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Mobile Application Support Classifier Dataset
Software and Technology
Tags and Keywords
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Free
About
This dataset is designed to help with automatically classifying bug reports for applications available on both Android and iOS platforms. It provides a way to learn to build Machine Learning classifiers. The data is derived from two StackExchange forums: Android Enthusiasts and Ask Differently (Apple). It has been pre-processed from raw XML files to focus on useful information for classification. For the Apple forum, the data is specifically narrowed down to questions tagged with "iOS", "iPhone", or "iPad". The main objective is to predict whether a given question or bug report pertains to Android or iOS based on its title and/or body.
Columns
- Id: The official StackExchange ID assigned to each question.
- Title: The title of the post.
- Body: The main content of the question, including details.
- Score: The overall score given by StackExchange community users for the post.
- ViewCount: The total number of views accumulated on the post.
- Label: Indicates whether the question is about Android or iOS.
- LabelNum: The numerical representation of the 'Label' column.
Distribution
The dataset is typically provided as a CSV file. It contains a randomly selected test split of questions. There are 11,008 unique records in total. The 'Label' column shows a distribution where 72% of questions are related to Android and 28% are related to iOS. Detailed distributions for 'Score' and 'ViewCount' are also available, showing varying counts across different ranges.
Usage
This dataset is ideal for:
- Developing and training Machine Learning models to classify text data.
- Automating the process of routing bug reports to the appropriate Android or iOS support teams.
- Conducting natural language processing (NLP) research related to mobile operating systems.
- Practising and honing skills in building robust classification models.
Coverage
The dataset's geographic scope is global. It was listed on 27/06/2025. The data covers questions from StackExchange forums related to Android and Apple products, with Apple content specifically filtered for "iOS", "iPhone", and "iPad" tags.
License
CC-BY-SA
Who Can Use It
- Companies developing software for both Android and iOS, seeking to automate bug report classification.
- Data scientists and machine learning engineers looking for a practical dataset to build and test text classification models.
- Academics and students studying NLP, machine learning, or data analysis.
- Anyone interested in learning to build ML classifiers for real-world problems.
Dataset Name Suggestions
- Question Classification: Android or iOS
- StackExchange Mobile OS Classifier
- Android vs. iOS Bug Report Data
- Mobile Application Support Classifier Dataset
- StackExchange Mobile Queries
Attributes
Original Data Source: Question Classification: Android or iOS?
QUALITY