Published September 22, 2026 | Version full_dataset_neutral_v1.1

modelforge curated dataset: SPICE 2

  • 1. ROR icon Memorial Sloan Kettering Cancer Center
  • 2. Stanford University

Description

Modelforge Curated SPICE 2 Dataset:
- Full dataset limited to neutral systems
- Version: full_dataset_neutral_v1.1

This provides a curated hdf5 file for a subset of the SPICE 2 dataset (release v2.0.1) designed to be compatible with modelforge, an infrastructure to implement and train NNPs. This dataset contains 93401 unique records for 1834949 total configurations. The dataset is limited to neutral systems.

When applicable, the units of properties are provided in the datafile,  encoded as strings compatible with the openff-units package. 

This is compatible with modelforge hdf5 schema 2.

For more information about the structure of the data file, please see the following:

Source Dataset:

Small-molecule/Protein Interaction Chemical Energies (SPICE).

The SPICE 2 dataset contains roughly 2 million conformations for a diverse set of small molecules, dimers, dipeptides, and solvated amino acids. It includes 17 elements, charged and  uncharged molecules, and a wide range of covalent and non-covalent interactions.  SPICE 2 is an update to spice 1, roughly double the total dataset size and including 2 additional elements.  It provides both forces and energies calculated at the ωB97M-D3(BJ)/def2-TZVPPD level of theory, using Psi4 1.4.1 along with other useful quantities such as multipole moments and bond orders.

 

Properties Included:

  • atomic_numbers 
  • positions      
    • "per_atom"
    • "nanometer"
  • dft_total_force
    • "per_atom"
    • "kilojoule_per_mole / nanometer"
  • mbis_charges   
    • "per_atom"
    • "elementary_charge"
  • mbis_dipoles   
    • "per_atom"
    • "elementary_charge * nanometer"
  • mbis_quadrupoles       
    • "per_atom"
    • "elementary_charge * nanometer ** 2"
  • mbis_octupoles 
    • "per_atom"
    • "elementary_charge * nanometer ** 3"
  • mayer_indices  
    • "per_atom"
    • "dimensionless"
  • wiberg_lowdin_indices  
    • "per_atom"
    • "dimensionless"
  • total_charge   
    • "per_system"
    • "elementary_charge"
  • dft_total_energy       
    • "per_system"
    • "kilojoule_per_mole"
  • formation_energy       
    • "per_system"
    • "kilojoule_per_mole"
  • scf_dipole     
    • "per_system"
    • "elementary_charge * nanometer"
  • scf_quadrupole 
    • "per_system"
      "elementary_charge * nanometer ** 2"
  • smiles 
    • "meta_data"

 

Citations:

Spice 2 publication:

  • Eastman, P., Pritchard, B. P., Chodera, J. D., & Markland, T. E. Nutmeg and SPICE: models and data for biomolecular machine learning. Journal of chemical theory and computation, 20(19), 8583-8593 (2024). https://doi.org/10.1021/acs.jctc.4c00794

Original SPICE 1 publication:

  • Eastman, P., Behara, P.K., Dotson, D.L. et al. SPICE,  A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials. Sci Data 10, 11 (2023). https://doi.org/10.1038/s41597-022-01882-6

Source dataset, released with CCO 1.0 Universal license:

  • Eastman, P., Behara, P. K., Dotson, D., Galvelis, R., Herr, J., Horton, J., Mao, Y., Chodera, J., Pritchard, B., Wang, Y., De Fabritiis, G., & Markland, T. (2024). SPICE 2.0.1 (2.0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10975225

Files

Files (23.3 GB)

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md5:35a3bc3020d0aa2d1a5f46e5f3ae89f7
23.3 GB Download

Additional details

Related works

Is derived from
Dataset: 10.5281/zenodo.10975225 (DOI)
Is described by
Journal article: 10.1038/s41597-022-01882-6 (DOI)
Journal article: 10.1021/acs.jctc.4c00794 (DOI)
Software: https://github.com/openmm/spice-dataset (URL)

Software

Repository URL
https://github.com/choderalab/modelforge
Programming language
Python
Development Status
Active