KazQAD: Kazakh Open-Domain Question Answering Dataset

Understand

We introduce KazQAD -- a Kazakh open-domain question answering (ODQA) dataset -- that can be used in both reading comprehension and full ODQA settings, as well as for information retrieval experiments.

• KazQAD contains just under 6,000 unique questions with extracted short answers and nearly 12,000 passage-level relevance judgements.
• We use a combination of machine translation, Wikipedia search, and in-house manual annotation to ensure annotation efficiency and data quality.
• The questions come from two sources: translated items from the Natural Questions (NQ) dataset (only for training) and the original Kazakh Unified National Testing (UNT) exam (for development and testing).