We can utilize a generic segmentation data set derived from Wikipedia that includes headings (Koshorek et al., 2018), but there is also a need in IR and QA for supervised structural topic labels (Agarwal and Yu, 2009;MacAvaney et al., 2018), different languages and more specific domains, such as clinical or biomedical research (Tepper et al., 2012;Tsatsaronis et al., 2012), and news-based TDT (Kumaran and Allan, 2004;Leetaru and Schrodt, 2013).
we introduce WIKISECTION, 2 a large novel data set of 38k articles from the English and German Wikipedia labeled with 242k sections, original headings, and normalized topic labels for up to 30 topics from two domains: diseases and cities.