The FEBRL (Freely Extensible Biomedical Record Linkage) dataset 4b
contains 5,000 duplicate records, one for each original in febrl4a.
Duplicates have been corrupted with typographical errors, missing
values, and transpositions.
Ground truth is encoded in rec_id: the base number matches the
corresponding original (e.g., rec-1070-dup-0 matches
rec-1070-org).
Format
A tibble with 5,000 rows and 11 columns:
- rec_id
Character. Record identifier encoding entity and duplicate status (
-dup-0suffix).- given_name
Character. Given name, sometimes corrupted or missing.
- surname
Character. Family name, sometimes corrupted or missing.
- street_number
Integer. Street number, sometimes missing.
- address_1
Character. Primary address line, sometimes corrupted.
- address_2
Character. Secondary address line, often missing.
- suburb
Character. Suburb or neighborhood.
- postcode
Integer. Postal code.
- state
Character. Australian state abbreviation.
- date_of_birth
Integer. Date of birth as
YYYYMMDDinteger, sometimes missing.- soc_sec_id
Integer. Social security identifier.
Source
Distributed via the splink datasets repository (https://github.com/moj-analytical-services/splink_datasets) under the MIT license. The FEBRL datasets originate from Christen and Churches (2004) and are widely used as record-linkage benchmarks.
References
Christen, P. and Churches, T. (2004). Febrl – Freely Extensible Biomedical Record Linkage. Australian National University.
See also
febrl4a for the corresponding original records.