SENSEVAL set itself the task of evaluating automaticword sense disambiguation programs (see Kilgarriff andRosenzweig, this volume, for an overview of theframework and results). In order to do this, it wasnecessary to provide a `gold standard' dataset of `correct' answers. This paper will describe thelexicographic part of the process involved in creatingthat dataset. The primary objective was for a group oflexicographers to manually examine keywords in a largenumber of corpus contexts, and assign to each contexta sense-tag for the keyword, taken from the Hectordictionary. Corpus contexts also had to be manuallypart-of-speech (POS) tagged. Various observationsmade and insights gained by the lexicographers duringthis process will be presented, including a critiqueof the resources and the methodology.