Scientific Data Significance Rankings with Shapley Explanations
-
Updated
Feb 20, 2026 - Python
Scientific Data Significance Rankings with Shapley Explanations
This repository contains the code of the team StereoBusters for the Evalita 2026 task GSI-detect: Detecting Gender Stereotypes in Italian
🔍 Analyze datasets with DataTypical to identify key instances and their impact, using Shapley explanations for clear insights into data structure.
Add a description, image, and links to the stereotypes-detection topic page so that developers can more easily learn about it.
To associate your repository with the stereotypes-detection topic, visit your repo's landing page and select "manage topics."