anonymousatom/pushupbench
PushUpBench: Video Repetition Counting Benchmark Project Page | Paper | GitHub PushUpBench is a benchmark for evaluating vision-language models (VLMs) on their ability to count exercise repetitions in videos. It was introduced in the paper "PushupBench: Your VLM is not good at counting pushups". The dataset consists of 446 long-form clips (averaging 36.7s) designed to test temporal reasoning and repetition counting beyond simple pattern recognition. Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/anonymousatom/pushupbench.
| Author / organization | anonymousatom |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 354 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 16 March 2026 |
| Last updated at source | 28 April 2026 |
Popularity, last 2 days
354 now (-10 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Related papers
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.