Datasets › Multi-Labelled SMILES Odors dataset
Multi-Labelled SMILES Odors dataset
This dataset is a multi-labelled SMILES odor dataset with 138 odor descriptors. This dataset was created for replicating the paper: A principal odor map unifies diverse tasks in olfactory perception.
The complete replication of the paper (dataset curation + model) can be found in the OpenPOM GitHub repository.
The dataset contains 4983 molecules, each described by multiple odor labels (e.g. creamy, grassy), was made by combining the GoodScents and Leffingwell PMP 2001 datasets each containing odorant molecules and corresponding odor descriptors.
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Odor Descriptor Prediction | Multi-Labelled SMILES Odors dataset | MPNNPOMModel (OpenPOM) Avg. ROC-AUC 0.8872 | A principal odor map unifies diverse tasks in olfactory... | BioMachineLearning/openpom | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper 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 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| A principal odor map unifies diverse tasks in olfactory perception | 1 | 1 | 1 Sep 2023 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Multi-Labelled SMILES Odors dataset
1 variant name, as the archive lists them.
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