The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 45, in _get_pipeline_from_tar
current_example[field_name] = f.read()
^^^^^^^^
File "/usr/local/lib/python3.12/tarfile.py", line 693, in read
raise ReadError("unexpected end of data")
tarfile.ReadError: unexpected end of data
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
OMol-Descriptors-4M
Post-DFT interpretive descriptors (partial charges, bond orders, QTAIM topology,
fuzzy and surface integrations, ORCA globals) for the 4M-structure wavefunction
subset of OMol25. Built with the open generator pipeline by wrapping Multiwfn
and ORCA post-analysis on geometries and wavefunctions inherited from the
OMol25 release (wB97M-V / def2-TZVPD).
- Corpus size: 3,986,738 structures across 80+ elements and 34 verticals.
- License: CC-BY-4.0, inheriting OMol25 terms.
- Pipeline: https://github.com/santi921/qtaim_generator
Repository Layout
OMol-Descriptors-4M/
train/ # 3,189,390 structures
val/ # 399,690 structures
test/ # 415,913 structures
holdouts/
h1_metal_ligand/ # 15,030 structures
h3_reactivity/ # 12,507 structures
h6_lanthanide_ligand/ # 2,589 structures
h7_large_systems/ # 18,200 structures
h8_large_net_charge/ # 12,393 structures
Each split folder (and each holdout folder) contains the same eight LMDB files
described below. Held-out structures are removed from train/val/test so the
same structure is never both in-distribution and stress-test. Overlaps between
held-out sets are allowed.
LMDB Files
Every LMDB inside a split is keyed on the same string identifier
k = relpath(job_folder, root).replace("/", "__")
so any combination of descriptors joins by key on the full corpus. Cross-LMDB key alignment holds to within 4 records on the 4M-key index.
| File | What it stores | What you get from it |
|---|---|---|
structure.lmdb |
pymatgen Molecule (positions, elements), total spin and charge, RDKit-derived bond list, external identifiers |
Geometry, connectivity, spin/charge state, source IDs |
charge.lmdb |
per-atom charges nested by scheme | Hirshfeld, CM5, ADCH, Becke, Mulliken (ORCA), Loewdin (ORCA); plus total dipole on Hirshfeld/CM5 and total + per-atom dipoles on ADCH/Becke |
qtaim.lmdb |
per-structure dict of critical points keyed by atom ID (nuclear CP) or atom-pair (bond CP) | 26 scalar fields per CP including rho, laplacian, ellipticity, kinetic and potential energy densities; ring/cage CPs and non-nuclear attractors where present; QTAIM bond presence is recoverable from BCP keys |
bond.lmdb |
bond-order schemes keyed by directed atom-pair string "{i}_{El_i}_to_{j}_{El_j}" |
fuzzy_bond, mayer_orca, loewdin_orca |
fuzzy.lmdb |
per-atom Multiwfn fuzzy integrations | becke_fuzzy_density, hirsh_fuzzy_density; spin counterparts on open-shell records |
other.lmdb |
molecular descriptors from ESP and ALIE surface analysis | surface volume and area, signed mean and variance, polarity index, internal charge separation; plus mpp_full, sdp_full, mpp_heavy, sdp_heavy |
orca.lmdb |
ORCA-derived globals | total SCF energy, HOMO/LUMO orbital energies, dipole vector and magnitude, gradient RMS, energy components, rotational constants, quadrupole, S^2; filtered via DEFAULT_ORCA_FILTER when consumed by the converter |
timings.lmdb |
per-job step durations | Provenance only, not used by the converter |
Coverage
Five of the seven analytic LMDBs show no corrupt or incomplete records. The
two with failures are qtaim (25 missing, 0.0006%) and orca (1,607 missing,
0.0403%). ORCA failures concentrate on physically hard cases (solvated
biomolecules, scaled-separation electrolytes, open-shell TM redox); geometry
and Multiwfn-side descriptors stay valid on those records. Every charge scheme,
bond-order scheme, full QTAIM topology, and ORCA globals reaches >= 99% on each
of the 34 verticals.
Held-Out Evaluation Sets
Each holdout folder is a standalone copy of the eight LMDBs above, restricted
to the structures selected for that stress test. Headline metric per set is
Delta = metric_holdout - metric_main_test.
H1 - Metal-ligand pairs (15,030): eleven (TM, partner) bond pairs sampled stratified across log-spaced frequency bands. Selection uses true bonds (Mayer or fuzzy bond order >= 0.3) from
bond.lmdb, not element co-occurrence. Probes rare metal-ligand chemistry transfer while keeping every element represented in training.H3 - Reactivity (12,507): composition-stratified subsample of
tm_react(5k),electrolytes_reactivity(5k), andpmechdb(2.5k). Tests non-equilibrium and transition-state-adjacent geometries.H6 - Lanthanide-ligand pairs (2,589): same construction as H1 applied to (Ln, partner) bonds across five Ln-bearing verticals. Probes rare f-block bonding while keeping every lanthanide represented in training.
H7 - Large systems (18,200): structures with more than 250 atoms. Size extrapolation regime where fuzzy integration and grid-based QTAIM are most expensive and per-atom DFT signal-to-noise is hardest to maintain.
H8 - Large net charges (12,393): structures with
|net_charge| > 4. The high-charge tail where partial-charge schemes disagree most and SCF is most sensitive to functional and basis.
license: cc-by-4.0
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