Datasets › Musk v2
Musk v2
The Musk2 dataset is a set of 102 molecules of which 39 are judged by human experts to be musks and the remaining 63 molecules are judged to be non-musks. Each instance corresponds to a possible configuration of a molecule. The 166 features that describe these molecules depend upon the exact shape, or conformation, of the molecule.
Source: Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data
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 | ||||
|---|---|---|---|---|---|---|
| Multiple Instance Learning | Musk v2 | DSMIL ACC 0.934 | Dual-stream Multiple Instance Learning Network for Whole... | binli123/dsmil-wsi +1 | 2 | Compare |
Papers archive 2025-07-28
2 shown of 2 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 4. 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 | |||
|---|---|---|---|---|
| Snuffy: Efficient Whole Slide Image Classifier | 1 | 1 | 15 Aug 2024 | not harvested |
| Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning | 2 | 1 | 17 Nov 2020 | ran 4 of 6 samples (2 unverified) |
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
- Musk v2
1 variant name, as the archive lists them.
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