We are looking for a data set or data sets to test record linkage/identity resolution. The target problem is matching up customers to people on various watch lists. We want to test the basic stuff that everyone does like edit distance, Jaccard similiarity, and so on. We also need to test some of our own heuristics. And we might look at locality sensitive hashing and perhaps clustering.
First we need some some data to test efficacy of different approaches. I am looking for labelled data or something with some ground truth so I can produce a confusion matrix of true/false positive/negatives.
I don't want to turn this into too much of a "what's your favorite data set" question, but given what I've written above, what data sets can the community recommend to me?
Changed name of the question and description to better reflect the problem space (with thanks to Mark Silverberg).