Language and Multimodal Models in Sports: A Survey of Datasets and Applications
Authors: Haotian Xia, Zhengbang Yang, Yun Zhao, Yuqing Wang, Jingxi Li, Rhys Tracy, Zhuangdi Zhu, Yuan-fang Wang, Hanjie Chen, Weining Shen


Reviewer paper summaries: The survey paper focuses on a unique sports domain, providing a comprehensive overview of related datasets and applications. It categorizes sports-related datasets into language model datasets, multimodal datasets, and convertible datasets, highlighting their applications such as hate speech detection, education, and game summarization.

Additionally, it identifies the current main challenges and future directions for sports datasets, including applications tailored for different groups of people such as professionals, enthusiasts, and those involved in the medical and rehabilitation fields.
Summary of strengths: (1) This paper explores a unique aspect of multimodal and language-based datasets in sports, addressing a significant gap in this area.

(2) It offers a clear and comprehensible classification of existing datasets and their corresponding applications.

(3) Additionally, the paper identifies several promising future applications for sports datasets.

(4) Overall the paper is clearly written and easy to understand.
Summary of weaknesses: (1) For language-based datasets, besides describing their corresponding datasize and data format. What is the unique challenges that these datasets has to solve when comparing with other datasets like hate speech detection in social and other named-entity recogintion domain.

(2) For all datasets, this paper does not introduce the current progress on solving these tasks and what is the core problem that exists in solving these tasks.

(3) Additionally, there is no extra information about potential problems in each dataset like data imbalancement, or data quality.
Comments, suggestions and typos: What is the current state-of-the-art model performance on these all listed dataset? Before the identification of challenges, readers might want to know what is the core problem left to solve in different sports area.
Overall assessment scores: 2