  Darija Open Dataset (DODa) represents an open-source project aimed at
enhancing Natural Language Processing capabilities for the Moroccan dialect,
Darija. With approximately 100,000 entries, DODa stands as the largest
collaborative project of its kind for Darija-English translation. The dataset
features semantic and syntactic categorizations, variations in spelling, verb
conjugations across multiple tenses, as well as tens of thousands of translated
sentences. The dataset includes entries written in both Latin and Arabic
alphabets, reflecting the linguistic variations and preferences found in
different sources and applications. The availability of such dataset is
critical for developing applications that can accurately understand and
generate Darija, thus supporting the linguistic needs of the Moroccan community
and potentially extending to similar dialects in neighboring regions. This
paper explores the strategic importance of DODa, its current achievements, and
the envisioned future enhancements that will continue to promote its use and
expansion in the global NLP landscape.
