Dataset · Hugging Face

addisonwu05/sportsd

Name: sportsd
Creator: addisonwu05
License: cc-by-4.0
Keywords: task_categories:visual-question-answering, task_categories:video-classification, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:imagefolder, modality:image, library:datasets, library:mlcroissant, region:us, soccer, football, decision-making, vision-language-models, sports-analytics

SportsD: On-Ball Soccer Decision Benchmark SportsD tests whether a vision-language model picks better on-ball soccer actions than professional players did, using possession-value (VAEP) ground truth from two World Cups. Each event freezes a real on-ball moment. The model sees the seconds before the moment and picks one action: a pass to a specific lettered teammate, or a shot. Every candidate action has a VAEP expected value, so every answer gets a real value score. 1421… See the full description on the dataset page: https://huggingface.co/datasets/addisonwu05/sportsd.

View on Hugging FaceReport an issue

Author / organization	addisonwu05
License (as declared)	cc-by-4.0
Downloads	714 (as reported by Hugging Face)
Likes	2
Created	31 August 2026
Last updated at source	13 September 2026

soccerfootballdecision-makingvision-language-modelssports-analyticsvaep

Embed this entry

<iframe src="https://silytics.si/embed/item/ca45c14c-7164-4708-b9dc-4505b62486e9" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

714 now (-270 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from addisonwu05

addisonwu05/llm-polysemy-outputsDataset
addisonwu05/10D-500KDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.