Datasets for Supervised Matching in Clean-Clean Entity Resolution
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下载链接：
https://zenodo.org/record/7233050
下载链接
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资源简介：
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
创建时间：
2023-07-20
