  Computational sign language research lacks the large-scale datasets that
enables the creation of useful reallife applications. To date, most research
has been limited to prototype systems on small domains of discourse, e.g.
weather forecasts. To address this issue and to push the field forward, we
release six datasets comprised of 190 hours of footage on the larger domain of
news. From this, 20 hours of footage have been annotated by Deaf experts and
interpreters and is made publicly available for research purposes. In this
paper, we share the dataset collection process and tools developed to enable
the alignment of sign language video and subtitles, as well as baseline
translation results to underpin future research.
