The entire conversion and annotation process was completed in 48 hours on a Linux server with 96 cores and 1.5 TB of RAM. The composition of the resulting corpus, categorized by genres and publication years, is presented in Figure 1. Genre classifications were derived from the DNB metadata using string matching heuristics. <hi xmlns="http://www.tei-c.org/ns/1.0" rend="sup"><ref n="4" target="ftn4" /> </hi> It is important to note that the relative proportions and the ‘representativeness’ or ‘balance’ of strata are not relevant in the case of DeLiKo@DNB. Instead, only the minimum absolute sizes of the strata are important, as users are invited to define their own virtual subcorpora. This allows them to create stratified, task-specific subsamples based on metadata constraints (see Kupietz et al. 2010; Kupietz 2016 for a detailed account of this <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">primordial sample </hi>approach).