How to interpret these files

• Each folder contains output of the Mock Data Generator for a specific project (e.g. sbl).

• This repo assumes you have some kind of validator that accepts inputs of CSVs (e.g. SBL's data validator).

• Within each folder, you may find subfolders with categories of errors, but ultimatley, you should find a series of CSVs with the following naming schemas.

  • [project name]_[number of rows]_clean.csv: Should be a fake table that generates no errors with the specified number of rows.
  • [project name]_[error name].csv: This should be a fake table that guarantees a triggering of the specified error. NOTE: it does not mean that it only triggers that error, other errors might occur