# GLARE: Google Apps Arabic Reviews Dataset

arXiv: https://arxiv.org/abs/2412.15259 · HTML: https://mlsanity.com/paper/2412.15259/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 18 references that are in the map.
- First posted on arXiv 16 Dec 2024.

## Builds on (most cited first, 4 of 4)

- [Masader: Metadata Sourcing for Arabic Text and Speech Data Resources](https://mlsanity.com/paper/2110.06744/) (2021)
- [Let-Mi: An Arabic Levantine Twitter Dataset for Misogynistic Language](https://mlsanity.com/paper/2103.10195/) (2021)
- [ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks](https://mlsanity.com/paper/2004.05861/) (2020)
- [ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset](https://mlsanity.com/paper/2011.00578/) (2020)

## Abstract (arXiv)

This paper introduces GLARE an Arabic Apps Reviews dataset collected from Saudi Google PlayStore. It consists of 76M reviews, 69M of which are Arabic reviews of 9,980 Android Applications. We present the data collection methodology, along with a detailed Exploratory Data Analysis (EDA) and Feature Engineering on the gathered reviews. We also highlight possible use cases and benefits of the dataset.