Name: Goud-sum
Description: Goud-sum contains 158k articles and their headlines extracted from Goud.ma news website. The articles are written in the Arabic script. All headlines are in Moroccan Darija, while articles may be in Moroccan Darija, in Modern Standard Arabic, or a mix of both (code-switched Moroccan Darija).
Provider: nan
Paper Title: GOUD.MA: A NEWS ARTICLE DATASET FOR SUMMARIZATION IN MOROCCAN DARIJA
Tasks: summarization
Venue Name: International Conference on Learning Representations
Authors: Abderrahmane Issam, Khalil Mrini
Abstract: Moroccan Darija is a vernacular spoken by over 30 million people primarily in
  Morocco. Despite a high number of speakers, it remains a low-resource language.
  In this paper, we introduce GOUD.MA: a dataset of over 158k news articles for automatic summarization in code-switched Moroccan Darija. We analyze the dataset
  and find that it requires a high level of abstractive reasoning. We fine-tune the
  Arabic-language BERT (AraBERT), and the language models for the Moroccan
  (DarijaBERT), and Algerian (DziriBERT) national vernaculars for summarization
  on GOUD.MA. The results show that GOUD.MA is a challenging summarization
  benchmark dataset. We release our dataset publicly in an effort to encourage the
  diversity of evaluation tasks to improve language modeling in Moroccan Darija.