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tidy-MDQM9nc
This release contains a strictly filtered, atom-order-correct subset of MDQM9-nc for training and evaluating transferable molecular samplers.
| Split | Original molecules | Retained molecules | Rejected molecules | Retained frames | Rejected frames |
|---|---|---|---|---|---|
| Train | 12,306 | 11,224 | 1,082 | 179,584,000 | 17,312,000 |
| Val | 100 | 7 | 93 | 112,000 | 1,488,000 |
| Test | 100 | 95 | 5 | 3,420,000 | 180,000 |
Layout and schemas
Training WebDataset
Training data are in webdatasets/single_frames/train/0000.tar through 1968.tar.
Each retained sample has two members named <molecule_id>_<frame_id>:
.bin: raw little-endian float32 data shaped(N, 4)with columns(Z, x, y, z);.smiles: UTF-8 explicit-hydrogen, atom-mapped SMILES.
Coordinates are in nanometres. Atom map i refers to row i - 1 of the binary array.
The original sample keys and shard assignment are preserved.
Validation and test trajectories
Validation and test data are one NPZ per retained molecule under trajectories/val/ and
trajectories/test/. Trajectory ordering and all original arrays are preserved; only the
SMILES value is replaced by the validated atom-mapped representation. The positions
array has shape (frames, N, 4) and columns (Z, x, y, z) in nanometres.
Topology
topology/mdqm9-nc.sdf is the source SDF topology collection. Contrary to the previous
dataset card, this repository does not contain GAFF topology tar archives.
Provenance and verification
- Source dataset: MDQM9-nc, Zenodo record 10579242.
- Source Hugging Face revision:
64727bf79c5bef7d2411598622da4531d74700f8. - Filter implementation:
strict-mdqm9nc-v1. - Source simulations: non-cyclic QM9 molecules in vacuum near room temperature using GAFF.
- QC and output manifests:
qc/. - Per-file SHA256, byte sizes, frame counts, and shard counts:
qc/release_manifest.json.
All retained training samples were copied from the atom-mapped local WebDataset only after the strict molecule-level decision. Every output shard was parsed and checked for paired members, valid tar checksums, exact mapped SMILES, expected atomic-number order, unique sample keys, and absence of rejected molecules. Every retained validation/test frame was checked for finite coordinates and exact atomic-number order before serialization.
Limitations
Graph inference from coordinates is geometry-sensitive. The strict policy intentionally prefers precision over coverage and rejects an entire molecule for any graph, mapping, or cross-shard ambiguity. This can change the chemical composition of each split. Consult the QC manifest before comparing results against the original MDQM9-nc split.
Citation
@dataset{viguera_diez_2024_10579242,
author = {Viguera Diez, Juan and Olsson, Simon},
title = {MDQM9-nc dataset},
year = {2024},
publisher = {Zenodo},
doi = {10.26434/chemrxiv-2023-sx61w}
}
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