In this study, we present a newly built Greek Sign Language (GSL) corpus. The procedures followed during its implementation, consists of the linguistic design and validation, the studio and ardware acquisition configuration, the implementation and supervision of the acquisition itself, and the post-processing of the annotations for the release of accompanying linguistic/annotation resources. The reported GSL phrase corpus forms the basis for machine learning and training to serve continuous sign language processing and recognition.