Giter Site home page Giter Site logo

Question about Data about jedaitoolkit HOT 2 CLOSED

scify avatar scify commented on May 29, 2024
Question about Data

from jedaitoolkit.

Comments (2)

gpapadis avatar gpapadis commented on May 29, 2024 1

Hi!

I apologize for the late reply.

Yes, we have processed the datasets to remove conflicting information. In the case of Clean-Clean ER, this means that we have removed entities that match with more than one entity from the other dataset. For example, in the Amazon-GP dataset, you can easily check via Excel that the original ground-truth file contains 187 duplicate ids in the left column and 9 duplicates in the right one. In our version of the dataset, we have removed these cases.

Regarding the Dirty ER cases, they are indeed a combination of the Clean-Clean ER datasets, i.e., we merged the entity profiles into a single dataset and the ground-truth contains the same duplicates as before.

Kind regards,
George

from jedaitoolkit.

tshu-w avatar tshu-w commented on May 29, 2024

Hi, thank you for your clear reply!

from jedaitoolkit.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.