Sports Video Question Answering Dataset

A dataset containing sports video content paired with text for question answering tasks. It was created by Yumq123 and uploaded to Hugging Face, with a last recorded update in March 2026. Platform tags indicate it contains between 10,000 and 100,000 entries.

Use Cases

• Train models to answer text-based questions about events in sports video clips.
• Develop video-language alignment models using paired sports video and descriptive text data.
• Benchmark the performance of multimodal transformers on sports-specific reasoning tasks.
• Analyze temporal event understanding in sports by linking video segments to textual queries.

Strengths

• Dataset size is categorized as between 10,000 and 100,000 entries, providing a substantial base for training.
• Includes multimodal data (video and text) specifically focused on the sports domain.
• Last updated in March 2026, suggesting recent maintenance.

Limitations

• Specific row count, column names, and video resolution are unknown, limiting precise technical assessment.
• Geographic scope is tagged only as 'US Region', which may indicate a spatial bias.
• The absence of detailed sample data and file formats makes preprocessing requirements unclear.

Provenance

Source

Hugging Face dataset uploaded by author Yumq123.

Collection Method

null

Time Range

null

Freshness

Last updated on 2026-03 13.

Geography

Platform tags indicate a primary focus on the US region.