Network datasets#

1. Pajek Datasets
   When publishing results obtained using this data set the original authors should be cited. In addition this collection should be cited as:
   Vladimir Batagelj and Andrej Mrvar (2006): Pajek datasets. <url: http://vlado.fmf.uni-lj.si/pub/networks/data/>
2. Newman's Network data
3. Stanford Large Network Dataset Collection
   The datasets available on the website were mostly collected (scraped) for the purposes of our research.
   Please cite: http://snap.stanford.edu/data/
4. Social Network Dataset
   
5. DBLP
   The DBLP Computer Science Bibliography
6. Tweet social graphs
   Tweeter followship graph
7. Online Social Network data
   Flickr(users,links,group,groupmembership), LiveJournal, Orkut, Youtube(users,links,groups,groupmembership)
8. Datamob / Datasets / social networks
9. Extracted DBLP Dataset
   In this dataset, we extracted out more than 18w papers with title,authors,year,venue and topics. There are totally 25 topics that are identified by SVM classifers. It was used in our paper, Which Topic will You Follow? (ECML-PKDD2012), and Towards topic following in heterogeneous information networks (ASONAM2015)

Recommendation Datasets#

1. Weibo tag and followship dataset and Douban movie/user tag and rating dataset
   These two datasets were used in the experiments of Weibo followship recommendation and Douban movie recommendation (used in our paper in ASONAM2018).
2. Prostate cancer
3. Cross-domain recommendation dataset of Diabetes (used in our papers in CIKM2015 and ICDM2015)
4. Douban Movie dataset (used in our papers in CIKM2015 and ICDM2015)
5. Human assessment survey for Douban Movie recommendation (50 samples used in our papers in CIKM2015 and ICDM2015)

Entity Resolution#

1. arXive hep-th: KDD Cup 2003 publication dataset, hep-th portion of arXive
2. CiteSeer: collection of research publications
3. Cora: a citation dataset from RIDDLE data repository
4. Cora: a citation dataset from Andrew McCallum's data repository
5. DBLP: collection of bibliographic entries
6. DMOZ ontology: a large downloadable ontology
7. Enron Email Dataset: a dataset of Enron emails
8. FEBRL Database: Freely Extensible Biomedical Record Linkage
9. Freedb CD Dataset: Info on various CDs
10. IMDb: collection of movie-related entries
11. PubMed/MEDLINE: over 20 Million bibliographic entries for biomedical literature
12. RIDDLE Repository: various data cleaning-related datasets
13. SPOKE Challenge: (registration is required) collection of labeled webpages for SPOKE Challenge
14. Stanford Movie Dataset: collection of movie-related entries
15. UC Irvine Machine Learning Repository: collection of various ML datasets
16. UIS Database Generator: generates synthetic names and addresses by injecting errors into clean records
17. U.S. Census Names: frequently occurring first names and surnames from the 1990 Census
18. Web Disambiguation: collection of labeled webpages used by Bekkerman and McCallum in WWW'05
19. WEPS Corpus: collection of labeled webpages used by Artiles, Gonzalo, and Verdejo in SIGIR'05
20. Wiktionary: downloadable free-content multilingual dictionary