  Frequently Asked Questions (FAQ) webpages are created by organizations for
their users. FAQs are used in several scenarios, e.g., to answer user
questions. On the other hand, the content of FAQs is affected by user questions
by definition. In order to promote research in this field, several FAQ datasets
exist. However, we claim that being collected from community websites, they do
not correctly represent challenges associated with FAQs in an organizational
context. Thus, we release orgFAQ, a new dataset composed of $6988$ user
questions and $1579$ corresponding FAQs that were extracted from organizations'
FAQ webpages in the Jobs domain. In this paper, we provide an analysis of the
properties of such FAQs, and demonstrate the usefulness of our new dataset by
utilizing it in a relevant task from the Jobs domain. We also show the value of
the orgFAQ dataset in a task of a different domain - the COVID-19 pandemic.
