MAFQA: Multi-hop Arabic Fatwa Question Answering Dataset

MAFQA (Multi-hop Arabic Fatwa Question Answering) is a structured dataset
designed to support research in Arabic natural language processing, question
answering, and multi-step reasoning within Islamic jurisprudential (fatwa)
contexts.
The dataset contains complex Arabic fatwa questions that require decomposition
into multiple intermediate sub-questions, retrieval of relevant reasoning
steps, and synthesis of a final authoritative answer.

MAFQA enables the development and evaluation of decomposition-based question
answering systems, recursive reasoning frameworks, and domain-specific Arabic
language models.