content-based dataset that composes of 12 features for eight common types of files (JPG, PNG, HTML, TXT, MP4, M4A, MOV, and MP3) to be suitable for file type identification (FTI). These features were extracted from pool of file fragment of size 512 byte each from all the prementioned eight types. This dataset is developed in such a way that can be used for supervised and unsupervised ML model. It provides the ability to classifying and clustering the above-mentioned type into two levels.

Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. One of the major stumbling blocks for manual retinal examination is the lack of a sufficient number of qualified medical personnel per capita to diagnose diseases.

The abstract will be written once the manuscript is accepted.

This dataset contains information about Android app users’ reviews crawled from https://play.google.com/store/apps from 2022/4/2 to 2022/4/14. User reviews of 24 Korean trading apps were collected from Google Play Store, and the total number of the collected reviews is 41,705. App name, user ID, review content, rating, and date information were collected for each review by web crawling. The entire dataset is in Korean.