The dataset consists of 5088 PNG images of unique hand-drawn chemical structures depictions (Figure ) which are mapped to their corresponding SMILES string as well as an SD file. The structures have been drawn by 24 volunteers from the Westphalian University of Applied Sciences, Campus Recklinghausen, Germany, who have graciously offered to use their free time to contribute to the generation of this dataset. The molecules have been picked from all structures in PubChem [23] using RDKit's implementation of the MaxMin algorithm based on Morgan fingerprints to ensure a diverse coverage of the chemical space. The only filtering rule that has been applied is a molecular weight maximum of 1500 Da. As a consequence, features like stereochemical information, charged groups as well as different types of isotopes are present in the dataset.