  Web pornography represents a large fraction of the Internet traffic, with
thousands of websites and millions of users. Studying web pornography
consumption allows understanding human behaviors and it is crucial for medical
and psychological research. However, given the lack of public data, these works
typically build on surveys, limited by different factors, e.g. unreliable
answers that volunteers may (involuntarily) provide. In this work, we collect
anonymized accesses to pornography websites using HTTP-level passive traces.
Our dataset includes about 15 000 broadband subscribers over a period of 3
years. We use it to provide quantitative information about the interactions of
users with pornographic websites, focusing on time and frequency of use,
habits, and trends. We distribute our anonymized dataset to the community to
ease reproducibility and allow further studies.
