Published March 30, 2022
| Version v2
Dataset
Open
Clean-Clean ER Datasets with FastText embeddings
Description
This is a collection of 11 real-world datasets for Clean-Clean ER. Every dataset contains the aggregate attribute values per entity (i.e., a concatenation of all individual attribute values) as well as the value for the most frequent and distinctive attribute. In both cases, the corresponding pre-trained fastText embeddings are available, too.
The datasets are the following:
- D1: Restaurants
- D2: Abt-Buy
- D3: Amazon-Google Products
- D4: DBLP-ACM
- D5: IMDB-TMDB
- D6: IMDB-TVDB
- D7: TMDB-TVDB
- D8: Amazon-Walmart
- D9: DBLP-Scholar
- D10: Movies
For more details, please refer to ContinuousFilteringBenchmark and to the corresponding technical report.
The 11th datasets comprises two versions of the DBPedia English Infoboxes. Please refer to this publication for more details.
Files
D10Aemb.csv
Files
(8.3 GB)
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