Name: NSURL-2019 Shared Task 8
Description: This dataset is composed of 12000 question pairs labelled with 1 for semantically similar questions and 0 for semantically different
Provider: Mawdoo3
Paper Title: NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic
  
Tasks: semantic similarity
Venue Name: ArXiv
Authors: Haitham Seelawi,Ahmad Mustafa,H. Al-Bataineh,Wael Farhan,Hussein T. Al-Natsheh
Abstract: Question semantic similarity (Q2Q) is a challenging task that is very useful in many NLP applications, such as detecting duplicate questions and question answering systems. In this paper, we present the results and findings of the shared task (Semantic Question Similarity in Arabic). The task was organized as part of the first workshop on NLP Solutions for Under Resourced Languages (NSURL 2019) The goal of the task is to predict whether two questions are semantically similar or not, even if they are phrased differently. A total of 9 teams participated in the task. The datasets created for this task are made publicly available to support further research on Arabic Q2Q.