Name: ASTD
Description: 10k Arabic sentiment tweets classified into four classes subjective positive, subjective negative, subjective mixed, and objective
Provider: Cairo University 
Paper Title: ASTD: Arabic Sentiment Tweets Dataset
  
Tasks: sentiment analysis
Venue Name: Conference on Empirical Methods in Natural Language Processing
Authors: Mahmoud Nabil,Mohamed A. Aly,A. Atiya
Abstract: This paper introduces ASTD, an Arabic social sentiment analysis dataset gathered from Twitter. It consists of about 10,000 tweets which are classified as objective, subjective positive, subjective negative, and subjective mixed. We present the properties and the statistics of the dataset, and run experiments using standard partitioning of the dataset. Our experiments provide benchmark results for 4 way sentiment classification on the dataset.