SARA is a database, which consists of a set of spontaneous not pre-specified colloquial phrases in everyday life and life situations that are collected from media shows, episodes and films published on YouTube played by native speakers with three different Arabic dialects and accents. SARA's dialects are the Egyptian dialect (EGY), the Arabian Peninsula dialect (ARP) and the Levantine dialect (LEV). In addition, within each dialect group there are a number of different accents. Each utterance contains a one-speaker speech, the number of speakers within the dialect and the number of utterances by a speaker is unknown. This dataset can be used in speech, speaker, dialect and accent recognition applications. SARA dataset contains only adult speakers to avoid the improper pronunciation of the children that can affect the detection process. The dataset samples are variant in length from 3 to 7 seconds in order to verify the minimum time in which we can determine the speaker dialect or accent when the speaker speaks in free talk, which is the main scope of this research.