Datasets › GEOM-DRUGS

GEOM-DRUGS

Introduced by Clement Vignac et al. in MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation17 Feb 2023 archive 2025-07-28

GEOM-DRUGS is a dataset of 430,000 large organic molecules of up to 180 atoms from Axelrod and Gómez-Bombarelli, Nature Scientific Data, 2022.

The dataset used by most machine learning papers is a processed version from: link or link.

The original, unprocessed dataset is available: link.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Unconditional Molecule Generation GEOM-DRUGS TABASCO PoseBusters Validity 92 TABASCO: A Fast, Simplified Model for Molecular... carlosinator/tabasco 5 Compare

Papers archive 2025-07-28

5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 20. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • GEOM-DRUGS

1 variant name, as the archive lists them.

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