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metadata
license: cc-by-4.0
language:
  - en
pretty_name: MLIP-liquid-corrections
size_categories:
  - 1M<n<10M
tags:
  - chemistry
  - molecular-dynamics
  - interatomic-potentials
  - bsse
  - dispersion
configs:
  - config_name: atm
    data_files:
      - split: full
        path: ATM/atm_dataset.csv
  - config_name: bsse
    data_files:
      - split: full
        path: BSSE/bsse_dataset.csv

MLIP-liquid-corrections

Dataset Summary

MLIP-liquid-corrections provides energy and force labels for basis-set superposition error (BSSE) and Axilrod–Teller–Muto (ATM) corrections. The molecular configurations are derived from OMol25, including SPICE-origin structures.

BSSE labels were calculated using the counterpoise (CP) method at the ωB97M-V/def2-TZVPD level of theory. ATM labels were calculated from the three-body term of D4 using the ωB97M (wb97m) parameterization.

The dataset contains 2,026,607 configurations covering H, C, N, O, F, P, S, Cl, and Br. Energy and force labels describe corrections rather than total molecular energies and forces.

Subsets

Subset Configurations Description
ATM 1,606,854 Additive ATM energy and force corrections.
BSSE 419,753 Native BSSE energy and force quantities.

Both subsets use the Hugging Face split full. Source IDs beginning with train_ do not define a train/test split. Cross-subset records are not aligned by row number.

Dataset Structure

Each subset contains a CSV index and one HDF5 file:

ATM/
  atm_dataset.csv
  omol25_spice_cleaned_corrected_atm.h5
BSSE/
  bsse_dataset.csv
  omol25_spice_cleaned_corrected_bsse.h5

CSV Index

Both CSV indices contain exactly these five columns:

h5_key,num_atoms,spice_name,smiles,mapped_smiles

h5_key is the original source record ID, such as train_1000, and names the corresponding HDF5 group. Select the HDF5 file from the index's ATM or BSSE subset. num_atoms is the configuration's atom count. spice_name is the source SPICE molecular name and may be shared by multiple configurations. smiles and mapped_smiles follow the conventions described below.

HDF5 Format

Both files use grouped_correction_with_species_v1, with one top-level group per configuration. N is the number of atoms in that configuration.

ATM

/train_1000/
  atomic_numbers  (N,)     uint8
  positions       (N, 3)   float64
  ATM_energy      scalar  float64
  ATM_forces      (N, 3)   float64
  smiles          scalar  UTF-8 string
  mapped_smiles   scalar  UTF-8 string

BSSE

/train_10000403/
  atomic_numbers  (N,)     uint8
  positions       (N, 3)   float64
  BSSE_energy     scalar  float64
  BSSE_forces     (N, 3)   float64
  smiles          scalar  UTF-8 string
  mapped_smiles   scalar  UTF-8 string

Each HDF5 group retains only the fixed-length UTF-8 attributes smiles and mapped_smiles. Atom map j+1 in mapped_smiles corresponds to atom row j. The SMILES values in the CSV indices match the corresponding HDF5 group attributes.

See DATA_PROVENANCE.md for source and processing details, dataset_info.json for statistics, and DATA_MANIFEST.sha256 for file hashes.

Units

Quantity ATM BSSE, native
Position Å Å
Energy eV Hartree
Force eV/Å Hartree/Bohr

For additive BSSE corrections, negate and convert the native labels:

E_additive[eV]   = -BSSE_energy * 27.211386245988
F_additive[eV/Å] = -BSSE_forces * 27.211386245988 / 0.529177210903

License and Citation

Creative Commons Attribution 4.0 International (CC BY 4.0). Preserve NOTICE and THIRD_PARTY_NOTICES.md when redistributing. See CITATION.md for the OMol25 and SPICE publications.

When using the BSSE and ATM data, please cite the associated study:

@misc{wang2026subtleenergycorrectionsreshape,
  title={Subtle Energy Corrections Reshape Condensed-Phase Property Predictions from a Machine-Learning Interatomic Potential},
  author={Haihui Wang and Xinyan Wang and Jiashu Liang and Yuanheng Wang and Chang Han and Wen Yan and Tianze Zheng and Kuang Yu},
  year={2026},
  eprint={2611.06109},
  archivePrefix={arXiv},
  primaryClass={physics.chem-ph},
  url={https://arxiv.org/abs/2611.06109},
}