Next Notebook(s): extracting a flattened CSV of annotations

[vrooje]

• Read in a pre-processed workflow-id+version classification file
• Read in workflow, workflow_contents exports and extract needed info
• 1 flat csv for question-task annotations, multiple for drawing-task annotations
• use WWK scripts to do the same for survey tasks
• allow for different separators than ,, e.g. \t

[vrooje]

jkjk next notebook was making an authors list, but I still think this is important (though less so now that caesar/aggregations exists and works and is awesome)

[vrooje]

Maybe the next notebook should instead be running aggregations on a data export?

[abdubakr77]

Hi! 👋 I came across this issue and thought it might be worth checking out the deepcsv library. It's designed to handle deeply nested or complex CSV structures that Python's standard csv module struggles with. It might save you from writing custom parsing logic. Still in beta (0.6.2b2), but could be worth experimenting with for this use case!