Datasets for Supervised Matching in Clean-Clean Entity Resolution
Published October 21, 2022 | Version v3
Dataset Open

Datasets for Supervised Matching in Clean-Clean Entity Resolution

Creators

  • 1. University of Athens

Description

The repository includes 13 established datasets for evaluating ML- and DL-based matching algorithms:

  1. Structured DBLP-ACM
  2. Structured DLBLP-Scholar
  3. Structured iTunes-Amazon
  4. Structured Walmart-Amazon
  5. Structured BeerAdvo-RateBeer
  6. Structured Amazon-Google Products
  7. Strucutred Fodors-Zagats
  8. Dirty DBLP-ACM
  9. Dirty DBLP-Scholar
  10. Dirty iTunes-Amazon
  11. Dirty Walmart-Amazon
  12. Textual Abt-Buy
  13. 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:

  1. Abt-Buy
  2. Amazon-Google Products
  3. DBLP-ACM
  4. IMDB-TMDB
  5. IMDB-TVDB
  6. TMDB-TVDB
  7. Walmart-Amazon
  8. DBLP-Google Scholar

The datasets are available in different formats so that they can be processed by the following matching algorithms:

  1. EMTransformer
  2. GNEM
  3. HierMatcher
  4. Magellan
  5. ZeroER

Files

Dn1.zip

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