One important use case for extracting structured reaction data is the production of procedural instructions to be used for reproducing experiments. For example, Vaucher et al. developed a transformer-based model to translate sentences of experiment procedures into action sequences. While these action sequences contain detailed information for execution, their evaluations focus more on the type of action than the parameters or objects of that action. SynthReader, a rule-based translator developed by Mehr et al., converts natural language procedures to χDL, a data schema designed for chemical operations. Such a rule-based method, despite being computationally efficient, has to be expanded/modified to adapt to a different distribution, e.g., a change in writing style. Various submissions to Cheminformatics Elsevier Melbourne University (ChEMU) evaluation lab also aim to solve the NER/RE tasks including reaction/workup steps. Since these campaigns aim at evaluating individual NER/RE tasks, they do not constitute an end-to-end solution for structured data extraction into a specific output data schema.