Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets

By Yousef Altaher, A. Fadel, Mazen Alotaibi, Mazen Alyazidi, Mishari Al-Mutairi, Mutlaq Aldhbuiub, Abdulrahman Mosaibah, A. Rezk, A. Alhendi, Mazen Abo Shal and 11 more. 2022

12 citations recorded by the source corpus.

Masader (Alyafeai et al., 2021) created a metadata structure to be used for cataloguing Arabic NLP datasets. However, developing an easy way to explore such a catalogue is a challenging task. In order to give the opti-mal experience for users and researchers exploring the catalogue, several design and user experience challenges must be resolved. Fur-thermore, user interactions with the website may provide an easy approach to improve the catalogue. In this paper, we introduce Masader Plus , a web interface for users to browse Masader. We demonstrate data ex-ploration, filtration, and a simple API that al-lows users to examine datasets from the backend. Masader Plus can be explored using this link https://arbml.github.io/masader . A video recording explaining the interface can be found here https://www.youtube.com/ watch?v=SEtdlSeqchk .

Subfields: Artificial Intelligence, Natural Language Processing, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Daniel D'souza
  2. Wei-Yin Ko
  3. Zheng-Xin Yong
  4. Niklas Muennighoff
  5. Gbemileke Onilude
  6. Marzieh Fadaee
  7. Shayne Longpre
  8. Julia Kreutzer

In Natural Language Processing

  1. Niklas Muennighoff
  2. Marzieh Fadaee
  3. Shayne Longpre
  4. Julia Kreutzer
  5. Ahmet Üstün
  6. Stefan Riezler
  7. Iryna Gurevych
  8. Yang Gao

In Evaluation & Benchmarks

  1. Daniel D'souza
  2. Wei-Yin Ko
  3. Niklas Muennighoff
  4. Marzieh Fadaee
  5. Shayne Longpre
  6. Julia Kreutzer

Citations in the corpus