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MOSES Molecule Generation Dataset

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.

Task Description

For both distribution learning-based and goal-oriented molecule generation. That is to generate new molecules that has desirable properties measured by some oracles.

Dataset Statistics

1,936,962 molecules, including:

  • 1,355,874 in train
  • 193,696 in validation
  • 387,392 in test

The random split has been made by Therapeutics Data Commons.

Reference

[1] Polykovskiy et al. “Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models.”, Frontiers in Pharmacology. (2020).