---
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## Dataset Details

### Dataset Description

Molecular Sets (MOSES) is a benchmark platform
for distribution learning based molecule generation.
Within this benchmark, MOSES provides a cleaned dataset of molecules that are ideal of optimization.
It is processed from the ZINC Clean Leads dataset.

- **Curated by:**
- **License:** CC BY 4.0

### Dataset Sources

- [Article about original dataset](https://arxiv.org/abs/1811.12823)
- [Link to publication of associated dataset - zinc](https://pubs.acs.org/doi/abs/10.1021/acs.jcim.5b00559)
- [Github repository concerning the dataset](https://github.com/molecularsets/moses)

## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

```bibtex
@article{10.3389/fphar.2020.565644,
title={{M}olecular {S}ets ({MOSES}): {A} {B}enchmarking {P}latform for {M}olecular {G}eneration {M}odels},
author={Polykovskiy, Daniil and Zhebrak, Alexander and Sanchez-Lengeling, Benjamin and Golovanov,
Sergey and Tatanov, Oktai and Belyaev, Stanislav and Kurbanov, Rauf and Artamonov,
Aleksey and Aladinskiy, Vladimir and Veselov, Mark and Kadurin, Artur and Johansson,
Simon and  Chen, Hongming and Nikolenko, Sergey and Aspuru-Guzik, Alan and Zhavoronkov, Alex},
journal={Frontiers in Pharmacology},
year={2020}
}
```