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README.md

@@ -71,38 +71,3 @@ year={2020}
 ```
 
 
-## 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: Adrian Mirza, Michael Pieler and Kevin Maik Jablonka**
-- **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}
-}
-```