Hessians-LoT
This dataset contains recalculated Hessians for selected molecules from the THEMol Hessian data, using the hessian_0.h5 source shard. The files here are the Hessians calculated so far for the comparison study in THEMol; the full original THEMol source HDF5 shards are not included in this upload.
Contents
- HDF5 Hessian files: 329
- Unique source samples: 57
- Atom count range: 3 to 50 atoms
- Total uploaded HDF5 size: 41.37 MB
- Manifest:
metadata/manifest.csv - Method summary:
metadata/method_summary.csv
File Layout
Files are organized by calculation engine and method:
hessians/
ml/uma_m_1p1_omol/
ml/uma_s_1p2_omol/
orca/wb97m_d4_def2_qzvppd/
orca/wb97m_d4_def2_tzvpd/
orca/wb97x_6_31gd/
pyscf/ccsd_t_cbs/
pyscf/wb97m_v_def2_tzvpd/
pyscf/wb97m_v_def2_tzvpd_density_fit/
semiempirical/g_xtb/
semiempirical/gfn2_xtb/
metadata/
manifest.csv
method_summary.csv
summary.json
Each Hessian file is named hessian_0_sample_<zero-padded sample id>.h5. The path and original_path columns in metadata/manifest.csv map uploaded names back to the local calculation outputs.
HDF5 Schema
Each .h5 file contains one molecule group keyed by the original THEMol sample key. Within that group, the common datasets are:
atomic_numbers: atomic numbers, shape(N, 1)coords: coordinates, shape(N, 3)energy: scalar energy from the method in that fileforce: force array, shape(N, 3)gradient: gradient array, shape(N, 3)hessian: flattened Cartesian Hessian, shape(3N, 3N)hessian_4d: Hessian as atom/axis blocks, shape(N, N, 3, 3)when presentreference_hessian: source THEMol Hessian copied fromhessian_0.h5when presentmetadata_json: calculation metadata, including source sample id and method details
UMA-S-1.2 and UMA-M-1.1 predictions (energy, gradient, force, and
hessian) are stored as float32, matching the precision used for inference
and autograd. Coordinates and copied reference Hessians remain float64. The
upload includes the same 37 source samples for both UMA checkpoints.
Calculation attributes use spin_difference = N_alpha - N_beta and
spin_multiplicity = spin_difference + 1; the legacy spin attribute follows
the spin_difference convention. basis_overrides in the manifest records
per-file basis substitutions such as the Br override used by wB97X/6-31G(d).
Methods
g_xtb: 40 files, g-xTBgfn2_xtb: 57 files, GFN2-xTBorca_wb97m_d4_def2_qzvppd: 37 files, ORCA wB97M-D4/def2-QZVPPDorca_wb97m_d4_def2_tzvpd: 45 files, ORCA wB97M-D4/def2-TZVPDorca_wb97x_6_31gd: 37 files, ORCA wB97X/6-31G(d)pyscf_ccsd_t_cbs: 2 files, PySCF RCCSD(T)/CBSpyscf_wb97m_v_def2_tzvpd: 28 files, PySCF wB97M-V/def2-TZVPDpyscf_wb97m_v_def2_tzvpd_density_fit: 9 files, PySCF wB97M-V/def2-TZVPD with density fittinguma_m_1p1_omol: 37 files, UMA-M-1.1 OMol autograd Hessianuma_s_1p2_omol: 37 files, UMA-S-1.2 OMol autograd Hessian
Notes
The calculations were run on samples from data/hessians/hessian_0.h5 in the local THEMol workflow. The original source THEMol shard is referenced in metadata but is not uploaded here.
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