xf ELEMENTA_open.extxyz.tar.zst
tar --use-compress-program=unzstd -xf ELEMENTA_spin.extxyz.tar.zst

Intended uses

The datasets provide a common benchmark domain for developing and evaluating atomistic foundation models. Example applications include:

  • energy and force prediction;
  • out-of-composition generalization;
  • polymorph recovery and ground-state identification;
  • exact local-minima ranking;
  • crystal structure generation;
  • magnetic-state prediction;
  • systematic analysis of model failures across compositions and structural environments.

Citation and License

If you use this dataset, please cite:

ELEMENTA: Toward Unbiased Scaling of Materials Data from First Principles

Please refer to the accompanying release documentation for detailed data fields, DFT protocols, quality-control procedures, licensing terms, and usage instructions.