Arabic Reading Comprehension Dataset (ARCD) Dataset
Created by Mozannar et al. at 2019, the Arabic Reading Comprehension Dataset (ARCD) Dataset contains 1,395 questions posed by crowdworkers on Wikipedia articles, and a machine translation of the Stanford Question Answering Dataset (Arabic-SQuAD) containing 48,344 questions., in Arabic language. Containing ~50,000 in JSON file format.
Dataset Sources
Here you can download the Arabic Reading Comprehension Dataset (ARCD) dataset in JSON format.
Download Arabic Reading Comprehension Dataset (ARCD) dataset JSON files
Fine-tune with Arabic Reading Comprehension Dataset (ARCD) dataset
Metatext is a powerful no-code tool for train, tune and integrate custom NLP models
Paper
Read full original Arabic Reading Comprehension Dataset (ARCD) paper.
Classify and extract text 10x better and faster 🦾
Metatext helps you to classify and extract information from text and documents with customized language models with your data and expertise.