  The expanding financial markets of the Arab world require sophisticated
Arabic NLP tools. To address this need within the banking domain, the Arabic
Financial NLP (AraFinNLP) shared task proposes two subtasks: (i) Multi-dialect
Intent Detection and (ii) Cross-dialect Translation and Intent Preservation.
This shared task uses the updated ArBanking77 dataset, which includes about 39k
parallel queries in MSA and four dialects. Each query is labeled with one or
more of a common 77 intents in the banking domain. These resources aim to
foster the development of robust financial Arabic NLP, particularly in the
areas of machine translation and banking chat-bots. A total of 45 unique teams
registered for this shared task, with 11 of them actively participated in the
test phase. Specifically, 11 teams participated in Subtask 1, while only 1 team
participated in Subtask 2. The winning team of Subtask 1 achieved F1 score of
0.8773, and the only team submitted in Subtask 2 achieved a 1.667 BLEU score.
