There are challenges to achieving this complete description of the recipe. First, the information presented in the literature is often missing or varying in the level of detail. In addition to cases where the entire recipe or part of the precursor amounts were missing (discussed in the above subsection), information such as shape yield, seed characterization, reaction/aging temperature and time are often simply missing in most cases. Furthermore, the order of mixing is not always explicitly presented. While some papers write that "Precursor A was injected into Precursor B and then Precursor C was mixed with that solution", other papers write "A solution mixture of Precursor A, B, and C was mixed with another solution consisting of D, E". We note that for the case of solid-state synthesis, Malik et al. found that adding the action sequence for product prediction did not show a significant increase in prediction power, which would imply that at low-dataset-size regime, it is better to select some features of recipe representation rather than adding as many features as pos-Therefore, it is unclear whether more precise extraction of the action sequences would result in better model accuracy in this instance, but for larger data set sizes or for scientific understanding such sequence descriptions may prove useful.