SportsCom: Multi-Sport Commentary Dataset for Video Understanding

SportsCom is a large-scale, multi-attribute, multi-category, and multi-sport sports commentary dataset for sports video understanding. The dataset was created by Yumq123 and is hosted on Hugging Face, with a last recorded update on 2026, March 17. The code repository for the project is available on GitHub.

Use Cases

• Train video captioning models based on multi-sport commentary data.
• Develop question-answering systems for sports video content based on multi-attribute annotations.
• Benchmark multimodal understanding models on the multi-category sports domain.

Strengths

• Dataset is described as large-scale, multi-attribute, multi-category, and multi-sport.
• Associated code base is publicly available on GitHub for reproducibility.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.

Provenance

Source

Hugging Face, uploaded by Yumq123.

Collection Method

Method of data gathering is not specified in the provided metadata.

Time Range

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Freshness

Last updated 2026-03-17 09:13:51; freshness should be verified.

Geography

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