example_deduplicate_50k_synthetic.parquet columns: data has full_name column, but example has first_name and surname

[dpkode]

I'm working through this example: https://moj-analytical-services.github.io/splink/demos/example_deduplicate_50k_synthetic.html and when I read in the data from https://github.com/moj-analytical-services/splink_demos/blob/splink3_demos/data/historical_figures_with_errors_50k.parquet the dataframe does not have the same columns as used in the example. For example:

settings = { "link_type": "dedupe_only", "blocking_rules_to_generate_predictions": [ "l.first_name = r.first_name and l.surname = r.surname", "l.surname = r.surname and l.dob = r.dob", "l.first_name = r.first_name and l.dob = r.dob", "l.postcode_fake = r.postcode_fake and l.first_name = r.first_name", ], } linker = DuckDBLinker(df, settings)

the above fails because the dataframe df has a full_name column, but not the expected first_name and surname columns. Is this the correct example data set to use? Thanks!

[dpkode]

Never mind - I found the ipynb that has the cleaning function to prep the data/split those columns. It might be worth adding the link to that notebook on this example page. Thanks for making Splink and cheers.