Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports

Understand

Reasoning over sports videos for question answering is an important task with numerous applications, such as player training and information retrieval.

• However, this task has not been explored due to the lack of relevant datasets and the challenging nature it presents.
• Most datasets for video question answering (VideoQA) focus mainly on general and coarse-grained understanding of daily-life videos, which is not applicable to sports scenarios requiring professional action understanding and fine-grained motion analysis.
• In this paper, we introduce the first dataset, named Sports-QA, specifically designed for the sports VideoQA task.