We have provided several implementations of filters, to narrow down the data for use in modeling (or perhaps other purposes). Using the entirety of Papyrus is not feasible without adequate computational resources, and we recommend users to reduce the data using the provided filters or in their own manner. It should be noted that the quality annotation filter does not imply that only high-quality data should be used, especially since classification models can leverage both the censored and binary data, the latter constituting more than 95% of the dataset.