1. It is desired to have more evidence or analysis supporting the training effectiveness property of the dataset or other key properties
that will explain the importance and possible use-cases of _LMGQS_ over other QFS datasets.
2. Several unclear methods affecting readability and reproducibility:
* "To use LMGQS in the zero-shot setting, it is necessary to convert the queries of diverse formats into natural questions." (L350) please explain why.
* "Specifically, we finetune a BART model to generate queries with the document and summary as input." (L354) - how did you FT? what is the training set and any relevant hyper-parameters for reproducing the results.
* "we manually create a query template to transform the query into a natural language question." (L493) - what are the templates? what are the query template and several examples.
1. It is desired to have more evidence or analysis supporting the training effectiveness property of the dataset or other key properties that will explain the importance and possible use-cases of _LMGQS_ over other QFS datasets.