Datasets › SPICE

SPICE (Small-Molecule/Protein Interaction Chemical Energies)

Introduced by Peter Eastman et al. in SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials21 Sep 2022 archive 2025-07-28

SPICE is a collection of quantum mechanical data for training potential functions. The emphasis is particularly on simulating drug-like small molecules interacting with proteins. It is designed to achieve the following goals:

  • Cover a wide range of chemical space
  • Cover a wide range of conformations
  • Include forces as well as energies
  • Include a variety of other information
  • Use an accurate level of theory
  • Be a dynamic, growing dataset
  • Be freely available under a non-restrictive licence

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 17 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

MIT license

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • SPICE

1 variant name, as the archive lists them.

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