Skip to content

ZurichNLP/DETECT

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

44 Commits
 
 
 
 
 
 
 
 

Repository files navigation

DETECT

This repository contains the datasets and metric umplementation from our paper:
DETECT: Determining Ease and Textual Clarity of German Text Simplifications


📂 Repository Structure

SimpEvalDE/

Contains the instructions and resources for generating SimpEvalDE,
a German-specific dataset for text simplification quality evaluation on which DETECT was trained and evaluated.
SimpEvalDE includes synthetic scores for simplicity, meaning preservation,
and fluency, generated by three LLM-based judges.

lens/

Implements:

Please refer to lens/README.md for detailed usage instructions,
model loading, and scoring examples.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Python 51.1%
  • Jupyter Notebook 48.9%