The current research aims to address these issues and produce standardized diverse dataset. This dataset, named Papyrus 10 (in reference to Leiden Papyrus X), is created with ease-on-use and filtering in mind. We want to remove some of the limitations mentioned above and provide a dataset that does not need further curating. Aside from ChEMBL, we implemented data from the ExCAPE-DB database, and added Sharma et al's , Christmann-Franck et al's , Klaeger et al's and Merget et al's data. This current work contributes by providing a standardised and normalised dataset that can be used 'out-of-the-box'. On top of that, we provide multiple sets of integrated descriptors that are widely used in literature. We also show how to manipulate and model the data using proteochemometrics and provide the Python scripts that we used . Lastly, as the focus in Papyrus is on filtering as well, we provide several Python scripts for ease of querying the dataset. This includes filters for organism, activity type, and accession numbers, and a link to the scripts can be found at the end of this document (under 'Data Availability').