In previous work we compared the performance of established bioactivity prediction methods versus deep neural networks . In order to publish the results from this benchmark the creation of a public dataset (to accompany the publication) was required. ChEMBL (version 20) was used and a high quality subset was extracted and made available . There were several problems we ran into. Firstly there was the amount of work needed to prepare the ChEMBL dataset, leading to an inability to include the separate smaller scale datasets we were planning to add.. In addition, there was a large reduction in size due to the selection of high quality data with the final dataset being 2.5% of the total ChEMBL data.