| [![CC BY 4.0][cc-by-shield]][cc-by] | |
| [](https://doi.org/10.5281/zenodo.6457824) | |
| # GLARE: Google Apps Arabic Reviews | |
| Dataset and Code of "GLARE: Google Apps Arabic Reviews" paper. | |
| You can download the paper via: [[Github]](GLARE.pdf) | |
| ## Paper Summary | |
| We introduce GLARE: Google Apps Arabic Reviews dataset. A collection of 76M reviews from 9,980 Android apps collected from Google PlayStore Saudi store. | |
| ## Preparation | |
| #### Below is details about each file, please ensure that you have enough storage before downloading the data. | |
| | Data Type | File Name | File Size | File Type | | |
| | ------------------ |---------------- | -------------- |-------------- | | |
| | raw | apps | 4.1 MB | CSV | | |
| | raw | reviews | 17 GB | CSV | | |
| | raw | categories/ | 4.3 MB | CSV | |
| | engineered | apps | 3.8 MB | CSV | |
| | engineered | reviews | 21.9 GB | CSV | |
| | engineered | vocabulary | 530.5 MB | CSV | |
| ## File Specifications | |
| - **apps.csv**: File that contains apps metadata. | |
| - **reviews.csv**: File that contains reviews and reviews metadata. | |
| - **categories/**: Folder that contains 59 CSV files, each file corresponds to one category with apps and apps metadata scrapped from top 200 free apps for that category. | |
| - **vocabulary.csv**: File that contains vocabulary set generated from reviews with additional engineered features (word length, word frequency, has noise or digits, ..etc.) | |
| ### Raw Data | |
| #### Apps Metadata | |
| ``` | |
| { | |
| "title":"application name/title", | |
| "app_id":"application unique identifier", | |
| "url":"application url at Google PlayStore", | |
| "icon":"url for image object", | |
| "developer":"developer name", | |
| "developer_id":"developer unique identifier", | |
| "summary":"short description of the application", | |
| "rating":"application accumulated rating" | |
| } | |
| ``` | |
| #### Reviews Metadata | |
| ``` | |
| { | |
| "at":"review datetime", | |
| "content":"review text", | |
| "replied_at":"developer reply datetime", | |
| "reply_content":"developer reply content", | |
| "review_created_version":"user application version during the time of review", | |
| "review_id":"review unique identifier", | |
| "rating":"user rating", | |
| "thumbs_up_count":"number of users that agree with the reviewer", | |
| "user_name":"user display name", | |
| "app_id":"application unique identifier" | |
| } | |
| ``` | |
| ### Engineered Data | |
| #### Apps Metadata | |
| Same as apps.csv in raw data with the following additions: | |
| ``` | |
| { | |
| "reviews_count":"number of reviews for the application", | |
| "categories":"list of application categories", | |
| "categories_count":"number of application categories" | |
| } | |
| ``` | |
| #### Reviews Metadata | |
| Same as reviews.csv in raw data with the following additions: | |
| ``` | |
| { | |
| "tokenized_review":"list of review words tokenized on white-space", | |
| "words_count":"number of words in review" | |
| } | |
| ``` | |
| #### Vocabulary | |
| ``` | |
| { | |
| "word":"term text", | |
| "length":"word characters count", | |
| "frequency":"word occurrences in the reviews dataset", | |
| "has_noise":"true or false if word contains anything non-arabic alphanumeric", | |
| "noise":"list of noise (anything non-arabic alphanumeric) in the word", | |
| "has_digits":"true or false if word contains arabic or hindi digits", | |
| "digits":"list of digits in the word" | |
| } | |
| ``` | |
| ### Folders Structure | |
| - Data are prepared as raw data or engineered data. | |
| - Download the dataset files: [Google Drive](https://drive.google.com/drive/folders/1Cb61K3wFdVlIQfKouchsUpn5oXdJbhyg?usp=sharing) | [Zenodo](https://zenodo.org/record/6457824#.Ylv-gX9Bz8w) | [Alternative Google Drive](https://drive.google.com/drive/folders/1jWCCyJPKFf6Q-1zDuGRUBi6XtlmkyHlt?usp=sharing) | |
| - The directory structure is as follow: | |
| ``` | |
| data | |
| └── raw | |
| ├── apps.csv | |
| ├── reviews.csv | |
| └── categories/ | |
| └── engineered | |
| ├── apps.csv | |
| ├── reviews.csv | |
| └── vocabulary.csv | |
| ``` | |
| ## Citation | |
| If you use this dataset please cite as: | |
| ``` | |
| @dataset{alghamdi_fatima_2022_6457824, | |
| author = {AlGhamdi, Fatima and | |
| Mohammed, Reem and | |
| Al-Khalifa, Hend and | |
| Alowisheq, Areeb}, | |
| title = {GLARE: Google Apps Arabic Reviews Dataset}, | |
| month = apr, | |
| year = 2022, | |
| publisher = {Zenodo}, | |
| version = {1.0}, | |
| doi = {10.5281/zenodo.6457824}, | |
| url = {https://doi.org/10.5281/zenodo.6457824} | |
| } | |
| ``` | |
| ## License | |
| This work is licensed under a | |
| [Creative Commons Attribution 4.0 International License][cc-by]. | |
| [![CC BY 4.0][cc-by-image]][cc-by] | |
| [cc-by]: http://creativecommons.org/licenses/by/4.0/ | |
| [cc-by-image]: https://i.creativecommons.org/l/by/4.0/88x31.png | |
| [cc-by-shield]: https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg | |