Sharathhebbar24/app_reviews_modded
The modded version of https://huggingface.co/datasets/app_reviews Dataset Card for app-reviews-modded Dataset Summary It is a large dataset of Android applications belonging to 23 different app categories, which provides an overview of the types of feedback users report on the apps and documents the evolution of the related code metrics. The dataset contains about 395 applications of the F-Droid repository, including around 600 versions, 280,000 user reviews… See the full description on the dataset page: https://huggingface.co/datasets/Sharathhebbar24/app_reviews_modded.
The modded version of https://huggingface.co/datasets/app_reviews
Dataset Card for app-reviews-modded
Dataset Summary
It is a large dataset of Android applications belonging to 23 different app categories, which provides an overview of the types of feedback users report on the apps and documents the evolution of the related code metrics. The dataset contains about 395 applications of the F-Droid repository, including around 600 versions, 280,000 user reviews (extracted with specific text mining approaches)
Supported Tasks and Leaderboards
The dataset we provide comprises 395 different apps from the F-Droid repository, including code quality indicators of 629 versions of these apps. It also encloses app reviews related to each of these versions, which have been automatically categorized classifying types of user feedback from a software maintenance and evolution perspective.
Languages The dataset is a monolingual dataset that has the messages in English.
The star field is termed as class label
Data Fields
- package_name: Name of the Software Application Package
- review: Message of the user
- date: the date when the user posted the review
- star: rating provided by the user for the application
- products: Name of the product/App
Data Splits.
- Training data: 259258
- Testing data: 28807