KazQAD is a Kazakh open-domain question answering dataset that can be used for information retrieval, reading comprehension, and full QA evaluation tasks.
Leveraging the knowledge of large language models (LLMs) through query decomposition and self-generated passages can significantly improve the performance of open-domain question answering systems.