Due to technological advancements, modern hearing aids may have many adjustable parameters, multiple memories, and the ability to house all sorts of signal-processing algorithms. To enable a systematic evaluation of the speech intelligibility for a variety of hearing-aid settings, large sets of speech materials are required. This paper reports on the creation and evaluation of a set of 1272 sentences uttered by two male and two female speakers. Two subsets were formed (one for a male speaker and one for a female speaker) to enable efficient measurement of the speech reception threshold in stationary speech-shaped noise. Each subset consists of 39 lists, each comprising 13 sentences. The properties of the new subsets are comparable to the existing sets that are used in clinical practice. [Work supported by the Heinsius Houbolt foundation.]