RDF:
Victorian Era Authorship Attribution
Victorian Era Authorship Attribution

To create the largest authorship attribution dataset, we extracted works of 50 well-known authors. To have a non-exhaustive learning, in training there are 45 authors whereas, in the testing, it's 50

To create the largest authorship attribution dataset, we extracted works of 50 well-known authors. To have a non-exhaustive learning, in training there are 45 authors whereas, in the testing, it's 50

Data and Resources

  • Victorian Era Authorship Attribution.jsonJSON

  • Data Description.pdfPDF

Additional Info

Field Value
Author MCI Machine Learning Repository
Last Updated September 17, 2021, 10:57 (CST)
Created September 17, 2021, 10:57 (CST)
Area "Computer"
Associated Tasks "Classification"
Attribute Characteristics "N/A"
DPA_DateImported 212601019
DPA_former_id 9b8ba8d2-94f6-4fcf-ab0c-20f164ae5eca
DPA_former_name victorian-era-authorship-attribution
DPA_former_owner_org aac07418-7ef8-49ab-b0b2-e4e75a5379fe
DPA_former_site https://scidm.nchc.org.tw
Data Set Characteristics "Text"
Date Donated "2018-05-31"
Missing Values "N/A"
Number of Instances "93600"
Number of Web Hits "4943"
Number_of_Attributes "1000"
AODP Economy Taiwan