Datasets for Supervised Matching in Clean-Clean Entity Resolution

The repository includes 13 established datasets for evaluating ML- and DL-based matching algorithms: Structured DBLP-ACM Structured DLBLP-Scholar Structured iTunes-Amazon Structured Walmart-Amazon Structured BeerAdvo-RateBeer Structured Amazon-Google Products Strucutred Fodors-Zagats Dirty DBLP-ACM Dirty DBLP-Scholar Dirty iTunes-Amazon Dirty Walmart-Amazon Textual Abt-Buy Textual CompanyA-CompanyB Additionally, the repository includes five new benchmark datasets that are drawn from the following databases using a principled approach based on DeepBlocker: Abt-Buy Amazon-Google Products DBLP-ACM IMDB-TMDB IMDB-TVDB TMDB-TVDB Walmart-Amazon DBLP-Google Scholar The datasets are available in different formats so that they can be processed by the following matching algorithms: EMTransformer GNEM HierMatcher Magellan ZeroER