  This paper presents ParaQA, a question answering (QA) dataset with multiple
paraphrased responses for single-turn conversation over knowledge graphs (KG).
The dataset was created using a semi-automated framework for generating diverse
paraphrasing of the answers using techniques such as back-translation. The
existing datasets for conversational question answering over KGs
(single-turn/multi-turn) focus on question paraphrasing and provide only up to
one answer verbalization. However, ParaQA contains 5000 question-answer pairs
with a minimum of two and a maximum of eight unique paraphrased responses for
each question. We complement the dataset with baseline models and illustrate
the advantage of having multiple paraphrased answers through commonly used
metrics such as BLEU and METEOR. The ParaQA dataset is publicly available on a
persistent URI for broader usage and adaptation in the research community.
