Pinterest dataset for age and gender identification in author profiling

This dataset was used for the experiments presented in the article "Reconstructive Classification for Age and Gender Identification in Social Networks" - IEEE Transactions on Computational Social Systems

The dataset contains text data from 548,761 pins corresponding to 264 users of Pinterest.

There are 7 files.

The first 5 files correspond to the extracted textual features from the pins that are aggregated per user: ats, emojis/emoticons, hashtags, links, and words.

There are 264 lines in each file (one per user), as the concatenation of the extracted features from all the pins corresponding to each user.

The last 2 files are the labels for the age and gender of the users. There are also 264 lines (one per user).

For age, there are 4 possible labels: 18-24, 25-34, 35-46, and 50+

For gender, there are 2 possible labels: F and M